bestiary

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Published: Jun 8, 2026 License: MIT Imports: 17 Imported by: 0

README

bestiary

Go module and CLI for querying AI model metadata from models.dev, with a canonical naming scheme that gives every model a stable, cross-provider identity.

Provides strongly-typed providers and model IDs, a static model registry (~4,300 models across ~115 providers), entity normalization (Family / Variant / Version / Date / Modifier), an HTTP client with retry, and a local SQLite cache for offline queries.

Install

As a Go library:

go get github.com/dayvidpham/bestiary@v0.2.0

As a CLI tool:

go install github.com/dayvidpham/bestiary/cmd/bestiary@latest

Requires Go 1.24+. Builds with CGO_ENABLED=0 (no C compiler needed).

The canonical representation

The same model shows up across many providers under inconsistent raw IDs. Anthropic's Claude Opus 4.6 appears as claude-opus-4-6 direct from Anthropic, as anthropic/claude-opus-4.6 on Vercel, as claude-opus-4-6-thinking on a reseller, and as eu.anthropic.claude-opus-4-6-v1 on a cloud gateway. The models.dev family field is just as noisy — claude-opus conflates the family (claude) with the variant (opus), and ~25% of entries have no family at all.

bestiary normalizes each model into a canonical tuple and renders it as a single human-readable string:

provider / family / variant / version @ date [modifier]

anthropic / claude  / opus    / 4.6     @ 2026-02-05
Field Example Meaning
Provider anthropic Who hosts this manifestation of the model
Family claude The model line (provider-independent)
Variant opus The tier/branch within the family
Version 4.6 The version, distinct from the date — Opus 4.5 and 4.6 are different models
Date 2026-02-05 Release/snapshot date
Modifier thinking An optional mode suffix (thinking, vision, latest, …)

The full canonical form for a modifier-bearing model:

alibaba-cn/kimi@2025-11-06[thinking]

Why a tuple? The tuple (Family, Variant, Version, Date) is the canonical identity; the string forms are just convenience formatters over it. Two design properties fall out:

  • Cross-provider comparison. (Family, Variant, Version) groups the same model across every provider that hosts it, so you can ask "who serves Claude Opus 4.6?" or "what does it cost on each?" without string-matching raw IDs.
  • Version ≠ date. Splitting Version from Date is the whole point: a snapshot date alone can't tell Opus 4.5 from 4.6. The parser extracts the version from the model ID (which is authoritative) and falls back to the API family field.

Normalization is deterministic (suffix tables + curated overrides in parse/data/), so it's auditable and easy to fix. Inputs the parser can't cleanly decompose are recorded to .bestiary-gen-cache/parse_failures.json at codegen time rather than silently mangled.

The design draws on ISO 1087 / IFLA-LRM terminology concepts (a concept vs. its designations); see docs/research/entity-normalization.md for the full rationale. Today every designation is rated admitted; promotion to preferred is deferred to a later curation pass.

Demo

Resolve a model by its canonical form (bestiary show defaults to canonical/"peasant" input):

$ bestiary show 'anthropic/claude/opus/4.6@2026-02-05'
{
  "ID": "claude-opus-4-6",
  "Provider": "anthropic",
  "DisplayName": "Claude Opus 4.6",
  "RawFamily": "claude-opus",
  "Family": "claude",
  "Variant": "opus",
  "Version": "4.6",
  "Date": "2026-02-05",
  "Modifier": "",
  "ContextWindow": 1000000,
  "MaxOutput": 128000,
  "Reasoning": true,
  ...
}

Bare or partial inputs are ambiguous — many providers host the same model, so bestiary lists the canonical provider (marked *) separately from the rehosts:

$ bestiary show claude
* = canonical provider

Canonical:
* anthropic/claude/opus/4.6@2026-02-05
* anthropic/claude/sonnet/4.6@2026-02-17
* anthropic/claude/haiku/4.5@2025-10-15
* anthropic/claude/opus/4.5@2025-11-24
* anthropic/claude/sonnet/4.5@2025-09-29
+9 more

Also rehosted by:
  deepinfra
  perplexity-agent
  azure-cognitive-services
  fastrouter
  nano-gpt
+24 more

To see all providers/variants: bestiary list   (or: bestiary list --provider <slug>)
To resolve an exact model ID:  bestiary show <raw-id> --format=raw

Other input formats are opt-in via --format. A Package-URL with a provider namespace filters to that provider, falling back to a loose cross-provider match when the namespace has no hit:

$ bestiary show --format purl 'pkg:huggingface/anthropic/claude-opus-4-5'
{ "ID": "claude-opus-4-5", "Provider": "anthropic", "Family": "claude", "Version": "4.5", ... }

List models in a table:

$ bestiary list --provider anthropic --output table
ID                                        Provider      Family              Context  MaxOutput  Reason  Tools   CostIn/MTok
----------------------------------------  ------------  ----------------  ---------  ---------  ------  -----  ------------
claude-3-5-haiku-20241022                 anthropic     claude               200000       8192      no    yes         $0.80
claude-haiku-4-5                          anthropic     claude               200000      64000     yes    yes         $1.00
claude-opus-4-6                           anthropic     claude              1000000     128000     yes    yes         $5.00
...

CLI

bestiary <list|show|sync> [flags]
Commands

show — resolve a single model and print it (offline). The argument is interpreted in the canonical ("peasant") form by default; use --format to supply HuggingFace, PURL, or raw IDs. If the input matches more than one model, an ambiguous-candidate listing is printed to stderr and the command exits non-zero.

bestiary show 'anthropic/claude/opus/4.6@2026-02-05'      # canonical form (default)
bestiary show claude-opus-4-6 --format raw                # raw API model ID
bestiary show anthropic/claude-opus-4-6 --format hf       # HuggingFace repo-id
bestiary show pkg:huggingface/anthropic/claude-opus-4-5 --format purl
bestiary show 'anthropic/claude/opus/4.6@2026-02-05' --output yaml

list — query models from the static registry + local cache (offline).

bestiary list                                       # all models, JSON
bestiary list --provider anthropic --output table   # Anthropic models, table
bestiary list --output yaml                          # all models, YAML

sync — fetch models from the models.dev API and cache locally (online).

bestiary sync                                        # fetch all, print JSON
bestiary sync --provider anthropic --output table

After syncing, list and show merge static + cached data. When both sources have the same (ID, Provider), the most recently synced version wins.

Flags
Flag Applies to Default Description
--output all json Output rendering: json, yaml, table. (Was --format in v0.0.1.)
--format show peasant Input scheme for the model argument: peasant (canonical), huggingface/hf, purl, raw. No auto-detection — non-canonical inputs must select their format.
--provider list, sync (all) Filter by provider slug (e.g. anthropic, google, openai).
--db-path all $XDG_CACHE_HOME/bestiary/models.db SQLite cache location.
--scheme show Deprecated alias for --format; kept for v0.0.1 scripts. --format wins if both are set.

Library usage

package main

import (
	"context"
	"fmt"
	"time"

	"github.com/dayvidpham/bestiary"
)

func main() {
	// Static registry (compiled-in, no network)
	models := bestiary.StaticModels()
	fmt.Printf("%d models available\n", len(models))

	// Resolve any expression to canonical ModelRef(s).
	// Returns ErrAmbiguous (use errors.As) when the input matches multiple models.
	refs, err := bestiary.Resolve("anthropic/claude/opus/4.6@2026-02-05")
	if err == nil && len(refs) > 0 {
		r := refs[0]
		fmt.Println(r.Format(bestiary.SchemeCanonical))   // anthropic/claude/opus/4.6@2026-02-05
		fmt.Println(r.Format(bestiary.SchemeHuggingFace)) // anthropic/claude-opus-4-6
		fmt.Println(r.Format(bestiary.SchemePURL))        // pkg:huggingface/anthropic/claude-opus-4-6
		fmt.Println(r.Format(bestiary.SchemeRaw))         // claude-opus-4-6
	}

	// Opt into a non-canonical input scheme.
	refs, err = bestiary.Resolve(
		"pkg:huggingface/anthropic/claude-opus-4-5",
		bestiary.WithInputFormat(bestiary.InputFormatPURL),
	)

	// The canonical provider for a family (e.g. claude -> anthropic).
	fmt.Println(bestiary.Family("claude").CanonicalProvider())

	// Lookup / filter the static registry.
	if m, ok := bestiary.LookupModelByProvider(bestiary.ProviderAnthropic, "claude-opus-4-6"); ok {
		ref := m.Ref() // 8-field ModelRef
		fmt.Printf("%s v%s @ %s\n", ref.Family, ref.Version, ref.Date)
	}
	for _, m := range bestiary.ModelsByFamily("claude") {
		fmt.Println(m.ID)
	}
}

Fetching live data:

ctx := context.Background()
client := bestiary.NewClient(
	bestiary.WithTimeout(10*time.Second),
	bestiary.WithRetries(3),
)
models, err := client.FetchModels(ctx)
// or: client.FetchModelsByProvider(ctx, bestiary.ProviderGoogle)

Generated constants. go generate emits a Model__* constant for every model, named Model__<Provider>__<Family>__<Variant>__<Version>__<Modifier>__<Date> (double underscores between components, single within), e.g. Model__Anthropic__Claude__Opus__4_6__20260205.

Types

Type Description
Provider String type with well-known constants (ProviderAnthropic, ProviderGoogle, ProviderOpenAI, ProviderLocal). Any models.dev slug is valid.
ModelID String type for raw API model identifiers (e.g. "claude-opus-4-6").
ModelInfo Full model metadata: API fields + normalized RawFamily/Family/Variant/Version/Date/Modifier.
ModelRef The 8-field canonical identity tuple (ID, Provider, RawFamily, Family, Variant, Version, Date, Modifier) with Format(scheme) and String().
CanonicalScheme Int enum: SchemeCanonical, SchemeHuggingFace, SchemePURL, SchemeRaw.
InputFormat Parsed --format value: InputFormatPeasant, InputFormatHuggingFace, InputFormatPURL, InputFormatRaw.
Designation A serialized identifier (Value, Scheme, Provider, Rating) — one model has many designations.
AcceptabilityRating ISO-1087 rating: AcceptabilityAdmitted (default), AcceptabilityPreferred, AcceptabilityDeprecated.
ErrAmbiguous Struct error (use errors.As) carrying the candidate []ModelRef; returned by Resolve when an input matches multiple models.
Modality / Modalities Int enum + Input/Output modality lists.
Capability Supported bool + Config map[string]string for polymorphic fields (e.g. Interleaved).
Canonical string schemes
Scheme Output for Claude Opus 4.6
SchemeCanonical anthropic/claude/opus/4.6@2026-02-05
SchemeHuggingFace anthropic/claude-opus-4-6
SchemePURL pkg:huggingface/anthropic/claude-opus-4-6
SchemeRaw claude-opus-4-6

Schema versioning

bestiary tracks two versions (see version.go):

  • BestiarySchemaVersion — semver for bestiary's public output contract, documented by the JSON Schema (bestiary.schema.json). The v0.0.1 → v0.0.2 changes (new normalized fields, added methods) were additive; see MIGRATION_v0.0.1_to_v0.0.2.md.
  • UpstreamSchemaVersion<YYYY.MM.DD>-<sha256> pinning the models.dev schema snapshot bestiary was built against, plus UpstreamGitCommit / UpstreamGitRemote for provenance.

(The module release tag — v0.2.0 — is a separate axis from BestiarySchemaVersion: the Go API grew substantially, while the JSON wire format stayed backward-compatible.)

Releases

Release tags are created automatically when a release PR is merged. To cut a release:

  1. Open a PR into main whose title is release(vX.Y.Z): <summary> — the version lives in the conventional-commit scope, e.g. release(v0.2.3): lineage + entity linking. Pre-releases are supported: release(v0.2.3-rc1): …. A space after the ): is required (release(v0.2.3):x is not recognized).
  2. Merge it. The tag-on-release-merge workflow validates the title, then creates the annotated tag vX.Y.Z on the resulting commit on main (whether you squash or create a merge commit) and pushes it.

Notes:

  • Only active once it has landed on main. Because the trigger is pull_request, GitHub runs the workflow from the copy on the base branch — so the PR that introduces the workflow does not tag itself, and any release merged before it reaches main must be tagged manually.
  • Any PR whose title is not a strict release(vX.Y.Z): … is ignored (a silent no-op).
  • If the tag already exists, the workflow fails loudly (it never force-moves a published tag), so a duplicate or mistyped release PR is caught rather than silently doing nothing.
  • A tag pushed by the workflow's GITHUB_TOKEN does not trigger downstream on: push: tags workflows; use a PAT or deploy key if you later chain a release-build job off the tag.

Updating static data

The static registry and Model__* constants are code-generated from the models.dev API:

go generate ./...

This runs cmd/bestiary-gen, which fetches https://models.dev/api.json, normalizes every entry, and writes models_static_gen.go / models_constants_gen.go. Useful flags:

Flag Description
--cache-dir <dir> Where the fetched API response and parse-failure log are written.
--no-fetch Offline mode: reuse the cached api_response.json instead of hitting the network.

Parse failures are written to <cache-dir>/parse_failures.json for review.

Dependencies

  • Go 1.24+
  • zombiezen.com/go/sqlite (CGO-free SQLite driver)
  • No other external dependencies

License

MIT

Documentation

Overview

Package bestiary provides a thin wrapper and CLI interface for the models.dev API. It exposes types for AI model metadata and a local SQLite cache for offline use.

Index

Constants

View Source
const BestiarySchemaVersion = "0.1.0"

BestiarySchemaVersion is the semantic version of the bestiary JSON Schema. It follows semver (major.minor.patch) and must be incremented whenever the schema changes.

Changelog:

  • 0.0.2 → 0.0.3: widened the Modifier field string → []string (backward-INCOMPATIBLE public schema change).
  • 0.0.3 → 0.1.0: added the v0.2.3 entity-model fields (ModelInfo.Host, ModelInfo.Lineage; ModelRef.Host; new $defs EntityRef, LineageEdge, DerivationKind). Additive and backward-COMPATIBLE: the new fields are optional/zero-value, so 0.0.x records still validate.
View Source
const UpstreamGitCommit = "6a41e313"

UpstreamGitCommit is the short Git commit hash of the models.dev repository revision that corresponds to UpstreamSchemaVersion.

View Source
const UpstreamGitRemote = "git@github.com:anomalyco/models.dev.git"

UpstreamGitRemote is the canonical Git remote URL for the models.dev repository from which the upstream schema was sourced.

View Source
const UpstreamSchemaVersion = "2026.04.04-fd776194f63d717cce255cdfcff5ceaf18dccfe404a54f824a4b00afd354a8c6"

UpstreamSchemaVersion identifies the exact snapshot of the models.dev schema that this bestiary schema was derived from. Format: YYYY.MM.DD-sha256 where sha256 is the full 64 lowercase hex character SHA-256 hash of the upstream schema file (packages/core/src/schema.ts).

Variables

This section is empty.

Functions

func CanonicalizeModifiers added in v0.2.2

func CanonicalizeModifiers(mods []string) []string

CanonicalizeModifiers returns a NEW slice containing the modifiers de-duplicated (case-insensitively, first spelling wins) and sorted into the canonical order. An empty or all-empty input returns nil (the canonical "no modifiers" value), so the public contract is: empty → nil; single → 1-elem; multiple → canonical-ordered. It never mutates the input slice.

func DefaultDBPath

func DefaultDBPath() (string, error)

DefaultDBPath returns the default path for the models database. It uses $XDG_CACHE_HOME/bestiary/models.db, falling back to ~/.cache/bestiary/models.db when XDG_CACHE_HOME is not set.

func DetectHost added in v0.2.3

func DetectHost(id ModelID) (Host, ModelID)

DetectHost inspects a model ID for a curated serving-host PREFIX and, on a match, returns the corresponding Host plus the host-stripped ID. For example "azure-gpt-4o" → (HostAzure, "gpt-4o"). When no curated prefix matches it returns (HostNone, id) unchanged.

Detection is intentionally curated and ID-PREFIX-ONLY:

  • It NEVER consults the Provider field. A genuine host-as-provider (e.g. provider "azure-cognitive-services" serving a plain "gpt-4o" ID) carries no host prefix on its ID, so Host stays HostNone — the host is implied by the Provider, not duplicated as an instance attribute. This is the guard against the v0.2.2 blanket provider-name strip that erased a backend label.
  • Namespaced IDs (org/model, containing "/") are never split, so an org token that merely begins with a host word (e.g. "azure-cognitive-services/gpt-4o") is left untouched and Host stays HostNone.

Host is a per-instance ATTRIBUTE: stripping it makes the remaining (Family,Variant,Version) tuple host-independent, so a host-routed instance shares its entity identity with the plainly-served model.

func EntityModifiers added in v0.2.3

func EntityModifiers(mods []string, fam Family) []string

EntityModifiers returns the IDENTITY-class subset of mods, de-duplicated and in canonical order (see CanonicalizeModifiers). It is the projection used to build the "{identity-mods}" segment of an entity key: attribute-class modifiers are dropped because they do not affect identity. An empty/all-attribute input returns nil (the canonical "no identity modifiers" value).

EntityModifiers is implemented in terms of ClassifyModifier, so it tracks the curated table automatically: a token classifies as identity (and is retained here) unless the table — global or per-family override — demotes it to attribute. Unknown tokens default to identity and are retained.

func ExtractDate

func ExtractDate(id ModelID, releaseDate string) string

ExtractDate extracts a date string from a model ID or release date field, normalizing to the YYYY-MM-DD form.

Matching priority:

  1. id is scanned for a YYYYMMDD or YYYY-MM-DD substring.
  2. If id has no match, releaseDate is scanned.

Returns "" when no date is found in either field. The returned string always uses the YYYY-MM-DD format (hyphens added for YYYYMMDD).

func ExtractModifier added in v0.2.0

func ExtractModifier(id ModelID, family Family, variant string) (modifier string, modifierConsumed string)

ExtractModifier returns the modifier suffix found at the trailing end of id (after family and variant are resolved) and the literal substring of id that was consumed (including the leading hyphen).

Resolution: after family + variant are known, the function scans the model ID for a trailing "-<modifier>" token where modifier is in the allowlist from parse/data/modifiers.json. Matching is longest-suffix-first so that "think" does not shadow "thinking" when both are seeded.

Return values:

  • modifier: the bare modifier token (e.g. "thinking"), or "" when none found.
  • modifierConsumed: the substring removed from id (e.g. "-thinking"), or "" when none found.

The caller should strip modifierConsumed from the model ID before passing to ExtractVersionFromID and ExtractDate, so that the modifier token does not pollute version/date heuristics.

ExtractModifier does not modify ModelInfo or ModelRef fields — it is a pure function that returns values for the caller to wire. Pipeline order:

  1. ParseFamily (raw → family + variant)
  2. ExtractModifier (id, family, variant) → modifier, consumed
  3. Strip consumed from id
  4. ExtractVersionFromID on cleaned id
  5. ExtractDate on cleaned id

func ExtractVersionBetweenFamilyAndVariant added in v0.2.2

func ExtractVersionBetweenFamilyAndVariant(id ModelID, family Family, variant string) (version string, residual []string)

ExtractVersionBetweenFamilyAndVariant extracts the numeric version component from a model ID that embeds version digits BETWEEN the normalized family prefix and the variant name. This handles the common case where raw_family does not embed the version but the model ID does:

id="claude-3-5-haiku-20241022", family="claude", variant="haiku" → "3.5"
id="claude-3.5-haiku",          family="claude", variant="haiku" → "3.5"
id="gpt-5-mini",                family="gpt",    variant="mini"  → "5"

Returns (version, residual) where:

  • version is the dot-joined leading numeric tokens found between family and variant.
  • residual contains any tokens between the version and variant that are neither numeric nor the variant first-token (honest-audit signal).

N-M equivalence: hyphen-separated pure-digit tokens are dot-joined so that "3-5" → "3.5" and "4-6" → "4.6". This brings parity with ParseFamilyWithVersion.

Parity contract: ExtractVersionBetweenFamilyAndVariant fires if and only if detectVersionDigitsInID (parse.go) would also fire on the same (id, family, variant). This invariant is enforced by TestExtractVersionBetweenFamilyAndVariant_Parity (parse_internal_test.go), which asserts: detector fires ⟺ extractor returns non-empty version OR non-empty residual.

Algorithm:

  1. Normalize the family to a canonical single-word form (first alphabetic token of family for multi-token families like "claude-opus" → "claude").
  2. Strip "<normalizedFamily>-" prefix from the ID. Return ("","") when absent.
  3. Strip any trailing compact/dash date from the remainder.
  4. Tokenize on "-". Collect leading purely-numeric tokens up to the first variant-first-token (or end of tokens if variant is empty).
  5. Dot-join the numeric tokens → version. Tokens after the numeric run that are neither the variant first-token nor purely-numeric are residual.

func ExtractVersionFromID added in v0.2.0

func ExtractVersionFromID(id ModelID, rawFamily Family) string

ExtractVersionFromID extracts a numeric version (e.g. "4.5", "4.6", "2.5", "4o") from a model ID after stripping the known family prefix. Returns "" if no version-like token follows the family prefix.

This is the ID-as-authoritative-source companion to ParseFamilyWithVersion. It is called by codegen (genToModelInfo) when ParseFamilyWithVersion on the raw family field yields an empty version — which is the common case because the upstream models.dev API family strings do not embed version numbers ("claude-opus" not "claude-opus-4-5"). The model ID is where the version lives ("claude-opus-4-5-20251101", "claude-opus-4-6").

Algorithm:

  1. Strip "<rawFamily>-" from the start of id. If the ID does not begin with that prefix, return "".
  2. Strip any trailing compact date (YYYYMMDD or YYYY-MM-DD) from the remainder, since those are not version tokens.
  3. From the remaining string, attempt version extraction: a. All-hyphen-separated-digit tokens (e.g. "4-5") → dot-join → "4.5" b. Dot-version suffix (e.g. "2.5") → return directly c. Single alphanumeric-suffix token (e.g. "4o") → return as-is d. Otherwise → return ""

Examples:

ExtractVersionFromID("claude-opus-4-5-20251101", "claude-opus") → "4.5"
ExtractVersionFromID("claude-opus-4-6-20250514", "claude-opus") → "4.6"
ExtractVersionFromID("claude-opus-4-6",          "claude-opus") → "4.6"
ExtractVersionFromID("gemini-2.5-flash",         "gemini")      → "2.5"
ExtractVersionFromID("gpt-4o",                   "gpt")         → "4o"
ExtractVersionFromID("claude-opus",              "claude-opus") → ""
ExtractVersionFromID("claude-3-5-sonnet-20241022","claude")     → ""  (non-version interleaved tokens)

func FamiliesJSONKeyError added in v0.2.2

func FamiliesJSONKeyError(data []byte) error

FamiliesJSONKeyError validates that every non-comment key in the raw families.json-style bytes is a known Family (case-insensitive match against allFamilies). Returns nil when all keys are valid, or an actionable error on the first unrecognised key.

Used by tests to verify the validation contract without modifying the embedded data, and by to validate family_aliases.json target keys.

BDD: Given families.json with a typo key "claud" (should be "claude"), When FamiliesJSONKeyError is called, Then a non-nil error is returned mentioning the bad key.

func FamilyAliasesJSONError added in v0.2.2

func FamilyAliasesJSONError(data []byte) error

FamilyAliasesJSONError validates the canonical-winner ledger bytes (family_aliases.json shape: {"_comment": ..., "aliases": {key: target, ...}}). Each alias TARGET (the canonical family value) must be a known Family (case-insensitive match against allFamilies). Alias KEYS are mislabels and are deliberately NOT validated — they need not be canonical. Returns nil when every target is valid, or an actionable error on the first unknown target.

Reuses familyKeyKnown so the ledger and families.json share one fail-fast validation contract. Used by initParseData (load-time fail-fast) and by tests to verify the contract without mutating embedded data.

BDD: Given a ledger row {"l3": "lluma"} (typo target), When FamilyAliasesJSONError is called, Then a non-nil error naming the bad target is returned.

func FormatAmbiguous

func FormatAmbiguous(w io.Writer, e *ErrAmbiguous)

FormatAmbiguous writes a human-readable two-section disambiguation message for e to w (typically os.Stderr).

Output format:

bestiary: input "<input>" matched multiple canonicals
[no matches in namespace "..." — ... (when PURLMissedNamespace is set)]

* = canonical provider

Canonical:
* <canonical-form>
... (up to 5 rows; "+N more" when >5)

Also rehosted by:           (omitted when RehostProviders is empty)
  <provider-name>           (one per line, up to 5; "+N more" when >5)
  <provider-name>
  ...

To see all providers/variants: bestiary list   (or: bestiary list --provider <slug>)
To resolve an exact model ID:  bestiary show <raw-id> --format=raw

Section 1 (Canonical) shows up to 5 representatives from Candidates where the Provider is the canonical/originating provider for the family. Each row is prefixed with "* " to visually mark the canonical origin.

Section 2 (Also rehosted by) lists up to 5 distinct provider names taken directly from ErrAmbiguous.RehostProviders. The section is omitted entirely when RehostProviders is empty.

The function always returns nil; write errors are silently swallowed because this is advisory stderr output — a write failure should not mask the real ErrAmbiguous that the caller surfaces to the user.

func FormatModel

func FormatModel(w io.Writer, model ModelInfo, format OutputFormat) error

FormatModel writes a single model to w in the specified format.

func FormatModels

func FormatModels(w io.Writer, models []ModelInfo, format OutputFormat) error

FormatModels writes a list of models to w in the specified format.

func IsEnforcedCanonicalFamily added in v0.2.2

func IsEnforcedCanonicalFamily(f Family) bool

IsEnforcedCanonicalFamily reports whether f is in the CLOSED canonical-winner ENFORCE set (parse/data/family_enforce.json) — a curated list of DISTINCT model families that win over a disagreeing raw_family parent/org mislabel (aion, hermes, mixtral, qwq, …). Exposed for the before/after-diff gate (cmd/bestiary-gen): a lateral family change whose AFTER family is in this set is a SANCTIONED ledger correction (the ID-canonical distinct family beat a parent/org mislabel), not a regression — analogous to the "after ∈ registry" signal but for lateral (non-reduction) corrections. The set is curated data, NOT the categorizer's own logic, so this does not rubber-stamp an arbitrary family rewrite.

func IsKnownFamily added in v0.2.2

func IsKnownFamily(f Family) bool

IsKnownFamily reports whether f is a CANONICAL registered family — a value present (case-insensitively) in the generated allFamilies registry (families_gen.go), which is derived directly from the upstream models.dev family field. Synthetic OVER-CAPTURE family strings the ID-path may transiently produce (e.g. "claude-opus", "qwen3-vl-72b", "phi-4-mini") are NOT in that registry. Exposed for the before/after-diff gate, which uses "after ∈ registry ∧ before ∉ registry" as an INDEPENDENT, data-grounded signal that a family change reduced an over-capture to its canonical short base (and so is a genuine fix, not a regression) — the registry is curated upstream data, not the reducer's own logic, so the check does not merely rubber-stamp the implementation.

func ParseDataReady

func ParseDataReady() error

ParseDataReady returns the error (if any) from the one-time initialization of the embedded parse data (JSON files + regex compilation). In a correct build the return value is always nil, because the data files are embedded at compile time and the regexes are validated before any release.

This function is primarily useful for startup self-checks and tests. Production code does not need to call it — ParseFamily degrades gracefully when the load fails (see the fail-closed comment inside ParseFamily).

func ParseFamilyDetailed added in v0.2.0

func ParseFamilyDetailed(raw Family, id ModelID, p Provider) (Family, string, string, []string, *ParseFailure)

ParseFamilyDetailed is the failure-aware companion to ParseFamilyWithVersion. It returns the same three-way decomposition (Family, variant, version) plus an optional *ParseFailure when the parser detects a known incomplete result.

Failure detection covers three modes:

  1. Version digits trapped between family-prefix and variant: "claude-3-5-haiku-20241022" → the 3-5 version digits are not extracted.
  2. Suffix overflow: trailing token beyond expected family/variant/version/date. Sub-cases: ReasonKnownSuffixOverflow (token in modifier allowlist) and ReasonUnknownSuffixOverflow (token not in allowlist — extend allowlist).
  3. YYMM-date-as-version false-positive: a 4-digit numeric segment that looks like a YYMM date (1900–2999 range) but is treated as part of the family/version.

The returned *ParseFailure is an annotation, NOT an error. The function always returns its best-effort family/variant/version values regardless of whether a failure was detected. Callers who need only the parse result can discard the *ParseFailure with _. Callers building an audit log should check failure != nil and accumulate.

Parameters id and p (model ID and provider) are used to populate the failure record fields and are not used in the parse logic itself.

The return order is (family, variant, version, modifier, *ParseFailure). Codegen wiring depends on this exact 5-tuple shape — do NOT reorder.

func ValidateLineageTable added in v0.2.3

func ValidateLineageTable() error

ValidateLineageTable loads the curated lineage table and returns any load/parse/validation error (nil when the table is well-formed). Codegen calls this once and aborts on a non-nil result so bad curation — an unknown parent family, a malformed entry — is caught at generation time rather than silently dropping lineage at runtime.

Types

type AcceptabilityRating

type AcceptabilityRating int

AcceptabilityRating classifies a Designation by its acceptability status, following ISO 1087 terminology principles.

All designations generated in this epoch default to AcceptabilityAdmitted. Promotion to AcceptabilityPreferred and assignment of AcceptabilityDeprecated are deferred to a follow-up curation epoch.

const (
	// AcceptabilityAdmitted is the default rating. The designation is
	// recognized and may be used, but is not the preferred form.
	AcceptabilityAdmitted AcceptabilityRating = iota

	// AcceptabilityPreferred marks the designation as the recommended form.
	// Currently no designations are promoted to Preferred in this epoch.
	AcceptabilityPreferred

	// AcceptabilityDeprecated marks the designation as no longer recommended.
	// Currently no designations are deprecated in this epoch.
	AcceptabilityDeprecated
)

func (AcceptabilityRating) MarshalJSON

func (r AcceptabilityRating) MarshalJSON() ([]byte, error)

MarshalJSON serializes AcceptabilityRating as a JSON string (e.g. "admitted"). This satisfies the bestiary.schema.json $defs/AcceptabilityRating enum contract, which declares the type as a string — not a number.

func (AcceptabilityRating) String

func (r AcceptabilityRating) String() string

String returns a human-readable label for the rating.

func (*AcceptabilityRating) UnmarshalJSON

func (r *AcceptabilityRating) UnmarshalJSON(b []byte) error

UnmarshalJSON deserializes a JSON string into an AcceptabilityRating. Accepted values: "admitted", "preferred", "deprecated" (case-insensitive). Returns an error if the string is not recognized.

type CanonicalFilter

type CanonicalFilter struct {
	Family  Family
	Variant string
	Version string
	Date    string
}

CanonicalFilter selects models by their parsed canonical axes. Empty fields act as wildcards: an empty Family matches any family, an empty Variant matches any variant, an empty Version matches any version, and an empty Date matches any date. This is the parameter type for Store.QueryByCanonical.

type CanonicalScheme

type CanonicalScheme int

CanonicalScheme identifies the string serialization format for a ModelRef. Callers use it to select how a model identity is expressed as a string, e.g. for CLI output, SBOM generation, or HuggingFace Hub lookups.

const (
	// SchemeCanonical is the default slash-separated canonical form:
	//   <provider>/<family>/<variant>@<date>
	// When no variant is present the variant segment is omitted.
	// Provider-specific representations (e.g. anthropic/claude-opus-4-20250514)
	// may be emitted where the canonical triple lacks sufficient granularity.
	SchemeCanonical CanonicalScheme = iota

	// SchemeHuggingFace produces the HuggingFace Hub form:
	//   <provider>/<raw-id>
	// This matches the repo-id used by the HuggingFace Hub API.
	SchemeHuggingFace

	// SchemePURL produces a Package URL (purl-spec + ECMA-427) form:
	//   pkg:huggingface/<provider>/<raw-id>
	SchemePURL

	// SchemeRaw returns the original API model ID verbatim (string(ModelRef.ID)).
	SchemeRaw
)

func ParseScheme

func ParseScheme(s string) (CanonicalScheme, error)

ParseScheme converts a string to a CanonicalScheme. Accepted values: "canonical", "huggingface", "purl", "raw". Returns an error if the string is not a recognized scheme. Used by CLI flag parsing (--scheme flag in cmd/bestiary).

func (CanonicalScheme) MarshalJSON

func (s CanonicalScheme) MarshalJSON() ([]byte, error)

MarshalJSON serializes CanonicalScheme as a JSON string (e.g. "canonical"). This satisfies the bestiary.schema.json $defs/CanonicalScheme enum contract, which declares the type as a string — not a number.

func (CanonicalScheme) String

func (s CanonicalScheme) String() string

String returns a human-readable name for the scheme. Used in debug output and error messages; not a serialized form.

func (*CanonicalScheme) UnmarshalJSON

func (s *CanonicalScheme) UnmarshalJSON(b []byte) error

UnmarshalJSON deserializes a JSON string into a CanonicalScheme. Accepted values: "canonical", "huggingface", "purl", "raw" (case-insensitive). Returns an error if the string is not recognized.

type Capability

type Capability struct {
	Supported bool
	Config    map[string]string // nil when no extra config
}

Capability represents a model capability that may carry additional configuration. For most capabilities, Supported is the only relevant field. For interleaved, Config may hold additional details (e.g., {"field": "reasoning_details"}).

type CapabilityUnion added in v0.2.3

type CapabilityUnion struct {
	Reasoning        bool
	ToolCall         bool
	Attachment       bool
	Temperature      bool
	StructuredOutput bool
	Interleaved      bool
	OpenWeights      bool
}

CapabilityUnion is the aggregate capability view across all instances of an entity: each boolean is the OR over the corresponding per-instance capability (an entity "supports" a capability if ANY instance does). The zero value (all-false) is the identity-safe default for an entity with no instances.

type Client

type Client struct {
	// contains filtered or unexported fields
}

Client fetches model metadata from the models.dev API. Use NewClient to construct a Client with sensible defaults.

func NewClient

func NewClient(opts ...ClientOption) *Client

NewClient creates a Client with the given options applied on top of defaults. Defaults: 30 s timeout, 2 retries, "https://models.dev/api.json".

func (*Client) FetchModels

func (c *Client) FetchModels(ctx context.Context) ([]ModelInfo, error)

FetchModels retrieves all model metadata from the models.dev API. It retries on transient failures (non-2xx responses or network errors) up to c.retries additional times with linear backoff, honouring ctx between attempts.

On final failure it returns *ErrAPIUnavailable so callers can use errors.As to inspect structured fields.

LastSynced on each returned ModelInfo is left empty; the caller must set it when persisting the results.

func (*Client) FetchModelsByProvider

func (c *Client) FetchModelsByProvider(ctx context.Context, p Provider) ([]ModelInfo, error)

FetchModelsByProvider fetches all models and returns only those from the given provider. It is a convenience wrapper around FetchModels.

type ClientOption

type ClientOption func(*Client)

ClientOption is a functional option for configuring a Client.

func WithBaseURL

func WithBaseURL(url string) ClientOption

WithBaseURL overrides the API endpoint. The default is "https://models.dev/api.json".

func WithRetries

func WithRetries(n int) ClientOption

WithRetries sets the number of retry attempts after an initial failure. For example, WithRetries(2) means up to 3 total attempts. The default is 2 retries.

func WithTimeout

func WithTimeout(d time.Duration) ClientOption

WithTimeout sets the HTTP request timeout. The default is 30 seconds.

type DerivationKind added in v0.2.3

type DerivationKind int

DerivationKind classifies HOW a model was derived from one or more parent models — the edge label on a lineage relationship (see LineageEdge). It is a closed enum: the set of derivation techniques is small and well-understood, so (unlike Host/Provider) a strongly-typed int enum is the right fit.

The zero value is DerivationNone (no derivation / a base model).

const (
	// DerivationNone is the zero value: no derivation relationship (a base model).
	DerivationNone DerivationKind = iota
	// DerivationFinetune: parameters further trained on additional data
	// (e.g. dracarys finetuned from llama).
	DerivationFinetune
	// DerivationMerge: weights combined from two or more parent models. A merge
	// edge set carries >= 2 parents.
	DerivationMerge
	// DerivationDistillation: a smaller/student model trained to mimic a larger
	// teacher model.
	DerivationDistillation
	// DerivationQuantized: a lower-precision copy of a parent model.
	DerivationQuantized
	// DerivationAdapter: a parameter-efficient adapter (e.g. LoRA) applied over
	// a base model.
	DerivationAdapter
)

func (DerivationKind) MarshalText added in v0.2.3

func (k DerivationKind) MarshalText() ([]byte, error)

MarshalText implements encoding.TextMarshaler, emitting the canonical wire name (so DerivationKind serializes as a JSON string, not an integer). An out-of-range value is a programming error and yields an actionable error.

func (DerivationKind) String added in v0.2.3

func (k DerivationKind) String() string

String returns the lowercase wire name of the derivation kind. An out-of-range value renders as "derivationkind(<n>)" so logs never silently drop an unexpected value.

func (*DerivationKind) UnmarshalText added in v0.2.3

func (k *DerivationKind) UnmarshalText(text []byte) error

UnmarshalText implements encoding.TextUnmarshaler, parsing a canonical wire name back into a DerivationKind. Parsing is case-sensitive against the wire names produced by MarshalText, guaranteeing a lossless round-trip. An unrecognized token yields an actionable error listing the valid values.

type Designation

type Designation struct {
	// Value is the serialized model identifier under Scheme.
	Value string

	// Scheme is the serialization scheme used to produce Value.
	Scheme CanonicalScheme

	// Provider is the hosting provider associated with this designation.
	// For cross-scheme designations (e.g. SchemeRaw) the Provider is the
	// original model's hosting provider.
	Provider Provider

	// Rating classifies acceptability. All epoch-generated designations are
	// AcceptabilityAdmitted; promotion is deferred.
	Rating AcceptabilityRating
}

Designation pairs a model identity string with its serialization scheme, hosting provider, and acceptability rating.

A single ModelRef may have multiple Designations: a canonical form, a raw API ID form, and optionally provider-specific alias forms. Each carries an AcceptabilityRating. In this epoch all generated designations default to AcceptabilityAdmitted.

type Entity added in v0.2.3

type Entity struct {
	Ref              EntityRef
	Instances        []ProviderInstance
	Lineage          []LineageEdge
	Providers        []Provider
	Hosts            []Host
	PriceInputRange  [2]*float64
	PriceOutputRange [2]*float64
	ContextRange     [2]int
	MaxOutputRange   [2]int
	Capabilities     CapabilityUnion
}

Entity is a model identity (Ref) together with every provider/host instance that serves it and the aggregate views derived from those instances. It is the unit returned by Entities() / EntityByTuple().

Range fields summarize the instances:

  • PriceInputRange / PriceOutputRange: [min,max] over the NON-nil instance costs only; when every instance cost is nil the range is {nil,nil} (no nil-deref, no spurious zero). Indices: [0]=min, [1]=max.
  • ContextRange / MaxOutputRange: [min,max] over instance context/max-output.

func Entities added in v0.2.3

func Entities() []Entity

Entities returns every model entity in the static registry, each with its instances and aggregate views populated. The slice is ordered deterministically by first-seen entity key.

The result is a DEFENSIVE DEEP COPY: every returned Entity (and all of its slices and price pointers) is independent of the memoized registry index and of every other returned Entity. Mutating a returned value can never corrupt the registry or alias another entity.

func EntityByTuple added in v0.2.3

func EntityByTuple(family Family, variant, version string, identityModifiers ...string) (Entity, bool)

EntityByTuple looks up a single entity by its identity tuple: family, variant, version, and any identity-class modifiers. The bool reports whether a matching entity exists. Lookup is by EntityRef.String() equality, so the modifier arguments are order-independent.

The supplied modifiers are passed through EntityModifiers(_, family), the same identity-class projection used to build the index keys: attribute-class tokens are dropped and the remainder canonicalized, so a caller need not pre-filter. The returned Entity is a defensive deep copy (see Entities).

func (Entity) Ancestors added in v0.2.3

func (e Entity) Ancestors() []EntityRef

Ancestors returns the transitive set of parent EntityRefs reachable from this entity's lineage, via a cycle-safe depth-first traversal of the curated derivation DAG. The first hop comes from the entity's own Lineage edges (as populated at codegen); deeper hops follow the curated forward index. When the entity carries no edges directly, the curated index keyed by its Ref is used as the seed so a hand-constructed Entity still resolves. A cycle never loops.

func (Entity) Descendants added in v0.2.3

func (e Entity) Descendants() []EntityRef

Descendants returns the transitive set of child EntityRefs derived (directly or indirectly) from this entity, via a cycle-safe depth-first traversal of the curated derivation DAG's reverse edges.

type EntityRef added in v0.2.3

type EntityRef struct {
	Family   Family
	Variant  string
	Version  string
	Modifier []string // identity-class modifiers only, canonical order
}

EntityRef is the canonical IDENTITY of a model entity — the tuple that determines whether two provider/host instances are "the same model". It is the comparable map key for entity grouping (via EntityRef.String) and doubles as the parent reference in a lineage edge (see LineageEdge).

