agents-towards-production
Provides step‑by‑step Jupyter notebooks and scripts to turn a prototype LLM agent into a production‑ready, containerized service.
- •You have a working LangChain/LlamaIndex agent prototype and need a reproducible deployment pipeline.
- •Your startup wants to expose an LLM‑driven assistant as an API behind authentication and scaling controls.
- •You need a reference implementation that shows how to add logging, monitoring, and CI/CD for GenAI agents.
python scripts/run_agent.py "Extract all action items from the attached PDF of our last board meeting and email them to the CFO."
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/agents-towards-production && curl -fsSL https://workflowstacks.com/api/skills/agents-towards-production/claude-skill -o ~/.claude/skills/agents-towards-production/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Agents-towards-production is mostly documents (32 doc files, 17 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, Other license.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/agents-towards-production && curl -fsSL https://workflowstacks.com/api/skills/agents-towards-production/claude-skill -o ~/.claude/skills/agents-towards-production/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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