129 commits

Author	SHA1	Message	Date
Nan Gao	b81334ccfe	feat(middlewares): deterministic read-before-write version gate for file tools (#3911) (#3912) ... * docs(specs): read-before-write gate design for issue #3857 output layer * docs(plans): read-before-write gate implementation plan (#3857) * refactor(sandbox): extract read_current_file_content helper (#3857) * feat(middlewares): read-before-write version gate for file tools (#3857) * test(middlewares): pin async read-before-write gate paths (#3857) * feat(config): wire ReadBeforeWriteMiddleware into runtime chain, default on (#3857) * docs(sandbox): document read-before-write gate in tool docstrings and AGENTS.md (#3857) * docs(plans): align plan doc with landed config_version (17) and drop machine-specific paths Addresses Copilot review comments on #3912. * fix(middlewares): read-before-write gate — error-string sandboxes fail open; serialize gate+execution per path (#3912 review) - AIO/E2B read_file reports failures (incl. missing files) as 'Error: ...' strings instead of raising; the gate treated that string as existing file content and blocked first-write creation. Error-string reads now count as uninspectable: gate fails open, no mark is stamped. - LangGraph runs one AIMessage's tool calls concurrently, so two same-turn writes could both pass on one stale mark before either mutation landed (and a read mark could hash a version the model never saw). Gate check + tool execution (and read + mark stamping) now share a per-(thread, path) critical section, separate from the tool-internal file_operation_lock.	2026-07-03 17:21:04 +08:00
AnoobFeng	e3e5c73b03	feat(observability): add trace-id correlation and enhanced logging (#3902) ... * feat(observability): add trace-id correlation and enhanced logging - add opt-in gateway request trace correlation via X-Trace-Id - enhance logging with configurable trace_id-aware formatting - propagate deerflow_trace_id into runtime context and Langfuse metadata - keep enhanced logging disabled by default to preserve existing behavior * fix: harden trace correlation wiring - Make logging enhancement a restart-required startup snapshot and remove per-request config reads from TraceMiddleware - Restrict trace ids to printable ASCII before writing them to response headers, logs, and Langfuse metadata - Gate implicit DeerFlowClient trace-id creation behind logging.enhance.enabled while preserving explicit caller opt-in - Bind embedded client trace context per stream step to avoid generator ContextVar leaks and cross-context reset errors - Rebind memory update trace ids in Timer/executor worker paths so enhanced logs keep the captured correlation id - Remove unrelated __run_journal context overwrite from the trace-correlation change set * fix(gateway): avoid eager app construction on package import * fix(gateway): avoid config load during app import Keep Gateway app construction import-safe when config.yaml is absent by disabling TraceMiddleware only for that construction-time fallback path. Startup lifespan still performs strict config loading before serving.	2026-07-03 08:01:46 +08:00
Huixin615	b476c7a18d	fix(store): honor unified database configuration (#3904) ... * fix(store): align store backend with database config * fix(store): preserve no-config memory fallback --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-07-03 07:46:04 +08:00
Yi Deng	4e6248f013	fix(gateway): clamp client-supplied recursion_limit to prevent runaway runs (#3903) ... build_run_config() copied every top-level request key (except configurable/context) verbatim into the LangGraph RunnableConfig, including recursion_limit. The server default of 100 was fully overridable by the caller with no upper bound, so a request like {"config": {"recursion_limit": 100000000}} could make a single run execute effectively unbounded LangGraph super-steps (each >= 1 LLM call), enabling runaway API cost / DoS. Validate the client value server-side and clamp it into a safe range: - valid positive ints are capped at a configurable ceiling (AppConfig.max_recursion_limit, default 1000 to match the existing frontend/public-skill default so legitimate deep runs are unaffected) - invalid/non-positive/bool/None values fall back to the 100 server default - applied on both the configurable and the LangGraph >= 0.6.0 context paths - WARNING logged on clamp for observability Add unit tests (including a configurable-ceiling case), expose max_recursion_limit in config.example.yaml (config_version 16), and document the ceiling/fallback in backend/docs/API.md. Co-authored-by: DengY11 <DengY11@users.noreply.github.com>	2026-07-02 11:38:21 +08:00
ajayr	1f74082987	feat(community): add Crawl4AI web_fetch provider (#3821) ... * feat(community): add Crawl4AI web_fetch provider Crawl4AI is a self-hosted, no-API-key web fetcher: it runs headless Chromium and returns server-cleaned "fit" markdown directly via its POST /md endpoint, so no client-side readability extraction is needed. It sits alongside the existing self-hosted Browserless provider. - deerflow.community.crawl4ai: async Crawl4AiClient + web_fetch_tool (reads base_url/timeout_s/token/filter from config; "Error:" string convention; 4096-char cap), mirroring the browserless provider - tests: 17 unit cases (success, HTTP error, success:false, empty, timeout, request error, token header, truncation, config reads) - config.example.yaml: commented web_fetch example - doctor: register as a no-key (free) web_fetch provider - setup wizard: add to WEB_FETCH_PROVIDERS (no API key) - docs: README, CONTRIBUTING, CONFIGURATION, AGENTS provider lists Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(community): address Crawl4AI provider review feedback - timeout: robust _coerce_timeout (bool / non-numeric -> default) mirroring jina, so 'timeout: off' no longer becomes 0.0 and times out every request - read web_fetch config once per invocation and pass values into the client, so a concurrent hot-reload can't split base_url from filter - rename config key timeout_s -> timeout to match jina/infoquest (the default providers); update config.example.yaml + setup wizard - validate + normalize the markdown filter against {fit,raw,bm25,llm}; unknown values fall back to fit with a warning instead of an opaque HTTP 400 - client: a non-JSON 200 body (reverse proxy / auth wall) now reports the content-type + snippet instead of a generic JSONDecodeError - tests: 22 cases (added non-JSON-200, _coerce_timeout, _coerce_filter, invalid-filter fallback, read-config-once) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-07-02 11:22:42 +08:00
Ryker_Feng	ddb097a72f	feat(community): add Brave image search community tool (#3866) ... * Add Brave image search community tool * fix(community): length-cap Brave web_search queries Apply _clean_query in web_search_tool so over-long queries are trimmed to Brave's 400-char limit before the API call, matching image_search_tool and avoiding HTTP 422 from the Brave Search API. * fix(community): harden Brave image search SSRF guard and dimension mapping Address PR review findings: - Catch ValueError from urlparse so a malformed bracketed-IPv6 URL skips one item instead of crashing the whole image_search call - Reject IPv6 literals embedding a non-global IPv4 (IPv4-mapped, 6to4, NAT64, IPv4-compatible), closing the loopback/private SSRF bypass - Report width/height from the dict of the URL actually returned, so a surviving thumbnail no longer reports the dropped original's dimensions --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-07-02 11:00:49 +08:00
Ryker_Feng	a8f950feb6	feat(community): add Browserless web_capture screenshot tool (#3881) ... * feat(community): add Browserless web_capture screenshot tool Add a web_capture tool that renders a page via Browserless /screenshot and presents it through the artifact system, alongside the existing Browserless web_fetch provider. Hardening: - SSRF guard: reject URLs resolving to private/loopback/link-local (incl. the 169.254.169.254 cloud-metadata endpoint)/reserved/multicast/unspecified addresses; opt out via allow_private_addresses for internal targets. - Surface a warning when Browserless renders a target page that itself responded with a non-2xx/3xx status (X-Response-Code), so an error/anti-bot page is not mistaken for valid visual evidence. - Dedupe colliding output filenames instead of silently overwriting prior captures. Docs: comment out token: $BROWSERLESS_TOKEN in tool examples (an unset $VAR fails AppConfig startup) and document allow_private_addresses. * fix(community): format web_capture guard + document local Browserless startup Address PR #3881 review: fix the lint-backend failure (ruff format on browserless/tools.py) and add local Browserless startup instructions to CONFIGURATION.md so reviewers can run the service to try web_fetch/web_capture.	2026-07-01 23:41:58 +08:00
Zhou Kai	dd05e1a76d	fix(docker): production Postgres UV extras detection (#3897) ... * Fix production postgres UV extras detection * fix(backend): validate Docker build UV extras	2026-07-01 23:40:35 +08:00
AochenShen99	442248dd06	feat: preserve durable context across summarization (#3887) ... * feat: preserve durable context across summarization * fix: harden durable context review gaps * style: format delegation ledger live test * chore: remove stale delegation ledger prefix * fix: address durable context review feedback	2026-07-01 22:49:17 +08:00
xiawiie	2453718acd	fix(title): avoid default LLM call before stream end (#3885) ... * fix(title): avoid default LLM call before stream end * fix(title): keep default fallback local * fix(title): harden fallback and replay e2e * docs(title): align fallback title behavior	2026-06-30 18:58:02 +08:00
DanielWalnut	fe82552023	fix(sandbox): stop blocking bash commands (e.g. servers) from hanging the turn (#3864) ... * fix(sandbox): stop blocking bash commands from hanging the turn Starting a server through the host bash tool (e.g. `python -m http.server`) could hang the whole turn for the full 600s timeout. `LocalSandbox.execute_command` used `subprocess.run(capture_output=True)`, whose captured pipes are inherited by any process the command spawns — so a backgrounded long-lived process (`server &`) keeps the read end open and blocks `communicate()` until the timeout fires, even though the foreground command already returned. Commands that read stdin blocked the same way, and on timeout only the direct child was killed, leaving orphaned process groups. Rework the POSIX path to capture stdout/stderr via temp files instead of pipes, take stdin from /dev/null, and run the command in its own session/process group: - Backgrounded long-lived processes (servers) now return immediately while the process keeps running. - A command reading stdin gets immediate EOF instead of blocking. - A genuinely blocking foreground command is bounded by a configurable wall-clock timeout; on timeout the whole process group is killed and the agent gets an explanatory notice telling it to background long-lived processes. The timeout is configurable via `sandbox.bash_command_timeout` (default 600). The Windows path is unchanged. Adds focused regression tests and updates docs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): instruct the agent to background long-lived processes The code fix bounds a foreground server with a timeout, but the turn still waits the full timeout before the run continues. Add the prompt-side half: the bash tool description now tells the model to ALWAYS start long-lived processes (e.g. web servers) in the background with output redirected, so the tool returns immediately. The timeout notice points at the same readable workspace log path. Pins the guidance with a test. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): make fallback-kill exception explicit and observable Address automated review: the inner `except OSError: pass` in _terminate_process_group silently swallowed the case where the direct-child fallback kill found the process already gone. Make the intent explicit with a comment and a debug log instead of a bare pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): address bash timeout review feedback * fix(sandbox): document fd cleanup races --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-06-30 14:55:31 +08:00
Tianye Song	b990da785f	feat(memory): add guaranteed injection for correction facts with graceful fallback (#3592) ... * feat(memory): add guaranteed injection for correction facts with graceful fallback When the token budget is tight, high-value facts (e.g. user corrections) can be silently evicted by lower-priority regular facts. This change: - Introduces configurable 'guaranteed_categories' (default: [correction]) whose facts draw from a separate 'guaranteed_token_budget', ensuring they are never dropped due to budget pressure. - Adds a graceful fallback to confidence-only ranking when the guaranteed-category path raises an unexpected exception. - Refactors fact selection into a header-agnostic helper (_select_fact_lines) with explicit token accounting in the caller, eliminating double-counting of separators. - Emits a single 'Facts:' header regardless of whether both guaranteed and regular facts are present. - Extends the final safety truncation limit to account for the additional guaranteed budget so guaranteed facts survive end-to-end. * refactor(memory): address review feedback on guaranteed injection - Restore strict break-on-overflow in `_select_fact_lines` to preserve the caller's confidence-ordered ranking; add a regression test locking in the invariant that a shorter lower-confidence fact never slips ahead of a skipped higher-confidence one. - Account for the inter-group `\n` separator between guaranteed and regular fact blocks in the regular budget (1-token precision fix). - Clarify docstrings on `format_memory_for_injection` and `MemoryConfig.guaranteed_token_budget` to distinguish the common *displacement* case (total stays within `max_tokens`) from the rarer *additive* case (safety-truncation ceiling raised when guaranteed lines alone would overflow). * fix(memory): address P1 safety truncation + P2s from review - Structure-aware safety truncation: Facts block is now a protected suffix so guaranteed-category facts can never be silently discarded by a prefix-cut on overflow. Only the preceding (user/history) sections are eligible for truncation. - Extend the same protected-suffix treatment to the except/fallback path by returning fact lines alongside the formatted section from _fallback_format_facts, avoiding string parsing. - Single inter-section separator: facts section no longer embeds its own leading \n\n; the final "\n\n".join(sections) is the single source of truth for section-to-section spacing. - Bare string for guaranteed_categories now raises TypeError instead of silently iterating single characters. - Category-less / malformed facts no longer default-promote into the guaranteed "context" pool — only facts with an explicit category field qualify. - Lift valid_facts pre-filter outside the try so the fallback path reuses it instead of re-doing validation work. - MemoryConfigResponse + DeerFlowClient.get_memory_config now expose guaranteed_categories / guaranteed_token_budget. - config.example.yaml: document the two new fields and bump config_version from 12 to 13. - Add regression tests for every finding. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-06-23 08:10:12 +08:00
lucaszhu-hue	46fd28136d	docs(config): add Atlas Cloud as an OpenAI-compatible model example (#3704) ... Atlas Cloud (https://atlascloud.ai) exposes a single OpenAI-compatible endpoint in front of many open models (DeepSeek, Qwen, Kimi, GLM, MiniMax, Llama, ...). It needs no new provider code — it uses the same ChatOpenAI + base_url pattern already documented for OpenRouter, Novita and other gateways. Add a commented example to config.example.yaml: a plain ChatOpenAI entry plus a PatchedChatOpenAI variant for *-thinking model ids so reasoning_content is replayed across multi-turn tool calls. The key is read from the ATLASCLOUD_API_KEY environment variable via the $VAR form, consistent with the other examples. Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-06-22 20:45:50 +08:00
Chetan Sharma	78fff5a5e2	feat(middleware): add TokenBudgetMiddleware for per-run token budget e… (#3412) ... * eat(middleware): add TokenBudgetMiddleware for per-run token budget enforcement * address copilot comments * resolve feedback --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-06-21 22:25:15 +08:00
jp0xz	a6dd2876f0	feat(community): add GroundRoute web search + fetch engine (#3675) ... * feat(groundroute): add GroundRoute community web_search + web_fetch tools GroundRoute is a meta search layer over six engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) with price-based routing and failover. This adds a self-contained community engine module (httpx only, no new required deps) mirroring community/brave + community/tavily: - web_search: POST /v1/search, normalize to {title,url,snippet,source_engine}. - web_fetch: fetch a URL via mode=page. - unit tests covering normalization, auth, clamping, and graceful errors. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(groundroute): register GroundRoute search + fetch in wizard and config Add GroundRoute to the setup wizard provider lists (SEARCH_PROVIDERS + WEB_FETCH_PROVIDERS) and as commented web_search + web_fetch examples in config.example.yaml, mirroring tavily/serper/brave so SEARCH_API can select it. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * style(groundroute): apply repo ruff format (line-length 240) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(groundroute): add GroundRoute to tools docs and config reference Adds GroundRoute as a web_search and web_fetch option in the en + zh tools.mdx pages (new tab alongside Tavily/Brave/Exa/etc.) and documents GROUNDROUTE_API_KEY in CONFIGURATION.md. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(groundroute): define empty groundroute extra for clean install The docs install line 'uv add deerflow-harness[groundroute]' (mirroring the tavily/exa/firecrawl pattern) referenced an undefined extra, which uv accepts but warns about. GroundRoute needs no extra packages (httpx is a core dep), so declare an empty 'groundroute' extra in deerflow-harness optional-dependencies so the documented command resolves without a warning. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(groundroute): per-tool api key + honor caller max_results (review) Address maintainer review on PR #3675: - _get_api_key(tool_name): web_fetch now reads the web_fetch config block's key instead of always web_search, so a flow that pairs GroundRoute fetch with a different search engine authenticates correctly. Mirrors serper/exa/firecrawl. - web_search honors a caller-supplied max_results (sentinel default None), falling back to the configured value only when omitted, so the documented parameter is no longer silently discarded. - warn-once is now keyed per tool. Tests cover both fixes (web_fetch key, agent max_results honored). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-06-21 15:55:10 +08:00
Zheng Feng	ee8ad1bc67	feat(auth): add OIDC SSO support (#3506) ... Add provider-agnostic OIDC authentication with Keycloak-compatible configuration, frontend SSO UI support	2026-06-21 15:47:53 +08:00
Recep S	9072075311	feat: add fastCRW provider (#3585) ... * feat: add fastCRW provider * test(fastcrw): fix env isolation and cover error, no-content, and env-fallback paths --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-06-21 09:30:55 +08:00
