sync github copilot limits

add OpenRouter models for gpt-5.4 mini and gpt-5.4 nano

.gitignore

@@ -1,5 +1,9 @@
 .env
 .sst
+.idea
 dist
 .DS_Store
 node_modules
+data/tokenspeed-monitor.sqlite
+data/tokenspeed-monitor.sqlite-shm
+data/tokenspeed-monitor.sqlite-wal

README.md

@@ -199,6 +199,17 @@ $ bun run dev
 
 And it'll open the frontend at http://localhost:3000
 
+### Manual testing with opencode
+
+You can manually check provider changes with opencode by:
+
+```bash
+$ bun install
+$ cd packages/web
+$ bun run build
+$ OPENCODE_MODELS_PATH="dist/_api.json" opencode
+```
+
 ### Questions?
 
 Open an issue if you need help or have questions about contributing.

package.json

@@ -18,7 +18,8 @@
     "validate": "bun ./packages/core/script/validate.ts",
     "helicone:generate": "bun ./packages/core/script/generate-helicone.ts",
     "venice:generate": "bun ./packages/core/script/generate-venice.ts",
-    "vercel:generate": "bun ./packages/core/script/generate-vercel.ts"
+    "vercel:generate": "bun ./packages/core/script/generate-vercel.ts",
+    "wandb:generate": "bun ./packages/core/script/generate-wandb.ts"
   },
   "dependencies": {
     "@cloudflare/workers-types": "^4.20250801.0",

packages/core/script/generate-friendli.ts

@@ -48,7 +48,6 @@ const familyPatterns: [RegExp, string][] = [
   [/llama-4/i, "llama-4"],
   [/qwen3/i, "qwen3"],
   [/deepseek-r1/i, "deepseek-r1"],
-  [/exaone/i, "exaone"],
   [/glm-4/i, "glm-4"],
   [/glm-5/i, "glm"],
 ];

packages/core/script/generate-ollama-cloud.ts

@@ -35,6 +35,31 @@ type OllamaModel = Omit<Model, "id"> & {
   limit: Model["limit"] & { output?: number };
 };
 
+type ComparableModel = Pick<Model,
+  | "name"
+  | "attachment"
+  | "reasoning"
+  | "tool_call"
+  | "knowledge"
+  | "open_weights"
+  | "modalities"
+> & {
+  limit: Pick<Model["limit"], "context">;
+};
+
+function normalizeForComparison(model: Omit<Model, "id">): ComparableModel {
+  return {
+    name: model.name,
+    attachment: model.attachment,
+    reasoning: model.reasoning,
+    tool_call: model.tool_call,
+    knowledge: model.knowledge,
+    open_weights: model.open_weights,
+    limit: { context: model.limit.context },
+    modalities: model.modalities,
+  };
+}
+
 const OllamaTagsResponse = z.object({
   models: z.array(
     z.object({
@@ -137,20 +162,34 @@ for (const modelName of modelNames) {
   modelsData.push({ name: modelName, data: showParsed.data });
 }
 
-console.log(`Fetched all models. Writing new files...`);
+console.log(`Fetched all models. Syncing files...`);
+
+const existingFiles = Array.from(new Bun.Glob("*.toml").scanSync(modelsDir));
+const existingModelNames = new Set(existingFiles.map((f) => f.replace(/\.toml$/, "")));
+const apiModelNames = new Set(modelNames);
+
+let deleted = 0;
+for (const existingName of existingModelNames) {
+  if (!apiModelNames.has(existingName)) {
+    const filePath = path.join(modelsDir, modelFileName(existingName));
+    await Bun.file(filePath).delete();
+    console.log(`Deleted: ${modelFileName(existingName)}`);
+    deleted++;
+  }
+}
 
 let created = 0;
+let skipped = 0;
 for (const { name, data } of modelsData) {
   const fileName = modelFileName(name);
   const filePath = path.join(modelsDir, fileName);
 
-  let existingData: Omit<Model, "id"> | null;
+  let existingData: Omit<Model, "id"> | null = null;
   try {
     const existingToml = await Bun.file(filePath).text();
     existingData = Bun.TOML.parse(existingToml) as Omit<Model, "id">;
   } catch {
     // File doesn't exist
-    existingData = null;
   }
 
   const family = existingData?.family ?? (data.details.family as ModelFamily);
@@ -179,9 +218,20 @@ for (const { name, data } of modelsData) {
     },
   };
 
+  if (existingData) {
+    const normalizedExisting = normalizeForComparison(existingData);
+    const normalizedIncoming = normalizeForComparison(ollamaModel);
+
+    if (Bun.deepEquals(normalizedExisting, normalizedIncoming)) {
+      console.log(`Skipped (no changes): ${fileName}`);
+      skipped++;
+      continue;
+    }
+  }
+
   await Bun.write(filePath, generateToml(name, ollamaModel));
   console.log(`Created: ${fileName}`);
   created++;
 }
 
-console.log(`\nDone. Created ${created}`);
+console.log(`\nDone. Created: ${created}, Skipped: ${skipped}, Deleted: ${deleted}`);

packages/core/script/generate-venice.ts

@@ -3,30 +3,11 @@
 import { z } from "zod";
 import path from "node:path";
 import { readdir } from "node:fs/promises";
-import * as readline from "node:readline";
 import { ModelFamilyValues } from "../src/family.js";
 
 // Venice API endpoint
 const API_ENDPOINT = "https://api.venice.ai/api/v1/models?type=text";
 
-async function promptForApiKey(): Promise<string | null> {
-  const rl = readline.createInterface({
-    input: process.stdin,
-    output: process.stdout,
-  });
-
-  return new Promise((resolve) => {
-    rl.question(
-      "Enter Venice API key to include alpha models (or press Enter to skip): ",
-      (answer) => {
-        rl.close();
-        const trimmed = answer.trim();
-        resolve(trimmed.length > 0 ? trimmed : null);
-      },
-    );
-  });
-}
-
 // Zod schemas for API response validation
 const Capabilities = z
   .object({
@@ -69,6 +50,7 @@ const ModelSpec = z
   .object({
     pricing: Pricing.optional(),
     availableContextTokens: z.number(),
+    maxCompletionTokens: z.number().optional(),
     capabilities: Capabilities,
     constraints: z.any().optional(),
     name: z.string(),
@@ -257,11 +239,7 @@ function mergeModel(
   const caps = spec.capabilities;
 
   const contextTokens = spec.availableContextTokens;
-  const proposedOutputTokens = Math.floor(contextTokens / 4);
-  const outputTokens =
-    existing?.limit?.output !== undefined && existing.limit.output < proposedOutputTokens
-      ? existing.limit.output
-      : proposedOutputTokens
+  const outputTokens = spec.maxCompletionTokens ?? Math.floor(contextTokens / 4);
 
   const openWeights = spec.modelSource
     ? spec.modelSource.toLowerCase().includes("huggingface")
@@ -487,7 +465,7 @@ async function main() {
     "models",
   );
 
-  // Check for API key from CLI argument, environment, or prompt
+  // Check for API key from CLI argument or environment variable
   let apiKey: string | null = null;
 
   // Check CLI args for --api-key=xxx or --api-key xxx
@@ -506,11 +484,6 @@ async function main() {
     apiKey = process.env.VENICE_API_KEY ?? null;
   }
 
-  // Prompt if still no key
-  if (!apiKey) {
-    apiKey = await promptForApiKey();
-  }
-
   const includeAlpha = apiKey !== null;
 
   if (dryRun) {

packages/core/script/generate-vercel.ts

@@ -24,6 +24,7 @@ enum ModelType {
 
 enum SkipZeroFields {
   LimitContext = "limit.context",
+  LimitInput = "limit.input",
   LimitOutput = "limit.output",
 }
 
@@ -82,6 +83,7 @@ interface ExistingModel {
   };
   limit?: {
     context?: number;
+    input?: number;
     output?: number;
   };
   modalities?: {
@@ -112,6 +114,7 @@ interface MergedModel {
   };
   limit: {
     context: number;
+    input?: number;
     output: number;
   };
   modalities: {
@@ -232,6 +235,10 @@ async function loadExistingModel(filePath: string): Promise<ExistingModel | null
   }
 }
 
