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272d31797e3efa665f45957401f4aa2db86151e3
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Commits
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272d31797e |
chore: remove dead code (#648) (#703)
* chore: remove dead code (LlmEvaluator, chunk_by_paragraphs, bundled channel installer, Reasoning::safety) Delete unused code flagged in #648: - evaluation/success.rs: delete LlmEvaluator struct/impl, remove #[allow(dead_code)] from RuleBasedEvaluator methods - workspace/chunker.rs: delete chunk_by_paragraphs() and its tests (zero production callers) - extensions/manager.rs: delete install_bundled_channel_from_artifacts() (hot-activation never shipped) - llm/reasoning.rs: remove unused safety field from Reasoning struct; cascade removal through ContextCompactor, HeartbeatRunner, LlmSoftwareBuilder, and all callers Closes #648 [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: move RuleBasedEvaluator into test module to fix dead_code warning RuleBasedEvaluator has no production callers -- it was only used in tests of itself. Moving it into #[cfg(test)] eliminates the clippy dead_code error that broke CI. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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ReidandGitHub
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a20e19ab16 |
fix: sanitize HTML error bodies from MCP servers to prevent web UI white screen (#263) (#656)
* fix: sanitize HTML error bodies from MCP servers to prevent web UI white screen (#263) * style: fix cargo fmt formatting in sanitize_error_body tests |
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11c5e25422 |
feat(setup): Anthropic OAuth onboarding with setup-token support (#384)
* feat(setup): add Anthropic OAuth and Codex OAuth onboarding flows Add OAuth token authentication as an alternative to API keys during onboarding for both Anthropic (via `claude login`) and OpenAI/Codex (via `~/.codex/auth.json`). Key changes: - New `AnthropicOAuthProvider` using `Authorization: Bearer` header (rig-core hardcodes `x-api-key` which rejects OAuth tokens) - Wizard auth method selector: "Direct API Key" vs "OAuth Token" for both Anthropic and OpenAI providers - Codex token extraction from `$CODEX_HOME/auth.json` / `~/.codex/auth.json` - Claude Code sandbox sub-step in Docker setup (checks for credentials) - Secret injection mappings for `ANTHROPIC_OAUTH_TOKEN` and `CODEX_OAUTH_TOKEN` - `CODEX_OAUTH_TOKEN` falls back to `OPENAI_API_KEY` (same Bearer auth) Supersedes #143 which had a broken auth flow (OAuth token sent as x-api-key → 401). Credit to @bigguybobby for the original approach. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: persist OAuth tokens in bootstrap .env and re-extract at startup OAuth tokens stored only in the secrets DB were invisible to Config::from_env() which runs before the DB connects (chicken-and-egg). Two fixes: 1. write_bootstrap_env() now persists ANTHROPIC_OAUTH_TOKEN and CODEX_OAUTH_TOKEN to ~/.ironclaw/.env (same pattern as NEARAI_API_KEY) 2. main.rs re-extracts a fresh token from the OS credential store (macOS Keychain / ~/.claude/.credentials.json) before config resolution, handling token expiry (8-12h) gracefully Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: persist all LLM credentials in bootstrap .env, not just NEAR AI All providers had the same chicken-and-egg issue: API keys stored in the secrets DB were invisible to Config::from_env() which runs before DB connects. Only NEARAI_API_KEY was written to bootstrap .env. Now write_bootstrap_env() persists all credential env vars: NEARAI_API_KEY, ANTHROPIC_API_KEY, ANTHROPIC_OAUTH_TOKEN, OPENAI_API_KEY, CODEX_OAUTH_TOKEN, LLM_API_KEY, TINFOIL_API_KEY. Also: setup_api_key_provider() now sets the env var during the wizard session so write_bootstrap_env() can pick it up. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address security review findings for OAuth onboarding - Extract "oauth-placeholder" to named OAUTH_PLACEHOLDER constant shared across config and wizard to prevent silent drift - Document plaintext credential tradeoff in write_bootstrap_env (API keys stored with 0o600 permissions, recommend full-disk encryption) - Add blocking "Press Enter" wait in Anthropic OAuth retry flow so user has time to run `claude login` in another terminal - Add escape hatch from manual OAuth paste back to API key flow (empty input switches to setup_api_key_provider) - Fix Retry-After header: parse u64 seconds into Duration before passing to LlmError::RateLimited - Make config::llm module pub(crate) for constant visibility - Use .bearer_auth() instead of manual format!("Bearer {}") - Remove response body from debug log (may contain PII) - Update Anthropic API version to 2024-10-22 Co-Authored-By: Claude Opus 4.6 <[email protected]> * security: remove plaintext credentials from bootstrap .env Credentials (API keys, OAuth tokens) were being written in plaintext to ~/.ironclaw/.env to work around a chicken-and-egg problem: Config::from_env() runs before the encrypted secrets DB is connected. Instead of storing secrets on disk, LlmConfig::resolve() now defers gracefully when credentials are missing — it returns None for the provider config instead of hard-erroring with MissingRequired. After the DB connects, AppBuilder::build_all() loads secrets from encrypted storage via inject_llm_keys_from_secrets() and re-resolves the config. For Anthropic OAuth tokens (which expire in 8-12h), the secret injection step also tries the OS credential store (macOS Keychain / Linux credentials.json) for a fresh token, overriding the potentially stale copy in the DB. Changes: - LlmConfig::resolve(): OpenAI, Anthropic, OpenAI-compatible, and Tinfoil all return None instead of MissingRequired when credentials are absent - write_bootstrap_env(): no longer writes any credential env vars - inject_llm_keys_from_secrets(): refreshes Anthropic OAuth from OS credential store before overlay is finalized - main.rs: removed OAuth re-extraction hack (no longer needed) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: load OS credential store tokens even without secrets DB The OAuth token extraction from macOS Keychain / Linux credentials files was only running inside inject_llm_keys_from_secrets(), which requires the encrypted secrets DB. When no master key is configured, init_secrets() returned early — skipping both DB secret loading AND OS credential store extraction, leaving the Anthropic OAuth token unavailable. Split into two paths: - inject_llm_keys_from_secrets(): loads from encrypted DB + OS stores - inject_os_credentials(): loads from OS stores only (no DB needed) init_secrets() now calls inject_os_credentials() and re-resolves config even in the no-master-key early-return path, so `claude login` tokens are always available regardless of secrets DB state. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add anthropic-beta header required for OAuth authentication Anthropic's api.anthropic.com requires the `anthropic-beta: oauth-2025-04-20` header to accept OAuth Bearer tokens. Without it, the API returns 401 "OAuth authentication is currently not supported." Also reverts API version to 2023-06-01 since the OAuth beta flag does not support the 2024-10-22 version (returns 400 "not a valid version"). This was the same bug that caused PR #143's 401 errors — the beta header was missing entirely. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Anthropic and OpenAI model resolution respects selected_model The Anthropic and OpenAI config resolution ignored settings.selected_model entirely, only checking the provider-specific env var (ANTHROPIC_MODEL, OPENAI_MODEL) and falling back to a hardcoded default. This meant the model chosen during onboarding wizard was silently overridden. Now follows the same pattern as NearAI and OpenAI-compatible: env var > settings.selected_model > hardcoded default. Also deduplicated the Anthropic config construction (two identical branches for API key vs OAuth now share model/base_url resolution). Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add provider resolution tests for all LLM backends Covers deferred resolution (no credentials → None instead of error), credential presence, model selection fallback chain, and OAuth token routing for Anthropic, OpenAI, Tinfoil, Ollama, and NearAI. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: handle nested tokens.access_token format in Codex auth.json Codex CLI stores OAuth tokens in a nested format under tokens.access_token (ChatGPT OAuth flow), not at the top level. Also adds ENV_MUTEX to Codex token tests for thread safety. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: remove Codex OAuth onboarding (incompatible with OpenAI API) Codex CLI OAuth tokens use a different endpoint (chatgpt.com/backend-api/codex) and the Responses API wire format, not api.openai.com with Chat Completions. The tokens lack the model.request scope needed for the platform API, so they can't be used as drop-in OPENAI_API_KEY replacements. Removes: extract_codex_oauth_token(), wizard Codex OAuth flow, CODEX_OAUTH_TOKEN env var support, and related tests. OpenAI onboarding now uses direct API key only. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting for CI (cargo fmt) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address Gemini review feedback - Use ? operator for ANTHROPIC_MODEL/BASE_URL env resolution instead of .ok().flatten() to propagate ConfigErrors consistently - Skip Tool messages without tool_call_id with a warning instead of using unwrap_or_default() which would send empty string to Anthropic - Extract credential check into closure to reduce duplication in Claude Code sandbox setup Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(review): address PR review feedback for OAuth onboarding - Gate ANTHROPIC_OAUTH_TOKEN resolution to Anthropic provider only (was needlessly checked for all registry providers) - Add 3 regression tests for OAuth config resolution: - oauth_token sets placeholder api_key - real api_key takes priority over oauth - non-Anthropic providers don't pick up oauth_token - Validate OAuth token prefix (sk-ant-oat) in wizard to catch accidentally pasted API keys - Improve error body read handling in AnthropicOAuthProvider (was silently swallowing read errors with unwrap_or_default) - Remove extra blank line in write_bootstrap_env - Remove stale blank line in RegistryProviderConfig doc comment [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #384 review comments Blocker: - Replace OnceLock<HashMap> with LazyLock<Mutex<HashMap>> for INJECTED_VARS so both inject_os_credentials() and inject_llm_keys_from_secrets() merge data instead of the second caller silently dropping its entries. High: - Add 401 retry with OS credential store re-extraction in AnthropicOAuthProvider, recovering from expired OAuth tokens (~8-12h) without manual intervention. - Fix comment in app.rs: ~/.codex/auth.json → ~/.claude/.credentials.json. Medium: - Remove unsafe { std::env::set_var } from wizard; use thread-safe inject_single_var() overlay instead (safe on multi-threaded Tokio). - Add post-init validation in AppBuilder: fail early with clear error when LLM_BACKEND is set but no credentials were resolved after secret injection. - Add sk-ant-oat prefix validation in parse_oauth_access_token(). - Only route to AnthropicOAuthProvider when api_key is missing or equals OAUTH_PLACEHOLDER (API key takes priority over OAuth token). - Teach fetch_anthropic_models() to use Bearer auth when only OAuth token is available (model listing no longer fails for OAuth-only users). Low: - Use optional_env() in wizard credential checks to read from injected overlay, not just raw env vars. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: [email protected] <[email protected]> |
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ArtemandGitHub
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12ba79ffc3 |
feat(llm): add Google Gemini, AWS Bedrock, io.net, Mistral, Yandex, and Cloudflare WS AI providers (#676)
* feat(llm): add Google Gemini and AWS Bedrock providers * feat(llm): add io.net, Mistral, Yandex, and Cloudflare WS AI providers |
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9f71bd0d44 |
feat: unified thread model for web gateway (#607)
* feat: unified thread model for web gateway Every piece of activity (user chat, routine run, heartbeat alert, external channel message) now lives in its own thread, properly isolated, with meaningful titles and visual distinction. Key changes: - Add `channel` field to ConversationSummary and ThreadInfo so the gateway can distinguish thread origins (gateway, telegram, routine, heartbeat). - Add `list_conversations_all_channels` to Database trait (both postgres and libsql) so chat_threads_handler shows cross-channel threads. - Routine runs get a persistent conversation per routine via `get_or_create_routine_conversation`; notifications carry thread_id. - Heartbeat gets a persistent conversation via `get_or_create_heartbeat_conversation`; HeartbeatRunner accepts an optional Database store and binds notifications to the thread. - Fix broadcast() in web gateway to propagate response.thread_id instead of hardcoding empty string. - Fix isCurrentThread(null) returning true (the core notification leak bug) — now returns false so events without a thread_id don't leak into the active thread. - Rewrite frontend thread sidebar: meaningful titles with channel-specific fallbacks, relative timestamps instead of turn counts, channel badges for non-gateway threads, unread notification dots, read-only indicator for external channel threads. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review — TOCTOU races, stale comment, debounce, broadcast warning - Fix TOCTOU race in get_or_create_routine_conversation (postgres): use INSERT ON CONFLICT on new uq_conv_routine unique index + SELECT-back. - Fix TOCTOU race in get_or_create_heartbeat_conversation (postgres): use INSERT ON CONFLICT on new uq_conv_heartbeat unique index + SELECT-back. - Fix TOCTOU race in get_or_create_routine_conversation (libsql): use BEGIN IMMEDIATE transaction to serialize concurrent writers. - Fix TOCTOU race in get_or_create_heartbeat_conversation (libsql): use BEGIN IMMEDIATE transaction to serialize concurrent writers. - Add V11 migration with partial unique indexes for postgres. - Add matching unique indexes to libsql schema. - Update stale comment on isCurrentThread (said "always shown" but logic now returns false for missing thread_id). - Debounce loadThreads() on off-thread SSE events to prevent request storms. - Log warning in broadcast() when thread_id is None (clients will drop it). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: sort in-memory thread fallback by updated_at descending The in-memory thread list fallback (when no DB is available) used HashMap::values() which has no guaranteed ordering. Sort by updated_at descending to match the SQL query ordering. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: retry libsql connect() on transient "unable to open database file" The cron ticker's background task occasionally fails with "unable to open database file" when creating a new SQLite connection concurrently with the main thread. Add retry with exponential backoff (50ms, 100ms, 200ms) to handle transient VFS/locking issues in libsql's local mode. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use ON CONFLICT with index expressions instead of named constraints PostgreSQL ON CONFLICT ON CONSTRAINT requires a named table constraint, but V11 migration creates unique indexes. Switch to the expression form (ON CONFLICT (columns) WHERE condition) which works with unique indexes. Also fix dead code in threadTitle() where thread.title was already checked on the previous line. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix rustfmt chain collapse in heartbeat.rs [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: skip broadcast when thread_id is None instead of sending empty Clients drop SSE events with empty thread_id anyway, so avoid the unnecessary network traffic by returning early. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add libsql routine/heartbeat conversation idempotency tests Add tests proving get_or_create_routine_conversation returns the same conversation ID across multiple invocations with the same routine_id. Add debug logging to routine engine to track conversation resolution. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: show "New chat" title for empty threads - threadTitle() returns "New chat" when turn_count is 0 - Assistant thread label updates dynamically from API data - Default HTML label changed from "Assistant" to "New chat" - New threads naturally sort to top via last_activity DESC [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: thread sorting, routine isolation, and UI polish - Fix libsql timestamp format mismatch causing broken thread sort order. SQLite defaults used `datetime('now')` (space-separated) while Rust code used RFC3339 (T-separated), breaking string-based ORDER BY. All INSERTs now use RFC3339, and queries use `datetime()` to normalize comparison. - Route manual routine triggers through RoutineEngine.fire_manual() instead of injecting as regular chat messages, so routines always run in their dedicated conversation thread. - Add RoutineEngineSlot to GatewayState for gateway<->engine communication. - Derive routine thread titles from conversation metadata (routine_name) instead of showing truncated UUID hashes. - Make chat_new_thread_handler persist to DB synchronously so loadThreads() sees newly created threads immediately. - Fix enableChatInput() no-op and wrong element ID in disableChatInputReadOnly(). - Fix handlers/chat.rs stale gateway-only query (use list_conversations_all_channels). - Sort in-memory threads by DateTime before converting to RFC3339 strings. - Trigger debouncedLoadThreads() on thinking/status SSE events for non-current threads so routine/heartbeat threads appear in sidebar promptly. - Remove "Threads" text from sidebar header. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: routine history display, orphaned tool_results, duplicate system messages Three independent fixes with regression tests: 1. Routine conversations now display in the web UI. build_turns_from_db_messages() handles standalone assistant messages (no preceding user message) by creating turns with empty user_input. Frontend skips empty user bubbles. 2. Worker select_tools and execute_plan paths now push an assistant_with_tool_calls message before tool execution, preventing sanitize_tool_messages from rewriting tool_results as orphaned user messages. 3. Reasoning::plan() and respond_with_tools() merge system messages from context into a single system prompt instead of creating [system, system, ...] sequences that strict LLM providers (Qwen) reject. Also: sidebar padding/spacing improvements, wider thread panel (240px). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #607 review — RwLock held across await, missing ownership check, heartbeat config - Clone Arc<RoutineEngine> out of RwLock before .await in trigger handler - Add user_id ownership check to fire_manual() with NotAuthorized error - Wire heartbeat notify_user/notify_channel from config to AgentHeartbeatConfig Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: gitignore trace_*.json files and remove stale traces Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: remove trace JSON files from repo Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: proper HTTP status codes for routine errors, read-only input guard, respond thread_id - Map RoutineError::NotFound → 404, NotAuthorized → 403, Disabled → 409 - Guard enableChatInput() against re-enabling on read-only threads - Skip respond() when thread_id is None (matches broadcast() behavior) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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d144484b06 |
feat: WASM channel attachments with LLM pipeline integration (#596)
* feat: add inbound attachment support to WASM channel system Add attachment record to WIT interface and implement inbound media parsing across all four channel implementations (Telegram, Slack, WhatsApp, Discord). Attachments flow from WASM channels through EmittedMessage to IncomingMessage with validation (size limits, MIME allowlist, count caps) at the host boundary. - Add `attachment` record to `emitted-message` in wit/channel.wit - Add `IncomingAttachment` struct to channel.rs and re-export - Add host-side validation (20MB total, 10 max, MIME allowlist) - Telegram: parse photo, document, audio, video, voice, sticker - Slack: parse file attachments with url_private - WhatsApp: parse image, audio, video, document with captions - Discord: backward-compatible empty attachments - Update FEATURE_PARITY.md section 7 - Add fixture-based tests per channel and host integration tests [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: integrate outbound attachment support and reconcile WIT types (#409) Reconcile PR #409's outbound attachment work with our inbound attachment support into a unified design: WIT type split: - `inbound-attachment` in channel-host: metadata-only (id, mime_type, filename, size_bytes, source_url, storage_key, extracted_text) - `attachment` in channel: raw bytes (filename, mime_type, data) on agent-response for outbound sending Outbound features (from PR #409): - `on-broadcast` WIT export for proactive messages without prior inbound - Telegram: multipart sendPhoto/sendDocument with auto photo→document fallback for files >10MB - wrapper.rs: `call_on_broadcast`, `read_attachments` from disk, attachment params threaded through `call_on_respond` - HTTP tool: `save_to` param for binary downloads to /tmp/ (50MB limit, path traversal protection, SSRF-safe redirect following) - Message tool: allow /tmp/ paths for attachments alongside base_dir - Credential env var fallback in inject_channel_credentials Channel updates: - All 4 channels implement on_broadcast (Telegram full, others stub) - Telegram: polling_enabled config, adjusted poll timeout - Inbound attachment types renamed to InboundAttachment in all channels Tests: 1965 passing (9 new), 0 clippy warnings [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add audio transcription pipeline and extensible WIT attachment design Add host-side transcription middleware (OpenAI Whisper) that detects audio attachments with inline data on incoming messages and transcribes them automatically. Refactor WIT inbound-attachment to use extras-json and a store-attachment-data host function instead of typed fields, so future attachment properties (dimensions, codec, etc.) don't require WIT changes that invalidate all channel plugins. - Add src/transcription/ module: TranscriptionProvider trait, TranscriptionMiddleware, AudioFormat enum, OpenAI Whisper provider - Add src/config/transcription.rs: TRANSCRIPTION_ENABLED/MODEL/BASE_URL - Wire middleware into agent message loop via AgentDeps - WIT: replace data + duration-secs with extras-json + store-attachment-data - Host: parse extras-json for well-known keys, merge stored binary data - Telegram: download voice files via store-attachment-data, add duration to extras-json, add /file/bot to HTTP allowlist, voice-only placeholder - Add reqwest multipart feature for Whisper API uploads - 5 regression tests for transcription middleware Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: wire attachment processing into LLM pipeline with multimodal image support Attachments on incoming messages are now augmented into user text via XML tags before entering the turn system, and images with data are passed as multimodal content parts (base64 data URIs) to LLM providers. This enables audio transcripts, document text, and image content to reach the LLM without changes to ChatMessage serialization or provider interfaces. - Add src/agent/attachments.rs with augment_with_attachments() and 9 unit tests - Add ContentPart/ImageUrl types to llm::provider with OpenAI-compatible serde - Carry image_content_parts transiently on Turn (skipped in serialization) - Update nearai_chat and rig_adapter to serialize multimodal content - Add 3 e2e tests verifying attachments flow through the full agent loop Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: CI failures — formatting, version bumps, and Telegram voice test - Fix cargo fmt formatting in attachments.rs, nearai_chat.rs, rig_adapter.rs, e2e_attachments.rs - Bump channel registry versions 0.1.0 → 0.2.0 (discord, slack, telegram, whatsapp) to satisfy version-bump CI check - Fix Telegram test_extract_attachments_voice: add missing required `duration` field to voice fixture JSON Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: bump WIT channel version to 0.3.0, fix Telegram voice test, add pre-commit hook - Bump wit/channel.wit package version 0.2.0 → 0.3.0 (interface changed with store-attachment-data) - Update WIT_CHANNEL_VERSION constant and registry wit_version fields to match - Fix Telegram test_extract_attachments_voice: gate voice download behind #[cfg(target_arch = "wasm32")] so host functions aren't called in native tests, update assertions for generated filename and extras_json duration - Add @0.3.0 linker stubs in wit_compat.rs - Add .githooks/pre-commit hook that runs scripts/check-version-bumps.sh when WIT or extension sources are staged - Symlink commit-msg regression hook into .githooks/ [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: extract voice download from extract_attachments into handle_message Move download_voice_file + store_attachment_data calls out of extract_attachments into a separate download_and_store_voice function called from handle_message. This keeps extract_attachments as a pure data-mapping function with no host calls, making it fully testable in native unit tests without #[cfg(target_arch)] gates. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review comments — security, correctness, and code quality Security fixes: - Add path validation to read_attachments (restrict to /tmp/) preventing arbitrary file reads from compromised tools - Escape XML special characters in attachment filenames, MIME types, and extracted text to prevent prompt injection via tag spoofing - Percent-encode file_id in Telegram getFile URL to prevent query injection - Clone SecretString directly instead of expose_secret().to_string() Correctness fixes: - Fix store_attachment_data overwrite accounting: subtract old entry size before adding new to prevent inflated totals and false rejections - Use max(reported, stored_size) for attachment size accounting to prevent WASM channels from under-reporting size_bytes to bypass limits - Add application/octet-stream to MIME allowlist (channels default unknown types to this) Code quality: - Extract send_response helper in Telegram, deduplicating on_respond and on_broadcast - Rename misleading Discord test to test_parse_slash_command_interaction - Fix .githooks/commit-msg to use relative symlink (portable across machines) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add tool_upgrade command + fix TOCTOU in save_to path validation Add `tool_upgrade` — a new extension management tool that automatically detects and reinstalls WASM extensions with outdated WIT versions. Preserves authentication secrets during upgrade. Supports upgrading a single extension by name or all installed WASM tools/channels at once. Fix TOCTOU in `validate_save_to_path`: validate the path *before* creating parent directories, so traversal paths like `/tmp/../../etc/` cannot cause filesystem mutations outside /tmp before being rejected. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: unify WIT package version to 0.3.0 across tool.wit and all capabilities tool.wit and channel.wit share the `near:agent` package namespace, so they must declare the same version. Bumps tool.wit from 0.2.0 to 0.3.0 and updates all capabilities files and registry entries to match. Fixes `cargo component build` failure: "package identifier near:[email protected] does not match previous package name of near:[email protected]" [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: move WIT file comments after package declaration WIT treats `//` comments before `package` as doc comments. When both tool.wit and channel.wit had header comments, the parser rejected them as "doc comments on multiple 'package' items". Move comments after the package declaration in both files. Also bumps tool registry versions to 0.2.0 to match the WIT 0.3.0 bump. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: display extension versions in gateway Extensions tab Add version field to InstalledExtension and RegistryEntry types, pipe through the web API (ExtensionInfo, RegistryEntryInfo), and render as a badge in the gateway UI for both installed and available extensions. For installed WASM extensions, version is read from the capabilities file with a fallback to the registry entry when the local file has no version (old installations). Bump all extension Cargo.toml and registry JSON versions from 0.1.0 to 0.2.0 to keep them in sync. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add document text extraction middleware for PDF, Office, and text files Extract text from document attachments (PDF, DOCX, PPTX, XLSX, RTF, plain text, code files) so the LLM can reason about uploaded documents. Uses pdf-extract for PDFs, zip+XML parsing for Office XML formats, and UTF-8 decode for text files. Wired into the agent loop after transcription middleware. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: download document files in Telegram channel for text extraction The DocumentExtractionMiddleware needs file bytes in the attachment `data` field, but only voice files were being downloaded. Document attachments (PDFs, DOCX, etc.) had empty `data` and a source_url with a credential placeholder that only works inside the WASM host's http_request. Add `download_and_store_documents()` that downloads non-voice, non-image, non-audio attachments via the existing two-step getFile→download flow and stores bytes via `store_attachment_data` for host-side extraction. Also rename `download_voice_file` → `download_telegram_file` since it's generic for any file_id. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: allow Office MIME types and increase file download limit for Telegram Two issues preventing document extraction from Telegram: 1. PPTX/DOCX/XLSX MIME types (application/vnd.*) were dropped by the WASM host attachment allowlist — add application/vnd., application/msword, and application/rtf prefixes. 2. Telegram file downloads over 10 MB failed with "Response body too large" — set max_response_bytes to 20 MB in Telegram capabilities. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: report document extraction errors back to user instead of silently skipping - Bump max_response_bytes to 50 MB for Telegram file downloads - When document extraction fails (too large, download error, parse error), set extracted_text to a user-friendly error message instead of leaving it None. This ensures the LLM tells the user what went wrong. - On Telegram download failure, set extracted_text with the error so the user sees feedback even when the file never reaches the extraction middleware. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: store extracted document text in workspace memory for search/recall After document extraction succeeds, write the extracted text to workspace memory at `documents/{date}/{filename}`. This enables: - Full-text and semantic search over past uploaded documents - Cross-conversation recall ("what did that PDF say?") - Automatic chunking and embedding via the workspace pipeline Documents are stored with metadata header (uploader, channel, date, MIME type). Error messages (extraction failures) are not stored — only successful extractions. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: CI failures — formatting, unused assignment warning - Run cargo fmt on document_extraction and agent_loop modules - Suppress unused_assignments warning on trace_llm_ref (used only behind #[cfg(feature = "libsql")]) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review comments — security, correctness, and code quality Security fixes: - Remove SSRF-prone download() from DocumentExtractionMiddleware (#13) - Sanitize filenames in workspace path to prevent directory traversal (#11) - Pre-check file size before reading in WASM wrapper to prevent OOM (#2) - Percent-encode file_id in Telegram source URLs (#7) Correctness fixes: - Clear image_content_parts on turn end to prevent memory leak (#1) - Find first *successful* transcription instead of first overall (#3) - Enforce data.len() size limit in document extraction (#10) - Use UTF-8 safe truncation with char_indices() (#12) Robustness & code quality: - Add 120s timeout to OpenAI Whisper HTTP client (#5) - Trim trailing slash from Whisper base_url (#6) - Allow ~/.ironclaw/ paths in WASM wrapper (#8) - Return error from on_broadcast in Slack/Discord/WhatsApp (#9) - Fix doc comment in HTTP tool (#4) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: formatting — cargo fmt Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address latest PR review — doc comments, error messages, version bumps - Fix DocumentExtractionMiddleware doc comment (no longer downloads from source_url) - Fix error message: "no inline data" instead of "no download URL" - Log error + fallback instead of silent unwrap_or_default on Whisper HTTP client - Bump all capabilities.json versions from 0.1.0 to 0.2.0 to match Cargo.toml Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: remove unsupported profile: minimal from CI workflows [skip-regression-check] dtolnay/rust-toolchain@stable does not accept the 'profile' input (it was a parameter for the deprecated actions-rs/toolchain action). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: merge with latest main — resolve compilation errors and PR review nits - Add version: None to RegistryEntry/InstalledExtension test constructors - Fix MessageContent type mismatches in nearai_chat tests (String → MessageContent::Text) - Fix .contains() calls on MessageContent — use .as_text().unwrap() - Remove redundant trace_llm_ref = None assignment in test_rig - Check data size before clone in document extraction to avoid unnecessary allocation [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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30790439ee |
perf: build system prompt once per turn, skip tools on force-text (#583)
* perf: build system prompt once per turn, skip tools on force-text, fix nudge role (#565) Three fixes to agentic loop prompt handling: 1. Build system prompt once per turn instead of every tool iteration. `build_system_prompt_with_tools` is now pub; callers pass the result via `ReasoningContext::system_prompt` to avoid rebuilding ~1,500 tokens per iteration. 2. Skip `## Available Tools` section when `force_text = true`. The dispatcher passes a no-tools prompt variant on the final iteration, saving ~460 tokens and removing misleading instructions. 3. Change nudge message from `Role::System` to `Role::User`. A second system message mid-conversation is unsupported by most providers. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: revert nudge role change to keep ChatMessage::system Copilot review correctly identified that using Role::User for the nudge breaks compact_messages_for_retry, which uses rposition for Role::User to find the last real user message. Role::Assistant would cause back-to-back assistant messages. Since no production issues were reported with the original system role, revert to ChatMessage::system. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address PR review — omit tool guidance when tools empty, rename shadowed var - Conditionalize "Call tools…" guidelines and "## Tool Call Style" section in the system prompt so they are only included when tools are non-empty. Previously the force-text (no-tools) prompt still contained misleading tool-calling instructions. (Copilot review comment) - Rename `system_prompt` → `cached_prompt` in dispatcher to avoid shadowing the earlier workspace identity `system_prompt` variable. (Copilot review) - Add regression tests: `test_system_prompt_with_tools_contains_tool_guidance` and extended assertions in `test_system_prompt_without_tools_omits_tools_section`. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> Co-authored-by: [email protected] <[email protected]> |
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424a0366a9 |
feat: enable Anthropic prompt caching via automatic cache_control injection (#660)
* feat(llm): add Anthropic prompt caching and cache token tracking - Inject cache_control via additional_params for Claude models in rig_adapter - Add cache_read_input_tokens and cache_creation_input_tokens to CompletionResponse and ToolCompletionResponse - Extract cached_input_tokens from rig-core unified Usage - Add is_anthropic_model() detection helper with provider prefix support - Log prompt cache hits at debug level (consistent with response_cache) - Add 7 unit tests for cache injection and model detection - Update all mock providers and test fixtures with new fields * feat(cost): apply 90% cache discount to prompt-cached tokens in CostGuard - Add cache_read_input_tokens to TokenUsage so cache counts flow from CompletionResponse through the reasoning layer to the dispatcher - Update CostGuard::record_llm_call() to accept cache_read_input_tokens: cached tokens are billed at 10% of the normal input rate - Thread cache_read_input_tokens from dispatcher into CostGuard - Add test_cache_discount_reduces_cost verifying exact savings match 90% of input cost for fully-cached requests - Update all existing test callers with zero-cache parameter * refactor(cache): scope cache_control to Anthropic backend and validate model support - Replace model-name-based is_anthropic_model() with explicit enable_prompt_cache flag on RigAdapter, set only for the direct Anthropic backend via with_prompt_cache(true) - Add supports_prompt_cache() to validate model names per Anthropic docs: only Claude 3+ models support caching; claude-2 and claude-instant are excluded to prevent 400 errors - Warn when caching is enabled but model does not support it - Replace is_anthropic_model tests with flag-based and model validation tests * fix(cache): validate model at construction and propagate cache metrics through proxy - Move supports_prompt_cache() check into with_prompt_cache() so unsupported models are detected once at construction, not per request - Add cache_read_input_tokens and cache_creation_input_tokens to ProxyCompletionResponse and ProxyToolCompletionResponse with serde(default) for backward compatibility - Pass cache metrics through orchestrator proxy instead of