feat(core): add Poe browser OAuth

Add project and worktree navigation with restored search and selection, workspace-preserving targets, and optional worktree naming. Keep creation in the Ctrl+N footer and defer filesystem browsing.

.changeset/directory-page-heading.md

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

.github/workflows/deploy-files.yml

@@ -0,0 +1,34 @@
+name: deploy-files
+
+on:
+  push:
+    branches:
+      - dev
+      - v2
+  workflow_dispatch:
+
+concurrency:
+  group: deploy-files-${{ github.ref_name }}
+  cancel-in-progress: false
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
+
+      - uses: ./.github/actions/setup-bun
+
+      - name: Typecheck
+        working-directory: services/files
+        run: bun typecheck
+
+      - name: Deploy
+        working-directory: services/files
+        run: bun run deploy --env ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
+        env:
+          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

.github/workflows/deploy-www.yml

@@ -24,13 +24,13 @@ jobs:
       - uses: ./.github/actions/setup-bun
 
       - name: Build
-        working-directory: packages/www
+        working-directory: services/www
         run: bun run build
         env:
           CLOUDFLARE_ENV: ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
 
       - name: Deploy
-        working-directory: packages/www
+        working-directory: services/www
         run: bun run deploy
         env:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

.github/workflows/nix-hashes.yml

@@ -11,6 +11,7 @@ on:
       - "bun.lock"
       - "package.json"
       - "packages/*/package.json"
+      - "services/*/package.json"
       - "flake.lock"
       - "nix/node_modules.nix"
       - "nix/scripts/**"

.github/workflows/publish.yml

@@ -48,7 +48,7 @@ jobs:
 
       - name: Deploy update service
         if: github.ref_name == 'v2'
-        working-directory: packages/updates
+        working-directory: services/updates
         run: bun run deploy
         env:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
@@ -670,19 +670,6 @@ jobs:
           git config --global user.name "opencode"
           ssh-keyscan -H aur.archlinux.org >> ~/.ssh/known_hosts || true
 
-      - name: Upload desktop release assets
-        if: needs.version.outputs.release
-        env:
-          GH_TOKEN: ${{ steps.committer.outputs.token }}
-        run: |
-          shopt -s nullglob
-          files=(/tmp/desktop/*.{exe,blockmap,dmg,zip,AppImage,deb,rpm} /tmp/desktop/*.app.tar.gz)
-          if (( ${#files[@]} == 0 )); then
-            echo "No desktop release assets found"
-            exit 1
-          fi
-          gh release upload "v${{ needs.version.outputs.version }}" "${files[@]}" --clobber --repo "${{ needs.version.outputs.repo }}"
-
       - run: ./script/publish.ts
         env:
           OPENCODE_VERSION: ${{ needs.version.outputs.version }}
@@ -694,3 +681,6 @@ jobs:
           LATEST_YML_DIR: /tmp/latest-yml
           TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
           TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }}
+          OPENCODE_DESKTOP_DIST: /tmp/desktop
+          CLOUDFLARE_ACCOUNT_ID: 15d29c8639fd3733b1b5486a2acfd968
+          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

.github/workflows/test.yml

@@ -49,7 +49,7 @@ jobs:
             echo "app=true" >> "$GITHUB_OUTPUT"
             exit 0
           fi
-          bun x turbo@2.10.2 ls --affected --filter=@opencode-ai/app --output=json > affected.json
+          bun x turbo@2.10.2 ls --affected --filter=@opencode/app --output=json > affected.json
           bun -e 'const result = await Bun.file("affected.json").json(); console.log(`app=${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-ai/sdk
+            bun turbo verify:package --filter=@opencode/sdk
             exit 0
           fi
-          bun turbo verify:package --affected --filter=@opencode-ai/sdk
+          bun turbo verify:package --affected --filter=@opencode/sdk
         env:
           TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
           TURBO_SCM_HEAD: ${{ github.sha }}
@@ -173,7 +173,7 @@ jobs:
 
       - name: Check generated documentation
         if: runner.os == 'Linux'
-        working-directory: packages/www
+        working-directory: services/www
         run: bun run check:generated
 
   e2e:

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

@@ -1,5 +1,5 @@
 /// <reference path="../env.d.ts" />
-import { tool } from "@opencode-ai/plugin"
+import { tool } from "@opencode/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-ai/plugin"
+import { tool } from "@opencode/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-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 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 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-ai/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/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-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"]
+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"]
 
 [test]
 root = "./do-not-run-tests-from-root"

install

@@ -165,22 +165,30 @@ else
         exit 1
     fi
 
+    package_scope="@opencode"
     if [ -z "$requested_version" ]; then
-        metadata=$(curl -fsSL https://registry.npmjs.org/@opencode-ai%2fcli/beta || true)
+        metadata=$(curl -fsSL https://opencode.ai/update/api/beta/cli/npm || true)
         specific_version=$(echo "$metadata" | sed -n 's/.*"version":"\([^"]*\)".*/\1/p')
+        package=$(echo "$metadata" | sed -n 's/.*"package":"\([^"]*\)".*/\1/p')
 
