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feat(ai, adapters)!: chat({ reasoning }) with per-model levels in model-meta - #1692
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…elReasoning hook
- chat() takes reasoning: a level, or { level, summary?, budgetTokens? }.
Adapters declare each model's levels in '~types'.reasoning. With none,
the option is a type error.
- The engine normalizes it and passes it to the adapter as
options.reasoning. Middleware can change it in onConfig.
- supportedReasoningLevels, clampReasoningLevel, and resolveReasoning move
a level the model does not have to the nearest level it has.
- openai-base: a protected modelReasoning(model) hook. The Chat Completions
base sends reasoning_effort, the Responses base sends
reasoning: { effort, summary }.
…m its data
Provider packages keep each model's reasoning data in model-meta.ts. The
type gives the levels and the budget flag that chat({ reasoning }) takes.
- openaiText sends reasoning: { effort, summary }. openaiChatCompletions
sends reasoning_effort. The level is clamped to the model's levels.
- Each chat model's reasoning data is in model-meta.ts.
OpenAIModelReasoningByName and OPENAI_MODEL_REASONING are derived from it.
- BREAKING: reasoning is no longer in modelOptions of openaiText and
openaiChatCompletions. OpenAIReasoningOptions and
OpenAIReasoningOptionsWithConcise are removed. azureOpenaiText keeps
modelOptions.reasoning, because a deployment name is not a model id.
…odel
OpenAIModelReasoningByName holds { levels, budget } per model, derived from
the reasoning field. A class type with a computed reasoning type was
invariant in its model id.
- off: thinking disabled. - Budget models, or a request with budgetTokens: enabled thinking with the budget (a level table when none is set). - Claude 4.6 and later: adaptive thinking with the effort, as top-level effort on Claude 4.6 and output_config.effort on 4.7 and later. - Each model's reasoning data is in model-meta.ts. AnthropicModelReasoningByName and ANTHROPIC_MODEL_REASONING come from it. - The interleaved-thinking beta reads the built request. - BREAKING: thinking, effort, and output_config.effort are no longer in modelOptions. The thinking, effort, and output config option types are removed. The model sync stops writing them.
- Gemini 3 models: thinkingLevel from the level. - Gemini 2.5 models: thinkingBudget from budgetTokens, or a per-model table. off sends thinkingBudget: 0. summary sets includeThoughts. - The experimental Interactions adapter sends thinking_level and thinking_summaries. - Each chat model's reasoning data is in model-meta.ts. GeminiModelReasoningByName and GEMINI_MODEL_REASONING come from it. - BREAKING: thinkingConfig is no longer in the chat modelOptions, and GeminiThinkingOptions is removed. Image generation keeps its own thinkingConfig.
- Chat Completions and Responses: the openai-base hook sends the effort. - Converse, Claude only: budget thinking in additionalModelRequestFields with the interleaved-thinking beta, and maxTokens grows past the budget. A model with effort levels gets adaptive thinking with output_config.effort. off, and models that are not Claude, send nothing. - The reasoning data is in model-meta.ts, keyed by catalog id. BedrockModelReasoningByName and BEDROCK_MODEL_REASONING come from it. - BREAKING: reasoning_effort (Chat Completions) and reasoning (Responses) are no longer in modelOptions.
- chat: reasoning.effort, none for off. The chat request schema has no budget field, so the type takes no budgetTokens. - Responses: reasoning.effort, summary: 'auto' when the summary is on, and maxTokens when the request sets budgetTokens. - Each model's reasoning data is in model-meta.ts. OpenRouterModelReasoningByName and OPENROUTER_MODEL_REASONING come from it. scripts/convert-openrouter-models.ts writes them, and keeps the reasoning entries of the current file, because it does not read models.dev. - BREAKING: reasoning is no longer in modelOptions on both adapters, and ReasoningOptions is removed. The sync stops picking reasoning into the per-model options.
- Vercel AI Gateway chat: its reasoning object: { effort },
{ enabled: false } for off, { enabled: true, max_tokens } for a budget,
exclude: true when the summary is off.
- Vercel AI Gateway Responses, Lovable (both APIs), LLM Gateway: the
openai-base hook, so reasoning_effort or reasoning.effort. These types
take no budgetTokens.
- OpenCode: the per-model options in the server config: thinking with a
budget for Claude, reasoningEffort and reasoningSummary for other models.
- Each package keeps its reasoning data in model-meta.ts.
scripts/convert-vercel-gateway-models.ts writes the Vercel maps and keeps
the reasoning entries of the current file.
- BREAKING: reasoning, include_reasoning, and reasoning_effort are no
longer in modelOptions on Vercel AI Gateway, Lovable, and LLM Gateway.
