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Commits
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d13cc0804a |
fix(providers): carry tool name on tool results for Gemini
Gemini drops tool_call_id and pairs functionCall/functionResponse by function name, so its OpenAI-compat shim requires a non-empty FunctionResponse.name. The name was only recoverable through a reverse id->name lookup over assistant tool_calls still present in the request window, which fails after pruning, truncation or tool_call collapse and produces HTTP 400 "Name cannot be empty" on any follow-up iteration. Add Message.ToolName, set it at every tool-result creation site and preserve it through context pruning, then prefer it when serializing. Fall back to the existing index for history persisted before the field, so old sessions keep working without a reset. When neither source resolves a name, drop the unlabelled tool result instead of emitting an empty one: an empty name is a guaranteed 400 and a synthetic name would match no prior functionCall. Gated behind the existing Gemini detection so other OpenAI-compat hosts, which pair by tool_call_id, are unaffected. Field is JSON-optional, so session history needs no migration and older binaries ignore it on rollback. |
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4426f76140 | fix(agent): deduplicate automatic media delivery | ||
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bb7712a9ff |
fix(collaboration): harden delegated task isolation (#1486)
* feat(collaboration): isolate delegated artifacts and child runs Isolate delegated inputs and outputs behind secure artifact exchange lifecycles. Scope Agent Link tasks by tenant and root agent, and enforce delegation spawn-tree boundaries. Add process-wide child-run admission and preserve logical media paths across native, MCP, and sandbox execution. * fix(collaboration): harden delegated task isolation Enforce tenant and root-agent task scope across migrations and stores. Add exactly-once async completion delivery, delegated sandbox boundaries, and confined artifact and media recovery across runtime surfaces. * fix(collaboration): recover interrupted async tasks * fix(collaboration): normalize persisted child-run status --------- Co-authored-by: ntduc <ntduc@cpp.ai.vn> |
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bd5adc61c8 |
feat(bitrix24): imbot.v2 migration, 2-way media, openline sender-tag echo, and hardening (#1236)
* refactor(bitrix24): rename "Path B" framing to maintainer-specified naming [B24:2794] Per maintainer hard rule #10 (no generic "Path A/B" framing) from PR #1061 review. The Bitrix24 MCP auto-onboard flow is Bitrix-specific glue ("Bitrix24 OAuth -> existing mcp_user_credentials bridge"), NOT a generic MCP architecture pattern. Naming convention applied consistently: - First mention per file: full "Bitrix24 OAuth -> existing mcp_user_credentials bridge" (matches maintainer comment verbatim). - Subsequent mentions in same file: shortened "mcp_user_credentials bridge". - Test/log context referencing literal endpoint /api/auto-onboard: keep "auto-onboard" reference (it's the actual API endpoint name). Changes are documentation-only: - Rename in code comments + test descriptions + plan docs. - Clarify framing in mcp_client.go + provisioner.go doc comments to emphasize Bitrix-specific glue (not generic MCP infra). - Reuse existing mcp_user_credentials table + MCPServerStore methods (no schema / store / abstraction change). Files: - cmd/gateway.go (factory registration doc) - internal/channels/bitrix24/{channel,factory,mcp_client,provisioner}.go - internal/channels/bitrix24/{mcp_client,provisioner}_test.go - plan/goclaw-mcp-integration.md (21 occurrences) Verified: go build + MCP-related tests pass (TestProvision*, TestInitMCPProvisioner*, TestMCPClient*). Phase 1 of Path C execution per plans/reports/decision-log-260519-1555-bitrix24-pr-fork-decision.md. * fix: confine outbound media paths to agent workspace [B24:2794] Tool MEDIA:<path> output reached channel file-upload sinks (Bitrix imbot.v2.File.upload, Telegram sendDocument, etc.) verbatim via parseMediaResult, with no workspace-boundary check. A malicious or buggy tool emitting MEDIA:/etc/passwd could exfiltrate arbitrary files to chat. Extract the EvalSymlinks+Rel containment from extractMediaFromContent into a shared confineToWorkspace helper and apply it at the parseMediaResult sink in processToolResult. Fixing at the source/egress boundary protects every channel at once rather than per-channel. Paths that escape