fix(client): refresh only loaded catalogs on location events

Every Location booted on the server emits catalog, agent, command, skill,
reference, integration, websearch and MCP events, including Locations this
client never opened. Each event eagerly re-fetched that location's catalog,
producing request waves across hundreds of directories.

Events still invalidate so the next explicit read is fresh, but only catalogs
a consumer already read are re-fetched, mirroring the existing config.updated
guard. credential.* events apply the same rule per stored location key.

Websearch providers have no explicit reader; the TUI's integration dialog
relies on events to fill them, so that refresh is gated on the location having
been opened (syncInfo) instead of on a prior read.

.changeset/directory-page-heading.md

@@ -1,5 +1,5 @@
 ---
-"@opencode/core": patch
+"@opencode-ai/core": patch
 ---
 
 Correct directory page headings when the read offset is zero.

.github/workflows/publish.yml

@@ -91,7 +91,7 @@ jobs:
 
       - uses: ./.github/actions/setup-bun
         with:
-          bun-version: 1.4.2
+          bun-version: 1.4.1
 
       - name: Setup git committer
         id: committer
@@ -113,7 +113,7 @@ jobs:
         id: build
         run: ./packages/cli/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
         env:
-          BUN_COMPILE_RELEASE: bun-v1.4.2
+          BUN_COMPILE_RELEASE: bun-v1.4.1
           OPENCODE_VERSION: ${{ needs.version.outputs.version }}
           OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
           GH_REPO: ${{ needs.version.outputs.repo }}

.github/workflows/test.yml

@@ -49,7 +49,7 @@ jobs:
             echo "app=true" >> "$GITHUB_OUTPUT"
             exit 0
           fi
-          bun x turbo@2.10.2 ls --affected --filter=@opencode/app --output=json > affected.json
+          bun x turbo@2.10.2 ls --affected --filter=@opencode-ai/app --output=json > affected.json
           bun -e 'const result = await Bun.file("affected.json").json(); console.log(`app=${result.packages.count > 0}`)' >> "$GITHUB_OUTPUT"
 
   unit:
@@ -132,10 +132,10 @@ jobs:
         timeout-minutes: 15
         run: |
           if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
-            bun turbo verify:package --filter=@opencode/sdk
+            bun turbo verify:package --filter=@opencode-ai/sdk
             exit 0
           fi
-          bun turbo verify:package --affected --filter=@opencode/sdk
+          bun turbo verify:package --affected --filter=@opencode-ai/sdk
         env:
           TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
           TURBO_SCM_HEAD: ${{ github.sha }}

.opencode/tool/github-pr-search.ts

@@ -1,5 +1,5 @@
 /// <reference path="../env.d.ts" />
-import { tool } from "@opencode/plugin"
+import { tool } from "@opencode-ai/plugin"
 async function githubFetch(endpoint: string, options: RequestInit = {}) {
   const response = await fetch(`https://api.github.com${endpoint}`, {
     ...options,

.opencode/tool/github-triage.ts

@@ -1,5 +1,5 @@
 /// <reference path="../env.d.ts" />
-import { tool } from "@opencode/plugin"
+import { tool } from "@opencode-ai/plugin"
 
 const TEAM = {
   tui: ["kommander", "simonklee"],

AGENTS.md

@@ -84,9 +84,9 @@ const { a, b } = obj
 ### Imports
 
 - Never alias imports. Do not use `import { foo as bar } from "..."` or renamed imports like `resolve as pathResolve`.
-- Never use type-position `import("...")` references such as `Schema.declare<import("@opencode/plugin/effect/plugin").Plugin["effect"]>`. Only when two imports genuinely collide on a name and no other option exists, an aliased type import (`import type { Plugin as PluginDefinition } from "..."`) is permitted as a last resort — still strongly preferred not to.
+- Never use type-position `import("...")` references such as `Schema.declare<import("@opencode-ai/plugin/effect/plugin").Plugin["effect"]>`. Only when two imports genuinely collide on a name and no other option exists, an aliased type import (`import type { Plugin as PluginDefinition } from "..."`) is permitted as a last resort — still strongly preferred not to.
 - Never use star imports. Do not use `import * as Foo from "..."` or `import type * as Foo from "..."`.
-- If a namespace-style value is needed, import the module's own exported namespace by name, for example `import { Project } from "@opencode/core/project"`, then reference `Project.ID`.
+- If a namespace-style value is needed, import the module's own exported namespace by name, for example `import { Project } from "@opencode-ai/core/project"`, then reference `Project.ID`.
 - Prefer dynamic imports for heavy modules that are only needed in selected code paths, especially in startup-sensitive entrypoints. Destructure dynamic import bindings near the top of the narrowest scope that needs them so they read like normal imports. Avoid inline chains such as `await import("./module").then((mod) => mod.value())` or `(await import("./module")).value()`. Keep branch-specific imports inside the branch that needs them to preserve lazy loading.
 
 ### Variables

bunfig.toml

@@ -2,7 +2,7 @@
 exact = true
 # Only install newly resolved package versions published at least 3 days ago.
 minimumReleaseAge = 259200
-minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@opencode/sdk", "@opencode-ai/pty", "@opencode-ai/pty-darwin-arm64", "@opencode-ai/pty-darwin-x64", "@opencode-ai/pty-linux-arm64-gnu", "@opencode-ai/pty-linux-arm64-musl", "@opencode-ai/pty-linux-x64-gnu", "@opencode-ai/pty-linux-x64-musl", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron", "electron-builder", "electron-publish", "blume", "mermaid"]
+minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@opencode-ai/sdk", "@opencode-ai/pty", "@opencode-ai/pty-darwin-arm64", "@opencode-ai/pty-darwin-x64", "@opencode-ai/pty-linux-arm64-gnu", "@opencode-ai/pty-linux-arm64-musl", "@opencode-ai/pty-linux-x64-gnu", "@opencode-ai/pty-linux-x64-musl", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron", "electron-builder", "electron-publish", "blume", "mermaid"]
 
 [test]
 root = "./do-not-run-tests-from-root"

infra/console.ts

@@ -235,7 +235,6 @@ const bucketNew = new sst.cloudflare.Bucket("ZenDataNew")
 const DISCORD_INCIDENT_WEBHOOK_URL = new sst.Secret("DISCORD_INCIDENT_WEBHOOK_URL")
 const AWS_SES_ACCESS_KEY_ID = new sst.Secret("AWS_SES_ACCESS_KEY_ID")
 const AWS_SES_SECRET_ACCESS_KEY = new sst.Secret("AWS_SES_SECRET_ACCESS_KEY")
-const ENTERPRISE_SALES_INBOX_EMAIL = new sst.Secret("ENTERPRISE_SALES_INBOX_EMAIL")
 
 const SALESFORCE_CLIENT_ID = new sst.Secret("SALESFORCE_CLIENT_ID")
 const SALESFORCE_CLIENT_SECRET = new sst.Secret("SALESFORCE_CLIENT_SECRET")
@@ -264,7 +263,6 @@ new sst.cloudflare.x.SolidStart("Console", {
     EMAILOCTOPUS_API_KEY,
     AWS_SES_ACCESS_KEY_ID,
     AWS_SES_SECRET_ACCESS_KEY,
-    ENTERPRISE_SALES_INBOX_EMAIL,
     SALESFORCE_CLIENT_ID,
     SALESFORCE_CLIENT_SECRET,
     SALESFORCE_INSTANCE_URL,

install

@@ -165,30 +165,22 @@ else
         exit 1
     fi
 
-    package_scope="@opencode"
     if [ -z "$requested_version" ]; then
-        metadata=$(curl -fsSL https://opencode.ai/update/api/beta/cli/npm || true)
+        metadata=$(curl -fsSL https://registry.npmjs.org/@opencode-ai%2fcli/beta || true)
         specific_version=$(echo "$metadata" | sed -n 's/.*"version":"\([^"]*\)".*/\1/p')
-        package=$(echo "$metadata" | sed -n 's/.*"package":"\([^"]*\)".*/\1/p')
 
-        if [ -z "$specific_version" ] || [ -z "$package" ]; then
+        if [ -z "$specific_version" ]; then
             echo -e "${RED}Failed to fetch version information${NC}"
             exit 1
         fi
-        package_scope="${package%/cli}"
     else
         # Strip leading 'v' if present
         requested_version="${requested_version#v}"
         specific_version=$requested_version
     fi
 
-    package_name="$package_scope/cli-$target"
-    http_status=$(curl -s -o /dev/null -w "%{http_code}" "https://registry.npmjs.org/$package_scope%2fcli-$target/$specific_version" || true)
-    # Older clients install the minimum release before they can migrate package names.
-    if [ "$http_status" = "404" ] && [ -n "$requested_version" ]; then
-        package_name="@opencode-ai/cli-$target"
-        http_status=$(curl -s -o /dev/null -w "%{http_code}" "https://registry.npmjs.org/@opencode-ai%2fcli-$target/$specific_version" || true)
-    fi
+    package_name="@opencode-ai/cli-$target"
+    http_status=$(curl -s -o /dev/null -w "%{http_code}" "https://registry.npmjs.org/@opencode-ai%2fcli-$target/$specific_version" || true)
     if [ "$http_status" = "404" ]; then
         echo -e "${RED}Error: Version ${specific_version} is not available for $target${NC}"
         echo -e "${MUTED}Available versions: https://www.npmjs.com/package/$package_name?activeTab=versions${NC}"

nix/desktop.nix

@@ -88,7 +88,7 @@ stdenv.mkDerivation (finalAttrs: {
     cd packages/desktop
 
     export OPENCODE_CLI_DIST="$TMPDIR/desktop-cli"
-    cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode/", ""))')
+    cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode-ai/", ""))')
     mkdir -p "$OPENCODE_CLI_DIST/$cli_package/bin"
     cp ${lib.getExe opencode} "$OPENCODE_CLI_DIST/$cli_package/bin/opencode2"
 

nix/hashes.json

@@ -1,8 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-+E2chSxD9x139rXmeomoJMiNybSAAZstB2UiOBst8nE=",
-    "aarch64-linux": "sha256-Wsm3Q4+k1kzxP0aBv2MRJl2sW/q/7CD9GuWsd4J7xEo=",
-    "aarch64-darwin": "sha256-6lrSRpyGrN0FmQ3dXSaUERUQyW4IxjXCCeWi5oJ6GyM=",
-    "x86_64-darwin": "sha256-V7XSss7r0hkUsH92rtJhwuWEZXnemridoF6wCTbl8Lc="
+    "x86_64-linux": "sha256-IDORw4Nup1Yj+RZSLGo0pDnwrkveYA8GvYQVNTJUnMM=",
+    "aarch64-linux": "sha256-jxjyAI2imF7csdZNUqvs9mFj8SnYqGg1CapEEk15rxA=",
+    "aarch64-darwin": "sha256-Hbh+cw2DPOJpYCDjasK6m0SLqznyAw1ODKSb7w87GG8=",
+    "x86_64-darwin": "sha256-Aj0/MtMPoeccrN36mu2wUM6gyRKaTF2AbjZ0/wZtKnA="
   }
 }

nix/node_modules.nix

@@ -31,7 +31,7 @@ stdenvNoCC.mkDerivation {
         ../package.json
         ../patches
         ../install # required by desktop build (cli.rs include_str!)
-        ../.github/TEAM_MEMBERS # required by @opencode/script
+        ../.github/TEAM_MEMBERS # required by @opencode-ai/script
       ]
     );
   };

package.json

@@ -5,9 +5,9 @@
   "version": "0.0.0",
   "private": true,
   "type": "module",
-  "packageManager": "bun@1.4.2",
+  "packageManager": "bun@1.4.1",
   "scripts": {
-    "dev": "bun run --cwd packages/cli src/index.ts",
+    "dev": "bun run --cwd packages/cli --conditions=browser src/index.ts",
     "dev:live": "sh -c 'OPENCODE_TUI_CHANNEL=dev OPENCODE_PASSWORD=\"$(opencode2 service get password)\" exec bun run dev \"$@\" --server \"$(opencode2 service status)\"' --",
     "dev:desktop": "bun --cwd packages/desktop dev",
     "dev:web": "bun --cwd packages/app dev",
@@ -128,8 +128,8 @@
   },
   "dependencies": {
     "@aws-sdk/client-s3": "3.933.0",
-    "@opencode/plugin": "workspace:*",
-    "@opencode/script": "workspace:*",
+    "@opencode-ai/plugin": "workspace:*",
+    "@opencode-ai/script": "workspace:*",
     "heap-snapshot-toolkit": "1.1.3",
     "typescript": "catalog:"
   },
@@ -146,6 +146,10 @@
     "esbuild",
     "node-pty",
     "protobufjs",
+    "tree-sitter",
+    "tree-sitter-bash",
+    "tree-sitter-powershell",
+    "web-tree-sitter",
     "electron"
   ],
   "overrides": {
@@ -155,7 +159,7 @@
     "@effect/platform-node-shared": "catalog:",
     "@types/bun": "catalog:",
     "@types/node": "catalog:",
-    "bun-types": "1.4.2",
+    "bun-types": "1.4.1",
     "effect": "catalog:",
     "solid-js": "catalog:"
   },

packages/ai/AGENTS.md

@@ -81,7 +81,7 @@ export const route = Route.make({
 
 Route defaults are request-shaping defaults such as `headers`, `limits`, `generation`, `providerOptions`, and `http`. Endpoint host/query belongs on the route endpoint. Selected `LanguageModel` values carry only model id, provider id, and the configured route value. Model capability/catalog metadata lives outside this package; protocol support is enforced by request lowering and typed `AIError`s.
 
-The four-axis decomposition is the reason DeepSeek, TogetherAI, Cerebras, Baseten, Fireworks, and DeepInfra all reuse `OpenAIChat.protocol` verbatim — each provider owns a small `Route.make(...)` composition instead of a protocol clone. Bug fixes in one protocol propagate to every consumer of that protocol in a single commit.
+The four-axis decomposition is the reason DeepSeek, TogetherAI, Cerebras, Baseten, Fireworks, and DeepInfra all reuse `OpenAIChat.protocol` verbatim — each provider deployment is a 5-15 line `Route.make(...)` call instead of a 300-400 line route clone. Bug fixes in one protocol propagate to every consumer of that protocol in a single commit.
 
 When a provider supports multiple physical transports, selection remains execution policy below its semantic route. `OpenResponsesChannel.transport(...)` owns the provider-neutral Responses WebSocket concept: it prepares one final request, executes HTTP by default, strips WebSocket-disallowed fields, and passes a generic channel exchange to a per-call `WebSocketChannelExecutor` when supplied. Provider-specific Responses routes opt in with handshake and connection-age policy. `Route.streamPrepared` owns decoding and acknowledges channel completion only after successful full consumption.
 
@@ -115,16 +115,15 @@ Keep provider facades small and explicit:
 - Prefer `apiKey` as provider-specific sugar and `auth` as the explicit override; keep them mutually exclusive in provider option types with `ProviderAuthOption`.
 - Resolve `apiKey` → `Auth` with `AuthOptions.bearer(options, "<PROVIDER>_API_KEY")` (it honors an explicit `auth` override and falls back to `Auth.config(envVar)` so missing keys surface a typed `Authentication` error rather than a runtime crash).
 - Use separate top-level facades for products with different required setup, such as `CloudflareAIGateway` and `CloudflareWorkersAI`.
-- Give every named provider its own file and top-level export. Keep its endpoint, auth defaults, and route setup in that file. Compose shared protocols directly; do not nest named provider presets under generic compatible facades or keep their endpoints in a shared provider profile registry.
 
 `Provider.make(...)` remains available for simple static provider definitions, but new built-in providers should prefer plain configured facades unless a helper removes real duplication without adding runtime behavior.
 
 ### Provider Package Entrypoints
 
-Catalog-selected native providers use package-like export paths from `@opencode/ai`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
+Catalog-selected native providers use package-like export paths from `@opencode-ai/ai`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
 
 ```ts
-import { model } from "@opencode/ai/providers/openai/responses"
+import { model } from "@opencode-ai/ai/providers/openai/responses"
 
 const selected = model("gpt-5", {
   apiKey,

packages/ai/README.md

@@ -1,12 +1,12 @@
-# @opencode/ai
+# @opencode-ai/ai
 
-Schema-first language model and image-generation APIs built with Effect.
+Schema-first AI primitives for opencode. Provider quirks live in adapters, not in calling code.
 
 ```ts
 import { Effect, Layer } from "effect"
-import { LLM, LLMClient } from "@opencode/ai"
-import { RequestExecutor } from "@opencode/ai/route"
-import { OpenAI } from "@opencode/ai/providers"
+import { LLM, LLMClient } from "@opencode-ai/ai"
+import { RequestExecutor } from "@opencode-ai/ai/route"
+import { OpenAI } from "@opencode-ai/ai/providers"
 
 const model = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
 
@@ -29,123 +29,13 @@ await Effect.runPromise(program.pipe(Effect.provide(llmLayer)))
 
 Run `LLMClient.stream(request)` instead of `generate` when you want incremental `LLMEvent`s. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses, Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.
 
