fetchai/AEVS-sdk

Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.

State-Aware Collaboration Protocol: auditable work receipts for AI agents.

Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.

Audit trail database for AI agents. Tamper-evident, checksum-backed decision logs with session replay and time-travel debugging to support EU AI Act Article 12 record-keeping. Drift detection, MCP, Python & TypeScript SDKs. Self-host or cloud.

AI agent identity, signed credentials, delegated authority and portable governance evidence. Python core and offline verifier SDKs.

Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Observability for AI agents. See what your agent did, why it cost that much, and what to fix.

OpenTelemetry-native SDK for AI agent observability, tracing, evaluation, debugging, governance, and runtime policy enforcement. Framework-agnostic and built for OpenAI Agents, LangGraph, CrewAI, and LLM applications in production.