the workspace are dropped and logged (security.media_path_rejected). Add TestConfineToWorkspace (boundary unit) and TestParseMediaResultConfinedToWorkspace (sink regression for H2). * feat(bitrix24): support inbound + outbound media via imbot.v2 File API [B24:2794] Bitrix24 channel was text-only; attachments were parsed but dropped. - Inbound: download chat files via imbot.v2.File.download (one-time URL), forward to the agent with MIME preserved (internal/channels/bitrix24/download.go). - Outbound: upload agent media to the chat via imbot.v2.File.upload (internal/channels/bitrix24/send_media.go). - Add BaseChannel.HandleMessageMedia to preserve MIME/filename through the bus. - Per-channel media_max_mb cap (default 20) applies to both directions. Tests: 92 pass (internal/channels/bitrix24 + internal/channels), go vet clean (PG + sqliteonly). * refactor(bitrix24): migrate messaging/bot-list/unregister to imbot v2 API [B24:2794] Move outbound REST calls to the imbot v2 family (keeps register on v1): - imbot.message.add -> imbot.v2.Chat.Message.send (fields.message shape, live-verified) - imbot.bot.list (+ legacy imbot.list fallback) -> imbot.v2.Bot.list; add botListRows to normalize the v2 {bots:[...]} envelope, legacy array, and id-keyed map forms - imbot.unregister -> imbot.v2.Bot.unregister Bot registration stays on v1 imbot.register: v2 imbot.v2.Bot.register changes the event-delivery model (per-event handler URLs -> eventMode), which would require rewriting the inbound event parser. No user-facing behavior change. Tests: bitrix24 package green; go vet ./... clean. * feat(bitrix24): route whisper via v1 SKIP_CONNECTOR + add v2 replyId [B24:2794] Bot was leaking HiddenMessage (whisper) replies to the external Zalo connector because every outbound call went through imbot.v2.Chat.Message.send, which has no equivalent of the v1 SKIP_CONNECTOR flag. Branch the outbound path on inbound visibility: whisper → imbot.message.add + SKIP_CONNECTOR=Y (v1, send_v1.go) public → imbot.v2.Chat.Message.send + fields.replyId (v2, send_v2.go) Pipeline: events.go parse data[PARAMS][PARAMS][COMPONENT_ID]=HiddenMessage into EventParams.IsHiddenMessage (form + JSON variants) handle.go set bitrix_visibility on InboundMessage.Metadata consumer forward visibility + message_id into OutboundMessage send.go resolveSendOptions + sendChunk dispatcher + shared callWithRateLimitRetry helper metadata_keys.go single source of truth for the keys + values Defaults preserve pre-refactor behaviour: callers that don't populate bitrix_visibility still go through v2 public, and replyId is omitted unless a numeric bitrix_message_id arrives in metadata. Tests: TestParseEvent_FormURLEncoded_IsHiddenMessage (3 cases) TestParseEvent_JSON_IsHiddenMessage (3 cases) TestResolveSendOptions (8 cases) TestSend_BranchesOnVisibility (4 cases) * feat(bitrix24): openline sender-tag echo on replies [B24:2794] Openline sender-tag echo (this change): - Capture the connector sender tag ("[name #id]:" or "[name] #id:") from inbound openline group messages, strip it from the body the agent sees, and re-prepend the canonical "[name] #id:" form to the reply so the Open Channel connector routes the answer back to the right external user. - New sender_prefix.go helper (+ test) accepts both inbound layouts and emits one canonical form; scoped to messages carrying the tag, so plain chats are unaffected. - metadata_keys.go: MetaKeySenderPrefix; handle.go capture/strip/stash; gateway_consumer_normal.go forwards the key; send.go prepends it on the first chunk before chunking. Bundled bitrix24 channel-core work already on this branch: - handle.go: @mention is the sole trigger for both staff and connector customers; unmentioned traffic is dropped (was: drop all connector msgs). - isGroupMessageType: treat SONET_GROUP "B" as a group. - handle_test.go, mcp_client_test.go: cover the above. * feat(bitrix24): accept colon-less openline sender tag, echo [name] #id [B24:2794] The Open Channel connector dropped the trailing colon from its sender tag: inbound now arrives as "[Name] #id <msg>" (was "[Name] #id: <msg>"). The id-bearing patterns required the colon, so the tag fell through to the name-only branch and the reply echoed "[Name]" — dropping the #id the connector needs to route the answer back. - sender_prefix.go: make the trailing ":" optional on both id layouts ([name #id] / [name] #id, with or without colon) and echo the canonical "[name] #id" (no colon) to match the connector's current format. Bare "[name]" (no id) still echoes "[name]" for Open Channel