-## MiniMax
-
-MiniMax defaults to its Messages API and reads `MINIMAX_API_KEY` when `apiKey` is omitted:
-
-```ts
-import { Effect, Layer } from "effect"
-import { LLM, LLMClient } from "@opencode/ai"
-import { MiniMax } from "@opencode/ai/providers"
-import { RequestExecutor } from "@opencode/ai/route"
-
-const minimax = MiniMax.configure({ apiKey: process.env.MINIMAX_API_KEY })
-const request = LLM.request({
-  model: minimax.model("MiniMax-M3"), // also minimax.messages("MiniMax-M3")
-  prompt: "What is 173 multiplied by 219?",
-  providerOptions: { thinking: { type: "adaptive" } },
-  generation: { maxTokens: 1536 },
-})
-
-const layer = LLMClient.layer.pipe(Layer.provide(RequestExecutor.fetchLayer))
-const response = await Effect.runPromise(LLMClient.generate(request).pipe(Effect.provide(layer)))
-console.log(response.text)
-```
-
-Select `minimax.chat("MiniMax-M3")` or `minimax.responses("MiniMax-M3")` for MiniMax's native Chat Completions
-and Responses APIs. The matching package entrypoints are `@opencode/ai/providers/minimax/messages`,
-`@opencode/ai/providers/minimax/chat`, and `@opencode/ai/providers/minimax/responses`.
-
-- **Messages:** M3 thinking defaults off. Set `thinking: { type: "adaptive" }` to enable it or
-  `thinking: { type: "disabled" }` to disable it.
-- **Chat:** M3 thinking defaults on and uses the same `thinking` control. The provider enables `reasoning_split`
-  by default so reasoning is separate from answer text; `reasoningSplit: false` selects native `<think>`-tagged text.
-- **Responses:** M3 reasoning defaults off. `reasoningEffort: "none"` disables it; `"minimal"`, `"low"`,
-  `"medium"`, and `"high"` enable reasoning without changing its depth.
-
-M2.x models always think, even when a disabling option is supplied. For tool continuations, retain the complete
-`response.message` in history before adding `Message.tool(...)` results; this preserves reasoning and any signatures.
-
-The default API bases are `https://api.minimax.io/anthropic/v1` for Messages and `https://api.minimax.io/v1` for
-Chat and Responses. `configure({ baseURL })` replaces the selected API's base, including its version prefix.
-
-## Meta
-
-Use Meta's direct [Model API](https://dev.meta.ai/docs/overview) with `META_API_KEY`:
-
-```ts
-import { Meta } from "@opencode/ai/providers"
-
-const meta = Meta.configure() // or Meta.configure({ apiKey })
-const request = LLM.request({
-  model: meta.responses("muse-spark-1.3"), // meta.model(...) also selects Responses
-  prompt: "What is 173 multiplied by 219? Reply with the integer.",
-  providerOptions: { reasoningEffort: "low" },
-  generation: { maxTokens: 1024 },
-})
-```
-
-`meta.chat("muse-spark-1.3")` selects Chat Completions; `meta.messages("muse-spark-1.3")` selects
-the Anthropic-compatible Messages API. All use `https://api.meta.ai/v1`. The package entrypoints
-`@opencode/ai/providers/meta/responses`, `meta/chat`, and `meta/messages` expose `model(modelID, settings)`.
-
-[Muse Spark](https://dev.meta.ai/docs/models) supports `minimal`, `low`, `medium`, `high`, and
-`xhigh` reasoning effort; standard-tier 1.3 also supports `max`. Omitting effort uses the model's
-default. Muse Spark always reasons and rejects `none`. The output-token budget includes private reasoning.
-
-Responses defaults to `store: false` and `include: ["reasoning.encrypted_content"]`. Preserve
-`response.message` along with matching `Message.tool(...)` results in subsequent requests to replay
-reasoning through tool loops. Optional `reasoningSummary: "auto"` requests a readable summary.
-For server-managed history, override `store: true, include: []` and send the response ID through
-`http: { body: { previous_response_id: responseID } }` with only the new input.
-Chat Completions redacts private reasoning and cannot carry it between calls.
-Responses and Chat support only `toolChoice: "auto"` (the default). Messages also accepts `"none"`;
-its documented forced `"any"` choice currently returns HTTP 400. Messages defaults to adaptive thinking
-with `display: "omitted"`, preserving encrypted `redacted_thinking` in `response.message`. Use
-`providerOptions: { effort: "low" }` for depth or `thinking: { type: "enabled", budgetTokens: 1024 }`
-for budget compatibility (with `generation.maxTokens > 1024`).
-
-Add `tools: [Meta.webSearch()]` to a Spark Responses or Messages request for hosted web search.
-Responses exposes hosted results and URL citations in text-part `providerMetadata.meta.annotations`.
-To include search result lists, set `include: ["reasoning.encrypted_content", "web_search_call.results"]`.
-Messages exposes hosted search calls; the recorded Messages API stream does not supply structured
-citations or separate result blocks. Retain `response.message` for either API's continuation.
-
-Use `Image.generate` for one-off generation or editing:
-
-```ts
-import { Image, ImageInput } from "@opencode/ai"
-
-const generation = Image.generate({
-  model: meta.image("muse-image-1.0"),
-  prompt: "A flat black square on a white background.",
-  options: { n: 1, reasoningStrength: "low" },
-})
-
-const edit = Image.generate({
-  model: meta.image("muse-image-1.0"),
-  prompt: "Make the square purple.",
-  images: [ImageInput.bytes(imageBytes, "image/webp")],
-  options: { outputFormat: "png", reasoningStrength: "low" },
-})
-```
-
-The default image format is WEBP; `outputFormat` also accepts PNG/JPEG and `responseFormat: "url"`
-returns a signed URL. `size` is an aspect-ratio hint. For conversational images, select
-`meta.responses("muse-image-1.0")` with `tools: [Meta.imageGeneration({ reasoningStrength: "low" })]`.
-Generated images are provider-executed tool results with file content. Retain `response.message` to
-replay the signed image handle on the next request. Muse Image accepts only the `image_generation` tool.
-
-Meta Responses is explicitly HTTP/SSE-only and does not use WebSockets, even when a caller supplies
-`StreamOptions.webSocket`. The public `/v1/responses` endpoint rejects WebSocket upgrades with HTTP 405 (`Allow: POST`).
-
 ## Image generation
 
 Use `Image.generate` with an image model for direct asset generation:
 
 ```ts
-import { Image, ImageInput } from "@opencode/ai"
-import { OpenAI } from "@opencode/ai/providers"
+import { Image, ImageInput } from "@opencode-ai/ai"
+import { OpenAI } from "@opencode-ai/ai/providers"
 
 const program = Effect.gen(function* () {
   const response = yield* Image.generate({
@@ -241,7 +131,7 @@ yield *
 Google's current Gemini image models use the same direct API:
 
 ```ts
-import { Google } from "@opencode/ai/providers"
+import { Google } from "@opencode-ai/ai/providers"
 
 const googleProgram = Effect.gen(function* () {
   const response = yield* Image.generate({
@@ -317,12 +207,12 @@ The hosted result is represented as a provider-executed tool call and tool resul
 
 ## Testing
 
-Use the deterministic test client from `@opencode/ai/testing` to script provider-neutral responses and inspect
+Use the deterministic test client from `@opencode-ai/ai/testing` to script provider-neutral responses and inspect
 the requests sent by code under test:
 
 ```ts
 import { Effect } from "effect"
-import { TestLLM } from "@opencode/ai/testing"
+import { TestLLM } from "@opencode-ai/ai/testing"
 
 const programWithTestClient = Effect.gen(function* () {
   const test = yield* TestLLM.Test
@@ -365,7 +255,7 @@ over the same implementation, including the legacy live `requests` array. New te
 
 ## Provider compaction
 
-Compaction is opt-in. The package supports automatic compaction in OpenAI/Azure Responses and Anthropic Messages (including Claude on Vertex), and explicit compaction calls in OpenAI/Azure/xAI Responses. Model and deployment support still depends on the provider.
+Compaction is opt-in. The package supports automatic compaction in OpenAI/Azure Responses and Anthropic Messages (including Claude on Vertex), and explicit compaction calls in OpenAI/Azure/xAI Responses. Model and deployment support still depends on the provider. Bedrock compaction is deferred to a separate follow-up.
 
 This is different from prompt caching, server-side history storage, or truncation. Compaction returns provider-owned context that must be replayed to continue the conversation.
 
@@ -408,7 +298,7 @@ result.responseID
 result.usage
 ```
 
-This appends a native `compaction_trigger` control item to the full input and sends a normal Responses request, with tools and instructions retained, `stream: true`, `store: false`, and parallel tool calls enabled. It removes normal-answer text/output-format controls, forced tool choices, output-token/tool-call limits, and automatic `context_management`. Body overlays cannot replace `input` or supply `previous_response_id`/`conversation`; the complete canonical history is required for safe stateless replay. Request metadata, auth, headers, query parameters, service tier, and supported prompt-cache settings are preserved.
+This appends a native `compaction_trigger` control item to the full input and sends a normal Responses request. It follows the [Codex V2 request shape](https://github.com/openai/codex/blob/728cb12/codex-rs/core/src/compact_remote_v2_attempt.rs), with tools and instructions retained, `stream: true`, `store: false`, and parallel tool calls enabled. It removes normal-answer text/output-format controls, forced tool choices, output-token/tool-call limits, and automatic `context_management`. Body overlays cannot replace `input` or supply `previous_response_id`/`conversation`; the complete canonical history is required for safe stateless replay. Session/cache identifiers, auth, headers, query parameters, service tier, and supported prompt-cache settings are preserved.
 
 Only a successful `response.completed` with a response ID and exactly one logical encrypted checkpoint succeeds. Repeated item events are correlated by ID/output slot, including ID-less checkpoints. Other output is ignored, not returned as assistant text or dispatched as tools. Failed, incomplete, malformed, and interrupted responses return errors rather than partial checkpoints.
 
@@ -433,8 +323,8 @@ This capability describes protocol implementation, **not universal availability
 Inside an `Effect.gen`, enable OpenAI compaction with typed provider options:
 
 ```ts
-import { LLM, LLMClient, LLMRequest, Message } from "@opencode/ai"
-import { OpenAI } from "@opencode/ai/providers"
+import { LLM, LLMClient, LLMRequest, Message } from "@opencode-ai/ai"
+import { OpenAI } from "@opencode-ai/ai/providers"
 
 const request = LLM.request({
   model: OpenAI.configure({ apiKey }).responses("gpt-5.3-codex"),
@@ -454,7 +344,7 @@ const next = LLMRequest.update(request, {
 A compaction part has `provider` and exactly one representation: `encrypted` for Responses, or `text` for Anthropic. Responses also preserves the optional checkpoint `id`. These fields survive message serialization without becoming visible assistant text. Sending a checkpoint to another provider or an incompatible API fails rather than silently losing context.
 
 ```ts
-import { CompactionPart, ProviderID } from "@opencode/ai"
+import { CompactionPart, ProviderID } from "@opencode-ai/ai"
 
 CompactionPart.make({ provider: ProviderID.make("openai"), id: "cmp_123", encrypted: "..." })
 CompactionPart.make({ provider: ProviderID.make("anthropic"), text: "Summary of the conversation..." })
@@ -482,7 +372,9 @@ providerOptions: {
 - Anthropic can return a compaction block with `content: null` when summarization fails. This becomes a compaction part with `text: null`, which is **not** a successful replacement for prior history. The package never prunes history automatically.
 - `Usage` totals include all reported Anthropic `usage.iterations`, including compaction. `contextTokens` separately reports the final message iteration's inclusive input size, when available. A compaction-only pause does not report a post-compaction context size. Raw iteration usage remains in `providerMetadata`.
 
-### Recording tests
+### Ownership and verification
+
+The AI package transports options and typed conversation parts. It does not schedule compaction, persist Session checkpoints, select history, switch providers, or replace Core's existing local compaction policy. Native compaction is not enabled for OpenCode Sessions by this feature; Session integration must persist these parts before enabling it. The AI SDK bridge rejects native compaction parts rather than dropping them. Provider-executed tool APIs and persistence changes are a separate follow-up.
 
 Tests cover serialized round trips, real local HTTP plus a tool loop, WebSocket recovery, provider errors, malformed blocks, and usage accounting. Live provider tests are gated by `RECORD=true` and the relevant API keys:
 
@@ -501,7 +393,7 @@ Prompt caching is **on by default**. Every `LLMRequest` resolves to `cache: "aut
 
 ### Auto placement
 
-`"auto"` places up to four breakpoints — the last tool definition, the first system part, the last system part when distinct, and the final message boundary. These expose successively larger reusable prefixes for tool definitions, system instructions, and the active conversation. The rolling final-message boundary advances on every request so recent conversation prefixes remain reusable during tool loops.
+`"auto"` places up to four breakpoints — the last tool definition, the first system part, the last system part when distinct, and the final message boundary. These expose successively larger reusable prefixes for tools, the base agent, project instructions, and the active conversation. The rolling final-message boundary advances on every request so recent conversation prefixes remain reusable during tool loops.
 
 Tools precede every system and conversation block in the provider prefix, so tool definitions must remain byte-stable and deterministically ordered for downstream breakpoints to remain reusable.
 
@@ -560,7 +452,7 @@ Normalized cache usage is read back into `response.usage.cacheReadInputTokens` a
 Provider facades configure endpoint/auth/deployment details first, then expose model selectors that take only a model or deployment id. The selected model carries the executable route value used at runtime.
 
 ```ts
-import { OpenAI, CloudflareAIGateway } from "@opencode/ai/providers"
+import { OpenAI, CloudflareAIGateway } from "@opencode-ai/ai/providers"
 
 const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
 const gateway = CloudflareAIGateway.configure({
@@ -569,42 +461,31 @@ const gateway = CloudflareAIGateway.configure({
 }).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 ```
 
-Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
+Included providers: OpenAI, Anthropic, Google (Gemini), Google Vertex Gemini and Anthropic, Amazon Bedrock, Azure OpenAI, Cloudflare AI Gateway, Cloudflare Workers AI, GitHub Copilot, OpenRouter, xAI, Z.ai, plus generic OpenAI-compatible Chat and Responses entrypoints and an Anthropic Messages-compatible entrypoint.
 
-Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:
+### Package-like entrypoints
+
+Native catalog integrations load provider behavior through package-like entrypoints. These are export paths from the same `@opencode-ai/ai` npm package, not independently published packages. Each entrypoint exports the same `model(modelID, settings)` contract, and `settings` contains serializable provider configuration plus common `headers` and `body` overlays.
 
 ```ts
-import { DeepSeek, Fireworks } from "@opencode/ai/providers"
-
-const deepseek = DeepSeek.configure({ apiKey }).model("deepseek-chat")
-const fireworks = Fireworks.configure({ apiKey }).model("accounts/fireworks/models/my-model")
-```
-
-The former `OpenAICompatible.baseten`, `.cerebras`, `.deepinfra`, `.deepseek`, `.fireworks`, `.groq`, and `.togetherai` presets are replaced by the top-level `Baseten`, `Cerebras`, `DeepInfra`, `DeepSeek`, `Fireworks`, `Groq`, and `TogetherAI` exports. Use `CloudflareAIGateway` and `CloudflareWorkersAI` directly; each has its own module. `OpenAICompatible` configures generic endpoints with an explicit `baseURL`.
-
-### Provider entrypoints
-
-Provider modules are available through dedicated exports from `@opencode/ai`. Each LLM entrypoint exports `model(modelID, settings)`, where `settings` contains provider configuration plus common `headers` and `body` overlays.
-
-```ts
-import { model } from "@opencode/ai/providers/openai/responses"
+import { model } from "@opencode-ai/ai/providers/openai/responses"
 
 const selected = model("gpt-5", {
   apiKey: process.env.OPENAI_API_KEY,
-  headers: { "x-application": "example" },
+  headers: { "x-application": "opencode" },
 })
 ```
 
-APIs have separate entrypoints:
+OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
 
-- `@opencode/ai/providers/openai/chat`
-- `@opencode/ai/providers/openai/responses`
-- `@opencode/ai/providers/openai-compatible/responses`
-- `@opencode/ai/providers/anthropic-compatible`
-- `@opencode/ai/providers/google-vertex/gemini`
-- `@opencode/ai/providers/google-vertex/chat`
-- `@opencode/ai/providers/google-vertex/responses`
-- `@opencode/ai/providers/google-vertex/messages`
+- `@opencode-ai/ai/providers/openai/chat`
+- `@opencode-ai/ai/providers/openai/responses`
+- `@opencode-ai/ai/providers/openai-compatible/responses`
+- `@opencode-ai/ai/providers/anthropic-compatible`
+- `@opencode-ai/ai/providers/google-vertex/gemini`
+- `@opencode-ai/ai/providers/google-vertex/chat`
+- `@opencode-ai/ai/providers/google-vertex/responses`
+- `@opencode-ai/ai/providers/google-vertex/messages`
 
 OpenAI Responses has one semantic route and uses HTTP by default. Advanced callers may supply a per-call WebSocket channel executor through `StreamOptions`; transport policy does not change provider settings, model identity, or route identity. The provider-neutral Open Responses implementation owns the reusable WebSocket request and event contract, while each provider opts in with its own handshake and connection policy. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; the Responses adapter at `providers/openai-compatible/responses` uses the provider-neutral Open Responses protocol. OpenAI Responses extends that baseline with OpenAI tools, event variants, metadata, and defaults. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
 
@@ -613,36 +494,32 @@ Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages are separate A
 Tuned Vertex Gemini deployments use model ids shaped like `endpoints/1234567890` and require OAuth or ADC; Vertex express-mode API keys support publisher models only.
 
 ```ts
-import { model } from "@opencode/ai/providers/google-vertex/gemini"
+import { model } from "@opencode-ai/ai/providers/google-vertex/gemini"
 
 model("gemini-3.5-flash", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode/ai/providers/google-vertex/chat"
+import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
 
 model("deepseek-ai/deepseek-v3.2-maas", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode/ai/providers/google-vertex/responses"
+import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
 
 model("xai/grok-4.20-reasoning", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode/ai/providers/google-vertex/messages"
+import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
 