Ryker_Feng	0bbbbc06f4	feat(community): add Serper Google Images provider for image_search (#3575) ... * feat(community): add Serper Google Images provider for image_search Add a Serper-backed `image_search` tool alongside the existing Serper `web_search` provider, so users with a SERPER_API_KEY can pull Google Images results as reference images for downstream image generation. - Share request/response handling between web_search and image_search via `_serper_post` / `_response_items`, with bounded `max_results` (capped at 10) and query normalization. - Add a best-effort SSRF guard (`_safe_public_url`) that rejects non-http(s), localhost and private/non-global IP image URLs; filtered entries are dropped and never consume the result limit. - doctor: flag literal `api_key` values in config as a warning and steer users toward `.env` + `$SERPER_API_KEY`. - Docs/config: document the Serper image_search provider and SERPER_API_KEY, and discourage committing literal keys to config.yaml. - Tests: cover the provider end-to-end (100% line coverage on tools.py) and the doctor literal-key warning path. * fix(community): block obfuscated IPv4 literals in Serper image SSRF guard The image_search SSRF guard only rejected dotted-decimal IP literals; encoded forms such as decimal (http://2130706433/), hex (0x7f000001) and octal (0177.0.0.1) raised ValueError in ip_address() and were allowed through, even though many HTTP clients resolve them to private addresses like 127.0.0.1. Add _decode_ipv4() to permissively decode these inet_aton-style encodings and apply the same is_global check; hostnames that do not decode to an IP (e.g. cafe.com) are still treated as hosts and left to fetch-time re-validation. Addresses PR review feedback. Tests cover decimal/hex/octal loopback and private encodings plus non-IP edge cases; tools.py stays at 100% line coverage. * test(community): cover IPv4-mapped IPv6 URL filtering * fix(community): address Serper image search review feedback - Block trailing-dot hostname SSRF bypass (localhost./127.0.0.1.) in _safe_public_url by stripping the FQDN root label before checks. - Keep a filtered image/thumbnail URL empty instead of collapsing onto its counterpart, preserving the high-res/preview contract. - Evaluate the SSRF guard once per field rather than twice. - Treat a null-typed organic/images field as "no results" rather than a malformed payload. - doctor.py: when a config $VAR is unset, fall through to the default env var before reporting it as not set.	2026-06-18 07:36:35 +08:00
Nan Gao	0966131b31	fix(channels): require bound identity for user-owned IM messages (#3578) ... * fix(channels): require bound identity for user-owned IM messages * make format * docs: document bound identity channel config * refactor: reuse channel connection config * refactor _requires_bound_identity() * refactor from_app_config() * make format * fix: reject unbound channel chats before semaphore * security enhancement * make format * fix: enforce bound-identity admission at command entry point The bound-identity gate only ran for non-command messages in _handle_message() and as a fallback inside _handle_chat(). Commands had no equivalent boundary, so an unbound platform user could send /new and reach _create_thread() directly, creating an unowned Gateway thread and empty checkpoint. Info commands (/status, /models, /memory) likewise leaked Gateway state to unbound users. Add the same _requires_bound_identity() check at the top of _handle_command(), rejecting via _reject_unbound_channel_message() before any thread creation or Gateway query. The gate is a no-op in legacy open-bot mode (require_bound_identity=False) and auth-disabled mode. Provider-level binding flows (/connect, /start) are consumed by the provider adapter before reaching the manager, so they are unaffected. Tests: - unbound auth-enabled /new is rejected before threads.create - bound auth-enabled /new still creates the thread Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(channels): carry workspace fallback decision on inbound messages * fix(channels): recheck bound identity by normalized workspace * fix(channels): avoid duplicate bound identity checks * fix(channels): preserve verified routing for bound identity rejects * fix(channels): clarify bound identity upgrade failures --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-06-16 23:04:39 +08:00
DanielWalnut	05be7ea688	fix(subagents): raise general-purpose max_turns to 150 and default timeout to 30min (#3610) ... * fix(subagents): raise general-purpose max_turns to 150 and default timeout to 30min Deep-research subtasks failed out of the box with GraphRecursionError (Recursion limit of 100 reached): the built-in general-purpose subagent caps at max_turns=100. Raise it to 150 and bump the default subagent timeout from 900s (15min) to 1800s (30min) so the extra turns have time to run instead of shifting the failure to a timeout. The lead agent recursion_limit (100) is unchanged; the failures are subagent-only. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(subagents): clarify lead recursion_limit is independent of subagent max_turns Add comments at both lead recursion_limit=100 sites (gateway services + channel manager) explaining the lead's LangGraph super-step budget is separate from subagent depth, so the two 100s are not conflated. Comment-only, no behavior change. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(subagents): clarify built-in vs custom timeout scope; pin bash max_turns in test Review follow-ups: (1) clarify SubagentConfig docstring + global timeout field/comment that the 1800 default applies to built-in subagents (custom agents keep their own timeout_seconds); (2) pin bash.max_turns==60 in the defaults regression test so the config.example.yaml doc cannot drift; (3) rename test_default_timeout_preserved_when_no_config -> test_explicit_global_timeout_propagates_to_general_purpose since it intentionally exercises an explicit non-default 900. No runtime behavior change. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-06-16 19:55:04 +08:00
Chetan Sharma	d2cc991d55	make ai follow-up suggestions optional (#3591)	2026-06-15 17:59:25 +08:00
idefav	554017a89f	docs: document custom AIO sandbox images (#3548) ... * docs: document custom AIO sandbox images * docs: clarify sandbox image dependency example	2026-06-13 22:50:51 +08:00
Ryker_Feng	6e839342a7	feat(community): add Brave Search web search tool (#3528) ... * feat(community): add Brave Search web search tool Add a community web_search provider backed by the official Brave Search API (https://api.search.brave.com/res/v1/web/search). API key is read from the tool config (inline api_key) or the BRAVE_SEARCH_API_KEY env var. Output schema (title/url/content) matches existing search tools. No new dependencies (uses the existing httpx). Also wires up the setup wizard, doctor health check, config example, and EN/ZH docs. * refactor(community): drop redundant [:count] slice in Brave search The Brave API already caps results via the `count` request param, so client-side slicing was redundant. Tests now simulate the API honoring `count` instead of relying on the slice. Addresses PR review nit. * style(tests): apply ruff format to test_doctor.py Collapse multiline write_text calls onto single lines to satisfy the CI ruff formatter (lint-backend was failing on format --check).	2026-06-13 22:47:35 +08:00
zengxi	bbce6c0ac0	docs(config): add SearXNG and Browserless configuration examples (#3513) ... * docs(config): add SearXNG and Browserless configuration examples Add commented-out configuration examples for the SearXNG web search and Browserless web fetch tools introduced in PR #3451. - SearXNG: self-hosted metasearch engine (base_url, max_results) - Browserless: headless Chrome renderer (base_url, token, timeout_s, wait_for_event, wait_for_selector, reject_resource_types, etc.) Also bump config_version to 13 since the tool schema has new options. * fix(config): align defaults with code and remove unconfigured keys - SearXNG default port: 8088 (matches searxng/tools.py fallback) - Browserless default port: 3032 (matches browserless/tools.py fallback) - Remove wait_for_selector_timeout_ms, reject_resource_types, reject_request_pattern from example (not yet read from config) - Note Docker service ports differ from code defaults	2026-06-12 16:50:32 +08:00
DanielWalnut	aa015462a7	feat(im): Add user-owned IM channel connections (#3487) ... * Add user-owned IM channel connections * Fix dev startup and channel connect popup * Use async channel connect flow * Harden dev service daemon startup * Support local IM channel connections * Align IM connections with local channels * Fix safe user id digest algorithm * Address Copilot IM channel feedback * Address IM channel review comments * Support all integrated IM channel connections * Format additional channel connection tests * Keep unavailable channel connect buttons clickable * Fix IM channel provider icons * Add runtime setup for enabled IM channels * Guard global shortcut key handling * Keep configured IM channels editable * Avoid password autofill for channel secrets * Make channel threads visible to connection owners * Persist IM runtime config locally * Allow disconnecting runtime IM channels * Route no-auth channel sessions to local user * Use default user for auth-disabled local mode * Show IM channel source on threads * Prefill IM channel runtime config * Reflect IM channel runtime health * Ignore Feishu message read events * Ignore Feishu non-content message events * Let setup wizard enable IM channels * Fix frontend formatting after merge * Stabilize backend tests without local config * Isolate channel runtime config tests * Address channel connection review comments * Use sha256 user buckets with legacy migration * Ensure runtime IM channels are ready after restart * Persist disconnected IM channel state * Address channel connection review comments * Address channel connection review findings Frontend connect flow: - Open the runtime-config dialog only when a provider still needs credentials; configured providers go straight to the connect flow, so the binding-code/deep-link path is reachable from the UI again. - After saving credentials, continue into the connect flow when a user binding is still required (multi-user mode) instead of stopping at a "Connected" toast. - Extract shared provider-state helpers to core/channels/provider-state and add unit + e2e coverage for the direct-connect and configure-then-connect paths. Provider status semantics: - Report connection_status from the user's newest connection row; with no binding it is not_connected, except in auth-disabled local mode where a configured running channel is effectively connected. Concurrency and event-loop correctness: - Offload ChannelRuntimeConfigStore construction and writes, channel service construction, and Slack connection replies to threads; add a tests/blocking_io/ anchor for the runtime-config handlers. - Consume binding codes with a conditional UPDATE so a code can only be used once under concurrent workers; retry upsert_connection as an update when a concurrent insert wins the unique constraint. - Serialize ensure_channel_ready per channel so concurrent provider polls cannot double-start a channel worker. Config and migration hardening: - Stop mutating the get_app_config()-cached Telegram provider config; the runtime store now owns the UI-entered bot username. - Register channel_connections in STARTUP_ONLY_FIELDS with the standardized startup-only Field description. - Match the legacy unsafe-id bucket by recomputing its exact SHA-1 name so another user's same-prefix bucket can never be migrated. - Remove the unused Telegram process_webhook_update path and document src/core/channels in the frontend docs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Address PR review comments on authz scoping and channel runtime Security (review feedback from ShenAC-SAC): - Scope internal-token callers to the connection owner carried in X-DeerFlow-Owner-User-Id instead of bypassing owner checks outright, in both require_permission(owner_check=True) and the stateless run endpoints. Internal callers keep access to their own and shared/legacy threads, and may claim a default-owned channel thread for its real owner, but a leaked internal token no longer grants cross-user thread access. - Require admin privileges for POST/DELETE /api/channels/{provider}/ runtime-config: runtime credentials and channel workers are instance-wide shared state (same model as the MCP config API). Read-only provider listing stays available to all users. Performance (review feedback from willem-bd): - Skip the redundant thread channel-metadata PATCH after the first successful backfill per thread. - Reuse the per-connection Slack WebClient until its token changes instead of constructing one per outbound message. - Reconcile channel readiness for all providers concurrently in GET /api/channels/providers. Also resolve the code-quality unused-import flag in the blocking-io anchor by pre-importing the channel service via importlib. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Fix prettier formatting in provider-state test Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Reconcile UI runtime channel config with config reload on restart Main now reloads a channel's config.yaml entry on restart_channel() (#3514, issue #3497). Adapt the user-owned connection flow to coexist: - configure_channel() restarts with reload_config=False — the caller just supplied the authoritative config (browser-entered credentials that are never written to config.yaml), so a file reload must not clobber it with the stale on-disk entry. - _load_channel_config() re-applies the UI runtime-store overlay used at startup, so an operator-triggered restart keeps browser-entered credentials for channels without a config.yaml entry and does not resurrect a channel disconnected from the UI. - Offload the reload's disk IO (config.yaml + runtime store) with asyncio.to_thread, matching the blocking-IO policy on this branch. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>	2026-06-12 15:24:58 +08:00
Ryker_Feng	167ef4512f	feat(memory): add memory.token_counting config to avoid tiktoken network dependency (#3429) (#3465) ... * feat(memory): add memory.token_counting config to avoid tiktoken network dependency (#3429) Add a `memory.token_counting` option (`tiktoken` | `char`) so deployments in network-restricted environments can opt out of tiktoken entirely. In `char` mode the memory-injection budget uses a network-free character-based estimate and never triggers the BPE download from openaipublic.blob.core.windows.net, which could otherwise block for tens of minutes (see #3402). Also harden the default `tiktoken` path: - cache an in-flight LOADING sentinel so concurrent callers fall back immediately instead of spawning more blocking get_encoding threads when the first load is still running (e.g. under the 5s startup warm-up timeout); - cache failures with a timestamp and retry after a cooldown so a transient network outage self-heals back to accurate counting without a restart; - skip startup warm-up entirely in char mode. The new config is surfaced via the memory config API and config.example.yaml (config_version bumped). Default remains `tiktoken`, so existing deployments are unaffected. * fix(memory): use CJK-aware char token estimate and address review feedback - Replace the flat len(text)//4 fallback with a CJK-aware estimate so Chinese/Japanese/Korean memory content does not over-fill the injection budget - Document the internal tiktoken retry cooldown and char-mode escape hatch - Sync CLAUDE.md / config.example.yaml / MEMORY_IMPROVEMENTS.md wording - Fix MemoryConfigResponse mocks/assertions and add CJK estimate tests	2026-06-10 23:26:15 +08:00
Lucy Shen	ae9e8bc0bf	fix(sandbox): make missing sandbox.mounts host_path a loud ERROR (#3244) (#3250) ... In Docker production deployments, LocalSandboxProvider runs inside the deer-flow-gateway container, so any `sandbox.mounts[].host_path` from config.yaml is resolved against the gateway container's filesystem — not the host machine. When the path isn't also bind-mounted into the gateway service, the mount was silently dropped with only a WARNING log, leaving agents reading an empty directory in production while the same config worked under `make dev`. Escalate the missing-host_path branch to logger.error with explicit guidance about Docker bind mounts and docker-compose, so the failure is hard to miss in default log configurations. Skip behaviour is preserved to avoid breaking existing deployments. Also clarify the misleading `VolumeMountConfig.host_path` field description so it documents reality for both providers: - LocalSandboxProvider checks host_path from inside the gateway process (host in `make dev`, container in `make up`). - AioSandboxProvider (DooD) passes host_path straight to `docker -v` for the sandbox container, where the host Docker daemon resolves it from the host machine's perspective. config.example.yaml's `sandbox.mounts` comment gets a Note: block pointing operators at the docker-compose bind-mount requirement so the Docker-mode gotcha is discoverable from the canonical template. Adds a regression test that: - confirms missing host_path is still skipped (no behaviour break); - asserts an ERROR record is emitted referencing the offending paths; - asserts the message contains actionable Docker/gateway/docker-compose keywords so future refactors can't quietly downgrade it. Refs: https://github.com/bytedance/deer-flow/issues/3244	2026-06-09 23:16:14 +08:00
hataa	37337b77f9	feat(models): add StepFun reasoning model adapter (#3461) ... Add PatchedChatStepFun adapter for StepFun reasoning models (step-3.7-flash, step-3.5-flash). Captures reasoning from both streaming and non-streaming responses and replays it on historical assistant messages for multi-turn tool-call conversations. - New: PatchedChatStepFun adapter with streaming/non-streaming reasoning capture - Support both reasoning and reasoning_content field names - 17 unit tests covering all response paths - Updated: config.example.yaml with StepFun configuration example	2026-06-09 18:01:43 +08:00
Ryker_Feng	f92a26d56f	fix(web_fetch): support proxy for Jina reader in restricted networks (#3418) (#3430) ... * fix(web_fetch): support proxy for Jina reader in restricted networks The web_fetch tool built a bare httpx.AsyncClient() with no proxy awareness, so users behind a corporate proxy / in Docker / WSL could not reach https://r.jina.ai and web_fetch timed out. - Add optional `proxy` / `trust_env` params to JinaClient.crawl and wire them from the `web_fetch` tool config (with type coercion for YAML string values). - Pass internal service hostnames through NO_PROXY in both compose files so proxy env inherited via env_file does not break in-cluster calls (gateway/provisioner/etc). - Load proxy vars from .env into the shell in scripts/docker.sh so the NO_PROXY interpolation can merge user-provided values on `make` path. - Document proxy/trust_env options in config.example.yaml. Closes #3418 * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>	2026-06-08 23:25:29 +08:00
