“Python”

Python library and API that uses LLMs to extract structured data from websites and local documents.

Durable orchestration for data, ML and agent workflows, written as Python functions.

Open-source AI gateway with a Python SDK that calls 100+ LLM providers through the OpenAI format.

Durable serverless functions in TypeScript and Python, with retries, delays and event waits.

Observability platform for AI apps covering model calls, agent steps, API requests and database queries in one trace

Code execution API that lets LLM-generated code run in isolation and returns its output.

Global WebRTC infrastructure and SDKs for realtime voice and video, from the team behind Pipecat.

Search database for vector and full-text queries, built on object storage and available as a Python client.

Open-source Python library for evals, red teaming and test generation for agentic systems

Open-source observability for LLM applications, built on OpenTelemetry

Open-source infrastructure that runs AI-generated code in isolated cloud sandboxes.

Orchestration platform for AI agents, background tasks and durable workflows.

Observability and dev-tool platform for building, evaluating and monitoring AI agents

Open source vector database for AI apps, built on Postgres with pgvector and available self-hosted or managed.

Platform for developers of AI chatbots and LLM apps, covering monitoring, prompts and analytics

Cloud browsers and hosted browser agents that connect over CDP and get past bot checks.

Model router that predicts which LLM to call for each request, aimed at cutting coding-agent costs.