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Beginner's Guide to Agent Evaluations
LangChain · agent evals, evals, tracing, reliability
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
8 matches for "agent evals"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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LangChain · agent evals, evals, tracing, reliability
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AI Engineer · agent evals, evals, benchmarks, reliability
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Databricks Events · agent evals, evals, ci, production
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Short course · DeepLearning.AI · Intermediate
You need to test, trace, and improve agent workflows instead of judging only single LLM responses.
agent evals, evals, agents, reliability, tracing
Model migration explainer · Anthropic · Intermediate to advanced
Anthropic released Claude Sonnet 5.5 on September 28, 2026. Use this guide to understand the efficiency claims, breaking API changes, and a safe migration test from Sonnet 5.
claude sonnet 5.5, claude code, coding agents, model migration, adaptive thinking
Reasoning-efficient coding model explainer · Fireworks AI · Intermediate to advanced
Fireworks released Ember-1 on September 23, 2026 as a Kimi K3-based model trained to use fewer reasoning tokens. Use this explainer to evaluate the quality, cost, latency, and context-growth claims on your own agent workload.
ember-1, kimi k3, reasoning models, reasoning tokens, cost optimization
Evaluation guide · OpenRouter · Intermediate to advanced
You want to turn real project prompts and data into repeatable cross-provider agent evals that check answers, tool calls, completion, latency, and cost, then rerun them in CI when models change.
openrouter, evals, model selection, coding agents, ci