* fix(examples): keep the extension example's tests passing as the contract grows The README's package-test commands failed one test on main: isinstance(registry, ExtensionRegistry) is False because the test's FakeRegistry does not implement knowledge_provider(), which extension-api 0.2.7 added to the runtime-checkable protocol. The same assertion broke earlier when plugin() was added. Nothing in CI runs these tests, so each addition to the contract broke them silently. FakeRegistry now records knowledge_provider() and plugin() calls, and the test asserts the example registers neither, as its README says. Extension Package Check, which already runs when the contract changes, now installs each bundled example that has a tests/ directory next to the checkout's extension-api and runs the README's pytest and ruff commands. A backend test pins that step and checks that every tested example declares those tools in its dev extra. The example README and the extensions guide now count nine contribution kinds, including knowledge providers. * docs(changelog): reference #7364 for the extension example test fix * test(extensions): name the missing package-test step in the wiring pin --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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DeerFlow extension example
For the shared edit → test → packaging check → install workflow, see the existing-example guide.
This directory is a compact, standalone Python package showing five of the
nine DeerFlow extension contribution kinds: middleware, task lifecycle,
system-model observer, service, and router. It depends on the public
deerflow-extension-api contract and never imports deerflow.* or app.*.
It does not register an agent-assembly observer, a context-compaction observer,
a knowledge provider, or a full-stack plugin. The observers are covered in the
Lifecycle and Observers
guide, deerflow-extension-knowledge shows
a knowledge provider, and deerflow-extension-bookmarks
shows a plugin.
The contract package intentionally has no framework dependencies. An extension
must therefore declare every framework it imports itself; this example explicitly
depends on FastAPI, LangChain, and LangGraph in pyproject.toml.
What it demonstrates
| Contribution | Example behavior |
|---|---|
| Middleware | Counts synchronous and asynchronous tool calls, outcomes, and elapsed time at TOOL_VISIBLE for lead agents and subagents |
| Task lifecycle | Creates task-scoped stats on start and folds them into app scope on stop |
| System-model observer | Counts DeerFlow-owned model calls, including failures |
| Service | Binds ExtensionRuntimeDeps only while the Gateway is running |
| Router | Eagerly declares GET /api/extension-example/stats during install() |
The middleware reads task scope only through task_store_from_runtime(). It
passes through unchanged when no task store exists. The router and service use
the same ExampleService object: its FastAPI dependency returns 503 before
start(), after stop(), or when no app store was bound. This keeps the route
topology stable while runtime capabilities arrive later.
Tool statistics
The existing tool_calls field counts calls entering the wrapper. The stats
response also includes these fields (this is illustrative output, not a benchmark):
{
"tool_calls": 3,
"tool_outcomes": {"returned": 1, "raised": 1, "cancelled": 1},
"tool_duration_samples": 3,
"tool_duration_total_ms": 60.0
}
returnedmeans the downstream handler returned normally, including an errorToolMessage. It does not measure business success. A tool exception converted into a normal return downstream ofTOOL_VISIBLEcounts here too.cancelledcountsasyncio.CancelledErrorescaping the handler, including actual task cancellation.raisedcounts other escaping exceptions, including LangGraphGraphBubbleUpcontrol-flow signals such as graph interrupts. Results and exceptions propagate unchanged; each wrapper calls its handler once. Resuming an interrupted tool node re-executes it and re-enters the wrapper: the interrupted attempt adds araisedsample, and the resumed attempt adds its owntool_callsincrement, duration sample, and outcome. These statistics count observed attempts, not unique logical tool calls across interrupt/resume.- Each completed observation adds one duration sample, including zero-duration calls. Elapsed time uses a monotonic clock and includes downstream middleware processing. Durations of overlapping lead/subagent calls are summed, so this total is not elapsed run time or exclusive tool execution time.
