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3 Commits
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0d4d0cb17d
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feat(agents): database-backed storage for custom agent definitions (#4359)
* feat(agents): database-backed storage for custom agent definitions Add an agent_storage.backend switch (default file, behaviour-unchanged) with a db backend that stores each custom agent as a row in the shared SQL persistence layer, so a multi-instance deployment sees the same agents on every node (#4331, #4357). Introduces an AgentStore interface routing all read/write surfaces, an agents table + migration 0006, startup validation, and a file->db importer. Follows the thread_meta store / run_events backend-switch / 0003_scheduled_tasks migration patterns; no new dependency. * fix(agents): make db storage path production-ready (review round 1) Addresses review feedback on the db/sync agent-storage path: - sql.py: mirror the async engine's per-connection SQLite PRAGMAs on the sync engine (busy_timeout=30000, synchronous=NORMAL, foreign_keys=ON, WAL) so both engines behave identically against the shared DB; guard the engine cache with a lock (double-checked) so concurrent first-touch cannot build duplicate engines or register the connect listener twice. - routers/agents.py + routers/assistants_compat.py: offload the sync-store reads that ran on the event loop (list/get/check, update's pre-read + legacy guard + refresh, and assistants_compat's four list routes) via asyncio.to_thread — on db+postgres each was a network round trip stalling the loop. Writes were already offloaded. - file.py: translate the create() mkdir(exist_ok=False) race FileExistsError into AgentExistsError (router 409, matching SqlAgentStore's IntegrityError path); correct the _write docstring — per-file atomic replace, two commits sequential not transactional. Tests: sync-engine PRAGMA + engine-cache reuse assertions; file create-race -> AgentExistsError; strict Blockbuster anchor over the read endpoints so a regression back onto the loop fails CI. * fix(agents): address round-2 review on the db store path - update_agent tool: align the docstring/inline comment with FileAgentStore._write. Cross-field write atomicity is db-only; the file backend commits config then soul via two sequential os.replace (a crash between them can leave a fresh config.yaml beside a stale SOUL.md). The dropped partial-write *reporting* is an intentional tradeoff — the stage-then-replace safety is preserved (test_update_agent_soul_failure_does_not_replace_config still holds). - SqlAgentStore.update(): true upsert. Catch IntegrityError on the insert-on-missing branch, re-fetch and apply, so two concurrent first-time writes (e.g. two setup_agent handshakes) converge instead of surfacing a raw UNIQUE(user_id, name) violation as a 500. Symmetric with create(). - get_agent_store(): document the graph-subprocess config-resolution invariant (the except->file fallback is a genuine no-config path, not a mask for a misconfigured graph process) and pin it with two tests driving the real get_app_config() file resolution: db resolves from an on-disk config.yaml, file fallback when config is unresolvable. * test(agents): cover SqlAgentStore.update() write-race upsert recovery Mandatory-TDD test for the round-2 fix in 0680340a: two concurrent first-time update()s where the loser's insert hits UNIQUE(user_id, name). Deterministically forces the IntegrityError recovery path by making the first _row probe miss the committed winner, and asserts last-writer-wins instead of a surfaced 500. |
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5a699e24a1
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feat(guardrails): expose authenticated runtime context in GuardrailRequest (#3665)
* docs: guardrail runtime attribution spec * docs: guardrail request attribution implementation plan * feat(guardrails): add runtime user context and attribution fields to GuardrailRequest Extend GuardrailRequest with optional runtime attribution fields so that pluggable GuardrailProviders can access authenticated user context and tool-call-level attribution: - Gateway injects user_role, oauth_provider, oauth_id into runtime context alongside the existing user_id (server-authenticated only, client spoofing prevented) - GuardrailRequest gains: user_id, user_role, oauth_provider, oauth_id, run_id, tool_call_id (all optional, backward compatible) - GuardrailMiddleware reads these from ToolCallRequest.runtime.context - thread_id now actually populated from context (was always None before) - Tests: 15 new/expanded tests covering Gateway injection, runtime context reading, partial/missing fields, and client spoofing prevention - Docs: new Runtime Attribution section in GUARDRAILS.md with provider example and YAML policy illustration * fix(guardrails): propagate attribution to subagents * fix(guardrails): complete subagent attribution propagation --------- Co-authored-by: Miracle778 <miracle778@no-reply.com> |
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68d8caec1f
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fix(agents): make update_agent honor runtime.context user_id like setup_agent (#2867)
