use perplexity, parallel, google, x search whatever and build this in 5 minutes using DSPy+RLM (ax-agent) https://t.co/y45nH1PCrQ https://t.co/6YxKiaqHUb

Build Reliable AI Apps in TypeScript

Source: https://axllm.dev/

DSPy for TypeScript

Declare signatures, not prompts. Ax compiles type-safe inputs and outputs into optimized LLM calls — then chains them into agents, flows, and self-improving pipelines.

Auto-installs Claude & Codex skills

Why teams choose Ax

Built for production from day one

Simple & Powerful

Define what you want, not how to prompt for it

Three ways to define signatures

Quick string syntax, type-safe fluent builder, or your existing zod schemas — same pipeline, same retries, same type inference.

Ax Agent

DSPy + RLM agents thatactually work

Typed DSPy signatures, a secure JS runtime, and checkpointed context management — a full agent harness that keeps long-running loops stable without prompt bloat.

Prompt stays lean — across every turn

State lives in the JS runtime, not the LLM context

RLM

Production-ready from day one

Extensive test coverage, full OpenTelemetry integration, cost tracking, and enterprise-grade error handling — built in, not bolted on.

Explore telemetry & metrics

What’s in the box

Everything you need to build production AI applications

### AxGen The generator engine. Define signatures, get structured LLM outputs with streaming, assertions, and auto-retry.### AxAI 15+ LLM providers through one unified interface. OpenAI, Anthropic, Google, and more.### AxAgent Agents with tools, child agents, and ReAct loop machines for complex multi-step tasks.### AxAgent Optimize Tune agents with judges, eval datasets, and reusable optimized artifacts.### AxFlow Pipeline orchestration with auto-parallelism and DAG execution.### AxLearn Self-improving optimization with teacher-student training.### AxSignature Type-safe I/O schemas with validation constraints.### AxRAG Retrieval-augmented generation with built-in chunking and reranking.### DSPy Notebook Interactive playground to experiment with signatures and prompts live.

Declare capabilities, not prompts

Define your inputs and outputs with type-safe signatures. Ax generates the optimal prompt automatically.

One interface, every LLM

Switch providers with a single line. Your signatures work everywhere.

OpenAI

ai\(\{ name: 'openai' \}\)

Anthropic

ai\(\{ name: 'anthropic' \}\)

Google Gemini

ai\(\{ name: 'google\-gemini' \}\)

Ollama

ai\(\{ name: 'ollama' \}\)

Cohere

ai\(\{ name: 'cohere' \}\)

DeepSeek

ai\(\{ name: 'deepseek' \}\)

Together

ai\(\{ name: 'together' \}\)

Mistral

ai\(\{ name: 'mistral' \}\)

HuggingFace

ai\(\{ name: 'huggingface' \}\)

AWS Bedrock

new AxAIBedrock\(\{ region: 'us\-east\-2' \}\)

Rich type system

Type-safe signatures with automatic validation and retry on failure.

Connect AI to your database

GraphJincompiles GraphQL to efficient SQL and doubles as an MCP server — giving Claude Desktop and Ax agents direct, safe access to your data.

Connect GraphJin as an MCP tool inside Ax agents

Works withPostgreSQLMySQLSQLiteMongoDBOracleMSSQLSnowflake

Perplexity (@perplexity_ai): Introducing Search as Code, our new search architecture for AI agents.

It writes Python that calls our search stack directly, instead of looping through function calls one at a time.

Available in the Perplexity Agent API, and now default in Computer.