@tanstack/openai-base has 349,271 recorded weekly downloads on npm, an increase of 170% over the past 30 days, ranking #306 of 2,322 tracked listings.
About @tanstack/openai-base
@tanstack/openai-base
Shared base adapters for providers that drive the official openai SDK
against a different baseURL.
TL;DR
Several providers ship endpoints that the official openai Node SDK can
talk to verbatim — you just point it at a different baseURL. xAI's Grok
endpoint, Groq's /openai/v1 endpoint, and OpenAI itself all fall in this
camp. This package contains the shared logic for both wire formats those
endpoints expose:
OpenAIBaseChatCompletionsTextAdapter— for/v1/chat/completionsOpenAIBaseResponsesTextAdapter— for/v1/responses
Provider packages (@tanstack/ai-openai, @tanstack/ai-groq,
@tanstack/ai-grok) construct an OpenAI client with their own baseURL,
pass it to the relevant base adapter, and override a small set of
protected hooks for SDK-shape variance and provider-specific quirks.
Why this package exists
Every text adapter in TanStack AI — regardless of provider — emits
AG-UI events (RUN_STARTED,
TEXT_MESSAGE_*, TOOL_CALL_*, RUN_FINISHED, …) as its output stream.
That is the universal unification.
Input protocols differ. The OpenAI Chat Completions and Responses wire formats both have multiple implementers in the ecosystem, so it pays to write the streaming-chunk assembly, partial-JSON tool-arg buffering, tool-call deduplication, and structured-output coercion once and share it. That shared code lives here.
Providers whose native API doesn't match either OpenAI wire format
(Anthropic, Gemini, Ollama's native API, OpenRouter's own SDK) extend
BaseTextAdapter from @tanstack/ai directly — there's nothing to
share, so they don't pay the indirection cost.
What goes here vs. in @tanstack/ai-openai
Belongs in @tanstack/openai-base | Belongs in @tanstack/ai-openai |
|---|---|
| Logic for the Chat Completions wire format | OpenAI-specific tool types (web_search_preview, code_interpreter, local_shell, apply_patch, computer_use, mcp, …) |
| Logic for the Responses wire format | OpenAI model metadata, model lists, capability matrices |
| Streaming chunk assembly, AG-UI lifecycle, partial-JSON tool-arg buffering, tool-call deduplication | OpenAI-only request/response fields that no other consumer of the base sets |
| Schema converters and structured-output coercion that all consumers accept | OpenAI's media adapters (image/TTS/video/transcription) that Grok/Groq don't implement |
Rule of thumb: if a field would be useful to at least two of the
consuming packages (ai-openai, ai-grok, ai-groq), it belongs here.
Otherwise it belongs in the provider's own package, plumbed in via a
subclass override or a hook.
How providers extend the bases
The base constructor takes a pre-built OpenAI client. Subclasses
construct the SDK with their own baseURL (and any other client
options) and pass it to super:
class GrokTextAdapter extends OpenAIBaseChatCompletionsTextAdapter<…> {
constructor(config: GrokConfig, model: TModel) {
super(model, 'grok', new OpenAI(withGrokDefaults(config)))
}
}
Per-provider quirks are handled via protected hooks:
convertMessage,mapOptionsToRequest— bridge request-shape differences (extra fields, omitted fields, alternative encodings).extractReasoning— surface a provider's reasoning channel into the sharedREASONING_*AG-UI lifecycle.transformStructuredOutput,makeStructuredOutputCompatibleWithMap— adjust structured-output handling for provider quirks (e.g. Groq's schema-shape requirements).processStreamChunks— wrap the shared chunk processor for last-mile fixups (e.g. Groq'sx_groq.usage→chunk.usagepromotion).extractTextFromResponse— pull the assistant text out of the provider's non-streaming response shape.
Each provider typically overrides 2–6 hooks and inherits everything else.
Architecture
@tanstack/ai
└── BaseTextAdapter (abstract — emits AG-UI events)
│
├── @tanstack/openai-base::OpenAIBaseChatCompletionsTextAdapter
│ ├── ai-groq
│ └── ai-grok
│
├── @tanstack/openai-base::OpenAIBaseResponsesTextAdapter
│ └── ai-openai (Responses is OpenAI's preferred API)
│
├── ai-anthropic::AnthropicTextAdapter extends BaseTextAdapter directly
├── ai-gemini::GeminiTextAdapter extends BaseTextAdapter directly
├── ai-ollama::OllamaTextAdapter extends BaseTextAdapter directly
└── ai-openrouter (text + responses) extends BaseTextAdapter directly
(uses @openrouter/sdk natively)
Note: ai-openai ships only the Responses-based text adapter. For pure
Chat Completions use cases without OpenAI-specific behaviour, use
ai-grok or ai-groq, or build a new provider package extending
OpenAIBaseChatCompletionsTextAdapter.
Direct use…
Description from the npm listing.
- ai
- ai-sdk
- typescript
- tanstack
- openai
- adapter
- provider-adapter
- chat-completions
- responses-api
- structured-outputs
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Listing: https://www.npmjs.com/package/@tanstack/openai-base. First seen Oct 16, 2026; last successful collection Oct 20, 2026. See the methodology.