-        if [ -z "$specific_version" ]; then
+        if [ -z "$specific_version" ] || [ -z "$package" ]; then
             echo -e "${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="@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)
+    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
     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-ai/", ""))')
+    cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode/", ""))')
     mkdir -p "$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": "sha256-7NBjLAaZRbirLuBJdQO9iwlonqUFKOkU8u6rh/e8Ij0=",
-    "aarch64-linux": "sha256-877mqEw+JGTTftYSWvHOsKnFRQ0B5umxY5xW31Rs+ms=",
-    "aarch64-darwin": "sha256-eaWQZfyQMefy5kn+Q9dAzOnXcwjwx7EEtDuzpocgHOQ=",
-    "x86_64-darwin": "sha256-mg+Sr8h7d2dmrnOfjiX/ktmA3wuBg/iGZv9ooFvlERc="
+    "x86_64-linux": "sha256-gW+1JbPQnt+PZzHfGijjnwch6X6pyaBnPTxAc47yiQw=",
+    "aarch64-linux": "sha256-qI6CtJkmh20ouWeiQRR1zp+YjHootkN23VFJCwqnf0A=",
+    "aarch64-darwin": "sha256-oyEhVcjbKq3+BCCxVBl0TZYmKJv1BBLWPVs0Vw6Fbac=",
+    "x86_64-darwin": "sha256-UhLZjG3NlkoXRWNn8SK/pLm5eDR3saU+TgEgfX592vQ="
   }
 }

nix/node_modules.nix

@@ -27,11 +27,12 @@ stdenvNoCC.mkDerivation {
     fileset = lib.fileset.intersection (lib.fileset.fromSource (lib.sources.cleanSource ../.)) (
       lib.fileset.unions [
         ../packages
+        ../services
         ../bun.lock
         ../package.json
         ../patches
         ../install # required by desktop build (cli.rs include_str!)
-        ../.github/TEAM_MEMBERS # required by @opencode-ai/script
+        ../.github/TEAM_MEMBERS # required by @opencode/script
       ]
     );
   };

package.json

@@ -13,7 +13,7 @@
     "dev:web": "bun --cwd packages/app dev",
     "dev:console": "ulimit -n 10240 2>/dev/null; bun run --cwd packages/console/app dev",
     "dev:stats": "bun sst shell --stage=production -- bun run --cwd packages/stats/app dev",
-    "dev:www": "bun run --cwd packages/www dev",
+    "dev:www": "bun run --cwd services/www dev",
     "dev:storybook": "bun --cwd packages/storybook storybook",
     "bench:devex": "bun run --cwd packages/app test:bench:devex",
     "lint": "oxlint",
@@ -34,6 +34,7 @@
   "workspaces": {
     "packages": [
       "packages/*",
+      "services/*",
       "packages/console/*",
       "packages/stats/*"
     ],
@@ -128,8 +129,8 @@
   },
   "dependencies": {
     "@aws-sdk/client-s3": "3.933.0",
-    "@opencode-ai/plugin": "workspace:*",
-    "@opencode-ai/script": "workspace:*",
+    "@opencode/plugin": "workspace:*",
+    "@opencode/script": "workspace:*",
     "heap-snapshot-toolkit": "1.1.3",
     "typescript": "catalog:"
   },

packages/ai/AGENTS.md

@@ -13,6 +13,7 @@
 Per-type constructors live on the type, not as top-level re-exports. Use `Message.system(...)`, `Message.user(...)`, `Message.assistant(...)`, `Message.tool(...)`, `LanguageModel.make(...)`, `ToolDefinition.make(...)`, `ToolCallPart.make(...)`, `ToolResultPart.make(...)`, `ToolChoice.make(...)`, `ToolChoice.named(...)`, `SystemPart.make(...)`, and `GenerationOptions.make(...)` directly. The top-level `LLM` namespace is reserved for request-shaped call APIs: `LLM.request`, `LLM.generate`, `LLM.stream`, and `LLM.generateObject`. Use `LLMRequest.update(...)` when deriving canonical request data; do not add a duplicate `LLM.updateRequest(...)` path. Two ways to construct the same thing is one too many.
 
 - Keep provider-defined string enums forward-compatible. Expose known values for autocomplete while accepting future values with `Known | (string & {})`; use `Schema.String` at runtime unless rejecting unknown values is required for correctness.
+- Order reasoning-effort values from lowest to highest: `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max`. Provider-specific subsets follow the same relative order in types, schemas, option lists, and tests.
 
 ## Tests
 
@@ -121,10 +122,10 @@ Keep provider facades small and explicit:
 
 ### Provider Package Entrypoints
 
-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.
+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.
 
 ```ts
-import { model } from "@opencode-ai/ai/providers/openai/responses"
+import { model } from "@opencode/ai/providers/openai/responses"
 
 const selected = model("gpt-5", {
   apiKey,

packages/ai/README.md

@@ -1,12 +1,12 @@
-# @opencode-ai/ai
+# @opencode/ai
 
 Schema-first language model and image-generation APIs built with Effect.
 
 ```ts
 import { Effect, Layer } from "effect"
-import { LLM, LLMClient } from "@opencode-ai/ai"
-import { RequestExecutor } from "@opencode-ai/ai/route"
-import { OpenAI } from "@opencode-ai/ai/providers"
+import { LLM, LLMClient } from "@opencode/ai"
+import { RequestExecutor } from "@opencode/ai/route"
+import { OpenAI } from "@opencode/ai/providers"
 
 const model = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
 
@@ -29,13 +29,251 @@ 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.
 