 model("claude-sonnet-4-6", { project: "my-project", location: "global" })
 ```
 
-Additional provider entrypoints include:
+Provider facades such as `OpenAI.configure(...).responses(...)` remain the direct application API. Package-like entrypoints are the self-similar loading contract used when a catalog selects behavior by export path.
 
-- `@opencode/ai/providers/baseten`
-- `@opencode/ai/providers/deepseek`
-- `@opencode/ai/providers/fireworks`
-- `@opencode/ai/providers/cloudflare-ai-gateway`
-- `@opencode/ai/providers/cloudflare-workers-ai`
+Other provider exports listed above remain direct facades until they explicitly implement the package-like contract. Exporting a provider facade does not implicitly make it a catalog-loadable provider package.
 
 ## Provider options & HTTP overlays
 
@@ -669,7 +546,7 @@ LLM.request({
 
 ## Routes
 
-Compose a route with `Route.make({ protocol, endpoint, auth, framing, ... })`. The route owns endpoint/auth/framing and the protocol owns body construction plus stream parsing. Transports receive the route's endpoint and auth when preparing requests. Unsupported request shapes fail during protocol lowering.
+Adding a new model or deployment is usually 5-15 lines using `Route.make({ protocol, endpoint, auth, framing, ... })`. The route owns endpoint/auth/framing and the protocol owns body construction plus stream parsing. Transports are reusable IO templates that receive route endpoint/auth at compile time. Capability/catalog metadata lives outside this low-level package; unsupported request shapes fail during protocol lowering. See `AGENTS.md` for the architectural detail.
 
 ## Effect
 

packages/ai/example/tutorial.ts

@@ -1,7 +1,7 @@
 import { Config, Effect, Formatter, Layer, Schema, Stream } from "effect"
-import { LLM, LLMClient, LLMRequest, Message, ProviderID, Tool, ToolRuntime } from "@opencode/ai"
-import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor } from "@opencode/ai/route"
-import { OpenAI } from "@opencode/ai/providers"
+import { LLM, LLMClient, LLMRequest, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/ai"
+import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor } from "@opencode-ai/ai/route"
+import { OpenAI } from "@opencode-ai/ai/providers"
 
 /**
  * A runnable walkthrough of the LLM package use-site API.

packages/ai/package.json

@@ -1,7 +1,7 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
   "version": "1.17.20",
-  "name": "@opencode/ai",
+  "name": "@opencode-ai/ai",
   "type": "module",
   "license": "MIT",
   "scripts": {
@@ -21,17 +21,16 @@
   "devDependencies": {
     "@clack/prompts": "1.0.0-alpha.1",
     "@effect/platform-node": "catalog:",
-    "@opencode/http-recorder": "workspace:*",
+    "@opencode-ai/http-recorder": "workspace:*",
     "@tsconfig/bun": "catalog:",
     "@types/bun": "catalog:",
     "@typescript/native-preview": "catalog:",
     "typescript": "catalog:"
   },
   "dependencies": {
-    "@aws-sdk/credential-providers": "3.1057.0",
     "@smithy/eventstream-codec": "4.2.14",
     "@smithy/util-utf8": "4.2.2",
-    "@opencode/schema": "workspace:*",
+    "@opencode-ai/schema": "workspace:*",
     "aws4fetch": "1.0.20",
     "effect": "catalog:",
     "google-auth-library": "10.5.0"

packages/ai/script/publish.ts

@@ -1,5 +1,5 @@
 #!/usr/bin/env bun
-import { Script } from "@opencode/script"
+import { Script } from "@opencode-ai/script"
 import { $ } from "bun"
 import { fileURLToPath } from "url"
 

packages/ai/script/setup-recording-env.ts

@@ -7,8 +7,7 @@ import { AwsV4Signer } from "aws4fetch"
 import { Config, ConfigProvider, Effect, FileSystem, PlatformError, Redacted } from "effect"
 import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/unstable/http"
 import * as ProviderShared from "../src/protocols/shared"
-import { CloudflareAIGateway } from "../src/providers/cloudflare-ai-gateway.js"
-import { CloudflareWorkersAI } from "../src/providers/cloudflare-workers-ai.js"
+import * as Cloudflare from "../src/providers/cloudflare"
 
 type Provider = {
   readonly id: string
@@ -121,11 +120,11 @@ const PROVIDERS: ReadonlyArray<Provider> = [
     ],
     validate: (env) =>
       validateChat({
-        url: `${CloudflareAIGateway.baseURL({
+        url: `${Cloudflare.aiGatewayBaseURL({
           accountId: env.CLOUDFLARE_ACCOUNT_ID,
           gatewayId: env.CLOUDFLARE_GATEWAY_ID || undefined,
         })}/chat/completions`,
-        token: Redacted.make(envValue(env, CloudflareAIGateway.authEnvVars)),
+        token: Redacted.make(envValue(env, Cloudflare.aiGatewayAuthEnvVars)),
         tokenHeader: "cf-aig-authorization",
         model: "workers-ai/@cf/meta/llama-3.1-8b-instruct",
       }),
@@ -141,8 +140,8 @@ const PROVIDERS: ReadonlyArray<Provider> = [
     ],
     validate: (env) =>
       validateChat({
-        url: `${CloudflareWorkersAI.baseURL({ accountId: env.CLOUDFLARE_ACCOUNT_ID })}/chat/completions`,
-        token: Redacted.make(envValue(env, CloudflareWorkersAI.authEnvVars)),
+        url: `${Cloudflare.workersAIBaseURL({ accountId: env.CLOUDFLARE_ACCOUNT_ID })}/chat/completions`,
+        token: Redacted.make(envValue(env, Cloudflare.workersAIAuthEnvVars)),
         model: "@cf/meta/llama-3.1-8b-instruct",
       }),
   },

packages/ai/src/protocols/anthropic-messages.ts

@@ -1,6 +1,6 @@
 import { Buffer } from "node:buffer"
 import { Effect, Option, Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"

packages/ai/src/protocols/bedrock-converse.ts

@@ -415,7 +415,10 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
 
 // System prompts share the cache-point convention: emit the text block, then
 // optionally a positional `cachePoint` marker.
-const lowerSystem = (breakpoints: BedrockCache.Breakpoints, system: ReadonlyArray<LLMRequest["system"][number]>) => {
+const lowerSystem = (
+  breakpoints: BedrockCache.Breakpoints,
+  system: ReadonlyArray<LLMRequest["system"][number]>,
+) => {
   const content = system
     .filter((part) => part.text.length > 0)
     .flatMap((part) => textWithCache(breakpoints, part.text, part.cache))
@@ -428,7 +431,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
   const generation = request.generation
   // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in
   // tools → system → messages order to favour the highest-impact prefixes.
-  const breakpoints = BedrockCache.breakpoints(request.model.id)
+  const breakpoints = BedrockCache.breakpoints()
   const toolConfig = (() => {
     if (flattened.tools.length === 0) return undefined
     return {

packages/ai/src/protocols/gemini.ts

@@ -1,5 +1,5 @@
 import { Effect, Option, Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
@@ -639,14 +639,6 @@ const step = (state: ParserState, event: GeminiEvent) => {
       : state.usage,
   }
   const candidate = event.candidates?.[0]
-  if (candidate?.finishReason && mapFinishReason(candidate.finishReason, state.hasToolCalls) === "error")
-    return Effect.fail(
-      ProviderShared.eventError(
-        state.route,
-        `Gemini stopped with ${candidate.finishReason}`,
-        ProviderShared.encodeJson(event),
-      ),
-    )
   if (!candidate?.content)
     return Effect.succeed([
       { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },

packages/ai/src/protocols/meta-images.ts

@@ -1,133 +0,0 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from "../image.js"
-import { Auth } from "../route/auth.js"
-import { Usage, mergeHttpOptions, mergeJsonRecords, type HttpOptions } from "../schema/index.js"
-import { JsonObject, ProviderShared, optionalNull } from "./shared.js"
-import { ImageInputs } from "./utils/image-input.js"
-
-type OpenString<Known extends string> = Known | (string & {})
-export type ImageOptions = {
-  readonly n?: number
-  /** Aspect ratio hint, not an exact output resolution. */
-  readonly size?: string
-  readonly outputFormat?: OpenString<"webp" | "png" | "jpeg">
-  readonly responseFormat?: OpenString<"b64_json" | "url">
-  readonly reasoningStrength?: OpenString<"low" | "high">
-  readonly toolEnablement?: {
-    readonly enable_image_search?: boolean
-    readonly enable_web_search?: boolean
-    readonly enable_shell?: boolean
-  }
-  readonly [key: string]: unknown
-}
-
-const Body = Schema.StructWithRest(
-  Schema.Struct({
-    model: Schema.String,
-    prompt: Schema.String,
-    images: Schema.optional(Schema.Array(JsonObject)),
-    n: Schema.optional(Schema.Number),
-    size: Schema.optional(Schema.String),
-    output_format: Schema.optional(Schema.String),
-    response_format: Schema.optional(Schema.String),
-    reasoning_strength: Schema.optional(Schema.String),
-    tool_enablement: Schema.optional(Schema.Record(Schema.String, Schema.Boolean)),
-  }),
-  [JsonObject],
-)
-
-const Response = Schema.Struct({
-  data: Schema.Array(Schema.Struct({ b64_json: optionalNull(Schema.String), url: optionalNull(Schema.String) })),
-  output_format: Schema.optional(Schema.String),
-  usage: Schema.optional(
-    Schema.Struct({
-      input_tokens: Schema.optional(Schema.Number),
-      output_tokens: Schema.optional(Schema.Number),
-      total_tokens: Schema.optional(Schema.Number),
-    }),
-  ),
-})
-
-export const model = (input: {
-  readonly id: string
-  readonly auth: Auth.Definition
-  readonly baseURL: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions
-}) => {
-  const route: ImageRoute<ImageOptions> = {
-    id: "meta-images",
-    generate: Effect.fn("MetaImages.generate")(function* (request: ImageRequestFor<ImageOptions>, execute) {
-      const http = mergeHttpOptions(request.model.http, request.http)
-      const images = yield* Effect.forEach(request.images ?? [], (image) => {
-        if (image.type === "bytes") return Effect.succeed({ image_url: ImageInputs.dataUrl(image) })
-        if (image.type === "url") return Effect.succeed({ image_url: image.url })
-        return ImageInputs.invalid("Meta Images accepts image bytes and URLs")
-      })
-      const { outputFormat, responseFormat, reasoningStrength, toolEnablement, ...native } = request.options ?? {}
-      const payload = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))(
-        mergeJsonRecords(
-          {
-            model: request.model.id,
-            prompt: request.prompt,
-            images: images.length === 0 ? undefined : images,
-            output_format: outputFormat,
-            response_format: responseFormat,
-            reasoning_strength: reasoningStrength,
-            tool_enablement: toolEnablement,
-          },
-          native,
-          http?.body,
-        ),
-      )
-      const body = ProviderShared.encodeJson(payload)
-      const url = new URL(`${input.baseURL.replace(/\/$/, "")}/images/${images.length === 0 ? "generations" : "edits"}`)
-      Object.entries(http?.query ?? {}).forEach(([key, value]) => url.searchParams.set(key, value))
-      const headers = yield* Auth.toEffect(input.auth)({
-        request,
-        method: "POST",
-        url: url.toString(),
-        body,
-        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),
-      })
-      const response = yield* execute(
-        HttpClientRequest.post(url.toString()).pipe(
-          HttpClientRequest.setHeaders(headers),
-          HttpClientRequest.bodyText(body, "application/json"),
-        ),
-      )
-      const output = yield* ProviderShared.imageResponse("meta-images", "Meta Images", response)
-      const decoded = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Response))(output.body).pipe(
-        Effect.mapError((cause) => output.invalid("Meta Images returned an invalid response", cause)),
-      )
-      const format = decoded.output_format ?? payload.output_format ?? "webp"
-      const generated = yield* Effect.forEach(decoded.data, (item, index) => {
-        if (item.b64_json)
-          return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(
-            Effect.mapError((cause) => output.invalid(`Meta Images result ${index} contains invalid base64`, cause)),
-            Effect.map((data) => new GeneratedImage({ mediaType: `image/${format}`, data })),
-          )
-        if (item.url) return Effect.succeed(new GeneratedImage({ mediaType: `image/${format}`, data: item.url }))
-        return output.invalid(`Meta Images result ${index} has neither image data nor a URL`)
-      })
-      if (generated.length === 0) return yield* output.invalid("Meta Images returned no images")
-      return new ImageResponse({
-        images: generated,
-        usage:
-          decoded.usage === undefined
-            ? undefined
-            : new Usage({
-                inputTokens: decoded.usage.input_tokens,
-                outputTokens: decoded.usage.output_tokens,
-                totalTokens: decoded.usage.total_tokens,
-                providerMetadata: { meta: decoded.usage },
-              }),
-        providerMetadata: { meta: { outputFormat: format } },
-      })
-    }),
-  }
-  return ImageModel.make<ImageOptions>({ id: input.id, provider: "meta", route, http: input.http })
-}
-
-export * as MetaImages from "./meta-images.js"

packages/ai/src/protocols/meta-messages.ts

@@ -1,52 +0,0 @@
-import { Effect, Schema } from "effect"
-import { Protocol } from "../route/protocol.js"
-import type { LLMRequest } from "../schema/index.js"
-import { AnthropicMessages } from "./anthropic-messages.js"
-import { MetaResponses } from "./meta-responses.js"
-import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
-
-const WebSearch = Schema.Struct({
-  type: Schema.Literal("web_search"),
-  name: Schema.Literal("web_search"),
-  user_location: MetaResponses.WebSearch.fields.user_location,
-})
-const Body = Schema.Struct({
-  ...AnthropicMessages.AnthropicMessagesBody.fields,
-  tools: optionalArray(
-    Schema.Union([
-      Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
-      WebSearch,
-    ]),
-  ),
-})
-
-const fromRequest = Effect.fn("MetaMessages.fromRequest")(function* (request: LLMRequest) {
-  const projected = ProviderShared.flattenToolRequest(request)
-  const body = yield* AnthropicMessages.protocol.body.from(projected.request)
-  return {
-    ...body,
-    tools:
-      body.tools === undefined
-        ? undefined
-        : yield* Effect.forEach(body.tools, (tool, index) =>
-            Effect.gen(function* () {
-              const native = projected.tools[index]?.native
-              if (native === undefined) return tool
-              const search = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(MetaResponses.WebSearch))(
-                native.meta,
-              )
-              if (search.search_context_size !== undefined)
-                return yield* ProviderShared.invalidRequest("Meta Messages does not support searchContextSize")
-              return { type: "web_search" as const, name: "web_search" as const, user_location: search.user_location }
-            }),
-          ),
-  }
-})
-
-export const protocol = Protocol.make({
-  id: "meta-messages",
-  body: { schema: Body, from: fromRequest },
-  stream: AnthropicMessages.protocol.stream,
-})
-
-export * as MetaMessages from "./meta-messages.js"

packages/ai/src/protocols/meta-responses.ts

@@ -1,238 +0,0 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Protocol } from "../route/protocol.js"
-import { HttpTransport } from "../route/transport/index.js"
-import { LLMEvent, LLMRequest, Message, ToolResultPart } from "../schema/index.js"
-import { OpenResponses } from "./open-responses.js"
-import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"
-import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js"
-import { ToolSchemaProjection } from "./utils/tool-schema.js"
-import { MetaImage } from "./utils/meta-image.js"
-
-const ADAPTER = "meta-responses"
-const NAME = "Meta Responses"
-
-export const WebSearch = Schema.Struct({
-  type: Schema.Literal("web_search"),
-  search_context_size: Schema.optional(Schema.String),
-  user_location: Schema.optional(
-    Schema.Struct({
-      type: Schema.Literal("approximate"),
-      city: Schema.optional(Schema.String),
-      region: Schema.optional(Schema.String),
-      country: Schema.optional(Schema.String),
-      timezone: Schema.optional(Schema.String),
-    }),
-  ),
-})
-
-export const ImageGeneration = Schema.Struct({
-  type: Schema.Literal("image_generation"),
-  size: Schema.optional(Schema.String),
-  output_format: Schema.optional(Schema.String),
-  reasoning_strength: Schema.optional(Schema.String),
-  enable_image_search: Schema.optional(Schema.Boolean),
-  enable_web_search: Schema.optional(Schema.Boolean),
-  enable_shell: Schema.optional(Schema.Boolean),
-})
-
-const NativeTool = Schema.Union([WebSearch, ImageGeneration])
-const ImageItem = Schema.Struct({
-  type: Schema.Literal("image_generation_call"),
-  id: Schema.String,
-  status: Schema.optional(Schema.String),
-  result: optionalNull(Schema.String),
-  output_format: Schema.optional(Schema.String),
-  error: Schema.optional(Schema.Unknown),
-})
-
-const Body = Schema.Struct({
-  ...OpenResponses.coreFields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, ImageItem])),
-  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
-  stream: Schema.Literal(true),
-})
-
-const MessageAnnotations = Schema.Struct({
-  content: Schema.Array(Schema.Struct({ annotations: optionalArray(JsonObject) })),
-})
-
-interface ParserState extends OpenResponses.ParserState {
-  readonly completedItems: ReadonlySet<string>
-}
-
-const adapter = {
-  id: ADAPTER,
-  name: NAME,
-  restoreHostedToolItem: (item: unknown) => (Schema.is(ImageItem)(item) ? item : undefined),
-} satisfies OpenResponses.ProviderAdapter
-
-const fromRequest = Effect.fn("MetaResponses.fromRequest")(function* (request: LLMRequest) {
-  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  const projected = ProviderShared.flattenToolRequest(
-    LLMRequest.update(request, {
-      messages: request.messages.map((message) =>
-        Message.make({
-          ...message,
-          content: message.content.map((part) => {
-            if (
-              part.type !== "tool-result" ||
-              !part.providerExecuted ||
-              part.name !== "image_generation" ||
-              part.result.type !== "content" ||
-              part.providerMetadata?.[key]?.itemId !== part.id
-            )
-              return part
-            // Meta's signed image ID carries edit state; replay the handle, not the image bytes as a user message.
-            return ToolResultPart.make({
-              ...part,
-              result: {
-                type: "json",
-                value: { type: "image_generation_call", id: part.id, status: "completed", result: null },
-              },
-            })
-          }),
-        }),
-      ),
-    }),
-  )
-  return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
-    ...(yield* OpenResponses.lowerConversation(projected.request, adapter)),
-    ...OpenResponses.lowerGeneration(request),
-    tools:
-      projected.tools.length === 0
-        ? undefined
-        : yield* Effect.forEach(projected.tools, (tool) =>
-            Effect.gen(function* () {
-              if (tool.native === undefined)
-                return yield* OpenResponses.lowerTool(
-                  NAME,
-                  tool,
-                  ToolSchemaProjection.modelCompatibility(tool.inputSchema, request.model.compatibility?.toolSchema),
-                )
-              return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(NativeTool))(tool.native.meta)
-            }),
-          ),
-    tool_choice:
-      OpenResponses.allowedToolChoice(request) ??
-      (request.toolChoice ? yield* OpenResponses.lowerToolChoice(NAME, request.toolChoice) : undefined),
-  })
-})
-
-const HOSTED_TOOLS = {
-  web_search_call: { name: "web_search", input: (item) => item.action ?? {} },
-  image_generation_call: {
-    name: "image_generation",
-    input: () => ({}),
-    result: Effect.fn("MetaResponses.imageResult")(function* (raw: ResponsesHostedTools.Item) {
-      const item = yield* Schema.decodeUnknownEffect(ImageItem)(raw).pipe(
-        Effect.mapError((cause) =>
-          ProviderShared.eventError(
-            ADAPTER,
-            "Meta returned an invalid image item",
-            ProviderShared.encodeJson(raw),
-            cause,
-          ),
-        ),
-      )
-      if (item.error !== undefined && item.error !== null) return { type: "error" as const, value: item.error }