only. - handle.go: gate the bare name-only layout to Open Channel (isOpenChannel) so ordinary group chats starting with "[x] ..." are left untouched. - sender_prefix_test.go: cover colon/no-colon x id-inside/id-outside, the name-only openline case, and the non-openline no-op. * fix: security and robustness fixes from the bitrix24 channel review [B24:2794] - download.go: block redirect-based SSRF on inbound media. CheckRedirect re-validates each hop (http(s) only, reject private/loopback/link-local hosts, cap hops); the initial portal-domain pin is no longer bypassable via a 3xx to an internal service. Public-host redirects still allowed. - handle.go: extract/echo the openline sender tag only for Open Channel sessions (was: any group chat), removing bogus prefixes in CRM group chats and narrowing the forged-tag misroute surface. - loop_tools.go + loop_media.go: confine result.Media to the agent / team / tenant-allowed roots (new confineToAnyRoot) before a channel uploads it, so a prompt-injected out-of-workspace path (e.g. /etc/passwd) cannot exfiltrate, while legitimate cross-workspace media (team files, delegatee output) still flows. - send_media.go: bounded outbound read via io.LimitReader replaces the os.Stat + os.ReadFile pair, closing the TOCTOU size-cap bypass; cap a single message's outbound attachments at 10 (mirrors inbound). - register.go: paginate imbot.v2.Bot.list (limit/offset + hasNextPage, capped at 40 pages) so verify/lookup see bots past the first 50. - mcp_client.go: redact access_token / refresh_token / client_secret from an echoed MCP error body before it is logged or returned (+ test). * fix(security): validate resolved dial IP on Bitrix media redirects [B24:2794] The inbound media download redirect guard only string-checked the redirect hostname (isPrivateOrLoopback on req.URL.Hostname()), so a redirect to a public hostname that resolves to 127.0.0.1 / 169.254.169.254 / an RFC1918 address — or a DNS-rebinding swap between check and dial — still passed the guard and the client would connect. Reported in PR review. Add security.NewRedirectFollowingSafeClient: it follows redirects but validates the RESOLVED destination IP of every hop at dial time via net.Dialer.Control, reusing the existing blocked-CIDR list. The IP it checks is the IP actually dialed, so both redirect-to-internal and DNS rebinding are refused, while legitimate public CDN redirects still succeed. download.go now uses it instead of the hostname-string guard. Tests: deterministic dial-control table (loopback / link-local / private / multicast / unspecified / public, v4 + v6), malformed/non-IP addr, test bypass, loopback-dial-blocked client wiring, and redirect cap + scheme checks. * feat(bitrix24): per-participant Zalo openline identity from 3-token sender tag [B24:2794] Parse the connector's "[Name] #uid #msgId" sender tag so each external customer in a shared Open Channel group gets its own contact + USER.md instead of collapsing onto the connector proxy id. Identity minting is gated on IS_CONNECTOR=Y to reject operator forged tags. Echo back the msgId only ("#msgId") on replies; keep the legacy single-number and name-only layouts unchanged. Zero DB migration. - sender_prefix.go: parseOpenlineSenderTag() classifies 3-token / legacy / name-only - handle.go: synthetic senderID "openlines:{instance}:{chat}:{uid}" + participant_user_id metadata, gated on FromIsConnector - gateway_consumer_normal.go: deriveGroupUserID() routes participant -> per-person scope, group fallback otherwise - send.go: buildAddressMention numeric-id guard so synthetic ids don't emit invalid [USER=...] BBCode - MetaKeyMessageID kept as Bitrix MESSAGE_ID (drives v2 fields.replyId); connector msgId surfaced only via echo prefix --------- Co-authored-by: DangTinh311 <dangtinh31193@gmail.com> Co-authored-by: Chinh Dang <chinhdang@192.168.68.104> |
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9cd57a920c | feat: add multi-attachment delivery batching | ||
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4b02c27307 |
feat: native image_generation for Codex + OpenAI-compat providers (#1002)
* refactor(providers): migrate ToolDefinition.Function to pointer + add image response fields
ToolDefinition.Function becomes *ToolFunctionSchema with omitempty so native tool types (image_generation, web_search, etc.) can be declared without a function body. All 9 internal construction sites updated. CleanToolSchemas refactored — function-shape cleaning extracted into cleanFunctionSchema helper, outer pass-through handles native tools.