+## Z.AI
+
+`ZAI` uses the standard API. Chat Completions is the default language-model API;
+the existing `.image(...)` selector provides image generation.
+
+```ts
+import { LLM } from "@opencode/ai"
+import { ZAI, ZAICodingPlan } from "@opencode/ai/providers"
+
+const zai = ZAI.configure({ apiKey: process.env.ZAI_API_KEY })
+const request = LLM.request({
+  model: zai.model("glm-5.3"), // also zai.chat("glm-5.3")
+  prompt: "Explain this design.",
+  providerOptions: {
+    reasoningEffort: "high",
+    thinking: { type: "enabled", clear_thinking: false },
+  },
+})
+
+const coding = ZAICodingPlan.configure({ apiKey: process.env.ZAI_API_KEY })
+const messages = LLM.request({
+  model: coding.messages("glm-5.3"),
+  prompt: "Explain this design.",
+  providerOptions: { effort: "high" },
+})
+```
+
+The products have distinct provider identities and endpoints:
+
+| Provider                            | Selector                    | Default base URL                      |
+| ----------------------------------- | --------------------------- | ------------------------------------- |
+| `ZAI` (`zai`)                       | `.model`, `.chat`, `.image` | `https://api.z.ai/api/paas/v4`        |
+| `ZAICodingPlan` (`zai-coding-plan`) | `.model`, `.chat`           | `https://api.z.ai/api/coding/paas/v4` |
+| `ZAICodingPlan`                     | `.messages`                 | `https://api.z.ai/api/anthropic/v1`   |
+| `ZAICodingPlan`                     | `.responses`                | `https://api.z.ai/api/v1`             |
+
+Both read `ZAI_API_KEY` when `apiKey` is omitted and support an explicit `auth` override.
+Coding Plan requires an active subscription. `baseURL` overrides the selected API's
+complete base, including its version prefix. Language-model routes use HTTP/SSE.
+
+Options retain the selected API's native semantics:
+
+- Chat `reasoningEffort` lowers to `reasoning_effort`; Responses lowers it to `reasoning.effort`.
+  Messages `effort` lowers to `output_config.effort`. Omission preserves provider defaults.
+- Chat `thinking` passes `type` and `clear_thinking` through unchanged. Set
+  `clear_thinking: false` and replay complete `response.message` values to preserve reasoning
+  across user messages and tool loops. The standard API defaults to clearing historical thinking;
+  Coding Plan documents preservation by default.
+- Messages accepts `thinking: { type: "enabled" | "adaptive" | "disabled" }` without requiring
+  an Anthropic token budget. Coding Plan documents a disabled toggle as low-effort thinking
+  for GLM-5.3, with explicit effort taking precedence.
+- Chat also offers `toolStream`, `doSample`, `responseFormat`, `requestID`, and `userID`.
+  Tool-argument streaming is enabled when tools are present on GLM-4.6/4.7/5.x;
+  `toolStream: false` explicitly disables it. Older model families omit the opt-in.
+- Effort and thinking values remain forward-compatible strings. Their meaning is model-specific:
+  GLM-5.3 accepts `low`, `high`, and `max` effort and rejects disabled thinking with HTTP 400;
+  the direct GLM-5.2 recordings returned reasoning even with `none` and `minimal` effort,
+  whereas explicit `thinking.type: "disabled"` disabled it on GLM-5.2 and GLM-4.7.
+
+Standard API recordings cover GLM-5.3 efforts and a full preserved-reasoning tool loop with
+a subsequent user follow-up, GLM-5.2 efforts, older-model thinking toggles, GLM-4.5 tool calls,
+GLM-5.3-Flash image input, and JSON output. Coding Plan has unit coverage for routing,
+request options, and reasoning replay; successful live recordings are pending.
+
+Package entrypoints are `@opencode/ai/providers/zai`, `zai/chat`, `zai-coding-plan`,
+`zai-coding-plan/chat`, `zai-coding-plan/messages`, and `zai-coding-plan/responses`.
+
+## Moonshot
+
+Moonshot defaults to Chat Completions, with Messages and Responses selectors for Kimi K3:
+
+```ts
+import { LLM } from "@opencode/ai"
+import { Moonshot } from "@opencode/ai/providers"
+
+const moonshot = Moonshot.configure({ apiKey: process.env.MOONSHOT_API_KEY })
+
+const request = LLM.request({
+  model: moonshot.model("kimi-k3"), // also moonshot.chat("kimi-k3")
+  prompt: "Explain the tradeoffs in this design.",
+  providerOptions: { reasoningEffort: "high" },
+})
+
+const messages = LLM.request({
+  model: moonshot.messages("kimi-k3"),
+  prompt: "Explain the tradeoffs in this design.",
+  providerOptions: { effort: "high" },
+})
+
+const responses = LLM.request({
+  model: moonshot.responses("kimi-k3"),
+  prompt: "Explain the tradeoffs in this design.",
+  providerOptions: { reasoningEffort: "high" },
+})
+```
+
+When `apiKey` is omitted, authentication reads `MOONSHOT_API_KEY`, then `MOONSHOTAI_API_KEY`.
+Chat and Responses use `https://api.moonshot.ai/v1`; Messages uses
+`https://api.moonshot.ai/anthropic/v1`. `baseURL` overrides the selected API's complete base,
+including the version prefix, for regional endpoints or gateways. Each endpoint requires its own valid credentials.
+All three routes use HTTP/SSE.
+
+Reasoning options stay native to the selected API and model:
+
+| Model/API                   | Provider options                                                                        |
+| --------------------------- | --------------------------------------------------------------------------------------- |
+| K3 Chat / Responses         | `reasoningEffort: "low" \| "high" \| "max"`; default is `max`                           |
+| K3 Messages                 | `effort: "low" \| "high" \| "max"`; default is `max`                                    |
+| K2.6 Chat                   | `thinking: { type: "enabled" \| "disabled", keep?: "all" \| null }`; default is enabled |
+| K2.7 Code / high-speed Chat | Omit `thinking` to use always-on, preserved reasoning                                   |
+
+Omitting options preserves the model's defaults. K3 uses effort rather than the K2.x `thinking`
+parameter. Known effort values have autocomplete while future strings remain accepted.
+For K2.6, `thinking.keep: "all"` enables preservation of reasoning across user messages.
+K3 and both K2.7 Code variants always preserve reasoning. Continue with the returned
+`response.message` and matching tool results so reasoning content and any Messages signatures are retained.
+Leave sampling options such as `temperature` unset to use these models' fixed defaults.
+
+The recorded suite covers all three K3 APIs, default and explicit efforts, K2.6 thinking modes,
+both K2.7 Code variants, generated tool loops with a subsequent user follow-up, required/disabled
+tool choice, image-byte input, and native structured output through `http.body` overlays.
+K3 Chat and Messages accept required and disabled tool choice. Responses supports automatic tool
+choice only; explicit `required` and `none` produce a provider `InvalidRequest` error, also covered by recordings.
+The provider targets the Moonshot Open Platform; Kimi Code is a separate product and endpoint.
+
+Package entrypoints are `@opencode/ai/providers/moonshot`, `moonshot/chat`, `moonshot/messages`,
+and `moonshot/responses`; each exports `model(modelID, settings)`.
+
+## 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/ai"
-import { OpenAI } from "@opencode-ai/ai/providers"
+import { Image, ImageInput } from "@opencode/ai"
+import { OpenAI } from "@opencode/ai/providers"
 