DanielWalnut	cd5bedaa74	feat: MiniMax provider for image/video/podcast skills + new music-generation skill (#3437) ... * docs(spec): MiniMax integration for generation skills + new music skill Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(plan): MiniMax generation providers implementation plan Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * test(skills): add importlib loader + FakeResp for skill tests * test(skills): register loaded module in sys.modules; raise requests.HTTPError in FakeResp * feat(image-generation): add MiniMax provider with env auto-detect Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(image-generation): guard unknown provider, derive ref MIME, strengthen tests Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(video-generation): add MiniMax provider with async poll/download Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(video-generation): surface base_resp errors while polling; add timeout test * feat(podcast-generation): add MiniMax t2a_v2 provider with env auto-detect Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(podcast-generation): restore TTS credential guard; add volcengine + voice tests Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(music-generation): new MiniMax music skill via skill-creator Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * refactor(music-generation): treat empty lyrics as absent; test no-audio-data path * refactor(skills): add request timeouts to MiniMax network calls Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Potential fix for pull request finding 'Explicit returns mixed with implicit (fall through) returns' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> * fix(models): strip inconsistent user-message names for MiniMax chat DeerFlow middlewares tag user messages with provenance names (user-input, summary, loop_warning); langchain serializes them into the OpenAI-compatible payload and MiniMax rejects mismatched user-message names with "user name must be consistent (2013)". PatchedChatMiniMax now drops the per-message name from user-role messages. Point the config.example MiniMax models at PatchedChatMiniMax so they also get reasoning_content mapping. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(image-generation): MiniMax sends JSON prompt field, guard 1500-char limit MiniMax image-01 takes one text string capped at 1500 chars, but the skill was sending the whole structured JSON. The MiniMax provider now extracts the JSON `prompt` field (relying on prompt_optimizer to expand it) and fails fast with a clear error before calling the API when that field exceeds 1500 chars. Authoring stays provider-agnostic; Gemini still receives the full JSON. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(podcast-generation): per-provider TTS concurrency and retry/backoff Each TTS provider owns its concurrency internally — MiniMax runs single-threaded to reduce rate-limit failures, Volcengine keeps 4 workers — with automatic retry and backoff on transient HTTP and base_resp errors. No caller-facing concurrency knob. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(skills): address Copilot review comments on generation skills - video: add raise_for_status + timeout to the Gemini download/POST/poll calls so non-2xx responses surface as clear HTTP errors instead of JSON/KeyError or hangs - video: check the task Fail status before the generic base_resp check so the failure keeps its task_id context - video/image: create the output file parent directory before writing (matching music-generation) so nested output paths do not raise FileNotFoundError - music: require a non-empty prompt and fail fast with ValueError instead of sending an empty prompt to the API Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(scripts): reclaim dev ports across worktrees in make stop/dev All deer-flow worktrees (main checkout + linked worktrees) hardcode the same dev ports (8001/3000/2026), so a service started from any worktree must be reclaimable from another. stop_all now resolves the set of worktree roots (DEERFLOW_ROOTS) and treats a process as deer-flow-owned when its open files live under any of them. It also force-kills survivors on 2026 alongside 8001/3000, fixing `make dev` aborting on the nginx port preflight when a prior nginx lingered on 2026. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(view-image): hide the injected image-context message from the UI ViewImageMiddleware injects a HumanMessage (text + base64 images) so the vision model can see viewed images, but it was the only internal injector that set neither hide_from_ui nor a hidden name, so it leaked into the chat UI (and IM channels) as a user bubble reading "Here are the images you've viewed:". Mark it with additional_kwargs={"hide_from_ui": True}, matching todo/dynamic_context injections, which the frontend isHiddenFromUIMessage and the channel sender already honor. The model still receives the full content. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(minimax): mark M2.7 models as text-only (no vision) MiniMax M2.7 / M2.7-highspeed do not support vision; only M3 does. The provider config asserted vision support for M2.7 in four places. - config.example.yaml: 4 M2.7 entries -> supports_vision: false - backend/docs/CONFIGURATION.md: M2.7 + highspeed -> supports_vision: false - wizard: add LLMProvider.model_vision_overrides + extra_config_for() so selecting an M2.7 model writes supports_vision: false while M3 (default) keeps vision; wire it through setup_wizard.py - tests: M2.7-highspeed fixture -> supports_vision=False; add test_minimax_vision_is_per_model Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>	2026-06-08 22:04:38 +08:00
DanielWalnut	3b105d1e5f	fix(suggestions): strip inline <think> reasoning before parsing follow-up questions (#3435) ... Reasoning models such as MiniMax-M3 inline their chain-of-thought into the message content as <think>...</think> (reasoning_split defaults to false) instead of a separate reasoning_content field. The follow-up-suggestions endpoint extracted the JSON array via find('[') / rfind(']'), which silently broke whenever the reasoning text contained '[' or ']' — or when long thinking hit max_tokens and truncated before the array was emitted — returning empty suggestions. - Add _strip_think_blocks() and apply it before JSON extraction; it removes complete <think>...</think> blocks (case-insensitive) and drops an unclosed <think> left by max_tokens truncation. - Document the MiniMax thinking toggle in config.example.yaml (when_thinking_enabled: adaptive / when_thinking_disabled: disabled) so thinking_enabled=False actually disables reasoning on M3; note that M2.x models always think and rely on the defensive strip above. - Tests cover complete/unclosed think blocks, brackets-inside-think, think + code-fence, and an end-to-end suggestions case reproducing the empty-result bug. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-08 15:48:00 +08:00
Nan Gao	10c1d9f417	fix(search): fix DDGS Wikipedia region handling (#3423)	2026-06-08 07:59:50 +08:00
Octopus	0ffa995fe9	feat: upgrade MiniMax default model to M3 (#3357) ... - Add MiniMax-M3 to model list and set as default - Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed - Remove older models (M2.5) - Update related tests Co-authored-by: octo-patch <octo-patch@github.com>	2026-06-03 17:04:16 +08:00
Xinmin Zeng	ca487578a4	feat(agent): add ToolOutputBudgetMiddleware for oversized tool output protection (#3303) ... * feat(agent): add ToolOutputBudgetMiddleware for oversized tool output protection Closes #3289. Adds a unified middleware that enforces per-result budgets on ALL tool outputs (MCP, sandbox, community, custom), preventing oversized external tool results from blowing the model context window. Design informed by claude-code (persistToolResult), hermes-agent (tool_result_storage), and pi (OutputAccumulator) — the three most mature implementations in production coding-agent frameworks. Key features: - Disk externalization: oversized outputs written to thread-local .tool-results/ directory, replaced with compact preview + file reference. Model can read full output via read_file with offset/limit. - Fallback truncation: head+tail truncation when disk is unavailable (no thread_data, write failure), ensuring the context is always protected. - read_file exemption: prevents persist-read-persist infinite loops (independently discovered by claude-code, hermes-agent, and pi). - Per-tool threshold overrides via config. - Line-boundary-aware truncation (no partial lines in previews). - Multimodal content passthrough (images/structured blocks skip budget). - Historical ToolMessage patching in wrap_model_call for checkpoint recovery scenarios. Related: #3222 (design RFC), #1844 (comprehensive context management), #3137 (write_file args compaction), #1677 (sandbox tool truncation). * test: add MCP content_and_artifact format coverage Add 5 tests for MCP tool output format (list of content blocks): - text content blocks are extracted and budgeted - multiple text blocks are joined and budgeted - image content blocks are skipped (multimodal passthrough) - mixed text+image blocks are skipped - small text blocks pass through unchanged Total test count: 59 (was 54). * fix(agent): address Codex review findings for ToolOutputBudgetMiddleware Three issues identified by Codex code review, all fixed: 1. `enabled` config field was unused — middleware now checks `config.enabled` and skips all processing when disabled. 2. `_build_fallback` could exceed `fallback_max_chars` — the marker text itself (~139 chars) was not deducted from the budget. Now pre-computes marker overhead and falls back to hard slice when max_chars is smaller than the marker. 3. Sync file I/O in async path — `awrap_tool_call` now delegates `_patch_result` to `asyncio.to_thread` to avoid blocking the event loop during disk writes. Tests updated to use realistic fallback_max_chars values (500+) that can accommodate the marker overhead, plus two new tests: - `test_result_never_exceeds_max_chars` (parametric across sizes) - `test_very_small_max_chars_does_not_crash` * fix(agent): address Copilot review — path traversal, async perf, shared config 1. Path traversal defense: sanitize tool_name via _sanitize_tool_name() (strips separators, .., absolute paths), validate storage_subdir is relative, and verify resolved filepath stays inside storage_dir. 2. Async hot-path optimization: add _needs_budget() cheap check before asyncio.to_thread offload — small outputs (99% of calls) skip the thread overhead entirely. 3. Replace shared module-level _DEFAULT_CONFIG with _default_config() factory to prevent cross-instance mutation of mutable fields. 12 new tests: TestSanitizeToolName (5), TestExternalizePathTraversal (3), TestNeedsBudget (4). * fix(agent): correct preview hint to match read_file actual API read_file uses start_line/end_line (1-indexed line numbers), not offset/limit. The previous wording was copied from hermes-agent which has a different read_file interface. * perf(agent): hoist hot-path imports, add model-call pre-scan (review #3303) Address maintainer review feedback: 1. Hoist inline imports to module level — `import asyncio` (was in awrap_tool_call hot path) and `from dataclasses import replace` (was in _patch_result) now live at module top. 2. Add a cheap pre-scan to _patch_model_messages so the historical message list is not rebuilt on every model call when nothing is oversized (the common case once results are budgeted at tool-call time). Also adds the same _needs_budget gate to the sync wrap_tool_call for symmetry with awrap_tool_call. The pre-scan is refactored into per-tool-aware helpers (_effective_trigger / _tool_message_over_budget) that mirror the exact trigger conditions in _budget_content — including tool_overrides — so the fast-path can never produce a false negative (silently skipping budgeting for a tool with a low per-tool threshold). 7 new regression tests lock the per-tool-override-through-pre-scan path and the model-call early return. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-29 22:59:26 +08:00
AochenShen99	44677c5eb4	feat(provider) Add patched MiMo reasoning content support (#3298) ... * Add patched MiMo reasoning content support * Clarify MiMo patched model coverage * Remove unused MiMo payload index * Address MiMo review nits	2026-05-28 18:24:32 +08:00
Nan Gao	a64a39dbc0	config: raise default summarization trigger before v2.0-m1 (#3174) ... * config: update summarization configuration * docs: sync summarization trigger guidance	2026-05-23 15:38:25 +08:00
Xinmin Zeng	be0eae9825	fix(runtime): suppress tool execution when provider safety-terminates with tool_calls (#3035) ... * fix(runtime): suppress tool execution when provider safety-terminates with tool_calls When a provider stops generation for safety reasons (OpenAI/Moonshot finish_reason=content_filter, Anthropic stop_reason=refusal, Gemini finish_reason=SAFETY/BLOCKLIST/PROHIBITED_CONTENT/SPII/RECITATION/ IMAGE_SAFETY/...), the response may still carry truncated tool_calls. LangChain's tool router treats any non-empty tool_calls as executable, so partial arguments (e.g. write_file with a half-finished markdown) get dispatched and the agent loops on retry. Add SafetyFinishReasonMiddleware at after_model: detect safety termination via a pluggable detector registry, clear both structured tool_calls and raw additional_kwargs.tool_calls / function_call, preserve response_metadata.finish_reason for downstream observers, stamp additional_kwargs.safety_termination for traces, append a user-facing explanation to message content (list-aware for thinking blocks), and emit a safety_termination custom stream event so SSE consumers can reconcile any "tool starting..." UI. Default detectors cover OpenAI-compatible content_filter, Anthropic refusal, and Gemini safety enums (text + image). Custom providers are added via reflection (same pattern as guardrails). Wired into both lead-agent and subagent runtimes. Closes #3028 * fix(runtime): persist safety_termination as a middleware audit event Address review on #3035: the SSE custom event is great for live consumers but invisible to post-run audit. RunEventStore should carry its own row so operators can answer "which runs were safety-suppressed today?" from a single SQL query without joining the message body. Worker now exposes the run-scoped RunJournal via runtime.context["__run_journal"] (sentinel key, internal channel). SafetyFinishReasonMiddleware calls the previously-unused RunJournal.record_middleware, which emits event_type = "middleware:safety_termination" category = "middleware" content = {name, hook, action, changes={ detector, reason_field, reason_value, suppressed_tool_call_count, suppressed_tool_call_names, suppressed_tool_call_ids, message_id, extras}} Tool *arguments* are deliberately excluded — those are the very content the provider filtered and persisting them would defeat the purpose of the safety filter (per review note in #3035). Graceful skips when journal is absent (subagent runtime, unit tests, no-event-store local dev). Journal exceptions never propagate into the agent loop. Refs #3028 * fix(runtime): satisfy ruff format + address Copilot review - ruff format on safety_finish_reason_config.py and e2e demo (CI lint failed on ruff format --check; backend Makefile lint target runs ruff check AND ruff format --check). - Docstring on SafetyFinishReasonConfig now says resolve_variable to match the actual loader used in from_config (the wording was resolve_class previously; behavior is unchanged — resolve_variable mirrors how guardrails.provider is loaded). - Switch the AIMessage type check in SafetyFinishReasonMiddleware._apply from getattr(last, "type") == "ai" to isinstance(last, AIMessage), matching TokenUsageMiddleware / TodoMiddleware / ViewImageMiddleware / SummarizationMiddleware which are the dominant pattern. Refs #3028	2026-05-22 21:20:28 +08:00
john lee	4cb2a22400	docs(config.example): fix Claude thinking example — add supports_thinking and budget_tokens (#3068) ... The commented Claude example used Claude 3.5 Sonnet with when_thinking_enabled but lacked supports_thinking: true. Copying the block and swapping to a Claude 4 model name would silently fall back to non-thinking mode (agent.py line 380 suppresses the error and logs only a warning). A second trap: budget_tokens is required by the Anthropic API when thinking.type == "enabled"; there is no server default. The old example omitted it, so any user who did add supports_thinking: true would get an API error on the first thinking request. Replace with a Claude Sonnet 4 example that includes both fields and inline comments explaining the constraints. Closes #2336 Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-21 21:13:24 +08:00
Yi Tang	48e038f752	feat(channels): enhance Discord with mention-only mode, thread routing, and typing indicators (#2842) ... * feat(channels): enhance Discord with mention-only mode, thread routing, and typing indicators Add mention_only config to only respond when bot is mentioned, with allowed_channels override. Add thread_mode for Hermes-style auto-thread creation. Add periodic typing indicators while bot is processing. * fix(discord): include allowed_channels in mention_only skip condition (line 274) * docs: fix Discord config example to match boolean thread_mode implementation * style: format with ruff * fix(discord): apply Copilot review fixes and resolve lint errors - Remove unused Optional import - Fix thread_ts type hints to str | None - Fix has_mention logic for None values - Implement thread_mode fallback to channel replies on thread creation failure - Fix thread_mode docstring alignment - Fix allowed_channels comment formatting in config.example.yaml * fix(discord): reset context for orphaned threads in mention_only mode When a message arrives in a thread not tracked by _active_threads, clear thread_id and typing_target so the message falls through to the standard channel handling pipeline, which creates a fresh thread instead of incorrectly routing to the stale thread. * fix(discord): create new thread on @ when channel has existing tracked thread When mention_only is enabled and a user @-s the bot in a channel that already has a tracked thread, create a new thread instead of incorrectly routing to the old one. * fix(discord): allow no-@ thread replies while skipping no-@ channel messages The skip block for no-@ messages was too aggressive — it blocked continuation replies within tracked threads AND incorrectly routed no-@ channel messages to the existing thread. Now: - Thread message, no @ → routed to existing tracked thread - Channel message, no @ → skipped - Channel message, with @ → creates new thread * feat(discord): add checkmark reaction to acknowledge received messages * Move discord.py to optional dependency and auto-detect from config.yaml - Add discord extra to [project.optional-dependencies] in pyproject.toml - Update detect_uv_extras.py to map channels.discord.enabled: true -> --extra discord - Set UV_EXTRAS=discord in docker-compose-dev.yaml gateway env * fix(discord): persist thread-channel mappings to store for recovery after restart Discord's _active_threads dict was purely in-memory, so all channel-to-thread mappings were lost on server restart. This fix bridges ChannelStore into DiscordChannel: - Save thread mappings to store.json after every thread creation - Restore active threads from store on DiscordChannel startup - Pass channel_store to all channels via service.py config injection Store keys follow the pattern: discord:<channel_id>:<thread_id> * fix(discord): address Copilot review — fix types, typing targets, cross-thread safety, and config comments * fix(tests): add multitask_strategy param to mock for clarification follow-up test * fix(tests): explicitly set model_name=None for title middleware test isolation * fix(discord): use trigger_typing() instead of typing() for typing indicators discord.py 2.x TextChannel.typing() and Thread.typing() are async context managers, not one-shot coroutines. Use trigger_typing() for periodic typing indicator pings. * fix(discord): cancel typing tasks on channel shutdown Prevents 'Task was destroyed but it is pending' warnings when the Discord client stops while typing indicator loops are still running. * fix(scripts): detect nested YAML config for discord extra section_value() only matched top-level YAML sections. Added nested_section_value() that handles two-level nesting (e.g., channels.discord.enabled), so auto-detection of the discord extra works when config uses the standard nested format. * fix(docker): remove hard-coded UV_EXTRAS=discord from dev compose Relies on auto-detection via detect_uv_extras.py instead of forcing discord.py install even when channels.discord.enabled is false. Matches production docker-compose.yaml behavior (UV_EXTRAS:-). * refactor(nginx): move proxy_buffering/proxy_cache to server level DRY cleanup — these directives were repeated in 14 location blocks. Set at server level once, reducing duplication and risk of drift. * fix(discord): use dedicated JSON file for thread persistence Replace ChannelStore usage for Discord thread-ID persistence with a dedicated discord_threads.json file. ChannelStore is designed to map IM conversations to DeerFlow thread IDs — using it to persist Discord thread IDs was semantically wrong and confusing. Changes: - _save_thread() now reads/writes a simple {channel_id: thread_id} JSON dict - _load_active_threads() reads directly from the JSON file - File path derived from ChannelStore directory (when available) or defaults to ~/.deer-flow/channels/discord_threads.json - Removed unused ChannelStore import * fix(discord): address WillemJiang's code review comments on PR #2842 1. Remove semantically incorrect message_in_thread variable. At this code point (after the Thread case is handled above), we're guaranteed to be in a channel, not a thread. Always apply mention_only check here. 2. Add _active_thread_ids reverse-lookup set for O(1) thread ID membership checks instead of O(n) scan of _active_threads.values(). Keep the set in sync with _active_threads in _load_active_threads() and _save_thread(). 3. Add _thread_store_lock (threading.Lock) to protect _active_threads and the JSON file from concurrent access between the Discord loop thread (_run_client) and the main thread (_load_active_threads, _save_thread).	2026-05-15 22:30:05 +08:00