- Mistral Small and Medium: reasoning_effort with the level's value, none for off. - Magistral: prompt_mode: 'reasoning', and nothing for off. - The streaming wire body sends both fields in snake_case. - Each chat model's reasoning data is in model-meta.ts. MistralModelReasoningByName and MISTRAL_MODEL_REASONING come from it.
- The adapter uses the openai-base Responses hook, so a model's level goes out as reasoning.effort with a summary. - Each chat model's reasoning data is in model-meta.ts. GrokModelReasoningByName and GROK_MODEL_REASONING come from it. grok-build-0.1 has no reasoning data, because the xAI API refuses the field for it. - BREAKING: reasoning is no longer in modelOptions. GrokReasoning, GrokReasoningEffort, and GrokBuildProviderOptions are removed.
- The openai-base hook sends reasoning_effort. Qwen 3 gets Groq's none and default values. - Each chat model's reasoning data is in model-meta.ts. GroqModelReasoningByName and GROQ_MODEL_REASONING come from it. - BREAKING: reasoning_effort is no longer in modelOptions. reasoning_format and include_reasoning stay: they pick the output format, not the effort.
- thinking.type, plus reasoning_effort when the level has an effort value.
off sends only thinking: { type: 'disabled' }, because Ark refuses an
effort next to it.
- Each chat model's reasoning data is in model-meta.ts.
BytePlusModelReasoningByName and BYTEPLUS_MODEL_REASONING come from it.
- BREAKING: thinking and reasoning_effort are no longer in modelOptions.
BytePlusThinkingOption and BytePlusReasoningEffort are removed.
- think: true or false for on/off models, the level name for gpt-oss. - A model name the package does not list gets the on/off toggle, so custom models keep a switch. A listed model with no reasoning data sends nothing. - The reasoning data sits on each model in its family meta file. OllamaModelReasoningByName and OLLAMA_MODEL_REASONING in model-meta.ts collect it. - BREAKING: think is no longer in modelOptions. The OllamaChatRequestThinking option types are removed from the model options.
- Effort models: --effort <level>. - Budget models (Haiku): MAX_THINKING_TOKENS, the budget, or 0 for off. - The reasoning data is in model-meta.ts, keyed by model id. ClaudeCodeModelReasoningByName and CLAUDE_CODE_MODEL_REASONING come from it.
- The model's effort for the level goes out as model_reasoning_effort. The modelReasoningEffort adapter config stays as the default for calls without reasoning. - The reasoning data is in model-meta.ts, keyed by model id. CodexModelReasoningByName and CODEX_MODEL_REASONING come from it. - BREAKING: modelReasoningEffort is no longer in modelOptions.
…_effort - The level's value goes out as reasoning_effort, null for off. - The reasoning data is in utils/models.ts, the package's model file. CloudflareModelReasoningByName and CLOUDFLARE_MODEL_REASONING come from it. - BREAKING: reasoning_effort is no longer in modelOptions. chat_template_kwargs stays: it picks the output format, not the effort.
- The examples, the e2e app, and the panel move their reasoning settings
out of modelOptions.
- The e2e reasoning feature, the OpenRouter reasoning wire route, and the
Claude Haiku 5.5 and Sonnet 5.5 wire routes use the new option.
- A new reasoning wire spec checks the OpenAI reasoning.effort, the
Anthropic budget thinking, and the Gemini thinkingConfig that
chat({ reasoning: 'medium' }) sends.
The code samples in the docs, the Anthropic README, and the ai-core skills move their reasoning fields out of modelOptions. The prose comes later.
… only The type is for adapter authors. It leaves the @tanstack/ai root export, and every adapter and generator imports it from @tanstack/ai/adapter-internals.
azureOpenaiText and createAzureOpenaiText read the OpenAI levels of the
model name through the modelReasoning hook, and send
reasoning: { effort, summary }. A deployment name that is not an OpenAI
model takes no reasoning.
BREAKING: reasoning is no longer in the Azure modelOptions.
It takes prompt_mode: 'reasoning', the same as Magistral Medium.
The Anthropic thinking section becomes a Reasoning section. The Gemini,
Codex, and OpenRouter pages, the BytePlus README, and the ai-core skill
references now describe chat({ reasoning }).
…er Reasoning sections - New docs/chat/reasoning.md: levels, the nearest-level rule, summary and budgetTokens, middleware, per-model types, and the client side. - New docs/migration/reasoning-option.md: the old modelOptions fields, adapter by adapter, with Azure and Chat Completions. - thinking-content.md: turn thinking on and hide it with summary: false. - A Reasoning section on each adapter page: the levels per model and the wire field. - extend-adapter.md and the community adapter guide: the reasoning field on the model meta, ModelReasoningCapability, the ByName and runtime maps, and the modelReasoning hook. - docs/config.json: the two new pages, and updatedAt on the changed pages.