Outcome counters, duration samples, and elapsed totals are updated together under a lock. Task stats are copied and merged into app scope on task stop, after the task's tool calls have settled. The first stop consumes the task stats; duplicate stops (or a stop without a matching start) add neither tasks nor tool statistics. If a host stops a task while calls are still running, only the snapshot at that stop is merged; later completions are not published. Active tasks are not included in the app's tool totals. The system-model observer retains its existing behavior.
The new fields contain only fixed counters and timing totals, with no tool names, arguments, outputs, exception text, or identifying labels. Stats are process-local and reset on restart; they are not persisted or shared across workers.
Run the package tests
deerflow-extension-api is currently sourced from this checkout. Install it
first, then install this independent package:
cd examples/deerflow-extension-example
uv venv --python 3.12
uv pip install -e ../../backend/packages/extension-api
uv pip install -e ".[dev]"
uv run --no-project pytest -q
uv run --no-project ruff check .
uv run --no-project ruff format --check .
The tests use only the public contract plus this package's declared dependencies;
the DeerFlow harness and Gateway application are not imported. CI runs these
commands whenever this package or deerflow-extension-api changes, so a contract
addition that the test registry does not implement fails the pull request.
Install and load it in DeerFlow
From the DeerFlow checkout root, install this directory through the extension
manager. Use an absolute path because the Make wrapper invokes the manager from
backend/:
make extension-install SOURCE="$PWD/examples/deerflow-extension-example"
make extension-list
After the trust prompt is accepted, the manager:
- copies a deployable snapshot to
backend/extensions/sources/deerflow-extension-example/; - adds that snapshot to
backend/pyproject.toml'sextensionsdependency group and updatesbackend/uv.lock; - installs the locked environment; and
- adds and enables this startup-only entry in the selected
config.yaml.
plugins:
- name: example
package: deerflow-extension-example
use: deerflow_extension_example:install
enabled: true
required: false
config: {}
Start or restart DeerFlow after installation:
make dev
The Gateway imports extensions only while constructing the application. Install,
enable, disable, remove, and manual plugins: changes therefore take effect only
after a restart. These commands manage the example afterward:
make extension-disable NAME=example
make extension-enable NAME=example
make extension-remove NAME=example
The manager can also install a PyPI requirement or a pinned public HTTPS Git
URL. SSH Git URLs are rejected because the stock Docker builder does not
forward host SSH credentials. The direct CLI surface, run from backend/, is:
uv run --frozen --no-group extensions deerflow extensions install <source> [--yes] [--required]
uv run --frozen --no-group extensions deerflow extensions list
uv run --frozen --no-group extensions deerflow extensions enable <name>
uv run --frozen --no-group extensions deerflow extensions disable <name>
uv run --frozen --no-group extensions deerflow extensions remove <name>
--yes is intended only for automation that has already reviewed and trusted
the source: extension build hooks and runtime code execute with Gateway
privileges. --required records required: true, which turns any later load
failure into a Gateway startup abort; leave it off unless the application is
wrong without this extension.
The local snapshot is included in Docker builds. Local make dev, Docker dev,
and the production Gateway image all consume the same backend/uv.lock.
Development launchers may download missing locked artifacts before handing off
to the Gateway; a built production container does not. Rebuild the production
image with make up after changing the installed set.
After one or more runs, request the extension route:
curl -s http://localhost:2026/api/extension-example/stats
The response contains aggregated task outcomes, tool-call counts, outcomes and timing, system-model call counts, the app scope id, and a small projection of the host policy. The route passes through the Gateway's normal authentication middleware; use an authenticated browser session when authentication is enabled.
Packaging entry point
Managed packages expose exactly one standard PEP 621 entry point in the
deerflow.extensions group. This example declares:
[project.entry-points."deerflow.extensions"]
example = "deerflow_extension_example:install"
The entry-point name (example) is the stable operator-facing name accepted by
enable, disable, and remove; those commands also accept the distribution
name or the module:install value.
Package layout
deerflow_extension_example/
├── __init__.py # version-stamped install() entry point
└── plugin.py # state plus the five demonstrated contribution implementations
tests/
├── test_entry_point.py
├── test_plugin.py
└── test_tool_stats.py