Xinmin Zeng	94da8f67d7	fix(scripts): preserve uv extras across make dev restarts (#2754) (#2767) ... `make dev` ran `uv sync` unconditionally on every restart, wiping any optional extras the user had installed manually with `uv sync --all-packages --extra postgres`. The Docker image-build path already solved this via the `UV_EXTRAS` build-arg in backend/Dockerfile; the local serve.sh path and the docker-compose-dev startup command were the remaining outliers. `scripts/serve.sh` now resolves extras before `uv sync`: 1. honors `UV_EXTRAS` (parity with backend/Dockerfile and docker/docker-compose.yaml — no new convention introduced); 2. falls back to parsing config.yaml — `database.backend: postgres` or legacy `checkpointer.type: postgres` auto-pins `--extra postgres`, so the common case needs zero extra config. 3. detector stderr is no longer suppressed, so whitelist warnings or crashes surface to the dev terminal (review feedback). Detection lives in `scripts/detect_uv_extras.py` (stdlib-only — has to run before the venv exists). Extra names are validated against `^[A-Za-z][A-Za-z0-9_-]*$` so a stray shell metacharacter in `.env` cannot reach `uv sync` downstream (defense in depth). `docker/docker-compose-dev.yaml`'s startup command is now extracted to `docker/dev-entrypoint.sh` (review feedback — the inline command had grown to a ~350-char one-liner). The script: - parses comma/whitespace-separated UV_EXTRAS, applying the same `^[A-Za-z][A-Za-z0-9_-]*$` whitelist as the local detector; - emits one `--extra X` flag per token, so `UV_EXTRAS=postgres,ollama` works in Docker dev too (harmonized with local — review feedback); - calls `uv sync --all-packages` (PR #2584) so workspace member extras (deerflow-harness's postgres extra) are installed; - keeps the existing self-heal `(uv sync || (recreate venv && retry))` branch; - exposes `--print-extras` for dry-run testing. The compose file mounts the script read-only at runtime, so script edits take effect on `make docker-restart` without an image rebuild. The `--no-sync` alternative (a separate suggestion in the issue thread) was considered but rejected for dev paths because it would drop the self-heal branch and the auto-pickup of new pyproject deps. `--no-sync` is already in use for the production CMD (`backend/Dockerfile:101`) where it's appropriate. Updates the asyncpg-missing error message to include the `--all-packages` flag (matching #2584) plus the persistent install flow, and expands `config.example.yaml` so all three install paths (local / docker dev / docker image build) are documented with their multi-extra capabilities. Tests: - `tests/test_detect_uv_extras.py` (21 tests) — local-path env parsing, YAML edge cases, env-vs-config precedence, whitelist rejection of shell metacharacters. - `tests/test_dev_entrypoint.py` (15 tests) — docker-path validation via `--print-extras`, multi-extra parsing, metacharacter abort. - `tests/test_persistence_scaffold.py` (22 tests, unchanged) — passes with the merged `--all-packages --extra postgres` error message. Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-10 22:28:29 +08:00
YuJitang	5127f08e1a	enable token usage by default (#2841)	2026-05-10 22:00:57 +08:00
Tao Liu	daa3ffc29b	feat(loop-detection): make loop detection configurable with per-tool frequency overrides (#2711) ... * Make loop detection configurable Expose LoopDetectionMiddleware thresholds through config.yaml while preserving existing defaults and allowing the middleware to be disabled. Refs bytedance/deer-flow#2517 * feat(loop-detection): add per-tool tool_freq_overrides to Phase 1 Adds ToolFreqOverride model and tool_freq_overrides field to LoopDetectionConfig, wires it through LoopDetectionMiddleware, and documents the option in config.example.yaml. Resolves the gap flagged in the #2586 review: without per-tool overrides, users hit by #2510/#2511 (RNA-seq workflows exceeding the bash hard limit) had no way to raise thresholds for one tool without loosening the global limit for every tool. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * docs(loop-detection): document tool_freq_overrides in LoopDetectionMiddleware docstring Add the missing Args entry for tool_freq_overrides, explaining the (warn, hard_limit) tuple structure and how per-tool thresholds supersede the global tool_freq_warn / tool_freq_hard_limit for named tools. Also run ruff format on the three files flagged by the lint check. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(loop-detection): validate LoopDetectionMiddleware __init__ params eagerly Raise clear ValueError at construction time instead of crashing at unpack-time inside _track_and_check when bad values are passed: - tool_freq_overrides: must be 2-tuples of positive ints with hard_limit >= warn - scalar thresholds: warn_threshold, hard_limit, tool_freq_warn, tool_freq_hard_limit must be >= 1 and hard limits must >= their warn pairs - window_size, max_tracked_threads must be >= 1 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(test): isolate credential loader directory-path test from real ~/.claude The test didn't monkeypatch HOME, so on any machine with real Claude Code credentials at ~/.claude/.credentials.json the function fell through to those credentials and the assertion failed. Adding HOME redirect ensures the default credential path doesn't exist during the test. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * style(test): add blank lines after import pytest in TestInitValidation Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(loop-detection): collapse dual validation to LoopDetectionConfig Modifications - LoopDetectionMiddleware.__init__: stripped of all ValueError raises; becomes a plain field-assignment constructor. - LoopDetectionMiddleware.from_config: classmethod that builds the middleware from a Pydantic-validated LoopDetectionConfig and handles the ToolFreqOverride -> tuple[int, int] conversion. - agents/factory.py: SDK construction routed through LoopDetectionMiddleware.from_config(LoopDetectionConfig()) so the defaults path is Pydantic-validated too. - agents/lead_agent/agent.py: uses from_config instead of unpacking config fields by hand. - tests/test_loop_detection_middleware.py: deleted TestInitValidation (16 methods exercising the removed __init__ checks); added TestFromConfig (4 tests: scalar field mapping, override tuple conversion, empty overrides, behavioral smoke test). Result: one validation layer (Pydantic), zero duplication, no __new__ hacks. Both production construction sites flow through LoopDetectionConfig. Test results make test -> 2977 passed, 18 skipped, 0 failed (137s) make format -> All checks passed; 411 files left unchanged * feat(agents): make loop_detection configurable in create_deerflow_agent Adds a `loop_detection: bool | AgentMiddleware = True` field to RuntimeFeatures, mirroring the existing pattern used by `sandbox`, `memory`, and `vision`. SDK users can now disable LoopDetectionMiddleware or replace it with a custom instance built from their own LoopDetectionConfig — e.g. `LoopDetectionMiddleware.from_config(my_cfg)` — instead of being stuck with the hardcoded defaults previously installed by the SDK factory. The lead-agent path (which already reads AppConfig.loop_detection) is unchanged, and the default `True` preserves prior always-on behavior for all existing callers. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: knight0940 <631532668@qq.com> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> Co-authored-by: Amorend <142649913+knight0940@users.noreply.github.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-07 16:15:15 +08:00
wanxsb	44ab21fc44	feat(community): add Serper web search provider (#2630) ... * feat(community): add Serper web search provider Add a new community search provider backed by the Serper Google Search API (https://serper.dev). Serper returns real-time Google results via a simple JSON API and requires only an API key — no extra Python package. Changes: - backend/packages/harness/deerflow/community/serper/__init__.py - backend/packages/harness/deerflow/community/serper/tools.py Implements web_search_tool using httpx (already a project dependency). API key is read from config.yaml `api_key` field or SERPER_API_KEY env var. Follows the same interface / output shape as the existing ddg_search provider. Exposes max_results parameter (default 5) with config override logic. - backend/tests/test_serper_tools.py Unit tests covering API key resolution, config overrides, HTTP errors, empty results, and parameter passing. - config.example.yaml: add commented-out Serper example alongside other providers - .env.example: add SERPER_API_KEY placeholder Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix the lint error * Fix the lint error --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-02 16:22:35 +08:00
Nan Gao	c09c334544	fix(harness): resolve runtime paths from project root (#2642) ... * fix(harness): resolve runtime paths from project root * docs(config): update * fix(config): address runtime path review feedback * test(config): fix skills path e2e root * test(config): cover legacy config fallback when project root lacks config files Verifies that when DEER_FLOW_PROJECT_ROOT is unset and cwd has no config.yaml/extensions_config.json, AppConfig and ExtensionsConfig fall back to the legacy backend/repo-root candidates — the backward-compat path requested in PR #2642 review. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-01 22:19:50 +08:00
KiteEater	8939ccaed2	fix(uploads): enforce streaming upload limits in gateway (#2589) ... * fix: enforce gateway upload limits * fix: acquire sandbox before upload writes * Fix upload limit config wiring * Sanitize upload size error filenames * test: call upload routes unwrapped * fix: guard upload limits endpoint --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>	2026-05-01 20:19:30 +08:00
He Wang	08afdcb907	feat(channels): add DingTalk channel integration (#2628) ... * feat(channels): add DingTalk channel integration Add a new DingTalk messaging channel using the dingtalk-stream SDK with Stream Push (WebSocket), requiring no public IP. Supports both plain sampleMarkdown replies and optional AI Card streaming for a typewriter effect when card_template_id is configured. - Add DingTalkChannel implementation with token management, message routing, allowed_users filtering, and markdown adaptation - Register dingtalk in channel service registry and capability map - Propagate inbound metadata to outbound messages in ChannelManager for DingTalk sender context (sender_staff_id, conversation_type) - Add dingtalk-stream dependency to pyproject.toml - Add configuration examples in config.example.yaml and .env.example - Update all README translations with setup instructions - Add comprehensive test suite (test_dingtalk_channel.py) and metadata propagation test in test_channels.py - Update backend CLAUDE.md to document DingTalk channel Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): address PR review feedback for DingTalk integration - Replace runtime mutation of CHANNEL_CAPABILITIES with a `supports_streaming` property on the Channel base class, overridden by DingTalkChannel, FeishuChannel, and WeComChannel - Store stream client reference and attempt graceful disconnect in stop(); guard _on_chatbot_message with _running check to prevent post-stop message processing - Use msg.chat_id as the primary routing key in send/send_file via a shared _resolve_routing helper, with metadata as fallback - Fix process() return type annotation from tuple[str, str] to tuple[int, str] to match AckMessage.STATUS_OK - Protect _incoming_messages with threading.Lock for cross-thread safety between the Stream Push thread and the asyncio loop - Re-add Docker Compose URL guidance removed during DingTalk setup docs addition in README.md - Fix incomplete sentence in README_zh.md (missing verb "启用") Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(docs): restore plain paragraph format for Docker Compose note Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): fix isinstance TypeError and add file size guard in DingTalk channel Use tuple syntax for isinstance() type check to avoid runtime TypeError with PEP 604 union types. Add upload size limit (20MB) before reading files into memory. Narrow exception handlers to specific types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): propagate markdown fallback errors and validate access token response - Re-raise exceptions in _send_markdown_fallback to prevent partial deliveries (files sent without accompanying text) - Validate _get_access_token response: reject non-dict bodies, empty tokens, and coerce invalid expireIn to a safe default - Add tests for both fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): validate upload response and broaden send_file exception handling - Validate _upload_media JSON response: handle JSONDecodeError and non-dict payloads gracefully by returning None - Broaden send_file exception tuple to include TypeError and AttributeError for unexpected JSON shapes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): fix streaming race on channel registration and slim outbound metadata - Register channel in service before calling start() to avoid race where background receiver publishes inbound before registration, causing manager to fall back to static CHANNEL_CAPABILITIES - Strip known-large metadata keys (raw_message, ref_msg) from outbound messages to prevent memory bloat from propagated inbound payloads Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update service.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update CLAUDE.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>	2026-04-30 11:25:33 +08:00
JeffJiang	35ef8b7c13	feat: add default database configuration for AppConfig and update example config	2026-04-26 20:46:45 +08:00
JeffJiang	7bf618de67	Refactor DeerFlow to use Gateway's LangGraph-compatible API ... - Updated documentation and comments to reflect the transition from LangGraph Server to Gateway. - Changed default URLs in ChannelManager and tests to point to Gateway. - Removed references to LangGraph Server in deployment scripts and configurations. - Updated Nginx configuration to route API traffic to Gateway. - Adjusted frontend configurations to utilize Gateway's API. - Removed LangGraph service from Docker Compose files, consolidating services under Gateway. - Added regression tests to ensure Gateway integration works as expected. Co-authored-by: Copilot <copilot@github.com>	2026-04-26 20:38:34 +08:00
rayhpeng	56d5fa3337	feat(persistence):Unified persistence layer with event store, feedback, and rebase cleanup (#2134) ... * feat(persistence): add unified persistence layer with event store, token tracking, and feedback (#1930) * feat(persistence): add SQLAlchemy 2.0 async ORM scaffold Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add RunEventStore ABC + MemoryRunEventStore Phase 2-A prerequisite for event storage: adds the unified run event stream interface (RunEventStore) with an in-memory implementation, RunEventsConfig, gateway integration, and comprehensive tests (27 cases). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add ORM models, repositories, DB/JSONL event stores, RunJournal, and API endpoints Phase 2-B: run persistence + event storage + token tracking. - ORM models: RunRow (with token fields), ThreadMetaRow, RunEventRow - RunRepository implements RunStore ABC via SQLAlchemy ORM - ThreadMetaRepository with owner access control - DbRunEventStore with trace content truncation and cursor pagination - JsonlRunEventStore with per-run files and seq recovery from disk - RunJournal (BaseCallbackHandler) captures LLM/tool/lifecycle events, accumulates token usage by caller type, buffers and flushes to store - RunManager now accepts optional RunStore for persistent backing - Worker creates RunJournal, writes human_message, injects callbacks - Gateway deps use factory functions (RunRepository when DB available) - New endpoints: messages, run messages, run events, token-usage - ThreadCreateRequest gains assistant_id field - 92 tests pass (33 new), zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add user feedback + follow-up run association Phase 2-C: feedback and follow-up tracking. - FeedbackRow ORM model (rating +1/-1, optional message_id, comment) - FeedbackRepository with CRUD, list_by_run/thread, aggregate stats - Feedback API endpoints: create, list, stats, delete - follow_up_to_run_id in RunCreateRequest (explicit or auto-detected from latest successful run on the thread) - Worker writes follow_up_to_run_id into human_message event metadata - Gateway deps: feedback_repo factory + getter - 17 new tests (14 FeedbackRepository + 3 follow-up association) - 109 total tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test+config: comprehensive Phase 2 test coverage + deprecate checkpointer config - config.example.yaml: deprecate standalone checkpointer section, activate unified database:sqlite as default (drives both checkpointer + app data) - New: test_thread_meta_repo.py (14 tests) — full ThreadMetaRepository coverage including check_access owner logic, list_by_owner pagination - Extended test_run_repository.py (+4 tests) — completion preserves fields, list ordering desc, limit, owner_none returns all - Extended test_run_journal.py (+8 tests) — on_chain_error, track_tokens=false, middleware no ai_message, unknown caller tokens, convenience fields, tool_error, non-summarization custom event - Extended test_run_event_store.py (+7 tests) — DB batch seq continuity, make_run_event_store factory (memory/db/jsonl/fallback/unknown) - Extended test_phase2b_integration.py (+4 tests) — create_or_reject persists, follow-up metadata, summarization in history, full DB-backed lifecycle - Fixed DB integration test to use proper fake objects (not MagicMock) for JSON-serializable metadata - 157 total Phase 2 tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * config: move default sqlite_dir to .deer-flow/data Keep SQLite databases alongside other DeerFlow-managed data (threads, memory) under the .deer-flow/ directory instead of a top-level ./data folder. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): remove UTFJSON, use engine-level json_serializer + datetime.now() - Replace custom UTFJSON type with standard sqlalchemy.JSON in all ORM models. Add json_serializer=json.dumps(ensure_ascii=False) to all create_async_engine calls so non-ASCII text (Chinese etc.) is stored as-is in both SQLite and Postgres. - Change ORM datetime defaults from datetime.now(UTC) to datetime.now(), remove UTC imports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): simplify deps.py with getter factory + inline repos - Replace 6 identical getter functions with _require() factory. - Inline 3 _make_*_repo() factories into langgraph_runtime(), call get_session_factory() once instead of 3 times. - Add thread_meta upsert in start_run (services.py). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(docker): add UV_EXTRAS build arg for optional dependencies Support installing optional dependency groups (e.g. postgres) at Docker build time via UV_EXTRAS build arg: UV_EXTRAS=postgres docker compose build Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(journal): fix flush, token tracking, and consolidate tests RunJournal fixes: - _flush_sync: retain events in buffer when no event loop instead of dropping them; worker's finally block flushes via async flush(). - on_llm_end: add tool_calls filter and caller=="lead_agent" guard for ai_message events; mark message IDs for dedup with record_llm_usage. - worker.py: persist completion data (tokens, message count) to RunStore in finally block. Model factory: - Auto-inject stream_usage=True for BaseChatOpenAI subclasses with custom api_base, so usage_metadata is populated in streaming responses. Test consolidation: - Delete test_phase2b_integration.py (redundant with existing tests). - Move DB-backed lifecycle test into test_run_journal.py. - Add tests for stream_usage injection in test_model_factory.py. - Clean up executor/task_tool dead journal references. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): widen content type to str|dict in all store backends Allow event content to be a dict (for structured OpenAI-format messages) in addition to plain strings. Dict values are JSON-serialized for the DB backend and deserialized on read; memory and JSONL backends handle dicts natively. Trace truncation now serializes dicts to JSON before measuring. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(events): use metadata flag instead of heuristic for dict content detection Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(converters): add LangChain-to-OpenAI message format converters Pure functions langchain_to_openai_message, langchain_to_openai_completion, langchain_messages_to_openai, and _infer_finish_reason for converting LangChain BaseMessage objects to OpenAI Chat Completions format, used by RunJournal for event storage. 