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18
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Zezae Oh
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8ea166f2e5 |
fix(providers): retry transient Codex response failures (#1334)
Backport of #1332 to dev — retry transient Codex failures |
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Zezae Oh
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968745bd16 | feat(providers): enable Codex prompt cache controls (#1310) | ||
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Zezae Oh
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b8726ff4f4 | fix(providers): parse Codex cached token usage (#1309) | ||
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Goon
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9ff5a629d2 | feat(usage): add AI budget usage caps | ||
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Duy /zuey/
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52aa110e1f |
feat(providers): default ChatGPT OAuth to GPT-5.5
Default ChatGPT Subscription (OAuth) provider model selection to GPT-5.5 and update model metadata, tests, and docs. |
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Kai (Tam Nhu) Tranandviettranx
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abb10976f7 |
feat(codex-pool,create_image): collapse primary_first + route pools through create_image chain (#1006)
* refactor(codex-pool): remove redundant primary_first strategy * test(tools): update tool schema fixtures to pointer form * feat(create_image): route Codex pools through chain with member failover Codex pool chain entries now iterate pool members per the pool's own strategy (round_robin or priority_order) and fail over internally before the outer chain advances to the next entry. - ChatGPTOAuthRouter.GenerateImage implements NativeImageProvider: iterates orderedProviders, tries each member, advances round-robin state only on success, aggregates errors on pool exhaustion. - media_provider_chain.wrapPoolProvider wraps a *CodexProvider in a router when RoutingDefaults has extras or a non-primary-first strategy. Solo Codex (no extras) stays unwrapped. - Router exposes ProviderType() so chain telemetry records "chatgpt_oauth". Closes #1008 * feat(ui/builtin-tools): pool badge on create_image chain entries Chain entry card shows a read-only "Pool · <strategy>" badge when the entry's provider is a Codex pool base. Strategy label translates in en/vi/zh. No new toggle or selector — pool config lives on the provider itself. #1008 * refactor(providers): move Codex test helpers to providertest subpackage Addresses code-review High finding: NewTestCodexProviderFast and its staticTestTokenSource were exported from a non-_test.go file, compiling into the production binary. Relocating to internal/providers/providertest/ keeps the helper importable from other packages' tests without leaking test-only symbols into production. Also tightens wrapPoolProvider — pools with zero extra members no longer get wrapped in a router (KISS: nothing to rotate between). - Added CodexProvider.WithRetryConfig as a legitimate fluent option (the test helper now uses the public API). - Dropped the internal-package test helper file. #1008 * docs(pr-1006): add pool badge UI evidence Force-UI style capture of the read-only "Pool · Round-robin" badge on the create_image chain entry card when the selected provider carries settings.codex_pool with extras. Captured against staging gateway. * refactor(ui/builtin-tools): unify pool UX with Create Agent pattern The create_image chain Provider dropdown was listing pool members alongside pool owners, letting users accidentally bypass pool semantics by picking a member directly. Matches the pattern already used by Create Agent: hide pool members, show an inline "Pool" chip on owners. - Filter pool members from the chain Provider dropdown via getChatGPTOAuthPoolOwnership.ownerByMember. - Inline "Pool" chip on owner options, reusing the existing providers:list.poolBadge i18n key. - Drop the separate card-level "Pool · <strategy>" badge — the dropdown chip alone conveys the information without duplication. - Remove the now-unused isPoolProvider / poolStrategyOf helpers and the builtin.mediaChain.poolBadge* i18n keys we briefly introduced. #1008 * docs(pr-1006): add pool-filtered dropdown screenshot * fix(ui/builtin-tools): migrate stale pool-member chain entries on load Red-team blocker: a chain saved before the pool-aware UI landed may reference a pool member by name (e.g. openai-codex-2). After the dropdown started hiding members, such an entry produced: - empty Select trigger (no SelectItem matches the stored value) - conflicting Row 1 label still showing the member name - silent runtime misroute (bare solo call, no pool wrap) parseInitialEntries now consults getChatGPTOAuthPoolOwnership and rewrites any chain entry whose provider is a pool member to the owner's name + id. The next save persists the migrated value. Safe no-op for non-pool entries and for entries already pointing at an owner. Also memoize enabledProviders in the parent form so the card's useMemo boundaries actually hold (minor perf ding flagged by same review). * docs(pr-1006): refresh HTML evidence to match filter-based UX * fix(ui/agent-codex-pool): traffic policy reflects effective strategy under inherit On the agent's OpenAI Account Pool page, when Agent routing mode is Use Provider Defaults, the Traffic Policy buttons painted the draft's placeholder strategy ("priority_order") as selected — contradicting the top-of-page chip which already correctly shows the provider's effective strategy. The removal of primary_first in this PR unmasked the latent bug: the placeholder used to be a deprecated value that didn't match any live button, so nothing appeared selected. Derive selectedStrategy from defaultRouting when mode === "inherit": the button highlight now mirrors what actually runs. Buttons remain disabled in inherit mode (unchanged), but the displayed selection no longer misleads the user. * docs(pr-1006): add screenshot of inherit-mode Traffic Policy fix * fix(permissions): remove duplicate MethodSessionsCompact entry The writeExact slice listed MethodSessionsCompact twice. slices.Contains still returned correct results so runtime behavior is unchanged, but the duplicate entry was dead code. Spotted during review of PR #1006. --------- Co-authored-by: viettranx <edu@200lab.io> |
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Kai (Tam Nhu) Tranandviettranx
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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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viettranx
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339b13e8f0 |
fix(providers): return error on Codex response.failed instead of silent success (#888)