Added image response fields needed by the next commits: ChatResponse.Images, StreamChunk.Images, ImageContent.Partial (distinguishes partial frames from final images).
* feat(providers): native image_generation for Codex + OpenAI-compat tracks
Codex native (POST /codex/responses): emit image_generation tool object in request tools[] (type, action, model, output_format, partial_images). Handle SSE events response.image_generation_call.partial_image + response.output_item.done (type image_generation_call) + response.completed output[] walk for non-stream. Dedup per item_id. Extend codexSSEEvent/codexItem with output_format, result, partial_image_b64, partial_image_index.
OpenAI-compat (/v1/chat/completions): serialize ToolDefinition{Type:'image_generation'} as {type:'image_generation'} pass-through. Parse choices[0].message.images[] + delta.images[] (data URLs) via new parseDataURL helper; append to ChatResponse.Images.
ProviderCapabilities.ImageGeneration flag; Codex provider + adapter set true. Other providers default false.
* feat(agent,http,store): persist assistant images + tri-level image_generation gate
Agent loop tri-level gate: (provider capability) AND (AgentConfig.AllowImageGeneration, default true, stored in other_config.allow_image_generation) AND (request lacks x-goclaw-no-image-gen header). Gate in loop_tool_filter.go appends ToolDefinition{Type:'image_generation'} only when all three pass. Per-request opt-out parsed in chat_completions.go and propagated via RunRequest.NoImageGen.
Media persistence: persistAssistantImages writes final images (Partial:false) to {workspace}/media/{sha256}.{ext}, returns MediaRef entries, clears inline Images[] from the message. Idempotent on hash, traversal-safe, symlink-guarded. Invoked from pipeline.FinalizeStage via new Deps.PersistAssistantImages callback — covers both stream-final and non-stream paths.
Agent store reads AllowImageGeneration from other_config JSONB with absent/nil = true default (matches V3Flags pattern). No DB migration — code-only default.
* feat(ui/web): image_generation toggle + streaming placeholder + download filename
Composer chip 'Images' visible only when active agent's provider has ImageGeneration capability. Per-agent localStorage persistence via useImageGenToggle hook. When off, sends noImageGen:true to WS chat method (maps to x-goclaw-no-image-gen on upstream HTTP call path).
ActiveRunZone renders a skeleton placeholder while streaming partial_image frames arrive. MediaGallery assigns generated-YYYYMMDD-HHmmss.png as the download filename for hex/UUID PNGs.
i18n keys added to en/vi/zh chat.json: imageGenToggle, imageGenGenerating, imageGenDownloadName. 8 vitest tests for the toggle hook.
* docs: add Image Generation section to codebase-summary + changelog entry
Documents the new native image_generation pipeline across providers layer (Codex + OpenAI-compat), agent gate, media persistence, and web UI surface.
* fix(ui/web): match Codex-routed providers for image_generation toggle
Image-gen toggle visibility was hard-coded to provider id 'chatgpt_oauth' but real Codex-routed agents in production use provider ids like 'cliproxy-codex'. The toggle never rendered.
Replace the Set-has check with a small helper that accepts the literal ids plus any provider string containing 'codex' (case-insensitive). Same logic applied in both chat-input.tsx (composer chip) and chat-page.tsx (streaming placeholder gate).
Verified against a live Codex-routed agent: toggle now renders, noImageGen:true propagates on toggle-off.
* docs(pr-1002): targeted-mode UX evidence report
Captures the UI integration surface for native image_generation against a live Codex-routed agent on the remote dev backend.
Includes: composer toggle chip (rendered), streaming skeleton placeholder, and honest failure-path capture showing the legacy create_image builtin fallback. Self-contained HTML report in .github/pr-assets/1002/index.html.
* fix(permissions): classify sessions.compact as write method
CI RBAC-drift test (TestMethodRole_DriftCoverage_AllProtocolMethodsClassified) was failing because the new sessions.compact method added upstream was not classified in any of isPublicMethod / isAdminMethod / isWriteMethod / isReadMethod.
Sessions compaction mutates session history (compacts messages into summaries), so it belongs with the other sessions.* write methods.