15 unit tests added. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(converters): handle empty list content as null, clean up test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): human_message content uses OpenAI user message format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): ai_message uses OpenAI format, add ai_tool_call message event - ai_message content now uses {"role": "assistant", "content": "..."} format - New ai_tool_call message event emitted when lead_agent LLM responds with tool_calls - ai_tool_call uses langchain_to_openai_message converter for consistent format - Both events include finish_reason in metadata ("stop" or "tool_calls") Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add tool_result message event with OpenAI tool message format Cache tool_call_id from on_tool_start keyed by run_id as fallback for on_tool_end, then emit a tool_result message event (role=tool, tool_call_id, content) after each successful tool completion. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): summary content uses OpenAI system message format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format Add on_chat_model_start to capture structured prompt messages as llm_request events. Replace llm_end trace events with llm_response using OpenAI Chat Completions format. Track llm_call_index to pair request/response events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add record_middleware method for middleware trace events Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(events): add full run sequence integration test for OpenAI content format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): align message events with checkpoint format and add middleware tag injection - Message events (ai_message, ai_tool_call, tool_result, human_message) now use BaseMessage.model_dump() format, matching LangGraph checkpoint values.messages - on_tool_end extracts tool_call_id/name/status from ToolMessage objects - on_tool_error now emits tool_result message events with error status - record_middleware uses middleware:{tag} event_type and middleware category - Summarization custom events use middleware:summarize category - TitleMiddleware injects middleware:title tag via get_config() inheritance - SummarizationMiddleware model bound with middleware:summarize tag - Worker writes human_message using HumanMessage.model_dump() Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): switch search endpoint to threads_meta table and sync title - POST /api/threads/search now queries threads_meta table directly, removing the two-phase Store + Checkpointer scan approach - Add ThreadMetaRepository.search() with metadata/status filters - Add ThreadMetaRepository.update_display_name() for title sync - Worker syncs checkpoint title to threads_meta.display_name on run completion - Map display_name to values.title in search response for API compatibility Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): history endpoint reads messages from event store - POST /api/threads/{thread_id}/history now combines two data sources: checkpointer for checkpoint_id, metadata, title, thread_data; event store for messages (complete history, not truncated by summarization) - Strip internal LangGraph metadata keys from response - Remove full channel_values serialization in favor of selective fields Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove duplicate optional-dependencies header in pyproject.toml Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(middleware): pass tagged config to TitleMiddleware ainvoke call Without the config, the middleware:title tag was not injected, causing the LLM response to be recorded as a lead_agent ai_message in run_events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve merge conflict in .env.example Keep both DATABASE_URL (from persistence-scaffold) and WECOM credentials (from main) after the merge. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address review feedback on PR #1851 - Fix naive datetime.now() → datetime.now(UTC) in all ORM models - Fix seq race condition in DbRunEventStore.put() with FOR UPDATE and UNIQUE(thread_id, seq) constraint - Encapsulate _store access in RunManager.update_run_completion() - Deduplicate _store.put() logic in RunManager via _persist_to_store() - Add update_run_completion to RunStore ABC + MemoryRunStore - Wire follow_up_to_run_id through the full create path - Add error recovery to RunJournal._flush_sync() lost-event scenario - Add migration note for search_threads breaking change - Fix test_checkpointer_none_fix mock to set database=None Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update uv.lock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address 22 review comments from CodeQL, Copilot, and Code Quality Bug fixes: - Sanitize log params to prevent log injection (CodeQL) - Reset threads_meta.status to idle/error when run completes - Attach messages only to latest checkpoint in /history response - Write threads_meta on POST /threads so new threads appear in search Lint fixes: - Remove unused imports (journal.py, migrations/env.py, test_converters.py) - Convert lambda to named function (engine.py, Ruff E731) - Remove unused logger definitions in repos (Ruff F841) - Add logging to JSONL decode errors and empty except blocks - Separate assert side-effects in tests (CodeQL) - Remove unused local variables in tests (Ruff F841) - Fix max_trace_content truncation to use byte length, not char length Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply ruff format to persistence and runtime files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Potential fix for pull request finding 'Statement has no effect' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> * refactor(runtime): introduce RunContext to reduce run_agent parameter bloat Extract checkpointer, store, event_store, run_events_config, thread_meta_repo, and follow_up_to_run_id into a frozen RunContext dataclass. Add get_run_context() in deps.py to build the base context from app.state singletons. start_run() uses dataclasses.replace() to enrich per-run fields before passing ctx to run_agent. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): move sanitize_log_param to app/gateway/utils.py Extract the log-injection sanitizer from routers/threads.py into a shared utils module and rename to sanitize_log_param (public API). Eliminates the reverse service → router import in services.py. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * perf: use SQL aggregation for feedback stats and thread token usage Replace Python-side counting in FeedbackRepository.aggregate_by_run with a single SELECT COUNT/SUM query. Add RunStore.aggregate_tokens_by_thread abstract method with SQL GROUP BY implementation in RunRepository and Python fallback in MemoryRunStore. Simplify the thread_token_usage endpoint to delegate to the new method, eliminating the limit=10000 truncation risk. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: annotate DbRunEventStore.put() as low-frequency path Add docstring clarifying that put() opens a per-call transaction with FOR UPDATE and should only be used for infrequent writes (currently just the initial human_message event). High-throughput callers should use put_batch() instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): fall back to Store search when ThreadMetaRepository is unavailable When database.backend=memory (default) or no SQL session factory is configured, search_threads now queries the LangGraph Store instead of returning 503. Returns empty list if neither Store nor repo is available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): introduce ThreadMetaStore ABC for backend-agnostic thread metadata Add ThreadMetaStore abstract base class with create/get/search/update/delete interface. ThreadMetaRepository (SQL) now inherits from it. New MemoryThreadMetaStore wraps LangGraph BaseStore for memory-mode deployments. deps.py now always provides a non-None thread_meta_repo, eliminating all `if thread_meta_repo is not None` guards in services.py, worker.py, and routers/threads.py. search_threads no longer needs a Store fallback branch. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(history): read messages from checkpointer instead of RunEventStore The /history endpoint now reads messages directly from the checkpointer's channel_values (the authoritative source) instead of querying RunEventStore.list_messages(). The RunEventStore API is preserved for other consumers. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address new Copilot review comments - feedback.py: validate thread_id/run_id before deleting feedback - jsonl.py: add path traversal protection with ID validation - run_repo.py: parse `before` to datetime for PostgreSQL compat - thread_meta_repo.py: fix pagination when metadata filter is active - database_config.py: use resolve_path for sqlite_dir consistency Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Implement skill self-evolution and skill_manage flow (#1874) * chore: ignore .worktrees directory * Add skill_manage self-evolution flow * Fix CI regressions for skill_manage * Address PR review feedback for skill evolution * fix(skill-evolution): preserve history on delete * fix(skill-evolution): tighten scanner fallbacks * docs: add skill_manage e2e evidence screenshot * fix(skill-manage): avoid blocking fs ops in session runtime --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> * fix(config): resolve sqlite_dir relative to CWD, not Paths.base_dir resolve_path() resolves relative to Paths.base_dir (.deer-flow), which double-nested the path to .deer-flow/.deer-flow/data/app.db. Use Path.resolve() (CWD-relative) instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Feature/feishu receive file (#1608) * feat(feishu): add channel file materialization hook for inbound messages - Introduce Channel.receive_file(msg, thread_id) as a base method for file materialization; default is no-op. - Implement FeishuChannel.receive_file to download files/images from Feishu messages, save to sandbox, and inject virtual paths into msg.text. - Update ChannelManager to call receive_file for any channel if msg.files is present, enabling downstream model access to user-uploaded files. - No impact on Slack/Telegram or other channels (they inherit the default no-op). * style(backend): format code with ruff for lint compliance - Auto-formatted packages/harness/deerflow/agents/factory.py and tests/test_create_deerflow_agent.py using `ruff format` - Ensured both files conform to project linting standards - Fixes CI lint check failures caused by code style issues * fix(feishu): handle file write operation asynchronously to prevent blocking * fix(feishu): rename GetMessageResourceRequest to _GetMessageResourceRequest and remove redundant code * test(feishu): add tests for receive_file method and placeholder replacement * fix(manager): remove unnecessary type casting for channel retrieval * fix(feishu): update logging messages to reflect resource handling instead of image * fix(feishu): sanitize filename by replacing invalid characters in file uploads * fix(feishu): improve filename sanitization and reorder image key handling in message processing * fix(feishu): add thread lock to prevent filename conflicts during file downloads * fix(test): correct bad merge in test_feishu_parser.py * chore: run ruff and apply formatting cleanup fix(feishu): preserve rich-text attachment order and improve fallback filename handling * fix(docker): restore gateway env vars and fix langgraph empty arg issue (#1915) Two production docker-compose.yaml bugs prevent `make up` from working: 1. Gateway missing DEER_FLOW_CONFIG_PATH and DEER_FLOW_EXTENSIONS_CONFIG_PATH environment overrides. Added in fb2d99f (#1836) but accidentally reverted by ca2fb95 (#1847). Without them, gateway reads host paths from .env via env_file, causing FileNotFoundError inside the container. 2. Langgraph command fails when LANGGRAPH_ALLOW_BLOCKING is unset (default). Empty $${allow_blocking} inserts a bare space between flags, causing ' --no-reload' to be parsed as unexpected extra argument. Fix by building args string first and conditionally appending --allow-blocking. Co-authored-by: cooper <cooperfu@tencent.com> * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities (#1904) * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities Fix `<button>` inside `<a>` invalid HTML in artifact components and add missing `noopener,noreferrer` to `window.open` calls to prevent reverse tabnabbing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(frontend): address Copilot review on tabnabbing and double-tab-open Remove redundant parent onClick on web_fetch ChainOfThoughtStep to prevent opening two tabs on link click, and explicitly null out window.opener after window.open() for defensive tabnabbing hardening. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * refactor(persistence): organize entities into per-entity directories Restructure the persistence layer from horizontal "models/ + repositories/" split into vertical entity-aligned directories. Each entity (thread_meta, run, feedback) now owns its ORM model, abstract interface (where applicable), and concrete implementations under a single directory with an aggregating __init__.py for one-line imports. Layout: persistence/thread_meta/{base,model,sql,memory}.py persistence/run/{model,sql}.py persistence/feedback/{model,sql}.py models/__init__.py is kept as a facade so Alembic autogenerate continues to discover all ORM tables via Base.metadata. RunEventRow remains under models/run_event.py because its storage implementation lives in runtime/events/store/db.py and has no matching repository directory. The repositories/ directory is removed entirely. All call sites in gateway/deps.py and tests are updated to import from the new entity packages, e.g.: from deerflow.persistence.thread_meta import ThreadMetaRepository from deerflow.persistence.run import RunRepository from deerflow.persistence.feedback import FeedbackRepository Full test suite passes (1690 passed, 14 skipped). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(gateway): sync thread rename and delete through ThreadMetaStore The POST /threads/{id}/state endpoint previously synced title changes only to the LangGraph Store via _store_upsert. In sqlite mode the search endpoint reads from the ThreadMetaRepository SQL table, so renames never appeared in /threads/search until the next agent run completed (worker.py syncs title from checkpoint to thread_meta in its finally block). Likewise the DELETE /threads/{id} endpoint cleaned up the filesystem, Store, and checkpointer but left the threads_meta row orphaned in sqlite, so deleted threads kept appearing in /threads/search. Fix both endpoints by routing through the ThreadMetaStore abstraction which already has the correct sqlite/memory implementations wired up by deps.py. The rename path now calls update_display_name() and the delete path calls delete() — both work uniformly across backends. Verified end-to-end with curl in gateway mode against sqlite backend. Existing test suite (1690 passed) and focused router/repo tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): route all thread metadata access through ThreadMetaStore Following the rename/delete bug fix in PR1, migrate the remaining direct LangGraph Store reads/writes in the threads router and services to the ThreadMetaStore abstraction so that the sqlite and memory backends behave identically and the legacy dual-write paths can be removed. Migrated endpoints (threads.py): - create_thread: idempotency check + write now use thread_meta_repo.get/create instead of dual-writing the LangGraph Store and the SQL row. - get_thread: reads from thread_meta_repo.get; the checkpoint-only fallback for legacy threads is preserved. - patch_thread: replaced _store_get/_store_put with thread_meta_repo.update_metadata. - delete_thread_data: dropped the legacy store.adelete; thread_meta_repo.delete already covers it. Removed dead code (services.py): - _upsert_thread_in_store — redundant with the immediately following thread_meta_repo.create() call. - _sync_thread_title_after_run — worker.py's finally block already syncs the title via thread_meta_repo.update_display_name() after each run. Removed dead code (threads.py): - _store_get / _store_put / _store_upsert helpers (no remaining callers). - THREADS_NS constant. - get_store import (router no longer touches the LangGraph Store directly). New abstract method: - ThreadMetaStore.update_metadata(thread_id, metadata) merges metadata into the thread's metadata field. Implemented in both ThreadMetaRepository (SQL, read-modify-write inside one session) and MemoryThreadMetaStore. Three new unit tests cover merge / empty / nonexistent behaviour. Net change: -134 lines. Full test suite: 1693 passed, 14 skipped. Verified end-to-end with curl in gateway mode against sqlite backend (create / patch / get / rename / search / delete). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com> * feat(auth): release-validation pass for 2.0-rc — 12 blockers + simplify follow-ups (#2008) * feat(auth): introduce backend auth module Port RFC-001 authentication core from PR #1728: - JWT token handling (create_access_token, decode_token, TokenPayload) - Password hashing (bcrypt) with verify_password - SQLite UserRepository with base interface - Provider Factory pattern (LocalAuthProvider) - CLI reset_admin tool - Auth-specific errors (AuthErrorCode, TokenError, AuthErrorResponse) Deps: - bcrypt>=4.0.0 - pyjwt>=2.9.0 - email-validator>=2.0.0 - backend/uv.toml pins public PyPI index Tests: 12 pure unit tests (test_auth_config.py, test_auth_errors.py). Scope note: authz.py, test_auth.py, and test_auth_type_system.py are deferred to commit 2 because they depend on middleware and deps wiring that is not yet in place. Commit 1 stays "pure new files only" as the spec mandates. * feat(auth): wire auth end-to-end (middleware + frontend replacement) Backend: - Port auth_middleware, csrf_middleware, langgraph_auth, routers/auth - Port authz decorator (owner_filter_key defaults to 'owner_id') - Merge app.py: register AuthMiddleware + CSRFMiddleware + CORS, add _ensure_admin_user lifespan hook, _migrate_orphaned_threads helper, register auth router - Merge deps.py: add get_local_provider, get_current_user_from_request, get_optional_user_from_request; keep get_current_user as thin str|None adapter for feedback router - langgraph.json: add auth path pointing to langgraph_auth.py:auth - Rename metadata['user_id'] -> metadata['owner_id'] in langgraph_auth (both metadata write and LangGraph filter dict) + test fixtures Frontend: - Delete better-auth library and api catch-all route - Remove better-auth npm dependency and env vars (BETTER_AUTH_SECRET, BETTER_AUTH_GITHUB_*) from env.js - Port frontend/src/core/auth/* (AuthProvider, gateway-config, proxy-policy, server-side getServerSideUser, types) - Port frontend/src/core/api/fetcher.ts - Port (auth)/layout, (auth)/login, (auth)/setup pages - Rewrite workspace/layout.tsx as server component that calls getServerSideUser and wraps in AuthProvider - Port workspace/workspace-content.tsx for the client-side sidebar logic Tests: - Port 5 auth test files (test_auth, test_auth_middleware, test_auth_type_system, test_ensure_admin, test_langgraph_auth) - 176 auth tests PASS After this commit: login/logout/registration flow works, but persistence layer does not yet filter by owner_id. Commit 4 closes that gap. * feat(auth): account settings page + i18n - Port account-settings-page.tsx (change password, change email, logout) - Wire into settings-dialog.tsx as new "account" section with UserIcon, rendered first in the section list - Add i18n keys: - en-US/zh-CN: settings.sections.account ("Account" / "账号") - en-US/zh-CN: button.logout ("Log out" / "退出登录") - types.ts: matching type declarations * feat(auth): enforce owner_id across 2.0-rc persistence layer Add request-scoped contextvar-based owner filtering to threads_meta, runs, run_events, and feedback repositories. Router code is unchanged — isolation is enforced at the storage layer so that any caller that forgets to pass owner_id still gets filtered results, and new routes cannot accidentally leak data. Core infrastructure ------------------- - deerflow/runtime/user_context.py (new): - ContextVar[CurrentUser | None] with default None - runtime_checkable CurrentUser Protocol (structural subtype with .id) - set/reset/get/require helpers - AUTO sentinel + resolve_owner_id(value, method_name) for