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10 Commits
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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. |
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30a5846219
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fix(tools): make write_file append discoverable in model-facing schema (#2843)
* fix: make tool argument behavior discoverable The write_file tool already supported append=false by default with append=true for end-of-file writes, but the parsed docstring did not describe append in the model-facing schema. This records the overwrite default and append path in the tool description, adds resilient schema regression coverage, and keeps backend sandbox docs aligned. The regression now also checks that every public parameter in the existing tool schema test matrix has a description. Enabling docstring parsing on setup_agent and update_agent fills the two existing gaps with their existing Args docs instead of duplicating descriptions elsewhere. Constraint: Issue #2831 asks for a small docstring/schema discoverability fix without changing runtime file-writing behavior Rejected: Changing write_file defaults | would alter existing overwrite semantics and broaden the fix beyond schema discoverability Rejected: Exact phrase assertions | too brittle for future docstring rewording while testing the same behavior Confidence: high Scope-risk: narrow Directive: Keep model-facing tool parameters documented through parsed docstrings or equivalent schema descriptions Tested: cd backend && uv run pytest tests/test_setup_agent_tool.py tests/test_update_agent_tool.py tests/test_tool_args_schema_no_pydantic_warning.py tests/test_sandbox_tools_security.py::test_str_replace_and_append_on_same_path_should_preserve_both_updates -q Tested: cd backend && uv run ruff check packages/harness/deerflow/sandbox/tools.py packages/harness/deerflow/tools/builtins/setup_agent_tool.py packages/harness/deerflow/tools/builtins/update_agent_tool.py tests/test_tool_args_schema_no_pydantic_warning.py Not-tested: Full backend test suite Co-authored-by: OmX <omx@oh-my-codex.dev> * Fix the lint error --------- Co-authored-by: OmX <omx@oh-my-codex.dev> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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1c96a6afc8
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fix: keep new agent bootstrap in user scope (#2784) | ||
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7de9b5828b
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fix(tools): introduce Runtime type alias to eliminate Pydantic serialization warning (#2774)
* fix(tools): introduce Runtime type alias to eliminate Pydantic serialization warning
Add deerflow/tools/types.py with:
Runtime = ToolRuntime[dict[str, Any], ThreadState]
Replace every runtime: ToolRuntime[ContextT, ThreadState] and
runtime: ToolRuntime[dict[str, Any], ThreadState] annotation in
sandbox/tools.py, present_file_tool.py, task_tool.py, view_image_tool.py,
and skill_manage_tool.py with the new Runtime alias.
The unbound ContextT TypeVar (default None) caused
PydanticSerializationUnexpectedValue warnings on every tool call because
LangChain's BaseTool._parse_input calls model_dump() on the auto-generated
args_schema while DeerFlow passes a dict as runtime context.
Binding the context to dict[str, Any] aligns Pydantic's serialization
expectations with reality and removes the noise from all run modes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(tools): extend Runtime alias to setup_agent and update_agent tools
Replace bare ToolRuntime annotations in setup_agent_tool.py and
update_agent_tool.py with the shared Runtime alias introduced in the
previous commit, and add both tools to the Pydantic serialization
warning regression test (13 cases total).
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): loosen Pydantic warning filter to avoid version-specific format
Replace the brittle "field_name='context'" substring check with a looser
"context" match so the assertion stays valid if Pydantic changes its
internal warning format across versions.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): simplify warning filter and clean up docstring
Remove the "context" substring condition from the Pydantic warning
filter — asserting that no PydanticSerializationUnexpectedValue fires
at all is both simpler and more comprehensive, since the test payload
contains only the tool's own args plus runtime.
