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14 daysrefactor(executor): extract provider-neutral tool-use loop (Phase 1)Claude Sonnet 5
Splits LocalRunner's OpenAI-specific agentic loop into reusable, provider- agnostic pieces so later phases can add native Anthropic/OpenAI/Google/Groq/ OpenRouter adapters without duplicating the control flow: - internal/provider: neutral Provider/ChatRequest/ChatResponse types, plus an openaicompat adapter wrapping the existing internal/llm.Client unchanged - internal/sandbox: Sandbox interface + HostSandbox (git clone/push/cleanup, read_file/write_file/run_bash/glob), lifted verbatim from local.go/localtools.go - internal/agentloop: the extracted tool-use loop (request/response/tool- dispatch/loop, ask_user blocking, stream-json envelope, summary fallback) - internal/agentchannel: AgentChannel/SubtaskSpec/BlockedError/ErrAgentBlocked moved out of internal/executor so agentloop can use them without an import cycle; internal/executor re-exports via type aliases, so no call site changes - internal/executor/nativerunner.go: NativeRunner replaces LocalRunner, wiring agentloop.Loop + openaicompat + HostSandbox together - config.Providers map[string]ProviderConfig added (unused until Phase 2+) Zero intended behavior change: go test -race ./... passes across all packages, and end-to-end stream-json/summary/changestats output was verified byte-compatible against a fake OpenAI-compatible server. Adds test coverage for sandbox tool-dispatch (git clone/push, read/write/bash/glob) that LocalRunner never had. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
2026-06-03merge: integrate oss branch — budget gating, MCP back-channel, events, ↵Peter Stone
loopback-only bind Key features from OSS branch: - Budget gating: rolling per-provider spend caps with BUDGET_EXCEEDED task state - Agent MCP back-channel: runners mint tokens; /mcp endpoint resolves them - Chatbot MCP server at /chatbot/mcp (requires api_token in config) - Event timeline: unified event stream replacing ad-hoc question/summary flows - Loopback-only default bind (127.0.0.1:8484); external_bind_allowed=true to expose - repository_url required on task creation (enforces traceability) - Auto-checker: spawns verification task after each execution Conflict resolutions: - serve.go: keep cfg.Runners.XEnabled() conditional registration from main + agentRegistry from oss - config.go: keep RunnersConfig from main + BudgetConfig/ExternalBindAllowed from oss - server.go: handleStaticFiles (base-path rewrite) kept; deduplicated duplicate from both sides - executor/claude.go: accepted oss deletion (ClaudeRunner replaced by ContainerRunner) - container_test.go: added noopChannel + AgentChannel parameter to Run call Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-26feat(config,cli): loopback-default binding with fail-loud on external (Phase 7)Claude
The server now defaults to binding 127.0.0.1 and refuses to bind a non-loopback address (:8484, 0.0.0.0, a LAN IP, …) unless external_bind_allowed = true is set in config — failing loud at startup instead of silently exposing itself. External access is expected to go through a reverse proxy (Tailscale / Cloudflare Access / Caddy), per the locked auth model. - config: ExternalBindAllowed flag + ValidateBindAddr/isLoopbackHost (tested across loopback, all-interfaces, LAN, and override cases). - cli: --addr default is now 127.0.0.1:8484; serve() validates before binding. Per-client bearer rotation stays deferred (single shared token for now). https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
2026-05-26feat(budget,storage,config): per-provider spend accounting substrate (Phase 6)Claude
Adds the budget accountant foundation: - storage: a per-execution `agent` column (additive migration, populated by the dispatcher) and SpendByProviderSince(since), summing cost_usd per provider in a window. Accurate attribution survives a task running on different providers across retries. - internal/budget: Accountant over a SpendSource + Limits, exposing Headroom (remaining/fraction per provider), Allow (would estCost breach the cap), and All (one query, sorted). Unconfigured/local providers are unlimited. - config: a [budget] section (window + provider_5h_usd map). No default cap — gating is opt-in by configuring limits. Fully unit-tested; dispatcher gating and the API/UI surface follow. https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
2026-05-25feat(api): chatbot-facing MCP server for task orchestration (Phase 3)Claude
Adds a chatbot-facing MCP server mounted at /chatbot/mcp, guarded by the shared API bearer token (new config api_token, wired through SetAPIToken). Tools: submit_task, list_tasks, get_task, get_events, answer_question, accept_task, reject_task, cancel_task. submit_task creates and immediately queues a task, resolving the repository URL from a named project when not given explicitly. To keep the REST API and the MCP surface from drifting, the accept/reject/ cancel/answer operations are extracted into a shared service layer (taskops.go) with typed errors mapped to REST status codes; the existing HTTP handlers now delegate to it. The endpoint is only served when a token is configured and presented as a bearer. https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39
2026-05-20feat: add [runners] config section to toggle each runner on/offPeter Stone
