Streamline LLM Ops with AgentA
AgentA provides a comprehensive platform for managing and evaluating large language models (LLMs) through prompt management, LLM evaluation, and observability tools.
- •When you need to manage and optimize prompts for your LLM-based application
- •When evaluating the performance of different LLMs for your specific use case
- •When requiring detailed observability into your LLM's behavior and performance metrics
curl -X POST 'http://localhost:3000/prompt.playground' -H 'Content-Type: application/json' -d '{"prompt": "What is the capital of France?"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agenta && curl -fsSL https://workflowstacks.com/api/skills/agenta/claude-skill -o ~/.claude/skills/agenta/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Streamline LLM Ops with AgentA is a very large TypeScript project (~1.3M lines across 8400 code files, plus 2029 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3examples/javascript/evaluators/basic/default_preset.jsA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agenta && curl -fsSL https://workflowstacks.com/api/skills/agenta/claude-skill -o ~/.claude/skills/agenta/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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