gepa-optimize-anything
by gepa-ai2 months ago6.7kAutomatically improve any text artifact that can be scored — prompts, programs/code, configs, specs, regex/SQL/schemas, agent scaffolds, or encoded search solutions — with optimize_anything, an LLM-driven optimization API: a search backend repeatedly proposes better versions from execution feedback and an evaluator you provide assigns the score (an objective metric or an LLM-as-judge for subjective tasks). optimize_anything is one interface across several optimizer backends — GEPA (reflective evolutionary search, the default), AutoResearch, MetaHarness — plus a best-of-N baseline: write the evaluator once and switch backend with a single argument. Use whenever a task needs auto-optimizing, tuning, or searching over text with any quality signal (accuracy, pass rate, latency, cost, judge rating); when building an evaluator + proposer loop; when running GEPA; or when comparing optimizers. The candidate can be any string an evaluator can grade, scored on one problem or generalized across many.
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Open your terminal
- Mac: Press ⌘ Space, type "Terminal", press Enter
- Windows: Press Win R, type "cmd", press Enter
Paste the command above and press Enter
Use the Copy command button, then paste in your terminal (Mac: ⌘V, Windows: Ctrl V).
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Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).