 const program = Effect.gen(function* () {
   const response = yield* Image.generate({
@@ -131,7 +369,7 @@ yield *
 Google's current Gemini image models use the same direct API:
 
 ```ts
-import { Google } from "@opencode-ai/ai/providers"
+import { Google } from "@opencode/ai/providers"
 
 const googleProgram = Effect.gen(function* () {
   const response = yield* Image.generate({
@@ -207,12 +445,12 @@ The hosted result is represented as a provider-executed tool call and tool resul
 
 ## Testing
 
-Use the deterministic test client from `@opencode-ai/ai/testing` to script provider-neutral responses and inspect
+Use the deterministic test client from `@opencode/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/ai/testing"
+import { TestLLM } from "@opencode/ai/testing"
 
 const programWithTestClient = Effect.gen(function* () {
   const test = yield* TestLLM.Test
@@ -323,8 +561,8 @@ 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/ai"
-import { OpenAI } from "@opencode-ai/ai/providers"
+import { LLM, LLMClient, LLMRequest, Message } from "@opencode/ai"
+import { OpenAI } from "@opencode/ai/providers"
 
 const request = LLM.request({
   model: OpenAI.configure({ apiKey }).responses("gpt-5.3-codex"),
@@ -344,7 +582,7 @@ 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/ai"
+import { CompactionPart, ProviderID } from "@opencode/ai"
 
 CompactionPart.make({ provider: ProviderID.make("openai"), id: "cmp_123", encrypted: "..." })
 CompactionPart.make({ provider: ProviderID.make("anthropic"), text: "Summary of the conversation..." })
@@ -450,7 +688,7 @@ 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/ai/providers"
+import { OpenAI, CloudflareAIGateway } from "@opencode/ai/providers"
 
 const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
 const gateway = CloudflareAIGateway.configure({
@@ -464,7 +702,7 @@ Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazo
 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:
 
 ```ts
-import { DeepSeek, Fireworks } from "@opencode-ai/ai/providers"
+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")
@@ -474,10 +712,10 @@ The former `OpenAICompatible.baseten`, `.cerebras`, `.deepinfra`, `.deepseek`, `
 
 ### Provider entrypoints
 
-Provider modules are available through dedicated exports from `@opencode-ai/ai`. Each LLM entrypoint exports `model(modelID, settings)`, where `settings` contains provider configuration plus common `headers` and `body` overlays.
+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/ai/providers/openai/responses"
+import { model } from "@opencode/ai/providers/openai/responses"
 
 const selected = model("gpt-5", {
   apiKey: process.env.OPENAI_API_KEY,
@@ -487,14 +725,14 @@ const selected = model("gpt-5", {
 
 APIs have separate entrypoints:
 
-- `@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`
+- `@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`
 
 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.
 
@@ -503,36 +741,36 @@ 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/ai/providers/google-vertex/gemini"
+import { model } from "@opencode/ai/providers/google-vertex/gemini"
 
 model("gemini-3.5-flash", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/chat"
+import { model } from "@opencode/ai/providers/google-vertex/chat"
 
 model("deepseek-ai/deepseek-v3.2-maas", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/responses"
+import { model } from "@opencode/ai/providers/google-vertex/responses"
 
 model("xai/grok-4.20-reasoning", { project: "my-project", location: "global" })
 ```
 