+function isOpenAIModel(modelId: string): boolean {
+  return modelId.startsWith("openai/");
+}
+
 function mergeModel(
   apiModel: z.infer<typeof VercelModel>,
   existing: ExistingModel | null,
@@ -281,6 +288,7 @@ function mergeModel(
     ...(status && { status }),
     limit: {
       context: contextLimit,
+      ...(isOpenAIModel(apiModel.id) && contextLimit > outputLimit && { input: contextLimit - outputLimit }),
       output: outputLimit,
     },
     modalities: {
@@ -362,6 +370,9 @@ function formatToml(model: MergedModel): string {
   lines.push("");
   lines.push(`[limit]`);
   lines.push(`context = ${formatNumber(model.limit.context)}`);
+  if (model.limit.input !== undefined) {
+    lines.push(`input = ${formatNumber(model.limit.input)}`);
+  }
   lines.push(`output = ${formatNumber(model.limit.output)}`);
 
   lines.push("");
@@ -435,6 +446,7 @@ function detectChanges(
   compare("cost.cache_read", existing.cost?.cache_read, merged.cost?.cache_read);
   compare("cost.cache_write", existing.cost?.cache_write, merged.cost?.cache_write);
   compare("limit.context", existing.limit?.context, merged.limit.context);
+  compare("limit.input", existing.limit?.input, merged.limit.input);
   compare("limit.output", existing.limit?.output, merged.limit.output);
   compare("modalities.input", existing.modalities?.input, merged.modalities.input);
 
@@ -493,6 +505,11 @@ async function main() {
   let unchanged = 0;
 
   for (const apiModel of apiModels) {
+    // Skip these since OpenCode does not support image / video generation yet
+    if (apiModel.type === ModelType.Image || apiModel.type === ModelType.Video) {
+      continue;
+    }
+
     const relativePath = `${apiModel.id}.toml`;
     const filePath = path.join(modelsDir, relativePath);
     const dirPath = path.dirname(filePath);