response.failed was lumped with response.completed/incomplete, causing silent empty responses with no retry. Split into its own case that returns a descriptive error from processSSEEvent, propagated up to ChatStream caller for proper error surface and retry logic. Added codexErrorDetail to codexAPIResponse to parse the error payload. |
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viettranx
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1ac08155b0 |
feat(trace): reliable stop/abort with ctx-aware streams and 2-phase router
Makes the Stop button on the traces page actually stop running traces. Seven-phase implementation across provider HTTP, agent router, trace persistence, WS events, tool exec, i18n, and integration tests. - Provider HTTP+SSE ctx-aware: close socket on cancel via CtxBody wrapper - Router 2-phase abort: CAS state machine, 3s grace, force-mark fallback - Trace retry: 3 inline retries + 10-max retry queue, stale recovery 10min - trace.status WS event: real-time UI updates (invalidates query on receive) - Tool exec: process-group kill (SIGTERM→3s→SIGKILL), Rod page ctx watch - i18n: 6 abort toast variants in en/vi/zh - Integration: 9 scenarios, -race clean Fixes tenant-ctx loss in forceMarkTraceAborted and retry worker broadcast (caught by code-reviewer: C1/C2). Stale threshold intentionally 10min because start_time-based; last_span_at migration is a follow-up. |
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viettranx
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4cf66eb379 |
feat(ts-port): reasoning strip, dreaming config + weighted scoring
Phase 6 — Reasoning token stripping: - ReasoningDecision.StripThinking auto-flags Kimi + DeepSeek-Reasoner - Guard clauses in Anthropic/OpenAI/Codex stream handlers - Usage.ThinkingTokens + RawAssistantContent preserved (billing + tool passback safe) Phase 8 — Per-agent dreaming config: - MemoryConfig.Dreaming JSONB (no migration), resolver callback pattern - Enabled/DebounceMs/Threshold/VerboseLog fields with partial-override merge - ConsolidationDeps gains optional AgentStore Phase 10 — Dreaming weighted scoring: - Migration 000045 adds recall_count/recall_score/last_recalled_at on episodic_summaries - ComputeRecallScore 4-component formula (freq/rel/recency/freshness, 14d half-life) - memory_search fire-and-forget RecordRecall; ListUnpromotedScored in DreamingWorker - Bootstrap-friendly filter: unrecalled entries bypass thresholds - Debounce stamped on filter-empty skip to prevent starvation loop Phase 5 follow-up — last_compaction_at in sessions.metadata JSONB: - v3 PruneStage.CompactMessages and v2 maybeSummarize both stamp timestamp - Zero migration; exported const SessionMetaKeyLastCompactionAt RequiredSchemaVersion: 44 → 45 (PG), SchemaVersion: 12 → 13 (SQLite). 27 new tests; builds pass under PG and sqliteonly tags. |
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8f56ddaa64 |
feat(v3): core architecture redesign — pipeline, memory, vault, evolution, providers, orchestration (#790)
* feat(v3): add core interface contracts and migration for v3 redesign
Foundation interfaces: TokenCounter, WorkspaceContext, DomainEventBus,
ProviderAdapter/Capabilities. Pipeline: Stage, RunState, MessageBuffer,
substates, Pipeline orchestrator. Memory: EpisodicStore, AutoInjector,
KG temporal extensions, consolidation workers. System integration:
PromptConfig, ToolCapability, Retriever. Orchestration: OrchestrationMode,
EvolutionMetrics/SuggestionStore. Migration 000037: episodic_summaries,
evolution tables, KG temporal columns. Schema version 36→37.
* refactor(plans): mark all v3 design phases complete with file references
* fix(v3): address code review findings on design contracts
- C1: add missing l0_abstract column to episodic_summaries migration
- C2: align EpisodicSummary ID/TenantID/AgentID to uuid.UUID
- H1: document tenant_id scoping requirement on EpisodicStore
- H2: add UNIQUE constraint on (agent_id, user_id, source_id) for dedup
- H4: clarify ProviderAdapter vs Provider relationship in doc
- M3: set state.ExitCode on BreakLoop/AbortRun in pipeline
- M6: store full PipelineConfig in Pipeline struct
- Edge: add WHERE embedding IS NOT NULL on HNSW index
* fix(v3): second-pass review fixes
- H1: use context.WithoutCancel for finalize + set ExitCode on ctx cancel
- H2: use utf8.RuneCountInString consistently in FallbackCounter
- H3: longest-prefix-match in ModelContextWindow (prevents wrong tokenizer)
- H4: return unsubscribe cleanup func from consolidation.Register
* feat(v3): implement DomainEventBus with worker pool, dedup, and retry
Worker pool processes events from buffered channel. SourceID-based dedup
prevents duplicate processing. Exponential backoff retry on handler error.
Panic recovery per handler. Graceful shutdown via Drain(). 8/8 tests pass
with race detector.
* feat(v3): implement ProviderAdapter for Anthropic, OpenAI, DashScope, Codex
Add CapabilitiesAware to all 6 providers. Create ProviderAdapter
implementations that delegate to existing buildRequestBody/parseResponse
for DRY. ClaudeCLI and ACP get capabilities only (subprocess transport).
DashScope wraps OpenAI adapter with StreamWithTools=false override.
* feat(v3): implement WorkspaceContext Resolver for 6 scenarios
Stateless resolver produces immutable WorkspaceContext at run start.
Handles personal/group/predefined/team-shared/team-isolated/delegation.
Wired into loop_context.go behind v3PipelineEnabled flag (additive,
v2 path unchanged). Includes delegation path boundary check,
master tenant bypass, and tenant slug path composition.
* feat(v3): implement tiktoken TokenCounter with BPE encoding + cache
Adds tiktoken-go for accurate cl100k_base/o200k_base token counting.
Per-message FNV-1a hash cache avoids re-encoding unchanged history.
Falls back to rune/3 heuristic for unknown models. NewTokenCounter
factory selects implementation at build time.
* feat(v3): promote 12 other_config JSONB fields to dedicated agent columns
Extract emoji, agent_description, thinking_level, max_tokens,
self_evolve, skill_evolve, skill_nudge_interval, reasoning_config,
workspace_sharing, chatgpt_oauth_routing, shell_deny_groups, and
kg_dedup_config from the catch-all other_config JSONB into proper
columns with DB-level types and defaults.
- Migration: PG (000037) + SQLite (schema v6→7) with backfill
- Go: AgentData struct + simplified Parse* methods
- Store: SELECT/INSERT/scan updated for both PG and SQLite
- Gateway: create/update handlers accept promoted fields
- HTTP: export/import with legacy backward compat
- Web UI: all 15 frontend files read/write from top level
* feat(v3): implement Knowledge Vault with unified search, wikilinks, and FS sync
Migration 000038 adds vault_documents (FTS+pgvector), vault_links, vault_versions
tables. VaultStore interface with PG implementation for document CRUD, hybrid
FTS+vector search, and bidirectional link management. All queries enforce
tenant_id isolation including JOIN-based scoping on link operations.