zeroing - Use claude-opus-4-6 in cache discount test to match Anthropic semantics * feat(llm): add configurable cache retention with write surcharge - Add CacheRetention enum (none/short/long) to AnthropicDirectConfig - Parse ANTHROPIC_CACHE_RETENTION env var (default: short) - Inject TTL-aware cache_control (short=5m ephemeral, long=1h) - Extract cache_creation_input_tokens from raw Anthropic response - Add cache_write_multiplier() to LlmProvider trait (1.25x short, 2.0x long) - Pipe dynamic write multiplier through dispatcher to CostGuard - Add TokenUsage.cache_creation_input_tokens field - Add tests for Long TTL injection, 5m and 1h write surcharges - Document ANTHROPIC_CACHE_RETENTION in .env.example * docs: fix stale cache_retention field comment * fix: resolve CI failures after upstream merge - Add missing cost_per_token arg to cache test callsites - Apply cargo fmt to long lines in tests and tracing macros * fix: address Copilot review feedback - Use saturating_add for cache token sum to prevent u32 overflow - Tighten supports_prompt_cache to explicitly match claude-3+/claude-4+ and named families (claude-sonnet/claude-opus/claude-haiku) * fix: adapt prompt caching to registry architecture and add missing cache fields - Resolve merge conflicts: adapt CacheRetention and cache injection to the declarative provider registry (RegistryProviderConfig replaces AnthropicDirectConfig) - Parse ANTHROPIC_CACHE_RETENTION env var in create_anthropic_from_registry() - Use Anthropic automatic caching via top-level cache_control in additional_params (rig-core #[serde(flatten)] places it at request root) - Add cache_read/creation_input_tokens fields to all mock LlmProviders added on main after PR #291 branched (response_cache, dispatcher, provider_chaos, trace_llm) - Suppress clippy::too_many_arguments on record_llm_call and build_rig_request - Add regression tests for cache injection (short/long/none) and cache_write_multiplier values Co-Authored-By: Canvinus <[email protected]> * fix: delegate cache_write_multiplier through provider wrappers and make cache_read_discount configurable The 6 decorator providers (Retry, CircuitBreaker, Failover, SmartRouting, CachedProvider, RecordingLlm) did not delegate cache_write_multiplier() to their inner provider, causing it to always return 1.0 instead of the actual 1.25x/2.0x from RigAdapter. This fix adds delegation for both cache_write_multiplier() and the new cache_read_discount() method. Also makes the cache read discount per-provider instead of hardcoding Anthropic's 90% discount (÷10). OpenAI uses 50% (÷2), so the discount is now returned by each provider via the LlmProvider trait. Addresses review feedback on PR #660. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add CacheRetention FromStr/Display unit tests Tests cover primary values, aliases (off/disabled/5m/ephemeral/1h), case-insensitivity, invalid input error, and Display round-trip. Addresses Copilot review feedback on PR #660. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Andrey <[email protected]> Co-authored-by: Andrey Gruzdev <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> |
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633b234e44 |
docs: add comprehensive subdirectory CLAUDE.md files and update root (#589)
* docs: add comprehensive subdirectory CLAUDE.md files and update root The repo has grown significantly. This adds module-level CLAUDE.md files for the five most complex subsystems, and updates the root CLAUDE.md to reflect the actual current state of the codebase. New files: - src/agent/CLAUDE.md — full module map (19 files), session/thread/turn model, agentic loop flow, compaction strategies with correct thresholds, scheduler invariants, self-repair details, complete submission command reference table - src/channels/web/CLAUDE.md — complete API route table (50+ endpoints), SSE event type reference, auth/rate limiting gotchas, connection limits, CORS headers, step-by-step endpoint addition guide - src/db/CLAUDE.md — dual-backend build commands, sub-trait structure (7 sub-traits, ~67 methods), SQL dialect differences, boolean/timestamp gotchas, complete schema table, in-memory test helper, shared handle pattern - src/llm/CLAUDE.md — corrected LlmProvider trait signatures, provider chain decorator order, NEAR AI dual-auth and session renewal details, circuit breaker thresholds, previously undocumented smart_routing.rs and recording.rs - tests/e2e/CLAUDE.md — conftest fixtures and async scoping, environment injected into the binary, mock_llm canned responses, writing guide with correct asyncio usage, gotchas section Root CLAUDE.md updates: - Added E2E test setup and integration test commands - Documented ~15 undocumented modules: cli/, registry/, hooks/, tunnel/, observability/, webhook_server.rs, cost_guard.rs, job_monitor.rs, etc. - Corrected libSQL backend path (libsql/ directory, 8 sub-modules) - Updated Database trait method count (~67, split across 7 sub-traits) - Fixed stale references: config.rs → config/channels.rs, main.rs → app.rs - Added Hook, Observer, Tunnel traits to extensibility section - Added tunnel and observability env vars to Configuration section - Removed resolved TODO (webhook trigger is now shipped) - Added Module Specifications entries for all 5 new CLAUDE.md files Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * docs: address PR review comments and reduce CLAUDE.md size - Fix 7-sub-trait count (was 6) and ~78 async methods (was ~60/~67) in both CLAUDE.md and src/db/CLAUDE.md - Add missing types.rs to secrets/ file tree (CLAUDE.md) - Add missing tls.rs to src/db/CLAUDE.md Files table - Fix method counts: ConversationStore 12, JobStore 13, RoutineStore 15 - Add Windows venv activation note to E2E setup commands - Collapse agent/, web/, llm/, db/ file trees to one-liners (detail lives in their respective CLAUDE.md files) - Replace verbose Database and LLM Providers sections with summaries linking to src/db/CLAUDE.md and src/llm/CLAUDE.md - Root CLAUDE.md: 43,868 → 35,270 chars (fixes >40k perf warning) [skip-regression-check] Co-Authored-By: Claude Sonnet 4.6 <[email protected]> --------- Co-authored-by: Claude Sonnet 4.6 <[email protected]> |
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cf96a3253c |
fix(tests): replace hardcoded /tmp paths with tempdir + add 300 unit tests (#659)
* test: add unit tests across 20 modules for coverage push Add 300+ unit tests covering config, context, evaluation, extensions, LLM, secrets, tools/builder, and tools/mcp modules. All tests are pure unit tests (no mocks) exercising serde roundtrips, edge cases, error paths, and business logic. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(tests): replace hardcoded /tmp paths with tempfile::tempdir The e2e_metrics_test::test_metrics_collected_from_tool_trace test was failing because setup_test_dir() created /tmp/ironclaw_metrics_test but the fixture referenced /tmp/ironclaw_e2e_test/hello.txt (path mismatch). Added LlmTrace::replace_paths() to substitute fixture paths at runtime, then converted all 12 test files from hardcoded /tmp/ironclaw_* paths to tempfile::tempdir(). Tests are now isolated, parallel-safe, and leave no debris on disk. Regression test: test_metrics_collected_from_tool_trace now passes consistently regardless of prior /tmp state. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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8fbb782090 |
fix(llm): nudge LLM when it expresses tool intent without calling tools (#653)
* fix(llm): nudge LLM when it expresses tool intent without calling tools
Non-Anthropic models (especially GLM-5 via NEAR AI) frequently output
text like "Let me search for X" without including tool_calls, creating
a frustrating loop where the user waits but nothing happens.