Also update the module docstring to remove the version-specific warning
format example that was inconsistent with the looser filter.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
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59c4a3f0a4
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feat(agent): add custom-agent self-updates with user isolation (#2713)
* feat(agent): add update_agent tool for in-chat custom-agent self-updates (#2616) Custom agents had no built-in way to persist updates to their own SOUL.md / config.yaml from a normal chat — `setup_agent` was only bound during the bootstrap flow, so when the user asked the agent to refine its description or personality, the agent would shell out via bash/write_file and the edits landed in a temporary sandbox/tool workspace instead of `{base_dir}/agents/{agent_name}/`. Changes: - New `update_agent` builtin tool with partial-update semantics (only the fields you pass are written) and atomic temp-file + os.replace writes so a failed update never corrupts existing SOUL.md / config.yaml. - Lead agent now binds `update_agent` in the non-bootstrap path whenever `agent_name` is set in the runtime context. Default agent (no agent_name) and bootstrap flow are unchanged. - New `<self_update>` system-prompt section is injected for custom agents, instructing them to use `update_agent` — and explicitly NOT bash / write_file — to persist self-updates. - Tests: 11 new cases in `tests/test_update_agent_tool.py` covering validation (missing/invalid agent_name, unknown agent, no fields), partial updates (soul-only, description-only, skills=[] vs omitted), no-op detection, atomic-write safety, and AgentConfig round-tripping; plus 2 new cases in `tests/test_lead_agent_prompt.py` covering the self-update prompt section. - Docs: updated backend/CLAUDE.md builtin tools list and tools.mdx (en/zh) with the new tool description. * feat(agent): isolate custom agents per user Store custom agent definitions under the effective user, keep legacy agents readable until migration, and cover API/tool/migration behavior with tests. Co-authored-by: Cursor <cursoragent@cursor.com> * feat: consistent write/delete targets & add --user-id to migration --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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30d619de08
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feat(subagents): support per-subagent skill loading and custom subagent types (#2253)
* feat(subagents): support per-subagent skill loading and custom subagent types (#2230) Add per-subagent skill configuration and custom subagent type registration, aligned with Codex's role-based config layering and per-session skill injection. Backend: - SubagentConfig gains `skills` field (None=all, []=none, list=whitelist) - New CustomSubagentConfig for user-defined subagent types in config.yaml - SubagentsAppConfig gains `custom_agents` section and `get_skills_for()` - Registry resolves custom agents with three-layer config precedence - SubagentExecutor loads skills per-session as conversation items (Codex pattern) - task_tool no longer appends skills to system_prompt - Lead agent system prompt dynamically lists all registered subagent types - setup_agent tool accepts optional skills parameter - Gateway agents API transparently passes skills in CRUD operations Frontend: - Agent/CreateAgentRequest/UpdateAgentRequest types include skills field - Agent card displays skills as badges alongside tool_groups Config: - config.example.yaml documents custom_agents and per-agent skills override Tests: - 40 new tests covering all skill config, custom agents, and registry logic - Existing tests updated for new get_skills_prompt_section signature Closes #2230 * fix: address review feedback on skills PR - Remove stale get_skills_prompt_section monkeypatches from test_task_tool_core_logic.py (task_tool no longer imports this function after skill injection moved to executor) - Add key prefixes (tg:/sk:) to agent-card badges to prevent React key collisions between tool_groups and skills * fix(ci): resolve lint and test failures - Format agent-card.tsx with prettier (lint-frontend) - Remove stale "Skills Appendix" system_prompt assertion — skills are now loaded per-session by SubagentExecutor, not appended to system_prompt * fix(ci): sort imports in test_subagent_skills_config.py (ruff I001) * fix(ci): use nullish coalescing in agent-card badge condition (eslint) * fix: address review feedback on skills PR - Use model_fields_set in AgentUpdateRequest to distinguish "field omitted" from "explicitly set to null" — fixes skills=None ambiguity where None means "inherit all" but was treated as "don't change" - Move lazy import of get_subagent_config outside loop in _build_available_subagents_description to avoid repeated import overhead --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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fc94e90f6c
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fix(setup-agent): prevent data loss when setup fails on existing agen… (#2254)