packages/core/script/generate-wandb.ts

@@ -0,0 +1,525 @@
+#!/usr/bin/env bun
+
+import path from "node:path";
+import { mkdir } from "node:fs/promises";
+import { z } from "zod";
+import { ModelFamilyValues } from "../src/family.js";
+
+const API_ENDPOINT = "https://trace.wandb.ai/inference/analysis/artificialanalysis/models";
+
+const Pricing = z
+  .object({
+    prompt: z.string().optional(),
+    completion: z.string().optional(),
+    image: z.string().optional(),
+    request: z.string().optional(),
+    input_cache_reads: z.string().optional(),
+    input_cache_writes: z.string().optional(),
+  })
+  .passthrough();
+
+const WandbModel = z
+  .object({
+    id: z.string(),
+    name: z.string(),
+    created: z.number(),
+    input_modalities: z.array(z.string()),
+    output_modalities: z.array(z.string()),
+    context_length: z.number(),
+    max_output_length: z.number(),
+    pricing: Pricing.optional(),
+    supported_sampling_parameters: z.array(z.string()).default([]),
+    supported_features: z.array(z.string()).default([]),
+  })
+  .passthrough();
+
+const WandbResponse = z
+  .object({
+    data: z.array(WandbModel),
+  })
+  .strict();
+
+interface ExistingModel {
+  name?: string;
+  family?: string;
+  attachment?: boolean;
+  reasoning?: boolean;
+  tool_call?: boolean;
+  structured_output?: boolean;
+  temperature?: boolean;
+  knowledge?: string;
+  release_date?: string;
+  last_updated?: string;
+  open_weights?: boolean;
+  interleaved?: boolean | { field: string };
+  status?: string;
+  cost?: {
+    input?: number;
+    output?: number;
+    cache_read?: number;
+    cache_write?: number;
+  };
+  limit?: {
+    context?: number;
+    input?: number;
+    output?: number;
+  };
+  modalities?: {
+    input?: string[];
+    output?: string[];
+  };
+}
+
+interface MergedModel {
+  name: string;
+  family?: string;
+  attachment: boolean;
+  reasoning: boolean;
+  tool_call: boolean;
+  structured_output?: boolean;
+  temperature: boolean;
+  knowledge?: string;
+  release_date: string;
+  last_updated: string;
+  open_weights: boolean;
+  interleaved?: boolean | { field: string };
+  status?: string;
+  cost?: {
+    input: number;
+    output: number;
+    cache_read?: number;
+    cache_write?: number;
+  };
+  limit: {
+    context: number;
+    output: number;
+  };
+  modalities: {
+    input: Array<"text" | "audio" | "image" | "video" | "pdf">;
+    output: Array<"text" | "audio" | "image" | "video" | "pdf">;
+  };
+}
+
+interface Changes {
+  field: string;
+  oldValue: string;
+  newValue: string;
+}
+
+type SupportedModality = "text" | "audio" | "image" | "video" | "pdf";
+
+const modalityMap: Record<string, SupportedModality | undefined> = {
+  text: "text",
+  image: "image",
+  audio: "audio",
+  video: "video",
+  pdf: "pdf",
+  file: "pdf",
+  files: "pdf",
+};
+
+const openWeightsPrefixes = new Set([
+  "deepseek-ai/",
+  "meta-llama/",
+  "microsoft/",
+  "MiniMaxAI/",
+  "moonshotai/",
+  "nvidia/",
+  "OpenPipe/",
+  "Qwen/",
+  "zai-org/",
+]);
+
+function timestampToDate(timestamp: number): string {
+  return new Date(timestamp * 1000).toISOString().slice(0, 10);
+}
+
+function getTodayDate(): string {
+  return new Date().toISOString().slice(0, 10);
+}
+
+function formatNumber(n: number): string {
+  if (n >= 1000) {
+    return n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, "_");
+  }
+  return n.toString();
+}
+
+function formatDecimal(n: number): string {
+  return Number(n.toFixed(6)).toString();
+}
+
+function priceToPerMillion(value: string): number {
+  return Number((parseFloat(value) * 1_000_000).toFixed(6));
+}
+
+function isSubstring(target: string, family: string): boolean {
+  return target.toLowerCase().includes(family.toLowerCase());
+}
+
+function matchesFamily(target: string, family: string): boolean {
+  const targetLower = target.toLowerCase();
+  const familyLower = family.toLowerCase();
+  let familyIdx = 0;
+
+  for (let i = 0; i < targetLower.length && familyIdx < familyLower.length; i++) {
+    if (targetLower[i] === familyLower[familyIdx]) {
+      familyIdx++;
+    }
+  }
+
+  return familyIdx === familyLower.length;
+}
+
+function inferFamily(modelId: string, modelName: string): string | undefined {
+  const sortedFamilies = [...ModelFamilyValues].sort((a, b) => b.length - a.length);
+
+  for (const family of sortedFamilies) {
+    if (isSubstring(modelId, family) || isSubstring(modelName, family)) {
+      return family;
+    }
+  }
+
+  for (const family of sortedFamilies) {
+    if (matchesFamily(modelId, family) || matchesFamily(modelName, family)) {
+      return family;
+    }
+  }
+
+  return undefined;
+}
+
+function normalizeName(apiModel: z.infer<typeof WandbModel>): string {
+  const stripped = apiModel.name.replace(/^[^:]+:\s*/, "").trim();
+  return stripped || path.basename(apiModel.id);
+}
+
+function inferReasoning(apiModel: z.infer<typeof WandbModel>): boolean {
+  const text = `${apiModel.id} ${apiModel.name}`.toLowerCase();
+  return text.includes("thinking") || /\br1\b/.test(text) || text.includes("reasoning");
+}
+
+function inferOpenWeights(modelId: string): boolean {
+  for (const prefix of openWeightsPrefixes) {
+    if (modelId.startsWith(prefix)) {
+      return true;
+    }
+  }
+
+  return false;
+}
+
+function normalizeModalities(values: string[]): SupportedModality[] {
+  const normalized = values
+    .map((value) => modalityMap[value.toLowerCase()])
+    .filter((value): value is SupportedModality => value !== undefined);
+
+  return [...new Set(normalized)];
+}
+
+async function loadExistingModel(filePath: string): Promise<ExistingModel | null> {
+  try {
+    const file = Bun.file(filePath);
+    if (!(await file.exists())) {
+      return null;
+    }
+
+    const toml = await import(filePath, { with: { type: "toml" } }).then((mod) => mod.default);
+    return toml as ExistingModel;
+  } catch (cause) {
+    console.warn(`Warning: Failed to parse existing file ${filePath}:`, cause);
+    return null;
+  }
+}
+
+function mergeModel(
+  apiModel: z.infer<typeof WandbModel>,
+  existing: ExistingModel | null,
+): MergedModel {
+  const featureSet = new Set(apiModel.supported_features);
+  const samplingSet = new Set(apiModel.supported_sampling_parameters);
+  const inputModalities = normalizeModalities(apiModel.input_modalities);
+  const outputModalities = normalizeModalities(apiModel.output_modalities);
+
+  const merged: MergedModel = {
+    name: existing?.name ?? normalizeName(apiModel),
+    family: existing?.family ?? inferFamily(apiModel.id, apiModel.name),
+    attachment: existing?.attachment ?? inputModalities.some((m) => m !== "text"),
+    reasoning: existing?.reasoning ?? inferReasoning(apiModel),
+    tool_call: existing?.tool_call ?? featureSet.has("tools"),
+    temperature: existing?.temperature ?? samplingSet.has("temperature"),
+    release_date: existing?.release_date ?? timestampToDate(apiModel.created),
+    last_updated: getTodayDate(),
+    open_weights: existing?.open_weights ?? inferOpenWeights(apiModel.id),
+    ...(existing?.structured_output !== undefined
+      ? { structured_output: existing.structured_output }
+      : featureSet.has("structured_outputs")
+        ? { structured_output: true }
+        : {}),
+    ...(existing?.knowledge ? { knowledge: existing.knowledge } : {}),
+    ...(existing?.interleaved !== undefined ? { interleaved: existing.interleaved } : {}),
+    ...(existing?.status ? { status: existing.status } : {}),
+    limit: {
+      context: apiModel.context_length > 0 ? apiModel.context_length : (existing?.limit?.context ?? 0),
+      output: apiModel.max_output_length > 0
+        ? apiModel.max_output_length
+        : (existing?.limit?.output ?? 0),
+    },
+    modalities: {
+      input: inputModalities.length > 0
+        ? inputModalities
+        : ((existing?.modalities?.input as SupportedModality[] | undefined) ?? ["text"]),
+      output: outputModalities.length > 0
+        ? outputModalities
+        : ((existing?.modalities?.output as SupportedModality[] | undefined) ?? ["text"]),
+    },
+  };
+
+  const prompt = apiModel.pricing?.prompt;
+  const completion = apiModel.pricing?.completion;
+  const cacheRead = apiModel.pricing?.input_cache_reads;
+  const cacheWrite = apiModel.pricing?.input_cache_writes;
+
+  if (prompt && completion) {
+    merged.cost = {
+      input: priceToPerMillion(prompt),
+      output: priceToPerMillion(completion),
+      ...(cacheRead && parseFloat(cacheRead) > 0
+        ? { cache_read: priceToPerMillion(cacheRead) }
+        : {}),
+      ...(cacheWrite && parseFloat(cacheWrite) > 0
+        ? { cache_write: priceToPerMillion(cacheWrite) }
+        : {}),
+    };
+  } else if (existing?.cost?.input !== undefined && existing.cost.output !== undefined) {
+    merged.cost = {
+      input: existing.cost.input,
+      output: existing.cost.output,
+      ...(existing.cost.cache_read !== undefined ? { cache_read: existing.cost.cache_read } : {}),
+      ...(existing.cost.cache_write !== undefined ? { cache_write: existing.cost.cache_write } : {}),
+    };
+  }
+
+  return merged;
+}
+
+function formatToml(model: MergedModel): string {
+  const lines: string[] = [];
+
+  lines.push(`name = "${model.name.replace(/"/g, '\\"')}"`);
+  if (model.family) {
+    lines.push(`family = "${model.family}"`);
+  }
+  lines.push(`release_date = "${model.release_date}"`);
+  lines.push(`last_updated = "${model.last_updated}"`);
+  lines.push(`attachment = ${model.attachment}`);
+  lines.push(`reasoning = ${model.reasoning}`);
+  if (model.structured_output !== undefined) {
+    lines.push(`structured_output = ${model.structured_output}`);
+  }
+  lines.push(`temperature = ${model.temperature}`);
+  lines.push(`tool_call = ${model.tool_call}`);
+  if (model.knowledge) {
+    lines.push(`knowledge = "${model.knowledge}"`);
+  }
+  lines.push(`open_weights = ${model.open_weights}`);
+  if (model.status) {
+    lines.push(`status = "${model.status}"`);
+  }
+
+  if (model.interleaved !== undefined) {
+    lines.push("");
+    if (model.interleaved === true) {
+      lines.push("interleaved = true");
+    } else {
+      lines.push("[interleaved]");
+      lines.push(`field = "${model.interleaved.field}"`);
+    }
+  }
+
+  if (model.cost) {
+    lines.push("");
+    lines.push("[cost]");
+    lines.push(`input = ${formatDecimal(model.cost.input)}`);
+    lines.push(`output = ${formatDecimal(model.cost.output)}`);
+    if (model.cost.cache_read !== undefined) {
+      lines.push(`cache_read = ${formatDecimal(model.cost.cache_read)}`);
+    }
+    if (model.cost.cache_write !== undefined) {
+      lines.push(`cache_write = ${formatDecimal(model.cost.cache_write)}`);
+    }
+  }
+
+  lines.push("");
+  lines.push("[limit]");
+  lines.push(`context = ${formatNumber(model.limit.context)}`);
+  lines.push(`output = ${formatNumber(model.limit.output)}`);
+
+  lines.push("");
+  lines.push("[modalities]");
+  lines.push(`input = [${model.modalities.input.map((m) => `"${m}"`).join(", ")}]`);
+  lines.push(`output = [${model.modalities.output.map((m) => `"${m}"`).join(", ")}]`);
+
+  return `${lines.join("\n")}\n`;
+}
+
+function detectChanges(existing: ExistingModel | null, merged: MergedModel): Changes[] {
+  if (!existing) {
+    return [];
+  }
+
+  const changes: Changes[] = [];
+  const epsilon = 0.001;
+
+  const formatValue = (value: unknown): string => {
+    if (typeof value === "number") return formatNumber(value);
+    if (Array.isArray(value)) return `[${value.join(", ")}]`;
+    if (value === undefined) return "(none)";
+    return String(value);
+  };
+
+  const compare = (field: string, oldValue: unknown, newValue: unknown) => {
+    const changed = field.startsWith("cost.")
+      ? (
+          oldValue === undefined && newValue === undefined
+            ? false
+            : oldValue === undefined || newValue === undefined
+              ? true
+              : Math.abs((oldValue as number) - (newValue as number)) > epsilon
+        )
+      : JSON.stringify(oldValue) !== JSON.stringify(newValue);
+
+    if (changed) {
+      changes.push({
+        field,
+        oldValue: formatValue(oldValue),
+        newValue: formatValue(newValue),
+      });
+    }
+  };
+
+  compare("name", existing.name, merged.name);
+  compare("family", existing.family, merged.family);
+  compare("release_date", existing.release_date, merged.release_date);
+  compare("attachment", existing.attachment, merged.attachment);
+  compare("reasoning", existing.reasoning, merged.reasoning);
+  compare("structured_output", existing.structured_output, merged.structured_output);
+  compare("temperature", existing.temperature, merged.temperature);
+  compare("tool_call", existing.tool_call, merged.tool_call);
+  compare("open_weights", existing.open_weights, merged.open_weights);
+  compare("cost.input", existing.cost?.input, merged.cost?.input);
+  compare("cost.output", existing.cost?.output, merged.cost?.output);
+  compare("cost.cache_read", existing.cost?.cache_read, merged.cost?.cache_read);
+  compare("cost.cache_write", existing.cost?.cache_write, merged.cost?.cache_write);
+  compare("limit.context", existing.limit?.context, merged.limit.context);
+  compare("limit.output", existing.limit?.output, merged.limit.output);
+  compare("modalities.input", existing.modalities?.input, merged.modalities.input);
+  compare("modalities.output", existing.modalities?.output, merged.modalities.output);
+
+  return changes;
+}
+
+async function main() {
+  const args = process.argv.slice(2);
+  const dryRun = args.includes("--dry-run");
+  const newOnly = args.includes("--new-only");
+
+  const modelsDir = path.join(import.meta.dirname, "..", "..", "..", "providers", "wandb", "models");
+
+  console.log(`${dryRun ? "[DRY RUN] " : ""}${newOnly ? "[NEW ONLY] " : ""}Fetching WandB models from API...`);
+
+  const res = await fetch(API_ENDPOINT);
+  if (!res.ok) {
+    console.error(`Failed to fetch API: ${res.status} ${res.statusText}`);
+    process.exit(1);
+  }
+
+  const json = await res.json();
+  const parsed = WandbResponse.safeParse(json);
+  if (!parsed.success) {
+    console.error("Invalid API response:", parsed.error.errors);
+    process.exit(1);
+  }
+
+  const apiModels = parsed.data.data;
+  const existingFiles = new Set<string>();
+
+  for await (const file of new Bun.Glob("**/*.toml").scan({ cwd: modelsDir, absolute: false })) {
+    existingFiles.add(file);
+  }
+
+  console.log(`Found ${apiModels.length} models in API, ${existingFiles.size} existing files\n`);
+
+  const apiModelIds = new Set<string>();
+  let created = 0;
+  let updated = 0;
+  let unchanged = 0;
+
+  for (const apiModel of apiModels) {
+    const relativePath = `${apiModel.id}.toml`;
+    const filePath = path.join(modelsDir, relativePath);
+    const dirPath = path.dirname(filePath);
+
+    apiModelIds.add(relativePath);
+
+    const existing = await loadExistingModel(filePath);
+    const merged = mergeModel(apiModel, existing);
+    const tomlContent = formatToml(merged);
+
+    if (existing === null) {
+      created++;
+      if (dryRun) {
+        console.log(`[DRY RUN] Would create: ${relativePath}`);
+        console.log(`  name = "${merged.name}"`);
+        if (merged.family) {
+          console.log(`  family = "${merged.family}"`);
+        }
+        console.log("");
+      } else {
+        await mkdir(dirPath, { recursive: true });
+        await Bun.write(filePath, tomlContent);
+        console.log(`Created: ${relativePath}`);
+      }
+      continue;
+    }
+
+    if (newOnly) {
+      unchanged++;
+      continue;
+    }
+
+    const changes = detectChanges(existing, merged);
+    if (changes.length === 0) {
+      unchanged++;
+      continue;
+    }
+
+    updated++;
+    if (dryRun) {
+      console.log(`[DRY RUN] Would update: ${relativePath}`);
+    } else {
+      await mkdir(dirPath, { recursive: true });
+      await Bun.write(filePath, tomlContent);
+      console.log(`Updated: ${relativePath}`);
+    }
+
+    for (const change of changes) {
+      console.log(`  ${change.field}: ${change.oldValue} → ${change.newValue}`);
+    }
+    console.log("");
+  }
+
+  const orphaned = [...existingFiles].filter((file) => !apiModelIds.has(file));
+  for (const file of orphaned) {
+    console.log(`Warning: Orphaned file (not in API): ${file}`);
+  }
+
+  console.log("");
+  console.log(
+    dryRun
+      ? `Summary: ${created} would be created, ${updated} would be updated, ${unchanged} unchanged, ${orphaned.length} orphaned`
+      : `Summary: ${created} created, ${updated} updated, ${unchanged} unchanged, ${orphaned.length} orphaned`,
+  );
+}
+
+await main();