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Inline comments:
Review comments at @docs/adapters/anthropic.md:
- Line 300: Clarify the `off` wire mapping so it applies only to models that
support disabling thinking, rather than implying it applies to `claude-fable-5`.
Update the sentence to state the nearest-level fallback for models that do not
support `off`, if documented by the surrounding table.
Review comments at @docs/chat/reasoning.md:
- Line 97: Clarify the default budget table in the “No budgetTokens?” guidance
as the shared default, and note that Gemini 2.5 uses model-specific budgets
instead. Include the Gemini 2.5 high-level values described in the review while
keeping the edit limited to this documentation statement.
Review comments at @packages/ai-anthropic/README.md:
- Around line 107-108: Update the Thinking section in the README to remove
references to output_config.effort and the manual thinking shape. Describe the
supported reasoning option using reasoning and budgetTokens, including the
existing max_tokens constraint and model-specific type rules.
Review comments at @packages/ai-grok/tests/grok-adapter.test.ts:
- Line 584: Replace the corrupted character in the comment near `test:types`
with a valid em dash or hyphen; leave the surrounding text unchanged.
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💤 Files with no reviewable changes (12)
- packages/ai-openrouter/src/text/responses-provider-options.ts
- packages/ai-openrouter/src/index.ts
- packages/ai-codex/src/provider-options.ts
- packages/ai-byteplus/src/index.ts
- packages/ai-bedrock/src/text/responses-provider-options.ts
- packages/ai-vercel-gateway/src/text/text-provider-options.ts
- packages/ai-llmgateway/src/text/text-provider-options.ts
- packages/ai-gemini/src/text/text-provider-options.ts
- packages/ai-openai/src/text/text-provider-options.ts
- packages/ai-lovable/src/text/text-provider-options.ts
- packages/ai-grok/src/text/text-provider-options.ts
- packages/ai-groq/src/text/text-provider-options.ts
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- anthropic.md: off applies only to models with an off level. Other models reject it in the types and move to their lowest level. - reasoning.md: the budget table is the shared default. Gemini 2.5 uses its own budgets. - The Anthropic README describes reasoning and budgetTokens. - grok-adapter.test.ts: replace a broken character with a hyphen.
* feat(ai): add chat({ toolChoice }) and a per-call toolChoice in onConfig
* feat: send chat({ toolChoice }) from the provider adapters
OpenAI-compatible adapters, Anthropic, Bedrock, Gemini, Grok, Mistral, and OpenRouter send toolChoice on the wire. A tool choice in modelOptions wins. Claude models that reject a forced tool, and Claude with thinking on, get auto. Bedrock Converse sends the tools with auto for none after a tool call.
* feat: the CLI-style adapters follow toolChoice where they can
Claude Code, Codex, OpenCode, Grok Build, and ACP bridge only the chat() tools that toolChoice allows: none for 'none', and only the named tool for a named choice. Claude Code also turns its built-in tools off for those values. A value that the agent cannot follow logs one warning for each adapter instance.
* chore: changesets for chat({ toolChoice })
* test(e2e): check that toolChoice reaches the wire
OpenAI runs the tool-choice feature through /api/chat and reads tool_choice from the aimock journal. Anthropic uses /api/tool-choice-wire, which captures the request: claude-sonnet-4-5 gets the named tool, and claude-opus-5-5 gets auto.
* docs: chat({ toolChoice })
Add Choose when the model calls a tool to the tools guide, Change the tool choice of a call to the middleware guide, a Tool choice section to the Claude Code, Codex, OpenCode, Grok Build, ACP-compatible, and Ollama pages, and fix the toolChoice row of the Vercel AI SDK migration.
* feat(ai): suggest the tool names in chat({ toolChoice })
ToolChoice takes an optional name type. In chat() options, { type: 'tool', name } offers the names of the tools array and still accepts any string, for provider tools and lazy tools.
