Evaluation Context Protocol
Vendor-neutral JSON-RPC protocol for portable AI agent evaluations.
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What is Evaluation Context Protocol?
Evaluation Context Protocol is a vendor-neutral JSON-RPC 2.0 protocol for evaluating AI agent outputs, tool calls, and audit context across frameworks and platforms. It enables portable evaluations that work with Python, LangChain, LlamaIndex, CrewAI, and PydanticAI, running locally or integrated into CI/CD pipelines to fail builds on evaluation regressions.
Evaluation Context Protocol pricing
Pricing model: Freemium
Evaluation Context Protocol pros
- Framework-agnostic: supports multiple agent frameworks and languages via JSON-RPC contract
- CI/build integration: evaluations exit non-zero on failure to prevent regressions
- Comprehensive evaluation: checks final output, tool calls, and evaluator-safe audit evidence
- Vendor-neutral protocol: portable across eval platforms and AI stacks
Evaluation Context Protocol cons
- Requires manifest/YAML configuration and understanding of protocol contract
- Limited documentation visible on landing page; adoption may require framework integration effort
- Relatively young project (v0.5.0) with unclear production maturity
Frequently asked questions about Evaluation Context Protocol
How does ECP differ from MCP?
MCP gives agents a common way to use tools. ECP gives evaluators a common way to inspect what an agent returned, what tools it used, and what audit evidence it exposed.
Can I use ECP in my CI/CD pipeline?
Yes, ecp run integrates into CI systems and exits non-zero on failure, allowing regressions to break the build.
What agent frameworks does ECP support?
ECP works with plain Python, LangChain, LlamaIndex, CrewAI, PydanticAI, and Streamable HTTP via its JSON-RPC contract.