packages/core/src/family.ts

@@ -96,6 +96,7 @@ export const ModelFamilyValues = [
 
   // NVIDIA Nemotron
   "nemotron",
+  "nemotron-free",
 
   // AWS Titan
   "titan",
@@ -103,6 +104,8 @@ export const ModelFamilyValues = [
 
   // MiniMax
   "minimax",
+  "minimax-m2.5",
+  "minimax-m2.7",
   "minimax-free",
 
   // Hunyuan
@@ -128,9 +131,6 @@ export const ModelFamilyValues = [
   "solar-mini",
   "solar-pro",
 
-  // Exaone
-  "exaone",
-
   // Step (StepFun)
   "step",
 
@@ -196,6 +196,12 @@ export const ModelFamilyValues = [
 
   // Mimo
   "mimo",
+  "mimo-pro-free",
+  "mimo-omni-free",
+  "mimo-flash-free",
+
+  // Clarifai
+  "mm-poly",
 
   // Longcat
   "longcat",

packages/core/src/schema.ts

@@ -73,6 +73,7 @@ export const Model = z
       .object({
         npm: z.string().optional(),
         api: z.string().optional(),
+        shape: z.enum(["responses", "completions"]).optional(),
       })
       .optional(),
   })

providers/abacus/models/claude-opus-4-6.toml

@@ -1,21 +1,21 @@
-name = "Claude Opus 3"
+name = "Claude Opus 4.6"
 family = "claude-opus"
-release_date = "2024-02-29"
-last_updated = "2024-02-29"
+release_date = "2026-02-05"
+last_updated = "2026-02-05"
 attachment = true
-reasoning = false
+reasoning = true
 temperature = true
-knowledge = "2023-08"
 tool_call = true
+knowledge = "2025-05"
 open_weights = false
 
 [cost]
-input = 15.00
-output = 75.00
+input = 5.00
+output = 25.00
 
 [limit]
 context = 200_000
-output = 4_096
+output = 128_000
 
 [modalities]
 input = ["text", "image", "pdf"]

providers/abacus/models/claude-sonnet-4-6.toml

@@ -1,12 +1,12 @@
-name = "Claude Sonnet 3"
+name = "Claude Sonnet 4.6"
 family = "claude-sonnet"
-release_date = "2024-03-04"
-last_updated = "2024-03-04"
+release_date = "2026-02-17"
+last_updated = "2026-02-17"
 attachment = true
-reasoning = false
+reasoning = true
 temperature = true
-knowledge = "2023-08"
 tool_call = true
+knowledge = "2025-08"
 open_weights = false
 
 [cost]
@@ -15,7 +15,7 @@ output = 15.00
 
 [limit]
 context = 200_000
-output = 4_096
+output = 64_000
 
 [modalities]
 input = ["text", "image", "pdf"]

providers/abacus/models/deepseek/deepseek-v3.1.toml

@@ -9,8 +9,8 @@ tool_call = true
 open_weights = true
 
 [cost]
-input = 0.14
-output = 0.28
+input = 0.55
+output = 1.66
 
 [limit]
 context = 128_000

providers/abacus/models/gemini-2.0-pro-exp-02-05.toml

@@ -1,17 +0,0 @@
-name = "Gemini 2.0 Pro Exp"
-family = "gemini-pro"
-release_date = "2025-02-05"
-last_updated = "2025-02-05"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-open_weights = false
-
-[limit]
-context = 2_000_000
-output = 8_192
-
-[modalities]
-input = ["text", "image", "audio", "video"]
-output = ["text"]

providers/abacus/models/gemini-3-pro-preview.toml

@@ -1,21 +0,0 @@
-name = "Gemini 3 Pro Preview"
-family = "gemini-pro"
-release_date = "2025-06-01"
-last_updated = "2025-06-01"
-attachment = true
-reasoning = true
-temperature = true
-tool_call = true
-open_weights = false
-
-[cost]
-input = 2.00
-output = 12.00
-
-[limit]
-context = 1_000_000
-output = 65_000
-
-[modalities]
-input = ["text", "image", "audio", "video"]
-output = ["text"]

providers/abacus/models/gemini-3.1-flash-lite-preview.toml

@@ -0,0 +1,24 @@
+name = "Gemini 3.1 Flash Lite Preview"
+family = "gemini-flash"
+release_date = "2026-03-01"
+last_updated = "2026-03-01"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 0.25
+output = 1.50
+cache_read = 0.025
+cache_write = 1.00
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "audio", "video", "pdf"]
+output = ["text"]

providers/abacus/models/gemini-3.1-pro-preview.toml

@@ -0,0 +1,23 @@
+name = "Gemini 3.1 Pro Preview"
+family = "gemini-pro"
+release_date = "2026-02-19"
+last_updated = "2026-02-19"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+knowledge = "2025-01"
+open_weights = false
+
+[cost]
+input = 2.00
+output = 12.00
+
+[limit]
+context = 1_048_576
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video", "audio", "pdf"]
+output = ["text"]

providers/abacus/models/gpt-5-codex.toml

@@ -0,0 +1,24 @@
+name = "GPT-5 Codex"
+family = "gpt"
+release_date = "2025-09-15"
+last_updated = "2025-09-15"
+attachment = false
+reasoning = true
+temperature = false
+knowledge = "2024-09-30"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.25
+output = 10.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/abacus/models/gpt-5.1-codex-max.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.1 Codex Max"
+family = "gpt"
+release_date = "2025-11-13"
+last_updated = "2025-11-13"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2024-09-30"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.25
+output = 10.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/abacus/models/gpt-5.1-codex.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.1 Codex"
+family = "gpt"
+release_date = "2025-11-13"
+last_updated = "2025-11-13"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2024-09-30"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.25
+output = 10.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/abacus/models/gpt-5.2-chat-latest.toml