* fix(tests): remove duplicate contains() in integration package
Both tts_gemini_live_test.go and mcp_grant_revoke_test.go declared a file-local func contains(s, substr string) bool with identical bodies, causing 'contains redeclared in this block' at compile time in the integration job.
Replace all call sites with strings.Contains (same semantics, stdlib) and drop the duplicates. No behavior change.
* feat(providers): NativeImageProvider interface + Codex implementation
Defines a provider-level contract (NativeImageProvider.GenerateImage) that OAuth-backed providers can implement to serve image generation without exposing static API credentials. Re-uses the PR's Track A native wire format (POST /codex/responses with image_generation tool, item.result decoding, SSE fallback).
CodexProvider + CodexAdapter implement it. Also adds MediaRef.Prompt field so downstream layers can propagate the generating prompt alongside the asset.
* feat(tools): route create_image through NativeImageProvider for OAuth providers
create_image.callProvider now checks for a NativeImageProvider implementation before the credentialProvider interface. When the provider chain points at a Codex-family provider (no static API key), the tool delegates to the provider's GenerateImage which executes the native ChatGPT Responses API image_generation flow.
Resolves 'provider X does not expose API credentials required for image generation' errors for openai-codex / cliproxy-codex chains. On success the tool embeds the user's prompt as a PNG tEXt 'Description' chunk (file-local pngEmbedPrompt helper to avoid tools→agent import cycle), writes the image to /tmp, and threads the prompt through result.MediaPrompts for downstream MediaRef propagation.
* feat(agent,pipeline): propagate image prompt through MediaRef + PNG tEXt embed helper
Adds EmbedPNGPrompt public helper in internal/agent/png_metadata.go that inserts a tEXt 'Description' chunk (plus 'Software: goclaw') into PNG byte streams before the IEND chunk. Non-PNG inputs are passed through unchanged — the helper never errors on unknown formats.
FinalizeStage wires MediaResult.Prompt (from create_image tool output) onto MediaRef.Prompt so the UI can render the generating prompt alongside the image. Per-image prompt list threaded via pipeline RunState.
* feat(ui/web): show generating prompt as caption under each image in MediaGallery
When a MediaRef carries a prompt, MediaGallery renders it as a muted italic caption (line-clamp-2) beneath the image with the full text in the title tooltip. Caption is hidden when the prompt is absent so non-assistant images (user uploads, legacy data) look unchanged.
MediaItem + session media_refs types extended with an optional prompt field; the chat-message adapter threads ref.prompt through when converting WS payloads to UI state.
* fix(providers/codex): stream:true + instructions for native image_generation
The ChatGPT Responses API on /codex/responses rejects two things hard:
- stream:false → HTTP 400 "Stream must be set to true"
- missing instructions → HTTP 400 "Instructions are required"
buildNativeImageRequestBody now sets stream:true and a purpose-specific instructions string ("Generate an image matching the user's description using the image_generation tool. Return only the image; do not describe it in text."). The existing parseNativeImageSSE path was already in place for stream parsing; routing changed from the non-stream branch to the SSE branch.
Regression assertions added to TestCodexGenerateImage_BuildsNativeRequest so these two fields can't silently regress.
* feat(providers,tools,ui): image_model whitelist (gpt-image-2 default, gpt-image-1.5 legacy)
Replaces the hardcoded "gpt-image-2" literal in buildNativeImageRequestBody with a user-configurable field threaded through NativeImageRequest.ImageModel. The whitelist is enforced by ValidateImageModel which rejects anything outside {gpt-image-2, gpt-image-1.5} with a clear error — prevents silent upstream 400s from model names the Responses API would reject.
create_image.callProvider reads params.image_model from the chain entry and threads it through. Empty / absent falls back to DefaultImageModel (gpt-image-2).
UI: added an 'Image model' select inside the existing openai-codex Settings panel on the Create Image Provider Chain dialog. Options: Default · gpt-image-2 (recommended) and Legacy · gpt-image-1.5. i18n keys in en/vi/zh tools.json under builtin.mediaChain.
Tests: TestCodexGenerateImage covers default/legacy/rejected model cases; TestCreateImageTool_ThreadsImageModel covers params→request threading with empty/legacy/explicit sub-cases.
* fix(tools): raise media chain default timeout to 600s/1 retry for image gen
gpt-image-2 on complex prompts (dense Vietnamese text, infographic layouts) legitimately takes 4–8 minutes to complete. The previous default of 120s × 2 retries routinely died mid-generation with 'context deadline exceeded' — the upstream run was still producing bytes when our ctx cancelled.