FS sync layer: SHA-256 content hashing, VaultInterceptor hooks into write_file/
read_file for auto-registration and lazy sync, fsnotify watcher with 500ms
debounce. Wikilink engine parses [[target]] syntax, resolves targets via
3-step strategy, and maintains vault_links on write.
VaultSearchService fans out queries across vault, episodic, and KG stores in
parallel with per-source score normalization and weighted merge. AutoInjector
and Retriever implementations for pipeline integration.
Three agent tools: vault_search (unified discovery), vault_link (explicit
linking), vault_backlinks (dependency tracing). Feature-flagged via
v3_vault_enabled agent setting.
* feat(v3): wire vault into gateway startup + add unit tests
Wire VaultStore embedding provider, VaultSearchService, VaultInterceptor
on read/write tools, and register vault_search/vault_link/vault_backlinks
tools in gateway_vault_wiring.go. All wiring gated by stores.Vault != nil.
Add 28 unit tests for ContentHash, ContentHashFile, and ExtractWikilinks
covering edge cases, unicode, display text, context windows, and offsets.
* feat(v3): implement stage-based pipeline loop with 8 pluggable stages
Decompose monolithic agent loop into internal/pipeline/ package:
- 6 stages: Context, Think, Prune+MemoryFlush, Tool, Observe+Checkpoint, Finalize
- Foundation types: Stage interface, RunState with 7 typed substates, MessageBuffer
- Pipeline orchestrator with setup/iteration/finalize 3-phase execution
- Callback-based PipelineDeps avoids circular import with agent package
- Feature-flagged via v3PipelineEnabled in Loop.Run()
- All 7 exit conditions preserved (no tools, max iter, truncation, loop kill,
read-only streak, tool budget, ctx cancel)
* feat(v3): wire pipeline callbacks to Loop methods + add 71 unit tests
Wire 15 of 17 PipelineDeps callbacks from Loop methods via closures:
- Context: LoadContextFiles, BuildMessages, EnrichMedia, InjectReminders
- Think: BuildFilteredTools, CallLLM (stream/sync)
- Prune: PruneMessages, CompactMessages
- Memory: RunMemoryFlush
- Finalize: SanitizeContent, FlushMessages, UpdateMetadata, BootstrapCleanup, MaybeSummarize
- Remaining: ExecuteToolCall, CheckReadOnly (deep loop.go integration)
Add comprehensive test suite (71 tests, all passing with -race):
- MessageBuffer: 10 tests (append, flush, replace, counts)
- Pipeline.Run: 14 tests (3-phase flow, exit conditions, ctx cancel)
- Stage tests: 47 tests (ThinkStage nudges/truncation, PruneStage budget,
ToolStage parallel/exit, ObserveStage content, CheckpointStage interval,
FinalizeStage cleanup)
* feat(v3): wire remaining 2 callbacks (ExecuteToolCall, CheckReadOnly)
Complete callback wiring — 17/17 PipelineDeps callbacks now active:
- ExecuteToolCall: resolves tool name, executes via registry, processes
result via existing processToolResult with loop detection bridge
- CheckReadOnly: delegates to checkReadOnlyStreak via bridge runState
- Bridge runState shares loop detection state between pipeline and agent
* fix(v3): eliminate data race in tool execution + capture injected messages
- Remove parallel tool execution path — serialize all tool calls to avoid
data races on shared bridgeRS (loop detector, media results, deliverables)
- Loop kill checked after each tool (mid-batch early exit)
- BuildFilteredTools: capture and append injected tool-awareness messages
- Rename test to reflect sequential execution
* feat(v3): wire ResolveWorkspace, safe parallel tools, ContextStage tests
- Wire ResolveWorkspace callback via workspace.NewResolver() with
ResolveParams from Loop fields (no longer a nil stub)
- Re-add safe parallel tool execution: split into ExecuteToolRaw
(parallel I/O) + ProcessToolResult (sequential state mutation)
with opaque rawData pass-through (no double execution)
- Add 12 unit tests for ContextStage (8) + MemoryFlushStage (3)
- Split tool callbacks to loop_pipeline_tool_callbacks.go (under 200 lines)
- Capture buildFilteredTools injected messages
* feat(v3): add episodic memory store + temporal KG columns
Phase 1 — Episodic Store:
- Migration 000039: episodic_summaries table with pgvector, FTS, L0 abstracts
- EpisodicStore PG impl: CRUD, hybrid FTS+vector search, ExistsBySourceID,
PruneExpired. Idempotent via source_id UNIQUE constraint.
Phase 2 — Temporal KG:
- Migration 000040: valid_from/valid_until on kg_entities + kg_relations,
partial indexes for current-facts queries, epoch→timestamptz backfill
- ListEntitiesTemporal: current-only, point-in-time, or include-expired modes
- SupersedeEntity: atomic expire-old + insert-new in single transaction
Schema version bumped to 40.
* fix(v3): review fixes for episodic store + temporal KG
- C1: Fix column name mismatch turn_count vs message_count in Go SQL
- C2: Remove redundant migration 000040 (000037 already adds temporal KG columns)
- H1: Use time.Time not int64 for TIMESTAMPTZ columns in SupersedeEntity
- H2: Add tenant_id scoping to Get/Delete for tenant isolation
- M2: Fix scanEntityTemporal to convert TIMESTAMPTZ→UnixMilli correctly
- L1: Remove unused uuid import from episodic_search.go
- Schema version corrected to 39 (only 000039 is new)
* feat(v3): implement consolidation pipeline with 3 event-driven workers
Event chain: session.completed → EpisodicWorker → episodic.created →
SemanticWorker → entity.upserted → DedupWorker
- EpisodicWorker: reuses compaction summary or calls LLM, generates L0
abstract (extractive), idempotent via source_id check
- SemanticWorker: extracts KG facts from episodic summary via existing
Extractor, sets temporal valid_from, publishes entity.upserted
- DedupWorker: runs DedupAfterExtraction on new entity IDs (terminal)
- L0 abstract: sentence-based extraction (~50 tokens), no LLM needed
- All workers registered via DomainEventBus.Subscribe()
* feat(v3): implement progressive loading with L0 auto-inject + unified search
- AutoInjector: searches episodic store, builds L0 prompt section (~200 tokens),
skips trivial messages via stopword filter
- L1Cache: in-memory LRU (500 entries, 1h TTL) for structured overviews
- UnifiedSearch: cross-tier search merging episodic + document results by score
- ContextStage integration: AutoInject callback appends memory section to system prompt
- MemorySection field added to ContextState for observability
* feat(v3): add memory_expand tool for L2 episodic retrieval
New tool: memory_expand(id) returns full episodic summary with metadata.