@@ -10,8 +10,8 @@ tool_call = true
 open_weights = false
 
 [cost]
-input = 1.50
-output = 12.00
+input = 1.75
+output = 14.00
 
 [limit]
 context = 400_000

providers/abacus/models/gpt-5.2-codex.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.2 Codex"
+family = "gpt"
+release_date = "2025-12-11"
+last_updated = "2025-12-11"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2025-08-31"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.75
+output = 14.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]

providers/abacus/models/gpt-5.3-chat-latest.toml

@@ -0,0 +1,21 @@
+name = "GPT-5.3 Chat Latest"
+family = "gpt"
+release_date = "2026-03-01"
+last_updated = "2026-03-01"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[cost]
+input = 1.75
+output = 14.00
+
+[limit]
+context = 400_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/abacus/models/gpt-5.3-codex-xhigh.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.3 Codex XHigh"
+family = "gpt"
+release_date = "2026-02-05"
+last_updated = "2026-02-05"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2025-08-31"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.75
+output = 14.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]

providers/abacus/models/gpt-5.3-codex.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.3 Codex"
+family = "gpt"
+release_date = "2026-02-05"
+last_updated = "2026-02-05"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2025-08-31"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.75
+output = 14.00
+
+[limit]
+context = 400_000
+input = 272_000
+output = 128_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]

providers/abacus/models/gpt-5.4.toml

@@ -0,0 +1,24 @@
+name = "GPT-5.4"
+family = "gpt"
+release_date = "2026-03-05"
+last_updated = "2026-03-05"
+attachment = true
+reasoning = true
+temperature = false
+knowledge = "2025-08-31"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 2.50
+output = 15.00
+
+[limit]
+context = 1_050_000
+input = 922_000
+output = 128_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/abacus/models/kimi-k2.5.toml

@@ -0,0 +1,23 @@
+name = "Kimi K2.5"
+family = "kimi"
+release_date = "2026-01"
+last_updated = "2026-01"
+attachment = false
+reasoning = true
+structured_output = true
+temperature = true
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[cost]
+input = 0.60
+output = 3.00
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]

providers/abacus/models/o3-pro.toml

@@ -11,7 +11,7 @@ open_weights = false
 
 [cost]
 input = 20.00
-output = 80.00
+output = 40.00
 
 [limit]
 context = 200_000

providers/abacus/models/route-llm.toml

@@ -10,8 +10,8 @@ tool_call = true
 open_weights = false
 
 [cost]
-input = 0.50
-output = 1.50
+input = 3.00
+output = 15.00
 
 [limit]
 context = 128_000

providers/abacus/models/zai-org/glm-4.7.toml

@@ -9,8 +9,8 @@ tool_call = true
 open_weights = true
 
 [cost]
-input = 0.70
-output = 2.50
+input = 0.60
+output = 2.20
 
 [limit]
 context = 128_000

providers/abacus/models/zai-org/glm-5.toml

@@ -1,6 +1,7 @@
-name = "Z.ai: GLM 4.6 (exacto)"
-release_date = "2025-09-30"
-last_updated = "2025-09-30"
+name = "GLM-5"
+family = "glm"
+release_date = "2026-02-11"
+last_updated = "2026-02-11"
 attachment = false
 reasoning = true
 temperature = true
@@ -8,9 +9,8 @@ tool_call = true
 open_weights = true
 
 [cost]
-input = 0.44
-output = 1.76
-cache_read = 0.11
+input = 1.00
+output = 3.20
 
 [limit]
 context = 204800
@@ -18,4 +18,4 @@ output = 131072
 
 [modalities]
 input = ["text"]
-output = ["text"]
+output = ["text"]

providers/aihubmix/models/coding-glm-5-free.toml

@@ -1,25 +1,23 @@
-name = "GLM 5 Original Thinking"
+name = "Coding-GLM-5-Free"
 family = "glm"
 release_date = "2026-02-11"
 last_updated = "2026-02-11"
 attachment = false
 reasoning = true
 temperature = true
-knowledge = "2025-06"
 tool_call = true
-structured_output = true
-open_weights = true
+open_weights = false
 
 [interleaved]
 field = "reasoning_content"
 
 [cost]
-input = 0.80
-output = 2.56
+input = 0.0
+output = 0.0
 
 [limit]
-context = 200000
-output = 128000
+context = 204800
+output = 131072
 
 [modalities]
 input = ["text"]

providers/aihubmix/models/glm-5.toml

@@ -0,0 +1,24 @@
+name = "GLM-5"
+family = "glm"
+release_date = "2026-02-11"
+last_updated = "2026-02-11"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.88
+output = 2.82
+
+[limit]
+context = 204800
+output = 131072
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/aihubmix/models/minimax-m2.5.toml

@@ -1,4 +1,5 @@
-name = "Z.ai: GLM 5 (free)"
+name = "MiniMax-M2.5"
+family = "minimax"
 release_date = "2026-02-12"
 last_updated = "2026-02-12"
 attachment = false
@@ -8,13 +9,12 @@ tool_call = true
 open_weights = true
 
 [cost]
-input = 0
-output = 0
-cache_read = 0
+input = 0.29
+output = 1.15
 
 [limit]
-context = 202800
-output = 131072
+context = 204_800
+output = 131_072
 
 [modalities]
 input = ["text"]

providers/aihubmix/models/qwen3-coder-next.toml

@@ -0,0 +1,23 @@
+name = "Qwen3 Coder Next"
+family = "qwen"
+attachment = false
+reasoning = false
+tool_call = true
+structured_output = false
+temperature = true
+release_date = "2026-02-04"
+last_updated = "2026-02-04"
+open_weights = true
+
+[cost]
+input = 0.14
+output = 0.55
+
+[limit]
+context = 262_144
+input = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/aihubmix/models/qwen3.5-plus.toml

@@ -1,21 +1,21 @@
-name = "Qwen3.5 Plus Thinking"
+name = "Qwen 3.5 Plus"
 family = "qwen"
 release_date = "2026-02-16"
 last_updated = "2026-02-16"
-attachment = true
+attachment = false
 reasoning = true
 temperature = true
+knowledge = "2025-04"
 tool_call = true
-structured_output = true
 open_weights = false
 
 [cost]
-input = 0.40
-output = 2.40
+input = 0.11
+output = 0.66
 
 [limit]
-context = 983600
-output = 8192
+context = 1_000_000
+output = 65_536
 
 [modalities]
 input = ["text", "image", "video"]

providers/alibaba-cn/models/MiniMax-M2.5.toml

@@ -0,0 +1,24 @@
+name = "MiniMax-M2.5"
+family = "minimax"
+release_date = "2026-02-12"
+last_updated = "2026-02-12"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.30
+output = 1.20
+
+[interleaved]
+field = "reasoning_content"
+
+[limit]
+context = 204_800
+output = 131_072
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-cn/models/MiniMax/MiniMax-M2.5.toml

@@ -0,0 +1,21 @@
+name = "MiniMax M2.5"
+family = "minimax"
+release_date = "2026-02-12"
+last_updated = "2026-02-12"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.301
+output = 1.205
+
+[limit]
+context = 204_800
+output = 131_072
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-cn/models/glm-5.toml

@@ -0,0 +1,24 @@
+name = "GLM-5"
+family = "glm"
+release_date = "2026-02-11"
+last_updated = "2026-02-11"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.86
+output = 3.15
+
+[limit]
+context = 202_752
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-cn/models/kimi-k2.5.toml