Identity is (Family, Variant, Version) PLUS the identity-class modifiers in Modifier. Crucially:

  • Version is the IDENTITY version (e.g. "4.5"), NOT a release date. EntityRef deliberately has NO Date field: a date is a per-release attribute, not part of identity. Do not conflate EntityRef's "@version" with formatCanonical's "@date".
  • Modifier holds ONLY identity-class modifiers (see EntityModifiers / ClassifyModifier). Attribute-class modifiers and per-instance attributes (host, price, quant, …) are NEVER part of EntityRef and NEVER appear in the key string.

Because Modifier is a slice, an EntityRef value is not itself comparable and cannot be used directly as a map key; use EntityRef.String() as the key.

func (EntityRef) String added in v0.2.3

func (r EntityRef) String() string

String returns the canonical comparable key for this entity:

family[/variant][@version]{identity-mods}

Rules:

  • "/variant" is appended only when Variant is non-empty.
  • "@version" is appended only when Version is non-empty (this is the IDENTITY version, never a date).
  • "{identity-mods}" is appended only when at least one identity modifier is present; the tokens are de-duplicated and rendered in canonical order (CanonicalizeModifiers), comma-separated. The braces are OMITTED entirely when there are no identity modifiers.
  • The "[attributes]" segment is NEVER part of this key (attributes do not affect identity).

Two EntityRefs whose Modifier slices are permutations of the same identity-mod set produce the IDENTICAL key.

type ErrAPIUnavailable

type ErrAPIUnavailable struct {
	// URL is the endpoint that was contacted.
	URL string
	// Attempts is how many times the request was tried before giving up.
	Attempts int
	// Cause is the last error returned by the HTTP client.
	Cause error
}

ErrAPIUnavailable is returned when the models.dev API cannot be reached after one or more attempts. Cause holds the underlying network or HTTP error.

Use errors.As to extract structured fields; use Unwrap to inspect the root cause via errors.Is.

func (*ErrAPIUnavailable) Error

func (e *ErrAPIUnavailable) Error() string

Error implements the error interface. Format: "bestiary: API unavailable after <n> attempt(s) at <url>: <cause>"

func (*ErrAPIUnavailable) Unwrap

func (e *ErrAPIUnavailable) Unwrap() error

Unwrap returns the underlying cause so that errors.Is and errors.As can traverse the error chain.

type ErrAmbiguous

type ErrAmbiguous struct {
	// Input is the raw string passed to Resolve.
	Input string
	// Scheme is the CanonicalScheme that was active during resolution.
	Scheme CanonicalScheme
	// Candidates lists all matching ModelRefs, grouped by distinct Canonical.
	Candidates []ModelRef
	// PURLMissedNamespace is set when the PURL namespace (provider segment) had
	// zero matches and a loose-match fallback was performed. The value is the
	// namespace string that missed (e.g. "totally-unknown-ns").
	// Empty when no PURL namespace miss occurred.
	PURLMissedNamespace string
	// RehostProviders is the deduplicated list of providers (in stable first-seen
	// order) that host at least one of the matching models but are NOT the
	// canonical/originating provider for the family. Populated at both ErrAmbiguous
	// construction sites in resolve.go (multi-group case and PURL loose-fallback
	// case). Empty when no rehost providers exist in the match set.
	RehostProviders []Provider
}

ErrAmbiguous is returned by Resolve when the input string matches models with two or more distinct Canonical identities (e.g., "claude" matches claude/opus, claude/sonnet, and claude/haiku simultaneously).

It is distinct from cross-provider hosting: if multiple providers host the same Canonical, Resolve returns []ModelRef with err == nil.

What: the raw input string that triggered the ambiguity. Scheme: the CanonicalScheme used during resolution. Candidates: the list of ModelRefs that matched, one per distinct Canonical. PURLMissedNamespace: when non-empty, identifies the PURL namespace (provider) that had zero matches, triggering a loose-match fallback. (Fix #1)

Use errors.As to extract structured fields. The Error() message names all 6 actionable-error elements per [C-actionable-errors]:

  1. What went wrong (ambiguous input),
  2. Why it happened (multiple distinct canonicals matched),
  3. Where it failed (Resolve),
  4. When it failed (during model lookup / resolution step),
  5. What it means for the caller (the query cannot be resolved unambiguously),
  6. How to fix it (refine input or use --format=raw).

func (*ErrAmbiguous) Error

func (e *ErrAmbiguous) Error() string

Error implements the error interface with an actionable message. All 6 elements from the [C-actionable-errors] constraint are present: What, Why, Where, When, What it means for the caller, and How to fix.

type ErrNotFound

type ErrNotFound struct {
	// What describes the resource kind that was not found (e.g., "model").
	What string
	// Key is the identifier that was searched for (e.g., model ID).
	Key string
}

ErrNotFound is returned when a requested resource cannot be located in the local store or remote API.

What identifies the resource kind (e.g., "model"), and Key is the lookup value that was not found. Use errors.As to extract structured fields.

ErrNotFound has no Unwrap method by design: it is a sentinel-style error with no wrapped cause. Use errors.As to match.

func (*ErrNotFound) Error

func (e *ErrNotFound) Error() string

Error implements the error interface. Format: "bestiary: <what> not found: <key>"

type Family

type Family string

Family identifies the model family from the models.dev API. It is a named string type for type safety, following the same pattern as Provider.

const (
	FamilyHy                Family = "Hy"
	FamilyAllam             Family = "allam"
	FamilyAllenai           Family = "allenai"
	FamilyAlpha             Family = "alpha"
	FamilyAura              Family = "aura"
	FamilyAuto              Family = "auto"
	FamilyBaichuan          Family = "baichuan"
	FamilyBart              Family = "bart"
	FamilyBge               Family = "bge"
	FamilyBigPickle         Family = "big-pickle"
	FamilyCanopylabs        Family = "canopylabs"
	FamilyChutesai          Family = "chutesai"
	FamilyClaude            Family = "claude"
	FamilyClaudeHaiku       Family = "claude-haiku"
	FamilyClaudeOpus        Family = "claude-opus"
	FamilyClaudeSonnet      Family = "claude-sonnet"
	FamilyCodestral         Family = "codestral"
	FamilyCodestralEmbed    Family = "codestral-embed"
	FamilyCogito            Family = "cogito"
	FamilyCohereEmbed       Family = "cohere-embed"
	FamilyCommand           Family = "command"
	FamilyCommandA          Family = "command-a"
	FamilyCommandR          Family = "command-r"
	FamilyDallE             Family = "dall-e"
	FamilyDeepSeek          Family = "deepseek"
	FamilyDeepSeekFlash     Family = "deepseek-flash"
	FamilyDeepSeekFlashFree Family = "deepseek-flash-free"
	FamilyDeepSeekThinking  Family = "deepseek-thinking"
	FamilyDevstral          Family = "devstral"
	FamilyDistilbert        Family = "distilbert"
	FamilyElevenlabs        Family = "elevenlabs"
	FamilyErnie             Family = "ernie"
	FamilyFlux              Family = "flux"
	FamilyGemini            Family = "gemini"
	FamilyGeminiEmbedding   Family = "gemini-embedding"
	FamilyGeminiFlash       Family = "gemini-flash"
	FamilyGeminiFlashLite   Family = "gemini-flash-lite"
	FamilyGeminiPro         Family = "gemini-pro"
	FamilyGemma             Family = "gemma"
	FamilyGLM               Family = "glm"
	FamilyGLMAir            Family = "glm-air"
	FamilyGLMFlash          Family = "glm-flash"
	FamilyGLMFree           Family = "glm-free"
	FamilyGLMZ              Family = "glm-z"
	FamilyGlmv              Family = "glmv"
	FamilyGPT               Family = "gpt"
	FamilyGPTCodex          Family = "gpt-codex"
	FamilyGPTCodexMini      Family = "gpt-codex-mini"
	FamilyGPTCodexSpark     Family = "gpt-codex-spark"
	FamilyGPTImage          Family = "gpt-image"
	FamilyGPTMini           Family = "gpt-mini"
	FamilyGPTNano           Family = "gpt-nano"
	FamilyGPTOss            Family = "gpt-oss"
	FamilyGPTPro            Family = "gpt-pro"
	FamilyGranite           Family = "granite"
	FamilyGrok              Family = "grok"
	FamilyGrokBuild         Family = "grok-build"
	FamilyGroq              Family = "groq"
	FamilyHermes            Family = "hermes"
	FamilyHunyuan           Family = "hunyuan"
	FamilyHy3Free           Family = "hy3-free"
	FamilyIdeogram          Family = "ideogram"
	FamilyImagen            Family = "imagen"
	FamilyIndictrans        Family = "indictrans"
	FamilyIntellect         Family = "intellect"
	FamilyJais              Family = "jais"
	FamilyJamba             Family = "jamba"
	FamilyKatCoder          Family = "kat-coder"
	FamilyKimi              Family = "kimi"
	FamilyKimiFree          Family = "kimi-free"
	FamilyKimiK25           Family = "kimi-k2.5"
	FamilyKimiK26           Family = "kimi-k2.6"
	FamilyKimiThinking      Family = "kimi-thinking"
	FamilyLing              Family = "ling"
	FamilyLingFlashFree     Family = "ling-flash-free"
	FamilyLiquid            Family = "liquid"
	FamilyLlama             Family = "llama"
	FamilyLongcat           Family = "longcat"
	FamilyLucid             Family = "lucid"
	FamilyLyria             Family = "lyria"
	FamilyM2m               Family = "m2m"
	FamilyMagistral         Family = "magistral"
	FamilyMagistralMedium   Family = "magistral-medium"
	FamilyMagistralSmall    Family = "magistral-small"
	FamilyMai               Family = "mai"
	FamilyMelotts           Family = "melotts"
	FamilyMercury           Family = "mercury"
	FamilyMimo              Family = "mimo"
	FamilyMimoFlashFree     Family = "mimo-flash-free"
	FamilyMimoOmniFree      Family = "mimo-omni-free"
	FamilyMimoProFree       Family = "mimo-pro-free"
	FamilyMimoV2Omni        Family = "mimo-v2-omni"
	FamilyMimoV2Pro         Family = "mimo-v2-pro"
	FamilyMimoV25           Family = "mimo-v2.5"
	FamilyMimoV25Free       Family = "mimo-v2.5-free"
	FamilyMimoV25Pro        Family = "mimo-v2.5-pro"
	FamilyMiniMax           Family = "minimax"
	FamilyMiniMaxFree       Family = "minimax-free"
	FamilyMiniMaxM25        Family = "minimax-m2.5"
	FamilyMiniMaxM27        Family = "minimax-m2.7"
	FamilyMinistral         Family = "ministral"
	FamilyMistral           Family = "mistral"
	FamilyMistralEmbed      Family = "mistral-embed"
	FamilyMistralLarge      Family = "mistral-large"
	FamilyMistralMedium     Family = "mistral-medium"
	FamilyMistralNemo       Family = "mistral-nemo"
	FamilyMistralSmall      Family = "mistral-small"
	FamilyMixtral           Family = "mixtral"
	FamilyMmPoly            Family = "mm-poly"
	FamilyModelRouter       Family = "model-router"
	FamilyMorph             Family = "morph"
	FamilyNanoBanana        Family = "nano-banana"
	FamilyNemotron          Family = "nemotron"
	FamilyNemotronFree      Family = "nemotron-free"
	FamilyNousresearch      Family = "nousresearch"
	FamilyNova              Family = "nova"
	FamilyNovaLite          Family = "nova-lite"
	FamilyNovaMicro         Family = "nova-micro"
	FamilyNovaPro           Family = "nova-pro"
	FamilyO                 Family = "o"
	FamilyOMini             Family = "o-mini"
	FamilyOPro              Family = "o-pro"
	FamilyOsmosis           Family = "osmosis"
	FamilyPalmyra           Family = "palmyra"
	FamilyPangu             Family = "pangu"
	FamilyPhi               Family = "phi"
	FamilyPixtral           Family = "pixtral"
	FamilyPlamo             Family = "plamo"
	FamilyQvq               Family = "qvq"
	FamilyQwen              Family = "qwen"
	FamilyQwenFree          Family = "qwen-free"
	FamilyQwen35            Family = "qwen3.5"
	FamilyQwen36            Family = "qwen3.6"
	FamilyQwen37Max         Family = "qwen3.7-max"
	FamilyQwerky            Family = "qwerky"
	FamilyRay               Family = "ray"
	FamilyRecraft           Family = "recraft"
	FamilyRednote           Family = "rednote"
	FamilyReka              Family = "reka"
	FamilyRing              Family = "ring"
	FamilyRing1TFree        Family = "ring-1t-free"
	FamilyRnj               Family = "rnj"
	FamilyRunway            Family = "runway"
	FamilySarvam            Family = "sarvam"
	FamilySeed              Family = "seed"
	FamilySmartTurn         Family = "smart-turn"
	FamilySolarMini         Family = "solar-mini"
	FamilySolarPro          Family = "solar-pro"
	FamilySonar             Family = "sonar"
	FamilySonarDeepResearch Family = "sonar-deep-research"
	FamilySonarPro          Family = "sonar-pro"
	FamilySonarReasoning    Family = "sonar-reasoning"
	FamilySora              Family = "sora"
	FamilyStableDiffusion   Family = "stable-diffusion"
	FamilyStep              Family = "step"
	FamilyTako              Family = "tako"
	FamilyTextEmbedding     Family = "text-embedding"
	FamilyTitanEmbed        Family = "titan-embed"
	FamilyTngtech           Family = "tngtech"
	FamilyTopazlabs         Family = "topazlabs"
	FamilyTrinity           Family = "trinity"
	FamilyTrinityMini       Family = "trinity-mini"
	FamilyUnsloth           Family = "unsloth"
	FamilyV0                Family = "v0"
	FamilyVenice            Family = "venice"
	FamilyVeo               Family = "veo"
	FamilyVoxtral           Family = "voxtral"
	FamilyVoyage            Family = "voyage"
	FamilyWhisper           Family = "whisper"
	FamilyYi                Family = "yi"
)
const (
	FamilyMythologic Family = "mythologic"
	FamilyHuginn     Family = "huginn"
)

FamilyMythologic and FamilyHuginn are the two parent base families of the MythoMax-L2-13B merge. MythoMax is a weight merge of MythoLogic-L2 and Huginn, so the merge edge carries these as STANDALONE parent families (not as llama-variants): the parents are distinct artifacts in their own right, and a merge by definition combines >= 2 separate parents. Neither is emitted by the API as a base family value, so both are registered here so lineage parent-validation recognizes them.

const FamilySolar Family = "solar"

FamilySolar is the curated base family for Upstage's SOLAR models. The models.dev API never emits a bare "solar" family value — only the variant-qualified solar-mini / solar-pro reach allFamilies (families_gen.go) — yet the base family is needed as a valid lineage derivation PARENT (a SOLAR finetune names "solar" as its base). It is registered here as a hand-curated supplement to the generated set; see curatedBaseFamilies.

func Families

func Families() []Family

Families returns all known Family values as a defensive copy.

func InferFamilyFromID

func InferFamilyFromID(id ModelID, p Provider) Family

InferFamilyFromID is the empty-family fallback for models whose API family field is empty (~25% of models). It uses the model ID as a heuristic signal.

Algorithm:

  1. Split id on "-".
  2. Consume trailing tokens that are purely version-like (all digits, or match a version pattern) — these are noise, not signal.
  3. Take the first remaining token as the inferred family.
  4. Return "" when no alphabetic-leading token is found.

The provider parameter is reserved for future provider-specific heuristics and is not currently used.

func InferFamilyFromIDWithVariant added in v0.2.0

func InferFamilyFromIDWithVariant(id ModelID, p Provider) (Family, string, string)

InferFamilyFromIDWithVariant is the extended empty-family fallback for models whose API family field is empty (~25% of models). Unlike InferFamilyFromID, it extracts (Family, Variant, Version) by:

  1. Attempting the Δ2′ modifier-strip path: tentatively strip a trailing modifier to expose a hidden date, then decompose and apply two commit guards.
  2. Existing flow: strip trailing date, feed ID to ParseFamilyWithVersion, then fall back to first-token-only if no decomposition found.

This ensures (Family, Variant, Version) is consistent across providers regardless of whether raw_family is empty or populated.

Examples:

InferFamilyFromIDWithVariant("claude-opus-4-5-20251101", "nano-gpt") → ("claude", "opus", "4.5")
InferFamilyFromIDWithVariant("claude-opus-4-6", "some-provider")    → ("claude", "opus", "4.6")
InferFamilyFromIDWithVariant("gpt-4o", "openai")                    → ("gpt", "", "4o")
InferFamilyFromIDWithVariant("claude-opus-4-1-20250805-thinking", "302ai") → ("claude", "opus", "4.1")

The provider parameter is reserved for future provider-specific heuristics and is not currently used.

this is a thin wrapper that applies the letter-prefix series split to the inner inference result, so the empty-raw primitive is SELF-CONSISTENT with the canonical ParseFamilyDetailed path (kimi-k2 → (kimi,k,2), minimax-m1 → (minimax,m,1), and the compound-family recovery kimi-k2-0905 → kimi).

func ParseFamily

func ParseFamily(raw Family) (Family, string)

ParseFamily takes a raw API family value and returns (Family, variant).

Resolution order (first match wins):

  1. family_overrides table — explicit (raw → Family, variant) mappings.
  2. Versioned-variant patterns — v/k/m/no-prefix and hyphen-separated versions. For hyphen-version matches, the non-numeric prefix is itself resolved via overrides.
  3. Suffix-stripping table — strip the longest matching suffix to identify variant.
  4. Fallback — return (raw, "") unchanged.

ParseFamily is deterministic: the same input always produces the same output. Empty raw returns ("", "").

func ParseFamilyWithVersion added in v0.2.0

func ParseFamilyWithVersion(raw Family) (Family, string, string)

ParseFamilyWithVersion takes a raw API family value and returns (Family, variant, version) — a three-way decomposition that separates the semantic model version (e.g. "4.5") from the variant (e.g. "opus").

This is an additive companion to ParseFamily. For inputs that ParseFamily already handles correctly (overrides, v/k/m/no-prefix patterns, suffix stripping), the family and variant return values are identical to ParseFamily. The new third return value extracts the numeric version component when the raw family string embeds one via the hyphen-version pattern or a dot-version tail (e.g. "gemini-2.5-flash").

Resolution order (first match wins):

  1. family_overrides table — no version for override entries.
  2. hyphen-version pattern — converts hyphenated digits to dot notation: "claude-opus-4-5" → (claude, opus, 4.5); "llama-3-1" → (llama, "", 3.1).
  3. Other versioned patterns (v/k/m/no-prefix) — version stays in variant, version="".
  4. Suffix stripping + dot-version detection: "gemini-2.5-flash" → suffix strip yields base="gemini-2.5"; detect "-N.M" tail → (gemini, flash, 2.5).
  5. Dot-version fallback: "gemini-2.5" → (gemini, "", 2.5).
  6. Pure fallback — same as ParseFamily, version="".

ParseFamilyWithVersion is deterministic. Empty raw returns ("", "", "").

func (Family) CanonicalProvider added in v0.2.0

func (f Family) CanonicalProvider() Provider

CanonicalProvider returns the originating/canonical provider for this Family.

When the family is a well-known model family with a clear original publisher, the canonical provider is returned. When the family has no canonical mapping (community models, multi-org models, or unmapped families), the empty Provider is returned. Resolve falls back to ErrAmbiguous in that case.

The mapping is a static switch populated at source time. Unknown families use the empty string sentinel rather than a wrong-but-plausible guess.

TODO: review and fill in additional canonical-provider mappings beyond the initial well-known set.

func (Family) IsKnown

func (f Family) IsKnown() bool

IsKnown reports whether f is a recognized Family. The known set is generated from the models.dev API at codegen time (allFamilies, families_gen.go) plus the hand-curated curatedBaseFamilies supplement (base families the API omits but that lineage / canonical references depend on, e.g. "solar").

func (Family) MarshalText

func (f Family) MarshalText() ([]byte, error)

MarshalText implements encoding.TextMarshaler. It is permissive: any Family value (known or unknown) can be marshaled.

func (Family) String

func (f Family) String() string

String returns the string representation of the family.

func (*Family) UnmarshalText

func (f *Family) UnmarshalText(b []byte) error

UnmarshalText implements encoding.TextUnmarshaler. It is permissive: any byte slice is accepted; use IsKnown() to validate.

type Harness

type Harness string

Harness identifies the coding tool or AI-assisted development environment that is driving the model interaction.

const (
	HarnessClaudeCode  Harness = "claude-code"
	HarnessGeminiCLI   Harness = "gemini-cli"
	HarnessCodex       Harness = "codex"
	HarnessOpenCode    Harness = "opencode"
	HarnessCursor      Harness = "cursor"
	HarnessAntigravity Harness = "antigravity"
)

func Harnesses

func Harnesses() []Harness

Harnesses returns all known Harness values. The returned slice is a defensive copy — modifying it does not affect the package state.

func (Harness) IsKnown

func (h Harness) IsKnown() bool

IsKnown reports whether h is one of the six declared Harness constants.

func (Harness) MarshalText

func (h Harness) MarshalText() ([]byte, error)

MarshalText implements encoding.TextMarshaler.

func (Harness) String

func (h Harness) String() string

String returns the string representation of the harness.

func (*Harness) UnmarshalText

func (h *Harness) UnmarshalText(b []byte) error

UnmarshalText implements encoding.TextUnmarshaler. It accepts any string value; use IsKnown() to validate.

type Host added in v0.2.3

type Host string

Host identifies the serving host / backend infrastructure that actually runs a model instance, as distinct from the Provider (the organization that offers or sells access to it). The same logical model+provider may be served from different backends (e.g. an OpenAI model served via Azure), and the same host may back many providers. Host is therefore a per-instance ATTRIBUTE: it never participates in entity identity (see EntityRef) and is rendered in the "[attributes]" segment of a canonical string, never in the "{identity-mods}" key segment.

Host is a string type (not a closed int enum) for the same reason Provider is: the set of serving backends is open and grows over time. Well-known hosts have named constants for type-safe call sites; unrecognized hosts are still representable verbatim. The curated host table (parse/data/hosts.json) that populates ModelInfo.Host from the raw API data is owned by a later slice; this slice only fixes the type contract and a seed set of constants.

const (
	// HostNone is the zero value: the serving host is unknown or unspecified.
	// A genuine "no distinct host" record (e.g. a provider serving its own
	// model directly) is also represented as HostNone.
	HostNone Host = ""
	// HostAzure is Microsoft Azure (e.g. Azure OpenAI / Azure AI Foundry).
	HostAzure Host = "azure"
	// HostAWS is Amazon Web Services (e.g. Bedrock / SageMaker).
	HostAWS Host = "aws"
	// HostGCP is Google Cloud Platform (e.g. Vertex AI).
	HostGCP Host = "gcp"
	// HostCloudflare is Cloudflare (e.g. Workers AI).
	HostCloudflare Host = "cloudflare"
)

func (Host) IsKnown added in v0.2.3

func (h Host) IsKnown() bool

IsKnown reports whether h is one of the named Host constants (excluding HostNone). Unrecognized non-empty hosts return false but remain valid Host values — callers that need to accept any backend should not gate on IsKnown.

type InputFormat added in v0.2.0

type InputFormat string

InputFormat specifies the input scheme for parsing a model identity string in the bestiary show command.

The default is InputFormatPeasant (bestiary canonical form). Other formats must be explicitly selected via --format on the CLI.

const (
	// InputFormatPeasant is the bestiary canonical form:
	//   [<provider>/]<family>[/<variant>[/<version>]][@<date>]
	// This is the default input format.
	InputFormatPeasant InputFormat = "peasant"

	// InputFormatHuggingFace is the HuggingFace Hub form:
	//   <provider>/<raw-model-id>
	InputFormatHuggingFace InputFormat = "huggingface"

	// InputFormatPURL is the Package URL (PURL) form:
	//   pkg:huggingface/<provider>/<raw-model-id>
	InputFormatPURL InputFormat = "purl"

	// InputFormatRaw is the raw API model ID (exact match):
	//   <raw-model-id>
	InputFormatRaw InputFormat = "raw"
)

func ParseInputFormat added in v0.2.0

func ParseInputFormat(s string) (InputFormat, error)

ParseInputFormat converts a --format flag string to an InputFormat. Accepted values: "peasant", "huggingface", "hf", "purl", "raw" (case-insensitive). Returns an error if the string is not a recognized input format. Used by CLI flag parsing (--format flag in cmd/bestiary show).

type LineageEdge added in v0.2.3

type LineageEdge struct {
	Parent EntityRef
	Kind   DerivationKind
}

LineageEdge is one directed derivation relationship: this model was derived from Parent via technique Kind. A model with multiple parents (e.g. a MERGE) carries multiple LineageEdges; Parent is a full EntityRef so a parent can be resolved to its own entity (and its own ancestors) for DAG traversal.

func LineageFor added in v0.2.3

func LineageFor(id ModelID) []LineageEdge

LineageFor returns the curated parent derivation edges for the model identified by id, or nil when no lineage is curated for it. It is the population entry point used by codegen to bake ModelInfo.Lineage, and a convenience over LineageRecordFor when the provenance flags are not needed.

type LineageRecord added in v0.2.3

type LineageRecord struct {
	Child EntityRef
	Edges []LineageEdge
	Real  bool
}

LineageRecord is the curated lineage of a single model: the set of parent derivation edges plus the provenance flags that describe how the record was sourced. It is returned by LineageRecordFor.

  • Child is the child model's identity as a node in the derivation DAG (used by Ancestors / Descendants traversal).
  • Edges holds one LineageEdge per parent. A MERGE carries >= 2 edges.
  • Real reports whether the child model exists in the models.dev catalog (an attested record). When false the entry is a SYNTHETIC / catalog-absent fixture: the child itself is not in the catalog (only its parents are), and the edge is curated-only. The flag exists so consumers never mistake a synthetic fixture for an attested catalog lineage.

func LineageRecordFor added in v0.2.3

func LineageRecordFor(id ModelID) (LineageRecord, bool)

LineageRecordFor returns the curated LineageRecord for the model identified by id, and whether one exists. Matching is by the curated child key (the lowercase model ID or its post-'/' segment), so it resolves both bare and namespaced ID forms — and SYNTHETIC / catalog-absent children too (their Real field is false).

type Modalities

type Modalities struct {
	Input  []Modality
	Output []Modality
}

Modalities groups the input and output modalities supported by a model.

type Modality

type Modality int

Modality represents a type of input or output an AI model can process.

const (
	ModalityText  Modality = iota // "text"
	ModalityImage                 // "image"
	ModalityPDF                   // "pdf"
	ModalityAudio                 // "audio"
	ModalityVideo                 // "video"
)

func (Modality) MarshalText

func (m Modality) MarshalText() ([]byte, error)

MarshalText implements encoding.TextMarshaler.

func (Modality) String

func (m Modality) String() string

String returns the human-readable name of the modality. For out-of-range values it returns "Modality(<n>)" rather than panicking.

func (*Modality) UnmarshalText

func (m *Modality) UnmarshalText(b []byte) error

UnmarshalText implements encoding.TextUnmarshaler.

type ModelID

type ModelID string

ModelID is the canonical identifier for an AI model (e.g., "claude-3-5-sonnet-20241022").