Complements memory_search L0/L1 results with deep L2 access.
Nil-safe: returns error message when episodic store not available.
Gateway wiring + memory_search depth param + kg_search temporal param
deferred to runtime integration phase.
* feat(v3): complete Phase 5 — tool extensions + gateway wiring
- memory_search: add depth param + episodic tier search merged with docs
- kg_search: add as_of temporal param, use ListEntitiesTemporal
- memory_expand: registered in gateway startup
- Gateway: Episodic field in Stores, PGEpisodicStore in factory,
embedding provider wired, tools connected to episodic store
* fix(v3): Phase 3 review fixes — tenant isolation + AutoInject args
- C1: Add tenant_id filter to ftsSearch, vectorSearch, List queries
(prevents cross-tenant episodic memory leaks)
- C2: Fix AutoInject callback signature — agent/tenant captured by
closure, only userMessage + userID passed explicitly
- H1: Add tenant_id to List query
* feat(v3): wire per-agent v3 flags from DB into dual-mode gate
Parse v3_pipeline_enabled, v3_memory_enabled, v3_retrieval_enabled from
agent other_config JSONB via ParseV3Flags(). Resolver now sets all flags
on LoopConfig so the existing gate in loop_run.go reads from DB.
- V3Flags struct + ParseV3Flags() + ValidateV3Flags() in store layer
- v3MemoryEnabled/v3RetrievalEnabled added to Loop, LoopConfig, PipelineConfig
- Auto-inject gated on V3RetrievalEnabled (was unconditional)
- Structured perf logging for v3 pipeline runs
- v3 flag validation on both WS agent.update and HTTP PUT endpoints
* feat(v3): wire AutoInjector into pipeline for L0 memory auto-inject
Create AutoInjector at gateway startup from episodic store, pass through
ResolverDeps → LoopConfig → Loop. Pipeline adapter builds AutoInject
callback capturing agent/tenant context via closure.
ContextStage already gates on V3RetrievalEnabled + AutoInject != nil.
* feat(v3): add tool metadata map + capability-based deny rules
Registry gains per-tool ToolMetadata map with RegisterWithMetadata()
and GetMetadata() (infers defaults from tool name when not explicit).
PolicyEngine gains DenyCapability() for RBAC integration — tools with
denied capabilities filtered at step 8 after existing 7-step pipeline.
* fix(v3): add RWMutex to PolicyEngine capability deny fields
DenyCapability() and SetRegistry() now guarded by sync.RWMutex.
FilterTools reads snapshot under RLock. Prevents data race when
capability rules are modified concurrently with tool filtering.
* feat(v3): implement delegate tool for inter-agent task delegation
New `delegate` tool wraps existing agent_links infrastructure
(CanDelegate, DelegateTargets). Supports async (fire-and-forget)
and sync (block with timeout) modes. Permission checked via
AgentLinkStore. Events emitted: delegate.sent/completed/failed.
DelegateRunFunc injected by gateway to avoid circular dependency.
* feat(v3): complete 3 deferred implementations
1. OrchestrationMode resolution: ResolveOrchestrationMode() checks
team membership → delegate links → spawn (priority order).
2. PG EvolutionMetricsStore: RecordMetric, QueryMetrics, aggregate
tool/retrieval metrics, TTL cleanup. All queries tenant-scoped.
3. BridgePromptBuilder: implements PromptBuilder interface by
delegating to existing BuildSystemPrompt(). Appends v3 memory
L0 section when enabled. Ready for template engine swap later.
* fix(v3): address code review findings on commits 5-6
- C1: CanDelegate now tenant-scoped (fail-closed on missing tenant)
- H1: Sync delegate timeout capped at 600s
- H2: Async goroutine gets 10min deadline (prevents leaks)
- H3: JSONB casts use COALESCE/NULLIF guards (handles missing fields)
- M1/M2: Remove dead code (formatVaultSection, memoryL0ToStrings)
* fix(teams): stop auto-creating agent_links for team members
Teams use agent_team_members table directly — agent_links caused
context confusion between team dispatch and delegation systems.
