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Build LLM-powered agents
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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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AxAIRekaChatResponse

type AxAIRekaChatResponse = object;

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/reka/types.ts#L55

Properties

id

id: string;

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/reka/types.ts#L56

model

model: string;

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/reka/types.ts#L57

responses

responses: object[];

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/reka/types.ts#L58

finish_reason

finish_reason: "stop" | "length" | "context";

message

{
  content:   | string
     | {
     text: string;
     type: "text";
   };
}

usage?

optional usage: AxAIRekaUsage;

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/reka/types.ts#L69