const (
	Model__302AI__ChatGPT__4o__Latest                                                        ModelID = "chatgpt-4o-latest"
	Model__302AI__Claude__3__5__Haiku__3_5__20241022                                         ModelID = "claude-3-5-haiku-20241022"
	Model__302AI__Claude__3__5__Haiku__3_5__Latest                                           ModelID = "claude-3-5-haiku-latest"
	Model__302AI__Claude__Haiku__4_5                                                         ModelID = "claude-haiku-4-5"
	Model__302AI__Claude__Haiku__4_5__20251001                                               ModelID = "claude-haiku-4-5-20251001"
	Model__302AI__Claude__Opus__4_1__20250805                                                ModelID = "claude-opus-4-1-20250805"
	Model__302AI__Claude__Opus__4_1__Thinking__20250805                                      ModelID = "claude-opus-4-1-20250805-thinking"
	Model__302AI__Claude__Opus__4_5                                                          ModelID = "claude-opus-4-5"
	Model__302AI__Claude__Opus__4_5__20251101                                                ModelID = "claude-opus-4-5-20251101"
	Model__302AI__Claude__Opus__4_5__Thinking__20251101                                      ModelID = "claude-opus-4-5-20251101-thinking"
	Model__302AI__Claude__Opus__4_6                                                          ModelID = "claude-opus-4-6"
	Model__302AI__Claude__Opus__4_6__Thinking                                                ModelID = "claude-opus-4-6-thinking"
	Model__302AI__Claude__Opus__4_7                                                          ModelID = "claude-opus-4-7"
	Model__302AI__Claude__Opus__4__20250514                                                  ModelID = "claude-opus-4-20250514"
	Model__302AI__Claude__Sonnet__4_5                                                        ModelID = "claude-sonnet-4-5"
	Model__302AI__Claude__Sonnet__4_5__20250929                                              ModelID = "claude-sonnet-4-5-20250929"
	Model__302AI__Claude__Sonnet__4_5__Thinking__20250929                                    ModelID = "claude-sonnet-4-5-20250929-thinking"
	Model__302AI__Claude__Sonnet__4_6                                                        ModelID = "claude-sonnet-4-6"
	Model__302AI__Claude__Sonnet__4_6__Thinking                                              ModelID = "claude-sonnet-4-6-thinking"
	Model__302AI__Claude__Sonnet__4__20250514                                                ModelID = "claude-sonnet-4-20250514"
	Model__302AI__DeepSeek__Chat                                                             ModelID = "deepseek-chat"
	Model__302AI__DeepSeek__Reasoner__Thinking                                               ModelID = "deepseek-reasoner"
	Model__302AI__DeepSeek__V3__2                                                            ModelID = "deepseek-v3.2"
	Model__302AI__DeepSeek__V3__2__Thinking                                                  ModelID = "deepseek-v3.2-thinking"
	Model__302AI__Doubao__Seed__1__6__Thinking__250715__1_6__Thinking                        ModelID = "doubao-seed-1-6-thinking-250715"
	Model__302AI__Doubao__Seed__1__6__Vision__250815__1_6__Vision                            ModelID = "doubao-seed-1-6-vision-250815"
	Model__302AI__Doubao__Seed__1__8__251215__1_8                                            ModelID = "doubao-seed-1-8-251215"
	Model__302AI__Doubao__Seed__Code__Preview__251028__PreviewCode                           ModelID = "doubao-seed-code-preview-251028"
	Model__302AI__GLM__4_5                                                                   ModelID = "glm-4.5"
	Model__302AI__GLM__4_6                                                                   ModelID = "glm-4.6"
	Model__302AI__GLM__4_7                                                                   ModelID = "glm-4.7"
	Model__302AI__GLM__4__5__Air__4_5                                                        ModelID = "glm-4.5-air"
	Model__302AI__GLM__4__5__Airx__4_5                                                       ModelID = "glm-4.5-airx"
	Model__302AI__GLM__4__5__X__4_5                                                          ModelID = "glm-4.5-x"
	Model__302AI__GLM__4__5v__4_5                                                            ModelID = "glm-4.5v"
	Model__302AI__GLM__4__6v__4_6                                                            ModelID = "glm-4.6v"
	Model__302AI__GLM__4__7__Flashx__4_7                                                     ModelID = "glm-4.7-flashx"
	Model__302AI__GLM__5                                                                     ModelID = "glm-5"
	Model__302AI__GLM__5_1                                                                   ModelID = "glm-5.1"
	Model__302AI__GLM__5__Turbo                                                              ModelID = "glm-5-turbo"
	Model__302AI__GLM__5v__5__Turbo                                                          ModelID = "glm-5v-turbo"
	Model__302AI__GLM__For__Coding                                                           ModelID = "glm-for-coding"
	Model__302AI__GPT__4_1                                                                   ModelID = "gpt-4.1"
	Model__302AI__GPT__4__1__Mini__4_1                                                       ModelID = "gpt-4.1-mini"
	Model__302AI__GPT__4__1__Nano__4_1                                                       ModelID = "gpt-4.1-nano"
	Model__302AI__GPT__4o                                                                    ModelID = "gpt-4o"
	Model__302AI__GPT__5                                                                     ModelID = "gpt-5"
	Model__302AI__GPT__5_1                                                                   ModelID = "gpt-5.1"
	Model__302AI__GPT__5_1__ChatLatest                                                       ModelID = "gpt-5.1-chat-latest"
	Model__302AI__GPT__5_2                                                                   ModelID = "gpt-5.2"
	Model__302AI__GPT__5_2__ChatLatest                                                       ModelID = "gpt-5.2-chat-latest"
	Model__302AI__GPT__5_4                                                                   ModelID = "gpt-5.4"
	Model__302AI__GPT__5__4__Mini__5_4                                                       ModelID = "gpt-5.4-mini"
	Model__302AI__GPT__5__4__Mini__5_4__20260317                                             ModelID = "gpt-5.4-mini-2026-03-17"
	Model__302AI__GPT__5__4__Nano__5_4                                                       ModelID = "gpt-5.4-nano"
	Model__302AI__GPT__5__4__Nano__5_4__20260317                                             ModelID = "gpt-5.4-nano-2026-03-17"
	Model__302AI__GPT__5__4__Pro__5_4                                                        ModelID = "gpt-5.4-pro"
	Model__302AI__GPT__5__Mini__5                                                            ModelID = "gpt-5-mini"
	Model__302AI__GPT__5__Pro__5                                                             ModelID = "gpt-5-pro"
	Model__302AI__GPT__5__Thinking                                                           ModelID = "gpt-5-thinking"
	Model__302AI__Gemini__2__0__Flash__Lite__2_0                                             ModelID = "gemini-2.0-flash-lite"
	Model__302AI__Gemini__2__5__Flash__2_5                                                   ModelID = "gemini-2.5-flash"
	Model__302AI__Gemini__2__5__Flash__Image__2_5                                            ModelID = "gemini-2.5-flash-image"
	Model__302AI__Gemini__2__5__Flash__Lite__Preview__2_5__Preview__20250926                 ModelID = "gemini-2.5-flash-lite-preview-09-2025"
	Model__302AI__Gemini__2__5__Flash__Nothink__2_5                                          ModelID = "gemini-2.5-flash-nothink"
	Model__302AI__Gemini__2__5__Flash__Preview__2_5__Preview__20250926                       ModelID = "gemini-2.5-flash-preview-09-2025"
	Model__302AI__Gemini__2__5__Pro__2_5                                                     ModelID = "gemini-2.5-pro"
	Model__302AI__Gemini__3__1__Flash__Image__3_1__Preview                                   ModelID = "gemini-3.1-flash-image-preview"
	Model__302AI__Gemini__3__Flash__3__Preview                                               ModelID = "gemini-3-flash-preview"
	Model__302AI__Gemini__3__Pro__3__Preview                                                 ModelID = "gemini-3-pro-preview"
	Model__302AI__Gemini__3__Pro__Image__3__Preview                                          ModelID = "gemini-3-pro-image-preview"
	Model__302AI__Grok__4_1                                                                  ModelID = "grok-4.1"
	Model__302AI__Grok__4_1__ReasoningFast                                                   ModelID = "grok-4-1-fast-reasoning"
	Model__302AI__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning                       ModelID = "grok-4-1-fast-non-reasoning"
	Model__302AI__Grok__4__20__Beta__0309__4_20__Reasoning                                   ModelID = "grok-4.20-beta-0309-reasoning"
	Model__302AI__Grok__4__20__Beta__0309__Non__Reasoning__4_20__Non_Reasoning               ModelID = "grok-4.20-beta-0309-non-reasoning"
	Model__302AI__Grok__4__20__Multi__Agent__Beta__0309__4_20                                ModelID = "grok-4.20-multi-agent-beta-0309"
	Model__302AI__Grok__4__Fast__Non__Reasoning__4__Non_Reasoning                            ModelID = "grok-4-fast-non-reasoning"
	Model__302AI__Grok__4__ReasoningFast                                                     ModelID = "grok-4-fast-reasoning"
	Model__302AI__Kimi__K2__0905__2__Preview                                                 ModelID = "kimi-k2-0905-preview"
	Model__302AI__Kimi__K2__2__Thinking                                                      ModelID = "kimi-k2-thinking"
	Model__302AI__Kimi__K2__2__ThinkingTurbo                                                 ModelID = "kimi-k2-thinking-turbo"
	Model__302AI__MiniMax__M1__1                                                             ModelID = "MiniMax-M1"
	Model__302AI__MiniMax__M2__1__2_1                                                        ModelID = "MiniMax-M2.1"
	Model__302AI__MiniMax__M2__2                                                             ModelID = "MiniMax-M2"
	Model__302AI__MiniMax__M2__7__2_7                                                        ModelID = "MiniMax-M2.7"
	Model__302AI__MiniMax__M2__7__2_7__Highspeed                                             ModelID = "MiniMax-M2.7-highspeed"
	Model__302AI__Ministral__14b__2512                                                       ModelID = "ministral-14b-2512"
	Model__302AI__Mistral__Large__2512                                                       ModelID = "mistral-large-2512"
	Model__302AI__Qwen3__235b__A22b__3                                                       ModelID = "qwen3-235b-a22b"
	Model__302AI__Qwen3__235b__A22b__Instruct__2507__3__Instruct                             ModelID = "qwen3-235b-a22b-instruct-2507"
	Model__302AI__Qwen3__30b__A3b__3                                                         ModelID = "qwen3-30b-a3b"
	Model__302AI__Qwen3__Coder__480b__A35b__3__Instruct                                      ModelID = "qwen3-coder-480b-a35b-instruct"
	Model__302AI__Qwen3__Max__3__20250923                                                    ModelID = "qwen3-max-2025-09-23"
	Model__302AI__Qwen__Flash                                                                ModelID = "qwen-flash"
	Model__302AI__Qwen__Max__Latest                                                          ModelID = "qwen-max-latest"
	Model__302AI__Qwen__Plus                                                                 ModelID = "qwen-plus"
	Model__AIHubMix__Alicloud__DeepSeek__V4__Flash                                           ModelID = "alicloud-deepseek-v4-flash"
	Model__AIHubMix__Alicloud__DeepSeek__V4__Pro__Thinking                                   ModelID = "alicloud-deepseek-v4-pro"
	Model__AIHubMix__Alicloud__GLM__5__1                                                     ModelID = "alicloud-glm-5.1"
	Model__AIHubMix__Claude__Opus__4_6                                                       ModelID = "claude-opus-4-6"
	Model__AIHubMix__Claude__Opus__4_6__Think                                                ModelID = "claude-opus-4-6-think"
	Model__AIHubMix__Claude__Opus__4_7                                                       ModelID = "claude-opus-4-7"
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	Model__AzureCognitiveServices__Cohere__Command__A                                        ModelID = "cohere-command-a"
	Model__AzureCognitiveServices__Cohere__Command__R__20240830                              ModelID = "cohere-command-r-08-2024"
	Model__AzureCognitiveServices__Cohere__Command__R__Plus__20240830                        ModelID = "cohere-command-r-plus-08-2024"
	Model__AzureCognitiveServices__Cohere__Embed__V3__English                                ModelID = "cohere-embed-v3-english"
	Model__AzureCognitiveServices__Cohere__Embed__V3__Multilingual                           ModelID = "cohere-embed-v3-multilingual"
	Model__AzureCognitiveServices__Cohere__Embed__V__4__0                                    ModelID = "cohere-embed-v-4-0"
	Model__AzureCognitiveServices__DeepSeek__R1__0528__Thinking                              ModelID = "deepseek-r1-0528"
	Model__AzureCognitiveServices__DeepSeek__R1__Thinking                                    ModelID = "deepseek-r1"
	Model__AzureCognitiveServices__DeepSeek__V3__0324                                        ModelID = "deepseek-v3-0324"
	Model__AzureCognitiveServices__DeepSeek__V3__1                                           ModelID = "deepseek-v3.1"
	Model__AzureCognitiveServices__DeepSeek__V3__2                                           ModelID = "deepseek-v3.2"
	Model__AzureCognitiveServices__DeepSeek__V3__2__Speciale                                 ModelID = "deepseek-v3.2-speciale"
	Model__AzureCognitiveServices__GPT__3_5__TurboInstruct                                   ModelID = "gpt-3.5-turbo-instruct"
	Model__AzureCognitiveServices__GPT__3__5__Turbo__0125__3_5__Turbo                        ModelID = "gpt-3.5-turbo-0125"
	Model__AzureCognitiveServices__GPT__3__5__Turbo__0301__3_5__Turbo                        ModelID = "gpt-3.5-turbo-0301"
	Model__AzureCognitiveServices__GPT__3__5__Turbo__0613__3_5__Turbo                        ModelID = "gpt-3.5-turbo-0613"
	Model__AzureCognitiveServices__GPT__3__5__Turbo__1106__3_5__Turbo                        ModelID = "gpt-3.5-turbo-1106"
	Model__AzureCognitiveServices__GPT__4                                                    ModelID = "gpt-4"
	Model__AzureCognitiveServices__GPT__4_1                                                  ModelID = "gpt-4.1"
	Model__AzureCognitiveServices__GPT__4__1__Mini__4_1                                      ModelID = "gpt-4.1-mini"
	Model__AzureCognitiveServices__GPT__4__1__Nano__4_1                                      ModelID = "gpt-4.1-nano"
	Model__AzureCognitiveServices__GPT__4__32k__4                                            ModelID = "gpt-4-32k"
	Model__AzureCognitiveServices__GPT__4__Turbo                                             ModelID = "gpt-4-turbo"
	Model__AzureCognitiveServices__GPT__4__VisionTurbo                                       ModelID = "gpt-4-turbo-vision"
	Model__AzureCognitiveServices__GPT__4o                                                   ModelID = "gpt-4o"
	Model__AzureCognitiveServices__GPT__4o__Mini                                             ModelID = "gpt-4o-mini"
	Model__AzureCognitiveServices__GPT__5                                                    ModelID = "gpt-5"
	Model__AzureCognitiveServices__GPT__5_1                                                  ModelID = "gpt-5.1"
	Model__AzureCognitiveServices__GPT__5_1__Chat                                            ModelID = "gpt-5.1-chat"
	Model__AzureCognitiveServices__GPT__5_2                                                  ModelID = "gpt-5.2"
	Model__AzureCognitiveServices__GPT__5_2__Chat                                            ModelID = "gpt-5.2-chat"
	Model__AzureCognitiveServices__GPT__5_4                                                  ModelID = "gpt-5.4"
	Model__AzureCognitiveServices__GPT__5_5                                                  ModelID = "gpt-5.5"
	Model__AzureCognitiveServices__GPT__5__1__Codex__5_1                                     ModelID = "gpt-5.1-codex"
	Model__AzureCognitiveServices__GPT__5__1__Codex__Mini__5_1                               ModelID = "gpt-5.1-codex-mini"
	Model__AzureCognitiveServices__GPT__5__2__Codex__5_2                                     ModelID = "gpt-5.2-codex"
	Model__AzureCognitiveServices__GPT__5__3__Codex__5_3                                     ModelID = "gpt-5.3-codex"
	Model__AzureCognitiveServices__GPT__5__4__Mini__5_4                                      ModelID = "gpt-5.4-mini"
	Model__AzureCognitiveServices__GPT__5__4__Nano__5_4                                      ModelID = "gpt-5.4-nano"
	Model__AzureCognitiveServices__GPT__5__4__Pro__5_4                                       ModelID = "gpt-5.4-pro"
	Model__AzureCognitiveServices__GPT__5__Chat                                              ModelID = "gpt-5-chat"
	Model__AzureCognitiveServices__GPT__5__Codex__5                                          ModelID = "gpt-5-codex"
	Model__AzureCognitiveServices__GPT__5__Mini__5                                           ModelID = "gpt-5-mini"
	Model__AzureCognitiveServices__GPT__5__Nano__5                                           ModelID = "gpt-5-nano"
	Model__AzureCognitiveServices__GPT__5__Pro__5                                            ModelID = "gpt-5-pro"
	Model__AzureCognitiveServices__Grok__4__ReasoningFast                                    ModelID = "grok-4-fast-reasoning"
	Model__AzureCognitiveServices__Kimi__K2__2__Thinking                                     ModelID = "kimi-k2-thinking"
	Model__AzureCognitiveServices__Kimi__K2__5__2_5                                          ModelID = "kimi-k2.5"
	Model__AzureCognitiveServices__Kimi__K2__6__2_6                                          ModelID = "kimi-k2.6"
	Model__AzureCognitiveServices__Llama__3__2__11b__3_2__VisionInstruct                     ModelID = "llama-3.2-11b-vision-instruct"
	Model__AzureCognitiveServices__Llama__3__2__90b__3_2__VisionInstruct                     ModelID = "llama-3.2-90b-vision-instruct"
	Model__AzureCognitiveServices__Llama__3__3__70b__3_3__Instruct                           ModelID = "llama-3.3-70b-instruct"
	Model__AzureCognitiveServices__Llama__4__Maverick__17b__128e__Instruct__Fp8__4__Instruct ModelID = "llama-4-maverick-17b-128e-instruct-fp8"
	Model__AzureCognitiveServices__Llama__4__Scout__17b__16e__4__Instruct                    ModelID = "llama-4-scout-17b-16e-instruct"
	Model__AzureCognitiveServices__Mai__Ds__R1                                               ModelID = "mai-ds-r1"
	Model__AzureCognitiveServices__Meta__Llama__3__1__405b__3_1__Instruct                    ModelID = "meta-llama-3.1-405b-instruct"
	Model__AzureCognitiveServices__Meta__Llama__3__1__70b__3_1__Instruct                     ModelID = "meta-llama-3.1-70b-instruct"
	Model__AzureCognitiveServices__Meta__Llama__3__1__8b__3_1__Instruct                      ModelID = "meta-llama-3.1-8b-instruct"
	Model__AzureCognitiveServices__Meta__Llama__3__70b__3__Instruct                          ModelID = "meta-llama-3-70b-instruct"
	Model__AzureCognitiveServices__Meta__Llama__3__8b__3__Instruct                           ModelID = "meta-llama-3-8b-instruct"
	Model__AzureCognitiveServices__Ministral__3b                                             ModelID = "ministral-3b"
	Model__AzureCognitiveServices__Mistral__Large__2411                                      ModelID = "mistral-large-2411"
	Model__AzureCognitiveServices__Mistral__Medium__2505                                     ModelID = "mistral-medium-2505"
	Model__AzureCognitiveServices__Mistral__Nemo                                             ModelID = "mistral-nemo"
	Model__AzureCognitiveServices__Mistral__Small__2503                                      ModelID = "mistral-small-2503"
	Model__AzureCognitiveServices__Model__Router                                             ModelID = "model-router"
	Model__AzureCognitiveServices__O1__1                                                     ModelID = "o1"
	Model__AzureCognitiveServices__O1__1__Mini                                               ModelID = "o1-mini"
	Model__AzureCognitiveServices__O1__1__Preview                                            ModelID = "o1-preview"
	Model__AzureCognitiveServices__O3__3                                                     ModelID = "o3"
	Model__AzureCognitiveServices__O3__3__Mini                                               ModelID = "o3-mini"
	Model__AzureCognitiveServices__O4__4__Mini                                               ModelID = "o4-mini"
	Model__AzureCognitiveServices__Phi__3__5__Mini__3_5__Instruct                            ModelID = "phi-3.5-mini-instruct"
	Model__AzureCognitiveServices__Phi__3__5__Moe__3_5__Instruct                             ModelID = "phi-3.5-moe-instruct"
	Model__AzureCognitiveServices__Phi__3__Medium__128k__3__Instruct                         ModelID = "phi-3-medium-128k-instruct"
	Model__AzureCognitiveServices__Phi__3__Medium__4k__3__Instruct                           ModelID = "phi-3-medium-4k-instruct"
	Model__AzureCognitiveServices__Phi__3__Mini__128k__3__Instruct                           ModelID = "phi-3-mini-128k-instruct"
	Model__AzureCognitiveServices__Phi__3__Mini__4k__3__Instruct                             ModelID = "phi-3-mini-4k-instruct"
	Model__AzureCognitiveServices__Phi__3__Small__128k__3__Instruct                          ModelID = "phi-3-small-128k-instruct"
	Model__AzureCognitiveServices__Phi__3__Small__8k__3__Instruct                            ModelID = "phi-3-small-8k-instruct"
	Model__AzureCognitiveServices__Phi__4                                                    ModelID = "phi-4"
	Model__AzureCognitiveServices__Phi__4__Mini__4                                           ModelID = "phi-4-mini"
	Model__AzureCognitiveServices__Phi__4__Mini__4__Reasoning                                ModelID = "phi-4-mini-reasoning"
	Model__AzureCognitiveServices__Phi__4__Multimodal                                        ModelID = "phi-4-multimodal"
	Model__AzureCognitiveServices__Phi__4__Reasoning                                         ModelID = "phi-4-reasoning"
	Model__AzureCognitiveServices__Phi__4__Reasoning__Plus__4                                ModelID = "phi-4-reasoning-plus"
	Model__AzureCognitiveServices__Text__Embedding__3__Large__3                              ModelID = "text-embedding-3-large"
	Model__AzureCognitiveServices__Text__Embedding__3__Small__3                              ModelID = "text-embedding-3-small"
	Model__AzureCognitiveServices__Text__Embedding__Ada__002                                 ModelID = "text-embedding-ada-002"
	Model__Azure__Claude__Haiku__4_5                                                         ModelID = "claude-haiku-4-5"
	Model__Azure__Claude__Opus__4_1                                                          ModelID = "claude-opus-4-1"
	Model__Azure__Claude__Opus__4_5                                                          ModelID = "claude-opus-4-5"
	Model__Azure__Claude__Opus__4_6                                                          ModelID = "claude-opus-4-6"
	Model__Azure__Claude__Sonnet__4_5                                                        ModelID = "claude-sonnet-4-5"
	Model__Azure__Claude__Sonnet__4_6                                                        ModelID = "claude-sonnet-4-6"
	Model__Azure__Codestral__2501                                                            ModelID = "codestral-2501"
	Model__Azure__Codex__Mini                                                                ModelID = "codex-mini"
	Model__Azure__Cohere__Command__A                                                         ModelID = "cohere-command-a"
	Model__Azure__Cohere__Command__R__20240830                                               ModelID = "cohere-command-r-08-2024"
	Model__Azure__Cohere__Command__R__Plus__20240830                                         ModelID = "cohere-command-r-plus-08-2024"
	Model__Azure__Cohere__Embed__V3__English                                                 ModelID = "cohere-embed-v3-english"
	Model__Azure__Cohere__Embed__V3__Multilingual                                            ModelID = "cohere-embed-v3-multilingual"
	Model__Azure__Cohere__Embed__V__4__0                                                     ModelID = "cohere-embed-v-4-0"
	Model__Azure__DeepSeek__R1__0528__Thinking                                               ModelID = "deepseek-r1-0528"
	Model__Azure__DeepSeek__R1__Thinking                                                     ModelID = "deepseek-r1"
	Model__Azure__DeepSeek__V3__0324                                                         ModelID = "deepseek-v3-0324"
	Model__Azure__DeepSeek__V3__1                                                            ModelID = "deepseek-v3.1"
	Model__Azure__DeepSeek__V3__2                                                            ModelID = "deepseek-v3.2"
	Model__Azure__DeepSeek__V3__2__Speciale                                                  ModelID = "deepseek-v3.2-speciale"
	Model__Azure__GPT__3_5__TurboInstruct                                                    ModelID = "gpt-3.5-turbo-instruct"
	Model__Azure__GPT__3__5__Turbo__0125__3_5__Turbo                                         ModelID = "gpt-3.5-turbo-0125"
	Model__Azure__GPT__3__5__Turbo__0301__3_5__Turbo                                         ModelID = "gpt-3.5-turbo-0301"
	Model__Azure__GPT__3__5__Turbo__0613__3_5__Turbo                                         ModelID = "gpt-3.5-turbo-0613"
	Model__Azure__GPT__3__5__Turbo__1106__3_5__Turbo                                         ModelID = "gpt-3.5-turbo-1106"
	Model__Azure__GPT__4                                                                     ModelID = "gpt-4"
	Model__Azure__GPT__4_1                                                                   ModelID = "gpt-4.1"
	Model__Azure__GPT__4__1__Mini__4_1                                                       ModelID = "gpt-4.1-mini"
	Model__Azure__GPT__4__1__Nano__4_1                                                       ModelID = "gpt-4.1-nano"
	Model__Azure__GPT__4__32k__4                                                             ModelID = "gpt-4-32k"
	Model__Azure__GPT__4__Turbo                                                              ModelID = "gpt-4-turbo"
	Model__Azure__GPT__4__VisionTurbo                                                        ModelID = "gpt-4-turbo-vision"
	Model__Azure__GPT__4o                                                                    ModelID = "gpt-4o"
	Model__Azure__GPT__4o__Mini                                                              ModelID = "gpt-4o-mini"
	Model__Azure__GPT__5                                                                     ModelID = "gpt-5"
	Model__Azure__GPT__5_1                                                                   ModelID = "gpt-5.1"
	Model__Azure__GPT__5_1__Chat                                                             ModelID = "gpt-5.1-chat"
	Model__Azure__GPT__5_2                                                                   ModelID = "gpt-5.2"
	Model__Azure__GPT__5_2__Chat                                                             ModelID = "gpt-5.2-chat"
	Model__Azure__GPT__5_3__Chat                                                             ModelID = "gpt-5.3-chat"
	Model__Azure__GPT__5_4                                                                   ModelID = "gpt-5.4"
	Model__Azure__GPT__5_5                                                                   ModelID = "gpt-5.5"
	Model__Azure__GPT__5__1__Codex__5_1                                                      ModelID = "gpt-5.1-codex"
	Model__Azure__GPT__5__1__Codex__Max__5_1                                                 ModelID = "gpt-5.1-codex-max"
	Model__Azure__GPT__5__1__Codex__Mini__5_1                                                ModelID = "gpt-5.1-codex-mini"
	Model__Azure__GPT__5__2__Codex__5_2                                                      ModelID = "gpt-5.2-codex"
	Model__Azure__GPT__5__3__Codex__5_3                                                      ModelID = "gpt-5.3-codex"
	Model__Azure__GPT__5__4__Mini__5_4                                                       ModelID = "gpt-5.4-mini"
	Model__Azure__GPT__5__4__Nano__5_4                                                       ModelID = "gpt-5.4-nano"
	Model__Azure__GPT__5__4__Pro__5_4                                                        ModelID = "gpt-5.4-pro"
	Model__Azure__GPT__5__Chat                                                               ModelID = "gpt-5-chat"
	Model__Azure__GPT__5__Codex__5                                                           ModelID = "gpt-5-codex"
	Model__Azure__GPT__5__Mini__5                                                            ModelID = "gpt-5-mini"
	Model__Azure__GPT__5__Nano__5                                                            ModelID = "gpt-5-nano"
	Model__Azure__GPT__5__Pro__5                                                             ModelID = "gpt-5-pro"
	Model__Azure__Grok__4_1__ReasoningFast                                                   ModelID = "grok-4-1-fast-reasoning"
	Model__Azure__Grok__4_20__Reasoning                                                      ModelID = "grok-4-20-reasoning"
	Model__Azure__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning                       ModelID = "grok-4-1-fast-non-reasoning"
	Model__Azure__Grok__4__20__Non__Reasoning__4_20__Non_Reasoning                           ModelID = "grok-4-20-non-reasoning"
	Model__Azure__Grok__4__ReasoningFast                                                     ModelID = "grok-4-fast-reasoning"
	Model__Azure__Kimi__K2__2__Thinking                                                      ModelID = "kimi-k2-thinking"
	Model__Azure__Kimi__K2__5__2_5                                                           ModelID = "kimi-k2.5"
	Model__Azure__Kimi__K2__6__2_6                                                           ModelID = "kimi-k2.6"
	Model__Azure__Llama__3__2__11b__3_2__VisionInstruct                                      ModelID = "llama-3.2-11b-vision-instruct"
	Model__Azure__Llama__3__2__90b__3_2__VisionInstruct                                      ModelID = "llama-3.2-90b-vision-instruct"
	Model__Azure__Llama__3__3__70b__3_3__Instruct                                            ModelID = "llama-3.3-70b-instruct"
	Model__Azure__Llama__4__Maverick__17b__128e__Instruct__Fp8__4__Instruct                  ModelID = "llama-4-maverick-17b-128e-instruct-fp8"
	Model__Azure__Llama__4__Scout__17b__16e__4__Instruct                                     ModelID = "llama-4-scout-17b-16e-instruct"
	Model__Azure__Mai__Ds__R1                                                                ModelID = "mai-ds-r1"
	Model__Azure__Meta__Llama__3__1__405b__3_1__Instruct                                     ModelID = "meta-llama-3.1-405b-instruct"
	Model__Azure__Meta__Llama__3__1__70b__3_1__Instruct                                      ModelID = "meta-llama-3.1-70b-instruct"
	Model__Azure__Meta__Llama__3__1__8b__3_1__Instruct                                       ModelID = "meta-llama-3.1-8b-instruct"
	Model__Azure__Meta__Llama__3__70b__3__Instruct                                           ModelID = "meta-llama-3-70b-instruct"
	Model__Azure__Meta__Llama__3__8b__3__Instruct                                            ModelID = "meta-llama-3-8b-instruct"
	Model__Azure__Ministral__3b                                                              ModelID = "ministral-3b"
	Model__Azure__Mistral__Large__2411                                                       ModelID = "mistral-large-2411"
	Model__Azure__Mistral__Medium__2505                                                      ModelID = "mistral-medium-2505"
	Model__Azure__Mistral__Nemo                                                              ModelID = "mistral-nemo"
	Model__Azure__Mistral__Small__2503                                                       ModelID = "mistral-small-2503"
	Model__Azure__Model__Router                                                              ModelID = "model-router"
	Model__Azure__O1__1                                                                      ModelID = "o1"
	Model__Azure__O1__1__Mini                                                                ModelID = "o1-mini"
	Model__Azure__O1__1__Preview                                                             ModelID = "o1-preview"
	Model__Azure__O3__3                                                                      ModelID = "o3"
	Model__Azure__O3__3__Mini                                                                ModelID = "o3-mini"
	Model__Azure__O4__4__Mini                                                                ModelID = "o4-mini"
	Model__Azure__Phi__3__5__Mini__3_5__Instruct                                             ModelID = "phi-3.5-mini-instruct"
	Model__Azure__Phi__3__5__Moe__3_5__Instruct                                              ModelID = "phi-3.5-moe-instruct"
	Model__Azure__Phi__3__Medium__128k__3__Instruct                                          ModelID = "phi-3-medium-128k-instruct"
	Model__Azure__Phi__3__Medium__4k__3__Instruct                                            ModelID = "phi-3-medium-4k-instruct"
	Model__Azure__Phi__3__Mini__128k__3__Instruct                                            ModelID = "phi-3-mini-128k-instruct"
	Model__Azure__Phi__3__Mini__4k__3__Instruct                                              ModelID = "phi-3-mini-4k-instruct"
	Model__Azure__Phi__3__Small__128k__3__Instruct                                           ModelID = "phi-3-small-128k-instruct"
	Model__Azure__Phi__3__Small__8k__3__Instruct                                             ModelID = "phi-3-small-8k-instruct"
	Model__Azure__Phi__4                                                                     ModelID = "phi-4"
	Model__Azure__Phi__4__Mini__4                                                            ModelID = "phi-4-mini"
	Model__Azure__Phi__4__Mini__4__Reasoning                                                 ModelID = "phi-4-mini-reasoning"
	Model__Azure__Phi__4__Multimodal                                                         ModelID = "phi-4-multimodal"
	Model__Azure__Phi__4__Reasoning                                                          ModelID = "phi-4-reasoning"
	Model__Azure__Phi__4__Reasoning__Plus__4                                                 ModelID = "phi-4-reasoning-plus"
	Model__Azure__Text__Embedding__3__Large__3                                               ModelID = "text-embedding-3-large"
	Model__Azure__Text__Embedding__3__Small__3                                               ModelID = "text-embedding-3-small"
	Model__Azure__Text__Embedding__Ada__002                                                  ModelID = "text-embedding-ada-002"
	Model__Bailing__Ling__1T__1t                                                             ModelID = "Ling-1T"
	Model__Bailing__Ring__1T__1t                                                             ModelID = "Ring-1T"
	Model__Baseten__DeepSeek__V3__0324                                                       ModelID = "deepseek-ai/DeepSeek-V3-0324"
	Model__Baseten__DeepSeek__V3__1                                                          ModelID = "deepseek-ai/DeepSeek-V3.1"
	Model__Baseten__DeepSeek__V3__2                                                          ModelID = "deepseek-ai/DeepSeek-V3.2"
	Model__Baseten__DeepSeek__V4__Pro__Thinking                                              ModelID = "deepseek-ai/DeepSeek-V4-Pro"
	Model__Baseten__GLM__4_6                                                                 ModelID = "zai-org/GLM-4.6"
	Model__Baseten__GLM__4_7                                                                 ModelID = "zai-org/GLM-4.7"
	Model__Baseten__GLM__5                                                                   ModelID = "zai-org/GLM-5"
	Model__Baseten__GPT__Oss__120b                                                           ModelID = "openai/gpt-oss-120b"
	Model__Baseten__Kimi__K2__2__Thinking                                                    ModelID = "moonshotai/Kimi-K2-Thinking"
	Model__Baseten__Kimi__K2__5__2_5                                                         ModelID = "moonshotai/Kimi-K2.5"
	Model__Baseten__Kimi__K2__6__2_6                                                         ModelID = "moonshotai/Kimi-K2.6"
	Model__Baseten__Kimi__K2__Instruct__0905__2__Instruct                                    ModelID = "moonshotai/Kimi-K2-Instruct-0905"
	Model__Baseten__MiniMax__M2__5__2_5                                                      ModelID = "MiniMaxAI/MiniMax-M2.5"
	Model__Baseten__Nemotron__120B__A12b                                                     ModelID = "nvidia/Nemotron-120B-A12B"
	Model__Berget__GLM__4_7                                                                  ModelID = "zai-org/GLM-4.7"
	Model__Berget__GPT__Oss__120b                                                            ModelID = "openai/gpt-oss-120b"
	Model__Berget__Gemma__4__31B__It__4                                                      ModelID = "google/gemma-4-31B-it"
	Model__Berget__Kimi__K2__6__2_6                                                          ModelID = "moonshotai/Kimi-K2.6"
	Model__Berget__Llama__3__3__70B__3_3__Instruct                                           ModelID = "meta-llama/Llama-3.3-70B-Instruct"
	Model__Berget__Mistral__Medium__3__5__128B__3_5                                          ModelID = "mistralai/Mistral-Medium-3.5-128B"
	Model__Berget__Mistral__Small__3__2__24B__Instruct__2506__3_2__Instruct                  ModelID = "mistralai/Mistral-Small-3.2-24B-Instruct-2506"
	Model__Cerebras__GPT__Oss__120b                                                          ModelID = "gpt-oss-120b"
	Model__Cerebras__Llama3__1__8b                                                           ModelID = "llama3.1-8b"
	Model__Cerebras__Zai__GLM__4_7                                                           ModelID = "zai-glm-4.7"
	Model__Chutes__DeepSeek__R1__0528__Tee__Thinking                                         ModelID = "deepseek-ai/DeepSeek-R1-0528-TEE"
	Model__Chutes__DeepSeek__R1__Distill__Llama__70B__Thinking                               ModelID = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"
	Model__Chutes__DeepSeek__Tng__R1t2__Chimera__Tee                                         ModelID = "tngtech/DeepSeek-TNG-R1T2-Chimera-TEE"
	Model__Chutes__DeepSeek__V3__0324__Tee                                                   ModelID = "deepseek-ai/DeepSeek-V3-0324-TEE"
	Model__Chutes__DeepSeek__V3__1__Tee                                                      ModelID = "deepseek-ai/DeepSeek-V3.1-TEE"
	Model__Chutes__DeepSeek__V3__2__Tee                                                      ModelID = "deepseek-ai/DeepSeek-V3.2-TEE"
	Model__Chutes__Deephermes__3__Mistral__24B__Preview                                      ModelID = "NousResearch/DeepHermes-3-Mistral-24B-Preview"
	Model__Chutes__Dots__Ocr                                                                 ModelID = "rednote-hilab/dots.ocr"
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	Model__CloudflareAIGateway__GPT__4                                                       ModelID = "openai/gpt-4"
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	Model__CloudflareAIGateway__GPT__4o                                                      ModelID = "openai/gpt-4o"
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	Model__Cortecs__Claude__Opus4__7                                                         ModelID = "claude-opus4-7"
	Model__Cortecs__Claude__Sonnet__4                                                        ModelID = "claude-sonnet-4"
	Model__Cortecs__Codestral__2508                                                          ModelID = "codestral-2508"
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	Model__Cortecs__DeepSeek__V3__0324                                                       ModelID = "deepseek-v3-0324"
	Model__Cortecs__DeepSeek__V3__2                                                          ModelID = "deepseek-v3.2"
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	Model__Cortecs__Devstral__2512                                                           ModelID = "devstral-2512"
	Model__Cortecs__Devstral__Small__2512                                                    ModelID = "devstral-small-2512"
	Model__Cortecs__GLM__4_5                                                                 ModelID = "glm-4.5"
	Model__Cortecs__GLM__4_7                                                                 ModelID = "glm-4.7"
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	Model__Cortecs__GLM__5                                                                   ModelID = "glm-5"
	Model__Cortecs__GLM__5_1                                                                 ModelID = "glm-5.1"
	Model__Cortecs__GPT__4_1                                                                 ModelID = "gpt-4.1"
	Model__Cortecs__GPT__Oss__120b                                                           ModelID = "gpt-oss-120b"
	Model__Cortecs__Gemini__2__5__Pro__2_5                                                   ModelID = "gemini-2.5-pro"
	Model__Cortecs__Hermes__4__70b__4                                                        ModelID = "hermes-4-70b"
	Model__Cortecs__Intellect__3                                                             ModelID = "intellect-3"
	Model__Cortecs__Kimi__K2__2__Instruct                                                    ModelID = "kimi-k2-instruct"
	Model__Cortecs__Kimi__K2__2__Thinking                                                    ModelID = "kimi-k2-thinking"
	Model__Cortecs__Kimi__K2__5__2_5__Thinking                                               ModelID = "kimi-k2.5"
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	Model__Cortecs__MiniMax__M2__1__2_1                                                      ModelID = "minimax-m2.1"
	Model__Cortecs__MiniMax__M2__2                                                           ModelID = "minimax-m2"
	Model__Cortecs__MiniMax__M2__5__2_5                                                      ModelID = "minimax-m2.5"
	Model__Cortecs__MiniMax__M2__7__2_7                                                      ModelID = "minimax-m2.7"
	Model__Cortecs__Mistral__Large__2512                                                     ModelID = "mistral-large-2512"
	Model__Cortecs__Mixtral__8x7B__Instruct__V0__1__0_1__Instruct                            ModelID = "mixtral-8x7B-instruct-v0.1"
	Model__Cortecs__Nemotron__3__Super__120b__A12b__3                                        ModelID = "nemotron-3-super-120b-a12b"
	Model__Cortecs__Nova__Pro__V1                                                            ModelID = "nova-pro-v1"
	Model__Cortecs__Qwen3__235b__A22b__Instruct__2507__3__Instruct                           ModelID = "qwen3-235b-a22b-instruct-2507"
	Model__Cortecs__Qwen3__32b__3                                                            ModelID = "qwen3-32b"
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	Model__Cortecs__Qwen3__Coder__Next__3                                                    ModelID = "qwen3-coder-next"
	Model__Cortecs__Qwen3__Next__80b__A3b__3__Thinking                                       ModelID = "qwen3-next-80b-a3b-thinking"
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	Model__Crof__DeepSeek__V3__2                                                             ModelID = "deepseek-v3.2"
	Model__Crof__DeepSeek__V4__Flash                                                         ModelID = "deepseek-v4-flash"
	Model__Crof__DeepSeek__V4__Pro__Precision__Thinking                                      ModelID = "deepseek-v4-pro-precision"
	Model__Crof__DeepSeek__V4__Pro__Thinking                                                 ModelID = "deepseek-v4-pro"
	Model__Crof__GLM__4_7                                                                    ModelID = "glm-4.7"
	Model__Crof__GLM__4__7__Flash__4_7                                                       ModelID = "glm-4.7-flash"
	Model__Crof__GLM__5                                                                      ModelID = "glm-5"
	Model__Crof__GLM__5_1                                                                    ModelID = "glm-5.1"
	Model__Crof__GLM__5__1__Precision__5_1                                                   ModelID = "glm-5.1-precision"
	Model__Crof__Gemma__4__31b__It__4                                                        ModelID = "gemma-4-31b-it"
	Model__Crof__Greg                                                                        ModelID = "greg"
	Model__Crof__Kimi__K2__5__2_5                                                            ModelID = "kimi-k2.5"
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	Model__Crof__Mimo__V2__5__2_5__Pro                                                       ModelID = "mimo-v2.5-pro"
	Model__Crof__Mimo__V2__5__Pro__Precision__2_5                                            ModelID = "mimo-v2.5-pro-precision"
	Model__Crof__MiniMax__M2__5__2_5                                                         ModelID = "minimax-m2.5"
	Model__Crof__Qwen3__5__397b__A17b__3_5                                                   ModelID = "qwen3.5-397b-a17b"
	Model__Crof__Qwen3__5__9b__3_5                                                           ModelID = "qwen3.5-9b"
	Model__Crof__Qwen3__6__27b__3_6                                                          ModelID = "qwen3.6-27b"
	Model__DInference__GLM__4_7                                                              ModelID = "glm-4.7"
	Model__DInference__GLM__5                                                                ModelID = "glm-5"
	Model__DInference__GLM__5_1                                                              ModelID = "glm-5.1"
	Model__DInference__GPT__Oss__120b                                                        ModelID = "gpt-oss-120b"
	Model__DInference__MiniMax__M2__5__2_5                                                   ModelID = "minimax-m2.5"
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	Model__Databricks__Databricks__Claude__Opus__4__1                                        ModelID = "databricks-claude-opus-4-1"
	Model__Databricks__Databricks__Claude__Opus__4__5                                        ModelID = "databricks-claude-opus-4-5"
	Model__Databricks__Databricks__Claude__Opus__4__6                                        ModelID = "databricks-claude-opus-4-6"
	Model__Databricks__Databricks__Claude__Opus__4__7                                        ModelID = "databricks-claude-opus-4-7"
	Model__Databricks__Databricks__Claude__Sonnet__4                                         ModelID = "databricks-claude-sonnet-4"
	Model__Databricks__Databricks__Claude__Sonnet__4__5                                      ModelID = "databricks-claude-sonnet-4-5"
	Model__Databricks__Databricks__Claude__Sonnet__4__6                                      ModelID = "databricks-claude-sonnet-4-6"
	Model__Databricks__Databricks__GPT__5                                                    ModelID = "databricks-gpt-5"
	Model__Databricks__Databricks__GPT__5__1                                                 ModelID = "databricks-gpt-5-1"
	Model__Databricks__Databricks__GPT__5__2                                                 ModelID = "databricks-gpt-5-2"
	Model__Databricks__Databricks__GPT__5__4                                                 ModelID = "databricks-gpt-5-4"
	Model__Databricks__Databricks__GPT__5__4__Mini                                           ModelID = "databricks-gpt-5-4-mini"
	Model__Databricks__Databricks__GPT__5__4__Nano                                           ModelID = "databricks-gpt-5-4-nano"
	Model__Databricks__Databricks__GPT__5__5                                                 ModelID = "databricks-gpt-5-5"
	Model__Databricks__Databricks__GPT__5__Mini                                              ModelID = "databricks-gpt-5-mini"
	Model__Databricks__Databricks__GPT__5__Nano                                              ModelID = "databricks-gpt-5-nano"
	Model__Databricks__Databricks__GPT__Oss__120b                                            ModelID = "databricks-gpt-oss-120b"
	Model__Databricks__Databricks__GPT__Oss__20b                                             ModelID = "databricks-gpt-oss-20b"
	Model__Databricks__Databricks__Gemini__2__5__Flash                                       ModelID = "databricks-gemini-2-5-flash"
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	Model__Databricks__Databricks__Gemini__3__Flash                                          ModelID = "databricks-gemini-3-flash"