- Remove autoCreateTeamLinks() calls from team create + member add
- Remove link cleanup from member remove
- Remove dead autoCreateTeamLinks() function
- Append DELETE to migration 000039: clear team-created agent_links
* fix(v3): tenant isolation for all agent_links queries + PromptBuilder Instructions
- DelegateTargets, GetLinkBetween, SearchDelegateTargets,
SearchDelegateTargetsByEmbedding, DeleteTeamLinksForAgent all now
scoped by tenant_id (fail-closed on missing tenant)
- BridgePromptBuilder now maps Instructions/InstructionContent to
AGENTS.md context file (was silently dropped)
* feat(v3): wire orchestration mode + evolution metrics into agent loop
- Orchestration mode: resolver resolves mode from team/links, tool filter
hides delegate/team_tasks based on mode, prompt builder injects delegation
targets section
- Evolution metrics: non-blocking goroutine records tool execution metrics
(name, success, duration) via EvolutionMetricsStore in both v2 loop and
v3 pipeline paths (sequential + parallel)
- Fix review findings: tenant ID propagated via store.WithTenantID in
background goroutine, 5s timeout prevents goroutine leak
* feat(v3): implement suggestion engine with pluggable analysis rules
- PG EvolutionSuggestionStore: CRUD for agent_evolution_suggestions table
- SuggestionEngine: aggregates 7-day metrics, runs rules, deduplicates
pending suggestions per type before creating new ones
- 3 initial rules: LowRetrievalUsage (usage_rate<0.2), ToolFailure
(success_rate<0.1), RepeatedTool (>100 calls/week → suggest skill)
- EventSuggestionCreated event type added to eventbus
- Cron wiring deferred to gateway startup integration pass
* feat(v3): implement auto-adapt guardrails with apply/rollback
- AdaptationGuardrails: max delta per cycle, min data points, locked
params, rollback-on-drop percentage
- ApplySuggestion: applies threshold suggestions to agent other_config
JSONB, stores baseline for rollback
- RollbackSuggestion: restores baseline values from suggestion params
- EvaluateApplied: compares post-apply metrics to baseline, auto-rolls
back when quality drops beyond threshold
- Scope limited to retrieval params only (never security settings)
* feat(v3): wire evolution stores + daily/weekly cron for suggestions
- Add EvolutionMetrics + EvolutionSuggestions to Stores struct + PG factory
- Wire EvolutionMetricsStore into ResolverDeps (cmd/gateway_managed.go)
- Add gateway_evolution_cron.go: daily suggestion analysis + weekly
evaluation/rollback for applied suggestions
- Cron runs as background goroutine with 5-min timeout per cycle
* fix(v3): address code review findings on evolution engine
- C1: persist baseline parameters before marking suggestion as applied
(was building map but never saving — rollback would always fail)
- H1: add tenant_id isolation to UpdateSuggestionStatus, GetSuggestion,
and new UpdateSuggestionParameters method
* test(v3): add unit tests for orchestration, suggestions, guardrails, prompt
- orchestration_mode_test: orchModeDenyTools (4 modes) + ResolveOrchestrationMode
(4 scenarios with mock stores)
- suggestion_rules_test: LowRetrievalUsage, ToolFailure, RepeatedTool with
threshold boundary tests (at/below/above min data points)
- evolution_guardrails_test: DefaultGuardrails values + CheckGuardrails
(insufficient data, locked params, zero-min fallback)
- prompt_builder_orchestration_test: BridgePromptBuilder orchestration section
presence/absence across 4 scenarios + target content verification
* test(v3): add integration tests for evolution metrics + suggestions
- Test helper: shared PG connection with sync.Once migration, per-test
tenant+agent seed with cleanup
- Evolution metrics: RecordMetric, AggregateToolMetrics (success rate),
Cleanup (TTL deletion)
- Evolution suggestions: full CRUD, UpdateSuggestionParameters (baseline
persist), tenant isolation (cross-tenant read blocked)
- Pipeline E2E: seed 25 failed tools + 55 low-usage retrievals, verify
SuggestionEngine creates suggestions, verify dedup on second run
- Fix: migration 039 de-duped (episodic_summaries already in 037)
- Fix: NULL reviewed_by scan via sql.NullString
* feat(v3): add HTTP API handlers for evolution, vault, episodic, orchestration, v3-flags
5 new handler files exposing v3 backend stores as REST endpoints:
- evolution_handlers.go: metrics query/aggregate + suggestions CRUD
- vault_handlers.go: cross-agent document listing + search + links
- episodic_handlers.go: episodic summaries list + hybrid search
- orchestration_handlers.go: computed mode + delegate targets (read-only)
- v3_flags_handlers.go: per-agent v3 feature flag get/toggle
Store fixes from code review:
- episodic FTS: use inline to_tsvector (no stored tsv column)
- episodic: conditional user_id filter in List + Search (admin view)
- episodic: add tenant_id to ExistsBySourceID + PruneExpired
- evolution: require tenant_id in context (no struct fallback)
- evolution: check RowsAffected on suggestion updates
- vault: optional agent_id filter in ListDocuments (cross-agent)
* feat(v3): add web UI for evolution tab, v3 settings, vault page, episodic memory
Agent Detail enhancements:
- V3 Settings section: pipeline/memory/retrieval flag toggles
- Orchestration section: mode badge + delegate targets display
- Evolution section: added metrics + suggestions v3 flag toggles
- Evolution tab: Recharts metrics charts + suggestion review table
with approve/reject/rollback actions + guardrails card
New pages:
- /vault: Knowledge Vault document registry with cross-agent listing,
hybrid search dialog, document detail with wikilinks
- Memory page: added Episodic Memory tab with summary cards,
expandable details, key topic badges, and hybrid search
Infrastructure:
- HttpClient: added patch() method
- Query keys: v3Flags, orchestration, evolution namespaces
- 4 new hooks: use-v3-flags, use-orchestration, use-evolution-metrics,
use-evolution-suggestions, use-vault, use-episodic
- i18n: vault namespace (en/vi/zh), agents + memory keys updated
- Reused formatRelativeTime from lib/format.ts (eliminated 3 duplicates)
* refactor(http): add bindJSON helper and migrate all decode call sites
Replace 36 json.NewDecoder(r.Body).Decode + error blocks with bindJSON
across 20 HTTP handler files. Standardizes decode error responses to
structured writeError format. Fixes unchecked decode in handleIndexAll.
* refactor(store): adopt sqlx for PG scan operations (Phase 1+2)
Add jmoiron/sqlx v1.4.0 with camelToSnake json tag mapper.
Migrate scan-heavy PG store methods to sqlx Get/Select:
- tracing.go: GetTrace, ListTraces, ListChildTraces, GetTraceSpans, GetCostSummary
- heartbeat.go: Get, ListDue, ListLogs
- providers.go: GetProvider, GetProviderByName, ListProviders, ListAllProviders
- mcp_servers.go: GetServer, GetServerByName, ListServers
- pairing.go: ListPending, ListPaired
- agents_export_queries.go: 5 export functions
- agents_export_team_queries.go: exportTeamMembers, ExportAgentLinks
All writes (INSERT/UPDATE/DELETE), execMapUpdate, and dynamic WHERE
builders remain raw SQL. Zero behavior change.
* refactor(store): adopt sqlx for SQLite scan operations (Phase 3)
Migrate SQLite store scan methods to sqlx Get/Select:
- providers.go: GetProvider, GetProviderByName, ListProviders, ListAllProviders
- tenants.go: GetTenant, GetTenantBySlug, ListTenants, GetTenantUser, ListUsers, ListUserTenants
- mcp_servers.go: GetServer, GetServerByName, ListServers
Create sqlx_scan_structs.go with sqliteTime-aware scan structs
(providerRow, tenantRow, tenantUserRow, mcpServerRow) to handle
SQLite TEXT timestamp parsing via StructScan.
