# Project Guide This guide is a practical map of the entire repository for contributors and maintainers. It focuses on: - What each folder is responsible for - Which Python environment and package workflow are the defaults - Which commands are currently valid - What to improve next in architecture, testing, performance, and developer experience ## 1) System Summary AI Imaging Agent is a RAG plus VLM recommender for imaging software. High-level flow: 1. User uploads file(s) and enters a task. 2. Retrieval stage finds candidate tools (BGE-M3 + FAISS + reranker). 3. Agent/VLM stage ranks candidates with image-aware reasoning. 4. UI renders ranked recommendations and optional demo links. Primary orchestrator: [src/ai_agent/api/pipeline.py](src/ai_agent/api/pipeline.py) ## 2) Default Python Environment And Packages (Dev Container Canonical) Assume development is done inside the dev container. Source of truth: - Dev container: [.devcontainer/devcontainer.json](../.devcontainer/devcontainer.json) - Package metadata and pinned dependencies: [pyproject.toml](../pyproject.toml) - Secondary dependency list: [requirements.txt](../requirements.txt) Default environment: - OS: Debian Bookworm (dev container) - Python: 3.12 - Environment manager: uv - Virtual environment path: .venv Recommended commands: ```bash uv venv uv pip install -e . uv pip install -e ".[dev]" ``` Run and test: ```bash ai_agent chat ai_agent sync pytest tests/ ``` Important note on command drift: - CLI officially supports `chat` and `sync` in [src/ai_agent/cli.py](../src/ai_agent/cli.py). - [justfile](../justfile) currently references `ai_agent ui`, which does not match current CLI modes. - Documentation in this guide follows the actual CLI implementation. ## 3) Repository Top-Level Map - [.github/](../.github/): automation and agent instructions - [.devcontainer/](../.devcontainer/): dev container build and editor defaults - [docs/](.): MkDocs source pages - [src/](../src/): application source code - [tests/](../tests/): test suite - [data/](../data/): sample data assets - [tools/](../tools/): container/tooling helpers - [CHANGELOG.md](../CHANGELOG.md): release history - [config.yaml](../config.yaml): model/provider configuration - [mkdocs.yml](../mkdocs.yml): docs site navigation and theme - [pyproject.toml](../pyproject.toml): package metadata, dependencies, entrypoints ## 4) Detailed Source Folder Responsibilities Package root: [src/ai_agent/](../src/ai_agent) ### 4.1 [src/ai_agent/agent/](../src/ai_agent/agent) Purpose: conversational orchestration using PydanticAI. Key files: - [src/ai_agent/agent/agent.py](../src/ai_agent/agent/agent.py): agent setup, tool wiring, response flow - [src/ai_agent/agent/models.py](../src/ai_agent/agent/models.py): state/output models - [src/ai_agent/agent/utils.py](../src/ai_agent/agent/utils.py): helper utilities and guardrails - [src/ai_agent/agent/tools/](../src/ai_agent/agent/tools): concrete tool implementations - [src/ai_agent/agent/tools/mcp/](../src/ai_agent/agent/tools/mcp): MCP adapters Boundary: - Should orchestrate tools and policy, not own retrieval internals. ### 4.2 [src/ai_agent/api/](../src/ai_agent/api) Purpose: pipeline orchestration between inputs, retrieval, and selection. Key file: - [src/ai_agent/api/pipeline.py](../src/ai_agent/api/pipeline.py) Responsibilities: - validate files - extract metadata - build retrieval query - call retrieval and selection stages - manage index refresh/reload behavior Boundary: - Keep UI concerns out of this module. ### 4.3 [src/ai_agent/retriever/](../src/ai_agent/retriever) Purpose: deterministic retrieval stack (no LLM calls). Key files: - [src/ai_agent/retriever/text_embedder.py](../src/ai_agent/retriever/text_embedder.py) - [src/ai_agent/retriever/vector_index.py](../src/ai_agent/retriever/vector_index.py) - [src/ai_agent/retriever/reranker.py](../src/ai_agent/retriever/reranker.py) - [src/ai_agent/retriever/software_doc.py](../src/ai_agent/retriever/software_doc.py) Boundary: - Retrieval quality logic should stay here. ### 4.4 [src/ai_agent/generator/](../src/ai_agent/generator) Purpose: selection schema and prompting primitives. Key files: - [src/ai_agent/generator/prompts.py](../src/ai_agent/generator/prompts.py) - [src/ai_agent/generator/schema.py](../src/ai_agent/generator/schema.py) Boundary: - Keep this layer focused on schema and prompt contracts, not transport/UI concerns. ### 4.5 [src/ai_agent/ui/](../src/ai_agent/ui) Purpose: Gradio app and interaction handling. Key files: - [src/ai_agent/ui/app.py](../src/ai_agent/ui/app.py) - [src/ai_agent/ui/handlers.py](../src/ai_agent/ui/handlers.py) - [src/ai_agent/ui/components.py](../src/ai_agent/ui/components.py) - [src/ai_agent/ui/formatters.py](../src/ai_agent/ui/formatters.py) - [src/ai_agent/ui/state.py](../src/ai_agent/ui/state.py) - [src/ai_agent/ui/visualizations.py](../src/ai_agent/ui/visualizations.py) Boundary: - UI should call orchestrators, not reimplement retrieval/selection decisions. ### 4.6 [src/ai_agent/utils/](../src/ai_agent/utils) Purpose: cross-cutting utility functions. Key files: - [src/ai_agent/utils/config.py](../src/ai_agent/utils/config.py) - [src/ai_agent/utils/file_validator.py](../src/ai_agent/utils/file_validator.py) - [src/ai_agent/utils/image_meta.py](../src/ai_agent/utils/image_meta.py) - [src/ai_agent/utils/image_io.py](../src/ai_agent/utils/image_io.py) - [src/ai_agent/utils/previews.py](../src/ai_agent/utils/previews.py) - [src/ai_agent/utils/tags.py](../src/ai_agent/utils/tags.py) - [src/ai_agent/utils/temp_file_manager.py](../src/ai_agent/utils/temp_file_manager.py) Boundary: - Keep utilities reusable and independent from UI-specific logic. ### 4.7 [src/ai_agent/catalog/](../src/ai_agent/catalog) Purpose: catalog synchronization and refresh helpers. Key file: - [src/ai_agent/catalog/sync.py](../src/ai_agent/catalog/sync.py) Boundary: - Catalog IO and sync logic should stay isolated from ranking logic. ### 4.8 [src/ai_agent/core/](../src/ai_agent/core) Purpose: shared core coordination such as pipeline registry. Key file: - [src/ai_agent/core/pipeline_registry.py](../src/ai_agent/core/pipeline_registry.py) Boundary: - Keep core primitives minimal and dependency-light. ### 4.9 [src/ai_agent/queries/](../src/ai_agent/queries) Purpose: query assets used by catalog sync/retrieval support. Key file: - [src/ai_agent/queries/get_relevant_software.rq](../src/ai_agent/queries/get_relevant_software.rq) Boundary: - Keep query definitions versioned and testable. ### 4.10 [src/ai_agent/cli.py](../src/ai_agent/cli.py) Purpose: command entry point and mode dispatch. Current modes: - `chat` - `sync` This is the command contract docs should follow. ## 5) Supporting Folders ### 5.1 [tests/](../tests) Contains unit/integration tests and test fixtures under [tests/data/](../tests/data). Improvement target: - add more focused tests for UI handler edge cases and tool failure handling. ### 5.2 [tools/](../tools) Container and deployment support assets. Notable file: - [tools/image/Dockerfile](../tools/image/Dockerfile) (uv + Python 3.12 baseline) ### 5.3 [docs/](.) Documentation source for MkDocs. Add new pages to [mkdocs.yml](../mkdocs.yml) nav to keep docs discoverable. ## 6) Known Inconsistencies To Track 1. [justfile](../justfile) uses `ai_agent ui`, while [src/ai_agent/cli.py](../src/ai_agent/cli.py) defines `chat` and `sync`. 2. Installation docs often show pip-first flow, while dev container bootstrap is uv-first. 3. [requirements.txt](../requirements.txt) is looser than [pyproject.toml](../pyproject.toml), which contains current pinned/runtime dependencies. ## 7) Codebase Improvement Guidelines ### 7.1 Architecture And Modularity 1. Keep strict stage boundaries: retrieval logic in `retriever`, selection contracts in `generator`, orchestration in `api`. 2. Minimize cross-layer imports from `ui` to low-level modules. 3. Introduce lightweight interface contracts for tool adapters to reduce coupling in `agent/tools`. 4. Centralize shared constants/env defaults to reduce duplicated configuration behavior. ### 7.2 Testing And Quality Gates 1. Add regression tests for format-token query construction and retry broadening behavior. 2. Add failure-path tests for image preview generation and graceful degradation. 3. Add contract tests for agent tool outputs (search, alternative search, repo info). 4. Enforce formatting/lint/type checks in CI (`ruff`, `black --check`, `mypy`, `pytest`). ### 7.3 Performance And Retrieval Quality 1. Add benchmark fixtures for retrieval latency and reranker throughput. 2. Track retrieval quality with a small fixed evaluation set (top-k recall, MRR). 3. Cache expensive metadata extraction where safe for repeated files in a session. 4. Make index reload behavior observable with structured counters in logs. ### 7.4 Developer Experience And CI 1. Align `just` tasks with real CLI contract (`chat`/`sync`). 2. Add a docs link checker in CI to prevent markdown drift. 3. Document one canonical local workflow (dev container first, optional local pip fallback). 4. Add a short maintainer checklist for release prep and changelog updates. ## 8) Practical Contributor Checklist Before opening a PR: 1. Install/update in editable mode in the active environment. 2. Run tests relevant to changed modules. 3. Validate docs links if docs were touched. 4. Update [CHANGELOG.md](../CHANGELOG.md) for user-visible changes. 5. Confirm command and environment docs still match real behavior. ## 9) Related References - [README.md](../README.md) - [docs/index.md](index.md) - [docs/architecture/overview.md](architecture/overview.md) - [docs/development/structure.md](development/structure.md) - [AGENTS.md](../AGENTS.md) - [.github/copilot-instructions.md](../.github/copilot-instructions.md)