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DSPy for TypeScript. Working with LLMs is complex—they don't always do what you want. DSPy makes it easier to build amazing things with LLMs. Just define your inputs and outputs (signature) and an efficient prompt is auto-generated and used. Connect together various signatures to build complex systems and workflows using LLMs.

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AxPreparedChatRequest

type AxPreparedChatRequest<TChatRequest> = object;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/ai/types.ts#L936

Result of preparing a chat request with context cache support.

Type Parameters

Type Parameter
TChatRequest

Properties

apiConfig

apiConfig: AxAPI;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/ai/types.ts#L938

API endpoint configuration

cachedContentName?

optional cachedContentName: string;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/ai/types.ts#L944

Cache name to use in the request (if using existing cache)

cacheOperations?

optional cacheOperations: AxContextCacheOperation[];

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/ai/types.ts#L942

Optional cache operations to execute before the main request

request

request: TChatRequest;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/ai/types.ts#L940

The prepared chat request