* refactor(store): migrate PG bulk scan operations to sqlx (Phase 4)
Migrate scan-heavy methods across 6 PG store files:
- tenant_store.go: GetTenant, GetTenantBySlug, ListTenants, GetTenantUser,
ListUsers, ListUserTenants — removed 3 scan helpers
- teams.go: ListTeams, GetTeam, ListMembers, ListMembersByTenant
- teams_tasks_activity.go: ListComments, ListEvents, ListFollowUps
- pending_message_store.go: ListPending, ListByHistoryKey
- skills_grants.go: ListAgentGrants
- config_permissions.go: CheckPermission
~20 scan ops converted. Files with encryption post-processing,
pq.Array, pgvector, or dynamic SQL kept raw.
* refactor(store): extract shared CamelToSnake mapper, add UUIDArray usage note
- Move camelToSnake to internal/store/column_mapper.go (DRY)
- Both pg and sqlitestore packages now import shared CamelToSnake
- Add planned-use comment on UUIDArray type
* refactor(cli): migrate commands from config.json to HTTP API, add providers/setup/TUI
- Add unified HTTP client (gateway_http_client.go) with auth, error parsing, typed generics
- Rewrite agent list/add/delete to use gateway HTTP API instead of config.json
- Rewrite channels list to HTTP API, add channels add/delete subcommands
- Replace models command with full providers CRUD (list/add/update/delete/verify)
- Add setup wizard command (provider → agent → channel post-onboard flow)
- Add Bubble Tea TUI behind build tag (tui/!tui with noop fallback)
- Update onboard next-steps to mention goclaw setup
- Add build-tui Makefile target
- Fix URL path injection (url.PathEscape on all user-supplied path segments)
- Fix UTF-8 truncation in skills description display
* refactor(store): add explicit db struct tags, fix sqlx mapper for heartbeat scan error
Switch sqlx mapper from NewMapperFunc (which only applies CamelToSnake to
field names, not tag values) to NewMapperFunc("db", CamelToSnake) with
explicit db:"column_name" tags on all store structs.
Root cause: NewMapperFunc("json", fn) sets mapFunc but not tagMapFunc,
so camelCase json tags like "agentId" were used as-is instead of being
converted to "agent_id", causing "missing destination name" scan errors.
Fix: use db struct tags as the source of truth for column mapping.
Every DB entity field gets db:"column_name", nested JSON configs and
runtime-only structs get db:"-".
* test(store): add integration tests for 13 store interfaces (70 tests)
Cover Tier 1 (critical) + Tier 2 (security) stores with integration tests
running against pgvector pg18. Coverage from 2.4% to ~54%.
Stores tested: Session, Agent, Team/Task, Memory, KnowledgeGraph, Vault,
MCP Server, API Key, ConfigPermission, Contact.
Infrastructure: fixture builders (seedTeam, seedMCPServer, etc.),
mock EmbeddingProvider, multi-tenant helpers, expanded cleanup.
* fix(store): resolve NULL scan bugs in MCP server and task metadata
- mcp_servers: COALESCE nullable TEXT columns (display_name, command,
url, api_key, tool_prefix) to prevent sqlx scan failures
- mcp_servers_access: COALESCE nullable JSONB columns in ListAgentGrants
(tool_allow, tool_deny, config_overrides) to prevent silent row drops
- teams_tasks: default task metadata to '{}' instead of nil to satisfy
NOT NULL constraint on CreateTask
- sqlx_helpers: export InitSqlx for integration test setup
* feat(pipeline): fix v3 pipeline context injection, tracing, KG temporal filters
- Pipeline context: add InjectContext + LoadSessionHistory callbacks to
ContextStage, propagate enriched ctx via state.Ctx for iteration stages
- Pipeline tracing: wrap makeCallLLM with emitLLMSpanStart/End, wrap
makeExecuteToolCall/Raw with emitToolSpanStart/End
- Token counter: switch pipeline from FallbackCounter to TiktokenCounter
- KG temporal: add valid_until IS NULL filter to all entity/relation
queries (list, search, vector, FTS, traversal CTE, stats)
- Skills: add SkillEmbedder interface for future hybrid BM25+vector search
- Cache: remove unused tenantResolve dead code from PermissionCache
- Store: fix NULL scan bugs in tracing metadata and agent skill_nudge
- Test: add TestStoreKG_TemporalFilter integration test
- UI: add v3 version badge, evolution section, memory/traces improvements
* refactor(store): migrate KG store from raw sql.Rows to sqlx StructScan
Migrate 6 knowledge graph store files from manual rows.Scan() to
pkgSqlxDB.GetContext/SelectContext with intermediate scan row structs.
- Add entityRow, relationRow, traversalRow, dedupCandidateRow structs
with json.RawMessage for jsonb and time.Time for timestamptz columns
- Add toEntity()/toRelation() converters (UnixMilli + json.Unmarshal)
- Add sqlxTx() helper for wrapping *sql.Tx with sqlx mapper
- Fix ScanDuplicates passing time.Now().Unix() to TIMESTAMPTZ column
- Fix ListEntitiesTemporal missing tenant scope (scopeClause)
- Fix SupersedeEntity missing tenant scope and tenant_id on INSERT
- Fix DedupCandidate.CreatedAt using Unix() instead of UnixMilli()
- Update agents_export_queries.go to reuse new scan row structs
- Net -160 lines of manual scan boilerplate removed
* refactor(store): migrate memory, skills, agents, sessions, mcp, cron, vault stores to sqlx
Batch migration of 19 store files from raw rows.Scan() to
pkgSqlxDB.GetContext/SelectContext with intermediate scan row structs.
Groups migrated:
- Memory: memory_docs, memory_admin, memory_search, memory_embedding_cache
- Episodic: episodic_search, episodic_summaries
- Skills: skills, skills_admin, skills_embedding, skills_export_queries
- Agents: agents (backfill+shares), agents_context, agents_export_team_standalone
- Sessions: sessions_list (List, ListPaged, ListPagedRich)
- MCP: mcp_servers_access, mcp_export_queries
- Cron: cron_exec (GetRunLog)
- Vault: vault_documents (ListDocuments, ftsSearch, vectorSearch)
- Tenant: tenant_configs (ListDisabled, ListAll)
7 new scan row files created. Net -510 lines of manual scan boilerplate.
INSERT/UPDATE/DELETE and scalar COUNT queries kept as raw SQL.
