The LLM Evaluation Framework
- evaluation-metrics
- evaluation-framework
- llm-evaluation
- llm-evaluation-framework
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The LLM Evaluation Framework
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
A collection of libraries to optimise AI model performances
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Official implementation of paper "Cache Engineering for Agents"
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Datalogger for MicroPython and CPython.
Autonomous multi-agent framework to optimize scientific software
MCP server for spatial transcriptomics analysis through natural language interfaces.