-      if (!item.result)
-        return yield* ProviderShared.eventError(
-          ADAPTER,
-          "Meta returned an image without data",
-          ProviderShared.encodeJson(raw),
-        )
-      const data = yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
-        Effect.mapError((cause) =>
-          ProviderShared.eventError(
-            ADAPTER,
-            "Meta returned invalid image base64",
-            ProviderShared.encodeJson(raw),
-            cause,
-          ),
-        ),
-      )
-      const mime = MetaImage.mediaType(data, item.output_format)
-      return {
-        type: "content" as const,
-        value: [{ type: "file" as const, uri: `data:${mime};base64,${item.result}`, mime }],
-      }
-    }),
-  },
-} satisfies ResponsesHostedTools.Definitions
-
-const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
-  state: OpenResponses.ParserState,
-  input: OpenResponses.Event,
-) {
-  const event = OpenResponses.normalize(state, input)
-  if (event.type === "response.output_item.done" && event.item && ResponsesHostedTools.isItem(event.item, HOSTED_TOOLS))
-    return yield* ResponsesHostedTools.onDone(state, event.item, HOSTED_TOOLS)
-  const result = yield* OpenResponses.step(state, event)
-  if (event.type !== "response.output_item.done" || event.item?.type !== "message") return result
-  const message = yield* Schema.decodeUnknownEffect(MessageAnnotations)(event.item).pipe(
-    Effect.mapError((cause) =>
-      ProviderShared.eventError(
-        ADAPTER,
-        "Meta returned invalid message annotations",
-        ProviderShared.encodeJson(event),
-        cause,
-      ),
-    ),
-  )
-  const annotations = message.content.flatMap((part) => part.annotations ?? [])
-  if (annotations.length === 0) return result
-  return [
-    result[0],
-    result[1].map((item) =>
-      LLMEvent.is.textEnd(item)
-        ? LLMEvent.textEnd({
-            ...item,
-            providerMetadata: {
-              ...item.providerMetadata,
-              [state.providerMetadataKey]: { ...item.providerMetadata?.[state.providerMetadataKey], annotations },
-            },
-          })
-        : item,
-    ),
-  ] satisfies OpenResponses.StepResult
-})
-
-const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, input: OpenResponses.Event) {
-  const completedItems = new Set(state.completedItems)
-  const event = OpenResponses.normalize(state, input)
-  if (event.type === "response.output_item.done" && event.item && completedItems.has(event.item.id))
-    return [state, []] as const
-  const events: LLMEvent[] = []
-  let current: OpenResponses.ParserState = state
-  // Muse Image delivers its image and optional summary only in response.completed.
-  // Recover terminal-only items in order, without duplicating Spark's streamed items.
-  if (event.type === "response.completed") {
-    for (const [index, item] of (event.response?.output ?? []).entries()) {
-      const done = OpenResponses.normalize(current, { type: "response.output_item.done", item, output_index: index })
-      // Spark changes reasoning IDs in the terminal snapshot; output indices still identify the streamed items.
-      if (!done.item || completedItems.has(done.item.id) || completedItems.has(state.outputItems[index] ?? "")) continue
-      const result = yield* onEvent(current, done)
-      current = result[0]
-      events.push(...result[1])
-      completedItems.add(done.item.id)
-    }
-  }
-  const result = yield* onEvent(current, event)
-  if (event.type === "response.output_item.done" && event.item) completedItems.add(event.item.id)
-  return [{ ...result[0], completedItems }, [...events, ...result[1]]] as const
-})
-
-export const protocol = Protocol.make({
-  id: ADAPTER,
-  body: { schema: Body, from: fromRequest },
-  stream: {
-    event: OpenResponses.protocol.stream.event,
-    initial: (request): ParserState => ({ ...OpenResponses.initial(request, adapter), completedItems: new Set() }),
-    step,
-    terminal: OpenResponses.terminal,
-  },
-})
-
-export const httpTransport = HttpTransport.sseJson.with<Schema.Schema.Type<typeof Body>>()
-
-export * as MetaResponses from "./meta-responses.js"

packages/ai/src/protocols/mistral-chat.ts

@@ -9,8 +9,6 @@ import {
   AIError,
   InvalidProviderOutputError,
   LLMEvent,
-  ProviderInternalError,
-  UnknownProviderError,
   Usage,
   type FinishReasonDetails,
   type LLMRequest,
@@ -702,16 +700,6 @@ const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event:
     normalized: mapFinishReason(choice.finish_reason),
     raw: choice.finish_reason,
   }
-  if (finishReason.normalized === "error") {
-    const details = {
-      message: `Mistral Chat stopped with ${finishReason.raw}`,
-      body: ProviderShared.encodeJson(event),
-    }
-    return yield* new AIError({
-      reason:
-        finishReason.raw === "network_error" ? new ProviderInternalError(details) : new UnknownProviderError(details),
-    })
-  }
   const incomplete = finishReason.normalized === "length" || finishReason.normalized === "content-filter"
   if (!incomplete && Object.keys(withTools.pendingTools).length > 0)
     return yield* ProviderShared.eventError(

packages/ai/src/protocols/open-responses.ts

@@ -1,5 +1,5 @@
 import { Effect, Option, Schema } from "effect"
-import type { Content } from "@opencode/schema/tool"
+import type { Content } from "@opencode-ai/schema/tool"
 import { HttpTransport } from "../route/transport/index.js"
 import { Protocol } from "../route/protocol.js"
 import {

packages/ai/src/protocols/openai-chat.ts

@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"

packages/ai/src/protocols/shared.ts

@@ -1,5 +1,5 @@
 import { Buffer } from "node:buffer"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import { Effect, Schema, Stream } from "effect"
 import * as Sse from "effect/unstable/encoding/Sse"
 import { Headers, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"

packages/ai/src/protocols/utils/bedrock-auth.ts

@@ -2,12 +2,13 @@ import { AwsV4Signer } from "aws4fetch"
 import { Effect } from "effect"
 import { Headers } from "effect/unstable/http"
 import { Auth, type AuthInput } from "../../route/auth.js"
-import { AIError, AuthenticationError } from "../../schema/index.js"
 import { ProviderShared } from "../shared.js"
 
 /**
  * AWS credentials for SigV4 signing. Bedrock also supports Bearer API key auth,
- * which provider facades configure as route auth instead of SigV4.
+ * which provider facades configure as route auth instead of SigV4. STS-vended
+ * credentials should be refreshed by the consumer (rebuild the model) before
+ * they expire; the route does not refresh.
  */
 export interface Credentials {
   readonly region: string
@@ -16,44 +17,6 @@ export interface Credentials {
   readonly sessionToken?: string
 }
 
-/** Static credentials or an effect resolved before every request. */
-export type CredentialSource = Credentials | Effect.Effect<Credentials, AIError>
-
-export interface DefaultChainOptions {
-  readonly region: string
-  /** Shared config profile passed to the AWS default chain. */
-  readonly profile?: string
-}
-
-/**
- * Resolve credentials through the AWS default provider chain: environment
- * variables, shared config and SSO caches, web identity tokens, process
- * credentials, and container or instance metadata. A fresh chain runs on every
- * request so credentials rotated on disk without an expiration (for example
- * shared-config keys rewritten by a corporate SSO tool) are always re-read;
- * the SDK's own memoization would otherwise pin them for the process lifetime.
- */
-export const defaultChain = (options: DefaultChainOptions): Effect.Effect<Credentials, AIError> =>
-  Effect.tryPromise({
-    try: async () => {
-      const { fromNodeProviderChain } = await import("@aws-sdk/credential-providers")
-      const identity = await fromNodeProviderChain(options.profile === undefined ? {} : { profile: options.profile })()
-      return {
-        region: options.region,
-        accessKeyId: identity.accessKeyId,
-        secretAccessKey: identity.secretAccessKey,
-        ...(identity.sessionToken === undefined ? {} : { sessionToken: identity.sessionToken }),
-      }
-    },
-    catch: (error) =>
-      new AIError({
-        reason: new AuthenticationError({
-          message: `AWS default credential chain failed: ${ProviderShared.errorText(error)}`,
-          cause: error,
-        }),
-      }),
-  })
-
 const signRequest = (input: {
   readonly url: string
   readonly body: string
@@ -85,17 +48,16 @@ const signRequest = (input: {
 
 /** Sign the exact JSON bytes with SigV4 using credentials configured on the route. */
 export const sigV4 = (
-  source: CredentialSource | undefined,
+  credentials: Credentials | undefined,
   options: { readonly service?: string; readonly name?: string } = {},
 ) =>
   Auth.custom((input: AuthInput) => {
     return Effect.gen(function* () {
-      if (!source) {
+      if (!credentials) {
         return yield* ProviderShared.invalidRequest(
           `${options.name ?? "Bedrock Converse"} requires either route bearer auth or AWS credentials configured on the route`,
         )
       }
-      const credentials = Effect.isEffect(source) ? yield* source : source
       const headersForSigning = Headers.set(input.headers, "content-type", "application/json")
       const signed = yield* signRequest({
         url: input.url,
@@ -112,35 +74,4 @@ export const sigV4 = (
 /** Bedrock route auth defaults to SigV4 and expects credentials from route configuration. */
 export const auth = sigV4(undefined)
 
-export const resolveRegion = (input: {
-  readonly region?: string
-  readonly credentials?: { readonly region: string }
-}) =>
-  input.region ?? input.credentials?.region ?? process.env.AWS_REGION ?? process.env.AWS_DEFAULT_REGION ?? "us-east-1"
-
-export interface ResolveAuthInput {
-  readonly apiKey?: string
-  readonly credentials?: Credentials
-  readonly profile?: string
-}
-
-export interface ResolveAuthOptions {
-  readonly service?: string
-  readonly name?: string
-  /** `sigv4` ignores an ambient `AWS_BEARER_TOKEN_BEDROCK`; `bearer` is validated by the caller. */
-  readonly mode?: "bearer" | "sigv4"
-}
-
-/**
- * Bearer wins over SigV4 and explicit static credentials win over the default
- * chain, matching the AWS SDK's own precedence for `AWS_BEARER_TOKEN_BEDROCK`.
- * The region is applied to the SigV4 scope so it always matches the endpoint host.
- */
-export const resolveAuth = (input: ResolveAuthInput, region: string, options: ResolveAuthOptions = {}) => {
-  const apiKey = options.mode === "sigv4" ? undefined : (input.apiKey ?? process.env.AWS_BEARER_TOKEN_BEDROCK)
-  if (apiKey !== undefined) return Auth.bearer(apiKey)
-  if (input.credentials !== undefined) return sigV4({ ...input.credentials, region }, options)
-  return sigV4(defaultChain({ region, profile: input.profile }), options)
-}
-
 export * as BedrockAuth from "./bedrock-auth.js"

packages/ai/src/protocols/utils/bedrock-cache.ts

@@ -1,6 +1,6 @@
 import { Schema } from "effect"
 import type { CacheHint } from "../../schema/index.js"
-import { newBreakpoints, ttlBucket } from "./cache.js"
+import { newBreakpoints, ttlBucket, type Breakpoints } from "./cache.js"
 
 // Bedrock cache markers are positional: emit a `cachePoint` block immediately
 // after the content the caller wants treated as a cacheable prefix. Bedrock
@@ -13,46 +13,24 @@ export const CachePointBlock = Schema.Struct({
 })
 export type CachePointBlock = Schema.Schema.Type<typeof CachePointBlock>
 
-const LEGACY_CLAUDE = ["anthropic.claude-instant", "anthropic.claude-v1", "anthropic.claude-v2", "anthropic.claude-3-"]
-
-// These legacy Claude releases support explicit caching, but only for five minutes.
-const CLAUDE_5M = [
-  "anthropic.claude-3-5-sonnet-20241022-v2:0",
-  "anthropic.claude-3-5-haiku-20241022-v1:0",
-  "anthropic.claude-3-7-sonnet-20250219-v1:0",
-  "anthropic.claude-sonnet-4-20250514-v1:0",
-  "anthropic.claude-opus-4-20250514-v1:0",
-  "anthropic.claude-opus-4-1-20250805-v1:0",
-]
-
-// Callers share the four-breakpoint budget across system, messages, and tools.
+// Callers pass a shared counter through every `block()` call site so the
+// four-breakpoint budget is respected across `system`, `messages`, and `tools`.
 export const BEDROCK_BREAKPOINT_CAP = 4
 
-export const breakpoints = (modelID: string) => {
-  // Substring matching also handles regional prefixes and model-bearing ARNs.
-  const short = CLAUDE_5M.some((id) => modelID.includes(id))
-  return {
-    ...newBreakpoints(BEDROCK_BREAKPOINT_CAP),
-    // Assume modern Claude releases retain caching support; older generations need an explicit exception.
-    // Other model families use implicit caching where available.
-    supported: modelID.includes("anthropic.claude-") && (short || !LEGACY_CLAUDE.some((id) => modelID.includes(id))),
-    ttl1h: !short,
-  }
-}
-export type Breakpoints = ReturnType<typeof breakpoints>
+export type { Breakpoints } from "./cache.js"
+export const breakpoints = () => newBreakpoints(BEDROCK_BREAKPOINT_CAP)
 
 const DEFAULT_5M: CachePointBlock = { cachePoint: { type: "default" } }
 const DEFAULT_1H: CachePointBlock = { cachePoint: { type: "default", ttl: "1h" } }
 
 export const block = (breakpoints: Breakpoints, cache: CacheHint | undefined): CachePointBlock | undefined => {
-  if (!breakpoints.supported) return undefined
   if (cache?.type !== "ephemeral" && cache?.type !== "persistent") return undefined
   if (breakpoints.remaining <= 0) {
     breakpoints.dropped += 1
     return undefined
   }
   breakpoints.remaining -= 1
-  return breakpoints.ttl1h && ttlBucket(cache.ttlSeconds) === "1h" ? DEFAULT_1H : DEFAULT_5M
+  return ttlBucket(cache.ttlSeconds) === "1h" ? DEFAULT_1H : DEFAULT_5M
 }
 
 export * as BedrockCache from "./bedrock-cache.js"

packages/ai/src/protocols/utils/meta-image.ts

@@ -1,11 +0,0 @@
-// Responses image items can omit output_format, including when PNG/JPEG was requested.
-export const mediaType = (data: Uint8Array, format?: string) => {
-  if (format !== undefined) return `image/${format}`
-  if (data[0] === 137 && data[1] === 80 && data[2] === 78 && data[3] === 71) return "image/png"
-  if (data[0] === 255 && data[1] === 216 && data[2] === 255) return "image/jpeg"
-  if (new TextDecoder().decode(data.slice(0, 4)) === "RIFF" && new TextDecoder().decode(data.slice(8, 12)) === "WEBP")
-    return "image/webp"
-  return "application/octet-stream"
-}
-
-export * as MetaImage from "./meta-image.js"

packages/ai/src/providers/amazon-bedrock-mantle.ts

@@ -1,3 +1,4 @@
+import { Auth } from "../route/auth.js"
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
@@ -9,15 +10,9 @@ import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-opt
 export const id = ProviderID.make("amazon-bedrock")
 
 export type Config = RouteDefaultsInput & {
-  /** Bedrock API key. Falls back to `AWS_BEARER_TOKEN_BEDROCK`; bearer auth takes precedence over SigV4. */
   readonly apiKey?: string
-  /** `sigv4` ignores `apiKey` fallbacks from the environment; `bearer` requires a token. */
-  readonly auth?: "bearer" | "sigv4"
   readonly baseURL?: string
-  /** Static SigV4 credentials. When omitted the AWS default credential chain resolves them per request. */
   readonly credentials?: Credentials
-  /** Shared config profile for the default credential chain. */
-  readonly profile?: string
   readonly region?: string
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
@@ -27,7 +22,6 @@ export interface Settings extends ProviderPackage.Settings {
   readonly auth?: "bearer" | "sigv4"
   readonly baseURL?: string
   readonly credentials?: Credentials
-  readonly profile?: string
   readonly region?: string
   readonly topP?: number
   readonly providerOptions?: OpenAIProviderOptionsInput
@@ -53,35 +47,23 @@ const chatRoute = OpenAIChat.route.with({
 export const routes = [responsesRoute, chatRoute]
 
 const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) => {
-  const region = BedrockAuth.resolveRegion(input)
+  const region = input.region ?? input.credentials?.region ?? "us-east-1"
+  const credentials = input.credentials === undefined ? undefined : { ...input.credentials, region }
   return route.with({
     endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },
-    auth: BedrockAuth.resolveAuth(input, region, {
-      service: "bedrock-mantle",
-      name: "Bedrock Mantle",
-      mode: input.auth,
-    }),
+    auth:
+      input.apiKey === undefined
+        ? BedrockAuth.sigV4(credentials, { service: "bedrock-mantle", name: "Bedrock Mantle" })
+        : Auth.bearer(input.apiKey),
   })
 }
 
 const defaults = (input: Config) => {
-  const {
-    apiKey: _,
-    auth: _auth,
-    baseURL: _baseURL,
-    credentials: _credentials,
-    profile: _profile,
-    region: _region,
-    ...rest
-  } = input
+  const { apiKey: _, baseURL: _baseURL, credentials: _credentials, region: _region, ...rest } = input
   return rest
 }
 
 export const configure = (input: Config = {}) => {
-  if (input.auth === "bearer" && input.apiKey === undefined && process.env.AWS_BEARER_TOKEN_BEDROCK === undefined)
-    throw new Error("Amazon Bedrock Mantle bearer auth requires apiKey")
-  if (input.auth === "sigv4" && input.apiKey !== undefined)
-    throw new Error("Amazon Bedrock Mantle SigV4 auth does not accept apiKey")
   const configuredResponsesRoute = configuredRoute(responsesRoute, input)
   const configuredChatRoute = configuredRoute(chatRoute, input)
   const modelDefaults = defaults(input)
@@ -105,26 +87,29 @@ export const configure = (input: Config = {}) => {
 
 export const provider = configure()
 
-const fromSettings = (settings: Settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    auth: settings.auth,
+const config = (settings: Settings): Config => {
+  if (settings.auth === "bearer" && settings.apiKey === undefined)
+    throw new Error("Amazon Bedrock Mantle bearer auth requires apiKey")
+  if (settings.auth === "sigv4" && settings.apiKey !== undefined)
+    throw new Error("Amazon Bedrock Mantle SigV4 auth does not accept apiKey")
+  return {
+    apiKey: settings.auth === "sigv4" ? undefined : settings.apiKey,
     baseURL: settings.baseURL,
     credentials: settings.credentials,
     generation: settings.topP === undefined ? undefined : { topP: settings.topP },
     headers: settings.headers === undefined ? undefined : { ...settings.headers },
     http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    profile: settings.profile,
     providerOptions: settings.providerOptions,
     region: settings.region,
-  })
+  }
+}
 
 export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
   modelID,
   settings,
-) => fromSettings(settings).chat(modelID)
+) => configure(config(settings)).chat(modelID)
 export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
   modelID,
   settings,
-) => fromSettings(settings).responses(modelID)
+) => configure(config(settings)).responses(modelID)
 export const model = responsesModel

packages/ai/src/providers/amazon-bedrock.ts

@@ -1,23 +1,17 @@
 import type { RouteDefaultsInput } from "../route/client.js"
+import { Auth } from "../route/auth.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
 import * as BedrockConverse from "../protocols/bedrock-converse.js"
 import type { BedrockCredentials } from "../protocols/bedrock-converse.js"
-import { BedrockAuth } from "../protocols/utils/bedrock-auth.js"
 
 export const id = ProviderID.make("amazon-bedrock")
 
 export type Config = RouteDefaultsInput & {
-  /** Bedrock API key. Falls back to `AWS_BEARER_TOKEN_BEDROCK`; bearer auth takes precedence over SigV4. */
   readonly apiKey?: string
-  /** `sigv4` ignores `apiKey` fallbacks from the environment; `bearer` requires a token. */
-  readonly auth?: "bearer" | "sigv4"
   readonly headers?: Record<string, string>
-  /** Static SigV4 credentials. When omitted the AWS default credential chain resolves them per request. */
   readonly credentials?: BedrockCredentials
-  /** Shared config profile for the default credential chain. */
-  readonly profile?: string
-  /** AWS region. Falls back to `credentials.region`, `AWS_REGION`, `AWS_DEFAULT_REGION`, then `us-east-1`. */
+  /** AWS region. Defaults to `us-east-1` when neither this nor `credentials.region` is set. */
   readonly region?: string