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	Model__DeepInfra__Claude__4__Opus__4                                                     ModelID = "anthropic/claude-4-opus"
	Model__DeepInfra__DeepSeek__R1__0528                                                     ModelID = "deepseek-ai/DeepSeek-R1-0528"
	Model__DeepInfra__DeepSeek__V3__2                                                        ModelID = "deepseek-ai/DeepSeek-V3.2"
	Model__DeepInfra__DeepSeek__V4__Flash                                                    ModelID = "deepseek-ai/DeepSeek-V4-Flash"
	Model__DeepInfra__DeepSeek__V4__Pro__Thinking                                            ModelID = "deepseek-ai/DeepSeek-V4-Pro"
	Model__DeepInfra__GLM__4_5                                                               ModelID = "zai-org/GLM-4.5"
	Model__DeepInfra__GLM__4_6                                                               ModelID = "zai-org/GLM-4.6"
	Model__DeepInfra__GLM__4_7                                                               ModelID = "zai-org/GLM-4.7"
	Model__DeepInfra__GLM__4__6V__4_6                                                        ModelID = "zai-org/GLM-4.6V"
	Model__DeepInfra__GLM__4__7__Flash__4_7                                                  ModelID = "zai-org/GLM-4.7-Flash"
	Model__DeepInfra__GLM__5                                                                 ModelID = "zai-org/GLM-5"
	Model__DeepInfra__GLM__5_1                                                               ModelID = "zai-org/GLM-5.1"
	Model__DeepInfra__GPT__Oss__120b                                                         ModelID = "openai/gpt-oss-120b"
	Model__DeepInfra__GPT__Oss__20b                                                          ModelID = "openai/gpt-oss-20b"
	Model__DeepInfra__Gemma__4__26B__A4b__It__4                                              ModelID = "google/gemma-4-26B-A4B-it"
	Model__DeepInfra__Gemma__4__31B__It__4                                                   ModelID = "google/gemma-4-31B-it"
	Model__DeepInfra__Kimi__K2__2__Instruct                                                  ModelID = "moonshotai/Kimi-K2-Instruct"
	Model__DeepInfra__Kimi__K2__2__Thinking                                                  ModelID = "moonshotai/Kimi-K2-Thinking"
	Model__DeepInfra__Kimi__K2__5__2_5                                                       ModelID = "moonshotai/Kimi-K2.5"
	Model__DeepInfra__Kimi__K2__6__2_6                                                       ModelID = "moonshotai/Kimi-K2.6"
	Model__DeepInfra__Kimi__K2__Instruct__0905__2__Instruct                                  ModelID = "moonshotai/Kimi-K2-Instruct-0905"
	Model__DeepInfra__Llama__3__1__70B__3_1__Instruct                                        ModelID = "meta-llama/Llama-3.1-70B-Instruct"
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	Model__DeepInfra__Llama__3__1__8B__3_1__Instruct                                         ModelID = "meta-llama/Llama-3.1-8B-Instruct"
	Model__DeepInfra__Llama__3__1__8B__3_1__TurboInstruct                                    ModelID = "meta-llama/Llama-3.1-8B-Instruct-Turbo"
	Model__DeepInfra__Llama__3__3__70B__3_3__TurboInstruct                                   ModelID = "meta-llama/Llama-3.3-70B-Instruct-Turbo"
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	Model__DeepInfra__Llama__4__Scout__17B__16E__4__Instruct                                 ModelID = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
	Model__DeepInfra__Mimo__V2__5__2_5                                                       ModelID = "xiaomi/mimo-v2.5"
	Model__DeepInfra__Mimo__V2__5__2_5__Pro                                                  ModelID = "xiaomi/mimo-v2.5-pro"
	Model__DeepInfra__MiniMax__M2__1__2_1                                                    ModelID = "MiniMaxAI/MiniMax-M2.1"
	Model__DeepInfra__MiniMax__M2__2                                                         ModelID = "MiniMaxAI/MiniMax-M2"
	Model__DeepInfra__MiniMax__M2__5__2_5                                                    ModelID = "MiniMaxAI/MiniMax-M2.5"
	Model__DeepInfra__Qwen3__5__35B__A3b__3_5                                                ModelID = "Qwen/Qwen3.5-35B-A3B"
	Model__DeepInfra__Qwen3__5__397B__A17b__3_5                                              ModelID = "Qwen/Qwen3.5-397B-A17B"
	Model__DeepInfra__Qwen3__6__35B__A3b__3_6                                                ModelID = "Qwen/Qwen3.6-35B-A3B"
	Model__DeepInfra__Qwen3__Coder__480B__A35b__3__Instruct                                  ModelID = "Qwen/Qwen3-Coder-480B-A35B-Instruct"
	Model__DeepInfra__Qwen3__Coder__480B__A35b__Instruct__Turbo__3                           ModelID = "Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo"
	Model__DeepSeek__DeepSeek__Chat                                                          ModelID = "deepseek-chat"
	Model__DeepSeek__DeepSeek__Reasoner__Thinking                                            ModelID = "deepseek-reasoner"
	Model__DeepSeek__DeepSeek__V4__Flash                                                     ModelID = "deepseek-v4-flash"
	Model__DeepSeek__DeepSeek__V4__Pro__Thinking                                             ModelID = "deepseek-v4-pro"
	Model__DigitalOcean__Alibaba__Qwen3__32b                                                 ModelID = "alibaba-qwen3-32b"
	Model__DigitalOcean__All__Mini__Lm__L6__V2                                               ModelID = "all-mini-lm-l6-v2"
	Model__DigitalOcean__Anthropic__Claude__3__5__Haiku                                      ModelID = "anthropic-claude-3.5-haiku"
	Model__DigitalOcean__Anthropic__Claude__3__5__Sonnet                                     ModelID = "anthropic-claude-3.5-sonnet"
	Model__DigitalOcean__Anthropic__Claude__3__7__Sonnet                                     ModelID = "anthropic-claude-3.7-sonnet"
	Model__DigitalOcean__Anthropic__Claude__3__Opus                                          ModelID = "anthropic-claude-3-opus"
	Model__DigitalOcean__Anthropic__Claude__4__1__Opus                                       ModelID = "anthropic-claude-4.1-opus"
	Model__DigitalOcean__Anthropic__Claude__4__5__Haiku                                      ModelID = "anthropic-claude-4.5-haiku"
	Model__DigitalOcean__Anthropic__Claude__4__5__Sonnet                                     ModelID = "anthropic-claude-4.5-sonnet"
	Model__DigitalOcean__Anthropic__Claude__4__6__Sonnet                                     ModelID = "anthropic-claude-4.6-sonnet"
	Model__DigitalOcean__Anthropic__Claude__Haiku__4__5                                      ModelID = "anthropic-claude-haiku-4.5"
	Model__DigitalOcean__Anthropic__Claude__Opus__4                                          ModelID = "anthropic-claude-opus-4"
	Model__DigitalOcean__Anthropic__Claude__Opus__4__5                                       ModelID = "anthropic-claude-opus-4.5"
	Model__DigitalOcean__Anthropic__Claude__Opus__4__6                                       ModelID = "anthropic-claude-opus-4.6"
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	Model__DigitalOcean__Anthropic__Claude__Opus__4__8                                       ModelID = "anthropic-claude-opus-4.8"
	Model__DigitalOcean__Anthropic__Claude__Sonnet__4                                        ModelID = "anthropic-claude-sonnet-4"
	Model__DigitalOcean__Arcee__Trinity__Large__Thinking                                     ModelID = "arcee-trinity-large-thinking"
	Model__DigitalOcean__Bge__M3                                                             ModelID = "bge-m3"
	Model__DigitalOcean__Bge__Reranker__V2__M3                                               ModelID = "bge-reranker-v2-m3"
	Model__DigitalOcean__DeepSeek__3_2                                                       ModelID = "deepseek-3.2"
	Model__DigitalOcean__DeepSeek__4__Flash__4                                               ModelID = "deepseek-4-flash"
	Model__DigitalOcean__DeepSeek__R1__Distill__Llama__70b__Thinking                         ModelID = "deepseek-r1-distill-llama-70b"
	Model__DigitalOcean__DeepSeek__V3                                                        ModelID = "deepseek-v3"
	Model__DigitalOcean__DeepSeek__V4__Pro__Thinking                                         ModelID = "deepseek-v4-pro"
	Model__DigitalOcean__E5__Large__V2                                                       ModelID = "e5-large-v2"
	Model__DigitalOcean__Fast__Sdxl                                                          ModelID = "fal-ai/fast-sdxl"
	Model__DigitalOcean__GLM__5                                                              ModelID = "glm-5"
	Model__DigitalOcean__Gemma__4__31B__It__4                                                ModelID = "gemma-4-31B-it"
	Model__DigitalOcean__Gte__Large__En__V1__5                                               ModelID = "gte-large-en-v1.5"
	Model__DigitalOcean__Kimi__K2__5__2_5                                                    ModelID = "kimi-k2.5"
	Model__DigitalOcean__Kimi__K2__6__2_6                                                    ModelID = "kimi-k2.6"
	Model__DigitalOcean__Llama3__3__70b__Instruct                                            ModelID = "llama3.3-70b-instruct"
	Model__DigitalOcean__Llama3__8b__Instruct                                                ModelID = "llama3-8b-instruct"
	Model__DigitalOcean__Llama__4__Maverick__4                                               ModelID = "llama-4-maverick"
	Model__DigitalOcean__MiniMax__M2__5__2_5                                                 ModelID = "minimax-m2.5"
	Model__DigitalOcean__Ministral__3__8b__Instruct__2512__3__Instruct                       ModelID = "ministral-3-8b-instruct-2512"
	Model__DigitalOcean__Mistral__3__14B                                                     ModelID = "mistral-3-14B"
	Model__DigitalOcean__Mistral__7b__Instruct__V0__3__0_3__Instruct                         ModelID = "mistral-7b-instruct-v0.3"
	Model__DigitalOcean__Mistral__Nemo__Instruct__2407__Instruct                             ModelID = "mistral-nemo-instruct-2407"
	Model__DigitalOcean__Multi__Qa__Mpnet__Base__Dot__V1                                     ModelID = "multi-qa-mpnet-base-dot-v1"
	Model__DigitalOcean__Multilingual__V2                                                    ModelID = "fal-ai/elevenlabs/tts/multilingual-v2"
	Model__DigitalOcean__Nemotron__3__Nano__30b__3                                           ModelID = "nemotron-3-nano-30b"
	Model__DigitalOcean__Nemotron__3__Nano__Omni__3                                          ModelID = "nemotron-3-nano-omni"
	Model__DigitalOcean__Nemotron__Nano__12b__V2__Vl                                         ModelID = "nemotron-nano-12b-v2-vl"
	Model__DigitalOcean__Nvidia__Nemotron__3__Super__120b                                    ModelID = "nvidia-nemotron-3-super-120b"
	Model__DigitalOcean__OpenAI__GPT__4__1                                                   ModelID = "openai-gpt-4.1"
	Model__DigitalOcean__OpenAI__GPT__4o                                                     ModelID = "openai-gpt-4o"
	Model__DigitalOcean__OpenAI__GPT__4o__Mini                                               ModelID = "openai-gpt-4o-mini"
	Model__DigitalOcean__OpenAI__GPT__5                                                      ModelID = "openai-gpt-5"
	Model__DigitalOcean__OpenAI__GPT__5__1__Codex__Max                                       ModelID = "openai-gpt-5.1-codex-max"
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	Model__DigitalOcean__OpenAI__GPT__5__3__Codex                                            ModelID = "openai-gpt-5.3-codex"
	Model__DigitalOcean__OpenAI__GPT__5__4                                                   ModelID = "openai-gpt-5.4"
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	Model__DigitalOcean__OpenAI__GPT__5__4__Pro                                              ModelID = "openai-gpt-5.4-pro"
	Model__DigitalOcean__OpenAI__GPT__5__5                                                   ModelID = "openai-gpt-5.5"
	Model__DigitalOcean__OpenAI__GPT__5__Mini                                                ModelID = "openai-gpt-5-mini"
	Model__DigitalOcean__OpenAI__GPT__5__Nano                                                ModelID = "openai-gpt-5-nano"
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	Model__DigitalOcean__OpenAI__GPT__Image__1__5                                            ModelID = "openai-gpt-image-1.5"
	Model__DigitalOcean__OpenAI__GPT__Image__2                                               ModelID = "openai-gpt-image-2"
	Model__DigitalOcean__OpenAI__GPT__Oss__120b                                              ModelID = "openai-gpt-oss-120b"
	Model__DigitalOcean__OpenAI__GPT__Oss__20b                                               ModelID = "openai-gpt-oss-20b"
	Model__DigitalOcean__OpenAI__O1                                                          ModelID = "openai-o1"
	Model__DigitalOcean__OpenAI__O3                                                          ModelID = "openai-o3"
	Model__DigitalOcean__OpenAI__O3__Mini                                                    ModelID = "openai-o3-mini"
	Model__DigitalOcean__Qwen3__5__397b__A17b__3_5                                           ModelID = "qwen3.5-397b-a17b"
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	Model__DigitalOcean__Qwen3__Embedding__0__6b__3                                          ModelID = "qwen3-embedding-0.6b"
	Model__DigitalOcean__Qwen3__Tts__Voicedesign__3                                          ModelID = "qwen3-tts-voicedesign"
	Model__DigitalOcean__Qwen__2__5__14b__2_5__Instruct                                      ModelID = "qwen-2.5-14b-instruct"
	Model__DigitalOcean__Schnell                                                             ModelID = "fal-ai/flux/schnell"
	Model__DigitalOcean__Stable__Diffusion__3__5__Large__3_5                                 ModelID = "stable-diffusion-3.5-large"
	Model__DigitalOcean__Text__To__Audio                                                     ModelID = "fal-ai/stable-audio-25/text-to-audio"
	Model__DigitalOcean__Wan2__2__T2v__A14b__2                                               ModelID = "wan2-2-t2v-a14b"
	Model__Drun__DeepSeek__R1__Thinking                                                      ModelID = "public/deepseek-r1"
	Model__Drun__DeepSeek__V3                                                                ModelID = "public/deepseek-v3"
	Model__Drun__MiniMax__M25__25                                                            ModelID = "public/minimax-m25"
	Model__Evroc__Devstral__Small__2__24b__Instruct__2512__2__Instruct                       ModelID = "mistralai/devstral-small-2-24b-instruct-2512"
	Model__Evroc__GPT__Oss__120b                                                             ModelID = "openai/gpt-oss-120b"
	Model__Evroc__Kb__Whisper__Large                                                         ModelID = "KBLab/kb-whisper-large"
	Model__Evroc__Kimi__K2__5__2_5                                                           ModelID = "moonshotai/Kimi-K2.5"
	Model__Evroc__Llama__3__3__70B__Instruct__Fp8__3_3__Instruct                             ModelID = "nvidia/Llama-3.3-70B-Instruct-FP8"
	Model__Evroc__Magistral__Small__2509                                                     ModelID = "mistralai/Magistral-Small-2509"
	Model__Evroc__Multilingual__E5__Large__Instruct                                          ModelID = "intfloat/multilingual-e5-large-instruct"
	Model__Evroc__Phi__4__MultimodalInstruct                                                 ModelID = "microsoft/Phi-4-multimodal-instruct"
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	Model__Evroc__Qwen3__Embedding__8B__3                                                    ModelID = "Qwen/Qwen3-Embedding-8B"
	Model__Evroc__Qwen3__Vl__30B__A3b__3__Instruct                                           ModelID = "Qwen/Qwen3-VL-30B-A3B-Instruct"
	Model__Evroc__Voxtral__Small__24B__2507                                                  ModelID = "mistralai/Voxtral-Small-24B-2507"
	Model__Evroc__Whisper__Large__V3__3                                                      ModelID = "openai/whisper-large-v3"
	Model__FastRouter__Claude__Opus__4_1                                                     ModelID = "anthropic/claude-opus-4.1"
	Model__FastRouter__Claude__Sonnet__4                                                     ModelID = "anthropic/claude-sonnet-4"
	Model__FastRouter__DeepSeek__R1__Distill__Llama__70b__Thinking                           ModelID = "deepseek-ai/deepseek-r1-distill-llama-70b"
	Model__FastRouter__GLM__5                                                                ModelID = "z-ai/glm-5"
	Model__FastRouter__GPT__4_1                                                              ModelID = "openai/gpt-4.1"
	Model__FastRouter__GPT__5                                                                ModelID = "openai/gpt-5"
	Model__FastRouter__GPT__5__Mini__5                                                       ModelID = "openai/gpt-5-mini"
	Model__FastRouter__GPT__5__Nano__5                                                       ModelID = "openai/gpt-5-nano"
	Model__FastRouter__GPT__Oss__120b                                                        ModelID = "openai/gpt-oss-120b"
	Model__FastRouter__GPT__Oss__20b                                                         ModelID = "openai/gpt-oss-20b"
	Model__FastRouter__Gemini__2__5__Flash__2_5                                              ModelID = "google/gemini-2.5-flash"
	Model__FastRouter__Gemini__2__5__Pro__2_5                                                ModelID = "google/gemini-2.5-pro"
	Model__FastRouter__Grok__4                                                               ModelID = "x-ai/grok-4"
	Model__FastRouter__Kimi__K2__2                                                           ModelID = "moonshotai/kimi-k2"
	Model__FastRouter__Qwen3__Coder__3                                                       ModelID = "qwen/qwen3-coder"
	Model__Firepass__Kimi__K2p6__2_6__ThinkingTurbo                                          ModelID = "accounts/fireworks/routers/kimi-k2p6-turbo"
	Model__FireworksAI__DeepSeek__V4__Flash                                                  ModelID = "accounts/fireworks/models/deepseek-v4-flash"
	Model__FireworksAI__DeepSeek__V4__Pro__Thinking                                          ModelID = "accounts/fireworks/models/deepseek-v4-pro"
	Model__FireworksAI__GLM__5p1                                                             ModelID = "accounts/fireworks/models/glm-5p1"
	Model__FireworksAI__GLM__5p1__Fast                                                       ModelID = "accounts/fireworks/routers/glm-5p1-fast"
	Model__FireworksAI__GPT__Oss__120b                                                       ModelID = "accounts/fireworks/models/gpt-oss-120b"
	Model__FireworksAI__GPT__Oss__20b                                                        ModelID = "accounts/fireworks/models/gpt-oss-20b"
	Model__FireworksAI__Kimi__K2p5__2_5__Thinking                                            ModelID = "accounts/fireworks/models/kimi-k2p5"
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	Model__FireworksAI__Kimi__K2p6__2_6__ThinkingTurbo                                       ModelID = "accounts/fireworks/routers/kimi-k2p6-turbo"
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	Model__FireworksAI__MiniMax__M2p7__2_7                                                   ModelID = "accounts/fireworks/models/minimax-m2p7"
	Model__FireworksAI__Qwen3p6__Plus                                                        ModelID = "accounts/fireworks/models/qwen3p6-plus"
	Model__Friendli__GLM__5                                                                  ModelID = "zai-org/GLM-5"
	Model__Friendli__GLM__5_1                                                                ModelID = "zai-org/GLM-5.1"
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	Model__FrogBot__Claude__Haiku__4_5                                                       ModelID = "claude-haiku-4-5"
	Model__FrogBot__Claude__Opus__4_6                                                        ModelID = "claude-opus-4-6"
	Model__FrogBot__Claude__Opus__4_7                                                        ModelID = "claude-opus-4-7"
	Model__FrogBot__Claude__Sonnet__4_6                                                      ModelID = "claude-sonnet-4-6"
	Model__FrogBot__DeepSeek__V4__Pro                                                        ModelID = "deepseek-v4-pro"
	Model__FrogBot__GPT__4o                                                                  ModelID = "gpt-4o"
	Model__FrogBot__GPT__5_5                                                                 ModelID = "gpt-5-5"
	Model__FrogBot__GPT__5__3__Codex__5_3                                                    ModelID = "gpt-5-3-codex"
	Model__FrogBot__GPT__5__4__Mini__5_4                                                     ModelID = "gpt-5-4-mini"
	Model__FrogBot__GPT__5__4__Nano__5_4                                                     ModelID = "gpt-5-4-nano"
	Model__FrogBot__GPT__Oss__120b                                                           ModelID = "gpt-oss-120b"
	Model__FrogBot__GPT__Oss__20b                                                            ModelID = "gpt-oss-20b"
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	Model__FrogBot__Grok__4_3                                                                ModelID = "grok-4-3"
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	Model__FrogBot__Kimi__K2__5__2_5                                                         ModelID = "kimi-k2.5"
	Model__FrogBot__Kimi__K2__6__2_6                                                         ModelID = "kimi-k2-6"
	Model__FrogBot__MiniMax__M2__5__2_5                                                      ModelID = "minimax-m2-5"
	Model__FrogBot__MiniMax__M2__7__2_7                                                      ModelID = "minimax-m2-7"
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	Model__GMICloud__Claude__Opus__4_6                                                       ModelID = "anthropic/claude-opus-4.6"
	Model__GMICloud__Claude__Opus__4_7                                                       ModelID = "anthropic/claude-opus-4.7"
	Model__GMICloud__Claude__Sonnet__4_6                                                     ModelID = "anthropic/claude-sonnet-4.6"
	Model__GMICloud__DeepSeek__V4__Flash                                                     ModelID = "deepseek-ai/DeepSeek-V4-Flash"
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	Model__GMICloud__GLM__5__1__Fp8__5_1                                                     ModelID = "zai-org/GLM-5.1-FP8"
	Model__GMICloud__GLM__5__Fp8__5                                                          ModelID = "zai-org/GLM-5-FP8"
	Model__GMICloud__Kimi__K2__6__2_6                                                        ModelID = "moonshotai/Kimi-K2.6"
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	Model__GitHubCopilot__Claude__Opus__41                                                   ModelID = "claude-opus-41"
	Model__GitHubCopilot__Claude__Opus__4_5                                                  ModelID = "claude-opus-4.5"
	Model__GitHubCopilot__Claude__Opus__4_6                                                  ModelID = "claude-opus-4.6"
	Model__GitHubCopilot__Claude__Opus__4_7                                                  ModelID = "claude-opus-4.7"
	Model__GitHubCopilot__Claude__Opus__4_8                                                  ModelID = "claude-opus-4.8"
	Model__GitHubCopilot__Claude__Sonnet__4                                                  ModelID = "claude-sonnet-4"
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	Model__GitHubCopilot__GPT__4_1                                                           ModelID = "gpt-4.1"
	Model__GitHubCopilot__GPT__4o                                                            ModelID = "gpt-4o"
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	Model__GitHubModels__DeepSeek__R1__Thinking                                              ModelID = "deepseek/deepseek-r1"
	Model__GitHubModels__DeepSeek__V3__0324                                                  ModelID = "deepseek/deepseek-v3-0324"
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	Model__GitHubModels__GPT__4o                                                             ModelID = "openai/gpt-4o"
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	Model__GitHubModels__Grok__3                                                             ModelID = "xai/grok-3"
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	Model__GitHubModels__Jais__30b__Chat                                                     ModelID = "core42/jais-30b-chat"
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	Model__HuggingFace__GLM__4_7                                                             ModelID = "zai-org/GLM-4.7"
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	Model__HuggingFace__GLM__5                                                               ModelID = "zai-org/GLM-5"
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	Model__IONet__GLM__4_6                                                                   ModelID = "zai-org/GLM-4.6"
	Model__IONet__GPT__Oss__120b                                                             ModelID = "openai/gpt-oss-120b"
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	Model__Inference__Gemma__3                                                               ModelID = "google/gemma-3"
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	Model__MergeGateway__Claude__Opus__4_6                                                   ModelID = "anthropic/claude-opus-4-6"
	Model__MergeGateway__Claude__Opus__4_7                                                   ModelID = "anthropic/claude-opus-4-7"
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	Model__MergeGateway__Devstral__2512                                                      ModelID = "mistral/devstral-2512"
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	Model__MergeGateway__GPT__4o                                                             ModelID = "openai/gpt-4o"
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	Model__MergeGateway__GPT__4o__20240806                                                   ModelID = "openai/gpt-4o-2024-08-06"
	Model__MergeGateway__GPT__4o__20241120                                                   ModelID = "openai/gpt-4o-2024-11-20"
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	Model__MergeGateway__O1__1                                                               ModelID = "openai/o1"
	Model__MergeGateway__O3__3                                                               ModelID = "openai/o3"
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	Model__Mistral__Devstral__Small__2507                                                    ModelID = "devstral-small-2507"
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	Model__Mistral__Mistral__Large__2512                                                     ModelID = "mistral-large-2512"
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	Model__Mistral__Mistral__Small__2603                                                     ModelID = "mistral-small-2603"
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	Model__NanoGPT__Claude__Opus__4_5__20251101                                              ModelID = "claude-opus-4-5-20251101"
	Model__NanoGPT__Claude__Opus__4_6                                                        ModelID = "anthropic/claude-opus-4.6"
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	Model__NanoGPT__Claude__Opus__4__1__Thinking__32000__4_1__Thinking                       ModelID = "claude-opus-4-1-thinking:32000"
	Model__NanoGPT__Claude__Opus__4__1__Thinking__32768__4_1__Thinking                       ModelID = "claude-opus-4-1-thinking:32768"
	Model__NanoGPT__Claude__Opus__4__1__Thinking__8192__4_1__Thinking                        ModelID = "claude-opus-4-1-thinking:8192"
	Model__NanoGPT__Claude__Opus__4__20250514                                                ModelID = "claude-opus-4-20250514"
	Model__NanoGPT__Claude__Opus__4__5__20251101__Thinking__4_5                              ModelID = "claude-opus-4-5-20251101:thinking"
	Model__NanoGPT__Claude__Opus__4__6__Thinking                                             ModelID = "anthropic/claude-opus-4.6:thinking"
	Model__NanoGPT__Claude__Opus__4__6__Thinking__Low                                        ModelID = "anthropic/claude-opus-4.6:thinking:low"
	Model__NanoGPT__Claude__Opus__4__6__Thinking__Max                                        ModelID = "anthropic/claude-opus-4.6:thinking:max"
	Model__NanoGPT__Claude__Opus__4__6__Thinking__Medium                                     ModelID = "anthropic/claude-opus-4.6:thinking:medium"
	Model__NanoGPT__Claude__Opus__4__Thinking                                                ModelID = "claude-opus-4-thinking"
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	Model__NanoGPT__Claude__Sonnet__4_5__20250929                                            ModelID = "claude-sonnet-4-5-20250929"
	Model__NanoGPT__Claude__Sonnet__4_5__Thinking__20250929                                  ModelID = "claude-sonnet-4-5-20250929-thinking"
	Model__NanoGPT__Claude__Sonnet__4_6                                                      ModelID = "anthropic/claude-sonnet-4.6"
	Model__NanoGPT__Claude__Sonnet__4__20250514                                              ModelID = "claude-sonnet-4-20250514"
	Model__NanoGPT__Claude__Sonnet__4__6__Thinking                                           ModelID = "anthropic/claude-sonnet-4.6:thinking"
	Model__NanoGPT__Claude__Sonnet__4__Thinking                                              ModelID = "claude-sonnet-4-thinking"
	Model__NanoGPT__Claude__Sonnet__4__Thinking__1024__4__Thinking                           ModelID = "claude-sonnet-4-thinking:1024"
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	Model__NanoGPT__Claude__Sonnet__4__Thinking__8192__4__Thinking                           ModelID = "claude-sonnet-4-thinking:8192"
	Model__NanoGPT__Codestral__2508                                                          ModelID = "mistralai/codestral-2508"
	Model__NanoGPT__Cogito__V1__Preview__Qwen__32B                                           ModelID = "deepcogito/cogito-v1-preview-qwen-32B"
	Model__NanoGPT__Cogito__V2__1__671b                                                      ModelID = "deepcogito/cogito-v2.1-671b"
	Model__NanoGPT__Command__A__Reasoning__Reasoning__20250822                               ModelID = "command-a-reasoning-08-2025"
	Model__NanoGPT__Command__R                                                               ModelID = "cohere/command-r"
	Model__NanoGPT__Command__R__Plus__20240830                                               ModelID = "cohere/command-r-plus-08-2024"
	Model__NanoGPT__Cydonia__24B__V2                                                         ModelID = "TheDrummer 2/Cydonia-24B-v2"
	Model__NanoGPT__Cydonia__24B__V4                                                         ModelID = "TheDrummer 2/Cydonia-24B-v4"
	Model__NanoGPT__Cydonia__24B__V4__1                                                      ModelID = "TheDrummer 2/Cydonia-24B-v4.1"
	Model__NanoGPT__Cydonia__24B__V4__3                                                      ModelID = "TheDrummer 2/Cydonia-24B-v4.3"
	Model__NanoGPT__DeepSeek__Chat                                                           ModelID = "deepseek-chat"
	Model__NanoGPT__DeepSeek__Chat__Cheaper                                                  ModelID = "deepseek-chat-cheaper"
	Model__NanoGPT__DeepSeek__Math__V2                                                       ModelID = "deepseek-math-v2"
	Model__NanoGPT__DeepSeek__Prover__V2__671b                                               ModelID = "deepseek/deepseek-prover-v2-671b"
	Model__NanoGPT__DeepSeek__R1                                                             ModelID = "deepseek-r1"
	Model__NanoGPT__DeepSeek__R1__0528_1                                                     ModelID = "TEE/deepseek-r1-0528"
	Model__NanoGPT__DeepSeek__R1__0528_2                                                     ModelID = "deepseek-ai/DeepSeek-R1-0528"
	Model__NanoGPT__DeepSeek__R1__Distill__Llama__70B__Abliterated                           ModelID = "huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated"
	Model__NanoGPT__DeepSeek__R1__Distill__Qwen__32B__Abliterated                            ModelID = "huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated"
	Model__NanoGPT__DeepSeek__R1__Sambanova                                                  ModelID = "deepseek-r1-sambanova"
	Model__NanoGPT__DeepSeek__Reasoner                                                       ModelID = "deepseek-reasoner"
	Model__NanoGPT__DeepSeek__Reasoner__Cheaper                                              ModelID = "deepseek-reasoner-cheaper"
	Model__NanoGPT__DeepSeek__Tng__R1t2__Chimera                                             ModelID = "tngtech/DeepSeek-TNG-R1T2-Chimera"
	Model__NanoGPT__DeepSeek__V3__0324                                                       ModelID = "deepseek-v3-0324"
	Model__NanoGPT__DeepSeek__V3__1_1                                                        ModelID = "TEE/deepseek-v3.1"
	Model__NanoGPT__DeepSeek__V3__1_2                                                        ModelID = "deepseek-ai/DeepSeek-V3.1"
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	Model__NanoGPT__DeepSeek__V3__2_1                                                        ModelID = "TEE/deepseek-v3.2"
	Model__NanoGPT__DeepSeek__V3__2_2                                                        ModelID = "deepseek/deepseek-v3.2"
	Model__NanoGPT__DeepSeek__V3__2__Exp                                                     ModelID = "deepseek-ai/deepseek-v3.2-exp"
	Model__NanoGPT__DeepSeek__V3__2__Exp__Thinking                                           ModelID = "deepseek-ai/deepseek-v3.2-exp-thinking"
	Model__NanoGPT__DeepSeek__V3__2__Speciale                                                ModelID = "deepseek/deepseek-v3.2-speciale"
	Model__NanoGPT__DeepSeek__V3__2__Thinking                                                ModelID = "deepseek/deepseek-v3.2:thinking"
	Model__NanoGPT__Deepclaude                                                               ModelID = "deepclaude"
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	Model__NanoGPT__Devstral__2__123b__Instruct__2512__2__Instruct                           ModelID = "mistralai/devstral-2-123b-instruct-2512"
	Model__NanoGPT__Devstral__Small__2505                                                    ModelID = "mistralai/Devstral-Small-2505"
	Model__NanoGPT__Dmind__1                                                                 ModelID = "dmind/dmind-1"
	Model__NanoGPT__Dmind__1__Mini                                                           ModelID = "dmind/dmind-1-mini"
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	Model__NanoGPT__Dracarys__72B__Instruct                                                  ModelID = "abacusai/Dracarys-72B-Instruct"
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	Model__NanoGPT__Ernie__X1__1__Preview                                                    ModelID = "ernie-x1.1-preview"
	Model__NanoGPT__Ernie__X1__32k                                                           ModelID = "ernie-x1-32k"
	Model__NanoGPT__Ernie__X1__32k__Preview                                                  ModelID = "ernie-x1-32k-preview"
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	Model__NanoGPT__Exa__Answer                                                              ModelID = "exa-answer"
	Model__NanoGPT__Exa__Research                                                            ModelID = "exa-research"
	Model__NanoGPT__Exa__Research__Pro                                                       ModelID = "exa-research-pro"
	Model__NanoGPT__Fastgpt                                                                  ModelID = "fastgpt"
	Model__NanoGPT__GLM__4                                                                   ModelID = "glm-4"
	Model__NanoGPT__GLM__4_6_1                                                               ModelID = "TEE/glm-4.6"
	Model__NanoGPT__GLM__4_6_2                                                               ModelID = "z-ai/glm-4.6"
	Model__NanoGPT__GLM__4_7_1                                                               ModelID = "TEE/glm-4.7"
	Model__NanoGPT__GLM__4_7_2                                                               ModelID = "zai-org/glm-4.7"
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	Model__NanoGPT__GLM__4__32B__0414__4                                                     ModelID = "THUDM/GLM-4-32B-0414"
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	Model__NanoGPT__GLM__4__5v__4_5                                                          ModelID = "z-ai/glm-4.5v"
	Model__NanoGPT__GLM__4__5v__Thinking                                                     ModelID = "z-ai/glm-4.5v:thinking"
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	Model__NanoGPT__GLM__4__6__Thinking                                                      ModelID = "z-ai/glm-4.6:thinking"
	Model__NanoGPT__GLM__4__7__Flash__4_7_1                                                  ModelID = "TEE/glm-4.7-flash"
	Model__NanoGPT__GLM__4__7__Flash__4_7_2                                                  ModelID = "zai-org/glm-4.7-flash"
	Model__NanoGPT__GLM__4__9B__0414__4                                                      ModelID = "THUDM/GLM-4-9B-0414"
	Model__NanoGPT__GLM__4__Air__0111__4                                                     ModelID = "glm-4-air-0111"
	Model__NanoGPT__GLM__4__Air__4                                                           ModelID = "glm-4-air"
	Model__NanoGPT__GLM__4__Airx__4                                                          ModelID = "glm-4-airx"
	Model__NanoGPT__GLM__4__Flash__4                                                         ModelID = "glm-4-flash"
	Model__NanoGPT__GLM__4__Long__4                                                          ModelID = "glm-4-long"
	Model__NanoGPT__GLM__4__Plus__0111__4                                                    ModelID = "glm-4-plus-0111"
	Model__NanoGPT__GLM__4__Plus__4                                                          ModelID = "glm-4-plus"
	Model__NanoGPT__GLM__5_1_1                                                               ModelID = "TEE/glm-5"
	Model__NanoGPT__GLM__5_1_2                                                               ModelID = "zai-org/glm-5.1"
	Model__NanoGPT__GLM__5_2                                                                 ModelID = "zai-org/glm-5"
	Model__NanoGPT__GLM__5__1__Thinking                                                      ModelID = "zai-org/glm-5.1:thinking"
	Model__NanoGPT__GLM__5__Thinking                                                         ModelID = "zai-org/glm-5:thinking"
	Model__NanoGPT__GLM__Z1__32B__0414                                                       ModelID = "THUDM/GLM-Z1-32B-0414"
	Model__NanoGPT__GLM__Z1__9B__0414                                                        ModelID = "THUDM/GLM-Z1-9B-0414"
	Model__NanoGPT__GLM__Z1__Air                                                             ModelID = "glm-z1-air"
	Model__NanoGPT__GLM__Z1__Airx                                                            ModelID = "glm-z1-airx"
	Model__NanoGPT__GLM__Z1__Rumination__32B__0414                                           ModelID = "THUDM/GLM-Z1-Rumination-32B-0414"
	Model__NanoGPT__GLM__Zero__Preview                                                       ModelID = "glm-zero-preview"
	Model__NanoGPT__GPT__3_5__Turbo                                                          ModelID = "openai/gpt-3.5-turbo"
	Model__NanoGPT__GPT__4_1                                                                 ModelID = "openai/gpt-4.1"
	Model__NanoGPT__GPT__4__1__Mini__4_1                                                     ModelID = "openai/gpt-4.1-mini"
	Model__NanoGPT__GPT__4__1__Nano__4_1                                                     ModelID = "openai/gpt-4.1-nano"
	Model__NanoGPT__GPT__4__Turbo                                                            ModelID = "openai/gpt-4-turbo"
	Model__NanoGPT__GPT__4__TurboPreview                                                     ModelID = "openai/gpt-4-turbo-preview"
	Model__NanoGPT__GPT__4o                                                                  ModelID = "openai/gpt-4o"
	Model__NanoGPT__GPT__4o__20240806                                                        ModelID = "openai/gpt-4o-2024-08-06"
	Model__NanoGPT__GPT__4o__20241120                                                        ModelID = "openai/gpt-4o-2024-11-20"
	Model__NanoGPT__GPT__4o__Mini                                                            ModelID = "openai/gpt-4o-mini"
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	Model__NanoGPT__GPT__4o__Search__Preview                                                 ModelID = "openai/gpt-4o-search-preview"
	Model__NanoGPT__GPT__5                                                                   ModelID = "openai/gpt-5"
	Model__NanoGPT__GPT__5_1                                                                 ModelID = "openai/gpt-5.1"
	Model__NanoGPT__GPT__5_1__20251113                                                       ModelID = "openai/gpt-5.1-2025-11-13"
	Model__NanoGPT__GPT__5_1__Chat                                                           ModelID = "openai/gpt-5.1-chat"
	Model__NanoGPT__GPT__5_1__ChatLatest                                                     ModelID = "openai/gpt-5.1-chat-latest"
	Model__NanoGPT__GPT__5_2                                                                 ModelID = "openai/gpt-5.2"
	Model__NanoGPT__GPT__5_2__Chat                                                           ModelID = "openai/gpt-5.2-chat"
	Model__NanoGPT__GPT__5__1__Codex__5_1                                                    ModelID = "openai/gpt-5.1-codex"
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	Model__NanoGPT__GPT__5__2__Codex__5_2                                                    ModelID = "openai/gpt-5.2-codex"
	Model__NanoGPT__GPT__5__2__Pro__5_2                                                      ModelID = "openai/gpt-5.2-pro"
	Model__NanoGPT__GPT__5__ChatLatest                                                       ModelID = "openai/gpt-5-chat-latest"
	Model__NanoGPT__GPT__5__Codex__5                                                         ModelID = "openai/gpt-5-codex"
	Model__NanoGPT__GPT__5__Mini__5                                                          ModelID = "openai/gpt-5-mini"
	Model__NanoGPT__GPT__5__Nano__5                                                          ModelID = "openai/gpt-5-nano"
	Model__NanoGPT__GPT__5__Pro__5                                                           ModelID = "openai/gpt-5-pro"
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	Model__NanoGPT__Gemini__Exp__1206                                                        ModelID = "gemini-exp-1206"
	Model__NanoGPT__Gemini__Flash__1_5                                                       ModelID = "google/gemini-flash-1.5"
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	Model__NanoGPT__Gemma__3__27b__It                                                        ModelID = "unsloth/gemma-3-27b-it"
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	Model__NanoGPT__Gemma__3__4b__It                                                         ModelID = "unsloth/gemma-3-4b-it"
	Model__NanoGPT__Grayline__Qwen3__8B                                                      ModelID = "soob3123/GrayLine-Qwen3-8B"
	Model__NanoGPT__Grok__3__Beta__3                                                         ModelID = "grok-3-beta"
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	Model__NanoGPT__Hidream                                                                  ModelID = "hidream"
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	Model__NanoGPT__Jamba__Large                                                             ModelID = "jamba-large"
	Model__NanoGPT__Jamba__Large__1_6                                                        ModelID = "jamba-large-1.6"
	Model__NanoGPT__Jamba__Large__1_7                                                        ModelID = "jamba-large-1.7"
	Model__NanoGPT__Jamba__Mini                                                              ModelID = "jamba-mini"
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	Model__NanoGPT__K2__2__ThinkingThink                                                     ModelID = "LLM360/K2-Think"
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	Model__NanoGPT__Kimi__ThinkingPreview                                                    ModelID = "kimi-thinking-preview"
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	Model__NanoGPT__Lumimaid__V0__2__70B                                                     ModelID = "NeverSleep/Lumimaid-v0.2-70B"
	Model__NanoGPT__Magidonia__24B__V4__3                                                    ModelID = "TheDrummer 2/Magidonia-24B-v4.3"
	Model__NanoGPT__Magistral__Small__2506                                                   ModelID = "Magistral-Small-2506"
	Model__NanoGPT__Magnum__V2__72b                                                          ModelID = "anthracite-org/magnum-v2-72b"
	Model__NanoGPT__Magnum__V4__72b                                                          ModelID = "anthracite-org/magnum-v4-72b"
	Model__NanoGPT__Mai__Ds__R1__Fp8                                                         ModelID = "microsoft/MAI-DS-R1-FP8"
	Model__NanoGPT__Manta__Flash__1__0                                                       ModelID = "meganova-ai/manta-flash-1.0"
	Model__NanoGPT__Manta__Mini__1__0                                                        ModelID = "meganova-ai/manta-mini-1.0"
	Model__NanoGPT__Manta__Pro__1__0                                                         ModelID = "meganova-ai/manta-pro-1.0"
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	Model__NanoGPT__Mimo__V2__Flash                                                          ModelID = "xiaomi/mimo-v2-flash"
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	Model__NanoGPT__Mimo__V2__Flash__Thinking                                                ModelID = "xiaomi/mimo-v2-flash-thinking"
	Model__NanoGPT__Mimo__V2__Flash__ThinkingOriginal                                        ModelID = "xiaomi/mimo-v2-flash-thinking-original"
	Model__NanoGPT__MiniMax__01                                                              ModelID = "minimax/minimax-01"
	Model__NanoGPT__MiniMax__M1__1                                                           ModelID = "MiniMax-M1"
	Model__NanoGPT__MiniMax__M1__80k__1                                                      ModelID = "MiniMaxAI/MiniMax-M1-80k"
	Model__NanoGPT__MiniMax__M2__1__2_1_1                                                    ModelID = "TEE/minimax-m2.1"
	Model__NanoGPT__MiniMax__M2__1__2_1_2                                                    ModelID = "minimax/minimax-m2.1"
	Model__NanoGPT__MiniMax__M2__2                                                           ModelID = "MiniMax-M2"
	Model__NanoGPT__MiniMax__M2__5__2_5                                                      ModelID = "minimax/minimax-m2.5"
	Model__NanoGPT__MiniMax__M2__7__2_7                                                      ModelID = "minimax/minimax-m2.7"
	Model__NanoGPT__MiniMax__M2__Her                                                         ModelID = "minimax/minimax-m2-her"
	Model__NanoGPT__Ministral__14b__2512                                                     ModelID = "mistralai/ministral-14b-2512"
	Model__NanoGPT__Ministral__14b__Instruct__2512__Instruct                                 ModelID = "mistralai/ministral-14b-instruct-2512"
	Model__NanoGPT__Ministral__3b__2512                                                      ModelID = "mistralai/ministral-3b-2512"
	Model__NanoGPT__Ministral__8b__2512                                                      ModelID = "mistralai/ministral-8b-2512"
	Model__NanoGPT__Mirothinker__V1__5__235b                                                 ModelID = "miromind-ai/mirothinker-v1.5-235b"
	Model__NanoGPT__Mistral__7b__Instruct                                                    ModelID = "mistralai/mistral-7b-instruct"
	Model__NanoGPT__Mistral__Large                                                           ModelID = "mistralai/mistral-large"
	Model__NanoGPT__Mistral__Large__3__675b__Instruct__2512__3__Instruct                     ModelID = "mistralai/mistral-large-3-675b-instruct-2512"
	Model__NanoGPT__Mistral__Medium__3                                                       ModelID = "mistralai/mistral-medium-3"
	Model__NanoGPT__Mistral__Medium__3_1                                                     ModelID = "mistralai/mistral-medium-3.1"
