add AnyAPI sync provider

.github/workflows/sync-models.yml

@@ -64,6 +64,7 @@ jobs:
         run: bun models:sync ${{ matrix.provider }}
         env:
           ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+          ANYAPI_API_KEY: ${{ secrets.ANYAPI_API_KEY }}
           BASETEN_API_KEY: ${{ secrets.BASETEN_API_KEY }}
           DEEPINFRA_API_KEY: ${{ secrets.DEEPINFRA_API_KEY }}
           DIGITALOCEAN_API_TOKEN: ${{ secrets.DIGITALOCEAN_API_TOKEN }}

packages/core/src/sync/index.ts

@@ -6,6 +6,7 @@ import { z } from "zod";
 import { AuthoredModel, AuthoredModelShape, ModelMetadata } from "../schema.js";
 import { ambient } from "./providers/ambient.js";
 import { anthropic } from "./providers/anthropic.js";
+import { anyapi } from "./providers/anyapi.js";
 import { baseten } from "./providers/baseten.js";
 import { chutes } from "./providers/chutes.js";
 import { cloudflareWorkersAi } from "./providers/cloudflare-workers-ai.js";
@@ -94,6 +95,7 @@ export interface SyncResult {
 
 export const providers: {
   ambient: SyncProvider<any>;
+  anyapi: SyncProvider<any>;
   anthropic: SyncProvider<any>;
   baseten: SyncProvider<any>;
   chutes: SyncProvider<any>;
@@ -116,6 +118,7 @@ export const providers: {
   xai: SyncProvider<any>;
 } = {
   ambient,
+  anyapi,
   anthropic,
   baseten,
   chutes,
@@ -139,7 +142,7 @@ export const providers: {
 };
 
 export const groups = {
-  aggregators: ["crossmodel", "empiriolabs", "huggingface", "kilo", "llmgateway", "openrouter", "vercel"],
+  aggregators: ["anyapi", "crossmodel", "empiriolabs", "huggingface", "kilo", "llmgateway", "openrouter", "vercel"],
   cloudflare: ["cloudflare-workers-ai"],
   direct: ["ambient", "anthropic", "baseten", "chutes", "deepinfra", "digitalocean", "google", "openai", "ovhcloud", "pioneer", "venice", "wandb", "xai"],
 } as const;

packages/core/src/sync/providers/anyapi.ts

@@ -0,0 +1,67 @@
+import { z } from "zod";
+
+import { AuthoredModel } from "../../schema.js";
+import type { ExistingModel, SyncProvider, SyncedModel } from "../index.js";
+
+const API_ENDPOINT = "https://api.anyapi.ai/v1/models";
+
+const AnyAPIModel = z.object({
+  id: z.string(),
+});
+
+const AnyAPIResponse = z.object({
+  data: z.array(AnyAPIModel.passthrough()),
+}).passthrough();
+
+export type AnyAPIModel = z.infer<typeof AnyAPIModel>;
+
+function preserveAuthoredModel(id: string, authored: ExistingModel): SyncedModel {
+  if (authored.base_model !== undefined) return authored as SyncedModel;
+
+  const parsed = AuthoredModel.safeParse({ id, ...authored });
+  if (!parsed.success) {
+    parsed.error.cause = { provider: "anyapi", model: id };
+    throw parsed.error;
+  }
+  const { id: _id, ...model } = parsed.data;
+  return model;
+}
+
+export const anyapi = {
+  id: "anyapi",
+  name: "AnyAPI",
+  modelsDir: "providers/anyapi/models",
+  skipCreates: true,
+  deleteMissing: false,
+  sourceID(model) {
+    return model.id;
+  },
+  skippedNotice(ids) {
+    if (ids.length === 0) return [];
+    return [
+      `${ids.length} AnyAPI models returned by the API were not created because the /v1/models endpoint is not authoritative beyond model IDs. Existing models are still updated while new models require hand-authored metadata.`,
+      `Skipped remote IDs: ${ids.map((id) => `\`${id}\``).join(", ")}`,
+    ];
+  },
+  async fetchModels() {
+    const key = process.env.ANYAPI_API_KEY;
+    if (!key) {
+      throw new Error("ANYAPI_API_KEY environment variable is required");
+    }
+    const response = await fetch(API_ENDPOINT, {
+      headers: { Authorization: "Bearer " + key },
+    });
+    if (!response.ok) {
+      throw new Error("AnyAPI request failed: " + response.status + " " + response.statusText);
+    }
+    return response.json();
+  },
+  parseModels(raw) {
+    return AnyAPIResponse.parse(raw).data;
+  },
+  translateModel(model, context) {
+    const authored = context.authored(model.id);
+    if (authored === undefined) return undefined;
+    return { id: model.id, model: preserveAuthoredModel(model.id, authored) };
+  },
+} satisfies SyncProvider<AnyAPIModel>;

providers/anyapi/models/anthropic/claude-haiku-4-5.toml → providers/anyapi/models/anthropic/claude-haiku-4.5.toml