* fix(store): fix 3 sqlx scan struct db tag issues found by audit
- Fix vault FTS alias mismatch: `AS rank` → `AS score` (critical: runtime scan error)
- Fix episodic key_topics type: json.RawMessage → pq.StringArray (TEXT[] column)
- Fix agentShareRow.CreatedAt: string → time.Time, wire to output struct
* feat(providers): implement Wave 2 provider resilience and intelligence
9-phase implementation covering:
- Request middleware chain with composable body transformers
- OpenAI prompt caching, service tier, and fast mode middlewares
- Error classification (9 categories) with two-tier failover
- Model registry with forward-compat resolvers (Anthropic + OpenAI)
- Embedding providers (OpenAI + Voyage) with 1536-dim validation
- Cooldown/probe system with per-provider:model state tracking
- Markdown-aware chunking shared across 5 channels
- Session recall via FTS + pgvector on episodic summaries
- Dreaming/promotion pipeline for long-term memory consolidation
Migrations: 000040 (episodic search index), 000041 (promoted_at column)
Schema version: 39 → 41
* feat(providers): wire model registry into gateway provider construction
Create InMemoryRegistry with Anthropic + OpenAI forward-compat resolvers
at gateway startup. Pass to all Anthropic and OpenAI providers created
from both config and DB sources.
* feat(consolidation): wire DomainEventBus and consolidation pipeline
Create DomainEventBus at gateway startup, thread through resolver →
LoopConfig → Loop → PipelineDeps. Emit session.completed event after
each run finalization. Register consolidation pipeline (episodic →
semantic → KG dedup → dreaming) with event bus subscriptions.
* fix(store): fix episodic key_topics pq.Array, ON CONFLICT, and migration 040 immutability
- episodic_summaries.go Create: json.Marshal(KeyTopics) → pq.Array (text[] column)
- episodic_search.go scanEpisodic/scanEpisodicRow: json.RawMessage → pq.StringArray
- episodic_summaries.go Create: ON CONFLICT add WHERE source_id IS NOT NULL for partial index
- migration 040: add immutable_array_to_string wrapper (array_to_string is STABLE in PG)
* test(store): add 17 integration tests for skills, cron, episodic, tenant configs
- Skills store: 6 tests (CRUD, grants, tenant isolation)
- Cron store: 4 tests (job CRUD, run log sqlx scan, pagination, tenant isolation)
- Episodic store: 4 tests (summary CRUD, list, FTS search, tenant isolation)
- Tenant configs: 3 tests (tool/skill disable, list, tenant isolation)
- Test helper: add cleanup for skills, cron, episodic tables
* fix(permissions): use cron-specific permission check for cron tool (#725)
* fix(security): harden exec path exemption matching (#721)
- Add absolute path exemption for dataDir/skills-store/ (fixes skill
scripts using absolute paths like /app/data/skills-store/ being denied)
- Strip surrounding quotes before prefix matching (LLMs often quote paths)
- Reject path traversal ("..") in exempt fields to prevent escape
- Switch from "any field exempt → skip" to per-field matching: only exempt
if ALL fields that match the deny pattern are individually exempt
- Closes pipe/comment bypass vectors where an exempt path in one argument
would exempt the entire command including non-exempt paths
Includes 27 test cases covering: legitimate access, quoted paths,
path traversal, unicode bypass, pipe/comment bypass, mixed args.
* fix(permissions): use cron-specific permission check for cron tool
Cron tool was hardcoded to check `file_writer` configType via
CheckFileWriterPermission(), ignoring the `cron` configType that
the UI actually saves when granting cron permissions. This caused
agents in group chats to be denied cron access even with correct
permission configured.
Add ConfigTypeCron constant and CheckCronPermission() that checks
`cron` configType first, falling back to `file_writer`.
---------
Co-authored-by: Viet Tran <viettranx@gmail.com>
* fix(chat): load message history on first conversation click (#730)
* fix(chat): load message history when selecting existing conversation from clean state
The skipNextHistoryRef was unconditionally set when sessionKey transitioned
from empty to non-empty. This prevented loadHistory() from running when
clicking an existing conversation from the initial /chat page. The skip
was only intended for the new-chat send flow where the optimistic message
is already displayed.
Guard the skip with expectingRunRef so it only activates when a message
send is in flight.
Closes #729
* docs: add UI diff evidence for PR #730
Before/after screenshots and HTML comparison report showing
first conversation click behavior fix.