sentinel three-state resolution: AUTO reads contextvar, explicit str overrides, explicit None bypasses the filter (for migration/CLI) Repository changes ------------------ - ThreadMetaRepository: create/get/search/update_*/delete gain owner_id=AUTO kwarg; read paths filter by owner, writes stamp it, mutations check ownership before applying - RunRepository: put/get/list_by_thread/delete gain owner_id=AUTO kwarg - FeedbackRepository: create/get/list_by_run/list_by_thread/delete gain owner_id=AUTO kwarg - DbRunEventStore: list_messages/list_events/list_messages_by_run/ count_messages/delete_by_thread/delete_by_run gain owner_id=AUTO kwarg. Write paths (put/put_batch) read contextvar softly: when a request-scoped user is available, owner_id is stamped; background worker writes without a user context pass None which is valid (orphan row to be bound by migration) Schema ------ - persistence/models/run_event.py: RunEventRow.owner_id = Mapped[ str | None] = mapped_column(String(64), nullable=True, index=True) - No alembic migration needed: 2.0 ships fresh, Base.metadata.create_all picks up the new column automatically Middleware ---------- - auth_middleware.py: after cookie check, call get_optional_user_from_ request to load the real User, stamp it into request.state.user AND the contextvar via set_current_user, reset in a try/finally. Public paths and unauthenticated requests continue without contextvar, and @require_auth handles the strict 401 path Test infrastructure ------------------- - tests/conftest.py: @pytest.fixture(autouse=True) _auto_user_context sets a default SimpleNamespace(id="test-user-autouse") on every test unless marked @pytest.mark.no_auto_user. Keeps existing 20+ persistence tests passing without modification - pyproject.toml [tool.pytest.ini_options]: register no_auto_user marker so pytest does not emit warnings for opt-out tests - tests/test_user_context.py: 6 tests covering three-state semantics, Protocol duck typing, and require/optional APIs - tests/test_thread_meta_repo.py: one test updated to pass owner_id= None explicitly where it was previously relying on the old default Test results ------------ - test_user_context.py: 6 passed - test_auth*.py + test_langgraph_auth.py + test_ensure_admin.py: 127 - test_run_event_store / test_run_repository / test_thread_meta_repo / test_feedback: 92 passed - Full backend suite: 1905 passed, 2 failed (both @requires_llm flaky integration tests unrelated to auth), 1 skipped * feat(auth): extend orphan migration to 2.0-rc persistence tables _ensure_admin_user now runs a three-step pipeline on every boot: Step 1 (fatal): admin user exists / is created / password is reset Step 2 (non-fatal): LangGraph store orphan threads → admin Step 3 (non-fatal): SQL persistence tables → admin - threads_meta - runs - run_events - feedback Each step is idempotent. The fatal/non-fatal split mirrors PR #1728's original philosophy: admin creation failure blocks startup (the system is unusable without an admin), whereas migration failures log a warning and let the service proceed (a partial migration is recoverable; a missing admin is not). Key helpers ----------- - _iter_store_items(store, namespace, *, page_size=500): async generator that cursor-paginates across LangGraph store pages. Fixes PR #1728's hardcoded limit=1000 bug that would silently lose orphans beyond the first page. - _migrate_orphaned_threads(store, admin_user_id): Rewritten to use _iter_store_items. Returns the migrated count so the caller can log it; raises only on unhandled exceptions. - _migrate_orphan_sql_tables(admin_user_id): Imports the 4 ORM models lazily, grabs the shared session factory, runs one UPDATE per table in a single transaction, commits once. No-op when no persistence backend is configured (in-memory dev). Tests: test_ensure_admin.py (8 passed) * test(auth): port AUTH test plan docs + lint/format pass - Port backend/docs/AUTH_TEST_PLAN.md and AUTH_UPGRADE.md from PR #1728 - Rename metadata.user_id → metadata.owner_id in AUTH_TEST_PLAN.md (4 occurrences from the original PR doc) - ruff auto-fix UP037 in sentinel type annotations: drop quotes around "str | None | _AutoSentinel" now that from __future__ import annotations makes them implicit string forms - ruff format: 2 files (app/gateway/app.py, runtime/user_context.py) Note on test coverage additions: - conftest.py autouse fixture was already added in commit 4 (had to be co-located with the repository changes to keep pre-existing persistence tests passing) - cross-user isolation E2E tests (test_owner_isolation.py) deferred — enforcement is already proven by the 98-test repository suite via the autouse fixture + explicit _AUTO sentinel exercises - New test cases (TC-API-17..20, TC-ATK-13, TC-MIG-01..07) listed in AUTH_TEST_PLAN.md are deferred to a follow-up PR — they are manual-QA test cases rather than pytest code, and the spec-level coverage is already met by test_user_context.py + the 98-test repository suite. Final test results: - Auth suite (test_auth*, test_langgraph_auth, test_ensure_admin, test_user_context): 186 passed - Persistence suite (test_run_event_store, test_run_repository, test_thread_meta_repo, test_feedback): 98 passed - Lint: ruff check + ruff format both clean * test(auth): add cross-user isolation test suite 10 tests exercising the storage-layer owner filter by manually switching the user_context contextvar between two users. Verifies the safety invariant: After a repository write with owner_id=A, a subsequent read with owner_id=B must not return the row, and vice versa. Covers all 4 tables that own user-scoped data: TC-API-17 threads_meta — read, search, update, delete cross-user TC-API-18 runs — get, list_by_thread, delete cross-user TC-API-19 run_events — list_messages, list_events, count_messages, delete_by_thread (CRITICAL: raw conversation content leak vector) TC-API-20 feedback — get, list_by_run, delete cross-user Plus two meta-tests verifying the sentinel pattern itself: - AUTO + unset contextvar raises RuntimeError - explicit owner_id=None bypasses the filter (migration escape hatch) Architecture note ----------------- These tests bypass the HTTP layer by design. The full chain (cookie → middleware → contextvar → repository) is covered piecewise: - test_auth_middleware.py: middleware sets contextvar from cookies - test_owner_isolation.py: repositories enforce isolation when contextvar is set to different users Together they prove the end-to-end safety property without the ceremony of spinning up a full TestClient + in-memory DB for every router endpoint. Tests pass: 231 (full auth + persistence + isolation suite) Lint: clean * refactor(auth): migrate user repository to SQLAlchemy ORM Move the users table into the shared persistence engine so auth matches the pattern of threads_meta, runs, run_events, and feedback — one engine, one session factory, one schema init codepath. New files --------- - persistence/user/__init__.py, persistence/user/model.py: UserRow ORM class with partial unique index on (oauth_provider, oauth_id) - Registered in persistence/models/__init__.py so Base.metadata.create_all() picks it up Modified -------- - auth/repositories/sqlite.py: rewritten as async SQLAlchemy, identical constructor pattern to the other four repositories (def __init__(self, session_factory) + self._sf = session_factory) - auth/config.py: drop users_db_path field — storage is configured through config.database like every other table - deps.py/get_local_provider: construct SQLiteUserRepository with the shared session factory, fail fast if engine is not initialised - tests/test_auth.py: rewrite test_sqlite_round_trip_new_fields to use the shared engine (init_engine + close_engine in a tempdir) - tests/test_auth_type_system.py: add per-test autouse fixture that spins up a scratch engine and resets deps._cached_* singletons * refactor(auth): remove SQL orphan migration (unused in supported scenarios) The _migrate_orphan_sql_tables helper existed to bind NULL owner_id rows in threads_meta, runs, run_events, and feedback to the admin on first boot. But in every supported upgrade path, it's a no-op: 1. Fresh install: create_all builds fresh tables, no legacy rows 2. No-auth → with-auth (no existing persistence DB): persistence tables are created fresh by create_all, no legacy rows 3. No-auth → with-auth (has existing persistence DB from #1930): NOT a supported upgrade path — "有 DB 到有 DB" schema evolution is out of scope; users wipe DB or run manual ALTER So the SQL orphan migration never has anything to do in the supported matrix. Delete the function, simplify _ensure_admin_user from a 3-step pipeline to a 2-step one (admin creation + LangGraph store orphan migration only). LangGraph store orphan migration stays: it serves the real "no-auth → with-auth" upgrade path where a user's existing LangGraph thread metadata has no owner_id field and needs to be stamped with the newly-created admin's id. Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): write initial admin password to 0600 file instead of logs CodeQL py/clear-text-logging-sensitive-data flagged 3 call sites that logged the auto-generated admin password to stdout via logger.info(). Production log aggregators (ELK/Splunk/etc) would have captured those cleartext secrets. Replace with a shared helper that writes to .deer-flow/admin_initial_credentials.txt with mode 0600, and log only the path. New file -------- - app/gateway/auth/credential_file.py: write_initial_credentials() helper. Takes email, password, and a "initial"/"reset" label. Creates .deer-flow/ if missing, writes a header comment plus the email+password, chmods 0o600, returns the absolute Path. Modified -------- - app/gateway/app.py: both _ensure_admin_user paths (fresh creation + needs_setup password reset) now write to file and log the path - app/gateway/auth/reset_admin.py: rewritten to use the shared ORM repo (SQLiteUserRepository with session_factory) and the credential_file helper. The previous implementation was broken after the earlier ORM refactor — it still imported _get_users_conn and constructed SQLiteUserRepository() without a session factory. No tests changed — the three password-log sites are all exercised via existing test_ensure_admin.py which checks that startup succeeds, not that a specific string appears in logs. CodeQL alerts 272, 283, 284: all resolved. * security(auth): strict JWT validation in middleware (fix junk cookie bypass) AUTH_TEST_PLAN test 7.5.8 expects junk cookies to be rejected with 401. The previous middleware behaviour was "presence-only": check that some access_token cookie exists, then pass through. In combination with my Task-12 decision to skip @require_auth decorators on routes, this created a gap where a request with any cookie-shaped string (e.g. access_token=not-a-jwt) would bypass authentication on routes that do not touch the repository (/api/models, /api/mcp/config, /api/memory, /api/skills, …). Fix: middleware now calls get_current_user_from_request() strictly and catches the resulting HTTPException to render a 401 with the proper fine-grained error code (token_invalid, token_expired, user_not_found, …). On success it stamps request.state.user and the contextvar so repository-layer owner filters work downstream. The 4 old "_with_cookie_passes" tests in test_auth_middleware.py were written for the presence-only behaviour; they asserted that a junk cookie would make the handler return 200. They are renamed to "_with_junk_cookie_rejected" and their assertions flipped to 401. The negative path (no cookie → 401 not_authenticated) is unchanged. Verified: no cookie → 401 not_authenticated junk cookie → 401 token_invalid (the fixed bug) expired cookie → 401 token_expired Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): wire @require_permission(owner_check=True) on isolation routes Apply the require_permission decorator to all 28 routes that take a {thread_id} path parameter. Combined with the strict middleware (previous commit), this gives the double-layer protection that AUTH_TEST_PLAN test 7.5.9 documents: Layer 1 (AuthMiddleware): cookie + JWT validation, rejects junk cookies and stamps request.state.user Layer 2 (@require_permission with owner_check=True): per-resource ownership verification via ThreadMetaStore.check_access — returns 404 if a different user owns the thread The decorator's owner_check branch is rewritten to use the SQL thread_meta_repo (the 2.0-rc persistence layer) instead of the LangGraph store path that PR #1728 used (_store_get / get_store in routers/threads.py). The inject_record convenience is dropped — no caller in 2.0 needs the LangGraph blob, and the SQL repo has a different shape. Routes decorated (28 total): - threads.py: delete, patch, get, get-state, post-state, post-history - thread_runs.py: post-runs, post-runs-stream, post-runs-wait, list_runs, get_run, cancel_run, join_run, stream_existing_run, list_thread_messages, list_run_messages, list_run_events, thread_token_usage - feedback.py: create, list, stats, delete - uploads.py: upload (added Request param), list, delete - artifacts.py: get_artifact - suggestions.py: generate (renamed body parameter to avoid conflict with FastAPI Request) Test fixes: - test_suggestions_router.py: bypass the decorator via __wrapped__ (the unit tests cover parsing logic, not auth — no point spinning up a thread_meta_repo just to test JSON unwrapping) - test_auth_middleware.py 4 fake-cookie tests: already updated in the previous commit (745bf432) Tests: 293 passed (auth + persistence + isolation + suggestions) Lint: clean * security(auth): defense-in-depth fixes from release validation pass Eight findings caught while running the AUTH_TEST_PLAN end-to-end against the deployed sg_dev stack. Each is a pre-condition for shipping release/2.0-rc that the previous PRs missed. Backend hardening - routers/auth.py: rate limiter X-Real-IP now requires AUTH_TRUSTED_PROXIES whitelist (CIDR/IP allowlist). Without nginx in front, the previous code honored arbitrary X-Real-IP, letting an attacker rotate the header to fully bypass the per-IP login lockout. - routers/auth.py: 36-entry common-password blocklist via Pydantic field_validator on RegisterRequest + ChangePasswordRequest. The shared _validate_strong_password helper keeps the constraint in one place. - routers/threads.py: ThreadCreateRequest + ThreadPatchRequest strip server-reserved metadata keys (owner_id, user_id) via Pydantic field_validator so a forged value can never round-trip back to other clients reading the same thread. The actual ownership invariant stays on the threads_meta row; this closes the metadata-blob echo gap. - authz.py + thread_meta/sql.py: require_permission gains a require_existing flag plumbed through check_access(require_existing=True). Destructive routes (DELETE/PATCH/state-update/runs/feedback) now treat a missing thread_meta row as 404 instead of "untracked legacy thread, allow", closing the cross-user delete-idempotence gap where any user could successfully DELETE another user's deleted thread. - repositories/sqlite.py + base.py: update_user raises UserNotFoundError on a vanished row instead of silently returning the input. Concurrent delete during password reset can no longer look like a successful update. - runtime/user_context.py: resolve_owner_id() coerces User.id (UUID) to str at the contextvar boundary so SQLAlchemy String(64) columns can bind it. The whole 2.0-rc isolation pipeline was previously broken end-to-end (POST /api/threads → 500 "type 'UUID' is not supported"). - persistence/engine.py: SQLAlchemy listener enables PRAGMA journal_mode=WAL, synchronous=NORMAL, foreign_keys=ON on every new SQLite connection. TC-UPG-06 in the test plan expects WAL; previous code shipped with the default 'delete' journal. - auth_middleware.py: stamp request.state.auth = AuthContext(...) so @require_permission's short-circuit fires; previously every isolation request did a duplicate JWT decode + users SELECT. Also unifies the 401 payload through AuthErrorResponse(...).model_dump(). - app.py: _ensure_admin_user restructure removes the noqa F821 scoping bug where 'password' was referenced outside the branch that defined it. New _announce_credentials helper absorbs the duplicate log block in the fresh-admin and reset-admin branches. * fix(frontend+nginx): rollout CSRF on every state-changing client path The frontend was 100% broken in gateway-pro mode for any user trying to open a specific chat thread. Three cumulative bugs each silently masked the next. LangGraph SDK CSRF gap (api-client.ts) - The Client constructor took only apiUrl, no defaultHeaders, no fetch interceptor. The SDK's internal fetch never sent X-CSRF-Token, so every state-changing /api/langgraph-compat/* call (runs/stream, threads/search, threads/{tid}/history, ...) hit CSRFMiddleware and got 403 before reaching the auth check. UI symptom: empty thread page with no error message; the SPA's hooks swallowed the rejection. - Fix: pass an onRequest hook that injects X-CSRF-Token from the csrf_token cookie per request. Reading the cookie per call (not at construction time) handles login / logout / password-change cookie rotation transparently. The SDK's prepareFetchOptions calls onRequest for both regular requests AND streaming/SSE/reconnect, so the same hook covers runs.stream and runs.joinStream. Raw fetch CSRF gap (7 files) - Audit: 11 frontend fetch sites, only 2 included CSRF (login/setup + account-settings change-password). The other 7 routed through raw fetch() with no header — suggestions, memory, agents, mcp, skills, uploads, and the local thread cleanup hook all 403'd silently. - Fix: enhance fetcher.ts:fetchWithAuth to auto-inject X-CSRF-Token on POST/PUT/DELETE/PATCH from a single shared readCsrfCookie() helper. Convert all 7 raw fetch() callers to fetchWithAuth so the contract is centrally enforced. api-client.ts and fetcher.ts share readCsrfCookie + STATE_CHANGING_METHODS to avoid drift. nginx routing + buffering (nginx.local.conf) - The auth feature shipped without updating the nginx config: per-API explicit location blocks but no /api/v1/auth/, /api/feedback, /api/runs. The frontend's client-side fetches to /api/v1/auth/login/local 404'd from the Next.js side because nginx routed /api/* to the frontend. - Fix: add catch-all `location /api/` that proxies to the gateway. nginx longest-prefix matching keeps the explicit blocks (/api/models, /api/threads regex, /api/langgraph/, ...) winning for their paths. - Fix: disable proxy_buffering + proxy_request_buffering for the frontend `location /` block. Without it, nginx tries to spool large Next.js chunks into /var/lib/nginx/proxy (root-owned) and fails with Permission denied → ERR_INCOMPLETE_CHUNKED_ENCODING → ChunkLoadError. * test(auth): release-validation test infra and new coverage Test fixtures and unit tests added during the validation pass. Router test helpers (NEW: tests/_router_auth_helpers.py) - make_authed_test_app(): builds a FastAPI test app with a stub middleware that stamps request.state.user + request.state.auth and a permissive thread_meta_repo mock. TestClient-based router tests (test_artifacts_router, test_threads_router) use it instead of bare FastAPI() so the new @require_permission(owner_check=True) decorators short-circuit cleanly. - call_unwrapped(): walks the __wrapped__ chain to invoke the underlying handler without going through the authz wrappers. Direct-call tests (test_uploads_router) use it. Typed with ParamSpec so the wrapped signature flows through. Backend test additions - test_auth.py: 7 tests for the new _get_client_ip trust model (no proxy / trusted proxy / untrusted peer / XFF rejection / invalid CIDR / no client). 