 ```ts
-import { model } from "@opencode-ai/ai/providers/google-vertex/messages"
+import { model } from "@opencode/ai/providers/google-vertex/messages"
 
 model("claude-sonnet-4-6", { project: "my-project", location: "global" })
 ```
 
 Additional provider entrypoints include:
 
-- `@opencode-ai/ai/providers/baseten`
-- `@opencode-ai/ai/providers/deepseek`
-- `@opencode-ai/ai/providers/fireworks`
-- `@opencode-ai/ai/providers/cloudflare-ai-gateway`
-- `@opencode-ai/ai/providers/cloudflare-workers-ai`
+- `@opencode/ai/providers/baseten`
+- `@opencode/ai/providers/deepseek`
+- `@opencode/ai/providers/fireworks`
+- `@opencode/ai/providers/cloudflare-ai-gateway`
+- `@opencode/ai/providers/cloudflare-workers-ai`
 
 ## Provider options & HTTP overlays
 

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/ai"
-import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor } from "@opencode-ai/ai/route"
-import { OpenAI } from "@opencode-ai/ai/providers"
+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"
 
 /**
  * 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/ai",
+  "name": "@opencode/ai",
   "type": "module",
   "license": "MIT",
   "scripts": {
@@ -21,7 +21,7 @@
   "devDependencies": {
     "@clack/prompts": "1.0.0-alpha.1",
     "@effect/platform-node": "catalog:",
-    "@opencode-ai/http-recorder": "workspace:*",
+    "@opencode/http-recorder": "workspace:*",
     "@tsconfig/bun": "catalog:",
     "@types/bun": "catalog:",
     "@typescript/native-preview": "catalog:",
@@ -31,7 +31,7 @@
     "@aws-sdk/credential-providers": "3.1057.0",
     "@smithy/eventstream-codec": "4.2.14",
     "@smithy/util-utf8": "4.2.2",
-    "@opencode-ai/schema": "workspace:*",
+    "@opencode/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-ai/script"
+import { Script } from "@opencode/script"
 import { $ } from "bun"
 import { fileURLToPath } from "url"
 

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-ai/schema/tool"
+import { Tool } from "@opencode/schema/tool"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"

packages/ai/src/protocols/gemini.ts

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

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

@@ -0,0 +1,133 @@
+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

@@ -0,0 +1,52 @@
+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

@@ -0,0 +1,238 @@
+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/open-responses.ts

@@ -1,5 +1,5 @@
 import { Effect, Option, Schema } from "effect"
-import type { Content } from "@opencode-ai/schema/tool"
+import type { Content } from "@opencode/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-ai/schema/tool"
+import { Tool } from "@opencode/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-ai/schema/tool"
+import { Tool } from "@opencode/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/meta-image.ts

@@ -0,0 +1,11 @@
+// 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/protocols/zai-chat.ts

@@ -0,0 +1,75 @@
+import { Effect, Schema } from "effect"
+import { Protocol } from "../route/protocol.js"
+import type { LanguageModelCompatibility, LLMRequest } from "../schema/index.js"
+import { OpenAIChat } from "./openai-chat.js"
+import { ProviderShared } from "./shared.js"
+
+export type ReasoningEffort = "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max" | (string & {})
+
+export type OptionsInput = {
+  readonly reasoningEffort?: ReasoningEffort
+  readonly thinking?: {
+    readonly type?: "enabled" | "disabled" | (string & {})
+    /** False retains historical reasoning; omission preserves the endpoint's default. */
+    readonly clear_thinking?: boolean
+  }
+  readonly toolStream?: boolean
+  readonly doSample?: boolean
+  readonly responseFormat?: { readonly type: "text" | "json_object" | (string & {}) }
+  readonly requestID?: string
+  readonly userID?: string
+}
+
+const Options = Schema.Struct({
+  reasoningEffort: Schema.optional(Schema.String),
+  thinking: Schema.optional(
+    Schema.Struct({ type: Schema.optional(Schema.String), clear_thinking: Schema.optional(Schema.Boolean) }),
+  ),
+  toolStream: Schema.optional(Schema.Boolean),
+  doSample: Schema.optional(Schema.Boolean),
+  responseFormat: Schema.optional(Schema.Struct({ type: Schema.String })),
+  requestID: Schema.optional(Schema.String),
+  userID: Schema.optional(Schema.String),
+})
+
+const Body = Schema.Struct({
+  ...OpenAIChat.bodyFields,
+  thinking: Options.fields.thinking,
+  do_sample: Options.fields.doSample,
+  response_format: Options.fields.responseFormat,
+  request_id: Options.fields.requestID,
+  user_id: Options.fields.userID,
+})
+
+const fromRequest = Effect.fn("ZAIChat.fromRequest")(function* (request: LLMRequest) {
+  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
+  const body = yield* OpenAIChat.protocol.body.from(request)
+  return {
+    ...body,
+    thinking: options.thinking,
+    // Tool streaming was introduced in GLM-4.6; older models must not receive the opt-in.
+    tool_stream:
+      options.toolStream ??
+      (body.tools?.length && /^glm-(?:4\.[67]|5(?:[.-]|$))/i.test(request.model.id) ? true : undefined),
+    do_sample: options.doSample,
+    response_format: options.responseFormat,
+    request_id: options.requestID,
+    user_id: options.userID,
+  }
+})
+
+export const compatibility = {
+  maxTokensField: "max_tokens",
+  supportsStore: false,
+  supportsStrictMode: false,
+  reasoningField: "reasoning_content",
+  zaiToolStream: false,
+} satisfies LanguageModelCompatibility
+
+export const protocol = Protocol.make({
+  id: "zai-chat",
+  body: { schema: Body, from: fromRequest },
+  stream: OpenAIChat.protocol.stream,
+})
+
+export * as ZAIChat from "./zai-chat.js"

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

@@ -0,0 +1,39 @@
+import { Effect, Schema } from "effect"