	Model__NanoGPT__Mistral__Nemo__12B__Instruct__2407__Instruct                             ModelID = "Mistral-Nemo-12B-Instruct-2407"
	Model__NanoGPT__Mistral__Nemo__Instruct__2407__Instruct                                  ModelID = "mistralai/Mistral-Nemo-Instruct-2407"
	Model__NanoGPT__Mistral__Saba                                                            ModelID = "mistralai/mistral-saba"
	Model__NanoGPT__Mistral__Small__31__24b__31__Instruct                                    ModelID = "mistral-small-31-24b-instruct"
	Model__NanoGPT__Mistral__Small__3__2__24B__Instruct__2506__Instruct                      ModelID = "chutesai/Mistral-Small-3.2-24B-Instruct-2506"
	Model__NanoGPT__Mistral__Small__Creative                                                 ModelID = "mistralai/mistral-small-creative"
	Model__NanoGPT__Mistral__Tiny                                                            ModelID = "mistralai/mistral-tiny"
	Model__NanoGPT__Mixtral__8x22b__Instruct__V0__1__0_1__Instruct                           ModelID = "mistralai/mixtral-8x22b-instruct-v0.1"
	Model__NanoGPT__Mixtral__8x7b__Instruct__V0__1__0_1__Instruct                            ModelID = "mistralai/mixtral-8x7b-instruct-v0.1"
	Model__NanoGPT__Mn__12B__Inferor__V0__0                                                  ModelID = "Infermatic/MN-12B-Inferor-v0.0"
	Model__NanoGPT__Mn__12B__Mag__Mell__R1                                                   ModelID = "inflatebot/MN-12B-Mag-Mell-R1"
	Model__NanoGPT__Mn__Loosecannon__12B__V1                                                 ModelID = "GalrionSoftworks/MN-LooseCannon-12B-v1"
	Model__NanoGPT__Molmo__2__8b                                                             ModelID = "allenai/molmo-2-8b"
	Model__NanoGPT__Ms3__2__24B__Magnum__Diamond                                             ModelID = "Doctor-Shotgun/MS3.2-24B-Magnum-Diamond"
	Model__NanoGPT__Ms3__2__The__Omega__Directive__24B__Unslop__V2__0                        ModelID = "ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0"
	Model__NanoGPT__Mythomax__L2__13b                                                        ModelID = "Gryphe/MythoMax-L2-13b"
	Model__NanoGPT__Nemomix__Unleashed__12B                                                  ModelID = "MarinaraSpaghetti/NemoMix-Unleashed-12B"
	Model__NanoGPT__Nemotron__3__Nano__30b__A3b__3                                           ModelID = "nvidia/nemotron-3-nano-30b-a3b"
	Model__NanoGPT__Neuraldaredevil__8B__Abliterated                                         ModelID = "mlabonne/NeuralDaredevil-8B-abliterated"
	Model__NanoGPT__Nova__2__Lite__V1__2                                                     ModelID = "amazon/nova-2-lite-v1"
	Model__NanoGPT__Nova__Lite__V1                                                           ModelID = "amazon/nova-lite-v1"
	Model__NanoGPT__Nova__Micro__V1                                                          ModelID = "amazon/nova-micro-v1"
	Model__NanoGPT__Nova__Pro__V1                                                            ModelID = "amazon/nova-pro-v1"
	Model__NanoGPT__Nvidia__Nemotron__Nano__9b__V2                                           ModelID = "nvidia/nvidia-nemotron-nano-9b-v2"
	Model__NanoGPT__O1__1                                                                    ModelID = "openai/o1"
	Model__NanoGPT__O1__1__Preview                                                           ModelID = "openai/o1-preview"
	Model__NanoGPT__O1__1__Pro                                                               ModelID = "openai/o1-pro"
	Model__NanoGPT__O3__3                                                                    ModelID = "openai/o3"
	Model__NanoGPT__O3__3__Mini                                                              ModelID = "openai/o3-mini"
	Model__NanoGPT__O3__Deep__Research__3__Deep_Research                                     ModelID = "openai/o3-deep-research"
	Model__NanoGPT__O3__Mini__High__3__Mini                                                  ModelID = "openai/o3-mini-high"
	Model__NanoGPT__O3__Mini__Low__3__Mini                                                   ModelID = "openai/o3-mini-low"
	Model__NanoGPT__O3__Pro__3__Pro__20250610                                                ModelID = "openai/o3-pro-2025-06-10"
	Model__NanoGPT__O4__4__Mini                                                              ModelID = "openai/o4-mini"
	Model__NanoGPT__O4__Mini__Deep__Research__4__Mini                                        ModelID = "openai/o4-mini-deep-research"
	Model__NanoGPT__O4__Mini__High__4__Mini                                                  ModelID = "openai/o4-mini-high"
	Model__NanoGPT__OLMo__3__1__32b__3_1__Instruct                                           ModelID = "allenai/olmo-3.1-32b-instruct"
	Model__NanoGPT__OLMo__3__1__32b__3_1__Think                                              ModelID = "allenai/olmo-3.1-32b-think"
	Model__NanoGPT__OLMo__3__32b__3__Think                                                   ModelID = "allenai/olmo-3-32b-think"
	Model__NanoGPT__Openreasoning__Nemotron__32B                                             ModelID = "pamanseau/OpenReasoning-Nemotron-32B"
	Model__NanoGPT__Phi__4__Mini__4__Instruct                                                ModelID = "phi-4-mini-instruct"
	Model__NanoGPT__Phi__4__MultimodalInstruct                                               ModelID = "phi-4-multimodal-instruct"
	Model__NanoGPT__Qvq__Max                                                                 ModelID = "qvq-max"
	Model__NanoGPT__Qwen25__Vl__72b__25__Instruct                                            ModelID = "qwen25-vl-72b-instruct"
	Model__NanoGPT__Qwen2__5__32B__Eva__V0__2                                                ModelID = "Qwen2.5-32B-EVA-v0.2"
	Model__NanoGPT__Qwen2__5__32B__Instruct__Abliterated__2_5__Instruct                      ModelID = "huihui-ai/Qwen2.5-32B-Instruct-abliterated"
	Model__NanoGPT__Qwen2__5__Vl__72b__2_5__Instruct                                         ModelID = "TEE/qwen2.5-vl-72b-instruct"
	Model__NanoGPT__Qwen3__30b__A3b__Instruct__2507__3__Instruct_1                           ModelID = "TEE/qwen3-30b-a3b-instruct-2507"
	Model__NanoGPT__Qwen3__30b__A3b__Instruct__2507__3__Instruct_2                           ModelID = "qwen3-30b-a3b-instruct-2507"
	Model__NanoGPT__Qwen3__5__397b__A17b__3_5_1                                              ModelID = "TEE/qwen3.5-397b-a17b"
	Model__NanoGPT__Qwen3__5__397b__A17b__3_5_2                                              ModelID = "qwen/qwen3.5-397b-a17b"
	Model__NanoGPT__Qwen3__6__35B__A3b__3_6                                                  ModelID = "qwen/Qwen3.6-35B-A3B"
	Model__NanoGPT__Qwen3__6__35B__A3b__Thinking__3_6                                        ModelID = "qwen/Qwen3.6-35B-A3B:thinking"
	Model__NanoGPT__Qwen3__6__Flash__3_6                                                     ModelID = "alibaba/qwen3.6-flash"
	Model__NanoGPT__Qwen3__6__Max__3_6__Preview                                              ModelID = "qwen3.6-max-preview"
	Model__NanoGPT__Qwen3__Coder__3                                                          ModelID = "TEE/qwen3-coder"
	Model__NanoGPT__Qwen3__Coder__30b__A3b__3__Instruct                                      ModelID = "qwen3-coder-30b-a3b-instruct"
	Model__NanoGPT__Qwen3__Max__3__20260123                                                  ModelID = "qwen3-max-2026-01-23"
	Model__NanoGPT__Qwen3__Vl__235b__A22b__3__InstructOriginal                               ModelID = "qwen3-vl-235b-a22b-instruct-original"
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	Model__NanoGPT__Qwen__3__6__Plus__3_6                                                    ModelID = "qwen-3.6-plus"
	Model__NanoGPT__Qwen__Image                                                              ModelID = "qwen-image"
	Model__NanoGPT__Qwen__Long                                                               ModelID = "qwen-long"
	Model__NanoGPT__Qwen__Max                                                                ModelID = "qwen-max"
	Model__NanoGPT__Qwen__Plus                                                               ModelID = "qwen-plus"
	Model__NanoGPT__Qwen__Turbo                                                              ModelID = "qwen-turbo"
	Model__NanoGPT__Qwenlong__L1__32B                                                        ModelID = "Tongyi-Zhiwen/QwenLong-L1-32B"
	Model__NanoGPT__Qwerky__72B                                                              ModelID = "featherless-ai/Qwerky-72B"
	Model__NanoGPT__Qwq__32B__Arliai__Rpr__V1                                                ModelID = "QwQ-32B-ArliAI-RpR-v1"
	Model__NanoGPT__Qwq__32b                                                                 ModelID = "qwq-32b"
	Model__NanoGPT__Remm__Slerp__L2__13b                                                     ModelID = "undi95/remm-slerp-l2-13b"
	Model__NanoGPT__Rnj__1__Instruct                                                         ModelID = "essentialai/rnj-1-instruct"
	Model__NanoGPT__Rocinante__12B__V1__1                                                    ModelID = "TheDrummer 2/Rocinante-12B-v1.1"
	Model__NanoGPT__Sarvan__Medium                                                           ModelID = "sarvan-medium"
	Model__NanoGPT__Shisa__V2__1__Llama3__3__70b                                             ModelID = "shisa-ai/shisa-v2.1-llama3.3-70b"
	Model__NanoGPT__Shisa__V2__Llama3__3__70b                                                ModelID = "shisa-ai/shisa-v2-llama3.3-70b"
	Model__NanoGPT__Skyfall__36b__V2                                                         ModelID = "TheDrummer 2/skyfall-36b-v2"
	Model__NanoGPT__Sonar                                                                    ModelID = "sonar"
	Model__NanoGPT__Sonar__Deep__Research                                                    ModelID = "sonar-deep-research"
	Model__NanoGPT__Sonar__Pro                                                               ModelID = "sonar-pro"
	Model__NanoGPT__Sonar__Reasoning__Pro                                                    ModelID = "sonar-reasoning-pro"
	Model__NanoGPT__Sorcererlm__8x22b                                                        ModelID = "raifle/sorcererlm-8x22b"
	Model__NanoGPT__Starcannon__Unleashed__12B__V1__0                                        ModelID = "VongolaChouko/Starcannon-Unleashed-12B-v1.0"
	Model__NanoGPT__Step__2__16k__Exp__2                                                     ModelID = "step-2-16k-exp"
	Model__NanoGPT__Step__2__Mini__2                                                         ModelID = "step-2-mini"
	Model__NanoGPT__Step__3                                                                  ModelID = "step-3"
	Model__NanoGPT__Step__3__5__Flash__3_5                                                   ModelID = "stepfun-ai/step-3.5-flash"
	Model__NanoGPT__Step__3__5__Flash__Thinking__3_5                                         ModelID = "stepfun-ai/step-3.5-flash:thinking"
	Model__NanoGPT__Step__R1__V__Mini                                                        ModelID = "step-r1-v-mini"
	Model__NanoGPT__Study__GPT__ChatGPT__4o__Latest                                          ModelID = "study_gpt-chatgpt-4o-latest"
	Model__NanoGPT__The__Omega__Abomination__L__70B__V1__0                                   ModelID = "ReadyArt/The-Omega-Abomination-L-70B-v1.0"
	Model__NanoGPT__Tng__R1t__Chimera                                                        ModelID = "tngtech/tng-r1t-chimera"
	Model__NanoGPT__Tongyi__Deepresearch__30B__A3b                                           ModelID = "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B"
	Model__NanoGPT__Trinity__Large                                                           ModelID = "arcee-ai/trinity-large"
	Model__NanoGPT__Trinity__Mini                                                            ModelID = "arcee-ai/trinity-mini"
	Model__NanoGPT__Universal__Summarizer                                                    ModelID = "universal-summarizer"
	Model__NanoGPT__Unslopnemo__12B__V4__1                                                   ModelID = "TheDrummer 2/UnslopNemo-12B-v4.1"
	Model__NanoGPT__V0__1__0__Md__1_0                                                        ModelID = "v0-1.0-md"
	Model__NanoGPT__V0__1__5__Lg__1_5                                                        ModelID = "v0-1.5-lg"
	Model__NanoGPT__V0__1__5__Md__1_5                                                        ModelID = "v0-1.5-md"
	Model__NanoGPT__Veiled__Calla__12B                                                       ModelID = "soob3123/Veiled-Calla-12B"
	Model__NanoGPT__Venice__Uncensored                                                       ModelID = "venice-uncensored"
	Model__NanoGPT__Venice__Uncensored__Web                                                  ModelID = "venice-uncensored:web"
	Model__NanoGPT__Wayfarer__Large__70B__Llama__3__3                                        ModelID = "LatitudeGames/Wayfarer-Large-70B-Llama-3.3"
	Model__NanoGPT__WizardLM__2__8x22b__2                                                    ModelID = "microsoft/wizardlm-2-8x22b"
	Model__NanoGPT__Yi__Large                                                                ModelID = "yi-large"
	Model__NanoGPT__Yi__Lightning                                                            ModelID = "yi-lightning"
	Model__NanoGPT__Yi__Medium__200k                                                         ModelID = "yi-medium-200k"
	Model__NanoGPT__Z__Image__Turbo                                                          ModelID = "z-image-turbo"
	Model__NearAI__Claude__Haiku__4_5                                                        ModelID = "anthropic/claude-haiku-4-5"
	Model__NearAI__Claude__Opus__4_6                                                         ModelID = "anthropic/claude-opus-4-6"
	Model__NearAI__Claude__Opus__4_7                                                         ModelID = "anthropic/claude-opus-4-7"
	Model__NearAI__Claude__Sonnet__4_5                                                       ModelID = "anthropic/claude-sonnet-4-5"
	Model__NearAI__Claude__Sonnet__4_6                                                       ModelID = "anthropic/claude-sonnet-4-6"
	Model__NearAI__Flux__2__Klein__4B                                                        ModelID = "black-forest-labs/FLUX.2-klein-4B"
	Model__NearAI__GLM__5__1__Fp8__5_1                                                       ModelID = "zai-org/GLM-5.1-FP8"
	Model__NearAI__GPT__4_1                                                                  ModelID = "openai/gpt-4.1"
	Model__NearAI__GPT__4__1__Mini__4_1                                                      ModelID = "openai/gpt-4.1-mini"
	Model__NearAI__GPT__4__1__Nano__4_1                                                      ModelID = "openai/gpt-4.1-nano"
	Model__NearAI__GPT__5                                                                    ModelID = "openai/gpt-5"
	Model__NearAI__GPT__5_1                                                                  ModelID = "openai/gpt-5.1"
	Model__NearAI__GPT__5_2                                                                  ModelID = "openai/gpt-5.2"
	Model__NearAI__GPT__5_4                                                                  ModelID = "openai/gpt-5.4"
	Model__NearAI__GPT__5_5                                                                  ModelID = "openai/gpt-5.5"
	Model__NearAI__GPT__5__4__Mini__5_4                                                      ModelID = "openai/gpt-5.4-mini"
	Model__NearAI__GPT__5__4__Nano__5_4                                                      ModelID = "openai/gpt-5.4-nano"
	Model__NearAI__GPT__5__Mini__5                                                           ModelID = "openai/gpt-5-mini"
	Model__NearAI__GPT__5__Nano__5                                                           ModelID = "openai/gpt-5-nano"
	Model__NearAI__GPT__Oss__120b                                                            ModelID = "openai/gpt-oss-120b"
	Model__NearAI__Gemini__2__5__Flash__2_5                                                  ModelID = "google/gemini-2.5-flash"
	Model__NearAI__Gemini__2__5__Flash__Lite__2_5                                            ModelID = "google/gemini-2.5-flash-lite"
	Model__NearAI__Gemini__2__5__Pro__2_5                                                    ModelID = "google/gemini-2.5-pro"
	Model__NearAI__Gemini__3__1__Flash__Lite__3_1                                            ModelID = "google/gemini-3.1-flash-lite"
	Model__NearAI__Gemini__3__5__Flash__3_5                                                  ModelID = "google/gemini-3.5-flash"
	Model__NearAI__Gemini__3__Pro__3                                                         ModelID = "google/gemini-3-pro"
	Model__NearAI__Gemma__4__31B__It__4                                                      ModelID = "google/gemma-4-31B-it"
	Model__NearAI__O3__3                                                                     ModelID = "openai/o3"
	Model__NearAI__O3__3__Mini                                                               ModelID = "openai/o3-mini"
	Model__NearAI__O4__4__Mini                                                               ModelID = "openai/o4-mini"
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	Model__NearAI__Qwen3__Vl__30B__A3b__3__Instruct                                          ModelID = "Qwen/Qwen3-VL-30B-A3B-Instruct"
	Model__NearAI__Whisper__Large__V3__3                                                     ModelID = "openai/whisper-large-v3"
	Model__Nebius__DeepSeek__V3__2                                                           ModelID = "deepseek-ai/DeepSeek-V3.2"
	Model__Nebius__DeepSeek__V3__2__Fast                                                     ModelID = "deepseek-ai/DeepSeek-V3.2-fast"
	Model__Nebius__DeepSeek__V4__Pro__Thinking                                               ModelID = "deepseek-ai/DeepSeek-V4-Pro"
	Model__Nebius__GLM__5                                                                    ModelID = "zai-org/GLM-5"
	Model__Nebius__GPT__Oss__120b                                                            ModelID = "openai/gpt-oss-120b"
	Model__Nebius__GPT__Oss__120b__Fast                                                      ModelID = "openai/gpt-oss-120b-fast"
	Model__Nebius__Gemma__2__2b__It__2                                                       ModelID = "google/gemma-2-2b-it"
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	Model__Nebius__Hermes__4__405B__4                                                        ModelID = "NousResearch/Hermes-4-405B"
	Model__Nebius__Hermes__4__70B__4                                                         ModelID = "NousResearch/Hermes-4-70B"
	Model__Nebius__Intellect__3                                                              ModelID = "PrimeIntellect/INTELLECT-3"
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	Model__Nebius__Qwen3__32B__3                                                             ModelID = "Qwen/Qwen3-32B"
	Model__Nebius__Qwen3__5__397B__A17b__3_5                                                 ModelID = "Qwen/Qwen3.5-397B-A17B"
	Model__Nebius__Qwen3__5__397B__A17b__3_5__Fast                                           ModelID = "Qwen/Qwen3.5-397B-A17B-fast"
	Model__Nebius__Qwen3__Embedding__8B__3                                                   ModelID = "Qwen/Qwen3-Embedding-8B"
	Model__Nebius__Qwen3__Next__80B__A3b__3__Thinking                                        ModelID = "Qwen/Qwen3-Next-80B-A3B-Thinking"
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	Model__Neuralwatt__Devstral__Small__2__24B__Instruct__2512__2__Instruct                  ModelID = "mistralai/Devstral-Small-2-24B-Instruct-2512"
	Model__Neuralwatt__GLM__5_1__Fast                                                        ModelID = "glm-5.1-fast"
	Model__Neuralwatt__GLM__5__1__Fp8__5_1                                                   ModelID = "zai-org/GLM-5.1-FP8"
	Model__Neuralwatt__GLM__5__Fast                                                          ModelID = "glm-5-fast"
	Model__Neuralwatt__GPT__Oss__20b                                                         ModelID = "openai/gpt-oss-20b"
	Model__Neuralwatt__Kimi__K2__5__2_5                                                      ModelID = "moonshotai/Kimi-K2.5"
	Model__Neuralwatt__Kimi__K2__5__2_5__Fast                                                ModelID = "kimi-k2.5-fast"
	Model__Neuralwatt__Kimi__K2__6__2_6                                                      ModelID = "moonshotai/Kimi-K2.6"
	Model__Neuralwatt__Kimi__K2__6__2_6__Fast                                                ModelID = "kimi-k2.6-fast"
	Model__Neuralwatt__MiniMax__M2__5__2_5                                                   ModelID = "MiniMaxAI/MiniMax-M2.5"
	Model__Neuralwatt__Qwen3__5__397B__A17b__Fp8__3_5                                        ModelID = "Qwen/Qwen3.5-397B-A17B-FP8"
	Model__Neuralwatt__Qwen3__5__397b__3_5__Fast                                             ModelID = "qwen3.5-397b-fast"
	Model__Neuralwatt__Qwen3__6__35B__A3b__3_6                                               ModelID = "Qwen/Qwen3.6-35B-A3B"
	Model__Neuralwatt__Qwen3__6__35b__3_6__Fast                                              ModelID = "qwen3.6-35b-fast"
	Model__Nova__Nova__2__Lite__V1__2                                                        ModelID = "nova-2-lite-v1"
	Model__Nova__Nova__2__Pro__V1__2                                                         ModelID = "nova-2-pro-v1"
	Model__NovitaAI__Autoglm__Phone__9b__Multilingual                                        ModelID = "zai-org/autoglm-phone-9b-multilingual"
	Model__NovitaAI__Baichuan__M2__32b                                                       ModelID = "baichuan/baichuan-m2-32b"
	Model__NovitaAI__DeepSeek__Ocr                                                           ModelID = "deepseek/deepseek-ocr"
	Model__NovitaAI__DeepSeek__Ocr__2                                                        ModelID = "deepseek/deepseek-ocr-2"
	Model__NovitaAI__DeepSeek__Prover__V2__671b                                              ModelID = "deepseek/deepseek-prover-v2-671b"
	Model__NovitaAI__DeepSeek__R1__0528__Qwen3__8b                                           ModelID = "deepseek/deepseek-r1-0528-qwen3-8b"
	Model__NovitaAI__DeepSeek__R1__0528__Thinking                                            ModelID = "deepseek/deepseek-r1-0528"
	Model__NovitaAI__DeepSeek__R1__Distill__Llama__70b__Thinking                             ModelID = "deepseek/deepseek-r1-distill-llama-70b"
	Model__NovitaAI__DeepSeek__R1__Distill__Qwen__14b__Thinking                              ModelID = "deepseek/deepseek-r1-distill-qwen-14b"
	Model__NovitaAI__DeepSeek__R1__Distill__Qwen__32b__Thinking                              ModelID = "deepseek/deepseek-r1-distill-qwen-32b"
	Model__NovitaAI__DeepSeek__R1__Turbo                                                     ModelID = "deepseek/deepseek-r1-turbo"
	Model__NovitaAI__DeepSeek__V3__0324                                                      ModelID = "deepseek/deepseek-v3-0324"
	Model__NovitaAI__DeepSeek__V3__1                                                         ModelID = "deepseek/deepseek-v3.1"
	Model__NovitaAI__DeepSeek__V3__1__Terminus                                               ModelID = "deepseek/deepseek-v3.1-terminus"
	Model__NovitaAI__DeepSeek__V3__2                                                         ModelID = "deepseek/deepseek-v3.2"
	Model__NovitaAI__DeepSeek__V3__2__Exp                                                    ModelID = "deepseek/deepseek-v3.2-exp"
	Model__NovitaAI__DeepSeek__V3__Turbo                                                     ModelID = "deepseek/deepseek-v3-turbo"
	Model__NovitaAI__DeepSeek__V4__Flash                                                     ModelID = "deepseek/deepseek-v4-flash"
	Model__NovitaAI__DeepSeek__V4__Pro__Thinking                                             ModelID = "deepseek/deepseek-v4-pro"
	Model__NovitaAI__Ernie__4__5__21B__A3b__4_5                                              ModelID = "baidu/ernie-4.5-21B-a3b"
	Model__NovitaAI__Ernie__4__5__21B__A3b__4_5__Thinking                                    ModelID = "baidu/ernie-4.5-21B-a3b-thinking"
	Model__NovitaAI__Ernie__4__5__300b__A47b__Paddle__4_5                                    ModelID = "baidu/ernie-4.5-300b-a47b-paddle"
	Model__NovitaAI__Ernie__4__5__Vl__28b__A3b__4_5                                          ModelID = "baidu/ernie-4.5-vl-28b-a3b"
	Model__NovitaAI__Ernie__4__5__Vl__28b__A3b__4_5__Thinking                                ModelID = "baidu/ernie-4.5-vl-28b-a3b-thinking"
	Model__NovitaAI__Ernie__4__5__Vl__424b__A47b__4_5                                        ModelID = "baidu/ernie-4.5-vl-424b-a47b"
	Model__NovitaAI__GLM__4_5                                                                ModelID = "zai-org/glm-4.5"
	Model__NovitaAI__GLM__4_6                                                                ModelID = "zai-org/glm-4.6"
	Model__NovitaAI__GLM__4_7                                                                ModelID = "zai-org/glm-4.7"
	Model__NovitaAI__GLM__4__5__Air__4_5                                                     ModelID = "zai-org/glm-4.5-air"
	Model__NovitaAI__GLM__4__5v__4_5                                                         ModelID = "zai-org/glm-4.5v"
	Model__NovitaAI__GLM__4__6v__4_6                                                         ModelID = "zai-org/glm-4.6v"
	Model__NovitaAI__GLM__4__7__Flash__4_7                                                   ModelID = "zai-org/glm-4.7-flash"
	Model__NovitaAI__GLM__5                                                                  ModelID = "zai-org/glm-5"
	Model__NovitaAI__GLM__5_1                                                                ModelID = "zai-org/glm-5.1"
	Model__NovitaAI__GPT__Oss__120b                                                          ModelID = "openai/gpt-oss-120b"
	Model__NovitaAI__GPT__Oss__20b                                                           ModelID = "openai/gpt-oss-20b"
	Model__NovitaAI__Gemma__3__12b__It__3                                                    ModelID = "google/gemma-3-12b-it"
	Model__NovitaAI__Gemma__3__27b__It__3                                                    ModelID = "google/gemma-3-27b-it"
	Model__NovitaAI__Gemma__4__26b__A4b__It__4                                               ModelID = "google/gemma-4-26b-a4b-it"
	Model__NovitaAI__Gemma__4__31b__It__4                                                    ModelID = "google/gemma-4-31b-it"
	Model__NovitaAI__Hermes__2__Pro__Llama__3__8b__2                                         ModelID = "nousresearch/hermes-2-pro-llama-3-8b"
	Model__NovitaAI__Kat__Coder__Pro                                                         ModelID = "kwaipilot/kat-coder-pro"
	Model__NovitaAI__Kimi__K2__0905__2                                                       ModelID = "moonshotai/kimi-k2-0905"
	Model__NovitaAI__Kimi__K2__2__Instruct                                                   ModelID = "moonshotai/kimi-k2-instruct"
	Model__NovitaAI__Kimi__K2__2__Thinking                                                   ModelID = "moonshotai/kimi-k2-thinking"
	Model__NovitaAI__Kimi__K2__5__2_5                                                        ModelID = "moonshotai/kimi-k2.5"
	Model__NovitaAI__Kimi__K2__6__2_6                                                        ModelID = "moonshotai/kimi-k2.6"
	Model__NovitaAI__L31__70b__Euryale__V2__2                                                ModelID = "sao10K/l31-70b-euryale-v2.2"
	Model__NovitaAI__L3__70b__Euryale__V2__1                                                 ModelID = "sao10K/l3-70b-euryale-v2.1"
	Model__NovitaAI__L3__8B__Stheno__V3__2                                                   ModelID = "sao10K/L3-8B-stheno-v3.2"
	Model__NovitaAI__L3__8b__Lunaris                                                         ModelID = "sao10K/l3-8b-lunaris"
	Model__NovitaAI__Ling__2__6__1t__2_6                                                     ModelID = "inclusionai/ling-2.6-1t"
	Model__NovitaAI__Ling__2__6__Flash__2_6                                                  ModelID = "inclusionai/ling-2.6-flash"
	Model__NovitaAI__Llama__3__1__8b__3_1__Instruct                                          ModelID = "meta-llama/llama-3.1-8b-instruct"
	Model__NovitaAI__Llama__3__2__3b__3_2__Instruct                                          ModelID = "meta-llama/llama-3.2-3b-instruct"
	Model__NovitaAI__Llama__3__3__70b__3_3__Instruct                                         ModelID = "meta-llama/llama-3.3-70b-instruct"
	Model__NovitaAI__Llama__3__70b__3__Instruct                                              ModelID = "meta-llama/llama-3-70b-instruct"
	Model__NovitaAI__Llama__3__8b__3__Instruct                                               ModelID = "meta-llama/llama-3-8b-instruct"
	Model__NovitaAI__Llama__4__Maverick__17b__128e__Instruct__Fp8__4__Instruct               ModelID = "meta-llama/llama-4-maverick-17b-128e-instruct-fp8"
	Model__NovitaAI__Llama__4__Scout__17b__16e__4__Instruct                                  ModelID = "meta-llama/llama-4-scout-17b-16e-instruct"
	Model__NovitaAI__Mimo__V2__2__Pro                                                        ModelID = "xiaomimimo/mimo-v2-pro"
	Model__NovitaAI__Mimo__V2__5__2_5__Pro                                                   ModelID = "xiaomimimo/mimo-v2.5-pro"
	Model__NovitaAI__Mimo__V2__Flash                                                         ModelID = "xiaomimimo/mimo-v2-flash"
	Model__NovitaAI__MiniMax__M1__80k__1                                                     ModelID = "minimaxai/minimax-m1-80k"
	Model__NovitaAI__MiniMax__M2__1__2_1                                                     ModelID = "minimax/minimax-m2.1"
	Model__NovitaAI__MiniMax__M2__2                                                          ModelID = "minimax/minimax-m2"
	Model__NovitaAI__MiniMax__M2__5__2_5                                                     ModelID = "minimax/minimax-m2.5"
	Model__NovitaAI__MiniMax__M2__5__2_5__Highspeed                                          ModelID = "minimax/minimax-m2.5-highspeed"
	Model__NovitaAI__MiniMax__M2__7__2_7                                                     ModelID = "minimax/minimax-m2.7"
	Model__NovitaAI__MiniMax__M2__7__2_7__Highspeed                                          ModelID = "minimax/minimax-m2.7-highspeed"
	Model__NovitaAI__Mistral__Nemo                                                           ModelID = "mistralai/mistral-nemo"
	Model__NovitaAI__Mythomax__L2__13b                                                       ModelID = "gryphe/mythomax-l2-13b"
	Model__NovitaAI__Paddleocr__Vl                                                           ModelID = "paddlepaddle/paddleocr-vl"
	Model__NovitaAI__Qwen2__5__7b__2_5__Instruct                                             ModelID = "qwen/qwen2.5-7b-instruct"
	Model__NovitaAI__Qwen2__5__Vl__72b__2_5__Instruct                                        ModelID = "qwen/qwen2.5-vl-72b-instruct"
	Model__NovitaAI__Qwen3__235b__A22b__Fp8__3                                               ModelID = "qwen/qwen3-235b-a22b-fp8"
	Model__NovitaAI__Qwen3__235b__A22b__Instruct__2507__3__Instruct                          ModelID = "qwen/qwen3-235b-a22b-instruct-2507"
	Model__NovitaAI__Qwen3__235b__A22b__Thinking__2507__3__Thinking                          ModelID = "qwen/qwen3-235b-a22b-thinking-2507"
	Model__NovitaAI__Qwen3__30b__A3b__Fp8__3                                                 ModelID = "qwen/qwen3-30b-a3b-fp8"
	Model__NovitaAI__Qwen3__32b__Fp8__3                                                      ModelID = "qwen/qwen3-32b-fp8"
	Model__NovitaAI__Qwen3__4b__Fp8__3                                                       ModelID = "qwen/qwen3-4b-fp8"
	Model__NovitaAI__Qwen3__5__122b__A10b__3_5                                               ModelID = "qwen/qwen3.5-122b-a10b"
	Model__NovitaAI__Qwen3__5__27b__3_5                                                      ModelID = "qwen/qwen3.5-27b"
	Model__NovitaAI__Qwen3__5__35b__A3b__3_5                                                 ModelID = "qwen/qwen3.5-35b-a3b"
	Model__NovitaAI__Qwen3__5__397b__A17b__3_5                                               ModelID = "qwen/qwen3.5-397b-a17b"
	Model__NovitaAI__Qwen3__7__Max__3_7                                                      ModelID = "qwen/qwen3.7-max"
	Model__NovitaAI__Qwen3__8b__Fp8__3                                                       ModelID = "qwen/qwen3-8b-fp8"
	Model__NovitaAI__Qwen3__Coder__30b__A3b__3__Instruct                                     ModelID = "qwen/qwen3-coder-30b-a3b-instruct"
	Model__NovitaAI__Qwen3__Coder__480b__A35b__3__Instruct                                   ModelID = "qwen/qwen3-coder-480b-a35b-instruct"
	Model__NovitaAI__Qwen3__Coder__Next__3                                                   ModelID = "qwen/qwen3-coder-next"
	Model__NovitaAI__Qwen3__Max__3                                                           ModelID = "qwen/qwen3-max"
	Model__NovitaAI__Qwen3__Next__80b__A3b__3__Instruct                                      ModelID = "qwen/qwen3-next-80b-a3b-instruct"
	Model__NovitaAI__Qwen3__Next__80b__A3b__3__Thinking                                      ModelID = "qwen/qwen3-next-80b-a3b-thinking"
	Model__NovitaAI__Qwen3__Omni__30b__A3b__3__Instruct                                      ModelID = "qwen/qwen3-omni-30b-a3b-instruct"
	Model__NovitaAI__Qwen3__Omni__30b__A3b__3__Thinking                                      ModelID = "qwen/qwen3-omni-30b-a3b-thinking"
	Model__NovitaAI__Qwen3__Vl__235b__A22b__3__Instruct                                      ModelID = "qwen/qwen3-vl-235b-a22b-instruct"
	Model__NovitaAI__Qwen3__Vl__235b__A22b__3__Thinking                                      ModelID = "qwen/qwen3-vl-235b-a22b-thinking"
	Model__NovitaAI__Qwen3__Vl__30b__A3b__3__Instruct                                        ModelID = "qwen/qwen3-vl-30b-a3b-instruct"
	Model__NovitaAI__Qwen3__Vl__30b__A3b__3__Thinking                                        ModelID = "qwen/qwen3-vl-30b-a3b-thinking"
	Model__NovitaAI__Qwen3__Vl__8b__3__Instruct                                              ModelID = "qwen/qwen3-vl-8b-instruct"
	Model__NovitaAI__Qwen__2__5__72b__2_5__Instruct                                          ModelID = "qwen/qwen-2.5-72b-instruct"
	Model__NovitaAI__Qwen__Mt__Plus                                                          ModelID = "qwen/qwen-mt-plus"
	Model__NovitaAI__Ring__2__6__1t__2_6                                                     ModelID = "inclusionai/ring-2.6-1t"
	Model__NovitaAI__WizardLM__2__8x22b__2                                                   ModelID = "microsoft/wizardlm-2-8x22b"
	Model__Nvidia__Active__Speaker__Detection                                                ModelID = "nvidia/active-speaker-detection"
	Model__Nvidia__Bevformer                                                                 ModelID = "nvidia/bevformer"
	Model__Nvidia__Bge__M3                                                                   ModelID = "baai/bge-m3"
	Model__Nvidia__Cosmos__Predict1__5b                                                      ModelID = "nvidia/cosmos-predict1-5b"
	Model__Nvidia__Cosmos__Transfer1__7b                                                     ModelID = "nvidia/cosmos-transfer1-7b"
	Model__Nvidia__Cosmos__Transfer2__5__2b                                                  ModelID = "nvidia/cosmos-transfer2_5-2b"
	Model__Nvidia__DeepSeek__V3__1__Terminus                                                 ModelID = "deepseek-ai/deepseek-v3.1-terminus"
	Model__Nvidia__DeepSeek__V3__2                                                           ModelID = "deepseek-ai/deepseek-v3.2"
	Model__Nvidia__DeepSeek__V4__Flash                                                       ModelID = "deepseek-ai/deepseek-v4-flash"
	Model__Nvidia__DeepSeek__V4__Pro__Thinking                                               ModelID = "deepseek-ai/deepseek-v4-pro"
	Model__Nvidia__Devstral__2__123b__Instruct__2512__2__Instruct                            ModelID = "mistralai/devstral-2-123b-instruct-2512"
	Model__Nvidia__Dracarys__Llama__3__1__70b__Instruct                                      ModelID = "abacusai/dracarys-llama-3_1-70b-instruct"
	Model__Nvidia__Esm2__650m                                                                ModelID = "meta/esm2-650m"
	Model__Nvidia__Esmfold                                                                   ModelID = "meta/esmfold"
	Model__Nvidia__Flux__1__Dev                                                              ModelID = "black-forest-labs/flux.1-dev"
	Model__Nvidia__Flux__1__Kontext__Dev                                                     ModelID = "black-forest-labs/flux_1-kontext-dev"
	Model__Nvidia__Flux__1__Schnell                                                          ModelID = "black-forest-labs/flux_1-schnell"
	Model__Nvidia__Flux__2__Klein__4b                                                        ModelID = "black-forest-labs/flux_2-klein-4b"
	Model__Nvidia__GLM__5_1                                                                  ModelID = "z-ai/glm-5.1"
	Model__Nvidia__GPT__Oss__120b                                                            ModelID = "openai/gpt-oss-120b"
	Model__Nvidia__GPT__Oss__20b                                                             ModelID = "openai/gpt-oss-20b"
	Model__Nvidia__Gemma__2__2b__It__2                                                       ModelID = "google/gemma-2-2b-it"
	Model__Nvidia__Gemma__3__27b__It__3                                                      ModelID = "google/gemma-3-27b-it"
	Model__Nvidia__Gemma__3n__E2b__It                                                        ModelID = "google/gemma-3n-e2b-it"
	Model__Nvidia__Gemma__3n__E4b__It                                                        ModelID = "google/gemma-3n-e4b-it"
	Model__Nvidia__Gemma__4__31b__It__4                                                      ModelID = "google/gemma-4-31b-it"
	Model__Nvidia__Gliner__Pii                                                               ModelID = "nvidia/gliner-pii"
	Model__Nvidia__Glm4__7__4_7                                                              ModelID = "z-ai/glm4.7"
	Model__Nvidia__Google__Paligemma                                                         ModelID = "google/google-paligemma"
	Model__Nvidia__Kimi__K2__2__Instruct                                                     ModelID = "moonshotai/kimi-k2-instruct"
	Model__Nvidia__Kimi__K2__2__Thinking                                                     ModelID = "moonshotai/kimi-k2-thinking"
	Model__Nvidia__Kimi__K2__6__2_6                                                          ModelID = "moonshotai/kimi-k2.6"
	Model__Nvidia__Kimi__K2__Instruct__0905__2__Instruct                                     ModelID = "moonshotai/kimi-k2-instruct-0905"
	Model__Nvidia__Llama__3__1__70b__3_1__Instruct                                           ModelID = "meta/llama-3.1-70b-instruct"
	Model__Nvidia__Llama__3__1__8b__3_1__Instruct                                            ModelID = "meta/llama-3.1-8b-instruct"
	Model__Nvidia__Llama__3__1__Nemotron__Safety__Guard__8b__V3                              ModelID = "nvidia/llama-3_1-nemotron-safety-guard-8b-v3"
	Model__Nvidia__Llama__3__2__11b__3_2__VisionInstruct                                     ModelID = "meta/llama-3.2-11b-vision-instruct"
	Model__Nvidia__Llama__3__2__1b__3_2__Instruct                                            ModelID = "meta/llama-3.2-1b-instruct"
	Model__Nvidia__Llama__3__2__3b__3_2__Instruct                                            ModelID = "meta/llama-3.2-3b-instruct"
	Model__Nvidia__Llama__3__2__90b__3_2__VisionInstruct                                     ModelID = "meta/llama-3.2-90b-vision-instruct"
	Model__Nvidia__Llama__3__2__Nemoretriever__300m__Embed__V1                               ModelID = "nvidia/llama-3_2-nemoretriever-300m-embed-v1"
	Model__Nvidia__Llama__3__3__70b__3_3__Instruct                                           ModelID = "meta/llama-3.3-70b-instruct"
	Model__Nvidia__Llama__3__3__Nemotron__Super__49b__V1                                     ModelID = "nvidia/llama-3_3-nemotron-super-49b-v1"
	Model__Nvidia__Llama__3__3__Nemotron__Super__49b__V1__5                                  ModelID = "nvidia/llama-3_3-nemotron-super-49b-v1_5"
	Model__Nvidia__Llama__4__Maverick__17b__128e__4__Instruct                                ModelID = "meta/llama-4-maverick-17b-128e-instruct"
	Model__Nvidia__Llama__Guard__4__12b__4                                                   ModelID = "meta/llama-guard-4-12b"
	Model__Nvidia__Llama__Nemotron__Embed__Vl__1b__V2                                        ModelID = "nvidia/llama-nemotron-embed-vl-1b-v2"
	Model__Nvidia__Llama__Nemotron__Rerank__Vl__1b__V2                                       ModelID = "nvidia/llama-nemotron-rerank-vl-1b-v2"
	Model__Nvidia__Magistral__Small__2506                                                    ModelID = "mistralai/magistral-small-2506"
	Model__Nvidia__Magpie__Tts__Zeroshot                                                     ModelID = "nvidia/magpie-tts-zeroshot"
	Model__Nvidia__MiniMax__M2__5__2_5                                                       ModelID = "minimaxai/minimax-m2.5"
	Model__Nvidia__MiniMax__M2__7__2_7                                                       ModelID = "minimaxai/minimax-m2.7"
	Model__Nvidia__Mistral__7b__Instruct__V03__Instruct                                      ModelID = "mistralai/mistral-7b-instruct-v03"
	Model__Nvidia__Mistral__Large__3__675b__Instruct__2512__3__Instruct                      ModelID = "mistralai/mistral-large-3-675b-instruct-2512"
	Model__Nvidia__Mistral__Medium__3__Instruct                                              ModelID = "mistralai/mistral-medium-3-instruct"
	Model__Nvidia__Mistral__Nemotron                                                         ModelID = "mistralai/mistral-nemotron"
	Model__Nvidia__Mistral__Small__4__119b__2603__4                                          ModelID = "mistralai/mistral-small-4-119b-2603"
	Model__Nvidia__Mixtral__8x22b__Instruct                                                  ModelID = "mistralai/mixtral-8x22b-instruct"
	Model__Nvidia__Mixtral__8x7b__Instruct                                                   ModelID = "mistralai/mixtral-8x7b-instruct"
	Model__Nvidia__Nemotron__3__Content__Safety__3                                           ModelID = "nvidia/nemotron-3-content-safety"
	Model__Nvidia__Nemotron__3__Nano__30b__A3b__3                                            ModelID = "nvidia/nemotron-3-nano-30b-a3b"
	Model__Nvidia__Nemotron__3__Nano__Omni__30b__A3b__3__Reasoning                           ModelID = "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning"
	Model__Nvidia__Nemotron__3__Super__120b__A12b__3                                         ModelID = "nvidia/nemotron-3-super-120b-a12b"
	Model__Nvidia__Nemotron__Content__Safety__Reasoning__4b__Reasoning                       ModelID = "nvidia/nemotron-content-safety-reasoning-4b"
	Model__Nvidia__Nemotron__Mini__4b__Instruct                                              ModelID = "nvidia/nemotron-mini-4b-instruct"
	Model__Nvidia__Nemotron__Voicechat                                                       ModelID = "nvidia/nemotron-voicechat"
	Model__Nvidia__Nv__Embed__V1                                                             ModelID = "nvidia/nv-embed-v1"
	Model__Nvidia__Nv__Embedcode__7b__V1                                                     ModelID = "nvidia/nv-embedcode-7b-v1"
	Model__Nvidia__Nvidia__Nemotron__Nano__9b__V2                                            ModelID = "nvidia/nvidia-nemotron-nano-9b-v2"
	Model__Nvidia__Phi__4__Mini__4__Instruct                                                 ModelID = "microsoft/phi-4-mini-instruct"
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	Model__OpenRouter__Codestral__2508                                                       ModelID = "mistralai/codestral-2508"
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	Model__OpenRouter__Command__R__20240830                                                  ModelID = "cohere/command-r-08-2024"
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	Model__OpenRouter__Cydonia__24b__V4__1                                                   ModelID = "thedrummer/cydonia-24b-v4.1"
	Model__OpenRouter__DeepSeek__Chat                                                        ModelID = "deepseek/deepseek-chat"
	Model__OpenRouter__DeepSeek__Chat__V3__0324                                              ModelID = "deepseek/deepseek-chat-v3-0324"
	Model__OpenRouter__DeepSeek__Chat__V3__1__3_1                                            ModelID = "deepseek/deepseek-chat-v3.1"
	Model__OpenRouter__DeepSeek__R1__0528                                                    ModelID = "deepseek/deepseek-r1-0528"
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	Model__OpenRouter__DeepSeek__R1__Distill__Qwen__32b                                      ModelID = "deepseek/deepseek-r1-distill-qwen-32b"
	Model__OpenRouter__DeepSeek__R1__Thinking                                                ModelID = "deepseek/deepseek-r1"
	Model__OpenRouter__DeepSeek__V3__1__Nex__N1                                              ModelID = "nex-agi/deepseek-v3.1-nex-n1"
	Model__OpenRouter__DeepSeek__V3__1__Terminus                                             ModelID = "deepseek/deepseek-v3.1-terminus"
	Model__OpenRouter__DeepSeek__V3__2                                                       ModelID = "deepseek/deepseek-v3.2"
	Model__OpenRouter__DeepSeek__V3__2__Exp                                                  ModelID = "deepseek/deepseek-v3.2-exp"
	Model__OpenRouter__DeepSeek__V4__Flash                                                   ModelID = "deepseek/deepseek-v4-flash"
	Model__OpenRouter__DeepSeek__V4__Flash__Free                                             ModelID = "deepseek/deepseek-v4-flash:free"
	Model__OpenRouter__DeepSeek__V4__Pro__Thinking                                           ModelID = "deepseek/deepseek-v4-pro"
	Model__OpenRouter__Devstral__2512                                                        ModelID = "mistralai/devstral-2512"
	Model__OpenRouter__Devstral__Medium                                                      ModelID = "mistralai/devstral-medium"
	Model__OpenRouter__Devstral__Small                                                       ModelID = "mistralai/devstral-small"
	Model__OpenRouter__Dolphin__Mistral__24b__Venice__Edition__Free                          ModelID = "cognitivecomputations/dolphin-mistral-24b-venice-edition:free"
	Model__OpenRouter__Ernie__4__5__21b__A3b__4_5                                            ModelID = "baidu/ernie-4.5-21b-a3b"
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	Model__OpenRouter__Ernie__4__5__300b__A47b__4_5                                          ModelID = "baidu/ernie-4.5-300b-a47b"
	Model__OpenRouter__Ernie__4__5__Vl__28b__A3b__4_5                                        ModelID = "baidu/ernie-4.5-vl-28b-a3b"
	Model__OpenRouter__Ernie__4__5__Vl__424b__A47b__4_5                                      ModelID = "baidu/ernie-4.5-vl-424b-a47b"
	Model__OpenRouter__Free                                                                  ModelID = "openrouter/free"
	Model__OpenRouter__GLM__4_5                                                              ModelID = "z-ai/glm-4.5"
	Model__OpenRouter__GLM__4_6                                                              ModelID = "z-ai/glm-4.6"
	Model__OpenRouter__GLM__4_7                                                              ModelID = "z-ai/glm-4.7"
	Model__OpenRouter__GLM__4__32b__4                                                        ModelID = "z-ai/glm-4-32b"
	Model__OpenRouter__GLM__4__5__Air__4_5                                                   ModelID = "z-ai/glm-4.5-air"
	Model__OpenRouter__GLM__4__5__Air__Free__4_5                                             ModelID = "z-ai/glm-4.5-air:free"
	Model__OpenRouter__GLM__4__5v__4_5                                                       ModelID = "z-ai/glm-4.5v"
	Model__OpenRouter__GLM__4__6v__4_6                                                       ModelID = "z-ai/glm-4.6v"
	Model__OpenRouter__GLM__4__7__Flash__4_7                                                 ModelID = "z-ai/glm-4.7-flash"
	Model__OpenRouter__GLM__5                                                                ModelID = "z-ai/glm-5"
	Model__OpenRouter__GLM__5_1                                                              ModelID = "z-ai/glm-5.1"
	Model__OpenRouter__GLM__5__Turbo                                                         ModelID = "z-ai/glm-5-turbo"
	Model__OpenRouter__GLM__5v__5__Turbo                                                     ModelID = "z-ai/glm-5v-turbo"
