This repository provides CoW Protocol Integration Documentation chat: a RAG-based Q&A for Order Book API, order creation, approvals, and errors (aligned with the CoW Grants RFP).

Planning: docs/COW_POC_PLAN.md, docs/COW_PROPOSAL_NEXT_PHASE.md.

CoW AI is a RAG chatbot that answers integration-focused questions about CoW Protocol using CoW docs and the Order Book OpenAPI spec. Stack: file-based docs + FAISS index, Gemini for embeddings and chat, no database.

• data/ – Raw and processed datasets (e.g. data/cow-docs/).
• pkg/ – Backend and RAG: cow-app (API), cow-brains (CoW RAG), rag-brains (shared RAG pipeline), cow-core (logging).
• scripts/ – Dataset and OpenAPI scripts, tests.
• www/ – Next.js frontend.

• Python 3.12+
• Poetry
• Node.js 20+
• Yarn

1. Clone and enter the repo:

   git clone https://github.com/bleu/cow-ai-tools.git
   cd cow-ai-tools

2. Install backend (from repo root, with Poetry in each package or use a venv and install from pkg/cow-app):

   cd pkg/cow-app && poetry install
   cd ../cow-brains && poetry install
   cd ../rag-brains && poetry install
   cd ../cow-core && poetry install

3. Install frontend:

   cd www && yarn install

From repo root:

bash scripts/test_cow_poc.sh

1. Create CoW docs artifact

   python scripts/cow-1-create-docs-dataset/main.py --output data/cow-docs/cow_docs.txt

2. (Optional) Fetch Order Book OpenAPI

   python scripts/cow-2-fetch-openapi/main.py --output data/cow-docs/openapi.yml

3. Build FAISS index (set GOOGLE_API_KEY)

   cd pkg/cow-app && OP_CHAT_BASE_PATH=../../data GOOGLE_API_KEY=... poetry run python -m cow_brains.build_faiss

4. Run the API

   cd pkg/cow-app && cp .envrc.example .envrc   # edit GOOGLE_API_KEY
   direnv allow   # or source .envrc
   poetry run uvicorn cow_app.api:app --host 0.0.0.0 --port 8000

   Or use the helper script from repo root: bash scripts/run-backend.sh (ensure PYTHONPATH includes pkg/cow-app:pkg/rag-brains:pkg/cow-brains:pkg/cow-core).

5. Run the frontend

   cd www && cp .envrc.example .envrc
   # Set NEXT_PUBLIC_CHAT_API_URL=http://localhost:8000/predict
   yarn dev

Golden questions: docs/cow_golden_questions.md. Evaluation: docs/cow_poc_evaluation.md. Quickstart: docs/cow_quickstart_first_order.md.

• Backend (Railway/Render): docs/deploy-backend-railway.md.
• Frontend + serverless API (Vercel): docs/deploy-vercel.md.

Open an issue on GitHub or contact the maintainers.