+import { Protocol } from "../route/protocol.js"
+import { LLMRequest } from "../schema/index.js"
+import { AnthropicMessages } from "./anthropic-messages.js"
+import { ProviderShared } from "./shared.js"
+import type { ZAIChat } from "./zai-chat.js"
+
+export type OptionsInput = {
+  readonly effort?: ZAIChat.ReasoningEffort
+  readonly thinking?: { readonly type: "enabled" | "adaptive" | "disabled" | (string & {}) }
+}
+
+const Options = Schema.Struct({
+  effort: Schema.optional(Schema.String),
+  thinking: Schema.optional(Schema.Struct({ type: Schema.String })),
+})
+const Body = Schema.Struct({
+  ...AnthropicMessages.AnthropicMessagesBody.fields,
+  thinking: Options.fields.thinking,
+})
+
+const fromRequest = Effect.fn("ZAIMessages.fromRequest")(function* (request: LLMRequest) {
+  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
+  // Z.AI accepts enabled thinking without Anthropic's mandatory token budget.
+  const body = yield* AnthropicMessages.protocol.body.from(
+    LLMRequest.update(request, {
+      providerOptions: { ...request.providerOptions, thinking: undefined },
+    }),
+  )
+  return { ...body, thinking: options.thinking }
+})
+
+export const protocol = Protocol.make({
+  id: "zai-messages",
+  body: { schema: Body, from: fromRequest },
+  stream: AnthropicMessages.protocol.stream,
+})
+
+export * as ZAIMessages from "./zai-messages.js"

packages/ai/src/providers/index.ts

@@ -16,7 +16,10 @@ 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 Moonshot from "./moonshot.js"
 export * as OpenAI from "./openai.js"
 export * as OpenAICompatible from "./openai-compatible.js"
 export * as OpenAICompatibleResponses from "./openai-compatible-responses.js"
@@ -24,3 +27,4 @@ export * as OpenRouter from "./openrouter.js"
 export * as TogetherAI from "./togetherai.js"
 export * as XAI from "./xai.js"
 export * as ZAI from "./zai.js"
+export * as ZAICodingPlan from "./zai-coding-plan.js"

packages/ai/src/providers/meta.ts

@@ -0,0 +1,182 @@
+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

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

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

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

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

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

packages/ai/src/providers/minimax.ts

@@ -0,0 +1,144 @@
+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

@@ -0,0 +1,13 @@
+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

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

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

@@ -0,0 +1,16 @@
+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/moonshot.ts

@@ -0,0 +1,145 @@
+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("moonshotai")
+
+export type ReasoningEffort = "low" | "high" | "max" | (string & {})
+
+export type ChatOptionsInput = {
+  /** K3 always reasons; omitted effort uses the model's default. */
+  readonly reasoningEffort?: ReasoningEffort
+  /** K2.6 supports disabling thinking; K2.7 Code always thinks and preserves reasoning. */
+  readonly thinking?: {
+    readonly type: "enabled" | "disabled" | (string & {})
+    readonly keep?: "all" | (string & {}) | null
+  }
+}
+
+export type MessagesOptionsInput = {
+  readonly effort?: ReasoningEffort
+  readonly metadata?: AnthropicMessages.OptionsInput["metadata"]
+}
+
+export type ResponsesOptionsInput = {
+  readonly reasoningEffort?: ReasoningEffort
+  readonly safetyIdentifier?: string
+}
+
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    /** Overrides the selected API's base URL, including its version prefix. */
+    readonly baseURL?: string
+    readonly providerOptions?: ChatOptionsInput | MessagesOptionsInput | ResponsesOptionsInput
+  }
+
+export interface Settings<Options = ChatOptionsInput> extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: Options
+}
+
+const ChatOptions = Schema.Struct({
+  reasoningEffort: Schema.optional(Schema.String),
+  thinking: Schema.optional(
+    Schema.Struct({ type: Schema.String, keep: Schema.optional(Schema.NullOr(Schema.String)) }),
+  ),
+})
+
+const chatProtocol = Protocol.make({
+  id: "moonshot-chat",
+  body: {
+    schema: Schema.Struct({ ...OpenAIChat.bodyFields, thinking: ChatOptions.fields.thinking }),
+    from: Effect.fn("Moonshot.chatFromRequest")(function* (request: LLMRequest) {
+      const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(ChatOptions))(
+        request.providerOptions ?? {},
+      )
+      return { ...(yield* OpenAIChat.protocol.body.from(request)), thinking: options.thinking }
+    }),
+  },
+  stream: OpenAIChat.protocol.stream,
+})
+
+const chatRoute = Route.make({
+  id: "moonshot-chat",
+  provider: id,
+  providerMetadataKey: "moonshot",
+  protocol: chatProtocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.moonshot.ai/v1" }),
+  framing: OpenAIChat.framing,
+})
+
+const messagesRoute = Route.make({
+  id: "moonshot-messages",
+  provider: id,
+  providerMetadataKey: "moonshot",
+  protocol: AnthropicMessages.protocol,
+  endpoint: Endpoint.path("/messages", { baseURL: "https://api.moonshot.ai/anthropic/v1" }),
+  framing: AnthropicMessages.framing,
+})
+
+const responsesRoute = Route.make({
+  id: "moonshot-responses",
+  provider: id,
+  providerMetadataKey: "moonshot",
+  protocol: OpenResponses.protocol,
+  endpoint: Endpoint.path("/responses", { baseURL: "https://api.moonshot.ai/v1" }),
+  framing: Framing.sse,
+})
+
+export const routes = [chatRoute, messagesRoute, 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, ["MOONSHOT_API_KEY", "MOONSHOTAI_API_KEY"]),
+  }
+  const chat = (modelID: string | ModelID) =>
+    chatRoute.with(defaults).model<ChatOptionsInput>({
+      id: modelID,
+      compatibility: {
+        maxTokensField: "max_tokens",
