Python AI agent with LangGraph project structure

Top level, at Growing

• .venvThe virtual environment uv creates from uv.lock.
• .langgraph_apiLocal data from `langgraph dev`: threads, runs and checkpoints of the in-memory server.
• langgraph.jsonTells the LangGraph CLI and server where your graphs are, what to install and which env file to load.
• pyproject.tomlPackage metadata, langgraph and python-dotenv dependencies, a dev group with the CLI, pytest, ruff and mypy.
• uv.lockExact versions of every package; the template ships one and uv keeps it current.
• .env.exampleVariables the app reads: LANGSMITH_PROJECT, model provider keys, API URLs.
• .envYour real keys, loaded by langgraph dev through "env" in langgraph.json.
• .gitignoreIgnores .env, .venv, caches and .langgraph_api.
• .codespellignoreWords the spell checker in CI should accept.
• MakefileTemplate targets: test, integration_tests, lint, format, spell_check.
• README.mdWhat the agent does, how to run it, and a Studio screenshot.
• LICENSEThe MIT licence from the template.
• staticImages for the README.
• srcThe src layout: importable code lives only here.
• testsUnit tests that never call a model, and integration tests that do.
• evalsOffline evaluations: datasets of conversations, evaluators, and the script that scores the graph.
• .vscodeShared editor settings for the team.
• scriptsSmall command-line helpers that are not part of the agent.
• .pre-commit-config.yamlHooks on every commit: ruff, ruff format, a secrets scan and a uv lock check.
• AGENTS.mdInstructions for coding agents: commands, where nodes and tools go, run evals before changing prompts.
• .githubCI from the template: unit tests on every push, integration tests on a schedule or by hand.