   /** Override the computed `https://bedrock-runtime.<region>.amazonaws.com` URL. */
   readonly baseURL?: string
@@ -28,7 +22,6 @@ export interface Settings extends ProviderPackage.Settings {
   readonly auth?: "bearer" | "sigv4"
   readonly baseURL?: string
   readonly credentials?: BedrockCredentials
-  readonly profile?: string
   readonly region?: string
   readonly topP?: number
 }
@@ -37,17 +30,14 @@ export const routes = [BedrockConverse.route]
 const bedrockBaseURL = (region: string) => `https://bedrock-runtime.${region}.amazonaws.com`
 
 const configuredRoute = (input: Config) => {
-  const { apiKey, auth, credentials, profile, region, baseURL, ...rest } = input
-  if (auth === "bearer" && apiKey === undefined && process.env.AWS_BEARER_TOKEN_BEDROCK === undefined)
-    throw new Error("Amazon Bedrock bearer auth requires apiKey")
-  if (auth === "sigv4" && apiKey !== undefined) throw new Error("Amazon Bedrock SigV4 auth does not accept apiKey")
-  const resolvedRegion = BedrockAuth.resolveRegion(input)
+  const { apiKey, credentials, region, baseURL, ...rest } = input
+  const resolvedRegion = region ?? credentials?.region ?? "us-east-1"
   return BedrockConverse.route.with({
     ...rest,
     provider: id,
     providerMetadataKey: "bedrock",
     endpoint: { baseURL: baseURL ?? bedrockBaseURL(resolvedRegion) },
-    auth: BedrockAuth.resolveAuth({ apiKey, credentials, profile }, resolvedRegion, { mode: auth }),
+    auth: apiKey === undefined ? BedrockConverse.sigV4Auth(credentials) : Auth.bearer(apiKey),
   })
 }
 
@@ -61,15 +51,18 @@ export const configure = (input: Config = {}) => {
 }
 
 export const provider = configure()
-export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    auth: settings.auth,
+export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, settings) => {
+  if (settings.auth === "bearer" && settings.apiKey === undefined)
+    throw new Error("Amazon Bedrock bearer auth requires apiKey")
+  if (settings.auth === "sigv4" && settings.apiKey !== undefined)
+    throw new Error("Amazon Bedrock SigV4 auth does not accept apiKey")
+  return configure({
+    apiKey: settings.auth === "sigv4" ? undefined : settings.apiKey,
     baseURL: settings.baseURL,
     credentials: settings.credentials,
     generation: settings.topP === undefined ? undefined : { topP: settings.topP },
     headers: settings.headers === undefined ? undefined : { ...settings.headers },
     http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    profile: settings.profile,
     region: settings.region,
   }).model(modelID)
+}

packages/ai/src/providers/baseten.ts

@@ -1,60 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("baseten")
-const baseURL = "https://inference.baseten.co/v1"
-
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export interface Settings extends ProviderPackage.Settings {
-  readonly apiKey?: string
-  readonly baseURL?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput
-}
-
-export const route = Route.make({
-  id: "baseten-chat",
-  provider: id,
-  providerMetadataKey: "baseten",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
-    auth: AuthOptions.bearer(input, "BASETEN_API_KEY"),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
-    configure,
-  }
-}
-
-export const provider = configure()
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers === undefined ? undefined : { ...settings.headers },
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export * as Baseten from "./baseten.js"

packages/ai/src/providers/cerebras.ts

@@ -1,13 +1,12 @@
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
+import type { RouteDefaultsInput } from "../route/client.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
 
 export const id = ProviderID.make("cerebras")
-const baseURL = "https://api.cerebras.ai/v1"
 
 export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
@@ -21,22 +20,19 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
-export const route = Route.make({
+export const route = OpenAICompatibleChat.route.with({
   id: "cerebras-chat",
   provider: id,
-  providerMetadataKey: "cerebras",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
+  endpoint: { baseURL: profiles.cerebras.baseURL },
 })
 
 export const routes = [route]
 
 export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
   const configured = route.with({
     ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? profiles.cerebras.baseURL },
     auth: AuthOptions.bearer(input, "CEREBRAS_API_KEY"),
   })
   return {

packages/ai/src/providers/cloudflare-ai-gateway.ts

@@ -1,98 +0,0 @@
-import type { Config, Redacted } from "effect"
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { Auth } from "../route/auth.js"
-import type { AtLeastOne, ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("cloudflare-ai-gateway")
-export const authEnvVars = ["CLOUDFLARE_API_TOKEN", "CF_AIG_TOKEN"] as const
-
-type GatewayURL = AtLeastOne<{
-  readonly accountId: string
-  readonly baseURL: string
-}> & {
-  readonly gatewayId?: string
-}
-
-export type LanguageModelOptions = GatewayURL &
-  Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    /** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
-    readonly gatewayApiKey?: string | Redacted.Redacted | Config.Config<string | Redacted.Redacted>
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export type Settings = ProviderPackage.Settings &
-  GatewayURL & {
-    readonly apiKey?: string
-    readonly gatewayApiKey?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export const baseURL = (input: GatewayURL) => {
-  if (input.baseURL) return input.baseURL
-  if (!input.accountId) throw new Error("CloudflareAIGateway.configure requires accountId unless baseURL is supplied")
-  return `https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(input.accountId)}/${encodeURIComponent(input.gatewayId?.trim() || "default")}/compat`
-}
-
-const auth = (input: LanguageModelOptions) => {
-  if ("auth" in input && input.auth) return input.auth
-  const gateway = Auth.optional(input.gatewayApiKey, "gatewayApiKey")
-    .orElse(Auth.config(authEnvVars[0]))
-    .orElse(Auth.config(authEnvVars[1]))
-    .pipe(Auth.bearerHeader("cf-aig-authorization"))
-  if (!("apiKey" in input) || input.apiKey === undefined) return gateway
-  if (input.gatewayApiKey === undefined) return Auth.bearer(input.apiKey)
-  return Auth.bearerHeader("cf-aig-authorization", input.gatewayApiKey).andThen(Auth.bearer(input.apiKey))
-}
-
-export const route = Route.make({
-  id: "cloudflare-ai-gateway",
-  provider: id,
-  providerMetadataKey: "cloudflare-ai-gateway",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions"),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions) => {
-  const {
-    accountId: _accountId,
-    gatewayId: _gatewayId,
-    apiKey: _apiKey,
-    gatewayApiKey: _gatewayApiKey,
-    baseURL: _baseURL,
-    auth: _auth,
-    ...defaults
-  } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: baseURL(input) },
-    auth: auth(input),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
-    configure,
-  }
-}
-
-export const provider = { id, configure }
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    gatewayApiKey: settings.gatewayApiKey,
-    baseURL: baseURL(settings),
-    headers: settings.headers === undefined ? undefined : { ...settings.headers },
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export * as CloudflareAIGateway from "./cloudflare-ai-gateway.js"

packages/ai/src/providers/cloudflare-workers-ai.ts

@@ -1,71 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { AuthOptions, type AtLeastOne, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("cloudflare-workers-ai")
-export const authEnvVars = ["CLOUDFLARE_API_KEY", "CLOUDFLARE_WORKERS_AI_TOKEN"] as const
-
-type WorkersAIURL = AtLeastOne<{
-  readonly accountId: string
-  readonly baseURL: string
-}>
-
-export type LanguageModelOptions = WorkersAIURL &
-  Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export type Settings = ProviderPackage.Settings &
-  WorkersAIURL & {
-    readonly apiKey?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export const baseURL = (input: WorkersAIURL) => {
-  if (input.baseURL) return input.baseURL
-  if (!input.accountId) throw new Error("CloudflareWorkersAI.configure requires accountId unless baseURL is supplied")
-  return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
-}
-
-export const route = Route.make({
-  id: "cloudflare-workers-ai",
-  provider: id,
-  providerMetadataKey: "cloudflare-workers-ai",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions"),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions) => {
-  const { accountId: _accountId, apiKey: _apiKey, auth: _auth, baseURL: _baseURL, ...defaults } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: baseURL(input) },
-    auth: AuthOptions.bearer(input, authEnvVars),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
-    configure,
-  }
-}
-
-export const provider = { id, configure }
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    baseURL: baseURL(settings),
-    headers: settings.headers === undefined ? undefined : { ...settings.headers },
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"

packages/ai/src/providers/cloudflare.ts

@@ -0,0 +1,133 @@
+import type { Config, Redacted } from "effect"
+import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat.js"
+import { Auth } from "../route/auth.js"
+import { AuthOptions, type AtLeastOne, type ProviderAuthOption } from "../route/auth-options.js"
+import type { RouteDefaultsInput } from "../route/client.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const aiGatewayID = ProviderID.make("cloudflare-ai-gateway")
+export const workersAIID = ProviderID.make("cloudflare-workers-ai")
+export const aiGatewayAuthEnvVars = ["CLOUDFLARE_API_TOKEN", "CF_AIG_TOKEN"] as const
+export const workersAIAuthEnvVars = ["CLOUDFLARE_API_KEY", "CLOUDFLARE_WORKERS_AI_TOKEN"] as const
+
+type CloudflareSecret = string | Redacted.Redacted | Config.Config<string | Redacted.Redacted>
+
+type GatewayURL = AtLeastOne<{
+  readonly accountId: string
+  readonly baseURL: string
+}> & {
+  readonly gatewayId?: string
+}
+
+export type AIGatewayOptions = GatewayURL &
+  Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    /** Cloudflare AI Gateway authentication token. Sent as `cf-aig-authorization`. */
+    readonly gatewayApiKey?: CloudflareSecret
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+type WorkersAIURL = AtLeastOne<{
+  readonly accountId: string
+  readonly baseURL: string
+}>
+
+export type WorkersAIOptions = WorkersAIURL &
+  Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export const aiGatewayBaseURL = (input: GatewayURL) => {
+  if (input.baseURL) return input.baseURL
+  if (!input.accountId) throw new Error("CloudflareAIGateway.configure requires accountId unless baseURL is supplied")
+  return `https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(input.accountId)}/${encodeURIComponent(input.gatewayId?.trim() || "default")}/compat`
+}
+
+const aiGatewayAuth = (input: AIGatewayOptions) => {
+  if ("auth" in input && input.auth) return input.auth
+  const gateway = Auth.optional(input.gatewayApiKey, "gatewayApiKey")
+    .orElse(Auth.config("CLOUDFLARE_API_TOKEN"))
+    .orElse(Auth.config("CF_AIG_TOKEN"))
+    .pipe(Auth.bearerHeader("cf-aig-authorization"))
+  if (!("apiKey" in input) || input.apiKey === undefined) return gateway
+  if (input.gatewayApiKey === undefined) return Auth.bearer(input.apiKey)
+  return Auth.bearerHeader("cf-aig-authorization", input.gatewayApiKey).andThen(Auth.bearer(input.apiKey))
+}
+
+export const workersAIBaseURL = (input: WorkersAIURL) => {
+  if (input.baseURL) return input.baseURL
+  if (!input.accountId) throw new Error("CloudflareWorkersAI.configure requires accountId unless baseURL is supplied")
+  return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
+}
+
+const workersAIAuth = (input: WorkersAIOptions) => {
+  return AuthOptions.bearer(input, workersAIAuthEnvVars)
+}
+
+export const aiGatewayRoute = OpenAICompatibleChat.route.with({
+  id: "cloudflare-ai-gateway",
+  provider: aiGatewayID,
+})
+
+export const workersAIRoute = OpenAICompatibleChat.route.with({
+  id: "cloudflare-workers-ai",
+  provider: workersAIID,
+})
+
+export const routes = [aiGatewayRoute, workersAIRoute]
+
+const aiGatewayDefaults = (options: AIGatewayOptions) => {
+  const {
+    accountId: _accountId,
+    gatewayId: _gatewayId,
+    apiKey: _apiKey,
+    gatewayApiKey: _gatewayApiKey,
+    baseURL: _baseURL,
+    auth: _auth,
+    ...rest
+  } = options
+  return rest
+}
+
+const workersAIDefaults = (options: WorkersAIOptions) => {
+  const { accountId: _accountId, apiKey: _apiKey, auth: _auth, baseURL: _baseURL, ...rest } = options
+  return rest
+}
+
+const configureAIGateway = (options: AIGatewayOptions) => {
+  const route = aiGatewayRoute.with({
+    ...aiGatewayDefaults(options),
+    endpoint: { baseURL: aiGatewayBaseURL(options) },
+    auth: aiGatewayAuth(options),
+  })
+  return {
+    id: aiGatewayID,
+    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
+    configure: configureAIGateway,
+  }
+}
+
+const configureWorkersAI = (options: WorkersAIOptions) => {
+  const route = workersAIRoute.with({
+    ...workersAIDefaults(options),
+    endpoint: { baseURL: workersAIBaseURL(options) },
+    auth: workersAIAuth(options),
+  })
+  return {
+    id: workersAIID,
+    model: (modelID: string | ModelID) => route.model<OpenAIProviderOptionsInput>({ id: modelID }),
+    configure: configureWorkersAI,
+  }
+}
+
+export const CloudflareAIGateway = {
+  id: aiGatewayID,
+  configure: configureAIGateway,
+}
+
+export const CloudflareWorkersAI = {
+  id: workersAIID,
+  configure: configureWorkersAI,
+}

packages/ai/src/providers/deepinfra.ts

@@ -1,13 +1,12 @@
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
+import type { RouteDefaultsInput } from "../route/client.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
 
 export const id = ProviderID.make("deepinfra")
-const baseURL = "https://api.deepinfra.com/v1/openai"
 
 export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
@@ -21,24 +20,21 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
-export const route = Route.make({
+export const route = OpenAICompatibleChat.route.with({
   id: "deepinfra-chat",
   provider: id,
-  providerMetadataKey: "deepinfra",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
+  endpoint: { baseURL: profiles.deepinfra.baseURL },
 })
 
 export const routes = [route]
 
 export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const root = endpoint?.replace(/\/+$/, "")
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const root = baseURL?.replace(/\/+$/, "")
   const configured = route.with({
     ...defaults,
     endpoint: {
-      baseURL: root === undefined ? baseURL : root.endsWith("/openai") ? root : `${root}/openai`,
+      baseURL: root === undefined ? profiles.deepinfra.baseURL : root.endsWith("/openai") ? root : `${root}/openai`,
     },
     auth: AuthOptions.bearer(input, "DEEPINFRA_API_KEY"),
   })

packages/ai/src/providers/deepseek.ts

@@ -1,64 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("deepseek")
-const baseURL = "https://api.deepseek.com/v1"
-
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export interface Settings extends ProviderPackage.Settings {
-  readonly apiKey?: string
-  readonly baseURL?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput
-}
-
-export const route = Route.make({
-  id: "deepseek-chat",
-  provider: id,
-  providerMetadataKey: "deepseek",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
-    auth: AuthOptions.bearer(input, "DEEPSEEK_API_KEY"),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) =>
-      configured.model<OpenAIProviderOptionsInput>({
-        id: modelID,
-        compatibility: { maxTokensField: "max_tokens", supportsStore: false },
-      }),
-    configure,
-  }
-}
-
-export const provider = configure()
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers === undefined ? undefined : { ...settings.headers },
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export * as DeepSeek from "./deepseek.js"

packages/ai/src/providers/fireworks.ts

@@ -1,60 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("fireworks")
-const baseURL = "https://api.fireworks.ai/inference/v1"
-
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export interface Settings extends ProviderPackage.Settings {
-  readonly apiKey?: string
-  readonly baseURL?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput
-}
-
-export const route = Route.make({
-  id: "fireworks-chat",
-  provider: id,
-  providerMetadataKey: "fireworks",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
-    auth: AuthOptions.bearer(input, "FIREWORKS_API_KEY"),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) => configured.model<OpenAIProviderOptionsInput>({ id: modelID }),
-    configure,
-  }
-}
-
-export const provider = configure()
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (modelID, settings) =>
-  configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers === undefined ? undefined : { ...settings.headers },
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export * as Fireworks from "./fireworks.js"

packages/ai/src/providers/google-vertex-chat.ts

@@ -1,7 +1,6 @@
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
+import type { RouteDefaultsInput } from "../route/client.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
 import { GoogleVertexShared } from "./google-vertex-shared.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
@@ -25,13 +24,10 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
-const route = Route.make({
+const route = OpenAICompatibleChat.route.with({
   id: "google-vertex-chat",
   provider: id,
   providerMetadataKey: "vertex",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions"),
-  framing: OpenAIChat.framing,
 })
 
 export const routes = [route]

packages/ai/src/providers/google-vertex-responses.ts

@@ -1,7 +1,6 @@
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenResponses } from "../protocols/open-responses.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
+import { OpenAICompatibleResponses } from "../protocols/openai-compatible-responses.js"
+import type { RouteDefaultsInput } from "../route/client.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
 import { GoogleVertexShared } from "./google-vertex-shared.js"
 import type { OpenResponsesProviderOptionsInput } from "./open-responses-options.js"
@@ -25,14 +24,11 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenResponsesProviderOptionsInput
 }
 
-const route = Route.make({
+const route = OpenAICompatibleResponses.route.with({
   id: "google-vertex-responses",
   provider: id,
   providerMetadataKey: "vertex",
-  protocol: OpenResponses.protocol,
-  endpoint: Endpoint.path(OpenResponses.PATH),
-  transport: OpenResponses.httpTransport,
-  defaults: { providerOptions: { store: false, include: ["reasoning.encrypted_content"] } },
+  providerOptions: { store: false },
 })
 
 export const routes = [route]

packages/ai/src/providers/groq.ts

@@ -7,10 +7,10 @@ import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
 import { ProviderID, type ModelID, type LLMRequest } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
 
 export const id = ProviderID.make("groq")
-const baseURL = "https://api.groq.com/openai/v1"
 
 export type ProviderOptions = Pick<OpenAIProviderOptionsInput, "reasoningEffort"> & {
   /** Controls visible reasoning on GPT-OSS; other models always use parsed reasoning. */
@@ -73,15 +73,15 @@ export const route = Route.make({
   provider: id,
   providerMetadataKey: "openai",
   protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
+  endpoint: Endpoint.path("/chat/completions", { baseURL: profiles.groq.baseURL }),
   framing: OpenAIChat.framing,
 })
 
 export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
   const configured = route.with({
     ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? profiles.groq.baseURL },
     auth: AuthOptions.bearer(input, "GROQ_API_KEY"),
   })
   return {

packages/ai/src/providers/index.ts

@@ -3,21 +3,16 @@ export * as AnthropicCompatible from "./anthropic-compatible.js"
 export * as AmazonBedrock from "./amazon-bedrock.js"