+        supportsStore: false,
+        supportsStrictMode: false,
+        toolSchema: "moonshot",
+        reasoningField: "reasoning_content",
+      },
+    })
+  const messages = (modelID: string | ModelID) =>
+    messagesRoute.with(defaults).model<MessagesOptionsInput>({
+      id: modelID,
+      compatibility: { requireSignature: false, toolSchema: "moonshot" },
+    })
+  const responses = (modelID: string | ModelID) =>
+    responsesRoute
+      .with(defaults)
+      .model<ResponsesOptionsInput>({ id: modelID, compatibility: { toolSchema: "moonshot" } })
+  return { id, model: chat, chat, messages, responses, configure }
+}
+
+export const provider = configure()
+export const chat = provider.chat
+export const messages = provider.messages
+export const responses = provider.responses
+
+export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["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 * as Moonshot from "./moonshot.js"

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

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

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

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

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

@@ -0,0 +1,16 @@
+import type { ProviderPackage } from "../../provider-package.js"
+import { Moonshot } from "../moonshot.js"
+
+export type Settings = Moonshot.Settings<Moonshot.ResponsesOptionsInput>
+
+export const model: ProviderPackage.Definition<Settings, Moonshot.ResponsesOptionsInput>["model"] = (
+  modelID,
+  settings,
+) =>
+  Moonshot.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/zai-coding-plan.ts

@@ -0,0 +1,92 @@
+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 { ZAIChat } from "../protocols/zai-chat.js"
+import { ZAIMessages } from "../protocols/zai-messages.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 { ProviderID, type ModelID } from "../schema/index.js"
+
+export const id = ProviderID.make("zai-coding-plan")
+
+export type ChatOptionsInput = ZAIChat.OptionsInput
+export type MessagesOptionsInput = ZAIMessages.OptionsInput
+export type ResponsesOptionsInput = { readonly reasoningEffort?: ZAIChat.ReasoningEffort }
+
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    /** Overrides the selected API's complete base URL. */
+    readonly baseURL?: string
+    readonly providerOptions?: ChatOptionsInput | MessagesOptionsInput | ResponsesOptionsInput
+  }
+
+export interface Settings<Options = ChatOptionsInput> extends ProviderPackage.Settings {
+  readonly apiKey?: string
+  readonly baseURL?: string
+  readonly providerOptions?: Options
+}
+
+const chatRoute = Route.make({
+  id: "zai-coding-chat",
+  provider: id,
+  providerMetadataKey: "zai",
+  protocol: ZAIChat.protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.z.ai/api/coding/paas/v4" }),
+  framing: OpenAIChat.framing,
+})
+const messagesRoute = Route.make({
+  id: "zai-coding-messages",
+  provider: id,
+  providerMetadataKey: "zai",
+  protocol: ZAIMessages.protocol,
+  endpoint: Endpoint.path("/messages", { baseURL: "https://api.z.ai/api/anthropic/v1" }),
+  framing: AnthropicMessages.framing,
+  headers: () => ({ "anthropic-version": "2023-06-01" }),
+})
+const responsesRoute = Route.make({
+  id: "zai-coding-responses",
+  provider: id,
+  providerMetadataKey: "zai",
+  protocol: OpenResponses.protocol,
+  endpoint: Endpoint.path("/responses", { baseURL: "https://api.z.ai/api/v1" }),
+  framing: Framing.sse,
+})
+
+export const routes = [chatRoute, messagesRoute, 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, "ZAI_API_KEY"),
+  }
+  const chat = (modelID: string | ModelID) =>
+    chatRoute.with(defaults).model<ChatOptionsInput>({ id: modelID, compatibility: ZAIChat.compatibility })
+  const messages = (modelID: string | ModelID) =>
+    messagesRoute
+      .with(defaults)
+      .model<MessagesOptionsInput>({ id: modelID, compatibility: { requireSignature: false } })
+  const responses = (modelID: string | ModelID) =>
+    responsesRoute.with(defaults).model<ResponsesOptionsInput>({ id: modelID })
+  return { id, model: chat, chat, messages, responses, configure }
+}
+
+export const provider = configure()
+export const chat = provider.chat
+export const messages = provider.messages
+export const responses = provider.responses
+
+export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["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 * as ZAICodingPlan from "./zai-coding-plan.js"

packages/ai/src/providers/zai-coding-plan/chat.ts

@@ -0,0 +1 @@
+export { model, type Settings } from "../zai-coding-plan.js"

packages/ai/src/providers/zai-coding-plan/messages.ts

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

packages/ai/src/providers/zai-coding-plan/responses.ts

@@ -0,0 +1,16 @@
+import type { ProviderPackage } from "../../provider-package.js"
+import { ZAICodingPlan } from "../zai-coding-plan.js"
+
+export type Settings = ZAICodingPlan.Settings<ZAICodingPlan.ResponsesOptionsInput>
+
+export const model: ProviderPackage.Definition<Settings, ZAICodingPlan.ResponsesOptionsInput>["model"] = (
+  modelID,
+  settings,
+) =>
+  ZAICodingPlan.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/zai.ts

@@ -1,20 +1,53 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { ZAIChat } from "../protocols/zai-chat.js"
 import { ZAIImages } from "../protocols/zai-images.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 { HttpOptions, ProviderID, type ModelID } from "../schema/index.js"
 
 export const id = ProviderID.make("zai")
 
-export type Config = ProviderAuthOption<"optional"> & {
+export type ChatOptionsInput = ZAIChat.OptionsInput
+
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: ChatOptionsInput
+  }
+
+export interface Settings extends ProviderPackage.Settings {