@@ -1,12 +1,13 @@
 name = "Moonshot Kimi K2.5"
 family = "kimi"
-release_date = "2025-01-27"
-last_updated = "2025-01-27"
+release_date = "2026-01-27"
+last_updated = "2026-01-27"
 attachment = false
 reasoning = true
 temperature = true
 tool_call = true
 open_weights = true
+knowledge = "2025-01"
 structured_output = false
 
 [interleaved]
@@ -21,5 +22,5 @@ context = 262_144
 output = 32_768
 
 [modalities]
-input = ["text", "image"]
+input = ["text", "image", "video"]
 output = ["text"]

providers/alibaba-cn/models/kimi/kimi-k2.5.toml

@@ -0,0 +1,27 @@
+name = "kimi/kimi-k2.5"
+family = "kimi"
+release_date = "2026-01-27"
+last_updated = "2026-01-27"
+attachment = false
+reasoning = true
+structured_output = true
+temperature = false
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0.6
+output = 3.0
+cache_read = 0.1
+
+[limit]
+context = 262_144
+output = 262_144
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]

providers/alibaba-cn/models/qwen3.5-397b-a17b.toml

@@ -1,7 +1,7 @@
 name = "Qwen3.5 397B-A17B"
 family = "qwen"
-release_date = "2026-02"
-last_updated = "2026-02"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
 attachment = false
 reasoning = true
 temperature = true

providers/alibaba-cn/models/qwen3.5-flash.toml

@@ -0,0 +1,24 @@
+name = "Qwen3.5 Flash"
+family = "qwen"
+release_date = "2026-02-23"
+last_updated = "2026-02-23"
+attachment = true
+reasoning = true
+structured_output = true
+temperature = true
+knowledge = "2025-04"
+tool_call = true
+open_weights = false
+
+[cost]
+input = 0.172
+output = 1.72
+reasoning = 1.72
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]

providers/alibaba-cn/models/qwen3.5-plus.toml

@@ -1,7 +1,7 @@
 name = "Qwen3.5 Plus"
 family = "qwen"
-release_date = "2026-02"
-last_updated = "2026-02"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
 attachment = false
 reasoning = true
 temperature = true

providers/alibaba-cn/models/siliconflow/deepseek-r1-0528.toml

@@ -1,21 +1,21 @@
-name = "DeepSeek-R1-0528"
+name = "siliconflow/deepseek-r1-0528"
 family = "deepseek-thinking"
 release_date = "2025-05-28"
-last_updated = "2025-05-28"
+last_updated = "2025-11-25"
 attachment = false
 reasoning = true
 temperature = true
 tool_call = true
-knowledge = "2025-05"
-open_weights = true
+structured_output = true
+open_weights = false
 
 [cost]
-input = 1.35
-output = 5.4
+input = 0.5
+output = 2.18
 
 [limit]
-context = 161_000
-output = 163_840
+context = 163_840
+output = 32_768
 
 [modalities]
 input = ["text"]

providers/alibaba-cn/models/siliconflow/deepseek-v3-0324.toml

@@ -0,0 +1,22 @@
+name = "siliconflow/deepseek-v3-0324"
+family = "deepseek"
+release_date = "2024-12-26"
+last_updated = "2025-11-25"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 0.25
+output = 1.0
+
+[limit]
+context = 163_840
+output = 163_840
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-cn/models/siliconflow/deepseek-v3.1-terminus.toml

@@ -0,0 +1,22 @@
+name = "siliconflow/deepseek-v3.1-terminus"
+family = "deepseek"
+release_date = "2025-09-29"
+last_updated = "2025-11-25"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 0.27
+output = 1.0
+
+[limit]
+context = 163_840
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-cn/models/siliconflow/deepseek-v3.2.toml

@@ -0,0 +1,22 @@
+name = "siliconflow/deepseek-v3.2"
+family = "deepseek"
+release_date = "2025-12-03"
+last_updated = "2025-12-03"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 0.27
+output = 0.42
+
+[limit]
+context = 163_840
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan-cn/logo.svg

@@ -0,0 +1,3 @@
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providers/alibaba-coding-plan-cn/models/MiniMax-M2.5.toml

@@ -0,0 +1,26 @@
+name = "MiniMax-M2.5"
+family = "minimax"
+release_date = "2026-02-12"
+last_updated = "2026-02-12"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
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+
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+[limit]
+context = 196_608
+output = 24_576
+
+[modalities]
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providers/alibaba-coding-plan-cn/models/glm-4.7.toml

@@ -0,0 +1,27 @@
+name = "GLM-4.7"
+family = "glm"
+release_date = "2025-12-22"
+last_updated = "2025-12-22"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
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+
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+[cost]
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+
+[limit]
+context = 202_752
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan-cn/models/glm-5.toml

@@ -0,0 +1,26 @@
+name = "GLM-5"
+family = "glm"
+release_date = "2026-02-11"
+last_updated = "2026-02-11"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
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+
+[limit]
+context = 202_752
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan-cn/models/kimi-k2.5.toml

@@ -0,0 +1,27 @@
+name = "Kimi K2.5"
+family = "kimi"
+release_date = "2026-01-27"
+last_updated = "2026-01-27"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/alibaba-coding-plan-cn/models/qwen3-coder-next.toml

@@ -0,0 +1,24 @@
+name = "Qwen3 Coder Next"
+family = "qwen"
+release_date = "2026-02-03"
+last_updated = "2026-02-03"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan-cn/models/qwen3-coder-plus.toml

@@ -1,4 +1,4 @@
-name = "Qwen3 Coder 480B A35B Instruct"
+name = "Qwen3 Coder Plus"
 family = "qwen"
 release_date = "2025-07-23"
 last_updated = "2025-07-23"
@@ -9,14 +9,16 @@ knowledge = "2025-04"
 tool_call = true
 open_weights = true
 
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
 [limit]
-context = 262_144
-output = 66_536
+context = 1_000_000
+output = 65_536
 
 [modalities]
 input = ["text"]
 output = ["text"]
-
-[cost]
-input = 0.38
-output = 1.53

providers/alibaba-coding-plan-cn/models/qwen3-max-2026-01-23.toml

@@ -0,0 +1,24 @@
+name = "Qwen3 Max"
+family = "qwen"
+release_date = "2026-01-23"
+last_updated = "2026-01-23"
+attachment = false
+reasoning = false
+temperature = true
+knowledge = "2025-04"
+tool_call = true
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan-cn/models/qwen3.5-plus.toml

@@ -0,0 +1,24 @@
+name = "Qwen3.5 Plus"
+family = "qwen"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
+attachment = false
+reasoning = true
+temperature = true
+knowledge = "2025-04"
+tool_call = true
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 1_000_000
+output = 65_536
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/alibaba-coding-plan-cn/provider.toml

@@ -0,0 +1,5 @@
+name = "Alibaba Coding Plan (China)"
+env = ["ALIBABA_CODING_PLAN_API_KEY"]
+npm = "@ai-sdk/openai-compatible"
+doc = "https://help.aliyun.com/zh/model-studio/coding-plan"
+api = "https://coding.dashscope.aliyuncs.com/v1"

providers/alibaba-coding-plan/logo.svg

@@ -0,0 +1,3 @@
+<svg width="24" height="24" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg">
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+</svg>

providers/alibaba-coding-plan/models/MiniMax-M2.5.toml

@@ -0,0 +1,27 @@
+name = "MiniMax-M2.5"
+family = "minimax"
+release_date = "2026-02-12"
+last_updated = "2026-02-12"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[interleaved]
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+
+[limit]
+context = 196_608
+input = 196_601
+output = 24_576
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan/models/glm-4.7.toml

@@ -0,0 +1,27 @@
+name = "GLM-4.7"
+family = "glm"
+release_date = "2025-12-22"
+last_updated = "2025-12-22"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-04"
+open_weights = true
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 202_752
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan/models/glm-5.toml

@@ -0,0 +1,26 @@
+name = "GLM-5"
+family = "glm"
+release_date = "2026-02-11"
+last_updated = "2026-02-11"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = false
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 202_752
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan/models/kimi-k2.5.toml