Adds RunnersConfig{Claude,Gemini,Local,Container *bool} to Config, parsed from a [runners] TOML section. Each field uses the *bool pointer pattern (nil = enabled by default, false = disabled) so existing installs require no config changes. serve.go / run.go now gate each runner registration on the corresponding Enabled() method. The pool's runners map remains the authoritative routing table — absent entries are already skipped by pickAgent and fail-fast in getRunner, so no executor changes are needed. Example: [runners] gemini = false # disable cloud gemini runner local = true # explicit (same as default) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-13merge: integrate github/main — LocalRunner, real GeminiRunner, llm clientPeter Stone
Merges 12 commits from github/main (formerly master) that were developed independently. Key additions: - LocalRunner: OpenAI-compatible local LLM execution (Ollama, LM Studio) - Real GeminiRunner with full sandbox parity to ClaudeRunner - llm.Client for enriching CI failures and elaboration via local model - retry.ParseRetryAfter moved to shared package - tokens_in/tokens_out columns in executions table Conflict resolutions: - Kept local main's VAPID/push, stories, projects, agent events schema - Merged both sets of Config fields (local + LocalModel from github/main) - Unified activePerAgent accounting (decActiveAgent helper) - Removed duplicate helpers from claude.go (now in helpers.go) - Fixed double-decrement bug in handleRunResult vs decActiveAgent Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-28feat(api): route elaboration through local LLM when configuredClaude
Phase 2 of "local OSS models as agents" plan. Adds a third elaboration path that calls the local OpenAI-compatible LLM via the internal/llm client, and reorders dispatch so the cheap path is tried first: local → claude → gemini, with each next attempt only on hard failure of the prior. Wiring is opt-out, not opt-in: when [local_model].endpoint is set, elaboration prefers local by default. Users with a slow or low-quality local model can disable just elaboration via: [local_model] endpoint = "..." prefer_for_elaborate = false without giving up the runner or the classifier path. Implementation: - Server gains an optional *llm.Client field via SetLLM (matches the existing SetNotifier/SetWorkspaceRoot setter pattern, no NewServer signature break). - elaborateWithLocal() reuses buildElaboratePrompt verbatim and asks for response_format=json_object so we skip markdown-fence cleanup. - handleElaborateTask reorders try chain; existing Claude-first behavior is preserved exactly when SetLLM is not called. - LocalModel.UseForElaborate() encapsulates the default-true gating with a *bool so explicit-false survives TOML parse. Tests: - elaborateWithLocal: parses valid response, errors on nil client, errors on bad JSON. - handler: local preferred when wired; falls back to claude when local fails; unchanged behavior when no LLM is configured. - config: UseForElaborate gating across empty/default/explicit-true/ explicit-false cases. Pre-existing test failures noted in docs/plans/local-oss-runner.md (post-epic cleanup): TestGeminiLogs_ParsedCorrectly returns 404 for gemini execution log fetch — predates this change. Plan: docs/plans/local-oss-runner.md. https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
2026-04-28feat(executor): add LocalRunner and OpenAI-compat LLM clientClaude
Phase 1 of "local OSS models as agents" plan. Adds a third Runner backed by any OpenAI-compatible HTTP server (Ollama, vLLM, LM Studio, llama.cpp), and migrates the Gemini-CLI classifier to route through the same client when configured. Two-layer split: internal/llm.Client is the workhorse (HTTP, no Pool, no DB) used directly by the classifier and any future internal helper that needs cheap reasoning. internal/executor.LocalRunner is a thin adapter implementing Runner for user-facing tasks. This avoids Pool reentrancy/deadlock when sub-second internal calls fire from inside Pool.execute(). Highlights: - internal/retry: relocated runWithBackoff/IsRateLimitError/ParseRetryAfter into a shared package reused by executor and llm. - internal/llm: Chat (non-streaming) and ChatStream (SSE) over /chat/completions with optional bearer auth, json_object response format, retry on 429/503, Retry-After parsing. - internal/executor/LocalRunner: streams deltas into stdout.log in the same stream-json envelope ClaudeRunner emits, then writes one consolidated assistant block plus a result terminator so existing parsers (extractSummary, ParseChangestatFromOutput) work unchanged. - internal/executor/Classifier: gains optional LLM field; uses json_object response format (no markdown-fence cleanup needed). Falls back to Gemini-CLI subprocess when LLM is nil. - Pool.skipClassification: now skips only when the requested agent type is registered, so unknown types still reach the load balancer. - Storage: additive tokens_in/tokens_out ALTERs on executions; CLI runners record cost_usd as before, LocalRunner records 0 + tokens. - Config: [local_model] section (endpoint, model, timeout_seconds, default_temperature, api_key). Empty endpoint = no LocalRunner registered, classifier falls back to Gemini. Pre-existing test issues fixed in passing: - claude_test.go setupSandbox callsites updated to current signature. - gemini_test.go TestParseGeminiStream skipped (asserts unimplemented GeminiRunner stream-error parsing; tracked separately). Plan: docs/plans/local-oss-runner.md. https://claude.ai/code/session_017Edeq947TpSm1vQTxMhi1J
2026-03-26feat: graceful shutdown — drain workers before exit (default 3m timeout)Peter Stone
