--- name: Integration Guide type: research typical_query_count: 3-5 expected_output_length: 1000-2000 words cascade_tier: groq_preferred description: > Step-by-step guide to wire a specific tool into an existing stack, complete with code samples, configuration, and testing steps. --- # Integration Guide: Wire {tool} into {stack} ## Context Integrate **{tool}** into our **{stack}** stack. The goal is to **{integration_goal}** (e.g., "add vector search to the dashboard", "send notifications via Telegram"). ## Constraints - Must follow existing project conventions (see CLAUDE.md). - No new cloud AI dependencies unless explicitly approved. - Environment config via `pydantic-settings` / `config.py`. ## Research Steps 1. Review {tool}'s official documentation for installation and setup. 2. Identify the minimal dependency set required. 3. Map {tool}'s API to our existing patterns (singletons, graceful degradation). 4. Write integration code with proper error handling. 5. Define configuration variables and their defaults. ## Output Format ### Prerequisites - Dependencies to install (with versions) - External services or accounts required - Environment variables to configure ### Configuration ```python # In config.py — add these fields to Settings: {config_fields} ``` ### Implementation ```python # {file_path} {implementation_code} ``` ### Graceful Degradation Describe how the integration behaves when {tool} is unavailable: | Scenario | Behavior | Log Level | |-----------------------|--------------------|-----------| | {tool} not installed | {fallback} | WARNING | | {tool} unreachable | {fallback} | WARNING | | Invalid credentials | {fallback} | ERROR | ### Testing ```python # tests/unit/test_{tool_snake}.py {test_code} ``` ### Verification Checklist - [ ] Dependency added to pyproject.toml - [ ] Config fields added with sensible defaults - [ ] Graceful degradation tested (service down) - [ ] Unit tests pass (`tox -e unit`) - [ ] No new linting errors (`tox -e lint`)