Back to Adk Python

Debugging with `adk web`

.agents/skills/adk-debug/references/web-api.md

2.7.03.4 KB
Original Source

Debugging with adk web

adk web is a FastAPI server: a browser UI at http://localhost:8000/dev-ui/ plus the HTTP API below. Reach for it when you need to click through a persisted session, or when you need the trace endpoints (references/logs-and-traces.md).

Starting the server

Check for an existing server before starting your own — a second one will fail to bind port 8000, and the user may already have one with the sessions you care about:

bash
curl -s http://localhost:8000/health     # {"status":"ok"} if one is running

If none is running, start it in the background and shut it down when you are done:

bash
adk web {agents_dir}                     # http://127.0.0.1:8000
adk web -v --reload_agents {agents_dir}

{agents_dir} is a directory of agent subdirectories, or a single agent folder (one containing agent.py or root_agent.yaml). It defaults to the current directory.

FlagDefaultNote
--port8000Use a second port to run two servers side by side.
--host127.0.0.1Endpoints are unauthenticated; keep it on loopback.
--reload_agentsoffRe-import agent modules when their files change. This is the one you want while editing an agent.
--reloadonUvicorn's own source autoreload. Pass --no-reload when a restart mid-run is confusing you.
-v / --log_levelINFOLogs go to the terminal, not to a file — see references/logs-and-traces.md.

adk api_server takes the same flags but serves only the production-safe routes — no UI and no /dev/... debug or trace endpoints. Use adk web when debugging.

Inspecting sessions

bash
curl -s http://localhost:8000/list-apps | python3 -m json.tool

curl -s http://localhost:8000/apps/{app_name}/users/{user_id}/sessions \
  | python3 -m json.tool

curl -s http://localhost:8000/apps/{app_name}/users/{user_id}/sessions/{session_id} \
  | python3 -m json.tool

The session response holds the full event list. Fetch the raw JSON and write a summarizer against the structure you actually see rather than a remembered schema. Fields worth pulling per event: author, branch, nodeInfo.path, content.parts (text, functionCall, functionResponse), output, and actions (transferToAgent, escalate, endOfAgent). Keys are camelCase.

DELETE .../sessions/{session_id} exists; do not use it to tidy up after yourself, because the user may still want the session in the UI.

Sending a test message

Create a session, then post one turn. /run returns the whole event list as JSON, which is far easier to assert on than a stream:

bash
SESSION=$(curl -s -X POST http://localhost:8000/apps/{app_name}/users/test/sessions \
  -H "Content-Type: application/json" -d '{}' \
  | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")

curl -s -X POST http://localhost:8000/run \
  -H "Content-Type: application/json" \
  -d "{\"app_name\":\"{app_name}\",\"user_id\":\"test\",\"session_id\":\"$SESSION\",
       \"new_message\":{\"role\":\"user\",\"parts\":[{\"text\":\"{query}\"}]}}" \
  | python3 -m json.tool

Use /run_sse with "streaming":true and curl -N only when the bug is in streaming itself — partial events, chunk ordering, or a stream that never terminates.

A POST to a session id that does not exist returns 404 rather than creating it, so create the session first. Supply your own id by passing {"session_id": "..."} in the create body when you want a stable id across runs.