+  readonly apiKey?: string
   readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions.Input
+  readonly providerOptions?: ChatOptionsInput
 }
 
 export type { ZAIImageOptions } from "../protocols/zai-images.js"
 
 const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "ZAI_API_KEY")
 
+const chatRoute = Route.make({
+  id: "zai-chat",
+  provider: id,
+  providerMetadataKey: "zai",
+  protocol: ZAIChat.protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.z.ai/api/paas/v4" }),
+  framing: OpenAIChat.framing,
+})
+
+export const routes = [chatRoute]
+
 export const configure = (input: Config = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...rest } = input
+  const chat = (modelID: string | ModelID) =>
+    chatRoute
+      .with({
+        ...rest,
+        endpoint: baseURL === undefined ? undefined : { baseURL },
+        auth: auth(input),
+      })
+      .model<ChatOptionsInput>({ id: modelID, compatibility: ZAIChat.compatibility })
   const image = (modelID: string | ModelID) =>
     ZAIImages.model({
       id: modelID,
@@ -26,6 +59,8 @@ export const configure = (input: Config = {}) => {
 
   return {
     id,
+    model: chat,
+    chat,
     image,
     configure,
   }
@@ -33,3 +68,15 @@ export const configure = (input: Config = {}) => {
 
 export const provider = configure()
 export const image = provider.image
+export const chat = provider.chat
+
+export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["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 * as ZAI from "./zai.js"

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

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

packages/ai/src/schema/errors.ts

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

packages/ai/src/tool.ts

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

packages/ai/test/exports.test.ts

@@ -1,7 +1,7 @@
 import { describe, expect, test } from "bun:test"
-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 { 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 {
   Baseten,
   CloudflareAIGateway,
@@ -12,7 +12,7 @@ import {
   OpenAICompatible,
   OpenRouter,
   XAI,
-} from "@opencode-ai/ai/providers"
+} from "@opencode/ai/providers"
 import {
   OpenAIChat,
   OpenAICompatibleChat,
@@ -20,9 +20,9 @@ import {
   OpenAIResponses,
   OpenResponses,
   OpenResponsesChannel,
-} from "@opencode-ai/ai/protocols"
-import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
-import { TestLLM } from "@opencode-ai/ai/testing"
+} from "@opencode/ai/protocols"
+import * as AnthropicMessages from "@opencode/ai/protocols/anthropic-messages"
+import { TestLLM } from "@opencode/ai/testing"
 
 describe("public exports", () => {
   test("root exposes app-facing runtime APIs", () => {
@@ -46,7 +46,7 @@ describe("public exports", () => {
   })
 
   test("provider barrels expose user-facing facades", async () => {
-    const { OpenAICompatibleResponses } = await import("@opencode-ai/ai/providers")
+    const { OpenAICompatibleResponses } = await import("@opencode/ai/providers")
 
     expect(OpenAI.model).toBeFunction()
     expect(OpenAI.provider.responses).toBe(OpenAI.responses)

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

@@ -0,0 +1,56 @@
+{
+  "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

@@ -0,0 +1,37 @@
+{
+  "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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,37 @@
+{
+  "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

@@ -0,0 +1,37 @@
+{
+  "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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,47 @@
+{
+  "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"
+        },
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.meta.ai/v1/messages",
+        "headers": {
+          "content-type": "application/json"
+        },
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+          "content-type": "text/event-stream"
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+      }
+    }
+  ]
+}

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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,29 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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

@@ -0,0 +1,56 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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

@@ -0,0 +1,36 @@
+{
+  "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"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/moonshot-chat/kimi-k2-6-streams-text-with-disabled-thinking.json

@@ -0,0 +1,29 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "kimi-k2.6",
+    "tags": ["prefix:moonshot-chat", "provider:moonshot", "protocol:moonshot-chat", "text", "usage", "thinking-off"],
+    "name": "moonshot-chat/kimi-k2-6-streams-text-with-disabled-thinking",
+    "recordedAt": "2026-09-07T20:35:09.335Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.moonshot.ai/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"kimi-k2.6\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"reasoning_content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"378\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"87\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[{\"index\":0,\"delta\":{},\"finish_reason\":\"stop\",\"usage\":{\"prompt_tokens\":23,\"completion_tokens\":5,\"total_tokens\":28,\"completion_tokens_details\":{\"reasoning_tokens\":1}}}],\"system_fingerprint\":\"fpv0_45f9e909\"}\n\ndata: {\"id\":\"chatcmpl-6a9f1ffd7d28eaca53fe9b4c\",\"object\":\"chat.completion.chunk\",\"created\":1788813309,\"model\":\"kimi-k2.6\",\"choices\":[],\"usage\":{\"prompt_tokens\":23,\"completion_tokens\":5,\"total_tokens\":28,\"completion_tokens_details\":{\"reasoning_tokens\":1}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}