* feat(whatsapp): port native WhatsApp channel with whatsmeow from dev
Cherry-pick
|
||
|
Kai (Tam Nhu) Tranandviettranx
|
9fd9e1f47b |
fix(providers): recover Codex text from responses completion events (#631)
* fix(providers): recover Codex text from responses completion events * fix(providers): honor Codex phase-aware response assembly * refactor(providers): extract Codex stream state to separate file Split codexMessageStreamState and related types/methods from codex.go (457 lines) into codex_stream_state.go to comply with 200-line file size guideline. Fix redundant nil check in registerMessageItem. Add clarifying comment on reconcileCompleted edge case. --------- Co-authored-by: viettranx <viettranx@gmail.com> |
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|
viettranx
|
a565ad8402 |
fix: preserve FinishReason on truncated tool calls + ParseError propagation (#605)
Three layered bugs caused OpenAI-compatible providers to silently produce empty tool call arguments when max_tokens was hit mid-JSON: 1. FinishReason override: all providers unconditionally overwrote "length" → "tool_calls" when tool calls existed, preventing the agent loop's truncation guard from firing. 2. Silent parse failure: JSON unmarshal errors were logged but args stayed as empty map with no signal to the caller. 3. No fallback for unreliable providers: some proxies don't emit finish_reason:"length" at all, leaving no detection path. Fixes: - Add ParseError field to ToolCall struct for explicit error signal - Guard FinishReason override with `!= "length"` in OpenAI, Codex - Set ParseError in all provider parsers (OpenAI, Anthropic, Codex) - Add hasParseErrors() fallback guard in agent loop for EC-5 scenario - Cap consecutive truncation retries (maxTruncationRetries=3) to prevent burning all iterations when max_tokens is persistently low Closes #605 |
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|
Kai (Tam Nhu) Tran
|
30708ae79d |
feat(providers): support Codex OAuth pools with inherited routing defaults
* feat(auth): support named chatgpt oauth providers - add provider-scoped ChatGPT OAuth routes and CLI support - persist refresh tokens per provider and reject provider-type collisions - wire provider OAuth setup flows in the dashboard and setup UI Refs #448 * feat(agent): add chatgpt oauth account routing - add agent other_config routing for manual and round-robin selection - reuse routed provider resolution across resolver and pending loaders - add router, parser, and agent advanced dialog coverage for multi-account use Refs #448 * docs(api): describe chatgpt oauth routing - document named-provider ChatGPT OAuth auth routes - describe agent-side account routing and round-robin behavior - update OpenAPI agent config schema and provider type enum Refs #448 * fix(store): add missing agent key context helpers * feat(ui): clarify chatgpt oauth account setup and routing * docs(providers): align chatgpt oauth alias examples * feat(agent): add codex pool activity dashboard * fix(providers): harden codex oauth alias setup * feat(codex-pool): improve routing dashboard UX - redesign the Codex/OpenAI pool page around saved-pool checkpoints and live evidence - add clearer selection, attention, and recent-proof states for pool members - make the lower panels fill the remaining desktop viewport while staying responsive * fix(store): resolve context helper merge duplication * feat(oauth): add codex pool quota and observation APIs - add quota inspection and observation endpoints for ChatGPT Subscription (OAuth) providers - teach codex routing to surface pool activity, observation metadata, and quota-aware readiness - extend tests and HTTP docs/OpenAPI for the new pool monitoring flows * feat(web): add codex pool quota monitor and controls - add provider quota fetching, readiness badges, and live routing evidence on the account pool page - redesign pool setup and activity panels for multi-account management with localized copy updates - keep the live monitor internally scrollable and compact the account cards for better viewport fit * fix(web): clarify pool routing labels - rename the recent request badge from Direct to Selected - restore compact quota bars in the live pool cards * feat(codex-pool): add runtime health dashboard - derive per-provider success and failure health from routed Codex traces - surface routing, quota, and recent request evidence in the pool UI - align provider alias guidance and owner access with the dashboard role model * docs(auth): document tenant scoping and key roles * fix(auth): harden tenant and codex pool access control * fix(providers): align codex pool runtime defaults * feat(ui): tighten codex pool responsive layout * feat(chatgpt-oauth): refine codex pool management UX * feat(chatgpt-oauth): surface quota bars on provider pages - add compact quota bars to Codex provider rows and provider detail - fetch quota only for ready visible provider rows and ready detail aliases - fix managed-member detail visibility and tighten provider locale copy |
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|
c6bab9a059 |
fix(codex,memory): sanitize tool call IDs, fix memory delete, add GPT-5.4 (#313)
* fix(codex,memory): sanitize tool call IDs, fix memory delete, add GPT-5.4 - codex_build: sanitize colons in tool call IDs before sending to Responses API (OpenAI rejects non-alphanumeric chars except _ and -) - memory_docs: check RowsAffected on delete — return error instead of silent 200 when no document matched - memory UI: pass document's agent_id to delete call so deletion works from the "all agents" view (previously sent undefined as agent ID) - codex models: add GPT-5.4 and GPT-5.4 Mini, update default model * fix(codex): update default model assertion in test to gpt-5.4 * fix(codex): regex sanitize all invalid chars in tool call IDs, restore GPT-5.1 models - toFcID: replace all non-alphanumeric/underscore/dash chars (not just colons) to prevent future Responses API rejections - Restore GPT-5.1 Codex Max and Codex Mini in model dropdown to avoid breaking existing user configurations --------- Co-authored-by: Luvu182 <208665161+Luvu182@users.noreply.github.com> Co-authored-by: viettranx <viettranx@gmail.com> |
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Luan VuandLuvu182
|
73897b9481 |
refactor: replace magic numbers and hardcoded strings with named constants (#269)
Extract scattered magic numbers and hardcoded agent type strings into centralized named constants to improve maintainability and prevent silent inconsistencies when defaults need to change. Changes: - Add config/defaults.go: DefaultContextWindow, DefaultMaxTokens, DefaultMaxMessageChars, DefaultMaxIterations, DefaultTemperature, DefaultHistoryShare - Add providers/defaults.go: DefaultHTTPTimeout, SSE/Stdio scanner buffer size constants - Replace 6 hardcoded 200000 (context window) across agent/, http/, cmd/ with config.DefaultContextWindow - Replace 4 hardcoded 32000/32_000 (max message chars) with constant - Replace 3 hardcoded 20 (max iterations) with constant - Replace 2 hardcoded 0.75 (history share) with constant - Replace 3 hardcoded 300*time.Second (HTTP timeout) with constant - Replace 5 hardcoded scanner buffer sizes with named constants - Replace 10 hardcoded "predefined" string comparisons with store.AgentTypePredefined constant (already defined but unused) - Use config.DefaultTemperature instead of hardcoded 0.7 in agent loop Co-authored-by: Luvu182 <208665161+Luvu182@users.noreply.github.com> |
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viettranx
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bdb60de7ae |
chore: upgrade Go 1.25 → 1.26 and apply go fix modernizations
- Update go.mod and Dockerfile to Go 1.26 - Apply `go fix ./...` stdlib modernizations across 170+ files - Add `go fix` to post-implementation checklist in CLAUDE.md - Fix go fix misapplied rewrite in loop_history.go |
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Luan Vu
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7d744eb4f2 |
refactor(oauth): DB-backed token storage, split codex.go, remove file-based artifacts (#65)
Replace file-based OAuth token storage with DB-backed storage using llm_providers (access token) + config_secrets (refresh token). - Store: Add Settings JSONB field, chatgpt_oauth provider type - OAuth: DBTokenSource backed by provider + secrets stores - HTTP: oauth.go uses DB stores + registers provider in-memory - Providers: chatgpt_oauth support in registerInMemory/registerProvidersFromDB - Config: Remove HasOAuthToken, revert envFallback→envStr - CLI: auth commands call HTTP API on running gateway - Split codex.go (478→189 LOC) into codex.go + codex_build.go + codex_types.go - Frontend: Remove fake OAUTH_PROVIDER_ID, use real DB-backed providers - Tests: Rewrite with mock stores, fix SSE mock servers |