Eval Protocol: RL on your agents, in any environment

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Eval Protocol (EP) is an open-source, language-agnostic framework for reinforcement fine-tuning (RL) on agents in production environments, not just academic "gyms." It focuses on a trace-first approach to evaluation, connecting your existing agent code, infrastructure (like Vercel, GitHub Actions), and trainers (rLLM, TRL, OpenAI RFT) with minimal friction.

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BlogsMuse Glimmer from Meta on Fireworks: Ideal for your Always-On AgentsFireworks BlogsIntroducing Llama 3.1 inference endpoints in partnership with MetaFireworks BlogsDistillation with Reasoning: Can DeepSeek R1 Teach Better Than Humans?Fireworks BlogsHow Fireworks evaluates quantization precisely and interpretablyFireworks BlogsFirefunction-v2: Function calling capability on par with GPT4o at 2.5x the speed and 10% of theFireworks BlogsDeepSeek V4 Pro: Tops SWE-Bench & Cuts Cost per Task by 3x vs. Fable 5Fireworks

ResearchA Guide to Extended Threat Detection and Response: What It Is and How to Choose the Best SolutionsCybersecurity Exchange BlogsMulti-Agent Collaboration on a Shared CanvasHoneycomb BlogsFast AI Feedback Loops with Honeycomb and OpenTelemetryHoneycomb BlogsHoneycomb Announces Availability of MCP in the New AWS Marketplace AI Agents and Tools CategoryHoneycomb Products & ServicesWhat is OKF? Understanding Google’s Open Knowledge FormatGitbook Blogsxpander.ai Brings AI Agents to Slack, With Neon Powering the Backend - NeonNeon BlogsWhat’s MCP all about? Comparing MCP with LLM function callingNeon BlogsWhere Agents Meet Infrastructure: Encore, Leap, and Neon - NeonNeon BlogsUsing Windsurf Cascade and Neon MCP for Agent-Driven Database Interaction - NeonNeon BlogsJust landed in the Neon CLI - NeonNeon Products & ServicesSpeech AI for Voice Agents | AssemblyAIAssemblyai BlogsReplit vs. Cursor: Which is best? [2026]Zapier BlogsHow Real Estate Agents Efficiently Manage New LeadsZapier BlogsAgentic RAG: A Practical Guide for EnterprisesCohere