5 tests for the password blocklist (literal, case-insensitive, strong password accepted, change-password binding, short-password length-check still fires before blocklist). test_update_user_raises_when_row_concurrently_deleted: closes a shipped-without-coverage gap on the new UserNotFoundError contract. - test_thread_meta_repo.py: 4 tests for check_access(require_existing=True) — strict missing-row denial, strict owner match, strict owner mismatch, strict null-owner still allowed (shared rows survive the tightening). - test_ensure_admin.py: 3 tests for _migrate_orphaned_threads / _iter_store_items pagination, covering the TC-UPG-02 upgrade story end-to-end via mock store. Closes the gap where the cursor pagination was untested even though the previous PR rewrote it. - test_threads_router.py: 5 tests for _strip_reserved_metadata (owner_id removal, user_id removal, safe-keys passthrough, empty input, both-stripped). - test_auth_type_system.py: replace "password123" fixtures with Tr0ub4dor3a / AnotherStr0ngPwd! so the new password blocklist doesn't reject the test data. * docs(auth): refresh TC-DOCKER-05 + document Docker validation gap - AUTH_TEST_PLAN.md TC-DOCKER-05: the previous expectation ("admin password visible in docker logs") was stale after the simplify pass that moved credentials to a 0600 file. The grep "Password:" check would have silently failed and given a false sense of coverage. New expectation matches the actual file-based path: 0600 file in DEER_FLOW_HOME, log shows the path (not the secret), reverse-grep asserts no leaked password in container logs. - NEW: docs/AUTH_TEST_DOCKER_GAP.md documents the only un-executed block in the test plan (TC-DOCKER-01..06). Reason: sg_dev validation host has no Docker daemon installed. The doc maps each Docker case to an already-validated bare-metal equivalent (TC-1.1, TC-REENT-01, TC-API-02 etc.) so the gap is auditable, and includes pre-flight reproduction steps for whoever has Docker available. --------- Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> * refactor(persistence): unify SQLite to single deerflow.db and move checkpointer to runtime Merge checkpoints.db and app.db into a single deerflow.db file (WAL mode handles concurrent access safely). Move checkpointer module from agents/checkpointer to runtime/checkpointer to better reflect its role as a runtime infrastructure concern. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): rename owner_id to user_id and thread_meta_repo to thread_store Rename owner_id to user_id across all persistence models, repositories, stores, routers, and tests for clearer semantics. Rename thread_meta_repo to thread_store for consistency with run_store/run_event_store naming. Add ThreadMetaStore return type annotation to get_thread_store(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): unify ThreadMetaStore interface with user isolation and factory Add user_id parameter to all ThreadMetaStore abstract methods. Implement owner isolation in MemoryThreadMetaStore with _get_owned_record helper. Add check_access to base class and memory implementation. Add make_thread_store factory to simplify deps.py initialization. Add memory-backend isolation tests. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(feedback): add UNIQUE(thread_id, run_id, user_id) constraint Add UNIQUE constraint to FeedbackRow to enforce one feedback per user per run, enabling upsert behavior in Task 2. Update tests to use distinct user_ids for multiple feedback records per run, and pass user_id=None to list_by_run for admin-style queries that bypass user isolation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(feedback): add upsert() method with UNIQUE enforcement Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add delete_by_run() and list_by_thread_grouped() Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add PUT upsert and DELETE-by-run endpoints Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): enrich messages endpoint with per-run feedback data Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add frontend feedback API client Adds upsertFeedback and deleteFeedback API functions backed by fetchWithAuth, targeting the /api/threads/{id}/runs/{id}/feedback endpoint. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): wire feedback data into message rendering for history echo Adds useThreadFeedback hook that fetches run-level feedback from the messages API and builds a runId->FeedbackData map. MessageList now calls this hook and passes feedback and runId to each MessageListItem so previously-submitted thumbs are pre-filled when revisiting a thread. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(feedback): correct run_id mapping for feedback echo The feedbackMap was keyed by run_id but looked up by LangGraph message ID. Fixed by tracking AI message ordinal index to correlate event store run_ids with LangGraph SDK messages. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(feedback): use real threadId and refresh after stream - Pass threadId prop to MessageListItem instead of reading "new" from URL params - Invalidate thread-feedback query on stream finish so buttons appear immediately - Show feedback buttons always visible, copy button on hover only Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style(feedback): group copy and feedback buttons together on the left Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style(feedback): always show toolbar buttons without hover Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): stream hang when run_events.backend=db DbRunEventStore._user_id_from_context() returned user.id without coercing it to str. User.id is a Pydantic UUID, and aiosqlite cannot bind a raw UUID object to a VARCHAR column, so the INSERT for the initial human_message event silently rolled back and raised out of the worker task. Because that put() sat outside the worker's try block, the finally-clause that publishes end-of-stream never ran and the SSE stream hung forever. jsonl mode was unaffected because json.dumps(default=str) coerces UUID objects transparently. Fixes: - db.py: coerce user.id to str at the context-read boundary (matches what resolve_user_id already does for the other repositories) - worker.py: move RunJournal init + human_message put inside the try block so any failure flows through the finally/publish_end path instead of hanging the subscriber Defense-in-depth: - engine.py: add PRAGMA busy_timeout=5000 so checkpointer and event store wait for each other on the shared deerflow.db file instead of failing immediately under write-lock contention - journal.py: skip fire-and-forget _flush_sync when a previous flush task is still in flight, to avoid piling up concurrent put_batch writes on the same SQLAlchemy engine during streaming; flush() now waits for pending tasks before draining the buffer - database_config.py: doc-only update clarifying WAL + busy_timeout keep the unified deerflow.db safe for both workloads Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore(persistence): drop redundant busy_timeout PRAGMA Python's sqlite3 driver defaults to a 5-second busy timeout via the ``timeout`` kwarg of ``sqlite3.connect``, and aiosqlite + SQLAlchemy's aiosqlite dialect inherit that default. Setting ``PRAGMA busy_timeout=5000`` explicitly was a no-op — verified by reading back the PRAGMA on a fresh connection (it already reports 5000ms without our PRAGMA). Concurrent stress test (50 checkpoint writes + 20 event batches + 50 thread_meta updates on the same deerflow.db) still completes with zero errors and 200/200 rows after removing the explicit PRAGMA. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(journal): unwrap Command tool results in on_tool_end Tools that update graph state (e.g. ``present_files``) return ``Command(update={'messages': [ToolMessage(...)], 'artifacts': [...]})``. LangGraph later unwraps the inner ``ToolMessage`` into checkpoint state, but ``RunJournal.on_tool_end`` was receiving the ``Command`` object directly via the LangChain callback chain and storing ``str(Command(update={...}))`` as the tool_result content. This produced a visible divergence between the event-store and the checkpoint for any thread that used a Command-returning tool, blocking the event-store-backed history fix in the follow-up commit. Concrete example from thread ``6d30913e-dcd4-41c8-8941-f66c716cf359`` (seq=48): checkpoint had ``'Successfully presented files'`` while event_store stored the full Command repr. The fix detects ``Command`` in ``on_tool_end``, extracts the first ``ToolMessage`` from ``update['messages']``, and lets the existing ToolMessage branch handle the ``model_dump()`` path. Legacy rows still containing the Command repr are separately cleaned up by the history helper in the follow-up commit. Tests: - ``test_tool_end_unwraps_command_with_inner_tool_message`` — unit test of the unwrap branch with a constructed Command - ``test_tool_invoke_end_to_end_unwraps_command`` — end-to-end via ``CallbackManager`` + ``tool.invoke`` to exercise the real LangChain dispatch path that production uses, matching the repro shape from ``present_files`` - Counter-proof: temporarily reverted the patch, both tests failed with the exact ``Command(update={...})`` repr that was stored in the production SQLite row at seq=48, confirming LangChain does pass the ``Command`` through callbacks (the unwrap is load-bearing) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): load history messages from event store, immune to summarize ``get_thread_history`` and ``get_thread_state`` in Gateway mode read messages from ``checkpoint.channel_values["messages"]``. After SummarizationMiddleware runs mid-run, that list is rewritten in-place: pre-summarize messages are dropped and a synthetic summary-as-human message takes position 0. The frontend then renders a chat history that starts with ``"Here is a summary of the conversation to date:..."`` instead of the user's original query, and all earlier turns are gone. The event store (``RunEventStore``) is append-only and never rewritten, so it retains the full transcript. This commit adds a helper ``_get_event_store_messages`` that loads the event store's message stream and overrides ``values["messages"]`` in both endpoints; the checkpoint fallback kicks in only when the event store is unavailable. Behavior contract of the helper: - **Full pagination.** ``list_messages`` returns the newest ``limit`` records when no cursor is given, so a fixed limit silently drops older messages on long threads. The helper sizes the read from ``count_messages()`` and pages forward with ``after_seq`` cursors. - **Copy-on-read.** Each content dict is copied before ``id`` is patched so the live store object (``MemoryRunEventStore`` returns references) is never mutated. - **Stable ids.** Messages with ``id=None`` (human + tool_result, which don't receive an id until checkpoint persistence) get a deterministic ``uuid5(NAMESPACE_URL, f"{thread_id}:{seq}")`` so React keys stay stable across requests. AI messages keep their LLM-assigned ``lc_run--*`` ids. - **Legacy ``Command`` repr sanitization.** Rows captured before the ``journal.py`` ``on_tool_end`` fix (previous commit) stored ``str(Command(update={'messages': [ToolMessage(content='X', ...)]}))`` as the tool_result content. ``_sanitize_legacy_command_repr`` regex-extracts the inner text so old threads render cleanly. - **Inline feedback.** When loading the stream, the helper also pulls ``feedback_repo.list_by_thread_grouped`` and attaches ``run_id`` to every message plus ``feedback`` to the final ``ai_message`` of each run. This removes the frontend's need to fetch a second endpoint and positional-index-map its way back to the right run. When the feedback subsystem is unavailable, the ``feedback`` field is left absent entirely so the frontend hides the button rather than rendering it over a broken write path. - **User context.** ``DbRunEventStore`` is user-scoped by default via ``resolve_user_id(AUTO)``. The helper relies on the ``@require_permission`` decorator having populated the user contextvar on both callers; the docstring documents this dependency explicitly so nobody wires it into a CLI or migration script without passing ``user_id=None``. Real data verification against thread ``6d30913e-dcd4-41c8-8941-f66c716cf359``: checkpoint showed 12 messages (summarize-corrupted), event store had 16. The original human message ``"最新伊美局势"`` was preserved as seq=1 in the event store and correctly restored to position 0 in the helper output. Helper output for AI messages was byte-identical to checkpoint for every overlapping message; only tool_result ids differed (patched to uuid5) and the legacy Command repr at seq=48 was sanitized. Tests: - ``test_thread_state_event_store.py`` — 18 tests covering ``_sanitize_legacy_command_repr`` (passthrough, single/double-quote extraction, unparseable fallback), helper happy path (all message types, stable uuid5, store non-mutation), multi-page pagination, summarize regression (recovers pre-summarize messages), feedback attachment (per-run, multi-run threads, repo failure graceful), and dependency failure fallback to ``None``. Docs: - ``docs/superpowers/plans/2026-04-10-event-store-history.md`` — the implementation plan this commit realizes, with Task 1 revised after the evaluation findings (pagination, copy-on-read, Command wrap already landed in journal.py, frontend feedback pagination in the follow-up commit, Standard-mode follow-up noted). - ``docs/superpowers/specs/2026-04-11-runjournal-history-evaluation.md`` — the Claude + second-opinion evaluation document that drove the plan revisions (pagination bug, dict-mutation bug, feedback hidden bug, Command bug). - ``docs/superpowers/specs/2026-04-11-summarize-marker-design.md`` — design for a follow-up PR that visually marks summarize events in history, based on a verified ``adispatch_custom_event`` experiment (``trace=False`` middleware nodes can still forward the Pregel task config via explicit signature injection). Scope: Gateway mode only (``make dev-pro``). Standard mode (``make dev``) hits LangGraph Server directly and bypasses these endpoints; the summarize symptom is still present there and is tracked as a separate follow-up in the plan. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(feedback): inline feedback on history and drop positional mapping The old ``useThreadFeedback`` hook loaded ``GET /api/threads/{id}/messages?limit=200`` and built two parallel lookup tables: ``runIdByAiIndex`` (an ordinal array of run_ids for every ``ai_message``-typed event) and ``feedbackByRunId``. The render loop in ``message-list.tsx`` walked the AI messages in order, incrementing ``aiMessageIndex`` on each non-human message, and used that ordinal to look up the run_id and feedback. This shape had three latent bugs we could observe on real threads: 1. **Fetch was capped at 200 messages.** Long or tool-heavy threads silently dropped earlier entries from the map, so feedback buttons could be missing on messages they should own. 2. **Ordinal mismatch.** The render loop counted every non-human message (including each intermediate ``ai_tool_call``), but ``runIdByAiIndex`` only pushed entries for ``event_type == "ai_message"``. A run with 3 tool_calls + 1 final AI message would push 1 entry while the render consumed 4 positions, so buttons mapped to the wrong positions across multi-run threads. 3. **Two parallel data paths.** The ``/history`` render path and the ``/messages`` feedback-lookup path could drift in-between an ``invalidateQueries`` call and the next refetch, producing transient mismaps. The previous commit moved the authoritative message source for history to the event store and added ``run_id`` + ``feedback`` inline on each message dict returned by ``_get_event_store_messages``. This commit aligns the frontend with that contract: - **Delete** ``useThreadFeedback``, ``ThreadFeedbackData``, ``runIdByAiIndex``, ``feedbackByRunId``, and ``fetchAllThreadMessages``. - **Introduce** ``useThreadMessageEnrichment`` that fetches ``POST /history?limit=1`` once, indexes the returned messages by ``message.id`` into a ``Map<id, {run_id, feedback?}>``, and invalidates on stream completion (``onFinish`` in ``useThreadStream``). Keying by ``message.id`` is stable across runs, tool_call chains, and summarize. - **Simplify** ``message-list.tsx`` to drop the ``aiMessageIndex`` counter and read ``enrichment?.get(msg.id)`` at each render step. - **Rewire** ``message-list-item.tsx`` so the feedback button renders when ``feedback !== undefined`` rather than when the message happens to be non-human. ``feedback`` is ``undefined`` for non-eligible messages (humans, non-final AI, tools), ``null`` for the final ai_message of an unrated run, and a ``FeedbackData`` object once rated — cleanly distinguishing "not eligible" from "eligible but unrated". ``/api/threads/{id}/messages`` is kept as a debug/export surface; no frontend code calls it anymore but the backend router is untouched. Validation: - ``pnpm check`` clean (0 errors, 1 pre-existing unrelated warning) - Live test on thread ``3d5dea4a`` after gateway restart confirmed the original user query is restored to position 0 and the feedback button behaves correctly on the final AI message. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(rebase): remove duplicate definitions and update stale module paths Rebase left duplicate function blocks in worker.py (triple human_message write causing 3x user messages in /history), deps.py, and prompt.py. Also update checkpointer imports from the old deerflow.agents.checkpointer path to deerflow.runtime.checkpointer, and clean up orphaned feedback props in the frontend message components. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(rebase): restore FeedbackButtons component and enrichment lost during rebase The FeedbackButtons component (defined inline in message-list-item.tsx) was introduced in commit 95df8d13 but lost during rebase. The previous rebase cleanup commit incorrectly removed the feedback/runId props and enrichment hook as "orphaned code" instead of restoring the missing component. This commit restores: - FeedbackButtons component with thumbs up/down toggle and optimistic state - FeedbackData/upsertFeedback/deleteFeedback imports - feedback and runId props on MessageListItem - useThreadMessageEnrichment hook and entry lookup in message-list.tsx Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com> Co-authored-by: greatmengqi <chenmengqi.0376@gmail.com> Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>	2026-04-26 11:09:55 +08:00