	Model__OpenRouter__GPT__3_5__Turbo                                                       ModelID = "openai/gpt-3.5-turbo"
	Model__OpenRouter__GPT__3_5__TurboInstruct                                               ModelID = "openai/gpt-3.5-turbo-instruct"
	Model__OpenRouter__GPT__3__5__Turbo__0613__3_5__Turbo                                    ModelID = "openai/gpt-3.5-turbo-0613"
	Model__OpenRouter__GPT__3__5__Turbo__16k__3_5__Turbo                                     ModelID = "openai/gpt-3.5-turbo-16k"
	Model__OpenRouter__GPT__4                                                                ModelID = "openai/gpt-4"
	Model__OpenRouter__GPT__4_1                                                              ModelID = "openai/gpt-4.1"
	Model__OpenRouter__GPT__4__0314__4                                                       ModelID = "openai/gpt-4-0314"
	Model__OpenRouter__GPT__4__1106__4__Preview                                              ModelID = "openai/gpt-4-1106-preview"
	Model__OpenRouter__GPT__4__1__Mini__4_1                                                  ModelID = "openai/gpt-4.1-mini"
	Model__OpenRouter__GPT__4__1__Nano__4_1                                                  ModelID = "openai/gpt-4.1-nano"
	Model__OpenRouter__GPT__4__Turbo                                                         ModelID = "openai/gpt-4-turbo"
	Model__OpenRouter__GPT__4__TurboPreview                                                  ModelID = "openai/gpt-4-turbo-preview"
	Model__OpenRouter__GPT__4o                                                               ModelID = "openai/gpt-4o"
	Model__OpenRouter__GPT__4o__20240513                                                     ModelID = "openai/gpt-4o-2024-05-13"
	Model__OpenRouter__GPT__4o__20240806                                                     ModelID = "openai/gpt-4o-2024-08-06"
	Model__OpenRouter__GPT__4o__20241120                                                     ModelID = "openai/gpt-4o-2024-11-20"
	Model__OpenRouter__GPT__4o__Mini                                                         ModelID = "openai/gpt-4o-mini"
	Model__OpenRouter__GPT__4o__Mini__Mini__20240718                                         ModelID = "openai/gpt-4o-mini-2024-07-18"
	Model__OpenRouter__GPT__4o__Mini__Search__PreviewMini                                    ModelID = "openai/gpt-4o-mini-search-preview"
	Model__OpenRouter__GPT__4o__Search__Preview                                              ModelID = "openai/gpt-4o-search-preview"
	Model__OpenRouter__GPT__5                                                                ModelID = "openai/gpt-5"
	Model__OpenRouter__GPT__5_1                                                              ModelID = "openai/gpt-5.1"
	Model__OpenRouter__GPT__5_1__Chat                                                        ModelID = "openai/gpt-5.1-chat"
	Model__OpenRouter__GPT__5_2                                                              ModelID = "openai/gpt-5.2"
	Model__OpenRouter__GPT__5_2__Chat                                                        ModelID = "openai/gpt-5.2-chat"
	Model__OpenRouter__GPT__5_3__Chat                                                        ModelID = "openai/gpt-5.3-chat"
	Model__OpenRouter__GPT__5_4                                                              ModelID = "openai/gpt-5.4"
	Model__OpenRouter__GPT__5_5                                                              ModelID = "openai/gpt-5.5"
	Model__OpenRouter__GPT__5__1__Codex__5_1                                                 ModelID = "openai/gpt-5.1-codex"
	Model__OpenRouter__GPT__5__1__Codex__Max__5_1                                            ModelID = "openai/gpt-5.1-codex-max"
	Model__OpenRouter__GPT__5__1__Codex__Mini__5_1                                           ModelID = "openai/gpt-5.1-codex-mini"
	Model__OpenRouter__GPT__5__2__Codex__5_2                                                 ModelID = "openai/gpt-5.2-codex"
	Model__OpenRouter__GPT__5__2__Pro__5_2                                                   ModelID = "openai/gpt-5.2-pro"
	Model__OpenRouter__GPT__5__3__Codex__5_3                                                 ModelID = "openai/gpt-5.3-codex"
	Model__OpenRouter__GPT__5__4__Image__2__5_4                                              ModelID = "openai/gpt-5.4-image-2"
	Model__OpenRouter__GPT__5__4__Mini__5_4                                                  ModelID = "openai/gpt-5.4-mini"
	Model__OpenRouter__GPT__5__4__Nano__5_4                                                  ModelID = "openai/gpt-5.4-nano"
	Model__OpenRouter__GPT__5__4__Pro__5_4                                                   ModelID = "openai/gpt-5.4-pro"
	Model__OpenRouter__GPT__5__5__Pro__5_5                                                   ModelID = "openai/gpt-5.5-pro"
	Model__OpenRouter__GPT__5__Chat                                                          ModelID = "openai/gpt-5-chat"
	Model__OpenRouter__GPT__5__Codex__5                                                      ModelID = "openai/gpt-5-codex"
	Model__OpenRouter__GPT__5__Image__5                                                      ModelID = "openai/gpt-5-image"
	Model__OpenRouter__GPT__5__Image__Mini__5                                                ModelID = "openai/gpt-5-image-mini"
	Model__OpenRouter__GPT__5__Mini__5                                                       ModelID = "openai/gpt-5-mini"
	Model__OpenRouter__GPT__5__Nano__5                                                       ModelID = "openai/gpt-5-nano"
	Model__OpenRouter__GPT__5__Pro__5                                                        ModelID = "openai/gpt-5-pro"
	Model__OpenRouter__GPT__Audio                                                            ModelID = "openai/gpt-audio"
	Model__OpenRouter__GPT__Audio__Mini                                                      ModelID = "openai/gpt-audio-mini"
	Model__OpenRouter__GPT__ChatLatest                                                       ModelID = "openai/gpt-chat-latest"
	Model__OpenRouter__GPT__Latest                                                           ModelID = "~openai/gpt-latest"
	Model__OpenRouter__GPT__Mini__Latest                                                     ModelID = "~openai/gpt-mini-latest"
	Model__OpenRouter__GPT__Oss__120b                                                        ModelID = "openai/gpt-oss-120b"
	Model__OpenRouter__GPT__Oss__120b__Free                                                  ModelID = "openai/gpt-oss-120b:free"
	Model__OpenRouter__GPT__Oss__20b                                                         ModelID = "openai/gpt-oss-20b"
	Model__OpenRouter__GPT__Oss__20b__Free                                                   ModelID = "openai/gpt-oss-20b:free"
	Model__OpenRouter__GPT__Oss__Safeguard__20b                                              ModelID = "openai/gpt-oss-safeguard-20b"
	Model__OpenRouter__Gemini__2__0__Flash__001__2_0                                         ModelID = "google/gemini-2.0-flash-001"
	Model__OpenRouter__Gemini__2__0__Flash__Lite__001__2_0                                   ModelID = "google/gemini-2.0-flash-lite-001"
	Model__OpenRouter__Gemini__2__5__Flash__2_5                                              ModelID = "google/gemini-2.5-flash"
	Model__OpenRouter__Gemini__2__5__Flash__Image__2_5                                       ModelID = "google/gemini-2.5-flash-image"
	Model__OpenRouter__Gemini__2__5__Flash__Lite__2_5                                        ModelID = "google/gemini-2.5-flash-lite"
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	Model__OpenRouter__Gemini__2__5__Pro__2_5                                                ModelID = "google/gemini-2.5-pro"
	Model__OpenRouter__Gemini__2__5__Pro__2_5__Preview                                       ModelID = "google/gemini-2.5-pro-preview"
	Model__OpenRouter__Gemini__2__5__Pro__Preview__05__06__2_5                               ModelID = "google/gemini-2.5-pro-preview-05-06"
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	Model__OpenRouter__Gemini__3__1__Flash__Lite__3_1                                        ModelID = "google/gemini-3.1-flash-lite"
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	Model__OpenRouter__Gemini__3__1__Pro__3_1__Preview                                       ModelID = "google/gemini-3.1-pro-preview"
	Model__OpenRouter__Gemini__3__1__Pro__Preview__Customtools__3_1                          ModelID = "google/gemini-3.1-pro-preview-customtools"
	Model__OpenRouter__Gemini__3__5__Flash__3_5                                              ModelID = "google/gemini-3.5-flash"
	Model__OpenRouter__Gemini__3__Flash__3__Preview                                          ModelID = "google/gemini-3-flash-preview"
	Model__OpenRouter__Gemini__3__Pro__Image__3__Preview                                     ModelID = "google/gemini-3-pro-image-preview"
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	Model__OpenRouter__Gemini__Pro__Latest                                                   ModelID = "~google/gemini-pro-latest"
	Model__OpenRouter__Gemma__2__27b__It__2                                                  ModelID = "google/gemma-2-27b-it"
	Model__OpenRouter__Gemma__3__12b__It__3                                                  ModelID = "google/gemma-3-12b-it"
	Model__OpenRouter__Gemma__3__27b__It__3                                                  ModelID = "google/gemma-3-27b-it"
	Model__OpenRouter__Gemma__3__4b__It__3                                                   ModelID = "google/gemma-3-4b-it"
	Model__OpenRouter__Gemma__3n__E4b__It                                                    ModelID = "google/gemma-3n-e4b-it"
	Model__OpenRouter__Gemma__4__26b__A4b__It__4                                             ModelID = "google/gemma-4-26b-a4b-it"
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	Model__OpenRouter__Gemma__4__31b__It__4                                                  ModelID = "google/gemma-4-31b-it"
	Model__OpenRouter__Gemma__4__31b__It__Free__4                                            ModelID = "google/gemma-4-31b-it:free"
	Model__OpenRouter__Granite__4__0__H__Micro__4_0                                          ModelID = "ibm-granite/granite-4.0-h-micro"
	Model__OpenRouter__Granite__4__1__8b__4_1                                                ModelID = "ibm-granite/granite-4.1-8b"
	Model__OpenRouter__Grok__4_20                                                            ModelID = "x-ai/grok-4.20"
	Model__OpenRouter__Grok__4_3                                                             ModelID = "x-ai/grok-4.3"
	Model__OpenRouter__Grok__4__20__Multi__Agent__4_20                                       ModelID = "x-ai/grok-4.20-multi-agent"
	Model__OpenRouter__Grok__Build__0_1                                                      ModelID = "x-ai/grok-build-0.1"
	Model__OpenRouter__Hermes__2__Pro__Llama__3__8b__2                                       ModelID = "nousresearch/hermes-2-pro-llama-3-8b"
	Model__OpenRouter__Hermes__3__Llama__3__1__405b__3                                       ModelID = "nousresearch/hermes-3-llama-3.1-405b"
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	Model__OpenRouter__Hermes__3__Llama__3__1__70b__3                                        ModelID = "nousresearch/hermes-3-llama-3.1-70b"
	Model__OpenRouter__Hermes__4__405b__4                                                    ModelID = "nousresearch/hermes-4-405b"
	Model__OpenRouter__Hermes__4__70b__4                                                     ModelID = "nousresearch/hermes-4-70b"
	Model__OpenRouter__Hunyuan__A13b__Instruct                                               ModelID = "tencent/hunyuan-a13b-instruct"
	Model__OpenRouter__Hy3__3__Preview                                                       ModelID = "tencent/hy3-preview"
	Model__OpenRouter__Inflection__3__Pi__3                                                  ModelID = "inflection/inflection-3-pi"
	Model__OpenRouter__Inflection__3__Productivity__3                                        ModelID = "inflection/inflection-3-productivity"
	Model__OpenRouter__Intellect__3                                                          ModelID = "prime-intellect/intellect-3"
	Model__OpenRouter__Jamba__Large__1_7                                                     ModelID = "ai21/jamba-large-1.7"
	Model__OpenRouter__Kat__Coder__Pro__V2                                                   ModelID = "kwaipilot/kat-coder-pro-v2"
	Model__OpenRouter__Kimi__K2__0905__2                                                     ModelID = "moonshotai/kimi-k2-0905"
	Model__OpenRouter__Kimi__K2__2                                                           ModelID = "moonshotai/kimi-k2"
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	Model__OpenRouter__L3__1__Euryale__70b                                                   ModelID = "sao10k/l3.1-euryale-70b"
	Model__OpenRouter__L3__3__Euryale__70b                                                   ModelID = "sao10k/l3.3-euryale-70b"
	Model__OpenRouter__L3__Euryale__70b                                                      ModelID = "sao10k/l3-euryale-70b"
	Model__OpenRouter__L3__Lunaris__8b                                                       ModelID = "sao10k/l3-lunaris-8b"
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	Model__OpenRouter__Laguna__Xs__2__Free                                                   ModelID = "poolside/laguna-xs.2:free"
	Model__OpenRouter__Lfm__2__24b__A2b__2                                                   ModelID = "liquid/lfm-2-24b-a2b"
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	Model__OpenRouter__Ling__2__6__1t__2_6                                                   ModelID = "inclusionai/ling-2.6-1t"
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	Model__OpenRouter__Llama__3__3__Nemotron__Super__49b__V1__5__3_3                         ModelID = "nvidia/llama-3.3-nemotron-super-49b-v1.5"
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	Model__OpenRouter__Llama__3__8b__3__Instruct                                             ModelID = "meta-llama/llama-3-8b-instruct"
	Model__OpenRouter__Llama__4__Maverick__4                                                 ModelID = "meta-llama/llama-4-maverick"
	Model__OpenRouter__Llama__4__Scout__4                                                    ModelID = "meta-llama/llama-4-scout"
	Model__OpenRouter__Llama__Guard__3__8b__3                                                ModelID = "meta-llama/llama-guard-3-8b"
	Model__OpenRouter__Llama__Guard__4__12b__4                                               ModelID = "meta-llama/llama-guard-4-12b"
	Model__OpenRouter__Lyria__3__Clip__3__Preview                                            ModelID = "google/lyria-3-clip-preview"
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	Model__OpenRouter__Maestro__Reasoning                                                    ModelID = "arcee-ai/maestro-reasoning"
	Model__OpenRouter__Magnum__V4__72b                                                       ModelID = "anthracite-org/magnum-v4-72b"
	Model__OpenRouter__Mercury__2                                                            ModelID = "inception/mercury-2"
	Model__OpenRouter__Mimo__V2__2__Omni                                                     ModelID = "xiaomi/mimo-v2-omni"
	Model__OpenRouter__Mimo__V2__2__Pro                                                      ModelID = "xiaomi/mimo-v2-pro"
	Model__OpenRouter__Mimo__V2__5__2_5                                                      ModelID = "xiaomi/mimo-v2.5"
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	Model__OpenRouter__Mimo__V2__Flash                                                       ModelID = "xiaomi/mimo-v2-flash"
	Model__OpenRouter__MiniMax__01                                                           ModelID = "minimax/minimax-01"
	Model__OpenRouter__MiniMax__M1__1                                                        ModelID = "minimax/minimax-m1"
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	Model__OpenRouter__MiniMax__M2__2                                                        ModelID = "minimax/minimax-m2"
	Model__OpenRouter__MiniMax__M2__5__2_5                                                   ModelID = "minimax/minimax-m2.5"
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	Model__OpenRouter__MiniMax__M2__7__2_7                                                   ModelID = "minimax/minimax-m2.7"
	Model__OpenRouter__MiniMax__M2__Her                                                      ModelID = "minimax/minimax-m2-her"
	Model__OpenRouter__Ministral__14b__2512                                                  ModelID = "mistralai/ministral-14b-2512"
	Model__OpenRouter__Ministral__3b__2512                                                   ModelID = "mistralai/ministral-3b-2512"
	Model__OpenRouter__Ministral__8b__2512                                                   ModelID = "mistralai/ministral-8b-2512"
	Model__OpenRouter__Mistral__7b__Instruct__V0__1__0_1__Instruct                           ModelID = "mistralai/mistral-7b-instruct-v0.1"
	Model__OpenRouter__Mistral__Large                                                        ModelID = "mistralai/mistral-large"
	Model__OpenRouter__Mistral__Large__2407                                                  ModelID = "mistralai/mistral-large-2407"
	Model__OpenRouter__Mistral__Large__2411                                                  ModelID = "mistralai/mistral-large-2411"
	Model__OpenRouter__Mistral__Large__2512                                                  ModelID = "mistralai/mistral-large-2512"
	Model__OpenRouter__Mistral__Medium__3                                                    ModelID = "mistralai/mistral-medium-3"
	Model__OpenRouter__Mistral__Medium__3_1                                                  ModelID = "mistralai/mistral-medium-3.1"
	Model__OpenRouter__Mistral__Medium__3_5                                                  ModelID = "mistralai/mistral-medium-3-5"
	Model__OpenRouter__Mistral__Nemo                                                         ModelID = "mistralai/mistral-nemo"
	Model__OpenRouter__Mistral__Saba                                                         ModelID = "mistralai/mistral-saba"
	Model__OpenRouter__Mistral__Small__24b__Instruct__2501__Instruct                         ModelID = "mistralai/mistral-small-24b-instruct-2501"
	Model__OpenRouter__Mistral__Small__2603                                                  ModelID = "mistralai/mistral-small-2603"
	Model__OpenRouter__Mistral__Small__3__1__24b__3_1__Instruct                              ModelID = "mistralai/mistral-small-3.1-24b-instruct"
	Model__OpenRouter__Mistral__Small__3__2__24b__3_2__Instruct                              ModelID = "mistralai/mistral-small-3.2-24b-instruct"
	Model__OpenRouter__Mixtral__8x22b__Instruct                                              ModelID = "mistralai/mixtral-8x22b-instruct"
	Model__OpenRouter__Morph__V3__Fast                                                       ModelID = "morph/morph-v3-fast"
	Model__OpenRouter__Morph__V3__Large                                                      ModelID = "morph/morph-v3-large"
	Model__OpenRouter__Mythomax__L2__13b                                                     ModelID = "gryphe/mythomax-l2-13b"
	Model__OpenRouter__Nemotron__3__Nano__30b__A3b__3                                        ModelID = "nvidia/nemotron-3-nano-30b-a3b"
	Model__OpenRouter__Nemotron__3__Nano__30b__A3b__Free__3                                  ModelID = "nvidia/nemotron-3-nano-30b-a3b:free"
	Model__OpenRouter__Nemotron__3__Nano__Omni__30b__A3b__Reasoning__Free__3__Reasoning      ModelID = "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free"
	Model__OpenRouter__Nemotron__3__Super__120b__A12b__3                                     ModelID = "nvidia/nemotron-3-super-120b-a12b"
	Model__OpenRouter__Nemotron__3__Super__120b__A12b__Free__3                               ModelID = "nvidia/nemotron-3-super-120b-a12b:free"
	Model__OpenRouter__Nemotron__Nano__12b__V2__Vl__Free                                     ModelID = "nvidia/nemotron-nano-12b-v2-vl:free"
	Model__OpenRouter__Nemotron__Nano__9b__V2                                                ModelID = "nvidia/nemotron-nano-9b-v2"
	Model__OpenRouter__Nemotron__Nano__9b__V2__Free                                          ModelID = "nvidia/nemotron-nano-9b-v2:free"
	Model__OpenRouter__Nova__2__Lite__V1__2                                                  ModelID = "amazon/nova-2-lite-v1"
	Model__OpenRouter__Nova__Lite__V1                                                        ModelID = "amazon/nova-lite-v1"
	Model__OpenRouter__Nova__Micro__V1                                                       ModelID = "amazon/nova-micro-v1"
	Model__OpenRouter__Nova__Premier__V1                                                     ModelID = "amazon/nova-premier-v1"
	Model__OpenRouter__Nova__Pro__V1                                                         ModelID = "amazon/nova-pro-v1"
	Model__OpenRouter__O1__1                                                                 ModelID = "openai/o1"
	Model__OpenRouter__O1__1__Pro                                                            ModelID = "openai/o1-pro"
	Model__OpenRouter__O3__3                                                                 ModelID = "openai/o3"
	Model__OpenRouter__O3__3__Mini                                                           ModelID = "openai/o3-mini"
	Model__OpenRouter__O3__3__Pro                                                            ModelID = "openai/o3-pro"
	Model__OpenRouter__O3__Deep__Research__3__Deep_Research                                  ModelID = "openai/o3-deep-research"
	Model__OpenRouter__O3__Mini__High__3__Mini                                               ModelID = "openai/o3-mini-high"
	Model__OpenRouter__O4__4__Mini                                                           ModelID = "openai/o4-mini"
	Model__OpenRouter__O4__Mini__Deep__Research__4__Mini                                     ModelID = "openai/o4-mini-deep-research"
	Model__OpenRouter__O4__Mini__High__4__Mini                                               ModelID = "openai/o4-mini-high"
	Model__OpenRouter__OLMo__3__32b__3__Think                                                ModelID = "allenai/olmo-3-32b-think"
	Model__OpenRouter__Owl__Alpha                                                            ModelID = "openrouter/owl-alpha"
	Model__OpenRouter__Palmyra__X5                                                           ModelID = "writer/palmyra-x5"
	Model__OpenRouter__Pareto__Code                                                          ModelID = "openrouter/pareto-code"
	Model__OpenRouter__Perceptron__Mk1                                                       ModelID = "perceptron/perceptron-mk1"
	Model__OpenRouter__Phi__4                                                                ModelID = "microsoft/phi-4"
	Model__OpenRouter__Phi__4__Mini__4__Instruct                                             ModelID = "microsoft/phi-4-mini-instruct"
	Model__OpenRouter__Pixtral__Large__2411                                                  ModelID = "mistralai/pixtral-large-2411"
	Model__OpenRouter__Qwen2__5__Vl__72b__2_5__Instruct                                      ModelID = "qwen/qwen2.5-vl-72b-instruct"
	Model__OpenRouter__Qwen3__14b__3                                                         ModelID = "qwen/qwen3-14b"
	Model__OpenRouter__Qwen3__235b__A22b__2507__3                                            ModelID = "qwen/qwen3-235b-a22b-2507"
	Model__OpenRouter__Qwen3__235b__A22b__3                                                  ModelID = "qwen/qwen3-235b-a22b"
	Model__OpenRouter__Qwen3__235b__A22b__Thinking__2507__3__Thinking                        ModelID = "qwen/qwen3-235b-a22b-thinking-2507"
	Model__OpenRouter__Qwen3__30b__A3b__3                                                    ModelID = "qwen/qwen3-30b-a3b"
	Model__OpenRouter__Qwen3__30b__A3b__Instruct__2507__3__Instruct                          ModelID = "qwen/qwen3-30b-a3b-instruct-2507"
	Model__OpenRouter__Qwen3__30b__A3b__Thinking__2507__3__Thinking                          ModelID = "qwen/qwen3-30b-a3b-thinking-2507"
	Model__OpenRouter__Qwen3__32b__3                                                         ModelID = "qwen/qwen3-32b"
	Model__OpenRouter__Qwen3__5__122b__A10b__3_5                                             ModelID = "qwen/qwen3.5-122b-a10b"
	Model__OpenRouter__Qwen3__5__27b__3_5                                                    ModelID = "qwen/qwen3.5-27b"
	Model__OpenRouter__Qwen3__5__35b__A3b__3_5                                               ModelID = "qwen/qwen3.5-35b-a3b"
	Model__OpenRouter__Qwen3__5__397b__A17b__3_5                                             ModelID = "qwen/qwen3.5-397b-a17b"
	Model__OpenRouter__Qwen3__5__9b__3_5                                                     ModelID = "qwen/qwen3.5-9b"
	Model__OpenRouter__Qwen3__5__Flash__02__23__3_5                                          ModelID = "qwen/qwen3.5-flash-02-23"
	Model__OpenRouter__Qwen3__5__Plus__02__15__3_5                                           ModelID = "qwen/qwen3.5-plus-02-15"
	Model__OpenRouter__Qwen3__5__Plus__3_5__20260420                                         ModelID = "qwen/qwen3.5-plus-20260420"
	Model__OpenRouter__Qwen3__6__27b__3_6                                                    ModelID = "qwen/qwen3.6-27b"
	Model__OpenRouter__Qwen3__6__35b__A3b__3_6                                               ModelID = "qwen/qwen3.6-35b-a3b"
	Model__OpenRouter__Qwen3__6__Flash__3_6                                                  ModelID = "qwen/qwen3.6-flash"
	Model__OpenRouter__Qwen3__6__Max__3_6__Preview                                           ModelID = "qwen/qwen3.6-max-preview"
	Model__OpenRouter__Qwen3__6__Plus__3_6                                                   ModelID = "qwen/qwen3.6-plus"
	Model__OpenRouter__Qwen3__7__Max__3_7                                                    ModelID = "qwen/qwen3.7-max"
	Model__OpenRouter__Qwen3__8b__3                                                          ModelID = "qwen/qwen3-8b"
	Model__OpenRouter__Qwen3__Coder__3                                                       ModelID = "qwen/qwen3-coder"
	Model__OpenRouter__Qwen3__Coder__30b__A3b__3__Instruct                                   ModelID = "qwen/qwen3-coder-30b-a3b-instruct"
	Model__OpenRouter__Qwen3__Coder__Flash__3                                                ModelID = "qwen/qwen3-coder-flash"
	Model__OpenRouter__Qwen3__Coder__Free__3                                                 ModelID = "qwen/qwen3-coder:free"
	Model__OpenRouter__Qwen3__Coder__Next__3                                                 ModelID = "qwen/qwen3-coder-next"
	Model__OpenRouter__Qwen3__Coder__Plus__3                                                 ModelID = "qwen/qwen3-coder-plus"
	Model__OpenRouter__Qwen3__Max__3                                                         ModelID = "qwen/qwen3-max"
	Model__OpenRouter__Qwen3__Max__3__Thinking                                               ModelID = "qwen/qwen3-max-thinking"
	Model__OpenRouter__Qwen3__Next__80b__A3b__3__Instruct                                    ModelID = "qwen/qwen3-next-80b-a3b-instruct"
	Model__OpenRouter__Qwen3__Next__80b__A3b__3__Thinking                                    ModelID = "qwen/qwen3-next-80b-a3b-thinking"
	Model__OpenRouter__Qwen3__Next__80b__A3b__Instruct__Free__3__Instruct                    ModelID = "qwen/qwen3-next-80b-a3b-instruct:free"
	Model__OpenRouter__Qwen3__Vl__235b__A22b__3__Instruct                                    ModelID = "qwen/qwen3-vl-235b-a22b-instruct"
	Model__OpenRouter__Qwen3__Vl__235b__A22b__3__Thinking                                    ModelID = "qwen/qwen3-vl-235b-a22b-thinking"
	Model__OpenRouter__Qwen3__Vl__30b__A3b__3__Instruct                                      ModelID = "qwen/qwen3-vl-30b-a3b-instruct"
	Model__OpenRouter__Qwen3__Vl__30b__A3b__3__Thinking                                      ModelID = "qwen/qwen3-vl-30b-a3b-thinking"
	Model__OpenRouter__Qwen3__Vl__32b__3__Instruct                                           ModelID = "qwen/qwen3-vl-32b-instruct"
	Model__OpenRouter__Qwen3__Vl__8b__3__Instruct                                            ModelID = "qwen/qwen3-vl-8b-instruct"
	Model__OpenRouter__Qwen3__Vl__8b__3__Thinking                                            ModelID = "qwen/qwen3-vl-8b-thinking"
	Model__OpenRouter__Qwen__2__5__72b__2_5__Instruct                                        ModelID = "qwen/qwen-2.5-72b-instruct"
	Model__OpenRouter__Qwen__2__5__7b__2_5__Instruct                                         ModelID = "qwen/qwen-2.5-7b-instruct"
	Model__OpenRouter__Qwen__2__5__Coder__32b__2_5__Instruct                                 ModelID = "qwen/qwen-2.5-coder-32b-instruct"
	Model__OpenRouter__Qwen__Plus                                                            ModelID = "qwen/qwen-plus"
	Model__OpenRouter__Qwen__Plus__20250728                                                  ModelID = "qwen/qwen-plus-2025-07-28"
	Model__OpenRouter__Qwen__Plus__2025__07__28__Thinking                                    ModelID = "qwen/qwen-plus-2025-07-28:thinking"
	Model__OpenRouter__Reka__Edge                                                            ModelID = "rekaai/reka-edge"
	Model__OpenRouter__Reka__Flash__3                                                        ModelID = "rekaai/reka-flash-3"
	Model__OpenRouter__Relace__Apply__3                                                      ModelID = "relace/relace-apply-3"
	Model__OpenRouter__Relace__Search                                                        ModelID = "relace/relace-search"
	Model__OpenRouter__Remm__Slerp__L2__13b                                                  ModelID = "undi95/remm-slerp-l2-13b"
	Model__OpenRouter__Ring__2__6__1t__2_6                                                   ModelID = "inclusionai/ring-2.6-1t"
	Model__OpenRouter__Rnj__1__Instruct                                                      ModelID = "essentialai/rnj-1-instruct"
	Model__OpenRouter__Rocinante__12b                                                        ModelID = "thedrummer/rocinante-12b"
	Model__OpenRouter__Router                                                                ModelID = "switchpoint/router"
	Model__OpenRouter__Seed__1_6                                                             ModelID = "bytedance-seed/seed-1.6"
	Model__OpenRouter__Seed__1__6__Flash__1_6                                                ModelID = "bytedance-seed/seed-1.6-flash"
	Model__OpenRouter__Seed__2__0__Lite__2_0                                                 ModelID = "bytedance-seed/seed-2.0-lite"
	Model__OpenRouter__Seed__2__0__Mini__2_0                                                 ModelID = "bytedance-seed/seed-2.0-mini"
	Model__OpenRouter__Skyfall__36b__V2                                                      ModelID = "thedrummer/skyfall-36b-v2"
	Model__OpenRouter__Solar__Pro__3                                                         ModelID = "upstage/solar-pro-3"
	Model__OpenRouter__Sonar                                                                 ModelID = "perplexity/sonar"
	Model__OpenRouter__Sonar__Deep__Research                                                 ModelID = "perplexity/sonar-deep-research"
	Model__OpenRouter__Sonar__Pro                                                            ModelID = "perplexity/sonar-pro"
	Model__OpenRouter__Sonar__Pro__Search                                                    ModelID = "perplexity/sonar-pro-search"
	Model__OpenRouter__Sonar__Reasoning__Pro                                                 ModelID = "perplexity/sonar-reasoning-pro"
	Model__OpenRouter__Spotlight                                                             ModelID = "arcee-ai/spotlight"
	Model__OpenRouter__Step__3__5__Flash__3_5                                                ModelID = "stepfun/step-3.5-flash"
	Model__OpenRouter__Step__3__7__Flash__3_7                                                ModelID = "stepfun/step-3.7-flash"
	Model__OpenRouter__Trinity__Large__Thinking                                              ModelID = "arcee-ai/trinity-large-thinking"
	Model__OpenRouter__Trinity__Mini                                                         ModelID = "arcee-ai/trinity-mini"
	Model__OpenRouter__Ui__Tars__1__5__7b                                                    ModelID = "bytedance/ui-tars-1.5-7b"
	Model__OpenRouter__Unslopnemo__12b                                                       ModelID = "thedrummer/unslopnemo-12b"
	Model__OpenRouter__Virtuoso__Large                                                       ModelID = "arcee-ai/virtuoso-large"
	Model__OpenRouter__Voxtral__Small__24b__2507                                             ModelID = "mistralai/voxtral-small-24b-2507"
	Model__OpenRouter__Weaver                                                                ModelID = "mancer/weaver"
	Model__OpenRouter__WizardLM__2__8x22b__2                                                 ModelID = "microsoft/wizardlm-2-8x22b"
	Model__OrcaRouter__Auto                                                                  ModelID = "orcarouter/auto"
	Model__OrcaRouter__Claude__Haiku__4_5                                                    ModelID = "anthropic/claude-haiku-4.5"
	Model__OrcaRouter__Claude__Opus__4                                                       ModelID = "anthropic/claude-opus-4"
	Model__OrcaRouter__Claude__Opus__4_1                                                     ModelID = "anthropic/claude-opus-4.1"
	Model__OrcaRouter__Claude__Opus__4_5                                                     ModelID = "anthropic/claude-opus-4.5"
	Model__OrcaRouter__Claude__Opus__4_6                                                     ModelID = "anthropic/claude-opus-4.6"
	Model__OrcaRouter__Claude__Opus__4_7                                                     ModelID = "anthropic/claude-opus-4.7"
	Model__OrcaRouter__Claude__Sonnet__4                                                     ModelID = "anthropic/claude-sonnet-4"
	Model__OrcaRouter__Claude__Sonnet__4_5                                                   ModelID = "anthropic/claude-sonnet-4.5"
	Model__OrcaRouter__Claude__Sonnet__4_6                                                   ModelID = "anthropic/claude-sonnet-4.6"
	Model__OrcaRouter__DeepSeek__Chat                                                        ModelID = "deepseek/deepseek-chat"
	Model__OrcaRouter__DeepSeek__Reasoner__Thinking                                          ModelID = "deepseek/deepseek-reasoner"
	Model__OrcaRouter__DeepSeek__V4__Flash                                                   ModelID = "deepseek/deepseek-v4-flash"
	Model__OrcaRouter__DeepSeek__V4__Pro__Thinking                                           ModelID = "deepseek/deepseek-v4-pro"
	Model__OrcaRouter__GLM__4_5                                                              ModelID = "z-ai/glm-4.5"
	Model__OrcaRouter__GLM__4_6                                                              ModelID = "z-ai/glm-4.6"
	Model__OrcaRouter__GLM__4_7                                                              ModelID = "z-ai/glm-4.7"
	Model__OrcaRouter__GLM__4__5__Air__4_5                                                   ModelID = "z-ai/glm-4.5-air"
	Model__OrcaRouter__GLM__5                                                                ModelID = "z-ai/glm-5"
	Model__OrcaRouter__GLM__5_1                                                              ModelID = "z-ai/glm-5.1"
	Model__OrcaRouter__GPT__3_5__Turbo                                                       ModelID = "openai/gpt-3.5-turbo"
	Model__OrcaRouter__GPT__4                                                                ModelID = "openai/gpt-4"
	Model__OrcaRouter__GPT__4_1                                                              ModelID = "openai/gpt-4.1"
	Model__OrcaRouter__GPT__4__1__Mini__4_1                                                  ModelID = "openai/gpt-4.1-mini"
	Model__OrcaRouter__GPT__4__1__Nano__4_1                                                  ModelID = "openai/gpt-4.1-nano"
	Model__OrcaRouter__GPT__4__Turbo                                                         ModelID = "openai/gpt-4-turbo"
	Model__OrcaRouter__GPT__4o                                                               ModelID = "openai/gpt-4o"
	Model__OrcaRouter__GPT__4o__20240513                                                     ModelID = "openai/gpt-4o-2024-05-13"
	Model__OrcaRouter__GPT__4o__20240806                                                     ModelID = "openai/gpt-4o-2024-08-06"
	Model__OrcaRouter__GPT__4o__20241120                                                     ModelID = "openai/gpt-4o-2024-11-20"
	Model__OrcaRouter__GPT__4o__Mini                                                         ModelID = "openai/gpt-4o-mini"
	Model__OrcaRouter__GPT__5                                                                ModelID = "openai/gpt-5"
	Model__OrcaRouter__GPT__5_1                                                              ModelID = "openai/gpt-5.1"
	Model__OrcaRouter__GPT__5_1__ChatLatest                                                  ModelID = "openai/gpt-5.1-chat-latest"
	Model__OrcaRouter__GPT__5_2                                                              ModelID = "openai/gpt-5.2"
	Model__OrcaRouter__GPT__5_2__ChatLatest                                                  ModelID = "openai/gpt-5.2-chat-latest"
	Model__OrcaRouter__GPT__5_3__ChatLatest                                                  ModelID = "openai/gpt-5.3-chat-latest"
	Model__OrcaRouter__GPT__5_4                                                              ModelID = "openai/gpt-5.4"
	Model__OrcaRouter__GPT__5_5                                                              ModelID = "openai/gpt-5.5"
	Model__OrcaRouter__GPT__5__1__Codex__5_1                                                 ModelID = "openai/gpt-5.1-codex"
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	Model__OrcaRouter__GPT__5__1__Codex__Mini__5_1                                           ModelID = "openai/gpt-5.1-codex-mini"
	Model__OrcaRouter__GPT__5__2__Codex__5_2                                                 ModelID = "openai/gpt-5.2-codex"
	Model__OrcaRouter__GPT__5__2__Pro__5_2                                                   ModelID = "openai/gpt-5.2-pro"
	Model__OrcaRouter__GPT__5__3__Codex__5_3                                                 ModelID = "openai/gpt-5.3-codex"
	Model__OrcaRouter__GPT__5__4__Mini__5_4                                                  ModelID = "openai/gpt-5.4-mini"
	Model__OrcaRouter__GPT__5__4__Nano__5_4                                                  ModelID = "openai/gpt-5.4-nano"
	Model__OrcaRouter__GPT__5__4__Pro__5_4                                                   ModelID = "openai/gpt-5.4-pro"
	Model__OrcaRouter__GPT__5__5__Pro__5_5                                                   ModelID = "openai/gpt-5.5-pro"
	Model__OrcaRouter__GPT__5__ChatLatest                                                    ModelID = "openai/gpt-5-chat-latest"
	Model__OrcaRouter__GPT__5__Codex__5                                                      ModelID = "openai/gpt-5-codex"
	Model__OrcaRouter__GPT__5__Mini__5                                                       ModelID = "openai/gpt-5-mini"
	Model__OrcaRouter__GPT__5__Nano__5                                                       ModelID = "openai/gpt-5-nano"
	Model__OrcaRouter__GPT__5__Pro__5                                                        ModelID = "openai/gpt-5-pro"
	Model__OrcaRouter__Gemini__2__5__Flash__2_5                                              ModelID = "google/gemini-2.5-flash"
	Model__OrcaRouter__Gemini__2__5__Flash__Lite__2_5                                        ModelID = "google/gemini-2.5-flash-lite"
	Model__OrcaRouter__Gemini__2__5__Pro__2_5                                                ModelID = "google/gemini-2.5-pro"
	Model__OrcaRouter__Gemini__3__1__Flash__Lite__3_1__Preview                               ModelID = "google/gemini-3.1-flash-lite-preview"
	Model__OrcaRouter__Gemini__3__1__Pro__3_1__Preview                                       ModelID = "google/gemini-3.1-pro-preview"
	Model__OrcaRouter__Gemini__3__1__Pro__Preview__Customtools__3_1                          ModelID = "google/gemini-3.1-pro-preview-customtools"
	Model__OrcaRouter__Gemini__3__Flash__3__Preview                                          ModelID = "google/gemini-3-flash-preview"
	Model__OrcaRouter__Gemini__3__Pro__3__Preview                                            ModelID = "google/gemini-3-pro-preview"
	Model__OrcaRouter__Gemini__Flash__Latest                                                 ModelID = "google/gemini-flash-latest"
	Model__OrcaRouter__Gemini__Flash__Lite__Latest                                           ModelID = "google/gemini-flash-lite-latest"
	Model__OrcaRouter__Gemma__4__26b__A4b__It__4                                             ModelID = "google/gemma-4-26b-a4b-it"
	Model__OrcaRouter__Gemma__4__31b__It__4                                                  ModelID = "google/gemma-4-31b-it"
	Model__OrcaRouter__Grok__4_3                                                             ModelID = "grok/grok-4.3"
	Model__OrcaRouter__Kimi__K2__5__2_5                                                      ModelID = "kimi/kimi-k2.5"
	Model__OrcaRouter__Kimi__K2__6__2_6                                                      ModelID = "kimi/kimi-k2.6"
	Model__OrcaRouter__MiniMax__M2__5__2_5                                                   ModelID = "minimax/minimax-m2.5"
	Model__OrcaRouter__MiniMax__M2__5__2_5__Highspeed                                        ModelID = "minimax/minimax-m2.5-highspeed"
	Model__OrcaRouter__MiniMax__M2__7__2_7                                                   ModelID = "minimax/minimax-m2.7"
	Model__OrcaRouter__MiniMax__M2__7__2_7__Highspeed                                        ModelID = "minimax/minimax-m2.7-highspeed"
	Model__OrcaRouter__Qwen3__5__122b__A10b__3_5                                             ModelID = "qwen/qwen3.5-122b-a10b"
	Model__OrcaRouter__Qwen3__5__27b__3_5                                                    ModelID = "qwen/qwen3.5-27b"
	Model__OrcaRouter__Qwen3__5__35b__A3b__3_5                                               ModelID = "qwen/qwen3.5-35b-a3b"
	Model__OrcaRouter__Qwen3__5__397b__A17b__3_5                                             ModelID = "qwen/qwen3.5-397b-a17b"
	Model__OrcaRouter__Qwen3__5__Plus__3_5                                                   ModelID = "qwen/qwen3.5-plus"
	Model__OrcaRouter__Qwen3__6__35b__A3b__3_6                                               ModelID = "qwen/qwen3.6-35b-a3b"
	Model__OrcaRouter__Qwen3__6__Plus__3_6                                                   ModelID = "qwen/qwen3.6-plus"
	Model__OrcaRouter__Qwen3__Max__3                                                         ModelID = "qwen/qwen3-max"
	Model__PerplexityAgent__Claude__Haiku__4_5                                               ModelID = "anthropic/claude-haiku-4-5"
	Model__PerplexityAgent__Claude__Opus__4_5                                                ModelID = "anthropic/claude-opus-4-5"
	Model__PerplexityAgent__Claude__Opus__4_6                                                ModelID = "anthropic/claude-opus-4-6"
	Model__PerplexityAgent__Claude__Opus__4_7                                                ModelID = "anthropic/claude-opus-4-7"
	Model__PerplexityAgent__Claude__Sonnet__4_5                                              ModelID = "anthropic/claude-sonnet-4-5"
	Model__PerplexityAgent__Claude__Sonnet__4_6                                              ModelID = "anthropic/claude-sonnet-4-6"
	Model__PerplexityAgent__GPT__5_1                                                         ModelID = "openai/gpt-5.1"
	Model__PerplexityAgent__GPT__5_2                                                         ModelID = "openai/gpt-5.2"
	Model__PerplexityAgent__GPT__5_4                                                         ModelID = "openai/gpt-5.4"
	Model__PerplexityAgent__GPT__5_5                                                         ModelID = "openai/gpt-5.5"
	Model__PerplexityAgent__GPT__5__Mini__5                                                  ModelID = "openai/gpt-5-mini"
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	Model__Poe__Claude__Code                                                                 ModelID = "poetools/claude-code"
	Model__Poe__Claude__Haiku__3                                                             ModelID = "anthropic/claude-haiku-3"
	Model__Poe__Claude__Haiku__3_5                                                           ModelID = "anthropic/claude-haiku-3.5"
	Model__Poe__Claude__Haiku__4_5                                                           ModelID = "anthropic/claude-haiku-4.5"
	Model__Poe__Claude__Opus__4                                                              ModelID = "anthropic/claude-opus-4"
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	Model__Poe__Claude__Opus__4_5                                                            ModelID = "anthropic/claude-opus-4.5"
	Model__Poe__Claude__Opus__4_6                                                            ModelID = "anthropic/claude-opus-4.6"
	Model__Poe__Claude__Opus__4_7                                                            ModelID = "anthropic/claude-opus-4.7"
	Model__Poe__Claude__Opus__4_8                                                            ModelID = "anthropic/claude-opus-4.8"
	Model__Poe__Claude__Sonnet__3_5                                                          ModelID = "anthropic/claude-sonnet-3.5"
	Model__Poe__Claude__Sonnet__3_7                                                          ModelID = "anthropic/claude-sonnet-3.7"
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	Model__Poe__Claude__Sonnet__4                                                            ModelID = "anthropic/claude-sonnet-4"
	Model__Poe__Claude__Sonnet__4_5                                                          ModelID = "anthropic/claude-sonnet-4.5"
	Model__Poe__Claude__Sonnet__4_6                                                          ModelID = "anthropic/claude-sonnet-4.6"
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	Model__Poe__DeepSeek__V4__Flash__El                                                      ModelID = "empiriolabs/deepseek-v4-flash-el"
	Model__Poe__DeepSeek__V4__Pro__El                                                        ModelID = "empiriolabs/deepseek-v4-pro-el"
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	Model__Poe__Elevenlabs__V2__5__Turbo                                                     ModelID = "elevenlabs/elevenlabs-v2.5-turbo"
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	Model__Poe__GLM__4_6                                                                     ModelID = "novita/glm-4.6"
	Model__Poe__GLM__4_7                                                                     ModelID = "novita/glm-4.7"
	Model__Poe__GLM__4__6v__4_6                                                              ModelID = "novita/glm-4.6v"
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	Model__Poe__GPT__4o                                                                      ModelID = "openai/gpt-4o"
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	Model__Poe__GPT__5                                                                       ModelID = "openai/gpt-5"
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	Model__Poe__Gemini__3__Flash__3                                                          ModelID = "google/gemini-3-flash"
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	Model__Poe__Grok__3                                                                      ModelID = "xai/grok-3"
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	Model__Poe__Grok__4                                                                      ModelID = "xai/grok-4"
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	Model__Poe__Ideogram                                                                     ModelID = "ideogramai/ideogram"
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	Model__QiniuAI__DeepSeek__Math__V2                                                       ModelID = "deepseek/deepseek-math-v2"
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	Model__QiniuAI__Kimi__K2__0905__2                                                        ModelID = "moonshotai/kimi-k2-0905"
	Model__QiniuAI__Kimi__K2__2                                                              ModelID = "kimi-k2"
	Model__QiniuAI__Kimi__K2__2__Thinking                                                    ModelID = "moonshotai/kimi-k2-thinking"
	Model__QiniuAI__Kimi__K2__5__2_5                                                         ModelID = "moonshotai/kimi-k2.5"
	Model__QiniuAI__Kling__V2__6                                                             ModelID = "kling-v2-6"
