First slice of the Agent App type (新 Agent 作为独立 App 类型,替代 chatbot/agent-legacy/completion). Design: https://km.dify.langgenius.ai/wiki/spaces/DT/pages/460161070/Agent+App+Type * New ``AppMode.AGENT = "agent"`` (distinct from legacy ``agent-chat`` ReAct app). Runtime model/prompt/tools live in the bound Agent Soul, so the default template seeds no model_config. * Create flow: creating an Agent App also creates a roster Agent bound 1:1 via ``Agent.app_id`` (decision Q1), inside the same transaction so app + backing agent persist atomically. ``AgentRosterService.create_backing_agent_for_app`` builds the agent + a v1 (empty) Agent Soul snapshot without committing; the user configures model/prompt/tools afterward in the Composer. * ``App.bound_agent_id`` resolves the backing roster Agent from the app id (so the console can open the Composer in roster-detail mode); surfaced on the app detail response. Returns None for non-agent apps (short-circuits, no DB hit). * ``CreateAppParams`` / ``AppListParams`` accept "agent"; list filter handles it. Scope: S1 only (foundation). Runtime/preview, web/service API, access & sharing, logs and feature flags land in S2–S7 per the design. Tests: roster backing-agent build/link/get + enum/template/params/bound_agent_id short-circuit. 46 passing in app + agent service suites; ruff + pyrefly clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Dify Backend API
Setup and Run
Important
In the v1.3.0 release,
poetryhas been replaced withuvas the package manager for Dify API backend service.
uv and pnpm are required to run the setup and development commands below.
Using scripts (recommended)
The scripts resolve paths relative to their location, so you can run them from anywhere.
-
Run setup (copies env files and installs dependencies).
./dev/setup -
Review
api/.env,web/.env.local, anddocker/middleware.envvalues (see theSECRET_KEYnote below). -
Start middleware (PostgreSQL/Redis/Weaviate).
./dev/start-docker-compose -
Start backend (runs migrations first).
./dev/start-api -
Start Dify web service.
./dev/start-web./dev/setupand./dev/start-webinstall JavaScript dependencies through the repository root workspace, so you do not need a separatecd web && pnpm installstep. -
Set up your application by visiting
http://localhost:3000. -
Start the worker service (async and scheduler tasks, runs from
api)../dev/start-worker -
Optional: start Celery Beat (scheduled tasks).
./dev/start-beat
Environment notes
Important
When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the site’s top-level domain (e.g.,
example.com). The frontend and backend must be under the same top-level domain in order to share authentication cookies.
-
Generate a
SECRET_KEYin the.envfile.bash for Linux
sed -i "/^SECRET_KEY=/c\\SECRET_KEY=$(openssl rand -base64 42)" .envbash for Mac
secret_key=$(openssl rand -base64 42) sed -i '' "/^SECRET_KEY=/c\\ SECRET_KEY=${secret_key}" .env
Testing
-
Install dependencies for both the backend and the test environment
cd api uv sync --group dev -
Run the tests locally with mocked system environment variables in
tool.pytest_envsection inpyproject.toml, more can check Claude.mdcd api uv run pytest # Run all tests uv run pytest tests/unit_tests/ # Unit tests only uv run pytest tests/integration_tests/ # Integration tests # Code quality ./dev/reformat # Run all formatters and linters uv run ruff check --fix ./ # Fix linting issues uv run ruff format ./ # Format code uv run pyrefly check # Type checking
Generate TS stub
uv run dev/generate_swagger_specs.py --output-dir openapi
use https://jsontotable.org/openapi-to-typescript to convert to typescript