Files
dify/api
Yansong Zhang ba8ddff696 feat(api): composer slash validations — human must be referenced + knowledge placeholder — ENG-617
Hard rule (PRD: human involvement must be slash-referenced or save errors):
every configured human contact must appear as {{#human:<id>#}} in its surface's
prompt (matched via any identity alias: id/contact_id/human_id/email/name;
identity-less contacts are skipped). Error code human_involvement_not_referenced,
enforced on both the agent soul prompt and the workflow job prompt.

Soft findings (never block save), returned by validate and attached to save
responses as `validation`:
- knowledge_retrieval_placeholder: dangling {{#knowledge:<id>#}} mentions (not
  in config, or configured-but-deleted in DB) are kept with a placeholder name
  (mention label, fallback "Knowledge <id8>") per the 0522 consensus, instead of
  being dropped or rejected; knowledge not referenced is fine.
- mention_target_missing: skill/file/tool/cli_tool/human/node_output/output
  mentions whose id resolves to no configured item.
- mention_malformed: mention-shaped markers the strict grammar rejects
  (degraded to plain text at runtime by the scrub pass).

Response models gain warnings/knowledge_retrieval_placeholder (validate) and
validation (save); validate endpoints now resolve dataset existence via the
tenant-scoped dataset lookup.

Design: Confluence 490012681 §5. Depends on the ENG-616 mention contract.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 14:51:31 +08:00
..
2026-04-16 02:21:04 +00:00
2026-06-08 04:53:12 +00:00
2026-04-16 02:21:04 +00:00
2026-04-16 08:50:02 +00:00
2026-04-16 02:21:04 +00:00

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 sites 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 Claude.md

    cd 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