“Python”

Python framework for live data processing and RAG pipelines that run on a Rust engine.

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

Runs open models locally or in the cloud, with a REST API and Python and JavaScript libraries.

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

Visual builder for automations and AI agents that connects 3,500+ apps and AI models, with an MCP server and custom JavaScript or Python code

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.

Web access API for AI agents with real-time search, extraction, crawling and research endpoints.

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 observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry

Auth and tool calling for AI agents: runs each user's OAuth flow and tool calls across 610 connectors.

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

Identity control plane for AI agents and workloads that replaces static secrets with short-lived, scoped access.

Serverless sandboxes that let agents run untrusted code with fast starts, snapshots and egress controls.

Instant Linux microVMs on Deno Deploy for running untrusted code, driven from an SDK.

Search API for AI agents over public web and private information, with a hosted MCP server.

Open-source framework to evaluate, test and monitor ML and LLM systems

Tracing, evaluation and monitoring for LLM apps and agents, with SDKs for several languages

Azure search service with full-text, vector, hybrid and multimodal retrieval for RAG and agents.