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Make the reasoning map an allow-list The level rule is copied from pi (
Proposed: list only the levels a model has; anything missing is unsupported. reasoning: { levels: { off: 'none', low: 'low', medium: 'medium', high: 'high' }, budget: false }
Then define the handful of distinct shapes once per provider and reference them per model (OpenRouter has 325 entries but 34 shapes), and emit them that way from the two convert scripts. |
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It would be great to reduce the duplication in model-meta The reasoning data repeats in three layers. Counting the inline entries:
Suggested:
On weight: the maps are imported at runtime, so all of it loads. Bundling only the model-meta module with esbuild (minified), OpenRouter goes from 184 KB to 221 KB and Vercel Gateway from 8 KB to 32 KB. Gzip hides most of it (+2.9 KB and +1.4 KB), so this is mainly about source size, parse work and readability. |
One
reasoningoption onchat()now replaces each provider's own reasoning fields inmodelOptions. The levels are typed per model, so a level the model does not have is a type error. A level the model does not take at run time moves to the nearest level it has. This is breaking for 15 adapters, whose reasoning fields and types leavemodelOptions. The migration guide shows each one.This PR is split out of #1555. Unlike #1555, the per-model data lives on each model in
model-meta.ts, next tosupports.input. There are no separatemodel-reasoning.tsfiles.🎯 Changes
Core (
@tanstack/ai)chat({ reasoning })takes'off' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | 'max', or{ level, summary?, budgetTokens? }.onConfig.ModelReasoningCapability<T>(in@tanstack/ai/adapter-internals, for adapter authors) turns a model's data into its level union.openai-basegets amodelReasoning(model)hook for both base adapters.Data in
model-meta.tsreasoning: { map, budget }on its meta object.XxxModelReasoningByNameand a runtimeXXX_MODEL_REASONINGwithsatisfies. This is the same pattern asinputModalities(feat(ai): add runtime inputModalities to text adapters #1685).native-inserttest proves that a native sync keeps the maps.Wire mapping per adapter (details on each adapter page)
reasoning.effortandsummaryon Responses,reasoning_efforton Chat Completions.output_config.efforton 4.7 and later.thinkingLevelorthinkingBudget.Decisions to review
openaiChatCompletionsandazureOpenaiTextnow takereasoning. feat(ai, ai-harness): add the harness stack with coding tools, durable work, replay, and adapter parity #1555 did not have this for them, but this PR removes theirmodelOptions.reasoning, so they need a replacement.reasoning. That is mostly audio, search, and preview models:magistral-small-latestgot data by hand, the same asmagistral-medium.Not in this PR
openaiCompatiblequirks.reasoningoption, and model ids as any string.@tanstack/ai-modelscatalog.Callers on
mainthat moved to the new option: the examples (ts-react-chat, ts-solid-chat, subagents-persisted, ts-react-native-chat),testing/panel, E2E routes and specs, docs samples, and thepackages/ai/skillsreferences.Docs
chat/reasoning.md(server and client).migration/reasoning-option.md, with before and after for each adapter, including Azure and Chat Completions.chat/thinking-content.md.advanced/extend-adapter.md, and a new step 6 incommunity-adapters/guide.md.Changesets: 19 changesets, all minor. Each one has a Breaking line where it applies.
Size: 203 files.
model-meta.ts✅ Checklist
pnpm run test:pr, or these tests do not apply to this pull request.docs/for this change, or this change is not user-facing.pnpm changeset), or this PR does not change a published package.🚀 Release Impact
Testing
Commands run
vitest run(--maxWorkers=2),test:types, andtest:oxlintin all 19 changed packages. After the merge withmain(6aebc8fa):ai2130,openai-base290,ai-openai367,ai-anthropic224,ai-gemini388.tscis clean.scripts/model-synctests: 31 pass.pnpm test:docs: no broken links.kiira checkover all docs: 1747 snippets pass.tscontesting/e2e, the changed examples, and the panel: no errors in changed files.pnpm test:prand the E2E suite. CI runs them.Manual test
pnpm --dir packages/ai-anthropic exec vitest run, and read the reasoning tests. They coveroff, budget thinking withmax_tokens, 4.6 adaptive witheffort, and 4.7 and later withoutput_config.effort.chat({ adapter: anthropicText('claude-haiku-4-5'), messages, reasoning: 'max' }). Your editor marks'max'as an error. Change it to'high', and the error is gone.How this PR makes testing easy
@ts-expect-errorper adapter family for a level the model does not have.reasoning-wire.spec.ts. OpenAI and Anthropic capture the raw body withwrapFetch. For Gemini, a mount answers only for the expectedthinkingConfig. The Haiku 5.5, Sonnet 5.5, and OpenRouter reasoning specs are updated.Risk / rollback
modelOptionsstops compiling on 15 adapters. The fix is one line,reasoning: '<level>'. Seedocs/migration/reasoning-option.md.reasoninguntil its data is added.Public API change
Before
After
CI fix (
0e56f0f2). The first E2E run failed inreasoning-wire.spec.ts, in the Gemini case. The test askedgemini-2.5-flashformediumthrough an untypedReasoningRequest. That model takes onlyoffandhigh, so the level moved tohighand the request sent a budget of 24576, not 8192. The test now asks forhighwithbudgetTokens: 8192. A local server check of the built adapter showsthinkingConfig: { includeThoughts: true, thinkingBudget: 8192 }on the wire.Summary by CodeRabbit
reasoningoption to chat across supported AI providers, with model-specific levels and optional summaries or token budgets.toolChoiceto select automatic, disabled, required, or named-tool behavior. Support varies by provider, and some adapters may warn when a choice cannot be enforced.modelOptions; use the shared chat-level option instead.