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>
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