Michael Chihlas
b3be66652e
Widens AIProvider.generate_json / generate_text / generate_text_stream
signatures to accept `system_prompt: str | list[SystemBlock]`:
- `str` (the existing call shape): passes through uncached, unchanged
behavior. Every existing caller stays on the uncached path — no silent
behavior change.
- `list[SystemBlock]`: enables Anthropic prompt caching via structured
system blocks. Caller-authored `cache_control` is honored verbatim
(policy α); if no block carries it, the provider applies
`cache_control: {"type": "ephemeral"}` to the first block only.
Gemini ignores cache_control and concatenates list entries into one
system string — the widened signature is strictly additive on that path.
Adds `anthropic.cache` structured-log telemetry: on every Anthropic
response (streaming included, via `stream.get_final_message()`), logs
`cache_read_input_tokens` and `cache_creation_input_tokens`. Telemetry
failure in streaming is swallowed so the user-facing stream never breaks.
Verification deferred: cannot run from code-server (no Python, no DB,
no dev env). TODO(phase0-verify) left inline in the module docstring.
First verification task on the new dev environment is to hit any
FlowPilot endpoint twice within 5 minutes and confirm the second call
shows cache_read_input_tokens > 0 in the `anthropic.cache` log event.
If verification fails, that's a debug task on the new env — not a
blocker for continuing Phase 0.2/0.3/0.4.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Troubleshooting Decision Tree - Backend API
FastAPI backend for the Troubleshooting Decision Tree application.
Quick Start
1. Set up Python environment
cd backend
python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate
pip install -r requirements.txt
2. Start PostgreSQL database
Using Docker:
docker-compose up -d
Or install PostgreSQL locally and create a database:
CREATE DATABASE decision_tree;
3. Configure environment
Copy the example env file and update as needed:
cp .env.example .env
4. Run database migrations
alembic upgrade head
5. Start the server
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
The API will be available at:
- API: http://localhost:8000
- Docs: http://localhost:8000/api/docs
- ReDoc: http://localhost:8000/api/redoc
API Endpoints
Authentication
POST /api/v1/auth/register- Register new userPOST /api/v1/auth/login- Login (form data)POST /api/v1/auth/login/json- Login (JSON body)POST /api/v1/auth/refresh- Refresh tokenGET /api/v1/auth/me- Get current userPOST /api/v1/auth/logout- Logout
Trees
GET /api/v1/trees- List all treesGET /api/v1/trees/categories- List categoriesGET /api/v1/trees/search?q=query- Search treesGET /api/v1/trees/{id}- Get specific treePOST /api/v1/trees- Create tree (engineer/admin)PUT /api/v1/trees/{id}- Update tree (engineer/admin)DELETE /api/v1/trees/{id}- Delete tree (admin)
Sessions
GET /api/v1/sessions- List user's sessionsGET /api/v1/sessions/{id}- Get specific sessionPOST /api/v1/sessions- Start new sessionPUT /api/v1/sessions/{id}- Update sessionPOST /api/v1/sessions/{id}/complete- Complete sessionPOST /api/v1/sessions/{id}/export- Export session
Development
Create new migration
alembic revision --autogenerate -m "description"
Run migrations
alembic upgrade head
Rollback migration
alembic downgrade -1
Project Structure
backend/
├── alembic/ # Database migrations
│ └── versions/
├── app/
│ ├── api/
│ │ ├── endpoints/ # API route handlers
│ │ ├── deps.py # Dependencies (auth, etc.)
│ │ └── router.py # Main router
│ ├── core/
│ │ ├── config.py # Settings
│ │ ├── database.py # DB connection
│ │ └── security.py # JWT, password hashing
│ ├── models/ # SQLAlchemy models
│ ├── schemas/ # Pydantic schemas
│ └── main.py # FastAPI app
├── tests/
├── alembic.ini
├── docker-compose.yml
├── requirements.txt
└── README.md