rayhpeng	d8ecaf46c9	feat(persistence): add unified persistence layer with event store, token tracking, and feedback (#1930) ... * feat(persistence): add SQLAlchemy 2.0 async ORM scaffold Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add RunEventStore ABC + MemoryRunEventStore Phase 2-A prerequisite for event storage: adds the unified run event stream interface (RunEventStore) with an in-memory implementation, RunEventsConfig, gateway integration, and comprehensive tests (27 cases). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add ORM models, repositories, DB/JSONL event stores, RunJournal, and API endpoints Phase 2-B: run persistence + event storage + token tracking. - ORM models: RunRow (with token fields), ThreadMetaRow, RunEventRow - RunRepository implements RunStore ABC via SQLAlchemy ORM - ThreadMetaRepository with owner access control - DbRunEventStore with trace content truncation and cursor pagination - JsonlRunEventStore with per-run files and seq recovery from disk - RunJournal (BaseCallbackHandler) captures LLM/tool/lifecycle events, accumulates token usage by caller type, buffers and flushes to store - RunManager now accepts optional RunStore for persistent backing - Worker creates RunJournal, writes human_message, injects callbacks - Gateway deps use factory functions (RunRepository when DB available) - New endpoints: messages, run messages, run events, token-usage - ThreadCreateRequest gains assistant_id field - 92 tests pass (33 new), zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add user feedback + follow-up run association Phase 2-C: feedback and follow-up tracking. - FeedbackRow ORM model (rating +1/-1, optional message_id, comment) - FeedbackRepository with CRUD, list_by_run/thread, aggregate stats - Feedback API endpoints: create, list, stats, delete - follow_up_to_run_id in RunCreateRequest (explicit or auto-detected from latest successful run on the thread) - Worker writes follow_up_to_run_id into human_message event metadata - Gateway deps: feedback_repo factory + getter - 17 new tests (14 FeedbackRepository + 3 follow-up association) - 109 total tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test+config: comprehensive Phase 2 test coverage + deprecate checkpointer config - config.example.yaml: deprecate standalone checkpointer section, activate unified database:sqlite as default (drives both checkpointer + app data) - New: test_thread_meta_repo.py (14 tests) — full ThreadMetaRepository coverage including check_access owner logic, list_by_owner pagination - Extended test_run_repository.py (+4 tests) — completion preserves fields, list ordering desc, limit, owner_none returns all - Extended test_run_journal.py (+8 tests) — on_chain_error, track_tokens=false, middleware no ai_message, unknown caller tokens, convenience fields, tool_error, non-summarization custom event - Extended test_run_event_store.py (+7 tests) — DB batch seq continuity, make_run_event_store factory (memory/db/jsonl/fallback/unknown) - Extended test_phase2b_integration.py (+4 tests) — create_or_reject persists, follow-up metadata, summarization in history, full DB-backed lifecycle - Fixed DB integration test to use proper fake objects (not MagicMock) for JSON-serializable metadata - 157 total Phase 2 tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * config: move default sqlite_dir to .deer-flow/data Keep SQLite databases alongside other DeerFlow-managed data (threads, memory) under the .deer-flow/ directory instead of a top-level ./data folder. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): remove UTFJSON, use engine-level json_serializer + datetime.now() - Replace custom UTFJSON type with standard sqlalchemy.JSON in all ORM models. Add json_serializer=json.dumps(ensure_ascii=False) to all create_async_engine calls so non-ASCII text (Chinese etc.) is stored as-is in both SQLite and Postgres. - Change ORM datetime defaults from datetime.now(UTC) to datetime.now(), remove UTC imports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): simplify deps.py with getter factory + inline repos - Replace 6 identical getter functions with _require() factory. - Inline 3 _make_*_repo() factories into langgraph_runtime(), call get_session_factory() once instead of 3 times. - Add thread_meta upsert in start_run (services.py). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(docker): add UV_EXTRAS build arg for optional dependencies Support installing optional dependency groups (e.g. postgres) at Docker build time via UV_EXTRAS build arg: UV_EXTRAS=postgres docker compose build Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(journal): fix flush, token tracking, and consolidate tests RunJournal fixes: - _flush_sync: retain events in buffer when no event loop instead of dropping them; worker's finally block flushes via async flush(). - on_llm_end: add tool_calls filter and caller=="lead_agent" guard for ai_message events; mark message IDs for dedup with record_llm_usage. - worker.py: persist completion data (tokens, message count) to RunStore in finally block. Model factory: - Auto-inject stream_usage=True for BaseChatOpenAI subclasses with custom api_base, so usage_metadata is populated in streaming responses. Test consolidation: - Delete test_phase2b_integration.py (redundant with existing tests). - Move DB-backed lifecycle test into test_run_journal.py. - Add tests for stream_usage injection in test_model_factory.py. - Clean up executor/task_tool dead journal references. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): widen content type to str|dict in all store backends Allow event content to be a dict (for structured OpenAI-format messages) in addition to plain strings. Dict values are JSON-serialized for the DB backend and deserialized on read; memory and JSONL backends handle dicts natively. Trace truncation now serializes dicts to JSON before measuring. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(events): use metadata flag instead of heuristic for dict content detection Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(converters): add LangChain-to-OpenAI message format converters Pure functions langchain_to_openai_message, langchain_to_openai_completion, langchain_messages_to_openai, and _infer_finish_reason for converting LangChain BaseMessage objects to OpenAI Chat Completions format, used by RunJournal for event storage. 15 unit tests added. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(converters): handle empty list content as null, clean up test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): human_message content uses OpenAI user message format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): ai_message uses OpenAI format, add ai_tool_call message event - ai_message content now uses {"role": "assistant", "content": "..."} format - New ai_tool_call message event emitted when lead_agent LLM responds with tool_calls - ai_tool_call uses langchain_to_openai_message converter for consistent format - Both events include finish_reason in metadata ("stop" or "tool_calls") Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add tool_result message event with OpenAI tool message format Cache tool_call_id from on_tool_start keyed by run_id as fallback for on_tool_end, then emit a tool_result message event (role=tool, tool_call_id, content) after each successful tool completion. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): summary content uses OpenAI system message format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format Add on_chat_model_start to capture structured prompt messages as llm_request events. Replace llm_end trace events with llm_response using OpenAI Chat Completions format. Track llm_call_index to pair request/response events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add record_middleware method for middleware trace events Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(events): add full run sequence integration test for OpenAI content format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): align message events with checkpoint format and add middleware tag injection - Message events (ai_message, ai_tool_call, tool_result, human_message) now use BaseMessage.model_dump() format, matching LangGraph checkpoint values.messages - on_tool_end extracts tool_call_id/name/status from ToolMessage objects - on_tool_error now emits tool_result message events with error status - record_middleware uses middleware:{tag} event_type and middleware category - Summarization custom events use middleware:summarize category - TitleMiddleware injects middleware:title tag via get_config() inheritance - SummarizationMiddleware model bound with middleware:summarize tag - Worker writes human_message using HumanMessage.model_dump() Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): switch search endpoint to threads_meta table and sync title - POST /api/threads/search now queries threads_meta table directly, removing the two-phase Store + Checkpointer scan approach - Add ThreadMetaRepository.search() with metadata/status filters - Add ThreadMetaRepository.update_display_name() for title sync - Worker syncs checkpoint title to threads_meta.display_name on run completion - Map display_name to values.title in search response for API compatibility Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): history endpoint reads messages from event store - POST /api/threads/{thread_id}/history now combines two data sources: checkpointer for checkpoint_id, metadata, title, thread_data; event store for messages (complete history, not truncated by summarization) - Strip internal LangGraph metadata keys from response - Remove full channel_values serialization in favor of selective fields Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove duplicate optional-dependencies header in pyproject.toml Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(middleware): pass tagged config to TitleMiddleware ainvoke call Without the config, the middleware:title tag was not injected, causing the LLM response to be recorded as a lead_agent ai_message in run_events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve merge conflict in .env.example Keep both DATABASE_URL (from persistence-scaffold) and WECOM credentials (from main) after the merge. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address review feedback on PR #1851 - Fix naive datetime.now() → datetime.now(UTC) in all ORM models - Fix seq race condition in DbRunEventStore.put() with FOR UPDATE and UNIQUE(thread_id, seq) constraint - Encapsulate _store access in RunManager.update_run_completion() - Deduplicate _store.put() logic in RunManager via _persist_to_store() - Add update_run_completion to RunStore ABC + MemoryRunStore - Wire follow_up_to_run_id through the full create path - Add error recovery to RunJournal._flush_sync() lost-event scenario - Add migration note for search_threads breaking change - Fix test_checkpointer_none_fix mock to set database=None Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update uv.lock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address 22 review comments from CodeQL, Copilot, and Code Quality Bug fixes: - Sanitize log params to prevent log injection (CodeQL) - Reset threads_meta.status to idle/error when run completes - Attach messages only to latest checkpoint in /history response - Write threads_meta on POST /threads so new threads appear in search Lint fixes: - Remove unused imports (journal.py, migrations/env.py, test_converters.py) - Convert lambda to named function (engine.py, Ruff E731) - Remove unused logger definitions in repos (Ruff F841) - Add logging to JSONL decode errors and empty except blocks - Separate assert side-effects in tests (CodeQL) - Remove unused local variables in tests (Ruff F841) - Fix max_trace_content truncation to use byte length, not char length Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply ruff format to persistence and runtime files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Potential fix for pull request finding 'Statement has no effect' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> * refactor(runtime): introduce RunContext to reduce run_agent parameter bloat Extract checkpointer, store, event_store, run_events_config, thread_meta_repo, and follow_up_to_run_id into a frozen RunContext dataclass. Add get_run_context() in deps.py to build the base context from app.state singletons. start_run() uses dataclasses.replace() to enrich per-run fields before passing ctx to run_agent. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): move sanitize_log_param to app/gateway/utils.py Extract the log-injection sanitizer from routers/threads.py into a shared utils module and rename to sanitize_log_param (public API). Eliminates the reverse service → router import in services.py. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * perf: use SQL aggregation for feedback stats and thread token usage Replace Python-side counting in FeedbackRepository.aggregate_by_run with a single SELECT COUNT/SUM query. Add RunStore.aggregate_tokens_by_thread abstract method with SQL GROUP BY implementation in RunRepository and Python fallback in MemoryRunStore. Simplify the thread_token_usage endpoint to delegate to the new method, eliminating the limit=10000 truncation risk. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: annotate DbRunEventStore.put() as low-frequency path Add docstring clarifying that put() opens a per-call transaction with FOR UPDATE and should only be used for infrequent writes (currently just the initial human_message event). High-throughput callers should use put_batch() instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): fall back to Store search when ThreadMetaRepository is unavailable When database.backend=memory (default) or no SQL session factory is configured, search_threads now queries the LangGraph Store instead of returning 503. Returns empty list if neither Store nor repo is available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): introduce ThreadMetaStore ABC for backend-agnostic thread metadata Add ThreadMetaStore abstract base class with create/get/search/update/delete interface. ThreadMetaRepository (SQL) now inherits from it. New MemoryThreadMetaStore wraps LangGraph BaseStore for memory-mode deployments. deps.py now always provides a non-None thread_meta_repo, eliminating all `if thread_meta_repo is not None` guards in services.py, worker.py, and routers/threads.py. search_threads no longer needs a Store fallback branch. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(history): read messages from checkpointer instead of RunEventStore The /history endpoint now reads messages directly from the checkpointer's channel_values (the authoritative source) instead of querying RunEventStore.list_messages(). The RunEventStore API is preserved for other consumers. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address new Copilot review comments - feedback.py: validate thread_id/run_id before deleting feedback - jsonl.py: add path traversal protection with ID validation - run_repo.py: parse `before` to datetime for PostgreSQL compat - thread_meta_repo.py: fix pagination when metadata filter is active - database_config.py: use resolve_path for sqlite_dir consistency Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Implement skill self-evolution and skill_manage flow (#1874) * chore: ignore .worktrees directory * Add skill_manage self-evolution flow * Fix CI regressions for skill_manage * Address PR review feedback for skill evolution * fix(skill-evolution): preserve history on delete * fix(skill-evolution): tighten scanner fallbacks * docs: add skill_manage e2e evidence screenshot * fix(skill-manage): avoid blocking fs ops in session runtime --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> * fix(config): resolve sqlite_dir relative to CWD, not Paths.base_dir resolve_path() resolves relative to Paths.base_dir (.deer-flow), which double-nested the path to .deer-flow/.deer-flow/data/app.db. Use Path.resolve() (CWD-relative) instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Feature/feishu receive file (#1608) * feat(feishu): add channel file materialization hook for inbound messages - Introduce Channel.receive_file(msg, thread_id) as a base method for file materialization; default is no-op. - Implement FeishuChannel.receive_file to download files/images from Feishu messages, save to sandbox, and inject virtual paths into msg.text. - Update ChannelManager to call receive_file for any channel if msg.files is present, enabling downstream model access to user-uploaded files. - No impact on Slack/Telegram or other channels (they inherit the default no-op). * style(backend): format code with ruff for lint compliance - Auto-formatted packages/harness/deerflow/agents/factory.py and tests/test_create_deerflow_agent.py using `ruff format` - Ensured both files conform to project linting standards - Fixes CI lint check failures caused by code style issues * fix(feishu): handle file write operation asynchronously to prevent blocking * fix(feishu): rename GetMessageResourceRequest to _GetMessageResourceRequest and remove redundant code * test(feishu): add tests for receive_file method and placeholder replacement * fix(manager): remove unnecessary type casting for channel retrieval * fix(feishu): update logging messages to reflect resource handling instead of image * fix(feishu): sanitize filename by replacing invalid characters in file uploads * fix(feishu): improve filename sanitization and reorder image key handling in message processing * fix(feishu): add thread lock to prevent filename conflicts during file downloads * fix(test): correct bad merge in test_feishu_parser.py * chore: run ruff and apply formatting cleanup fix(feishu): preserve rich-text attachment order and improve fallback filename handling * fix(docker): restore gateway env vars and fix langgraph empty arg issue (#1915) Two production docker-compose.yaml bugs prevent `make up` from working: 1. Gateway missing DEER_FLOW_CONFIG_PATH and DEER_FLOW_EXTENSIONS_CONFIG_PATH environment overrides. Added in fb2d99f (#1836) but accidentally reverted by ca2fb95 (#1847). Without them, gateway reads host paths from .env via env_file, causing FileNotFoundError inside the container. 2. Langgraph command fails when LANGGRAPH_ALLOW_BLOCKING is unset (default). Empty $${allow_blocking} inserts a bare space between flags, causing ' --no-reload' to be parsed as unexpected extra argument. Fix by building args string first and conditionally appending --allow-blocking. Co-authored-by: cooper <cooperfu@tencent.com> * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities (#1904) * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities Fix `<button>` inside `<a>` invalid HTML in artifact components and add missing `noopener,noreferrer` to `window.open` calls to prevent reverse tabnabbing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(frontend): address Copilot review on tabnabbing and double-tab-open Remove redundant parent onClick on web_fetch ChainOfThoughtStep to prevent opening two tabs on link click, and explicitly null out window.opener after window.open() for defensive tabnabbing hardening. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * refactor(persistence): organize entities into per-entity directories Restructure the persistence layer from horizontal "models/ + repositories/" split into vertical entity-aligned directories. Each entity (thread_meta, run, feedback) now owns its ORM model, abstract interface (where applicable), and concrete implementations under a single directory with an aggregating __init__.py for one-line imports. Layout: persistence/thread_meta/{base,model,sql,memory}.py persistence/run/{model,sql}.py persistence/feedback/{model,sql}.py models/__init__.py is kept as a facade so Alembic autogenerate continues to discover all ORM tables via Base.metadata. RunEventRow remains under models/run_event.py because its storage implementation lives in runtime/events/store/db.py and has no matching repository directory. The repositories/ directory is removed entirely. All call sites in gateway/deps.py and tests are updated to import from the new entity packages, e.g.: from deerflow.persistence.thread_meta import ThreadMetaRepository from deerflow.persistence.run import RunRepository from deerflow.persistence.feedback import FeedbackRepository Full test suite passes (1690 passed, 14 skipped). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(gateway): sync thread rename and delete through ThreadMetaStore The POST /threads/{id}/state endpoint previously synced title changes only to the LangGraph Store via _store_upsert. In sqlite mode the search endpoint reads from the ThreadMetaRepository SQL table, so renames never appeared in /threads/search until the next agent run completed (worker.py syncs title from checkpoint to thread_meta in its finally block). Likewise the DELETE /threads/{id} endpoint cleaned up the filesystem, Store, and checkpointer but left the threads_meta row orphaned in sqlite, so deleted threads kept appearing in /threads/search. Fix both endpoints by routing through the ThreadMetaStore abstraction which already has the correct sqlite/memory implementations wired up by deps.py. The rename path now calls update_display_name() and the delete path calls delete() — both work uniformly across backends. Verified end-to-end with curl in gateway mode against sqlite backend. Existing test suite (1690 passed) and focused router/repo tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): route all thread metadata access through ThreadMetaStore Following the rename/delete bug fix in PR1, migrate the remaining direct LangGraph Store reads/writes in the threads router and services to the ThreadMetaStore abstraction so that the sqlite and memory backends behave identically and the legacy dual-write paths can be removed. Migrated endpoints (threads.py): - create_thread: idempotency check + write now use thread_meta_repo.get/create instead of dual-writing the LangGraph Store and the SQL row. - get_thread: reads from thread_meta_repo.get; the checkpoint-only fallback for legacy threads is preserved. - patch_thread: replaced _store_get/_store_put with thread_meta_repo.update_metadata. - delete_thread_data: dropped the legacy store.adelete; thread_meta_repo.delete already covers it. Removed dead code (services.py): - _upsert_thread_in_store — redundant with the immediately following thread_meta_repo.create() call. - _sync_thread_title_after_run — worker.py's finally block already syncs the title via thread_meta_repo.update_display_name() after each run. Removed dead code (threads.py): - _store_get / _store_put / _store_upsert helpers (no remaining callers). - THREADS_NS constant. - get_store import (router no longer touches the LangGraph Store directly). New abstract method: - ThreadMetaStore.update_metadata(thread_id, metadata) merges metadata into the thread's metadata field. Implemented in both ThreadMetaRepository (SQL, read-modify-write inside one session) and MemoryThreadMetaStore. Three new unit tests cover merge / empty / nonexistent behaviour. Net change: -134 lines. Full test suite: 1693 passed, 14 skipped. Verified end-to-end with curl in gateway mode against sqlite backend (create / patch / get / rename / search / delete). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com>	2026-04-26 11:05:47 +08:00