@@ -1,6 +1,6 @@
-base_model = "anthropic/claude-haiku-4-5"
 # AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
 # model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
 # https://docs.anyapi.ai/guides/parameters
 # https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
+base_model = "anthropic/claude-haiku-4-5"
 reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]

providers/anyapi/models/anthropic/claude-opus-4-6.toml → providers/anyapi/models/anthropic/claude-opus-4.6.toml

@@ -1,8 +1,8 @@
-base_model = "anthropic/claude-opus-4-6"
 # AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
 # model-specific 1,024..127,999 bounds or off mapping; these remain upstream facts.
 # https://docs.anyapi.ai/guides/parameters
 # https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
+base_model = "anthropic/claude-opus-4-6"
 reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 127_999 }]
 
 [experimental.modes.fast]

providers/anyapi/models/anthropic/claude-opus-4-7.toml → providers/anyapi/models/anthropic/claude-opus-4.7.toml

@@ -1,7 +1,7 @@
-base_model = "anthropic/claude-opus-4-7"
 # AnyAPI documents generic effort and thinking fields, but no Opus 4.7-specific
 # mapping or budget bounds; accepted schema does not prove effective control.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "anthropic/claude-opus-4-7"
 reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }]
 
 [experimental.modes.fast]

providers/anyapi/models/anthropic/claude-sonnet-4-5.toml → providers/anyapi/models/anthropic/claude-sonnet-4.5.toml

@@ -1,6 +1,6 @@
-base_model = "anthropic/claude-sonnet-4-5"
 # AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
 # model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
 # https://docs.anyapi.ai/guides/parameters
 # https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
+base_model = "anthropic/claude-sonnet-4-5"
 reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]

providers/anyapi/models/anthropic/claude-sonnet-4-6.toml → providers/anyapi/models/anthropic/claude-sonnet-4.6.toml

@@ -1,6 +1,6 @@
-base_model = "anthropic/claude-sonnet-4-6"
 # AnyAPI accepts thinking.type="enabled" with budget_tokens, but documents no
 # model-specific 1,024..63,999 bounds or off mapping; these remain upstream facts.
 # https://docs.anyapi.ai/guides/parameters
 # https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking
+base_model = "anthropic/claude-sonnet-4-6"
 reasoning_options = [{ type = "toggle" }, { type = "effort", values = ["low", "medium", "high"] }, { type = "budget_tokens", min = 1_024, max = 63_999 }]

providers/anyapi/models/google/gemini-3-pro-image.toml

@@ -0,0 +1,2 @@
+base_model = "google/gemini-3-pro-image"
+reasoning_options = []

providers/anyapi/models/openai/gpt-5-mini.toml

@@ -1,5 +1,5 @@
-base_model = "openai/gpt-5-mini"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/gpt-5-mini"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/gpt-5.1.toml

@@ -1,5 +1,5 @@
-base_model = "openai/gpt-5.1"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/gpt-5.1"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/gpt-5.2.toml

@@ -1,5 +1,5 @@
-base_model = "openai/gpt-5.2"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/gpt-5.2"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/gpt-5.4.toml

@@ -1,7 +1,7 @@
-base_model = "openai/gpt-5.4"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/gpt-5.4"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 
 [experimental.modes.fast]

providers/anyapi/models/openai/gpt-5.toml

@@ -1,5 +1,5 @@
-base_model = "openai/gpt-5"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/gpt-5"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/o3-mini.toml

@@ -1,5 +1,5 @@
-base_model = "openai/o3-mini"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/o3-mini"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/o3.toml

@@ -1,5 +1,5 @@
-base_model = "openai/o3"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/o3"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]

providers/anyapi/models/openai/o4-mini.toml

@@ -1,5 +1,5 @@
-base_model = "openai/o4-mini"
 # AnyAPI accepts low/medium/high generically but documents no model-specific
 # effectiveness; unsupported parameters may be silently ignored.
 # https://docs.anyapi.ai/guides/parameters
+base_model = "openai/o4-mini"
 reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]