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Build LLM-powered agents
with production-ready TypeScript

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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axBuildActorDefinition

function axBuildActorDefinition(
   baseDefinition: undefined | string, 
   contextFields: readonly AxIField[], 
   responderOutputFields: readonly AxIField[], 
   options: Readonly<{
  maxLlmCalls?: number;
  maxTurns?: number;
  runtimeUsageInstructions?: string;
}>): string;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/prompts/rlm.ts#L81

Builds the Actor system prompt. The Actor is a code generation agent that decides what code to execute next based on the current state. It NEVER generates final answers directly.

Parameters

ParameterType
baseDefinitionundefined | string
contextFieldsreadonly AxIField[]
responderOutputFieldsreadonly AxIField[]
optionsReadonly<{ maxLlmCalls?: number; maxTurns?: number; runtimeUsageInstructions?: string; }>

Returns

string