Interface: TextOptions<TProviderOptionsSuperset, TProviderOptionsForModel>#

Defined in: packages/typescript/ai/src/types.ts:665

Options passed into the SDK and further piped to the AI provider.

Type Parameters#

TProviderOptionsSuperset#

TProviderOptionsSuperset extends Record<string, any> = Record<string, any>

TProviderOptionsForModel#

TProviderOptionsForModel = TProviderOptionsSuperset

Properties#

abortController?#

optional abortController: AbortController;

optional abortController: AbortController;

Defined in: packages/typescript/ai/src/types.ts:749

AbortController for request cancellation.

Allows you to cancel an in-progress request using an AbortController. Useful for implementing timeouts or user-initiated cancellations.

Example#

const abortController = new AbortController();
setTimeout(() => abortController.abort(), 5000); // Cancel after 5 seconds
await chat({ ..., abortController });

const abortController = new AbortController();
setTimeout(() => abortController.abort(), 5000); // Cancel after 5 seconds
await chat({ ..., abortController });

See#

https://developer.mozilla.org/en-US/docs/Web/API/AbortController

agentLoopStrategy?#

optional agentLoopStrategy: AgentLoopStrategy;

optional agentLoopStrategy: AgentLoopStrategy;

Defined in: packages/typescript/ai/src/types.ts:673

conversationId?#

optional conversationId: string;

optional conversationId: string;

Defined in: packages/typescript/ai/src/types.ts:735

Conversation ID for correlating client and server-side devtools events. When provided, server-side events will be linked to the client conversation in devtools.

logger#

logger: InternalLogger;

logger: InternalLogger;

Defined in: packages/typescript/ai/src/types.ts:756

Internal logger threaded from the chat entry point. Adapter implementations must call logger.request() before SDK calls, logger.provider() for each chunk received, and logger.errors() in catch blocks.

maxTokens?#

optional maxTokens: number;

optional maxTokens: number;

Defined in: packages/typescript/ai/src/types.ts:708

The maximum number of tokens to generate in the response.

Provider usage:

• OpenAI: max_output_tokens (number) - includes visible output and reasoning tokens
• Anthropic: max_tokens (number, required) - range x >= 1
• Gemini: generationConfig.maxOutputTokens (number)

messages#

messages: ModelMessage<
  | string
  | ContentPart<unknown, unknown, unknown, unknown, unknown>[]
  | null>[];

messages: ModelMessage<
  | string
  | ContentPart<unknown, unknown, unknown, unknown, unknown>[]
  | null>[];

Defined in: packages/typescript/ai/src/types.ts:670

metadata?#

optional metadata: Record<string, any>;

optional metadata: Record<string, any>;

Defined in: packages/typescript/ai/src/types.ts:719

Additional metadata to attach to the request. Can be used for tracking, debugging, or passing custom information. Structure and constraints vary by provider.

Provider usage:

• OpenAI: metadata (Record<string, string>) - max 16 key-value pairs, keys max 64 chars, values max 512 chars
• Anthropic: metadata (Record<string, any>) - includes optional user_id (max 256 chars)
• Gemini: Not directly available in TextProviderOptions

model#

model: string;

model: string;

Defined in: packages/typescript/ai/src/types.ts:669

modelOptions?#

optional modelOptions: TProviderOptionsForModel;

optional modelOptions: TProviderOptionsForModel;

Defined in: packages/typescript/ai/src/types.ts:720

outputSchema?#

optional outputSchema: SchemaInput;

optional outputSchema: SchemaInput;

Defined in: packages/typescript/ai/src/types.ts:730

Schema for structured output. When provided, the adapter should use the provider's native structured output API to ensure the response conforms to this schema. The schema will be converted to JSON Schema format before being sent to the provider. Supports any Standard JSON Schema compliant library (Zod, ArkType, Valibot, etc.).

request?#

optional request: Request | RequestInit;

optional request: Request | RequestInit;

Defined in: packages/typescript/ai/src/types.ts:721

runId?#

optional runId: string;

optional runId: string;

Defined in: packages/typescript/ai/src/types.ts:768

Run ID for AG-UI protocol run correlation. When provided, this will be used in RunStartedEvent and RunFinishedEvent. If not provided, a unique ID will be generated.

systemPrompts?#

optional systemPrompts: string[];

optional systemPrompts: string[];

Defined in: packages/typescript/ai/src/types.ts:672

temperature?#

optional temperature: number;

optional temperature: number;

Defined in: packages/typescript/ai/src/types.ts:686

Controls the randomness of the output. Higher values (e.g., 0.8) make output more random, lower values (e.g., 0.2) make it more focused and deterministic. Range: [0.0, 2.0]

Note: Generally recommended to use either temperature or topP, but not both.

Provider usage:

• OpenAI: temperature (number) - in text.top_p field
• Anthropic: temperature (number) - ranges from 0.0 to 1.0, default 1.0
• Gemini: generationConfig.temperature (number) - ranges from 0.0 to 2.0

threadId?#

optional threadId: string;

optional threadId: string;

Defined in: packages/typescript/ai/src/types.ts:762

Thread ID for AG-UI protocol run correlation. When provided, this will be used in RunStartedEvent and RunFinishedEvent.

tools?#

optional tools: Tool<any, any, any>[];

optional tools: Tool<any, any, any>[];

Defined in: packages/typescript/ai/src/types.ts:671

topP?#

optional topP: number;

optional topP: number;

Defined in: packages/typescript/ai/src/types.ts:699

Nucleus sampling parameter. An alternative to temperature sampling. The model considers the results of tokens with topP probability mass. For example, 0.1 means only tokens comprising the top 10% probability mass are considered.

Note: Generally recommended to use either temperature or topP, but not both.

Provider usage:

• OpenAI: text.top_p (number)
• Anthropic: top_p (number | null)
• Gemini: generationConfig.topP (number)