@@ -0,0 +1,27 @@
+name = "Kimi K2.5"
+family = "kimi"
+release_date = "2026-01-27"
+last_updated = "2026-01-27"
+attachment = true
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-01"
+open_weights = true
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]

providers/alibaba-coding-plan/models/qwen3-coder-next.toml

@@ -0,0 +1,24 @@
+name = "Qwen3 Coder Next"
+family = "qwen"
+release_date = "2026-02-03"
+last_updated = "2026-02-03"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+structured_output = true
+open_weights = true
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan/models/qwen3-coder-plus.toml

@@ -1,19 +1,23 @@
-name = "Qwen: Qwen3 Coder 480B A35B (free)"
+name = "Qwen3 Coder Plus"
+family = "qwen"
 release_date = "2025-07-23"
 last_updated = "2025-07-23"
 attachment = false
 reasoning = false
 temperature = true
+knowledge = "2025-04"
 tool_call = true
 open_weights = true
 
 [cost]
 input = 0
 output = 0
+cache_read = 0
+cache_write = 0
 
 [limit]
-context = 262000
-output = 262000
+context = 1_000_000
+output = 65_536
 
 [modalities]
 input = ["text"]

providers/alibaba-coding-plan/models/qwen3-max-2026-01-23.toml

@@ -0,0 +1,24 @@
+name = "Qwen3 Max"
+family = "qwen"
+release_date = "2026-01-23"
+last_updated = "2026-01-23"
+attachment = false
+reasoning = false
+temperature = true
+knowledge = "2025-04"
+tool_call = true
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 262_144
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/alibaba-coding-plan/models/qwen3.5-plus.toml

@@ -2,20 +2,22 @@ name = "Qwen3.5 Plus"
 family = "qwen"
 release_date = "2026-02-16"
 last_updated = "2026-02-16"
-attachment = true
-reasoning = false
+attachment = false
+reasoning = true
 temperature = true
+knowledge = "2025-04"
 tool_call = true
-structured_output = true
 open_weights = false
 
 [cost]
-input = 0.40
-output = 2.40
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
 
 [limit]
-context = 983600
-output = 8192
+context = 1_000_000
+output = 65_536
 
 [modalities]
 input = ["text", "image", "video"]

providers/alibaba-coding-plan/provider.toml

@@ -0,0 +1,5 @@
+name = "Alibaba Coding Plan"
+env = ["ALIBABA_CODING_PLAN_API_KEY"]
+npm = "@ai-sdk/openai-compatible"
+doc = "https://www.alibabacloud.com/help/en/model-studio/coding-plan"
+api = "https://coding-intl.dashscope.aliyuncs.com/v1"

providers/alibaba/models/qwen3.5-397b-a17b.toml

@@ -1,7 +1,7 @@
 name = "Qwen3.5 397B-A17B"
 family = "qwen"
-release_date = "2026-02"
-last_updated = "2026-02"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
 attachment = false
 reasoning = true
 temperature = true

providers/alibaba/models/qwen3.5-plus.toml

@@ -1,7 +1,7 @@
 name = "Qwen3.5 Plus"
 family = "qwen"
-release_date = "2026-02"
-last_updated = "2026-02"
+release_date = "2026-02-16"
+last_updated = "2026-02-16"
 attachment = false
 reasoning = true
 temperature = true

providers/amazon-bedrock/models/ai21.jamba-1-5-large-v1:0.toml

@@ -1,22 +0,0 @@
-name = "Jamba 1.5 Large"
-family = "jamba"
-release_date = "2024-08-15"
-last_updated = "2024-08-15"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2024-08"
-tool_call = true
-open_weights = true
-
-[cost]
-input = 2.00
-output = 8.00
-
-[limit]
-context = 256_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/anthropic.claude-instant-v1.toml

@@ -1,22 +0,0 @@
-name = "Claude Instant"
-family = "claude"
-release_date = "2023-03-01"
-last_updated = "2023-03-01"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2023-08"
-tool_call = false
-open_weights = false
-
-[cost]
-input = 0.80
-output = 2.40
-
-[limit]
-context = 100_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/anthropic.claude-opus-4-6-v1.toml

@@ -1,7 +1,7 @@
 name = "Claude Opus 4.6"
 family = "claude-opus"
 release_date = "2026-02-05"
-last_updated = "2026-02-05"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,12 +15,6 @@ output = 25.00
 cache_read = 0.50
 cache_write = 6.25
 
-[cost.context_over_200k]
-input = 10.00
-output = 37.50
-cache_read = 1.00
-cache_write = 12.50
-
 [limit]
 context = 1_000_000
 output = 128_000

providers/amazon-bedrock/models/anthropic.claude-sonnet-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Sonnet 4.6"
 family = "claude-sonnet"
 release_date = "2026-02-17"
-last_updated = "2026-02-17"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 15.00
 cache_read = 0.30
 cache_write = 3.75
 
-[cost.context_over_200k]
-input = 6.00
-output = 22.50
-cache_read = 0.60
-cache_write = 7.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 64_000
 
 [modalities]

providers/amazon-bedrock/models/anthropic.claude-v2.toml

@@ -1,22 +0,0 @@
-name = "Claude 2"
-family = "claude"
-release_date = "2023-07-11"
-last_updated = "2023-07-11"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2023-08"
-tool_call = false
-open_weights = false
-
-[cost]
-input = 8.00
-output = 24.00
-
-[limit]
-context = 100_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/cohere.command-light-text-v14.toml

@@ -1,22 +0,0 @@
-name = "Command Light"
-family = "command-light"
-release_date = "2023-11-01"
-last_updated = "2023-11-01"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2023-08"
-tool_call = false
-open_weights = true
-
-[cost]
-input = 0.30
-output = 0.60
-
-[limit]
-context = 4_096
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/cohere.command-text-v14.toml

@@ -1,22 +0,0 @@
-name = "Command"
-family = "command"
-release_date = "2023-11-01"
-last_updated = "2023-11-01"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2023-08"
-tool_call = false
-open_weights = true
-
-[cost]
-input = 1.50
-output = 2.00
-
-[limit]
-context = 4_096
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/deepseek.v3.2.toml

@@ -1,7 +1,7 @@
 name = "DeepSeek-V3.2"
 family = "deepseek"
-release_date = "2026-02-15"
-last_updated = "2026-02-15"
+release_date = "2026-02-06"
+last_updated = "2026-02-06"
 attachment = false
 reasoning = true
 temperature = true

providers/amazon-bedrock/models/eu.anthropic.claude-opus-4-6-v1.toml

@@ -1,7 +1,7 @@
 name = "Claude Opus 4.6 (EU)"
 family = "claude-opus"
 release_date = "2026-02-05"
-last_updated = "2026-02-05"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,12 +15,6 @@ output = 25.00
 cache_read = 0.50
 cache_write = 6.25
 
-[cost.context_over_200k]
-input = 10.00
-output = 37.50
-cache_read = 1.00
-cache_write = 12.50
-
 [limit]
 context = 1_000_000
 output = 128_000

providers/amazon-bedrock/models/eu.anthropic.claude-sonnet-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Sonnet 4.6 (EU)"
 family = "claude-sonnet"
 release_date = "2026-02-17"
-last_updated = "2026-02-17"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 15.00
 cache_read = 0.30
 cache_write = 3.75
 
-[cost.context_over_200k]
-input = 6.00
-output = 22.50
-cache_read = 0.60
-cache_write = 7.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 64_000
 
 [modalities]

providers/amazon-bedrock/models/global.anthropic.claude-opus-4-6-v1.toml

@@ -1,7 +1,7 @@
 name = "Claude Opus 4.6 (Global)"
 family = "claude-opus"
 release_date = "2026-02-05"
-last_updated = "2026-02-05"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,12 +15,6 @@ output = 25.00
 cache_read = 0.50
 cache_write = 6.25
 
-[cost.context_over_200k]
-input = 10.00
-output = 37.50
-cache_read = 1.00
-cache_write = 12.50
-
 [limit]
 context = 1_000_000
 output = 128_000

providers/amazon-bedrock/models/global.anthropic.claude-sonnet-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Sonnet 4.6 (Global)"
 family = "claude-sonnet"
 release_date = "2026-02-17"
-last_updated = "2026-02-17"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 15.00
 cache_read = 0.30
 cache_write = 3.75
 
-[cost.context_over_200k]
-input = 6.00
-output = 22.50
-cache_read = 0.60
-cache_write = 7.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 64_000
 