	Model__QiniuAI__Longcat__Flash__Chat                                                     ModelID = "meituan/longcat-flash-chat"
	Model__QiniuAI__Longcat__Flash__Lite                                                     ModelID = "meituan/longcat-flash-lite"
	Model__QiniuAI__Mimo__V2__Flash_1                                                        ModelID = "mimo-v2-flash"
	Model__QiniuAI__Mimo__V2__Flash_2                                                        ModelID = "xiaomi/mimo-v2-flash"
	Model__QiniuAI__MiniMax__M1__1                                                           ModelID = "MiniMax-M1"
	Model__QiniuAI__MiniMax__M2__1__2_1                                                      ModelID = "minimax/minimax-m2.1"
	Model__QiniuAI__MiniMax__M2__2                                                           ModelID = "minimax/minimax-m2"
	Model__QiniuAI__MiniMax__M2__5__2_5                                                      ModelID = "minimax/minimax-m2.5"
	Model__QiniuAI__MiniMax__M2__5__2_5__Highspeed                                           ModelID = "minimax/minimax-m2.5-highspeed"
	Model__QiniuAI__Qwen2__5__Vl__72b__2_5__Instruct                                         ModelID = "qwen2.5-vl-72b-instruct"
	Model__QiniuAI__Qwen2__5__Vl__7b__2_5__Instruct                                          ModelID = "qwen2.5-vl-7b-instruct"
	Model__QiniuAI__Qwen3__235b__A22b__3                                                     ModelID = "qwen3-235b-a22b"
	Model__QiniuAI__Qwen3__235b__A22b__Instruct__2507__3__Instruct                           ModelID = "qwen3-235b-a22b-instruct-2507"
	Model__QiniuAI__Qwen3__235b__A22b__Thinking__2507__3__Thinking                           ModelID = "qwen3-235b-a22b-thinking-2507"
	Model__QiniuAI__Qwen3__30b__A3b__3                                                       ModelID = "qwen3-30b-a3b"
	Model__QiniuAI__Qwen3__30b__A3b__Instruct__2507__3__Instruct                             ModelID = "qwen3-30b-a3b-instruct-2507"
	Model__QiniuAI__Qwen3__30b__A3b__Thinking__2507__3__Thinking                             ModelID = "qwen3-30b-a3b-thinking-2507"
	Model__QiniuAI__Qwen3__32b__3                                                            ModelID = "qwen3-32b"
	Model__QiniuAI__Qwen3__5__397b__A17b__3_5                                                ModelID = "qwen3.5-397b-a17b"
	Model__QiniuAI__Qwen3__Coder__480b__A35b__3__Instruct                                    ModelID = "qwen3-coder-480b-a35b-instruct"
	Model__QiniuAI__Qwen3__Max__3                                                            ModelID = "qwen3-max"
	Model__QiniuAI__Qwen3__Max__3__Preview                                                   ModelID = "qwen3-max-preview"
	Model__QiniuAI__Qwen3__Next__80b__A3b__3__Instruct                                       ModelID = "qwen3-next-80b-a3b-instruct"
	Model__QiniuAI__Qwen3__Next__80b__A3b__3__Thinking                                       ModelID = "qwen3-next-80b-a3b-thinking"
	Model__QiniuAI__Qwen3__Vl__30b__A3b__3__Thinking                                         ModelID = "qwen3-vl-30b-a3b-thinking"
	Model__QiniuAI__Qwen__Max__20250125                                                      ModelID = "qwen-max-2025-01-25"
	Model__QiniuAI__Qwen__Turbo                                                              ModelID = "qwen-turbo"
	Model__QiniuAI__Qwen__Vl__Max__20250125                                                  ModelID = "qwen-vl-max-2025-01-25"
	Model__QiniuAI__Step__3__5__Flash__3_5                                                   ModelID = "stepfun/step-3.5-flash"
	Model__RegoloAI__GPT__Oss__120b                                                          ModelID = "gpt-oss-120b"
	Model__RegoloAI__GPT__Oss__20b                                                           ModelID = "gpt-oss-20b"
	Model__RegoloAI__Llama__3__1__8b__3_1__Instruct                                          ModelID = "llama-3.1-8b-instruct"
	Model__RegoloAI__Llama__3__3__70b__3_3__Instruct                                         ModelID = "llama-3.3-70b-instruct"
	Model__RegoloAI__MiniMax__M2__5__2_5                                                     ModelID = "minimax-m2.5"
	Model__RegoloAI__Mistral__Small3__2                                                      ModelID = "mistral-small3.2"
	Model__RegoloAI__Mistral__Small__4__119b__4                                              ModelID = "mistral-small-4-119b"
	Model__RegoloAI__Qwen3__5__122b__3_5                                                     ModelID = "qwen3.5-122b"
	Model__RegoloAI__Qwen3__5__9b__3_5                                                       ModelID = "qwen3.5-9b"
	Model__RegoloAI__Qwen3__Coder__Next__3                                                   ModelID = "qwen3-coder-next"
	Model__RegoloAI__Qwen3__Embedding__8b__3                                                 ModelID = "qwen3-embedding-8b"
	Model__RegoloAI__Qwen3__Reranker__4b__3                                                  ModelID = "qwen3-reranker-4b"
	Model__RegoloAI__Qwen__Image                                                             ModelID = "qwen-image"
	Model__Requesty__Claude__3__7__Sonnet__3_7                                               ModelID = "anthropic/claude-3-7-sonnet"
	Model__Requesty__Claude__Haiku__4_5                                                      ModelID = "anthropic/claude-haiku-4-5"
	Model__Requesty__Claude__Opus__4                                                         ModelID = "anthropic/claude-opus-4"
	Model__Requesty__Claude__Opus__4_1                                                       ModelID = "anthropic/claude-opus-4-1"
	Model__Requesty__Claude__Opus__4_5                                                       ModelID = "anthropic/claude-opus-4-5"
	Model__Requesty__Claude__Opus__4_6                                                       ModelID = "anthropic/claude-opus-4-6"
	Model__Requesty__Claude__Sonnet__4                                                       ModelID = "anthropic/claude-sonnet-4"
	Model__Requesty__Claude__Sonnet__4_5                                                     ModelID = "anthropic/claude-sonnet-4-5"
	Model__Requesty__Claude__Sonnet__4_6                                                     ModelID = "anthropic/claude-sonnet-4-6"
	Model__Requesty__GPT__4_1                                                                ModelID = "openai/gpt-4.1"
	Model__Requesty__GPT__4__1__Mini__4_1                                                    ModelID = "openai/gpt-4.1-mini"
	Model__Requesty__GPT__4o__Mini                                                           ModelID = "openai/gpt-4o-mini"
	Model__Requesty__GPT__5                                                                  ModelID = "openai/gpt-5"
	Model__Requesty__GPT__5_1                                                                ModelID = "openai/gpt-5.1"
	Model__Requesty__GPT__5_1__Chat                                                          ModelID = "openai/gpt-5.1-chat"
	Model__Requesty__GPT__5_2                                                                ModelID = "openai/gpt-5.2"
	Model__Requesty__GPT__5_2__Chat                                                          ModelID = "openai/gpt-5.2-chat"
	Model__Requesty__GPT__5_4                                                                ModelID = "openai/gpt-5.4"
	Model__Requesty__GPT__5__1__Codex__5_1                                                   ModelID = "openai/gpt-5.1-codex"
	Model__Requesty__GPT__5__1__Codex__Max__5_1                                              ModelID = "openai/gpt-5.1-codex-max"
	Model__Requesty__GPT__5__1__Codex__Mini__5_1                                             ModelID = "openai/gpt-5.1-codex-mini"
	Model__Requesty__GPT__5__2__Codex__5_2                                                   ModelID = "openai/gpt-5.2-codex"
	Model__Requesty__GPT__5__2__Pro__5_2                                                     ModelID = "openai/gpt-5.2-pro"
	Model__Requesty__GPT__5__3__Codex__5_3                                                   ModelID = "openai/gpt-5.3-codex"
	Model__Requesty__GPT__5__4__Pro__5_4                                                     ModelID = "openai/gpt-5.4-pro"
	Model__Requesty__GPT__5__Chat                                                            ModelID = "openai/gpt-5-chat"
	Model__Requesty__GPT__5__Codex__5                                                        ModelID = "openai/gpt-5-codex"
	Model__Requesty__GPT__5__Image__5                                                        ModelID = "openai/gpt-5-image"
	Model__Requesty__GPT__5__Mini__5                                                         ModelID = "openai/gpt-5-mini"
	Model__Requesty__GPT__5__Nano__5                                                         ModelID = "openai/gpt-5-nano"
	Model__Requesty__GPT__5__Pro__5                                                          ModelID = "openai/gpt-5-pro"
	Model__Requesty__Gemini__2__5__Flash__2_5                                                ModelID = "google/gemini-2.5-flash"
	Model__Requesty__Gemini__2__5__Pro__2_5                                                  ModelID = "google/gemini-2.5-pro"
	Model__Requesty__Gemini__3__Flash__3__Preview                                            ModelID = "google/gemini-3-flash-preview"
	Model__Requesty__Gemini__3__Pro__3__Preview                                              ModelID = "google/gemini-3-pro-preview"
	Model__Requesty__Grok__4                                                                 ModelID = "xai/grok-4"
	Model__Requesty__Grok__4__Fast                                                           ModelID = "xai/grok-4-fast"
	Model__Requesty__O4__4__Mini                                                             ModelID = "openai/o4-mini"
	Model__RoutingRun__DeepSeek__V3__2                                                       ModelID = "route/deepseek-v3.2"
	Model__RoutingRun__DeepSeek__V4__Flash                                                   ModelID = "route/deepseek-v4-flash"
	Model__RoutingRun__DeepSeek__V4__Flash__6bit                                             ModelID = "route/deepseek-v4-flash-6bit"
	Model__RoutingRun__DeepSeek__V4__Pro__6bit__Thinking                                     ModelID = "route/deepseek-v4-pro-6bit"
	Model__RoutingRun__DeepSeek__V4__Pro__Thinking                                           ModelID = "route/deepseek-v4-pro"
	Model__RoutingRun__GLM__5_1                                                              ModelID = "route/glm-5.1"
	Model__RoutingRun__GLM__5__1__6bit__5_1                                                  ModelID = "route/glm-5.1-6bit"
	Model__RoutingRun__Gemma__4__31b__It__4                                                  ModelID = "route/gemma-4-31b-it"
	Model__RoutingRun__Kimi__K2__5__2_5                                                      ModelID = "route/kimi-k2.5"
	Model__RoutingRun__Kimi__K2__6__2_6                                                      ModelID = "route/kimi-k2.6"
	Model__RoutingRun__Kimi__K2__6__6bit                                                     ModelID = "route/kimi-k2.6-6bit"
	Model__RoutingRun__Mimo__V2__5__2_5                                                      ModelID = "route/mimo-v2.5"
	Model__RoutingRun__Mimo__V2__5__2_5__Pro                                                 ModelID = "route/mimo-v2.5-pro"
	Model__RoutingRun__Mimo__V2__5__Pro__6bit                                                ModelID = "route/mimo-v2.5-pro-6bit"
	Model__RoutingRun__MiniMax__M2__5__2_5                                                   ModelID = "route/minimax-m2.5"
	Model__RoutingRun__MiniMax__M2__5__2_5__Highspeed                                        ModelID = "route/minimax-m2.5-highspeed"
	Model__RoutingRun__MiniMax__M2__7__2_7                                                   ModelID = "route/minimax-m2.7"
	Model__RoutingRun__MiniMax__M2__7__2_7__Highspeed                                        ModelID = "route/minimax-m2.7-highspeed"
	Model__RoutingRun__Mistral__Large__3                                                     ModelID = "route/mistral-large-3"
	Model__RoutingRun__Mistral__Medium__2505                                                 ModelID = "route/mistral-medium-2505"
	Model__RoutingRun__Mistral__Small__2503                                                  ModelID = "route/mistral-small-2503"
	Model__RoutingRun__Qwen3__6__27b__202k__3_6                                              ModelID = "route/qwen3.6-27b-202k"
	Model__RoutingRun__Qwen3__6__27b__3_6                                                    ModelID = "route/qwen3.6-27b"
	Model__RoutingRun__Step__3__5__Flash__2603__3_5                                          ModelID = "route/step-3.5-flash-2603"
	Model__RoutingRun__Step__3__5__Flash__3_5                                                ModelID = "route/step-3.5-flash"
	Model__RoutingRun__Stepfun__3__5__Flash__3_5                                             ModelID = "route/stepfun-3.5-flash"
	Model__SAPAICore__Anthropic__Claude__3__5__Sonnet                                        ModelID = "anthropic--claude-3.5-sonnet"
	Model__SAPAICore__Anthropic__Claude__3__7__Sonnet                                        ModelID = "anthropic--claude-3.7-sonnet"
	Model__SAPAICore__Anthropic__Claude__3__Haiku                                            ModelID = "anthropic--claude-3-haiku"
	Model__SAPAICore__Anthropic__Claude__3__Opus                                             ModelID = "anthropic--claude-3-opus"
	Model__SAPAICore__Anthropic__Claude__3__Sonnet                                           ModelID = "anthropic--claude-3-sonnet"
	Model__SAPAICore__Anthropic__Claude__4__5__Haiku                                         ModelID = "anthropic--claude-4.5-haiku"
	Model__SAPAICore__Anthropic__Claude__4__5__Opus                                          ModelID = "anthropic--claude-4.5-opus"
	Model__SAPAICore__Anthropic__Claude__4__5__Sonnet                                        ModelID = "anthropic--claude-4.5-sonnet"
	Model__SAPAICore__Anthropic__Claude__4__6__Opus                                          ModelID = "anthropic--claude-4.6-opus"
	Model__SAPAICore__Anthropic__Claude__4__6__Sonnet                                        ModelID = "anthropic--claude-4.6-sonnet"
	Model__SAPAICore__Anthropic__Claude__4__7__Opus                                          ModelID = "anthropic--claude-4.7-opus"
	Model__SAPAICore__Anthropic__Claude__4__Opus                                             ModelID = "anthropic--claude-4-opus"
	Model__SAPAICore__Anthropic__Claude__4__Sonnet                                           ModelID = "anthropic--claude-4-sonnet"
	Model__SAPAICore__GPT__4_1                                                               ModelID = "gpt-4.1"
	Model__SAPAICore__GPT__4__1__Mini__4_1                                                   ModelID = "gpt-4.1-mini"
	Model__SAPAICore__GPT__5                                                                 ModelID = "gpt-5"
	Model__SAPAICore__GPT__5_4                                                               ModelID = "gpt-5.4"
	Model__SAPAICore__GPT__5__Mini__5                                                        ModelID = "gpt-5-mini"
	Model__SAPAICore__GPT__5__Nano__5                                                        ModelID = "gpt-5-nano"
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	Model__SAPAICore__Gemini__2__5__Flash__Lite__2_5                                         ModelID = "gemini-2.5-flash-lite"
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	Model__SAPAICore__Sonar                                                                  ModelID = "sonar"
	Model__SAPAICore__Sonar__Deep__Research                                                  ModelID = "sonar-deep-research"
	Model__SAPAICore__Sonar__Pro                                                             ModelID = "sonar-pro"
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	Model__STACKIT__GPT__Oss__120b                                                           ModelID = "openai/gpt-oss-120b"
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	Model__STACKIT__Llama__3__3__70B__Instruct__Fp8__Dynamic__3_3__Instruct                  ModelID = "cortecs/Llama-3.3-70B-Instruct-FP8-Dynamic"
	Model__STACKIT__Meta__Llama__3__1__8B__Instruct__Fp8__3_1__Instruct                      ModelID = "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8"
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	Model__STACKIT__Qwen3__Vl__235B__A22b__Instruct__Fp8__3__Instruct                        ModelID = "Qwen/Qwen3-VL-235B-A22B-Instruct-FP8"
	Model__STACKIT__Qwen3__Vl__Embedding__8B__3                                              ModelID = "Qwen/Qwen3-VL-Embedding-8B"
	Model__Sarvam__Sarvam__105b                                                              ModelID = "sarvam-105b"
	Model__Sarvam__Sarvam__30b                                                               ModelID = "sarvam-30b"
	Model__Scaleway__Bge__Multilingual__Gemma2                                               ModelID = "bge-multilingual-gemma2"
	Model__Scaleway__Devstral__2__123b__Instruct__2512__2__Instruct                          ModelID = "devstral-2-123b-instruct-2512"
	Model__Scaleway__GPT__Oss__120b                                                          ModelID = "gpt-oss-120b"
	Model__Scaleway__Gemma__3__27b__It__3                                                    ModelID = "gemma-3-27b-it"
	Model__Scaleway__Gemma__4__26b__A4b__It__4                                               ModelID = "gemma-4-26b-a4b-it"
	Model__Scaleway__Llama__3__3__70b__3_3__Instruct                                         ModelID = "llama-3.3-70b-instruct"
	Model__Scaleway__Mistral__Medium__3__5__128b__3_5                                        ModelID = "mistral-medium-3.5-128b"
	Model__Scaleway__Mistral__Small__3__2__24b__Instruct__2506__3_2__Instruct                ModelID = "mistral-small-3.2-24b-instruct-2506"
	Model__Scaleway__Pixtral__12b__2409                                                      ModelID = "pixtral-12b-2409"
	Model__Scaleway__Qwen3__235b__A22b__Instruct__2507__3__Instruct                          ModelID = "qwen3-235b-a22b-instruct-2507"
	Model__Scaleway__Qwen3__5__397b__A17b__3_5                                               ModelID = "qwen3.5-397b-a17b"
	Model__Scaleway__Qwen3__6__35b__A3b__3_6                                                 ModelID = "qwen3.6-35b-a3b"
	Model__Scaleway__Qwen3__Coder__30b__A3b__3__Instruct                                     ModelID = "qwen3-coder-30b-a3b-instruct"
	Model__Scaleway__Qwen3__Embedding__8b__3                                                 ModelID = "qwen3-embedding-8b"
	Model__Scaleway__Voxtral__Small__24b__2507                                               ModelID = "voxtral-small-24b-2507"
	Model__Scaleway__Whisper__Large__V3__3                                                   ModelID = "whisper-large-v3"
	Model__SiliconFlowCN__DeepSeek__Ocr                                                      ModelID = "deepseek-ai/DeepSeek-OCR"
	Model__SiliconFlowCN__DeepSeek__R1__Distill__Qwen__14B                                   ModelID = "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"
	Model__SiliconFlowCN__DeepSeek__R1__Distill__Qwen__32B                                   ModelID = "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"
	Model__SiliconFlowCN__DeepSeek__R1__Thinking_1                                           ModelID = "Pro/deepseek-ai/DeepSeek-R1"
	Model__SiliconFlowCN__DeepSeek__R1__Thinking_2                                           ModelID = "deepseek-ai/DeepSeek-R1"
	Model__SiliconFlowCN__DeepSeek__V3_1                                                     ModelID = "Pro/deepseek-ai/DeepSeek-V3"
	Model__SiliconFlowCN__DeepSeek__V3_2                                                     ModelID = "deepseek-ai/DeepSeek-V3"
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	Model__SiliconFlowCN__DeepSeek__V3__2_1                                                  ModelID = "Pro/deepseek-ai/DeepSeek-V3.2"
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	Model__SiliconFlowCN__DeepSeek__Vl2                                                      ModelID = "deepseek-ai/deepseek-vl2"
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	Model__SiliconFlowCN__GLM__4_6                                                           ModelID = "zai-org/GLM-4.6"
	Model__SiliconFlowCN__GLM__4_7                                                           ModelID = "Pro/zai-org/GLM-4.7"
	Model__SiliconFlowCN__GLM__4__32B__0414__4                                               ModelID = "THUDM/GLM-4-32B-0414"
	Model__SiliconFlowCN__GLM__4__5V__4_5                                                    ModelID = "zai-org/GLM-4.5V"
	Model__SiliconFlowCN__GLM__4__5__Air__4_5                                                ModelID = "zai-org/GLM-4.5-Air"
	Model__SiliconFlowCN__GLM__4__6V__4_6                                                    ModelID = "zai-org/GLM-4.6V"
	Model__SiliconFlowCN__GLM__4__9B__0414__4                                                ModelID = "THUDM/GLM-4-9B-0414"
	Model__SiliconFlowCN__GLM__5                                                             ModelID = "Pro/zai-org/GLM-5"
	Model__SiliconFlowCN__GLM__5_1                                                           ModelID = "Pro/zai-org/GLM-5.1"
	Model__SiliconFlowCN__GLM__Z1__32B__0414                                                 ModelID = "THUDM/GLM-Z1-32B-0414"
	Model__SiliconFlowCN__GLM__Z1__9B__0414                                                  ModelID = "THUDM/GLM-Z1-9B-0414"
	Model__SiliconFlowCN__Hunyuan__A13b__Instruct                                            ModelID = "tencent/Hunyuan-A13B-Instruct"
	Model__SiliconFlowCN__Hunyuan__Mt__7B                                                    ModelID = "tencent/Hunyuan-MT-7B"
	Model__SiliconFlowCN__Kat__Dev                                                           ModelID = "Kwaipilot/KAT-Dev"
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	Model__SiliconFlowCN__Kimi__K2__5__2_5                                                   ModelID = "Pro/moonshotai/Kimi-K2.5"
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	Model__SiliconFlowCN__Kimi__K2__Instruct__0905__2__Instruct_2                            ModelID = "moonshotai/Kimi-K2-Instruct-0905"
	Model__SiliconFlowCN__Ling__Flash__2_0                                                   ModelID = "inclusionAI/Ling-flash-2.0"
	Model__SiliconFlowCN__Ling__Mini__2_0                                                    ModelID = "inclusionAI/Ling-mini-2.0"
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	Model__SiliconFlowCN__Paddleocr__Vl                                                      ModelID = "PaddlePaddle/PaddleOCR-VL"
	Model__SiliconFlowCN__Paddleocr__Vl__1_5                                                 ModelID = "PaddlePaddle/PaddleOCR-VL-1.5"
	Model__SiliconFlowCN__Pangu__Pro__Moe                                                    ModelID = "ascend-tribe/pangu-pro-moe"
	Model__SiliconFlowCN__Qwen2__5__14B__2_5__Instruct                                       ModelID = "Qwen/Qwen2.5-14B-Instruct"
	Model__SiliconFlowCN__Qwen2__5__32B__2_5__Instruct                                       ModelID = "Qwen/Qwen2.5-32B-Instruct"
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	Model__TogetherAI__DeepSeek__V3                                                          ModelID = "deepseek-ai/DeepSeek-V3"
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	Model__TogetherAI__GPT__Oss__120b                                                        ModelID = "openai/gpt-oss-120b"
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	Model__Venice__Claude__Opus__4_7                                                         ModelID = "claude-opus-4-7"
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	Model__Venice__Claude__Sonnet__4_5                                                       ModelID = "claude-sonnet-4-5"
	Model__Venice__Claude__Sonnet__4_6                                                       ModelID = "claude-sonnet-4-6"
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	Model__Venice__Grok__4_20                                                                ModelID = "grok-4-20"
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	Model__Venice__MiniMax__M25__25                                                          ModelID = "minimax-m25"
	Model__Venice__MiniMax__M27__27                                                          ModelID = "minimax-m27"
	Model__Venice__Mistral__Small__2603                                                      ModelID = "mistral-small-2603"
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	Model__Venice__OpenAI__GPT__52                                                           ModelID = "openai-gpt-52"
	Model__Venice__OpenAI__GPT__52__Codex                                                    ModelID = "openai-gpt-52-codex"
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	Model__Venice__OpenAI__GPT__54                                                           ModelID = "openai-gpt-54"
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	Model__Venice__OpenAI__GPT__55                                                           ModelID = "openai-gpt-55"
	Model__Venice__OpenAI__GPT__55__Pro                                                      ModelID = "openai-gpt-55-pro"
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	Model__Venice__Qwen__3__7__Max__3_7                                                      ModelID = "qwen-3-7-max"
	Model__Venice__Venice__Uncensored__1_2                                                   ModelID = "venice-uncensored-1-2"
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	Model__Venice__Z__AI__GLM__5__Turbo                                                      ModelID = "z-ai-glm-5-turbo"
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	Model__Venice__Zai__Org__GLM__4__6                                                       ModelID = "zai-org-glm-4.6"
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	Model__Venice__Zai__Org__GLM__5                                                          ModelID = "zai-org-glm-5"
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	Model__Vercel__Claude__3__5__Haiku__3_5                                                  ModelID = "anthropic/claude-3.5-haiku"
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	Model__Vercel__Claude__3__Haiku__3                                                       ModelID = "anthropic/claude-3-haiku"
	Model__Vercel__Claude__3__Opus__3                                                        ModelID = "anthropic/claude-3-opus"
	Model__Vercel__Claude__Haiku__4_5                                                        ModelID = "anthropic/claude-haiku-4.5"
	Model__Vercel__Claude__Opus__4                                                           ModelID = "anthropic/claude-opus-4"
	Model__Vercel__Claude__Opus__4_1                                                         ModelID = "anthropic/claude-opus-4.1"
	Model__Vercel__Claude__Opus__4_5                                                         ModelID = "anthropic/claude-opus-4.5"
	Model__Vercel__Claude__Opus__4_6                                                         ModelID = "anthropic/claude-opus-4.6"
	Model__Vercel__Claude__Opus__4_7                                                         ModelID = "anthropic/claude-opus-4.7"
	Model__Vercel__Claude__Opus__4_8                                                         ModelID = "anthropic/claude-opus-4.8"
	Model__Vercel__Claude__Sonnet__4                                                         ModelID = "anthropic/claude-sonnet-4"
	Model__Vercel__Claude__Sonnet__4_5                                                       ModelID = "anthropic/claude-sonnet-4.5"
	Model__Vercel__Claude__Sonnet__4_6                                                       ModelID = "anthropic/claude-sonnet-4.6"
	Model__Vercel__Codestral                                                                 ModelID = "mistral/codestral"
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	Model__Vercel__Codex__Mini                                                               ModelID = "openai/codex-mini"
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	Model__Vercel__DeepSeek__R1__Thinking                                                    ModelID = "deepseek/deepseek-r1"
	Model__Vercel__DeepSeek__V3                                                              ModelID = "deepseek/deepseek-v3"
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	Model__Vercel__DeepSeek__V4__Flash                                                       ModelID = "deepseek/deepseek-v4-flash"
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	Model__Vercel__GLM__4_5                                                                  ModelID = "zai/glm-4.5"
	Model__Vercel__GLM__4_6                                                                  ModelID = "zai/glm-4.6"
	Model__Vercel__GLM__4_7                                                                  ModelID = "zai/glm-4.7"
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	Model__Vercel__GLM__5_1                                                                  ModelID = "zai/glm-5.1"
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	Model__Vercel__GPT__4_1                                                                  ModelID = "openai/gpt-4.1"
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	Model__Vercel__GPT__4o                                                                   ModelID = "openai/gpt-4o"
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	Model__Vercel__GPT__5                                                                    ModelID = "openai/gpt-5"
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	Model__Vercel__GPT__5_2                                                                  ModelID = "openai/gpt-5.2"
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	Model__Vercel__GPT__5_4                                                                  ModelID = "openai/gpt-5.4"
	Model__Vercel__GPT__5_5                                                                  ModelID = "openai/gpt-5.5"
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	Model__Vercel__GPT__5__Chat                                                              ModelID = "openai/gpt-5-chat"
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	Model__Vercel__GPT__Oss__120b                                                            ModelID = "openai/gpt-oss-120b"
	Model__Vercel__GPT__Oss__20b                                                             ModelID = "openai/gpt-oss-20b"
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	Model__Vercel__Gemini__Embedding__001                                                    ModelID = "google/gemini-embedding-001"
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	Model__Vercel__Recraft__V2                                                               ModelID = "recraft/recraft-v2"
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	Model__ZaiCodingPlan__GLM__4_7                                                           ModelID = "glm-4.7"
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	Model__Zai__GLM__4_5                                                                     ModelID = "glm-4.5"
	Model__Zai__GLM__4_6                                                                     ModelID = "glm-4.6"
	Model__Zai__GLM__4_7                                                                     ModelID = "glm-4.7"
	Model__Zai__GLM__4__5__Air__4_5                                                          ModelID = "glm-4.5-air"
	Model__Zai__GLM__4__5__Flash__4_5                                                        ModelID = "glm-4.5-flash"
	Model__Zai__GLM__4__5v__4_5                                                              ModelID = "glm-4.5v"
	Model__Zai__GLM__4__6v__4_6                                                              ModelID = "glm-4.6v"
	Model__Zai__GLM__4__7__Flash__4_7                                                        ModelID = "glm-4.7-flash"
	Model__Zai__GLM__4__7__Flashx__4_7                                                       ModelID = "glm-4.7-flashx"
	Model__Zai__GLM__5                                                                       ModelID = "glm-5"
	Model__Zai__GLM__5_1                                                                     ModelID = "glm-5.1"
	Model__Zai__GLM__5__Turbo                                                                ModelID = "glm-5-turbo"
	Model__Zai__GLM__5v__5__Turbo                                                            ModelID = "glm-5v-turbo"
	Model__ZenMux__Agnes__1__5__Lite__1_5                                                    ModelID = "sapiens-ai/agnes-1.5-lite"
	Model__ZenMux__Agnes__1__5__Pro__1_5                                                     ModelID = "sapiens-ai/agnes-1.5-pro"
	Model__ZenMux__Claude__3__5__Haiku__3_5                                                  ModelID = "anthropic/claude-3.5-haiku"
	Model__ZenMux__Claude__3__7__Sonnet__3_7                                                 ModelID = "anthropic/claude-3.7-sonnet"
	Model__ZenMux__Claude__Haiku__4_5                                                        ModelID = "anthropic/claude-haiku-4.5"
	Model__ZenMux__Claude__Opus__4                                                           ModelID = "anthropic/claude-opus-4"
	Model__ZenMux__Claude__Opus__4_1                                                         ModelID = "anthropic/claude-opus-4.1"
	Model__ZenMux__Claude__Opus__4_5                                                         ModelID = "anthropic/claude-opus-4.5"
	Model__ZenMux__Claude__Opus__4_6                                                         ModelID = "anthropic/claude-opus-4.6"
	Model__ZenMux__Claude__Opus__4_7                                                         ModelID = "anthropic/claude-opus-4.7"
	Model__ZenMux__Claude__Sonnet__4                                                         ModelID = "anthropic/claude-sonnet-4"
	Model__ZenMux__Claude__Sonnet__4_5                                                       ModelID = "anthropic/claude-sonnet-4.5"
	Model__ZenMux__Claude__Sonnet__4_6                                                       ModelID = "anthropic/claude-sonnet-4.6"
	Model__ZenMux__DeepSeek__Chat                                                            ModelID = "deepseek/deepseek-chat"
	Model__ZenMux__DeepSeek__V3__2                                                           ModelID = "deepseek/deepseek-v3.2"
	Model__ZenMux__DeepSeek__V3__2__Exp                                                      ModelID = "deepseek/deepseek-v3.2-exp"
	Model__ZenMux__DeepSeek__V4__Flash                                                       ModelID = "deepseek/deepseek-v4-flash"
	Model__ZenMux__DeepSeek__V4__Pro__Thinking                                               ModelID = "deepseek/deepseek-v4-pro"
	Model__ZenMux__Doubao__Seed__1_8                                                         ModelID = "volcengine/doubao-seed-1.8"
	Model__ZenMux__Doubao__Seed__2_0__Code                                                   ModelID = "volcengine/doubao-seed-2.0-code"
	Model__ZenMux__Doubao__Seed__2__0__Lite__2_0                                             ModelID = "volcengine/doubao-seed-2.0-lite"
	Model__ZenMux__Doubao__Seed__2__0__Mini__2_0                                             ModelID = "volcengine/doubao-seed-2.0-mini"
	Model__ZenMux__Doubao__Seed__2__0__Pro__2_0                                              ModelID = "volcengine/doubao-seed-2.0-pro"
	Model__ZenMux__Doubao__Seed__Code                                                        ModelID = "volcengine/doubao-seed-code"
	Model__ZenMux__Ernie__5_0__ThinkingPreview                                               ModelID = "baidu/ernie-5.0-thinking-preview"
	Model__ZenMux__GLM__4_5                                                                  ModelID = "z-ai/glm-4.5"
	Model__ZenMux__GLM__4_6                                                                  ModelID = "z-ai/glm-4.6"
	Model__ZenMux__GLM__4_7                                                                  ModelID = "z-ai/glm-4.7"
	Model__ZenMux__GLM__4__5__Air__4_5                                                       ModelID = "z-ai/glm-4.5-air"
	Model__ZenMux__GLM__4__6v__4_6                                                           ModelID = "z-ai/glm-4.6v"
	Model__ZenMux__GLM__4__6v__4_6__Flash                                                    ModelID = "z-ai/glm-4.6v-flash"
	Model__ZenMux__GLM__4__6v__Flash__Free__4_6__Flash                                       ModelID = "z-ai/glm-4.6v-flash-free"
	Model__ZenMux__GLM__4__7__Flash__Free__4_7                                               ModelID = "z-ai/glm-4.7-flash-free"
	Model__ZenMux__GLM__4__7__Flashx__4_7                                                    ModelID = "z-ai/glm-4.7-flashx"
	Model__ZenMux__GLM__5                                                                    ModelID = "z-ai/glm-5"
	Model__ZenMux__GLM__5_1                                                                  ModelID = "z-ai/glm-5.1"
	Model__ZenMux__GLM__5__Turbo                                                             ModelID = "z-ai/glm-5-turbo"
	Model__ZenMux__GLM__5v__5__Turbo                                                         ModelID = "z-ai/glm-5v-turbo"
	Model__ZenMux__GPT__5                                                                    ModelID = "openai/gpt-5"
	Model__ZenMux__GPT__5_1                                                                  ModelID = "openai/gpt-5.1"
	Model__ZenMux__GPT__5_1__Chat                                                            ModelID = "openai/gpt-5.1-chat"
	Model__ZenMux__GPT__5_2                                                                  ModelID = "openai/gpt-5.2"
	Model__ZenMux__GPT__5_3__Chat                                                            ModelID = "openai/gpt-5.3-chat"
	Model__ZenMux__GPT__5_4                                                                  ModelID = "openai/gpt-5.4"
	Model__ZenMux__GPT__5_5                                                                  ModelID = "openai/gpt-5.5"
	Model__ZenMux__GPT__5__1__Codex__5_1                                                     ModelID = "openai/gpt-5.1-codex"
	Model__ZenMux__GPT__5__1__Codex__Mini__5_1                                               ModelID = "openai/gpt-5.1-codex-mini"
	Model__ZenMux__GPT__5__2__Codex__5_2                                                     ModelID = "openai/gpt-5.2-codex"
	Model__ZenMux__GPT__5__2__Pro__5_2                                                       ModelID = "openai/gpt-5.2-pro"
	Model__ZenMux__GPT__5__3__Codex__5_3                                                     ModelID = "openai/gpt-5.3-codex"
	Model__ZenMux__GPT__5__4__Mini__5_4                                                      ModelID = "openai/gpt-5.4-mini"
	Model__ZenMux__GPT__5__4__Nano__5_4                                                      ModelID = "openai/gpt-5.4-nano"
	Model__ZenMux__GPT__5__4__Pro__5_4                                                       ModelID = "openai/gpt-5.4-pro"
	Model__ZenMux__GPT__5__5__Pro__5_5                                                       ModelID = "openai/gpt-5.5-pro"
	Model__ZenMux__GPT__5__Codex__5                                                          ModelID = "openai/gpt-5-codex"
	Model__ZenMux__Gemini__2__5__Flash__2_5                                                  ModelID = "google/gemini-2.5-flash"
	Model__ZenMux__Gemini__2__5__Flash__Lite__2_5                                            ModelID = "google/gemini-2.5-flash-lite"
	Model__ZenMux__Gemini__2__5__Pro__2_5                                                    ModelID = "google/gemini-2.5-pro"
	Model__ZenMux__Gemini__3__1__Flash__Lite__3_1__Preview                                   ModelID = "google/gemini-3.1-flash-lite-preview"
	Model__ZenMux__Gemini__3__1__Pro__3_1__Preview                                           ModelID = "google/gemini-3.1-pro-preview"
	Model__ZenMux__Gemini__3__Flash__3__Preview                                              ModelID = "google/gemini-3-flash-preview"
	Model__ZenMux__Grok__4                                                                   ModelID = "x-ai/grok-4"
	Model__ZenMux__Grok__4_1__Fast                                                           ModelID = "x-ai/grok-4.1-fast"
	Model__ZenMux__Grok__4_2__Fast                                                           ModelID = "x-ai/grok-4.2-fast"
	Model__ZenMux__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning                      ModelID = "x-ai/grok-4.1-fast-non-reasoning"
	Model__ZenMux__Grok__4__2__Fast__Non__Reasoning__4_2__Non_Reasoning                      ModelID = "x-ai/grok-4.2-fast-non-reasoning"
	Model__ZenMux__Grok__4__Fast                                                             ModelID = "x-ai/grok-4-fast"
	Model__ZenMux__Grok__Code__Fast__1                                                       ModelID = "x-ai/grok-code-fast-1"
	Model__ZenMux__Hy3__3__Preview                                                           ModelID = "tencent/hy3-preview"
	Model__ZenMux__Kat__Coder__Pro__V2                                                       ModelID = "kuaishou/kat-coder-pro-v2"
	Model__ZenMux__Kimi__K2__0905__2                                                         ModelID = "moonshotai/kimi-k2-0905"
	Model__ZenMux__Kimi__K2__2__Thinking                                                     ModelID = "moonshotai/kimi-k2-thinking"
	Model__ZenMux__Kimi__K2__2__ThinkingTurbo                                                ModelID = "moonshotai/kimi-k2-thinking-turbo"
	Model__ZenMux__Kimi__K2__5__2_5                                                          ModelID = "moonshotai/kimi-k2.5"
	Model__ZenMux__Kimi__K2__6__2_6                                                          ModelID = "moonshotai/kimi-k2.6"
	Model__ZenMux__Ling__1t                                                                  ModelID = "inclusionai/ling-1t"
	Model__ZenMux__Mimo__V2__2__Omni                                                         ModelID = "xiaomi/mimo-v2-omni"
	Model__ZenMux__Mimo__V2__2__Pro                                                          ModelID = "xiaomi/mimo-v2-pro"
	Model__ZenMux__Mimo__V2__5__2_5                                                          ModelID = "xiaomi/mimo-v2.5"
	Model__ZenMux__Mimo__V2__5__2_5__Pro                                                     ModelID = "xiaomi/mimo-v2.5-pro"
	Model__ZenMux__Mimo__V2__Flash                                                           ModelID = "xiaomi/mimo-v2-flash"
	Model__ZenMux__MiniMax__M2__1__2_1                                                       ModelID = "minimax/minimax-m2.1"
	Model__ZenMux__MiniMax__M2__2                                                            ModelID = "minimax/minimax-m2"
	Model__ZenMux__MiniMax__M2__5__2_5                                                       ModelID = "minimax/minimax-m2.5"
	Model__ZenMux__MiniMax__M2__5__2_5__Lightning                                            ModelID = "minimax/minimax-m2.5-lightning"
	Model__ZenMux__MiniMax__M2__7__2_7                                                       ModelID = "minimax/minimax-m2.7"
	Model__ZenMux__MiniMax__M2__7__2_7__Highspeed                                            ModelID = "minimax/minimax-m2.7-highspeed"
	Model__ZenMux__Qwen3__5__Flash__3_5                                                      ModelID = "qwen/qwen3.5-flash"
	Model__ZenMux__Qwen3__5__Plus__3_5                                                       ModelID = "qwen/qwen3.5-plus"
	Model__ZenMux__Qwen3__6__Plus__3_6                                                       ModelID = "qwen/qwen3.6-plus"
	Model__ZenMux__Qwen3__Coder__Plus__3                                                     ModelID = "qwen/qwen3-coder-plus"
	Model__ZenMux__Qwen3__Max__3                                                             ModelID = "qwen/qwen3-max"
	Model__ZenMux__Ring__1t                                                                  ModelID = "inclusionai/ring-1t"
	Model__ZenMux__Step__3                                                                   ModelID = "stepfun/step-3"
	Model__ZenMux__Step__3__5__Flash__3_5                                                    ModelID = "stepfun/step-3.5-flash"
	Model__ZenMux__Step__3__5__Flash__Free__3_5                                              ModelID = "stepfun/step-3.5-flash-free"
	Model__ZhipuaiCodingPlan__GLM__4_7                                                       ModelID = "glm-4.7"
	Model__ZhipuaiCodingPlan__GLM__4__5__Air__4_5                                            ModelID = "glm-4.5-air"
	Model__ZhipuaiCodingPlan__GLM__5_1                                                       ModelID = "glm-5.1"
	Model__ZhipuaiCodingPlan__GLM__5__Turbo                                                  ModelID = "glm-5-turbo"
	Model__ZhipuaiCodingPlan__GLM__5v__5__Turbo                                              ModelID = "glm-5v-turbo"
	Model__Zhipuai__GLM__4_5                                                                 ModelID = "glm-4.5"
	Model__Zhipuai__GLM__4_6                                                                 ModelID = "glm-4.6"
	Model__Zhipuai__GLM__4_7                                                                 ModelID = "glm-4.7"
	Model__Zhipuai__GLM__4__5__Air__4_5                                                      ModelID = "glm-4.5-air"
	Model__Zhipuai__GLM__4__5__Flash__4_5                                                    ModelID = "glm-4.5-flash"
	Model__Zhipuai__GLM__4__5v__4_5                                                          ModelID = "glm-4.5v"
	Model__Zhipuai__GLM__4__6v__4_6                                                          ModelID = "glm-4.6v"
	Model__Zhipuai__GLM__4__7__Flash__4_7                                                    ModelID = "glm-4.7-flash"
	Model__Zhipuai__GLM__4__7__Flashx__4_7                                                   ModelID = "glm-4.7-flashx"
	Model__Zhipuai__GLM__5                                                                   ModelID = "glm-5"
	Model__Zhipuai__GLM__5_1                                                                 ModelID = "glm-5.1"
	Model__Zhipuai__GLM__5v__5__Turbo                                                        ModelID = "glm-5v-turbo"
	Model__iFlowCN__DeepSeek__R1__Thinking                                                   ModelID = "deepseek-r1"
	Model__iFlowCN__DeepSeek__V3                                                             ModelID = "deepseek-v3"
	Model__iFlowCN__DeepSeek__V3__2                                                          ModelID = "deepseek-v3.2"
	Model__iFlowCN__GLM__4_6                                                                 ModelID = "glm-4.6"
	Model__iFlowCN__Kimi__K2__0905__2                                                        ModelID = "kimi-k2-0905"
	Model__iFlowCN__Kimi__K2__2                                                              ModelID = "kimi-k2"
	Model__iFlowCN__Qwen3__235b__3                                                           ModelID = "qwen3-235b"
	Model__iFlowCN__Qwen3__235b__A22b__3__Instruct                                           ModelID = "qwen3-235b-a22b-instruct"
	Model__iFlowCN__Qwen3__235b__A22b__Thinking__2507__3__Thinking                           ModelID = "qwen3-235b-a22b-thinking-2507"
	Model__iFlowCN__Qwen3__32b__3                                                            ModelID = "qwen3-32b"
	Model__iFlowCN__Qwen3__Coder__Plus__3                                                    ModelID = "qwen3-coder-plus"
	Model__iFlowCN__Qwen3__Max__3                                                            ModelID = "qwen3-max"
	Model__iFlowCN__Qwen3__Max__3__Preview                                                   ModelID = "qwen3-max-preview"
	Model__iFlowCN__Qwen3__Vl__Plus__3                                                       ModelID = "qwen3-vl-plus"
	Model__xAI__Grok__4_3                                                                    ModelID = "grok-4.3"
	Model__xAI__Grok__4__20__0309__4_20__Reasoning                                           ModelID = "grok-4.20-0309-reasoning"
	Model__xAI__Grok__4__20__0309__Non__Reasoning__4_20__Non_Reasoning                       ModelID = "grok-4.20-0309-non-reasoning"
	Model__xAI__Grok__4__20__Multi__Agent__0309__4_20                                        ModelID = "grok-4.20-multi-agent-0309"
	Model__xAI__Grok__Build__0_1                                                             ModelID = "grok-build-0.1"
	Model__xAI__Grok__Imagine__Image                                                         ModelID = "grok-imagine-image"
	Model__xAI__Grok__Imagine__Image__Quality                                                ModelID = "grok-imagine-image-quality"
	Model__xAI__Grok__Imagine__Video                                                         ModelID = "grok-imagine-video"
)

