Documentation

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.

15+ LLM Providers
End-to-end Streaming
Auto Prompt Tuning
GitHub Stars NPM Package Twitter Follow

AxAIAnthropicThinkingConfig

type AxAIAnthropicThinkingConfig = object;

Defined in: https://github.com/ax-llm/ax/blob/be56d0cb4027af0a3a23d397cd01a57261e362d4/src/ax/ai/anthropic/types.ts#L29

Properties

budget_tokens

budget_tokens: number;

Defined in: https://github.com/ax-llm/ax/blob/be56d0cb4027af0a3a23d397cd01a57261e362d4/src/ax/ai/anthropic/types.ts#L31

includeThoughts?

optional includeThoughts: boolean;

Defined in: https://github.com/ax-llm/ax/blob/be56d0cb4027af0a3a23d397cd01a57261e362d4/src/ax/ai/anthropic/types.ts#L35

Optional: include provider thinking content in outputs

thinkingTokenBudget?

optional thinkingTokenBudget: number;

Defined in: https://github.com/ax-llm/ax/blob/be56d0cb4027af0a3a23d397cd01a57261e362d4/src/ax/ai/anthropic/types.ts#L33

Optional: numeric budget hint used in config normalization

type

type: "enabled";

Defined in: https://github.com/ax-llm/ax/blob/be56d0cb4027af0a3a23d397cd01a57261e362d4/src/ax/ai/anthropic/types.ts#L30