 export * as AmazonBedrockMantle from "./amazon-bedrock-mantle.js"
 export * as Azure from "./azure.js"
-export * as Baseten from "./baseten.js"
 export * as Cerebras from "./cerebras.js"
-export * as CloudflareAIGateway from "./cloudflare-ai-gateway.js"
-export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"
+export * as Cloudflare from "./cloudflare.js"
+export { CloudflareAIGateway, CloudflareWorkersAI } from "./cloudflare.js"
 export * as DeepInfra from "./deepinfra.js"
-export * as DeepSeek from "./deepseek.js"
-export * as Fireworks from "./fireworks.js"
 export * as Google from "./google.js"
 export * as GoogleVertex from "./google-vertex.js"
 export * as GoogleVertexChat from "./google-vertex-chat.js"
 export * as GoogleVertexMessages from "./google-vertex-messages.js"
 export * as GoogleVertexResponses from "./google-vertex-responses.js"
 export * as Groq from "./groq.js"
-export * as Meta from "./meta.js"
-export * as MiniMax from "./minimax.js"
 export * as Mistral from "./mistral.js"
 export * as OpenAI from "./openai.js"
 export * as OpenAICompatible from "./openai-compatible.js"

packages/ai/src/providers/meta.ts

@@ -1,182 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { AnthropicMessages } from "../protocols/anthropic-messages.js"
-import { MetaResponses } from "../protocols/meta-responses.js"
-import { MetaMessages } from "../protocols/meta-messages.js"
-import { MetaImages } from "../protocols/meta-images.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { HttpOptions, ProviderID, ToolDefinition, type ModelID } from "../schema/index.js"
-import type { OpenResponsesProviderOptionsInput } from "./open-responses-options.js"
-
-export const id = ProviderID.make("meta")
-const baseURL = "https://api.meta.ai/v1"
-
-export type ProviderOptionsInput = OpenResponsesProviderOptionsInput &
-  Pick<AnthropicMessages.OptionsInput, "thinking" | "effort">
-export type MessagesOptionsInput = Pick<
-  AnthropicMessages.OptionsInput,
-  "thinking" | "effort" | "outputConfig" | "output_config" | "serviceTier" | "service_tier" | "metadata"
-> & { readonly [key: string]: unknown }
-export type ImageOptions = MetaImages.ImageOptions
-
-export interface WebSearchOptions {
-  readonly searchContextSize?: "low" | "medium" | "high" | (string & {})
-  readonly userLocation?: {
-    readonly city?: string
-    readonly region?: string
-    readonly country?: string
-    readonly timezone?: string
-  }
-}
-
-export const webSearch = (options: WebSearchOptions = {}) =>
-  ToolDefinition.make({
-    name: "web_search",
-    description: "Search the web with Meta's hosted search tool.",
-    inputSchema: { type: "object", properties: {}, additionalProperties: false },
-    native: {
-      meta: {
-        type: "web_search",
-        search_context_size: options.searchContextSize,
-        user_location:
-          options.userLocation === undefined ? undefined : { type: "approximate", ...options.userLocation },
-      },
-    },
-  })
-
-export interface ImageGenerationOptions {
-  readonly size?: string
-  readonly outputFormat?: "webp" | "png" | "jpeg" | (string & {})
-  readonly reasoningStrength?: "low" | "high" | (string & {})
-  readonly enableImageSearch?: boolean
-  readonly enableWebSearch?: boolean
-  readonly enableShell?: boolean
-}
-
-export const imageGeneration = (options: ImageGenerationOptions = {}) =>
-  ToolDefinition.make({
-    name: "image_generation",
-    description: "Generate or edit an image with Muse Image.",
-    inputSchema: { type: "object", properties: {}, additionalProperties: false },
-    native: {
-      meta: {
-        type: "image_generation",
-        size: options.size,
-        output_format: options.outputFormat,
-        reasoning_strength: options.reasoningStrength,
-        enable_image_search: options.enableImageSearch,
-        enable_web_search: options.enableWebSearch,
-        enable_shell: options.enableShell,
-      },
-    },
-  })
-
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: ProviderOptionsInput
-  }
-
-export interface Settings extends ProviderPackage.Settings {
-  readonly apiKey?: string
-  readonly baseURL?: string
-  readonly providerOptions?: ProviderOptionsInput
-}
-
-const responsesRoute = Route.make({
-  id: "meta-responses",
-  provider: id,
-  providerMetadataKey: "meta",
-  protocol: MetaResponses.protocol,
-  endpoint: Endpoint.path("/responses", { baseURL }),
-  // Meta Responses does not support WebSocket upgrades; always use HTTP/SSE.
-  transport: MetaResponses.httpTransport,
-  defaults: { providerOptions: { store: false, include: ["reasoning.encrypted_content"] } },
-})
-
-const chatRoute = Route.make({
-  id: "meta-chat",
-  provider: id,
-  providerMetadataKey: "meta",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
-})
-
-const messagesRoute = Route.make({
-  id: "meta-messages",
-  provider: id,
-  providerMetadataKey: "meta",
-  protocol: MetaMessages.protocol,
-  endpoint: Endpoint.path("/messages", { baseURL }),
-  framing: AnthropicMessages.framing,
-  defaults: { providerOptions: { thinking: { type: "adaptive", display: "omitted" } } },
-})
-
-export const routes = [responsesRoute, chatRoute, messagesRoute]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const options = {
-    ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
-    auth: AuthOptions.bearer(input, "META_API_KEY"),
-  }
-  const configuredResponses = responsesRoute.with(options)
-  const configuredChat = chatRoute.with(options)
-  const configuredMessages = messagesRoute.with(options)
-  const responses = (modelID: string | ModelID) =>
-    configuredResponses.model<OpenResponsesProviderOptionsInput>({ id: modelID })
-  const chat = (modelID: string | ModelID) =>
-    configuredChat.model<OpenResponsesProviderOptionsInput>({
-      id: modelID,
-      compatibility: { maxTokensField: "max_completion_tokens", supportsStore: false },
-    })
-  const messages = (modelID: string | ModelID) =>
-    configuredMessages.model<MessagesOptionsInput>({
-      id: modelID,
-      compatibility: { requireSignature: false },
-    })
-  const image = (modelID: string | ModelID) =>
-    MetaImages.model({
-      id: modelID,
-      baseURL: endpoint ?? baseURL,
-      auth: options.auth,
-      headers: input.headers,
-      http: input.http === undefined ? undefined : HttpOptions.make(input.http),
-    })
-  return { id, model: responses, responses, chat, messages, image, configure }
-}
-
-export const provider = configure()
-export const responses = provider.responses
-export const chat = provider.chat
-export const messages = provider.messages
-export const image = provider.image
-
-export const model: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
-  modelID,
-  settings,
-) => fromSettings(settings).responses(modelID)
-
-export const chatModel: ProviderPackage.Definition<Settings, OpenResponsesProviderOptionsInput>["model"] = (
-  modelID,
-  settings,
-) => fromSettings(settings).chat(modelID)
-
-export const messagesModel: ProviderPackage.Definition<Settings, MessagesOptionsInput>["model"] = (modelID, settings) =>
-  fromSettings(settings).messages(modelID)
-
-function fromSettings(settings: Settings) {
-  return configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers,
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  })
-}
-
-export * as Meta from "./meta.js"

packages/ai/src/providers/meta/chat.ts

@@ -1,2 +0,0 @@
-export { chatModel as model } from "../meta.js"
-export type { Settings } from "../meta.js"

packages/ai/src/providers/meta/messages.ts

@@ -1,2 +0,0 @@
-export { messagesModel as model } from "../meta.js"
-export type { Settings } from "../meta.js"

packages/ai/src/providers/meta/responses.ts

@@ -1,2 +0,0 @@
-export { model } from "../meta.js"
-export type { Settings } from "../meta.js"

packages/ai/src/providers/minimax.ts

@@ -1,144 +0,0 @@
-import { Effect, Schema } from "effect"
-import type { ProviderPackage } from "../provider-package.js"
-import { AnthropicMessages } from "../protocols/anthropic-messages.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { OpenResponses } from "../protocols/open-responses.js"
-import { ProviderShared } from "../protocols/shared.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { Framing } from "../route/framing.js"
-import { Protocol } from "../route/protocol.js"
-import { ProviderID, type LLMRequest, type ModelID } from "../schema/index.js"
-
-export const id = ProviderID.make("minimax")
-
-export type MessagesOptionsInput = {
-  /** M3 defaults to disabled; M2.x always thinks. */
-  readonly thinking?: { readonly type: "adaptive" | "disabled" }
-  readonly metadata?: AnthropicMessages.OptionsInput["metadata"]
-}
-
-export type ChatOptionsInput = {
-  /** M3 defaults to adaptive; M2.x always thinks. */
-  readonly thinking?: { readonly type: "adaptive" | "disabled" | (string & {}) }
-  /** Separates reasoning from text. Defaults to true. */
-  readonly reasoningSplit?: boolean
-}
-
-export type ResponsesOptionsInput = {
-  /** M3 defaults to none. Other supported values enable thinking without changing its depth. */
-  readonly reasoningEffort?: "none" | "minimal" | "low" | "medium" | "high" | (string & {})
-}
-
-export type ProviderOptionsInput = MessagesOptionsInput | ChatOptionsInput | ResponsesOptionsInput
-
-export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    /** Overrides the selected API's base URL, including its version prefix. */
-    readonly baseURL?: string
-    readonly providerOptions?: ProviderOptionsInput
-  }
-
-export interface Settings<Options = MessagesOptionsInput> extends ProviderPackage.Settings {
-  readonly apiKey?: string
-  readonly baseURL?: string
-  readonly providerOptions?: Options
-}
-
-const ChatOptions = Schema.Struct({
-  thinking: Schema.optional(Schema.Struct({ type: Schema.String })),
-  reasoningSplit: Schema.optional(Schema.Boolean),
-})
-
-const chatProtocol = Protocol.make({
-  id: "minimax-chat",
-  body: {
-    schema: Schema.Struct({
-      ...OpenAIChat.bodyFields,
-      thinking: ChatOptions.fields.thinking,
-      reasoning_split: Schema.Boolean,
-    }),
-    from: Effect.fn("MiniMax.chatFromRequest")(function* (request: LLMRequest) {
-      const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(ChatOptions))(
-        request.providerOptions ?? {},
-      )
-      return {
-        ...(yield* OpenAIChat.protocol.body.from(request)),
-        thinking: options.thinking,
-        // MiniMax otherwise embeds <think> tags in ordinary assistant text.
-        reasoning_split: options.reasoningSplit ?? true,
-      }
-    }),
-  },
-  stream: OpenAIChat.protocol.stream,
-})
-
-const messagesRoute = Route.make({
-  id: "minimax-messages",
-  provider: id,
-  providerMetadataKey: "minimax",
-  protocol: AnthropicMessages.protocol,
-  endpoint: Endpoint.path("/messages", { baseURL: "https://api.minimax.io/anthropic/v1" }),
-  framing: AnthropicMessages.framing,
-  headers: () => ({ "anthropic-version": "2023-06-01" }),
-})
-
-const chatRoute = Route.make({
-  id: "minimax-chat",
-  provider: id,
-  providerMetadataKey: "minimax",
-  protocol: chatProtocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.minimax.io/v1" }),
-  framing: OpenAIChat.framing,
-})
-
-const responsesRoute = Route.make({
-  id: "minimax-responses",
-  provider: id,
-  providerMetadataKey: "minimax",
-  protocol: OpenResponses.protocol,
-  endpoint: Endpoint.path("/responses", { baseURL: "https://api.minimax.io/v1" }),
-  framing: Framing.sse,
-})
-
-export const routes = [messagesRoute, chatRoute, responsesRoute]
-
-export const configure = (input: Config = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL, ...rest } = input
-  const defaults = {
-    ...rest,
-    endpoint: baseURL === undefined ? undefined : { baseURL },
-    auth: AuthOptions.bearer(input, "MINIMAX_API_KEY"),
-  }
-  const messages = (modelID: string | ModelID) =>
-    messagesRoute.with(defaults).model<MessagesOptionsInput>({ id: modelID })
-  const chat = (modelID: string | ModelID) =>
-    chatRoute.with(defaults).model<ChatOptionsInput>({
-      id: modelID,
-      compatibility: { supportsStore: false, supportsStrictMode: false },
-    })
-  const responses = (modelID: string | ModelID) =>
-    responsesRoute.with(defaults).model<ResponsesOptionsInput>({ id: modelID })
-  return { id, model: messages, messages, chat, responses, configure }
-}
-
-export const provider = configure()
-
-export const model: ProviderPackage.Definition<Settings<MessagesOptionsInput>, MessagesOptionsInput>["model"] = (
-  modelID,
-  settings,
-) =>
-  configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers,
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).model(modelID)
-
-export const messages = provider.messages
-export const chat = provider.chat
-export const responses = provider.responses
-
-export * as MiniMax from "./minimax.js"

packages/ai/src/providers/minimax/chat.ts

@@ -1,13 +0,0 @@
-import type { ProviderPackage } from "../../provider-package.js"
-import { MiniMax } from "../minimax.js"
-
-export type Settings = MiniMax.Settings<MiniMax.ChatOptionsInput>
-
-export const model: ProviderPackage.Definition<Settings, MiniMax.ChatOptionsInput>["model"] = (modelID, settings) =>
-  MiniMax.configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers,
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).chat(modelID)

packages/ai/src/providers/minimax/messages.ts

@@ -1 +0,0 @@
-export { model, type Settings, type MessagesOptionsInput } from "../minimax.js"

packages/ai/src/providers/minimax/responses.ts

@@ -1,16 +0,0 @@
-import type { ProviderPackage } from "../../provider-package.js"
-import { MiniMax } from "../minimax.js"
-
-export type Settings = MiniMax.Settings<MiniMax.ResponsesOptionsInput>
-
-export const model: ProviderPackage.Definition<Settings, MiniMax.ResponsesOptionsInput>["model"] = (
-  modelID,
-  settings,
-) =>
-  MiniMax.configure({
-    apiKey: settings.apiKey,
-    baseURL: settings.baseURL,
-    headers: settings.headers,
-    http: settings.body === undefined ? undefined : { body: { ...settings.body } },
-    providerOptions: settings.providerOptions,
-  }).responses(modelID)

packages/ai/src/providers/openai-compatible-profile.ts

@@ -0,0 +1,20 @@
+export interface OpenAICompatibleProfile {
+  readonly provider: string
+  readonly baseURL: string
+}
+
+export const profiles = {
+  baseten: { provider: "baseten", baseURL: "https://inference.baseten.co/v1" },
+  cerebras: { provider: "cerebras", baseURL: "https://api.cerebras.ai/v1" },
+  deepinfra: { provider: "deepinfra", baseURL: "https://api.deepinfra.com/v1/openai" },
+  deepseek: { provider: "deepseek", baseURL: "https://api.deepseek.com/v1" },
+  fireworks: { provider: "fireworks", baseURL: "https://api.fireworks.ai/inference/v1" },
+  groq: { provider: "groq", baseURL: "https://api.groq.com/openai/v1" },
+  openrouter: { provider: "openrouter", baseURL: "https://openrouter.ai/api/v1" },
+  togetherai: { provider: "togetherai", baseURL: "https://api.together.xyz/v1" },
+  xai: { provider: "xai", baseURL: "https://api.x.ai/v1" },
+} as const satisfies Record<string, OpenAICompatibleProfile>
+
+export const byProvider: Record<string, OpenAICompatibleProfile> = Object.fromEntries(
+  Object.values(profiles).map((profile) => [profile.provider, profile]),
+)

packages/ai/src/providers/openai-compatible.ts

@@ -1,8 +1,9 @@
 import { ProviderID, type ModelID } from "../schema/index.js"
-import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
+import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat.js"
 import type { RouteDefaultsInput } from "../route/client.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
 import type { ProviderPackage } from "../provider-package.js"
+import { profiles, type OpenAICompatibleProfile } from "./openai-compatible-profile.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
 
 export const id = ProviderID.make("openai-compatible")
@@ -21,6 +22,12 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
+export type FamilyModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
 export const routes = [OpenAICompatibleChat.route]
 
 export const configure = (input: GenericModelOptions) => {
@@ -40,6 +47,22 @@ export const configure = (input: GenericModelOptions) => {
   }
 }
 
+const define = (profile: OpenAICompatibleProfile) => {
+  const configureProfile = (input: FamilyModelOptions = {}) => {
+    const facade = configure({
+      ...input,
+      baseURL: input.baseURL ?? profile.baseURL,
+      provider: profile.provider,
+    })
+    return {
+      id: ProviderID.make(profile.provider),
+      model: facade.model,
+      configure: configureProfile,
+    }
+  }
+  return configureProfile()
+}
+
 export const provider = {
   id,
   configure,
@@ -55,4 +78,10 @@ export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsIn
     providerOptions: settings.providerOptions,
   }).model(modelID)
 
-export * as OpenAICompatible from "./openai-compatible.js"
+export const baseten = define(profiles.baseten)
+export const cerebras = define(profiles.cerebras)
+export const deepinfra = define(profiles.deepinfra)
+export const deepseek = define(profiles.deepseek)
+export const fireworks = define(profiles.fireworks)
+export const groq = define(profiles.groq)
+export const togetherai = define(profiles.togetherai)

packages/ai/src/providers/openrouter.ts

@@ -5,12 +5,13 @@ import { Protocol } from "../route/protocol.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
 import { ProviderID, type CacheHint, type ModelID } from "../schema/index.js"
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
+import * as OpenAICompatibleProfiles from "./openai-compatible-profile.js"
+import * as OpenAIChat from "../protocols/openai-chat.js"
 import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
 import { isRecord } from "../protocols/shared.js"
 
-export const id = ProviderID.make("openrouter")
-const baseURL = "https://openrouter.ai/api/v1"
+export const profile = OpenAICompatibleProfiles.profiles.openrouter
+export const id = ProviderID.make(profile.provider)
 const ADAPTER = "openrouter"
 
 type OpenRouterString<Known extends string> = Known | (string & {})
@@ -161,20 +162,20 @@ const bodyOptions = (input: unknown) => {
 
 export const route = Route.make({
   id: ADAPTER,
-  provider: id,
+  provider: profile.provider,
   providerMetadataKey: "openrouter",
   protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
+  endpoint: Endpoint.path("/chat/completions", { baseURL: profile.baseURL }),
   framing: OpenAIChat.framing,
 })
 
 export const routes = [route]
 
 const configuredRoute = (input: LanguageModelOptions) => {
-  const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
+  const { apiKey: _, auth: _auth, baseURL, ...rest } = input
   return route.with({
     ...rest,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? profile.baseURL },
     auth: AuthOptions.bearer(input, "OPENROUTER_API_KEY"),
   })
 }

packages/ai/src/providers/togetherai.ts

@@ -1,13 +1,12 @@
 import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
+import { OpenAICompatibleChat } from "../protocols/openai-compatible-chat.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
+import type { RouteDefaultsInput } from "../route/client.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
+import { profiles } from "./openai-compatible-profile.js"
 import type { OpenAIProviderOptionsInput } from "./openai-options.js"
 
 export const id = ProviderID.make("togetherai")
-const baseURL = "https://api.together.xyz/v1"
 
 export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
   ProviderAuthOption<"optional"> & {
@@ -21,22 +20,19 @@ export interface Settings extends ProviderPackage.Settings {
   readonly providerOptions?: OpenAIProviderOptionsInput
 }
 
-export const route = Route.make({
+export const route = OpenAICompatibleChat.route.with({
   id: "togetherai-chat",
   provider: id,
-  providerMetadataKey: "togetherai",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
+  endpoint: { baseURL: profiles.togetherai.baseURL },
 })
 
 export const routes = [route]
 
 export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
   const configured = route.with({
     ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? profiles.togetherai.baseURL },
     auth: AuthOptions.bearer(input, ["TOGETHER_API_KEY", "TOGETHER_AI_API_KEY"]),
   })
   return {