Default is now Timeout: 600 / MaxRetries: 1. Retries dropped to 1 because image generation is stateful per upstream run: a mid-flight timeout leaves orphan server work, and retrying a fresh generation doubles cost for no gain. Surface the failure fast so operators can widen the timeout instead.
Operators can still set a tighter value explicitly via the Chain dialog.
* refactor: remove user-facing Images toggle, keep admin-level AllowImageGeneration
The per-request opt-out toggle (composer chip + streaming placeholder + noImageGen header plumbing) was a support footgun — users toggle OFF, forget, then can't generate images and think it's broken. Removed in full.
Kept: AgentConfig.AllowImageGeneration (admin kill-switch, stored in other_config.allow_image_generation, default true). Tri-level gate simplifies to two tiers: provider capability AND agent config allows.
Removed: useImageGenToggle hook, IMAGE_GEN_PROVIDER_IDS set in chat-input, supportsImageGenProvider helper, agentProvider/agentKey props on ChatInput, showImageGenPlaceholder prop on MessageBubble/ActiveRunZone/ChatThread, noImageGen param on use-chat-send, parseNoImageGen in chat_completions.go, NoImageGen on RunRequest, no_image_gen_header_test.go, imageGenToggle/imageGenGenerating i18n keys. Kept imageGenDownloadName — used by MediaGallery for generated-\*.png filename resolution.
* docs(pr-1002): refreshed UX trace + updated codebase notes
Replaces the earlier stealth-state evidence with a clean three-capture trace from a real successful run: inline image + prompt caption, MediaGallery lightbox expansion, Chain dialog with the new Image model dropdown open. Skill-routing rows scrubbed from the capture — they reflect per-agent skill setup, not anything this PR introduces.
codebase-summary + changelog: reflect final state (toggle removed, image_model selector, 600s default chain timeout, gpt-image-2 as quality baseline).
* fix(pipeline): preserve mid-loop image_generation output across iterations
FinalizeStage previously read state.Think.LastResponse.Images, which holds
only the last iteration's response. If the LLM emitted image_generation_call
in iteration N alongside a function_call, then responded text-only in N+1,
the image from N was silently dropped on finalize.
Accumulate final (non-partial) images into state.Observe.AssistantImages
across every iteration via ObserveStage, and source FinalizeStage from the
accumulator instead of LastResponse. Partial streaming frames are filtered
defensively; response.Images is cleared on drain to prevent double-counting
on re-exec.
* test(pipeline): regression coverage for mid-loop image accumulation
Six ObserveStage cases covering image accumulation semantics:
- single-iter image-only, image+tool_call same iter, mid-loop image
surviving text-only final iter, multiple images across iters, partial
frame filtering, nil-response safety.
Two FinalizeStage cases verifying accumulator is the source of truth:
- PersistsFromObserveAccumulator: image in Observe + empty LastResponse
must still be persisted via PersistAssistantImages.
- NoPersistWhenAccumulatorEmpty: no call when no images were emitted.
---------
Co-authored-by: viettranx <viettranx@gmail.com>
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40e32cf239 |
fix(agent): uniqueness-aware loop detector + auto-fail killed team tasks (#506)
Read-only streak detector was a dumb counter that killed agents exploring unique files (12 reads = kill regardless of uniqueness). Team tasks were then falsely auto-completed with the kill message as "result." Changes: - Add uniqueness ratio to read-only streak: exploration mode (>60% unique) uses relaxed thresholds (warn=24, kill=36) vs stuck mode (warn=8, kill=12) - Classify team_tasks by action: list/get/search=read-only, progress=neutral, create/complete/cancel/comment/etc.=mutating - Add LoopKilled flag to RunResult, propagated through all 3 kill paths - Consumer routes LoopKilled to FailTask (not CompleteTask) with clear signal - 40 tests covering uniqueness detection, team_tasks classification, exact #506 trace replay, boundary values, and edge cases |
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c1377de943 |
refactor(agent): extract tool result processing to loop_tools.go
DRY: deduplicate tool result processing between single-tool and parallel-tool paths. New processToolResult() and checkReadOnlyStreak() methods on *Loop handle loop detection, event emission, media collection, deliverables, and spawn tracking. Reduces loop.go from 1324 to 1123 LOC (-201). No behavior change. |