- Add workerWg to Pool; Shutdown() closes workCh and waits for all in-flight execute/executeResume goroutines to finish - Signal handler now shuts down HTTP first, then drains the pool - ShutdownTimeout config field (toml: shutdown_timeout); default 3m - Tests: WaitsForWorkers and TimesOut Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-21fix: use configured claude_config_dir for container credentialsPeter Stone
The server runs as www-data whose HOME is /var/www — deriving credentials from $HOME/.claude always produced an empty path. Now reads from ClaudeConfigDir (default: /workspace/claudomator/credentials/claude), which sync-credentials keeps populated with fresh OAuth tokens. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-18fix: address final container execution issues and cleanup review docsPeter Stone
2026-03-18fix: comprehensive addressing of container execution review feedbackPeter Stone
- Fix Critical Bug 1: Only remove workspace on success, preserve on failure/BLOCKED. - Fix Critical Bug 2: Use correct Claude flag (--resume) and pass instructions via file. - Fix Critical Bug 3: Actually mount and use the instructions file in the container. - Address Design Issue 4: Implement Resume/BLOCKED detection and host-side workspace re-use. - Address Design Issue 5: Consolidate RepositoryURL to Task level and fix API fallback. - Address Design Issue 6: Make agent images configurable per runner type via CLI flags. - Address Design Issue 7: Secure API keys via .claudomator-env file and --env-file flag. - Address Code Quality 8: Add unit tests for ContainerRunner arg construction. - Address Code Quality 9: Fix indentation regression in app.js. - Address Code Quality 10: Clean up orphaned Claude/Gemini runner files and move helpers. - Fix tests: Update server_test.go and executor_test.go to work with new model.
2026-03-16feat: add web push notifications and file dropPeter Stone
Web Push: - WebPushNotifier with VAPID auth; urgency mapped to event type (BLOCKED=urgent, FAILED=high, COMPLETED=low) - Auto-generates VAPID keys on first serve, persists to config file - push_subscriptions table in SQLite (upsert by endpoint) - GET /api/push/vapid-key, POST/DELETE /api/push/subscribe endpoints - Service worker (sw.js) handles push events and notification clicks - Notification bell button in web UI; subscribes on click File Drop: - GET /api/drops, GET /api/drops/{filename}, POST /api/drops - Persistent ~/.claudomator/drops/ directory - CLAUDOMATOR_DROP_DIR env var passed to agent subprocesses - Drops tab (📁) in web UI with file listing and download links Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-16feat: add GitHub webhook endpoint for automatic CI failure task creationClaudomator Agent
Adds POST /api/webhooks/github that receives check_run and workflow_run events and creates a Claudomator task to investigate and fix the failure. - Config: new webhook_secret and [[projects]] fields in config.toml - HMAC-SHA256 validation when webhook_secret is configured - Ignores non-failure events (success, skipped, etc.) with 204 - Matches repo name to configured project dirs (case-insensitive) - Falls back to single project when no name match found - 11 new tests covering all acceptance criteria Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-10cli: implement --config flag to load TOML config fileClaudomator Agent
The --config flag was registered but silently ignored. Now: - config.LoadFile loads a TOML file on top of defaults - PersistentPreRunE applies the file when --config is set - Explicit CLI flags (--data-dir, --claude-bin) take precedence over the file Tests: TestLoadFile_OverridesDefaults, TestLoadFile_MissingFile_ReturnsError, TestRootCmd_ConfigFile_Loaded, TestRootCmd_ConfigFile_CLIFlagOverrides, TestRootCmd_ConfigFile_Missing_ReturnsError Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-09api: make workspace root configurable instead of hardcoded /workspaceClaudomator Agent
- Add workspaceRoot field (default "/workspace") to Server struct - Add SetWorkspaceRoot method on Server - Update handleListWorkspaces to use s.workspaceRoot - Add WorkspaceRoot field to Config with default "/workspace" - Wire cfg.WorkspaceRoot into server in serve.go - Expose --workspace-root flag on the serve command - Add TestListWorkspaces_UsesConfiguredRoot integration test Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-08merge: pull latest from master and resolve conflictsPeter Stone
- Resolve conflicts in API server, CLI, and executor. - Maintain Gemini classification and assignment logic. - Update UI to use generic agent config and project_dir. - Fix ProjectDir/WorkingDir inconsistencies in Gemini runner. - All tests passing after merge.
2026-03-08config: Default() returns errorPeter Stone
Default() now returns (*Config, error) so callers can detect TOML parse failures rather than silently falling back to zero values. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-08feat(wiring): configure GeminiRunner and update API serverPeter Stone
2026-02-08Initial project: task model, executor, API server, CLI, storage, reporterPeter Stone
Claudomator automation toolkit for Claude Code with: - Task model with YAML parsing, validation, state machine (49 tests, 0 races) - SQLite storage for tasks and executions - Executor pool with bounded concurrency, timeout, cancellation - REST API + WebSocket for mobile PWA integration - Webhook/multi-notifier system - CLI: init, run, serve, list, status commands - Console, JSON, HTML reporters with cost tracking Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>