packages/ai/src/providers/xai.ts

@@ -2,7 +2,9 @@ import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { HttpOptions, ProviderID, type ModelID } from "../schema/index.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
+import * as OpenAICompatibleProfiles from "./openai-compatible-profile.js"
+import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat.js"
+import * as OpenAIChat from "../protocols/openai-chat.js"
 import { OpenResponsesChannel } from "../protocols/open-responses-channel.js"
 import { XAIResponses } from "../protocols/xai-responses.js"
 import { XAIImages } from "../protocols/xai-images.js"
@@ -10,7 +12,6 @@ import type { OpenAIOptionsInput } from "./openai-options.js"
 import type { ProviderPackage } from "../provider-package.js"
 
 export const id = ProviderID.make("xai")
-const baseURL = "https://api.x.ai/v1"
 
 export type XAIProviderOptionsInput = OpenAIOptionsInput & { readonly contextManagement?: never }
 
@@ -36,7 +37,7 @@ const responsesRoute = Route.make({
   provider: id,
   providerMetadataKey: "xai",
   protocol: XAIResponses.protocol,
-  endpoint: Endpoint.path("/responses", { baseURL }),
+  endpoint: Endpoint.path("/responses", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),
   transport: OpenResponsesChannel.transport({
     id: "openai-responses",
     name: "xAI Responses",
@@ -50,8 +51,8 @@ const chatRoute = Route.make({
   provider: id,
   providerMetadataKey: "xai",
   protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: OpenAICompatibleProfiles.profiles.xai.baseURL }),
+  transport: OpenAICompatibleChat.route.transport,
   headers: ({ request }): Record<string, string> =>
     request.promptCacheKey ? { "x-grok-conv-id": request.promptCacheKey } : {},
 })
@@ -61,19 +62,19 @@ export const routes = [responsesRoute, chatRoute]
 const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "XAI_API_KEY")
 
 const configuredResponsesRoute = (input: LanguageModelOptions) => {
-  const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
+  const { apiKey: _, auth: _auth, baseURL, ...rest } = input
   return responsesRoute.with({
     ...rest,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },
     auth: auth(input),
   })
 }
 
 const configuredChatRoute = (input: LanguageModelOptions) => {
-  const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
+  const { apiKey: _, auth: _auth, baseURL, ...rest } = input
   return chatRoute.with({
     ...rest,
-    endpoint: { baseURL: endpoint ?? baseURL },
+    endpoint: { baseURL: baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL },
     auth: auth(input),
   })
 }
@@ -87,7 +88,7 @@ export const configure = (input: LanguageModelOptions = {}) => {
     XAIImages.model({
       id: modelID,
       auth: auth(input),
-      baseURL: input.baseURL ?? baseURL,
+      baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,
       headers: input.headers,
       http: input.http === undefined ? undefined : HttpOptions.make(input.http),
     })

packages/ai/src/route/transport/websocket-channel.ts

@@ -20,7 +20,7 @@ export interface WebSocketChannelExchange {
   readonly connect: {
     readonly url: string
     readonly headers: Headers.Headers
-    /** Provider-safe connection age after which the channel executor should reconnect before sending. */
+    /** Provider-safe connection age after which Core should rotate before sending. */
     readonly rotateAfterMs?: number
   }
   readonly fallback: () => Stream.Stream<string, AIError>

packages/ai/src/schema/errors.ts

@@ -1,5 +1,5 @@
 import { Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import { ModelID, ProviderID, RouteID } from "./ids.js"
 
 export const ProviderFailureClassification = Schema.Literals(["context-overflow", "payload-too-large"])

packages/ai/src/schema/events.ts

@@ -1,5 +1,5 @@
 import { Schema } from "effect"
-import { LLM } from "@opencode/schema/llm"
+import { LLM } from "@opencode-ai/schema/llm"
 import { ContentBlockID, ToolCallID } from "./ids.js"
 import {
   Message,

packages/ai/src/schema/messages.ts

@@ -1,5 +1,5 @@
 import { Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import {
   CacheHint,
   CachePolicy,

packages/ai/src/tool.ts

@@ -1,5 +1,5 @@
 import { Effect, JsonSchema, Schema } from "effect"
-import { Tool } from "@opencode/schema/tool"
+import { Tool } from "@opencode-ai/schema/tool"
 import type {
   ToolCallPart,
   ToolDefinition as ToolDefinitionClass,

packages/ai/test/auth-options.types.ts

@@ -6,8 +6,7 @@ import * as AmazonBedrock from "../src/providers/amazon-bedrock.js"
 import * as Anthropic from "../src/providers/anthropic.js"
 import * as AnthropicCompatible from "../src/providers/anthropic-compatible.js"
 import * as Azure from "../src/providers/azure.js"
-import { CloudflareWorkersAI } from "../src/providers/cloudflare-workers-ai.js"
-import { DeepSeek } from "../src/providers/deepseek.js"
+import * as Cloudflare from "../src/providers/cloudflare.js"
 import * as Google from "../src/providers/google.js"
 import * as GoogleVertex from "../src/providers/google-vertex.js"
 import * as GoogleVertexChat from "../src/providers/google-vertex-chat.js"
@@ -264,10 +263,10 @@ XAI.configure({ apiKey: "xai-key" }).responses("grok-4", {})
 // @ts-expect-error xAI Chat selectors only accept model ids.
 XAI.configure({ apiKey: "xai-key" }).chat("grok-4", {})
 
-DeepSeek.configure({ apiKey: "deepseek-key" }).model("deepseek-chat")
+OpenAICompatible.deepseek.configure({ apiKey: "deepseek-key" }).model("deepseek-chat")
 // @ts-expect-error OpenAI-compatible family selectors only accept model ids.
-DeepSeek.configure({ apiKey: "deepseek-key" }).model("deepseek-chat", {})
+OpenAICompatible.deepseek.configure({ apiKey: "deepseek-key" }).model("deepseek-chat", {})
 
-CloudflareWorkersAI.configure({ accountId: "account", apiKey: "cf-key" }).model("@cf/meta/llama")
+Cloudflare.CloudflareWorkersAI.configure({ accountId: "account", apiKey: "cf-key" }).model("@cf/meta/llama")
 // @ts-expect-error Cloudflare Workers AI model selectors only accept model ids.
-CloudflareWorkersAI.configure({ accountId: "account", apiKey: "cf-key" }).model("@cf/meta/llama", {})
+Cloudflare.CloudflareWorkersAI.configure({ accountId: "account", apiKey: "cf-key" }).model("@cf/meta/llama", {})

packages/ai/test/exports.test.ts

@@ -1,18 +1,15 @@
 import { describe, expect, test } from "bun:test"
-import { AIError, ImageInput, LanguageModel, LLM, LLMClient, Provider } from "@opencode/ai"
-import { Route, Protocol, WebSocketTransport } from "@opencode/ai/route"
-import { Provider as ProviderSubpath } from "@opencode/ai/provider"
+import { AIError, ImageInput, LanguageModel, LLM, LLMClient, Provider } from "@opencode-ai/ai"
+import { Route, Protocol, WebSocketTransport } from "@opencode-ai/ai/route"
+import { Provider as ProviderSubpath } from "@opencode-ai/ai/provider"
 import {
-  Baseten,
   CloudflareAIGateway,
   CloudflareWorkersAI,
-  DeepSeek,
-  Fireworks,
   OpenAI,
   OpenAICompatible,
   OpenRouter,
   XAI,
-} from "@opencode/ai/providers"
+} from "@opencode-ai/ai/providers"
 import {
   OpenAIChat,
   OpenAICompatibleChat,
@@ -20,9 +17,9 @@ import {
   OpenAIResponses,
   OpenResponses,
   OpenResponsesChannel,
-} from "@opencode/ai/protocols"
-import * as AnthropicMessages from "@opencode/ai/protocols/anthropic-messages"
-import { TestLLM } from "@opencode/ai/testing"
+} from "@opencode-ai/ai/protocols"
+import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
+import { TestLLM } from "@opencode-ai/ai/testing"
 
 describe("public exports", () => {
   test("root exposes app-facing runtime APIs", () => {
@@ -46,18 +43,12 @@ describe("public exports", () => {
   })
 
   test("provider barrels expose user-facing facades", async () => {
-    const { OpenAICompatibleResponses } = await import("@opencode/ai/providers")
+    const { OpenAICompatibleResponses } = await import("@opencode-ai/ai/providers")
 
     expect(OpenAI.model).toBeFunction()
     expect(OpenAI.provider.responses).toBe(OpenAI.responses)
     expect(OpenAI.configure({ apiKey: "fixture" }).responses).toBeFunction()
-    for (const provider of [Baseten, DeepSeek, Fireworks]) {
-      expect(provider.configure).toBeFunction()
-      expect(provider.model).toBeFunction()
-    }
-    for (const name of ["baseten", "cerebras", "deepinfra", "deepseek", "fireworks", "groq", "togetherai"]) {
-      expect(OpenAICompatible).not.toHaveProperty(name)
-    }
+    expect(OpenAICompatible.deepseek.model).toBeFunction()
     expect(
       OpenAICompatibleResponses.configure({ baseURL: "https://responses.test/v1" }).model("fixture").route.id,
     ).toBe("openai-compatible-responses")

packages/ai/test/fixtures/recordings/meta-chat/continues-a-generated-tool-call.json

@@ -1,56 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-chat",
-      "provider:meta",
-      "protocol:openai-chat",
-      "tool",
-      "tool-loop",
-      "reasoning",
-      "usage",
-      "effort:low"
-    ],
-    "name": "meta-chat/continues-a-generated-tool-call",
-    "recordedAt": "2026-09-07T16:54:19.772Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"Look up the current weather in Paris using lookup_weather before answering. After receiving the result, report Paris's weather in one short sentence.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"auto\",\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cca-c092-7423-880d-204c05dc6645\",\"choices\":[{\"delta\":{\"content\":\"I'll look up the current weather in Paris now.\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800057,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c092-7423-880d-204c05dc6645\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"index\":0,\"id\":\"call_01a07ccac34671129bd9ef9a66fd3266\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"index\":0}],\"created\":1788800057,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c092-7423-880d-204c05dc6645\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},\"finish_reason\":null,\"index\":0}],\"created\":1788800057,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c092-7423-880d-204c05dc6645\",\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\",\"index\":0}],\"created\":1788800057,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":139,\"prompt_tokens\":570,\"total_tokens\":709,\"completion_tokens_details\":{\"reasoning_tokens\":70},\"prompt_tokens_details\":{\"cached_tokens\":497}}}\n\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"Look up the current weather in Paris using lookup_weather before answering. After receiving the result, report Paris's weather in one short sentence.\"},{\"role\":\"assistant\",\"content\":\"I'll look up the current weather in Paris now.\",\"tool_calls\":[{\"id\":\"call_01a07ccac34671129bd9ef9a66fd3266\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_01a07ccac34671129bd9ef9a66fd3266\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"auto\",\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cca-c622-77e3-8e2c-9c52bac9acb5\",\"choices\":[{\"delta\":{\"content\":\"Paris is currently sunny with a\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800058,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c622-77e3-8e2c-9c52bac9acb5\",\"choices\":[{\"delta\":{\"content\":\" temperature of 18°C\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800058,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c622-77e3-8e2c-9c52bac9acb5\",\"choices\":[{\"delta\":{\"content\":\".\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800058,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-c622-77e3-8e2c-9c52bac9acb5\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800058,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":91,\"prompt_tokens\":666,\"total_tokens\":757,\"completion_tokens_details\":{\"reasoning_tokens\":69},\"prompt_tokens_details\":{\"cached_tokens\":497}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-default-reasoning.json

@@ -1,37 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-chat",
-      "provider:meta",
-      "protocol:openai-chat",
-      "text",
-      "reasoning",
-      "usage",
-      "effort:default"
-    ],
-    "name": "meta-chat/streams-text-with-default-reasoning",
-    "recordedAt": "2026-09-07T16:55:12.540Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07ccb-8ae3-72b3-b321-b5163dda0714\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800109,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07ccb-8ae3-72b3-b321-b5163dda0714\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800109,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":363,\"prompt_tokens\":23,\"total_tokens\":386,\"completion_tokens_details\":{\"reasoning_tokens\":351},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-high-reasoning.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-chat", "provider:meta", "protocol:openai-chat", "text", "reasoning", "usage", "effort:high"],
-    "name": "meta-chat/streams-text-with-high-reasoning",
-    "recordedAt": "2026-09-07T16:53:30.276Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cc9-fe49-7773-b7f3-0be27454d3c3\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800007,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cc9-fe49-7773-b7f3-0be27454d3c3\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800007,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":324,\"prompt_tokens\":23,\"total_tokens\":347,\"completion_tokens_details\":{\"reasoning_tokens\":312},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-low-reasoning.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-chat", "provider:meta", "protocol:openai-chat", "text", "reasoning", "usage", "effort:low"],
-    "name": "meta-chat/streams-text-with-low-reasoning",
-    "recordedAt": "2026-09-07T16:53:23.751Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cc9-eb39-7ef3-b886-5d4215128b1d\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800002,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cc9-eb39-7ef3-b886-5d4215128b1d\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800002,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":157,\"prompt_tokens\":23,\"total_tokens\":180,\"completion_tokens_details\":{\"reasoning_tokens\":145},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-max-reasoning.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-chat", "provider:meta", "protocol:openai-chat", "text", "reasoning", "usage", "effort:max"],
-    "name": "meta-chat/streams-text-with-max-reasoning",
-    "recordedAt": "2026-09-07T16:53:33.749Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"max\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cca-10dd-7793-999d-e037320a91de\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800012,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-10dd-7793-999d-e037320a91de\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800012,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":195,\"prompt_tokens\":23,\"total_tokens\":218,\"completion_tokens_details\":{\"reasoning_tokens\":183},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-medium-reasoning.json

@@ -1,37 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-chat",
-      "provider:meta",
-      "protocol:openai-chat",
-      "text",
-      "reasoning",
-      "usage",
-      "effort:medium"
-    ],
-    "name": "meta-chat/streams-text-with-medium-reasoning",
-    "recordedAt": "2026-09-07T16:53:27.292Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cc9-f131-7fb0-8895-9f0c3e79220c\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800004,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cc9-f131-7fb0-8895-9f0c3e79220c\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800004,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":273,\"prompt_tokens\":23,\"total_tokens\":296,\"completion_tokens_details\":{\"reasoning_tokens\":261},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-minimal-reasoning.json

@@ -1,37 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-chat",
-      "provider:meta",
-      "protocol:openai-chat",
-      "text",
-      "reasoning",
-      "usage",
-      "effort:minimal"
-    ],
-    "name": "meta-chat/streams-text-with-minimal-reasoning",
-    "recordedAt": "2026-09-07T16:53:22.460Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cc9-e817-7bb1-8dc5-5197d9a4c73e\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800002,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cc9-e817-7bb1-8dc5-5197d9a4c73e\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800002,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":75,\"prompt_tokens\":23,\"total_tokens\":98,\"completion_tokens_details\":{\"reasoning_tokens\":63},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-chat/streams-text-with-xhigh-reasoning.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-chat", "provider:meta", "protocol:openai-chat", "text", "reasoning", "usage", "effort:xhigh"],
-    "name": "meta-chat/streams-text-with-xhigh-reasoning",
-    "recordedAt": "2026-09-07T16:53:32.103Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":1024}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-01a07cca-09de-7083-a0cc-2100de752456\",\"choices\":[{\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0}],\"created\":1788800010,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"chatcmpl-01a07cca-09de-7083-a0cc-2100de752456\",\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1788800010,\"model\":\"muse-spark-1.3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":253,\"prompt_tokens\":23,\"total_tokens\":276,\"completion_tokens_details\":{\"reasoning_tokens\":241},\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-messages/replays-encrypted-thinking-through-a-tool-loop.json

@@ -1,47 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "tool", "tool-loop", "reasoning"],
-    "name": "meta-messages/replays-encrypted-thinking-through-a-tool-loop",