* fix(agents): make update_agent honor runtime.context user_id like setup_agent PR #2784 hardened setup_agent to prefer runtime.context["user_id"] (set by inject_authenticated_user_context from the auth-validated request) over the contextvar, so an agent created during the bootstrap flow always lands under users/<auth_uid>/agents/<name>. update_agent was left calling get_effective_user_id() unconditionally — the same class of bug that produced issues #2782 / #2862 still applies whenever the contextvar is not available on the executing task (background work, future cross-process drivers, checkpoint resume on a different task). In that regime update_agent silently routes writes to users/default/agents/<name>, corrupting the shared default bucket and losing the user's edit. Extract the resolution policy into a shared resolve_runtime_user_id helper on deerflow.runtime.user_context and route both setup_agent and update_agent through it so the two halves of the lifecycle stay in lockstep. Add load-bearing end-to-end tests that drive a real langchain.agents create_agent graph with a fake LLM, exercising the full pipeline: HTTP wire format -> app.gateway.services.start_run config-assembly -> deerflow.runtime.runs.worker._build_runtime_context -> langchain.agents create_agent graph -> ToolNode dispatch (sync + async + sub-graph + ContextThreadPoolExecutor) -> setup_agent / update_agent The negative-control tests intentionally land in users/default/ to prove the positive tests are actually load-bearing rather than vacuously passing. The new test_update_agent_e2e_user_isolation suite included a test that failed against main and now passes after this fix. * style: ruff format on new e2e tests * test(e2e): real-server HTTP test driving setup_agent through the full ASGI stack Adds tests/test_setup_agent_http_e2e_real_server.py — a single load-bearing test that drives the entire FastAPI gateway through starlette.testclient. TestClient with no mocks above the LLM: - lifespan boots (config, sqlite engine, LangGraph runtime, channels) - POST /api/v1/auth/register (real password hash, real sqlite write, issues access_token + csrf_token cookies) - POST /api/threads (real thread_meta + checkpoint creation) - POST /api/threads/{id}/runs/stream with the exact wire shape the React frontend sends (assistant_id + input + config + context with agent_name/is_bootstrap) - AuthMiddleware -> CSRFMiddleware -> require_permission -> start_run -> inject_authenticated_user_context -> asyncio.create_task(run_agent) -> worker._build_runtime_context -> Runtime injection -> ToolNode dispatch -> real setup_agent - Asserts SOUL.md is under users/<authenticated_uid>/agents/<name>/ and NOT under users/default/agents/<name>/. DEER_FLOW_HOME and the sqlite path are redirected into tmp_path so the test never touches the real .deer-flow directory or developer database. The only patch above the LLM boundary is replacing create_chat_model with a fake that emits a single setup_agent tool_call. This is the "真实验证" answer: it reproduces what curl-against-uvicorn would do, minus the network socket layer. * test: address Copilot review on user-isolation e2e tests - Drop "currently expected to FAIL" wording from update_agent e2e docstring and header (Copilot review): the fix is in this PR, the test pins the corrected behaviour rather than driving a future change. - Rephrase the assertion failure messages from "BUG:" to "REGRESSION:" to match the test's role on the fixed branch. - Bound _drain_stream with a wall-clock timeout, a max-bytes cap, and an early break on the "event: end" SSE frame (Copilot review). Stops the test from hanging on a stuck run or runaway heartbeat loop. - Replace the misleading "patch both module aliases" comment with an explanation of why patching lead_agent.agent.create_chat_model is the only correct target (Copilot review): lead_agent rebinds the symbol into its own namespace at import time, so patching deerflow.models is too late. * test(refactor): address WillemJiang review on user-isolation e2e tests - Extract the duplicated FakeToolCallingModel (and a build_single_tool_call_model helper) into tests/_agent_e2e_helpers.py. All three e2e files now import from the shared module instead of redefining the shim locally. - Convert the manual p.start() / p.stop() try/finally blocks in test_update_agent_e2e_user_isolation.py to contextlib.ExitStack so patch lifecycle is Pythonic and exception-safe. - Lift the isolated_app fixture's private-attribute resets into a named _reset_process_singletons helper with a comment block explaining why each singleton has to be invalidated for true e2e isolation, and why raising=False is intentional. Makes the fragility visible and the intent self-documenting rather than leaving the resets inline as opaque monkeypatch calls. Net change: -59 lines (143 -> 84) across the three test files, with every assertion intact. Full suite remains 69 passed / lint clean. * test(e2e): make real-server test self-supply its config CI's actions/checkout only ships config.example.yaml (the real config.yaml is gitignored), so the production config-discovery search (./config.yaml -> ../config.yaml -> $DEER_FLOW_CONFIG_PATH) finds nothing and the test fails at lifespan boot with FileNotFoundError. The dev-machine run passed only because a local config.yaml happened to exist. Write a minimal AppConfig-valid yaml into tmp_path and pin DEER_FLOW_CONFIG_PATH to it. The yaml carries just what the schema requires (a single fake-test-model entry, LocalSandboxProvider, sqlite database). The LLM never gets instantiated because the test patches create_chat_model on the lead agent module, so the api_key/base_url stay placeholders. Verified by hiding the local config.yaml to mirror the CI checkout — the test now passes in both environments. |