 [modalities]

providers/amazon-bedrock/models/meta.llama3-1-405b-instruct-v1:0.toml

@@ -1,16 +1,17 @@
-name = "Llama 3.1 70B Instruct"
+name = "Llama 3.1 405B Instruct"
 family = "llama"
 release_date = "2024-07-23"
 last_updated = "2024-07-23"
 attachment = false
 reasoning = false
 temperature = true
+knowledge = "2023-12"
 tool_call = true
 open_weights = true
 
 [cost]
-input = 0.40
-output = 0.40
+input = 2.40
+output = 2.40
 
 [limit]
 context = 128_000

providers/amazon-bedrock/models/mistral.devstral-2-123b.toml

@@ -1,21 +1,20 @@
-name = "Jamba 1.5 Mini"
-family = "jamba"
-release_date = "2024-08-15"
-last_updated = "2024-08-15"
+name = "Devstral 2 123B"
+family = "devstral"
+release_date = "2026-02-17"
+last_updated = "2026-02-17"
 attachment = false
 reasoning = false
 temperature = true
-knowledge = "2024-08"
 tool_call = true
 open_weights = true
 
 [cost]
-input = 0.20
-output = 0.40
+input = 0.40
+output = 2.00
 
 [limit]
 context = 256_000
-output = 4_096
+output = 8_192
 
 [modalities]
 input = ["text"]

providers/amazon-bedrock/models/mistral.magistral-small-2509.toml

@@ -0,0 +1,21 @@
+name = "Magistral Small 1.2"
+family = "magistral"
+release_date = "2025-12-02"
+last_updated = "2025-12-02"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.50
+output = 1.50
+
+[limit]
+context = 128_000
+output = 40_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/amazon-bedrock/models/mistral.ministral-3-3b-instruct.toml

@@ -0,0 +1,21 @@
+name = "Ministral 3 3B"
+family = "ministral"
+release_date = "2025-12-02"
+last_updated = "2025-12-02"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.10
+output = 0.10
+
+[limit]
+context = 256_000
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/amazon-bedrock/models/mistral.mistral-large-3-675b-instruct.toml

@@ -0,0 +1,21 @@
+name = "Mistral Large 3"
+family = "mistral"
+release_date = "2025-12-02"
+last_updated = "2025-12-02"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.50
+output = 1.50
+
+[limit]
+context = 256_000
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/amazon-bedrock/models/mistral.mixtral-8x7b-instruct-v0:1.toml

@@ -1,22 +0,0 @@
-name = "Mixtral-8x7B-Instruct-v0.1"
-family = "mixtral"
-release_date = "2025-04-01"
-last_updated = "2025-04-01"
-attachment = false
-reasoning = false
-tool_call = false
-structured_output = true
-temperature = true
-open_weights = true
-
-[cost]
-input = 0.70
-output = 0.70
-
-[limit]
-context = 32_000
-output = 32_000
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/amazon-bedrock/models/mistral.pixtral-large-2502-v1:0.toml

@@ -0,0 +1,21 @@
+name = "Pixtral Large (25.02)"
+family = "mistral"
+release_date = "2025-04-08"
+last_updated = "2025-04-08"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = false
+
+[cost]
+input = 2.00
+output = 6.00
+
+[limit]
+context = 128_000
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/amazon-bedrock/models/moonshot.kimi-k2-thinking.toml

@@ -1,5 +1,6 @@
 name = "Kimi K2 Thinking"
 release_date = "2025-12-02"
+family = "kimi-thinking"
 last_updated = "2025-12-02"
 attachment = false
 reasoning = true

providers/amazon-bedrock/models/moonshotai.kimi-k2.5.toml

@@ -1,4 +1,5 @@
 name = "Kimi K2.5"
+family = "kimi"
 release_date = "2026-02-06"
 last_updated = "2026-02-06"
 attachment = false

providers/amazon-bedrock/models/nvidia.nemotron-nano-3-30b.toml

@@ -1,17 +1,16 @@
-name = "Command R+"
-family = "command-r"
-release_date = "2024-04-04"
-last_updated = "2024-04-04"
+name = "NVIDIA Nemotron Nano 3 30B"
+family = "nemotron"
+release_date = "2025-12-23"
+last_updated = "2025-12-23"
 attachment = false
-reasoning = false
+reasoning = true
 temperature = true
-knowledge = "2024-04"
 tool_call = true
 open_weights = true
 
 [cost]
-input = 3.00
-output = 15.00
+input = 0.06
+output = 0.24
 
 [limit]
 context = 128_000

providers/amazon-bedrock/models/us.anthropic.claude-opus-4-6-v1.toml

@@ -1,7 +1,7 @@
 name = "Claude Opus 4.6 (US)"
 family = "claude-opus"
 release_date = "2026-02-05"
-last_updated = "2026-02-05"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,12 +15,6 @@ output = 25.00
 cache_read = 0.50
 cache_write = 6.25
 
-[cost.context_over_200k]
-input = 10.00
-output = 37.50
-cache_read = 1.00
-cache_write = 12.50
-
 [limit]
 context = 1_000_000
 output = 128_000

providers/amazon-bedrock/models/us.anthropic.claude-sonnet-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Sonnet 4.6 (US)"
 family = "claude-sonnet"
 release_date = "2026-02-17"
-last_updated = "2026-02-17"
+last_updated = "2026-03-18"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 15.00
 cache_read = 0.30
 cache_write = 3.75
 
-[cost.context_over_200k]
-input = 6.00
-output = 22.50
-cache_read = 0.60
-cache_write = 7.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 64_000
 
 [modalities]

providers/amazon-bedrock/provider.toml

@@ -1,4 +1,4 @@
 name = "Amazon Bedrock"
-env = ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY", "AWS_REGION"]
+env = ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY", "AWS_REGION", "AWS_BEARER_TOKEN_BEDROCK"]
 npm = "@ai-sdk/amazon-bedrock"
 doc = "https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html"

providers/anthropic/models/claude-opus-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Opus 4.6"
 family = "claude-opus"
 release_date = "2026-02-05"
-last_updated = "2026-02-05"
+last_updated = "2026-03-13"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 25.00
 cache_read = 0.50
 cache_write = 6.25
 
-[cost.context_over_200k]
-input = 10.00
-output = 37.50
-cache_read = 1.00
-cache_write = 12.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 128_000
 
 [modalities]

providers/anthropic/models/claude-sonnet-4-6.toml

@@ -1,7 +1,7 @@
 name = "Claude Sonnet 4.6"
 family = "claude-sonnet"
 release_date = "2026-02-17"
-last_updated = "2026-02-17"
+last_updated = "2026-03-13"
 attachment = true
 reasoning = true
 temperature = true
@@ -15,14 +15,8 @@ output = 15.00
 cache_read = 0.30
 cache_write = 3.75
 
-[cost.context_over_200k]
-input = 6.00
-output = 22.50
-cache_read = 0.60
-cache_write = 7.50
-
 [limit]
-context = 200_000
+context = 1_000_000
 output = 64_000
 
 [modalities]

providers/azure-cognitive-services/models/claude-haiku-4-5.toml

@@ -1 +0,0 @@
-../../azure/models/claude-haiku-4-5.toml

providers/azure-cognitive-services/models/claude-haiku-4-5.toml

@@ -0,0 +1,29 @@
+name = "Claude Haiku 4.5"
+family = "claude-haiku"
+release_date = "2025-11-18"
+last_updated = "2025-11-18"
+attachment = true
+reasoning = true
+temperature = true
+knowledge = "2025-02-31"
+tool_call = true
+structured_output = true
+open_weights = false
+
+[cost]
+input = 1.00
+output = 5.00
+cache_read = 0.10
+cache_write = 1.25
+
+[limit]
+context = 200_000
+output = 64_000
+
+[modalities]
+input = ["text", "image", "pdf"]
+output = ["text"]
+
+[provider]
+npm = "@ai-sdk/anthropic"
+api = "https://${AZURE_COGNITIVE_SERVICES_RESOURCE_NAME}.services.ai.azure.com/anthropic/v1"

providers/azure-cognitive-services/models/claude-opus-4-1.toml

@@ -1 +0,0 @@
-../../azure/models/claude-opus-4-1.toml