-    "recordedAt": "2026-09-07T17:27:03.540Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e5a96d9a155dd4463b\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgGyJ4hIKk41uslnSV0PGvrTkwJ5D-t5skfjtkIt-ABXsehMcLKJJ8RJHRKW2-XhkpPrex0aOkIdqWl99vpCgtOHIFFaSc4b3oGxA8XDx4T_2aKANfYrR1DYwYzGe6ZZ-DQnU0bnpVUzCcXkghkLdyTcJr2p8cvVo1rymFpB0wZsbQRBhxCMR6PrY4i0aOTe8_waq_Po1a4l3YzKnzZIIvYP090o5kltv7MAwqChXjQeTJlKq7ECFa6HVeoTa43oiLmoD2Bzih0VfvBvQfbSh2uDypRM7-f65sp35-VuZfwsM33ZTvefzDbd8zd0D50I6wcybsj8gulDhWWpY7cxoN1Xasy-ImvisACGeppIN66maIFq5dMT2s8_CQ8a2EQ0hw9kwJaIiygZCdRofs-T1yaGWvnQxL6MpNh6SXux9T1ZfuexNrXOhz5cR3_s1euhq3-hI3GDCUDLAtkjiigSE3w6PExrwHTHnvkuAOTP0Lw7DH4NtKv-RFFeZaQOk_0Bi2EV43tR0Hq_chtEDiSpoezDjexPWfdZvhRIaO6PwyJaQ8jVOaLUr6bh6jQ3IM19lv6R7lY4Neno8fLxMwTbf7v7q02lfhOaZe3jR1fqOFUq8e4VXV76_rJBgzThqPNqO8OI_betgX5d2KMcwWAkaZjmrP3rxA7g5xp_Q7bkFiBaaTd3HbYIk_cKbtLOS6TIIphb4SX6ADA2qJ0zoo98P2NOceZODT2WrLjKCHl5dT6b9l2feH9m21pW576ULfKhVSMzuy0cmmWI7rv2P4q-2Fw2klsDVJAc6q22bFjfDgzhybKuhuM_p1SYb8aswNrgggV-cqHWDpF1FdVpL5fHMO74l1uD8Sj_9wuuD0asMQustuvsnYq2EdI0lLvONFMApWCU0s3QA8_P0Iyf0YoCZOm5QGnA7l3O5nAPkFF4kxLSsgRe9zuP6A4oKBDLN8EHwZ3pB4WZGWpUT12cJxplmT3_n8xKaMgaz13qs27uvUm3wMI1seyfpkMwUPHmt1ftpk9f_1OAg3fvQgIkWPTp6K9NzVzEry6SP7zbPfls8yn529Qrbki7ZM_oz3xEvDg367ZCe97eVnjiqRrYsYM2MmDsQq9lUwkgXb84kpK6a4pEzX9NDvhTqhw7RI6RL9E-2Ki4ciUfHv5LVTZ0rNweCo6SYXC11f8FCeObIW_Esr2mqYpORFS4SDMU-4I1HQfD9z6cPjL22APpv9a7Pp1phI8x_aQZkPU7LkyBWyVNDeusI7wq_LC0UgJ0vCAguKcAvN7gxwpCo5MEEZivRuYBldEMwRo4he2WQQke9KEokqREdlPF3Lvaav0fqPfXqhJyHAq8bYBHWdzMjDJ_dJwhdbLQ-iNLmrK5JNg2vPDglWSznBXbrSX4iyMFk1Ni2Y1SQUIOOxS_InIwCg\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"I'll look up the current weather in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"input\":{},\"name\":\"lookup_weather\",\"type\":\"tool_use\"},\"index\":2,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"input_json_delta\"},\"index\":2,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":2,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":113,\"input_tokens\":451,\"output_tokens\":155,\"output_tokens_details\":{\"thinking_tokens\":87}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgGyJ4hIKk41uslnSV0PGvrTkwJ5D-t5skfjtkIt-ABXsehMcLKJJ8RJHRKW2-XhkpPrex0aOkIdqWl99vpCgtOHIFFaSc4b3oGxA8XDx4T_2aKANfYrR1DYwYzGe6ZZ-DQnU0bnpVUzCcXkghkLdyTcJr2p8cvVo1rymFpB0wZsbQRBhxCMR6PrY4i0aOTe8_waq_Po1a4l3YzKnzZIIvYP090o5kltv7MAwqChXjQeTJlKq7ECFa6HVeoTa43oiLmoD2Bzih0VfvBvQfbSh2uDypRM7-f65sp35-VuZfwsM33ZTvefzDbd8zd0D50I6wcybsj8gulDhWWpY7cxoN1Xasy-ImvisACGeppIN66maIFq5dMT2s8_CQ8a2EQ0hw9kwJaIiygZCdRofs-T1yaGWvnQxL6MpNh6SXux9T1ZfuexNrXOhz5cR3_s1euhq3-hI3GDCUDLAtkjiigSE3w6PExrwHTHnvkuAOTP0Lw7DH4NtKv-RFFeZaQOk_0Bi2EV43tR0Hq_chtEDiSpoezDjexPWfdZvhRIaO6PwyJaQ8jVOaLUr6bh6jQ3IM19lv6R7lY4Neno8fLxMwTbf7v7q02lfhOaZe3jR1fqOFUq8e4VXV76_rJBgzThqPNqO8OI_betgX5d2KMcwWAkaZjmrP3rxA7g5xp_Q7bkFiBaaTd3HbYIk_cKbtLOS6TIIphb4SX6ADA2qJ0zoo98P2NOceZODT2WrLjKCHl5dT6b9l2feH9m21pW576ULfKhVSMzuy0cmmWI7rv2P4q-2Fw2klsDVJAc6q22bFjfDgzhybKuhuM_p1SYb8aswNrgggV-cqHWDpF1FdVpL5fHMO74l1uD8Sj_9wuuD0asMQustuvsnYq2EdI0lLvONFMApWCU0s3QA8_P0Iyf0YoCZOm5QGnA7l3O5nAPkFF4kxLSsgRe9zuP6A4oKBDLN8EHwZ3pB4WZGWpUT12cJxplmT3_n8xKaMgaz13qs27uvUm3wMI1seyfpkMwUPHmt1ftpk9f_1OAg3fvQgIkWPTp6K9NzVzEry6SP7zbPfls8yn529Qrbki7ZM_oz3xEvDg367ZCe97eVnjiqRrYsYM2MmDsQq9lUwkgXb84kpK6a4pEzX9NDvhTqhw7RI6RL9E-2Ki4ciUfHv5LVTZ0rNweCo6SYXC11f8FCeObIW_Esr2mqYpORFS4SDMU-4I1HQfD9z6cPjL22APpv9a7Pp1phI8x_aQZkPU7LkyBWyVNDeusI7wq_LC0UgJ0vCAguKcAvN7gxwpCo5MEEZivRuYBldEMwRo4he2WQQke9KEokqREdlPF3Lvaav0fqPfXqhJyHAq8bYBHWdzMjDJ_dJwhdbLQ-iNLmrK5JNg2vPDglWSznBXbrSX4iyMFk1Ni2Y1SQUIOOxS_InIwCg\"},{\"type\":\"text\",\"text\":\"I'll look up the current weather in Paris.\"},{\"type\":\"tool_use\",\"id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"name\":\"lookup_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e77f6ef36fdd8f4925\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgH-GUZkiqnb_seFaP70it_GxAEIUjt2BLllpyzfckiBOUVwr72xGQsSnj0y9aOhoaQ24A_HB0MHh4XWyYziVdRgq6lDPLHkJlmMzbusZxUZUx7D7B8kD8HrBbiTeIFbFlHaM9MiZW_PpYY9fpkdc7aeuX0mORdK8XTT3JPjvW1HPp4Qqp_iEOl9G2iM2Y6xno8SqeTcbc4EQs1LePaKrq86dBPmXBjkgQbYfvIw57o0SBEyelcudtnzJnaluOyOQdV2Ytk_r_xrYSCoBwgbf2KBCOFjdeQyruuwVZZ32JJdVOpWLw8eopUwAo2xYOZP0g8S8hTmOFvDKuzXipm1OoAXwD8Swm6ED3IIo0hHA5xSfMygDCee47nd-EpShNPamkCKodfX1QvePEJsIQK2iTgkh8IGUeEEne5dxgLuXvEAbeqGDvEy6T7IoSgZnc-KPtH6SoWM_kgc_eF_oN73Nxg2prMyCqTUNg5Qs2WLPjA9wSLmmnCoiDr1bYNIuQyn6adgv0-nZZXETJoRAHJBj65Asa8kbLyCYesb192178xCj2aBSdwyj-jc0i328sa9STS7mUSI7KvOt0Yi3kllLs1aSnHW-ogsUJUM7tTf83VO9fRRU_aW4H6qr4OAr8jbBKSD3bxE0AekDd24ZS-8YIjiP1tMOAPZ2JGQrNqbxnaeqhCZzD2nl-E8TMXaAJIk4L3oZtV80xJiUW7mLEf_jQBPAWhph4ujbkDaufGvNrl4FXyBJ-XpKMIA5z0jAYU2b3ul5-Qn5Km7Oc8fPu1M_0XGAOKG-pF9ppr4y-an4B4mKDYoAiSHp3cjv-fW57D87wBfQPaJRjOzWhzqENO-5MlB0CEsnDtrLveE2ui8wSECszParUNk5SEaeSYvrXLY0QkaE7CTK9ljwTKjJM34r1a8o16KFxGuzMrloNlxIYIaO_suM9CDuf8wNwe8KkAV2Kt28g9LwkL5b3mtI7ZSjTdHYOOhFFMzs-sjXboQoGAJGOhMnCQNc3E5-goSzvOzEIXehSTs8Mzyq8d3C2k5F9PSgdO6ZouHVURDgbEXTqWqoqjQ8huk5AbrUX16QwhJambd6P-3i--Idz9CbIVuWIqiMm80TvYlMttobYxTyFDIJrKJTrVA0PkAOFvOMfYt27d7z2ZMrTf6Vtm_DNniuhVbvVU3ZcWbb4LO-XkwH3bfHB-sckpwURP34KzOMvogaqWaMAZlabdd-lQKCc7tMhmo9BrYwHHvLxAELD2qQnyym43Yo1iJNAyrqoUAFk6K029fDon7h9ybmKZdBxRtS3arUesY_91Xep0tA0Y1UYUKo8zKjK3Op_DbVyC5OoR8rxpumKiqk2PtG7RPf-WjEXGkleGqZtxix7ILSkQXxW6McY1r_6LAh2Nv0nUzqS019tTb7mx2OLyt2g\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"It's sunny in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":210,\"output_tokens\":50,\"output_tokens_details\":{\"thinking_tokens\":35}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-messages/streams-text-with-adaptive-thinking.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "adaptive"],
-    "name": "meta-messages/streams-text-with-adaptive-thinking",
-    "recordedAt": "2026-09-07T17:26:18.565Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3b8e46a777cfdc94a93\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFtwwNGqSqKxPk9Zj-j9xogYigpDsDHrLKPV-DxmXcbhtXDPrGPuj5qB4l1FslhuEQFCA8zIRyNGaCmzM0JG4GOZe3LpFYM2iegBbi24l4V7souryAwUs_7PrInxObuguMwh2S66ML6PwlfVRVTAwPsgDSCl6Y9tkoDHr2KBRY2fzJhmjkotuFRK2LYvNp9pKi89JxnoIKK8B_UJc_B2r4vU_Txq9_rWTmo2eXFoGOSMZNaHpVrvACRQKC1jc6-8Pj5JkJN11_Cs2fHqlaCwOoPDVJxHXUXP1AMHU1mG0jR4qf9wUaz8kMmyCBBijlfQJ4G7nsQs7LJO9gS2ropmynDoO5IEIAFf7ekxLw54Fx3JigC0_qz4Jx4a04Ey8JBzWRlZNdqggpq2_I_VoT3S0zhCYDp8ZAJQs2JqvvF-ZmLcMPH1PmpkgRySqXl5TDxERIpdL3aOUzTl-PTHVMIGEcSAz84fFwU4p1kS5llGEGC6jHlClscEEto1Y-qthL6BoeDALzk7GHEMVQD0bfC4E5yGCh0_xlWqsG3XPj0wpYKBc0hfh7vjO1NpzPxCtaDjnRwR6TzSo6x_HrEL3VELArHhpYAXl30fNO-EepduZ3Hd_kWqWj_GhdIM4dRh2zoytbhIesVD7OvBqU47urKFnpXw4kswJ-NoVVNk00ysMMHwobT9BdJL9UCoXlNzyErPe8LkA9f0VrKkuLCg5FDr_DCEYXHXr7fdRmC3JTKuzvxffvPYppUt3hs5gbdXWgT2iZzunt4bSfFne7BPkj9OGREyfLcukvGAh_oqPLXuu0lert9wbTAqRUTyM5Y1nSjw3h2B3jv91mH78mGvhy8LeVNLkrSMxEa4GtrrUvlzkPnZayc_LE2Sr7JnQjhwylVNWvkcIAjstOZShjPKe4pUJwj-cUXmXZB7Zwr-Q9WLtprFgQoBvadd5DHD4aynsYEabKZVcOqhV8l2zyaUCGobUzdPqBC5kk5-VPmNTqm6Qs91mb1y_5ydmHjTWmSW6qtN_op-Xfwqr_hllvOjhnAvvDJWUOKH-YIgZw_k_db2mzW1hO093jSDMYv6wpiy_5XWMNJBjcH8hvR_pFjXIqScUnKPranEZvCyGfHR-UBNJ89s_JEE49chcIt8LiukBeXQ_TOe29kzWnT1tYtfGQXP8FY2Wukw5yhvP3coGp1-LPZRuw3BLP2tWmiijmyj5lMikp8MIeqOztN8zgsArZ9jq21EtDSNfpO_0C4GEOtCZQYvZHRpDeY966XDnN7Blenn_8FZ95M-M-1My8hsmF__JrnY4ZFZr2274f_FbyJaSqGj6H-YRuzawO2TVLWHxAr6v2LCiB_QX01PwUI1yaJmP0mI-Qz5zXgSHzfVzhF7l1zEnM8qIYcSXzD1Gp3rjpn2sq-rR-JLqeHq080Hl0X9c8lzozw3qCpvcTfA-4ZTdXU9ax3nt7emcPVFo9N_JBjYashC7KvjkIWjMhQoTbIRlO18gjEa-Dvtsmo4_xE1ApYRoylbhxg3_fQJjKLfCBv32V6BM8qWKINL7d1nYP7PtAKnglCdnT_dK0_pCK6ejGfmdWZgVj0DhVZUCXf2kN530Y0hoCb1jBgwJ16a5gUqJMtnWScarIGSVrsYMA_uEt7DwQzGYAGESVIgi8JVATkxoq4EbyOLCHX7MIKmAPGV2WWTjWAWLnE2ITjlXtBkUAwjq2v957BMgIqxSNxEjG75Gd0i1XjZAujCSCXMrywZ72-VdQy4cD6kzH9mv04fZ7_dqn9eKPHBY7_T7V6myRDj_ImkffXcygmd7F-_-kHMExI6ABas1WtfDjkYgbRM0jMtIHYL-W9xT8vCSLSdvHcb5Y8XSXT5GTwI7eIlBHnCvFrgunbCo9bJJlT2Gc1RcgeZ4rg3yu1MNF4Mfk6DBwDhduGh5l7nypL00B0HokLfF4H7N1oSKL9jdVE3oMyJuA9NV1SJiyqcneSVHBzqjFZ5sszFXPlBKEz31izxFToAF4tDYMR507zYLcxyLA4AmHlkmn0qeozPb5qk-qZB6yLywtewv8O1KqxieAEJnEmyiqGnoKBdkjpeYmplErSxJyzoRX4fXb9mOdb-izJgvqSQ5uLm0_EXf3OklpMoAJ2CPJ6cxpg_5bhiwbgEtafCuDyXVL9Zzi872yUb_Z-ATlqU1M2Ai67f1piHIUDzMn4kulXQhPMb_R4eznMbX_aRigQh92-t1USoFtX2vmyCUQageFcrHHK524gPQ7rkOfDvZ8GHPXi3YZFnzGkSKjQD0jumFtzDiRqYkkMECep0zgY8MjuWLMjlMuigpkzSm8GPZ2aFeIMxJCYR8iMf7fH9NyHAJnicx4wdW_UqqgY5jfVtDvPSL0SRScyyK0jNdmofDHjWp4Tehih5OOw81E3BYLCiIv2p2zTMRSTZxFyG3HI91tIEaJu_RnIMFxzCilaP1LcbMrjyFzBtLJiXXJ--eFYyIMYKgfbWIOTsjLLJGC8NS2wuzaXB-C6GLsuSEHci5a8f5KGqaXK99LvHtY4k36WhEoVUjQEGY7HNJrtdjBUlqDgnT9iO06gGd2QCGvlP4us-Z3q2Bcyhf0LzOgn_Bpjc6YBk4TNF1AMxG15qmhnsrWcGElkpk3Vh9npC8--vkvhh7pOPfTZlNjQQh900OemY9gwxHyCBbt1096g4qkYOntGJmw-wVjyWxOt9K9CaM9WxY3wFyOmwqiFL1PK4CMeKMZk54iZ1ZiyXDOvsO7qUa9XQGDy3W8ic6R3DUzdkxEEBFYHAjDy3qE\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":266,\"output_tokens_details\":{\"thinking_tokens\":254}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-messages/streams-text-with-enabled-thinking.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "enabled"],
-    "name": "meta-messages/streams-text-with-enabled-thinking",
-    "recordedAt": "2026-09-07T17:26:20.464Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.meta.ai/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3bbb7e691b3ea26427b\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgEpowvGua1C8z2RSICyyeSLruZ1JBUhrhLhgqf_XauiaESRHyHgIPVF0Cfxp7eLB_ESNObq7vJNDLdffE-RaN5nEauXhRxH6fJErC-4H_KELZFGF-qNnGu2DWl-gEojkwwkq1HtTtT3rOEk5isGjdribnDvR7a1zkpG3I0BxE_UyseISDSbkev5tyV7DkiH4xyv2ZmwuO3HHGgmAztEek9vm0ZTElZ8PIPvHG6P38aYGTGKrTjyOhmN3LBa_NFvtQQkUMKRB3n7L_N5KB1NbYkPzLEJ6L5dL9DJZBSsZms0O62QZ2zs2oWZ-ekQWL4oIuiRozWVpmwzjtkJl9WXtyvdL-4MACucXMSN9V7hWzC50g-DgdeFPSslsA9gy619wTNPPIxPymGWeD9LYKR3iwTRLNYzuycHakNqikhiwz9MweMod5GLTdbtypZJcV7ourz58jmK4YKsqleVPVvXM6bIoNuT2yGj23-tAYxQszGXQMHxSTnaLAHl6sUdiwTqX4wbFYfX-ogkIZsrca9mv5E2gkH1wJl19GPCxFaSDCHxh3QAW0RIExKUJly9Ydpoegmojfo0F4Hjt13zDm03fLEQ0eY8GjxIIHDt_zVRQGTW8d4tgZpTt4K9H1TTefG34EerN7jl7L-WNUe_gKorN4aSYBS6S6ma4Vb91NlUQ4cEGBKVQvumYe16p9Xj6Te-tCuiBmTOCq6iDsTH-eMlip_Bc18MD2BCGr2NdF4PB2vqHGSPIvSHDRXBjoPNtm18opAsUnOBu7-tysb8-EKFd5z7JbWgegQWNs11FdX0uFtC-U9ROwbHLJ3IHk4m2UHc2USwi7v4Xe6FtnkJ0VCZTajFUTXW33lwO3UsHuqEbxVnU_Rzuj6Ryjb08bpXpJBjIEGf2wBS3_I78cuXKOChHu-evtnjezc77joRUP8_I8pWsQbQ6bHABD95p8q6ZdQpDr9XQALbVg3ZvD5_QgF59rIxkW9a2L78oQpu0O3UT7-jxNFe38-OXuEr3VTv7RzISu1zjvBZD0k9-2q-T9BAJmsK6oPajJQWKwHBYF3w6vbsQ8tRDdh2uerhlAIWU0YL92gPCmT3mR6HxSGjAx08t-gib_YrzvWn0oTfLNk_BNfAMpG7Mj2GYNbyTkd_tjNZ2fOwVKbygsoFIUEvh2B-xyHOYuhXfxzI8-Gt55FMGDLLKcHfgmOZAUz1xVkIdm6bcuRFuQppgTzYIr66GN6tsr9KxTN2GZ2NHCwexe0hSAGfKVyLr8QBxTDRlzubBqe-osgQJrJtS7uM1MuWK_8grkZrNsn6g3ami0JboEmM_Ct3gVhkXo6lhCCcjn1gnGX-HOLczT3Xty1wYkeayUpi9x326nrSmypxzbzCRS3bOaPvSoBCszri0uTfUnVQK5kTVuRD30fGxauPhA\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":143,\"output_tokens_details\":{\"thinking_tokens\":131}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-chat/m3-streams-text-with-thinking-disabled.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-chat",
-      "provider:minimax",
-      "protocol:minimax-chat",
-      "text",
-      "usage",
-      "thinking-off"
-    ],
-    "name": "minimax-chat/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-07T16:53:20.976Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":1536,\"thinking\":{\"type\":\"disabled\"},\"reasoning_split\":true}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "data: {\"id\":\"d8d409a572a67df400527c6592b480df\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"}}],\"created\":1788800000,\"model\":\"MiniMax-M3\",\"object\":\"chat.completion.chunk\",\"usage\":null,\"service_tier\":\"standard\"}\n\ndata: {\"id\":\"d8d409a572a67df400527c6592b480df\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"378\",\"role\":\"assistant\"}}],\"created\":1788800000,\"model\":\"MiniMax-M3\",\"object\":\"chat.completion.chunk\",\"usage\":null,\"service_tier\":\"standard\"}\n\ndata: {\"id\":\"d8d409a572a67df400527c6592b480df\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"87\",\"role\":\"assistant\"}}],\"created\":1788800000,\"model\":\"MiniMax-M3\",\"object\":\"chat.completion.chunk\",\"usage\":null,\"service_tier\":\"standard\"}\n\ndata: {\"id\":\"d8d409a572a67df400527c6592b480df\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"delta\":{\"role\":\"assistant\"}}],\"created\":1788800000,\"model\":\"MiniMax-M3\",\"object\":\"chat.completion.chunk\",\"usage\":null,\"service_tier\":\"standard\"}\n\ndata: {\"id\":\"d8d409a572a67df400527c6592b480df\",\"choices\":[],\"created\":1788800000,\"model\":\"MiniMax-M3\",\"object\":\"chat.completion.chunk\",\"usage\":{\"total_tokens\":182,\"total_characters\":0,\"prompt_tokens\":179,\"completion_tokens\":3,\"prompt_tokens_details\":{\"cached_tokens\":128}},\"service_tier\":\"standard\",\"base_resp\":{\"status_code\":0,\"status_msg\":\"\"}}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-messages/m2-7-streams-default-thinking.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M2.7",
-    "tags": [
-      "prefix:minimax-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "text",
-      "usage",
-      "reasoning"
-    ],
-    "name": "minimax-messages/m2-7-streams-default-thinking",
-    "recordedAt": "2026-09-07T16:53:20.721Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"bd0c49bb4f5e6f26b77bab9b5a917484\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":57,\"output_tokens\":0}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\" So we compute 173 * 219. Compute:\\n\\n173 * 219 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 * (200 + 19) = 173*200 + 173*19 = 34600 + (173*19). 173*19 = 173*20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 = 3460 - 173 = 3287. So total = 34600 + 3287 = 37887.\\n\\nAlternatively compute directly: 219 * \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 = 219 * 173 = (219 * 100) + (219 * 70) + (219 * 3) = 21900 + 15330 + 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 37887.\\n\\nThus answer is 37887. We must reply with only the final integer: \\\"37887\\\". No extra text.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"1625da2f905565076ee90b9c2919db39b1719731c0820eca2f2a1c9c28324e87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":57,\"output_tokens\":187,\"output_tokens_details\":{\"thinking_tokens\":184}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking.json

@@ -1,56 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-loop",
-      "reasoning",
-      "continuation",
-      "usage"
-    ],
-    "name": "minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking",
-    "recordedAt": "2026-09-07T16:53:25.185Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6a532037868639a6189e7c0b9e1c9aa2\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report it\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in one short sentence\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":63,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":33}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report it in one short sentence. Let me call the tool.\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"},{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07cc9f2d47d83a6424ff3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"e9e7ea89f63eca1cd17a037aef28eed1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" with\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"°C.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":164,\"output_tokens\":16,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "tool",
-      "thinking-off",
-      "usage"
-    ],
-    "name": "minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off",
-    "recordedAt": "2026-09-07T16:53:24.366Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":512}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"a60a8adb2eff7545f809b9df2689f1b8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" look\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" up the current weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris for you\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_b0246853f3c4432ea455cc99\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":401,\"output_tokens\":39,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-messages/m3-streams-adaptive-thinking.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "text",
-      "usage",
-      "reasoning"
-    ],
-    "name": "minimax-messages/m3-streams-adaptive-thinking",
-    "recordedAt": "2026-09-07T16:53:16.470Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"ece24e3da050a8b1d7e8b1ad924a9e17\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" × 219\\n\\n\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 × 200\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 346\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"00\\n173 ×\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 19 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 × 20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 =\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 3460\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 =\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 3287\\n\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"34600 + \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"3287 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"37887\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"af0089d30b3ee7aff92a96e68064f4ed9346ca97de4f579555d2b3e1e61b53ea\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":64,\"output_tokens\":54,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":49}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-messages/m3-streams-text-with-thinking-disabled.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "text",
-      "usage",
-      "thinking-off"
-    ],
-    "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-07T16:53:16.028Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"01664c047875a0f573c966467c8cccc1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":51,\"output_tokens\":3,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/minimax-responses/m3-streams-text-with-effort-none.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:minimax-responses",
-      "provider:minimax",
-      "protocol:open-responses",
-      "text",
-      "usage",
-      "thinking-off"
-    ],
-    "name": "minimax-responses/m3-streams-text-with-effort-none",
-    "recordedAt": "2026-09-07T16:53:21.223Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/v1/responses",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"reasoning\":{\"effort\":\"none\"},\"max_output_tokens\":1536,\"stream\":true}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: response.created\ndata: {\"type\":\"response.created\",\"sequence_number\":0,\"response\":{\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0\",\"object\":\"response\",\"created_at\":1788800001,\"model\":\"MiniMax-M3\",\"status\":\"in_progress\",\"output\":[],\"output_text\":null,\"usage\":null,\"error\":null,\"incomplete_details\":null,\"instructions\":null,\"metadata\":{},\"tools\":null,\"tool_choice\":\"auto\",\"temperature\":1,\"top_p\":0.95,\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":{\"effort\":\"none\",\"summary\":null},\"max_output_tokens\":1536,\"parallel_tool_calls\":true,\"previous_response_id\":null,\"conversation\":null,\"store\":false,\"service_tier\":\"standard\",\"safety_identifier\":null,\"truncation\":\"disabled\"}}\n\nevent: response.in_progress\ndata: {\"type\":\"response.in_progress\",\"sequence_number\":1,\"response\":{\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0\",\"object\":\"response\",\"created_at\":1788800001,\"model\":\"MiniMax-M3\",\"status\":\"in_progress\",\"output\":[],\"output_text\":null,\"usage\":null,\"error\":null,\"incomplete_details\":null,\"instructions\":null,\"metadata\":{},\"tools\":null,\"tool_choice\":\"auto\",\"temperature\":1,\"top_p\":0.95,\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":{\"effort\":\"none\",\"summary\":null},\"max_output_tokens\":1536,\"parallel_tool_calls\":true,\"previous_response_id\":null,\"conversation\":null,\"store\":false,\"service_tier\":\"standard\",\"safety_identifier\":null,\"truncation\":\"disabled\"}}\n\nevent: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"sequence_number\":2,\"item\":{\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"type\":\"message\",\"status\":\"in_progress\",\"role\":\"assistant\",\"content\":[]},\"output_index\":0}\n\nevent: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"sequence_number\":3,\"part\":{\"type\":\"output_text\",\"text\":\"\",\"annotations\":[]},\"output_index\":0,\"content_index\":0,\"item_id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\"}\n\nevent: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"sequence_number\":4,\"output_index\":0,\"content_index\":0,\"item_id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"delta\":\"378\"}\n\nevent: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"sequence_number\":5,\"output_index\":0,\"content_index\":0,\"item_id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"delta\":\"87\"}\n\nevent: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"sequence_number\":6,\"output_index\":0,\"content_index\":0,\"item_id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"text\":\"37887\"}\n\nevent: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"sequence_number\":7,\"part\":{\"type\":\"output_text\",\"text\":\"37887\",\"annotations\":[]},\"output_index\":0,\"content_index\":0,\"item_id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\"}\n\nevent: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"sequence_number\":8,\"item\":{\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"37887\",\"annotations\":[]}],\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"type\":\"message\"},\"output_index\":0}\n\nevent: response.completed\ndata: {\"type\":\"response.completed\",\"sequence_number\":9,\"response\":{\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0\",\"object\":\"response\",\"created_at\":1788800001,\"model\":\"MiniMax-M3\",\"status\":\"completed\",\"output\":[{\"id\":\"40d878e9c7ecc67905d069cdf9bec7c0_msg\",\"type\":\"message\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"37887\",\"annotations\":null}]}],\"output_text\":\"37887\",\"usage\":{\"input_tokens\":179,\"output_tokens\":3,\"total_tokens\":182,\"input_tokens_details\":{\"cached_tokens\":128}},\"error\":null,\"incomplete_details\":null,\"instructions\":null,\"metadata\":{},\"tools\":null,\"tool_choice\":\"auto\",\"temperature\":1,\"top_p\":0.95,\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":{\"effort\":\"none\",\"summary\":null},\"max_output_tokens\":1536,\"parallel_tool_calls\":true,\"previous_response_id\":null,\"conversation\":null,\"store\":false,\"service_tier\":\"standard\",\"safety_identifier\":null,\"truncation\":\"disabled\"}}\n\n"
-      }
-    }
-  ]
-}