Model__* constants provide compile-time references to every eligible model in the static model registry. Names follow the pattern:

Model__<Provider>__<Family>__<Variant>?__<Version>?__<Date>?

where each component uses the same casing rules as Provider and Family constants. Double underscores separate top-level components; single underscores appear only within a component (e.g. version "4.5" → "4_5", "4o" stays "4o" within a component).

func ModelIDs

func ModelIDs() []ModelID

ModelIDs returns the canonical Model_<...> constant values from the codegen pipeline. The name diverges from the original spec (Models() []ModelID) to avoid clashing with registry.go:Models() []ModelInfo.

The returned slice is a defensive copy; mutating it does not affect future calls. See Models() in registry.go for the full ModelInfo slice (metadata + constants).

type ModelInfo

type ModelInfo struct {
	ID          ModelID
	Provider    Provider
	DisplayName string
	RawFamily   Family // raw API family field verbatim (e.g. "claude-opus")

	// Family is the canonical family identifier extracted from RawFamily
	// (or inferred from ID when RawFamily is empty). Populated at codegen time.
	Family Family
	// Variant is the variant suffix extracted from RawFamily (e.g. "opus",
	// "pro", "flash-lite"). Empty when the model has no variant. Populated at codegen time.
	Variant string
	// Version is the model version extracted from the model ID
	// (primary source, e.g. "claude-opus-4-5-20251101" → "4.5") or, when the
	// family string itself carries a version component, from the family string
	// (fallback, e.g. "gemini-2.5-flash" → "2.5"). Empty when no separable
	// version is found. Populated at codegen time.
	Version string
	// Date is the release date extracted from the model ID or ReleaseDate
	// field, in YYYY-MM-DD format. Empty when no date is found. Populated at codegen time.
	Date string
	// Modifier is the LIST of known trailing tokens extracted from the model ID
	// that carry semantic meaning beyond family/variant/version/date (e.g.
	// ["thinking"], ["vision", "instruct"]). nil when no known modifier is found.
	// The list is stored in deterministic CANONICAL ORDER (see CanonicalizeModifiers
	// in modifier.go): capability > speed > format/stage, with an alphabetical
	// fallback. Populated by the parse pipeline at codegen time.
	// widened string → []string for lossless
	// multi-modifier capture (kimi-k2-thinking-turbo → [thinking, turbo]).
	Modifier              []string
	ContextWindow         int
	MaxOutput             int
	Reasoning             bool
	ToolCall              bool
	Attachment            bool
	Temperature           bool
	StructuredOutput      bool
	Interleaved           Capability
	OpenWeights           bool
	CostInputPerMTok      *float64
	CostOutputPerMTok     *float64
	CostReasoningPerMTok  *float64
	CostCacheReadPerMTok  *float64
	CostCacheWritePerMTok *float64
	ReleaseDate           string
	Knowledge             string
	Modalities            Modalities

	// Host is the serving host / backend infrastructure that runs this model
	// instance, distinct from Provider. It is a per-instance ATTRIBUTE and never
	// participates in entity identity. HostNone (zero value) when unknown or when
	// the provider serves the model directly. Populated by the host-split slice.
	Host Host
	// Lineage is the set of derivation edges from this model to its parent
	// model(s) (finetune, merge, distillation, …). nil when the model is a base
	// model or no curated lineage is known. Populated at codegen time from the
	// curated lineage table by the lineage slice.
	Lineage []LineageEdge

	LastSynced string // RFC3339
}

ModelInfo holds metadata for a single AI model as returned by the models.dev API.

Canonical fields (Family, Variant, Version, Date) are populated at codegen time by the bestiary-gen tool invoking bestiary.ParseFamily, bestiary.ExtractDate, and bestiary.InferFamilyFromID. They are zero-value for models loaded from the SQLite cache (pre-normalization epoch) until a sync is performed.

RawFamily is the raw API family value verbatim (e.g. "claude-opus", "gemini-flash"). Family is the canonical/normalized family (e.g. "claude", "gemini").

func LookupModel

func LookupModel(id ModelID) (ModelInfo, bool)

LookupModel searches the static registry for a model by its ID. It returns the model and true if found, or the zero value and false otherwise.

func LookupModelByProvider

func LookupModelByProvider(p Provider, name string) (ModelInfo, bool)

LookupModelByProvider searches the static registry for a model matching both the given provider and name (model ID string). It returns the model and true if found, or the zero value and false otherwise.

func MergeModels

func MergeModels(static, cached []ModelInfo) []ModelInfo

MergeModels merges static and cached model lists. Deduplicates by (ModelID, Provider) pair. When both sources have the same (ID, Provider), the entry with the more recent LastSynced timestamp wins. Models with the same ID but different providers are kept as distinct entries. Since LastSynced uses RFC3339 UTC format, lexicographic string comparison correctly determines recency.

func Models

func Models() []ModelInfo

Models returns all available models. It delegates to StaticModels and returns a defensive copy so callers cannot mutate the registry. This is the preferred API for external callers; StaticModels is an implementation detail.

See ModelIDs() (in models_constants_gen.go) for the canonical Model_* constant slice.

func ModelsByFamily

func ModelsByFamily(family Family) []ModelInfo

ModelsByFamily returns all static models with the given raw API family string. The family parameter matches the RawFamily field (verbatim API value, e.g. "claude-opus", "gemini-flash").

func ModelsByProvider

func ModelsByProvider(p Provider) []ModelInfo

ModelsByProvider returns all static models from the given provider.

func StaticModels

func StaticModels() []ModelInfo

StaticModels returns a defensive copy of the compiled-in model data. Modifying the returned slice does not affect the registry.

func (ModelInfo) Ref

func (m ModelInfo) Ref() ModelRef

Ref returns a ModelRef for this ModelInfo. All eight fields are populated: ID from the API model ID, RawFamily from the raw API family field, and Family, Variant, Version, Date, Modifier from the codegen-baked normalization.

type ModelRef

type ModelRef struct {
	ID        ModelID  // Original API model ID (e.g. "claude-opus-4-20250514")
	Provider  Provider // Hosting provider
	RawFamily Family   // API family field verbatim (e.g., "claude-opus")
	Family    Family   // Canonical family (e.g., "claude"); empty if not yet normalized
	Variant   string   // Canonical variant (e.g., "opus"); empty if no variant
	Version   string   // Model version extracted from family (e.g., "4.5", "2.5"); empty if none
	Date      string   // Release date in YYYY-MM-DD format; empty if none
	Modifier  []string // Known trailing tokens in canonical order (e.g., ["vision","instruct"]); nil if none
	Host      Host     // Serving host/backend (per-instance attribute, never part of identity); HostNone if unknown
}

ModelRef represents the canonical identity of a model.

The 8-field tuple (ID, Provider, RawFamily, Family, Variant, Version, Date, Modifier) is the stable anchor for cross-provider queries, canonical formatting, and the normalization pipeline. ID is the original API model identifier (e.g. "claude-opus-4-20250514"). Family, Variant, Version, and Modifier are populated at codegen time by the normalization pipeline in cmd/bestiary-gen.

func Resolve

func Resolve(input string, opts ...ResolveOption) ([]ModelRef, error)

Resolve returns the set of ModelRefs that match the given input string.

Disambiguation rule

Cross-provider hosting: if all matches share the same Canonical triple (Family, Variant, Date) — meaning the same conceptual model is hosted by multiple providers — Resolve returns a non-nil []ModelRef with err == nil. The caller can iterate by Provider.

Multiple distinct canonicals: if the input matches models that resolve to two or more distinct Canonical triples (e.g., "claude" matches claude/opus, claude/sonnet, and claude/haiku), Resolve returns nil, *ErrAmbiguous with the candidate list. The caller should refine the input or use WithScheme(SchemeRaw) with an exact API model ID.

Zero matches: returns nil, *ErrNotFound.

Scheme auto-detection

  • "pkg:huggingface/<provider>/<id>" → SchemePURL: strip prefix, apply provider filter
  • "<family>/<variant>[@date]" or multi-segment form with "@" or versioned token → SchemeCanonical
  • "<provider>/<id>" (two slash segments, no "pkg:" prefix, no canonical signals) → SchemeHuggingFace: strip provider prefix, match raw ID
  • Otherwise → SchemeRaw: exact model ID match

Bare-family fallback: when SchemeRaw produces zero matches and the input contains no slashes or special characters, Resolve retries with SchemeCanonical family-only matching. If multiple distinct canonical triples match, *ErrAmbiguous is returned. If a single group matches, refs are returned. This surfaces *ErrAmbiguous for inputs like "claude" instead of ErrNotFound.

Variant-aware bare-family fallback: when the Family-exact retry also yields zero matches and the bare input is a hyphenated "<family>-<variant>" shorthand whose leading token is a registered Family and trailing token names a Variant within it (e.g. "claude-opus"), Resolve matches that variant group and returns *ErrAmbiguous with the variant's candidates. See matchBareFamilyVariant for the conservative matching rule.

Use WithScheme to override auto-detection.

func (ModelRef) Designations

func (r ModelRef) Designations() []Designation

Designations returns all string designations for this ModelRef. Every designation carries AcceptabilityAdmitted in this epoch. Promotion to Preferred is deferred to a follow-up curation epoch.

The returned slice contains:

  1. A SchemeRaw designation using the original API model ID.
  2. A SchemeCanonical designation (the canonical slash-separated form).
  3. A SchemeHuggingFace designation.
  4. A SchemePURL designation.

func (ModelRef) Format

func (r ModelRef) Format(s CanonicalScheme) string

Format serializes the ModelRef according to the given CanonicalScheme.

  • SchemeCanonical: "<provider>/<family>/<variant>@<date>" — the variant segment is included only when non-empty; the "@<date>" suffix is included only when date is non-empty. Falls back to "<provider>/<raw-id>" when both Family and Variant are empty (e.g., provider-specific representation).
  • SchemeHuggingFace: "<provider>/<raw-id>" (HuggingFace Hub form).
  • SchemePURL: "pkg:huggingface/<provider>/<raw-id>" (purl-spec + ECMA-427).
  • SchemeRaw: string(r.ID) — the original API model identifier verbatim.

func (ModelRef) String

func (r ModelRef) String() string

String implements fmt.Stringer. It returns Format(SchemeCanonical), the canonical slash-separated form.

type ModifierClass added in v0.2.3

type ModifierClass int

ModifierClass partitions a trailing model-ID modifier token (e.g. "instruct", "thinking", "turbo") into one of two roles relative to model IDENTITY:

  • ModifierClassIdentity: the modifier distinguishes a genuinely different model artifact (different weights/behavior), so it is PART of the entity key. Example: "instruct" — meta/llama@3.1{instruct} is a distinct entity from meta/llama@3.1. Identity modifiers render in the "{...}" segment.
  • ModifierClassAttribute: the modifier describes a per-instance presentation or runtime knob that does NOT change model identity, so it is EXCLUDED from the entity key. Example: "thinking" — claude/opus@4.5[thinking] is the same entity as claude/opus@4.5. Attribute modifiers render in the "[...]" segment.

The zero value is ModifierClassIdentity: an unknown/uncurated token defaults to Identity (fail-safe — never silently collapse two artifacts into one entity).

const (
	// ModifierClassIdentity marks a modifier that is part of the entity key.
	// This is the zero value and the default for unknown tokens.
	ModifierClassIdentity ModifierClass = iota
	// ModifierClassAttribute marks a modifier that is excluded from the entity
	// key (a per-instance presentation/runtime attribute).
	ModifierClassAttribute
)

func ClassifyModifier added in v0.2.3

func ClassifyModifier(token string, fam Family) ModifierClass

ClassifyModifier returns the ModifierClass of a single modifier token for the given family. The classification is family-aware because the same token can be identity-bearing for one family and a mere attribute for another (e.g. "turbo": identity for gpt-4-turbo, attribute for a speed-tier alias elsewhere).

Resolution order (per-family override BEATS the global table):

  1. family_overrides[fam][token] in modifier_class.json, if present;
  2. global[token] in modifier_class.json, if present;
  3. otherwise ModifierClassIdentity (the fail-safe default).

CONTRACT: unknown/uncurated tokens MUST classify as ModifierClassIdentity (the fail-safe default) and ClassifyModifier MUST NOT panic for any input — rendering and entity keying depend on this graceful-degrade guarantee. If the embedded table fails to load, classification degrades to the unknown->Identity default for every token (never a panic).

func (ModifierClass) String added in v0.2.3

func (c ModifierClass) String() string

String returns the lowercase name of the modifier class.

type OutputFormat

type OutputFormat string

OutputFormat specifies how models are rendered for display.

const (
	FormatJSON  OutputFormat = "json"
	FormatYAML  OutputFormat = "yaml"
	FormatTable OutputFormat = "table"
)

type ParseAttempt added in v0.2.0

type ParseAttempt struct {
	Family  Family `json:"family"`
	Variant string `json:"variant"`
	Version string `json:"version"`
	Date    string `json:"date"`
}

ParseAttempt records the partial result produced when parse heuristics could not fully decompose a raw family string. Fields mirror ModelInfo canonical fields (Family, Variant, Version, Date) to aid comparison.

type ParseFailure added in v0.2.0

type ParseFailure struct {
	RawID          ModelID            `json:"raw_id"`
	Provider       Provider           `json:"provider"`
	RawFamily      Family             `json:"raw_family"`
	AttemptedParse ParseAttempt       `json:"attempted_parse"`
	Reason         ParseFailureReason `json:"reason"`
}

ParseFailure records a single parsing failure detected during family-string decomposition. It is produced by ParseFamilyDetailed when the parser's best-effort result is known to be incomplete or ambiguous.

JSON field names match the locked per-record format:

{
  "raw_id":         "claude-3-5-haiku-20241022",
  "provider":       "anthropic",
  "raw_family":     "claude-haiku",
  "attempted_parse": {"family":"claude","variant":"haiku","version":"","date":"2024-10-22"},
  "reason":         "version digits between family-prefix and variant not extracted"
}

type ParseFailureReason added in v0.2.2

type ParseFailureReason string

ParseFailureReason is a typed string identifying the class of parse failure. Using a named type rather than bare string prevents accidental mixing of reason strings and enables exhaustive case analysis.

const (
	// ReasonVersionDigitsNotExtracted is used when version digits appear between
	// the family prefix and the variant (e.g. "claude-3-5-haiku-20241022" where
	// the "3-5" version component is not extracted by the parse heuristics).
	ReasonVersionDigitsNotExtracted ParseFailureReason = "version digits between family-prefix and variant not extracted"

	// ReasonKnownSuffixOverflow is used when the trailing segment of the model ID
	// matches a known modifier token (thinking, vision, latest, code, preview, think).
	// The modifier is semantically meaningful but not yet extracted as a first-class
	// field. Extend the modifier allowlist in parse/data/modifiers.json when new
	// tokens are discovered.
	ReasonKnownSuffixOverflow ParseFailureReason = "suffix overflow: trailing token is a known modifier"

	// ReasonUnknownSuffixOverflow is used when the trailing segment of the model ID
	// does not match any known modifier token. This is an audit-log hint that the
	// modifier allowlist in parse/data/modifiers.json should be extended.
	ReasonUnknownSuffixOverflow ParseFailureReason = "suffix overflow: trailing token is an unknown modifier (extend allowlist)"

	// ReasonYYMMDateAsVersion is used for Mistral-style 4-digit numerals (e.g. 2401,
	// 2403) where the parser cannot reliably distinguish a YYMM date from a version.
	ReasonYYMMDateAsVersion ParseFailureReason = "YYMM-date-as-version false-positive"

	// ReasonResidualUnaccountedTokens is used when version extraction succeeds but
	// leaves one or more tokens in the model ID unaccounted for (e.g. nova-2-lite-v1
	// yields version="2" but token "v1" is not explained by family/variant/version/date).
	// This is an honest-audit signal: the version is populated but there is residual
	// information the parser did not fully account for.
	ReasonResidualUnaccountedTokens ParseFailureReason = "residual unaccounted tokens after extraction"
)

Reason constants for the known failure modes (use these constants verbatim to ensure consistent reason phrasing across all callers).

type ParseFailuresEnvelope added in v0.2.0

type ParseFailuresEnvelope struct {
	SchemaVersion int            `json:"schema_version"`
	GeneratedAt   time.Time      `json:"generated_at"`
	FailureCount  int            `json:"failure_count"`
	Failures      []ParseFailure `json:"failures"`
}

ParseFailuresEnvelope is the top-level JSON structure written by bestiary-gen to .bestiary-gen-cache/parse_failures.json after each codegen run. The file is overwritten on every run (full audit, not append).

type Provider

type Provider string

Provider identifies the organization that hosts or publishes an AI model.

const (
	Provider302AI                  Provider = "302ai"
	ProviderAbacus                 Provider = "abacus"
	ProviderAbliterationAI         Provider = "abliteration-ai"
	ProviderAIHubMix               Provider = "aihubmix"
	ProviderAlibaba                Provider = "alibaba"
	ProviderAlibabaCN              Provider = "alibaba-cn"
	ProviderAlibabaCodingPlan      Provider = "alibaba-coding-plan"
	ProviderAlibabaCodingPlanCN    Provider = "alibaba-coding-plan-cn"
	ProviderAmazonBedrock          Provider = "amazon-bedrock"
	ProviderAmbient                Provider = "ambient"
	ProviderAnthropic              Provider = "anthropic"
	ProviderAtomicChat             Provider = "atomic-chat"
	ProviderAuriko                 Provider = "auriko"
	ProviderAzure                  Provider = "azure"
	ProviderAzureCognitiveServices Provider = "azure-cognitive-services"
	ProviderBailing                Provider = "bailing"
	ProviderBaseten                Provider = "baseten"
	ProviderBerget                 Provider = "berget"
	ProviderCerebras               Provider = "cerebras"
	ProviderChutes                 Provider = "chutes"
	ProviderClarifai               Provider = "clarifai"
	ProviderClaudinio              Provider = "claudinio"
	ProviderCloudFerroSherlock     Provider = "cloudferro-sherlock"
	ProviderCloudflareAIGateway    Provider = "cloudflare-ai-gateway"
	ProviderCloudflareWorkersAI    Provider = "cloudflare-workers-ai"
	ProviderCohere                 Provider = "cohere"
	ProviderCortecs                Provider = "cortecs"
	ProviderCrof                   Provider = "crof"
	ProviderDatabricks             Provider = "databricks"
	ProviderDeepInfra              Provider = "deepinfra"
	ProviderDeepSeek               Provider = "deepseek"
	ProviderDigitalOcean           Provider = "digitalocean"
	ProviderDInference             Provider = "dinference"
	ProviderDrun                   Provider = "drun"
	ProviderEvroc                  Provider = "evroc"
	ProviderFastRouter             Provider = "fastrouter"
	ProviderFirepass               Provider = "firepass"
	ProviderFireworksAI            Provider = "fireworks-ai"
	ProviderFriendli               Provider = "friendli"
	ProviderFrogBot                Provider = "frogbot"
	ProviderGitHubCopilot          Provider = "github-copilot"
	ProviderGitHubModels           Provider = "github-models"
	ProviderGitLab                 Provider = "gitlab"
	ProviderGMICloud               Provider = "gmicloud"
	ProviderGoogle                 Provider = "google"
	ProviderGoogleVertex           Provider = "google-vertex"
	ProviderGoogleVertexAnthropic  Provider = "google-vertex-anthropic"
	ProviderGroq                   Provider = "groq"
	ProviderHelicone               Provider = "helicone"
	ProviderHpcAI                  Provider = "hpc-ai"
	ProviderHuggingFace            Provider = "huggingface"
	ProvideriFlowCN                Provider = "iflowcn"
	ProviderInception              Provider = "inception"
	ProviderInceptron              Provider = "inceptron"
	ProviderInference              Provider = "inference"
	ProviderIONet                  Provider = "io-net"
	ProviderJiekou                 Provider = "jiekou"
	ProviderKilo                   Provider = "kilo"
	ProviderKimiForCoding          Provider = "kimi-for-coding"
	ProviderKUAECloudCodingPlan    Provider = "kuae-cloud-coding-plan"
	ProviderLilac                  Provider = "lilac"
	ProviderLlama                  Provider = "llama"
	ProviderLlmGateway             Provider = "llmgateway"
	ProviderLMStudio               Provider = "lmstudio"
	ProviderLucidQuery             Provider = "lucidquery"
	ProviderMeganova               Provider = "meganova"
	ProviderMergeGateway           Provider = "merge-gateway"
	ProviderMiniMax                Provider = "minimax"
	ProviderMiniMaxCN              Provider = "minimax-cn"
	ProviderMiniMaxCNCodingPlan    Provider = "minimax-cn-coding-plan"
	ProviderMiniMaxCodingPlan      Provider = "minimax-coding-plan"
	ProviderMistral                Provider = "mistral"
	ProviderMixlayer               Provider = "mixlayer"
	ProviderMoark                  Provider = "moark"
	ProviderModelScope             Provider = "modelscope"
	ProviderMoonshotAI             Provider = "moonshotai"
	ProviderMoonshotAICN           Provider = "moonshotai-cn"
	ProviderMorph                  Provider = "morph"
	ProviderNanoGPT                Provider = "nano-gpt"
	ProviderNearAI                 Provider = "nearai"
	ProviderNebius                 Provider = "nebius"
	ProviderNeuralwatt             Provider = "neuralwatt"
	ProviderNova                   Provider = "nova"
	ProviderNovitaAI               Provider = "novita-ai"
	ProviderNvidia                 Provider = "nvidia"
	ProviderOllamaCloud            Provider = "ollama-cloud"
	ProviderOpenAI                 Provider = "openai"
	ProviderOpenCode               Provider = "opencode"
	ProviderOpenCodeGo             Provider = "opencode-go"
	ProviderOpenRouter             Provider = "openrouter"
	ProviderOrcaRouter             Provider = "orcarouter"
	ProviderOVHcloud               Provider = "ovhcloud"
	ProviderPerplexity             Provider = "perplexity"
	ProviderPerplexityAgent        Provider = "perplexity-agent"
	ProviderPoe                    Provider = "poe"
	ProviderPoolside               Provider = "poolside"
	ProviderPrivatemodeAI          Provider = "privatemode-ai"
	ProviderQiHangAI               Provider = "qihang-ai"
	ProviderQiniuAI                Provider = "qiniu-ai"
	ProviderRegoloAI               Provider = "regolo-ai"
	ProviderRequesty               Provider = "requesty"
	ProviderRoutingRun             Provider = "routing-run"
	ProviderSAPAICore              Provider = "sap-ai-core"
	ProviderSarvam                 Provider = "sarvam"
	ProviderScaleway               Provider = "scaleway"
	ProviderSiliconFlow            Provider = "siliconflow"
	ProviderSiliconFlowCN          Provider = "siliconflow-cn"
	ProviderSnowflakeCortex        Provider = "snowflake-cortex"
	ProviderSTACKIT                Provider = "stackit"
	ProviderStepFun                Provider = "stepfun"
	ProviderStepFunAI              Provider = "stepfun-ai"
	ProviderSubmodel               Provider = "submodel"
	ProviderSynthetic              Provider = "synthetic"
	ProviderTencentCodingPlan      Provider = "tencent-coding-plan"
	ProviderTencentTokenHub        Provider = "tencent-tokenhub"
	ProviderTheGridAI              Provider = "the-grid-ai"
	ProviderTogetherAI             Provider = "togetherai"
	ProviderUmansAICodingPlan      Provider = "umans-ai-coding-plan"
	ProviderUpstage                Provider = "upstage"
	ProviderV0                     Provider = "v0"
	ProviderVenice                 Provider = "venice"
	ProviderVercel                 Provider = "vercel"
	ProviderVivgrid                Provider = "vivgrid"
	ProviderVultr                  Provider = "vultr"
	ProviderWaferAI                Provider = "wafer.ai"
	ProviderWandb                  Provider = "wandb"
	ProviderxAI                    Provider = "xai"
	ProviderXiaomi                 Provider = "xiaomi"
	ProviderXiaomiTokenPlanAMS     Provider = "xiaomi-token-plan-ams"
	ProviderXiaomiTokenPlanCN      Provider = "xiaomi-token-plan-cn"
	ProviderXiaomiTokenPlanSGP     Provider = "xiaomi-token-plan-sgp"
	ProviderXpersona               Provider = "xpersona"
	ProviderZai                    Provider = "zai"
	ProviderZaiCodingPlan          Provider = "zai-coding-plan"
	ProviderZenMux                 Provider = "zenmux"
	ProviderZhipuai                Provider = "zhipuai"
	ProviderZhipuaiCodingPlan      Provider = "zhipuai-coding-plan"
)
const ProviderLocal Provider = "local"

ProviderLocal is a bestiary-specific provider for locally-hosted models. It is not derived from the models.dev API and is always included in knownProviders (generated in providers_gen.go, appended last).

func Providers

func Providers() []Provider

Providers returns all known Provider values as a defensive copy. The returned slice includes all API-derived providers plus ProviderLocal. Modifying the returned slice does not affect the package state.

func ProvidersForFamily

func ProvidersForFamily(family Family) []Provider

ProvidersForFamily returns the set of providers that host models with the given raw API family string (e.g., "claude-opus", "gemini-flash"). The family parameter matches the RawFamily field (verbatim API value). The returned slice contains no duplicates. If no models match, a nil slice is returned.

func (Provider) IsKnown

func (p Provider) IsKnown() bool

IsKnown reports whether p is a recognized Provider. The known set is generated from the models.dev API at codegen time and includes ProviderLocal as the final entry.

func (Provider) MarshalText

func (p Provider) MarshalText() ([]byte, error)

MarshalText implements encoding.TextMarshaler.

func (Provider) String

func (p Provider) String() string

String returns the string representation of the provider.

func (*Provider) UnmarshalText

func (p *Provider) UnmarshalText(b []byte) error

UnmarshalText implements encoding.TextUnmarshaler. It accepts any string value; use IsKnown() to validate.

type ProviderInstance added in v0.2.3

type ProviderInstance struct {
	ID                ModelID
	Provider          Provider
	Host              Host
	CostInputPerMTok  *float64 // nil when unknown
	CostOutputPerMTok *float64 // nil when unknown
	ContextWindow     int
	MaxOutput         int
}

ProviderInstance is a single concrete offering of an entity: one (provider, host) serving of the model, with its instance-specific pricing and limits. Many ProviderInstances roll up into one Entity. The fields here are exactly the per-instance ATTRIBUTES — they vary across instances of the same entity and so are excluded from EntityRef.

type ResolveOption

type ResolveOption func(*resolveConfig)

ResolveOption configures a Resolve call. Options are applied in order; later options override earlier ones.

func WithInputFormat added in v0.2.0

func WithInputFormat(f InputFormat) ResolveOption

WithInputFormat pins the InputFormat for a Resolve call.

When InputFormatPeasant is specified (the default from the CLI), Resolve dispatches as SchemeCanonical and does NOT auto-detect from the input prefix. A PURL or HuggingFace input passed with InputFormatPeasant will fail to match (ErrNotFound) — this is intentional. Pass the matching --format flag explicitly.

For huggingface/hf, purl, and raw, dispatches directly to the corresponding scheme without auto-detect.

func WithScheme

func WithScheme(s CanonicalScheme) ResolveOption

WithScheme pins the CanonicalScheme for a Resolve call. When not specified, Resolve auto-detects the scheme from the input prefix:

  • "pkg:huggingface/<provider>/<id>" → SchemePURL: strip prefix, retain provider hint
  • "<word>/<word>" two-segment form (no "pkg:" prefix, no "@" or versioned token) → SchemeHuggingFace: strip provider prefix, match raw ID
  • "<family>/<variant>[@date]" or "<provider>/<family>/<variant>[@date]" form → SchemeCanonical
  • Otherwise → SchemeRaw (exact model ID lookup)

SchemeCanonical is auto-detected when the input contains 1–3 "/" separators AND at least one of: an "@" date suffix, or a versioned token (e.g. "4.5", "2.5"). Use WithScheme to override auto-detection.

type Store

type Store struct {
	// contains filtered or unexported fields
}

Store is a SQLite-backed cache for AI model metadata. Use OpenStore to create, and Close when done.

func OpenStore

func OpenStore(path string) (*Store, error)

OpenStore opens (or creates) the SQLite database at path. It applies any pending schema migrations before returning. Caller must call Close when done.

func (*Store) Close

func (s *Store) Close() error

Close closes the underlying SQLite connection.

func (*Store) QueryByCanonical

func (s *Store) QueryByCanonical(ctx context.Context, f CanonicalFilter) ([]ModelInfo, error)

QueryByCanonical returns ModelInfo entries matching the canonical axes in f. Cross-provider results are returned as a slice. Empty fields in f act as wildcards: an empty Family matches any family, an empty Variant matches any variant, and an empty Date matches any date. Returns an empty slice (not an error) when no matching models are found.

The query uses the (family, variant) prefix of idx_canonical for efficient lookup when f.Family is non-empty.

ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.

func (*Store) QueryModel

func (s *Store) QueryModel(ctx context.Context, id ModelID) (ModelInfo, error)

QueryModel returns the first model found with the given ID, or ErrNotFound if no model with that ID exists in the store. Note: with the composite (model_id, provider) primary key, multiple rows may share the same model_id across different providers. Use QueryModelsByID to retrieve all provider variants for a given model ID.

ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.

func (*Store) QueryModels

func (s *Store) QueryModels(ctx context.Context, provider Provider) ([]ModelInfo, error)

QueryModels returns all cached models. If provider is non-empty, results are filtered to only models from that provider. An empty provider string returns ALL models regardless of provider.

ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.

func (*Store) QueryModelsByID

func (s *Store) QueryModelsByID(ctx context.Context, id ModelID) ([]ModelInfo, error)

QueryModelsByID returns all cached models with the given ID across all providers. Returns an empty slice (not an error) if none are found.

ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.

func (*Store) UpsertModels

func (s *Store) UpsertModels(ctx context.Context, models []ModelInfo) error

UpsertModels inserts or replaces the given models in the store. It sets LastSynced to the current UTC time in RFC3339 format for each model. All upserts run inside a single transaction.

ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.

Directories

Path Synopsis
cmd
bestiary command
bestiary-gen command
bestiary-gen fetches the models.dev API and writes four generated files into the bestiary package root:
bestiary-gen fetches the models.dev API and writes four generated files into the bestiary package root:

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