* fix(setup-agent): prevent data loss when setup fails on existing agent directory Record whether the agent directory pre-existed before mkdir, and only run shutil.rmtree cleanup when the directory was newly created during this call. Previously, any failure would delete the entire directory including pre-existing SOUL.md and config.yaml. * fix: address PR review — init variables before try, remove unused result * style: fix ruff I001 import block formatting in test file * style: add missing blank lines between top-level definitions in test file |
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2176b2bbfc
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fix: validate bootstrap agent names before filesystem writes (#2274)
* fix: validate bootstrap agent names before filesystem writes * fix: tighten bootstrap agent-name validation |
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2eca58bd86
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fix: add null checks for runtime.context in middlewares and tools (#1269)
Add defensive null checks before accessing runtime.context.get() to prevent AttributeError when runtime.context is None. This affects: - UploadsMiddleware - MemoryMiddleware - LoopDetectionMiddleware - SandboxMiddleware - sandbox tools - setup_agent_tool - present_file_tool - task_tool Also adds .env loading in serve.sh for environment variable support. Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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76803b826f
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refactor: split backend into harness (deerflow.*) and app (app.*) (#1131)
* refactor: extract shared utils to break harness→app cross-layer imports Move _validate_skill_frontmatter to src/skills/validation.py and CONVERTIBLE_EXTENSIONS + convert_file_to_markdown to src/utils/file_conversion.py. This eliminates the two reverse dependencies from client.py (harness layer) into gateway/routers/ (app layer), preparing for the harness/app package split. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: split backend/src into harness (deerflow.*) and app (app.*) Physically split the monolithic backend/src/ package into two layers: - **Harness** (`packages/harness/deerflow/`): publishable agent framework package with import prefix `deerflow.*`. Contains agents, sandbox, tools, models, MCP, skills, config, and all core infrastructure. - **App** (`app/`): unpublished application code with import prefix `app.*`. Contains gateway (FastAPI REST API) and channels (IM integrations). Key changes: - Move 13 harness modules to packages/harness/deerflow/ via git mv - Move gateway + channels to app/ via git mv - Rename all imports: src.* → deerflow.* (harness) / app.* (app layer) - Set up uv workspace with deerflow-harness as workspace member - Update langgraph.json, config.example.yaml, all scripts, Docker files - Add build-system (hatchling) to harness pyproject.toml - Add PYTHONPATH=. to gateway startup commands for app.* resolution - Update ruff.toml with known-first-party for import sorting - Update all documentation to reflect new directory structure Boundary rule enforced: harness code never imports from app. All 429 tests pass. Lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: add harness→app boundary check test and update docs Add test_harness_boundary.py that scans all Python files in packages/harness/deerflow/ and fails if any `from app.*` or `import app.*` statement is found. This enforces the architectural rule that the harness layer never depends on the app layer. Update CLAUDE.md to document the harness/app split architecture, import conventions, and the boundary enforcement test. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add config versioning with auto-upgrade on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated. This adds a config_version field and auto-upgrade mechanism so breaking changes (like src.* → deerflow.* renames) are applied automatically before services start. - Add config_version: 1 to config.example.yaml - Add startup version check warning in AppConfig.from_file() - Add scripts/config-upgrade.sh with migration registry for value replacements - Add `make config-upgrade` target - Auto-run config-upgrade in serve.sh and start-daemon.sh before starting services - Add config error hints in service failure messages Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix comments * fix: update src.* import in test_sandbox_tools_security to deerflow.* Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: handle empty config and search parent dirs for config.example.yaml Address Copilot review comments on PR #1131: - Guard against yaml.safe_load() returning None for empty config files - Search parent directories for config.example.yaml instead of only looking next to config.yaml, fixing detection in common setups Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: correct skills root path depth and config_version type coercion - loader.py: fix get_skills_root_path() to use 5 parent levels (was 3) after harness split, file lives at packages/harness/deerflow/skills/ so parent×3 resolved to backend/packages/harness/ instead of backend/ - app_config.py: coerce config_version to int() before comparison in _check_config_version() to prevent TypeError when YAML stores value as string (e.g. config_version: "1") - tests: add regression tests for both fixes Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: update test imports from src.* to deerflow.*/app.* after harness refactor Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |