Files
dify/api
Charles YaoandClaude Opus 5 1b0b7e77f2 fix(workflow-generator): apply the shared graph normalizers in postprocess
_postprocess_graph now runs core.workflow.graph_normalizers: condition
values written as JSON numbers become strings, if-else varType is
derived from a declared start-variable type, http-request body items
get the type BodyData cannot default, and _repair_branch_edge_handles
delegates to the shared fail-closed repair (so a named-but-wrong handle
such as "else" is re-homed, not only the default "source").

Shared with cmd+K /create and /refine: every change turns a graph the
engine would have refused into one it accepts, and none alters a graph
the engine already accepted. Nothing is rejected here.

Validated on the real ESQ1-303 dev draft: value "60", varType "number",
handles true/false, edge ids derived from the repaired handles.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-22 00:18:17 -07:00
..
2026-09-19 09:26:15 +00:00
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Dify Backend API

Setup and Run

Important

In the v1.3.0 release, poetry has been replaced with uv as the package manager for Dify API backend service.

uv and pnpm are required to run the setup and development commands below.

The scripts resolve paths relative to their location, so you can run them from anywhere.

  1. Run setup (copies env files and installs dependencies).

    ./dev/setup
    
  2. Review api/.env, web/.env.local, and docker/middleware.env values (see the SECRET_KEY note below).

  3. Start middleware (PostgreSQL/Redis/Weaviate).

    ./dev/start-docker-compose
    
  4. Start backend (runs migrations first).

    ./dev/start-api
    
  5. Start Dify web service.

    ./dev/start-web
    

    ./dev/setup and ./dev/start-web install JavaScript dependencies through the repository root workspace, so you do not need a separate cd web && pnpm install step.

  6. Set up your application by visiting http://localhost:3000.

  7. Start the worker service (async and scheduler tasks, runs from api).

    ./dev/start-worker
    
  8. 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_KEY in the .env file.

    bash for Linux

    sed -i "/^SECRET_KEY=/c\\SECRET_KEY=$(openssl rand -base64 42)" .env
    

    bash for Mac

    secret_key=$(openssl rand -base64 42)
    sed -i '' "/^SECRET_KEY=/c\\
    SECRET_KEY=${secret_key}" .env
    

Testing

  1. Install dependencies for both the backend and the test environment

    cd api
    uv sync --group dev
    
  2. Run the tests locally with mocked system environment variables in tool.pytest_env section in pyproject.toml, more can check AGENTS.md

    Continue in the api directory from the previous step.

    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