Add llm_signals_tool_intent() detection that matches intent phrases
("let me search", "I'll fetch") while excluding conversational phrases
("let me explain", "let me know") and content inside code blocks.
When detected, inject a nudge message telling the model to actually
call the tool. Cap at 2 consecutive nudges to avoid infinite loops.
Applied to all three agentic loops: dispatcher (interactive chat),
agent/worker (background jobs), and worker/runtime (sandbox containers).
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix(nudge): address PR #653 review comments
1. Update doc comment to match implementation (code blocks only, not quotes)
2. Use match_indices() instead of find() to check all prefix occurrences
3. Add !available_tools.is_empty() guard in dispatcher nudge check
4. Reset consecutive_tool_intent_nudges on non-intent text responses
5. Add regression test for shadowed prefix detection
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix(nudge): address second round of PR #653 review comments
1. Strip double-quoted strings in tool-intent detection to avoid false
positives on quoted prose like `"Let me search the database"`.
2. Only reset consecutive_tool_intent_nudges when text does NOT signal
intent — preserves the 2-nudge cap when intent is detected but cap
is already reached.
3. Fix assertion message in nudge_cap test to report correct call index.
4. Add regression test for quoted strings outside code blocks.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
---------
Co-authored-by: Claude Opus 4.6 <[email protected]>
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MadokaandGitHub
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3f22f4321d |
fix(llm): report zero cost for OpenRouter free-tier models (#463) (#613)
OpenRouter models with the `:free` suffix (e.g. `stepfun/step-3.5-flash:free`)
and the `openrouter/free` router were falling through to `default_cost()`,
which reports GPT-4o pricing (~$2.50/$10.00 per 1M tokens) instead of $0.
Root cause: `model_cost()` strips the provider prefix via `rsplit_once('/')`,
leaving identifiers like `step-3.5-flash:free` or `free` that don't match any
known model or the `is_local_model()` heuristic.
Fix: add an early return before prefix stripping that checks for the `:free`
suffix and the bare `free` / `openrouter/free` identifiers, returning zero cost.
Tests: 4 new test cases covering the `:free` suffix with various providers,
the `openrouter/free` router, and the bare `free` edge case.
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5c2ba44f12 |
feat(llm): declarative provider registry (#618)
* feat(llm): declarative provider registry, replace hardcoded provider configs Replace the hardcoded LlmBackend enum and per-provider config structs with a declarative JSON registry. Adding a new OpenAI-compatible provider now requires zero Rust code changes -- just add an entry to providers.json. - Add providers.json with 14 providers (openai, anthropic, ollama, openai_compatible, tinfoil, openrouter, groq, nvidia, venice, together, fireworks, deepseek, cerebras, sambanova) - Add src/llm/registry.rs with ProviderProtocol, SetupHint, ProviderDefinition, and ProviderRegistry types - Rewrite src/config/llm.rs: remove LlmBackend enum and 5 per-provider config structs, replace with generic RegistryProviderConfig - Simplify src/llm/mod.rs: remove 5 create_*_provider functions, dispatch on ProviderProtocol (3 code paths for all providers) - Dynamic setup wizard: menu built from registry.selectable(), generic credential collection dispatched by SetupHint kind - Dynamic secret injection: inject_llm_keys_from_secrets() discovers secret-to-env mappings from registry instead of hardcoded list - Users can extend with ~/.ironclaw/providers.json (no recompile) - Subsumes open provider PRs: Groq #570, NVIDIA NIM #576, Venice.ai #451 (Gemini #476 excluded -- not OpenAI-compatible) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(llm): self-sufficient provider auth, onboard --provider-only, extract SessionConfig - NearAiChatProvider handles its own session auth lazily in resolve_bearer_token() instead of requiring main.rs to pre-check. Triggers OAuth/API-key login on first request when no token exists. - Add `ironclaw onboard --provider-only` to reconfigure just the LLM provider and model selection without re-running the full wizard. - Extract auth_base_url and session_path from NearAiConfig into LlmConfig::session (SessionConfig). Callers now use config.llm.session directly instead of reaching into nearai fields. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(llm): address PR review comments on provider registry - Use registry.selectable() instead of registry.all() for secret injection to avoid duplicates from user provider overrides. - Fix selectable() dedup bug: check setup hint on the final (overridden) definition, not the first occurrence. User overrides that add a setup hint are now included correctly. - Only store openai_compatible_base_url for providers that actually use LLM_BASE_URL, preventing base URL pollution for groq/nvidia/etc. - Normalize provider_id to canonical registry def.id instead of using the raw user-supplied alias string. - Add comment explaining why .completions_api() is used over the default Responses API path. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(docker): copy providers.json into build context The declarative provider registry uses `include_str!("../../providers.json")` at compile time, so the file must be present in the Docker builder stage. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(llm): address second-round PR review comments (#618) - Make --channels-only and --provider-only mutually exclusive via clap conflicts_with (Copilot: cli/mod.rs) - Add 5s timeout to fetch_openai_compatible_models(), matching the other three model-fetch helpers (Copilot: wizard.rs) - Apply models_filter from setup hints when listing models, so Groq's "chat" filter actually excludes non-chat models (Copilot: wizard.rs) - Normalize LlmConfig.backend to the canonical provider ID instead of the raw user-supplied alias string (Copilot: llm.rs) - Add models_filter() accessor to SetupHint with regression test Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): relax flaky parallel speedup timing threshold The test_parallel_speedup test asserted <500ms but CI runners can be slow enough to exceed that while still proving parallelism. Bumped to 800ms which still validates parallel execution (sequential would be ~600ms minimum) while tolerating CI jitter. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(llm): handle api_key_login path in resolve_bearer_token, warn on missing keys - resolve_bearer_token() now checks NEARAI_API_KEY env var after ensure_authenticated(), handling the case where the user entered an API key via the interactive login flow (which sets the env var but not a session token) - Add tracing::warn when creating an OpenAI-compatible provider without an API key, making 401 errors easier to diagnose - Add regression test for resolve_bearer_token auth paths Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting in nearai_chat test [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(llm): correct bearer token priority, handle setup-less providers (#618) - resolve_bearer_token(): session token now takes priority over NEARAI_API_KEY env var, preventing unexpected auth mode switches. The env var fallback only triggers after ensure_authenticated() when no session token was stored (api_key_login path). - run_provider_setup(): providers with setup: None no longer error, allowing env-var-only providers to be kept during re-onboarding. - Split bearer token test into 3 focused tests: config api_key path, session token path, and session-beats-env-var precedence test. - Add test for wizard handling of providers without setup hints. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test(llm): comprehensive tests for provider registry, config, and auth Add 13 new tests covering the critical paths in the provider system: Bearer token auth priority (nearai_chat.rs): - config api_key wins over session token and env var - session token wins over env var (prevents mid-run auth mode switches) - config api_key path works in isolation - session token path works in isolation Config resolution (config/llm.rs): - backend alias normalization (open_ai → openai) - unknown backend falls back to openai_compatible - nearai aliases (nearai, near_ai, near) all resolve correctly - base URL resolution priority (env > settings > registry default) Registry dedup (registry.rs): - user override adds setup hint → appears in selectable() - user override removes setup hint → excluded from selectable() - selectable() preserves insertion order during dedup - all built-in ApiKey providers have api_key_env set Wizard (wizard.rs): - setup: None providers don't error during re-onboarding Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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7806273aa6 |
Fix(llm): complete response cache — set_model invalidation, stats logging, sync mutex (#290)
* fix(llm): complete response cache — set_model invalidation, stats logging, sync mutex # Conflicts: # src/llm/response_cache.rs * fix(llm): address response cache review comments - Add total_hit_count AtomicU64 that is never decremented on eviction; maybe_log_stats now uses this counter so hit_rate_pct stays accurate under high eviction pressure - Log cache stats before returning on provider error so milestone intervals (every 100 requests) are never silently skipped - Add tracing-test dev-dep and three new tests: total_hits_survives_eviction, stats_logged_at_request_100, stats_logged_on_provider_error_at_interval - Update PR description to reflect actual set_model() behavior (key isolation, not cache clear) Co-Authored-By: Claude Sonnet 4.6 <[email protected]> --------- Co-authored-by: Claude Sonnet 4.6 <[email protected]> |
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26d274ac79 |
fix(llm): fix reasoning model response parsing bugs (#564) (#580)
Three related fixes for reasoning model artifacts (GLM-4/5, DeepSeek R1, Qwen3): 1. reasoning_content no longer leaks into tool-call assistant messages in nearai_chat — only used as fallback for final text responses. 2. plan() and evaluate_success() now apply clean_response() before JSON parsing, preventing <think> tag prefixes from breaking plan/eval. 3. Unclosed <think> before <final> no longer discards the answer — the strict discard path now extracts <final> content first. 8 regression tests added. Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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470de5bd2d |
feat: merge http/web_fetch tools, add tool output stash for large responses (#578)
* feat: merge http/web_fetch tools, add tool output stash for large responses Merge `web_fetch` into `http` tool with smart approval: plain GETs (no headers, no body) run without approval and follow redirects with SSRF re-validation per hop; all other requests require approval as before. Add `tool_output_stash` on JobContext so full tool outputs are preserved before safety-layer truncation. The `json` tool gains a `source_tool_call_id` parameter to reference stashed outputs, enabling reliable parsing of large API responses that exceed the 100KB context limit. Other improvements: - Descriptive User-Agent header using CARGO_PKG_VERSION - Truncation now keeps partial data + hint about source_tool_call_id - System prompt reinforces tool_calls over narration - json tool query/stringify handle pre-parsed (non-string) data [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: delete dead web_fetch.rs (merged into http tool) Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix rustfmt formatting Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: rename shadowed data binding for clarity in json tool Address PR review: rename owned `data` to `data_value` before re-binding as `let data = &data_value` to make ownership explicit. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(ci): mark network-dependent trace tests as #[ignore] The weather_sf and baseball_stats tests hit live external APIs (wttr.in, ESPN) which are unreliable in CI. Mark them #[ignore] so they don't block the pipeline. Run locally with `--ignored` to include them. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: replay recorded HTTP exchanges in trace tests instead of hitting live APIs Wire ReplayingHttpInterceptor into TestRig when the trace fixture contains http_exchanges. This replays recorded responses instead of making live network calls, making tests deterministic and CI-stable. Add captured HTTP responses to weather_sf.json (wttr.in) and baseball_stats.json (ESPN API) fixtures. Revert #[ignore] on both tests — they now run offline. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: recover inline bracket-format tool calls from LLM text responses When flatten_tool_messages converts tool calls to text like `[Called tool `http` with arguments: {...}]` for NEAR AI compatibility, the LLM sometimes echoes this format back in its text responses instead of using proper tool_calls. Add recovery for this bracket format in recover_tool_calls_from_content and strip it in clean_response so users don't see raw tool call syntax. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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69cddb10fd |
feat: integrate 13-dimension complexity scorer into smart routing (#529)
* feat(llm): add smart model routing based on request complexity Automatically selects optimal model tier (flash/standard/pro/frontier) for each request based on 13-dimension complexity scoring: - Reasoning words, multi-step signals, code indicators - Domain-specific terms, creativity, precision - Safety sensitivity, tool likelihood, question complexity - Token estimate, context dependency, sentence complexity Features: - Pattern overrides for fast-path routing (greetings → flash, security audits → frontier) - Configurable tier-to-model mappings (defaults to -latest aliases) - Thinking mode per tier (pro: low, frontier: medium) - User-configurable pattern overrides - Zero-config for default benefits, full control for power users Expected cost savings: 50-70% vs always-using-frontier baseline. Refs: smart-routing-spec.md * fix(routing): address Gemini Code Assist review feedback - Add tracing warnings for invalid tier/regex in user overrides (router.rs) - Use unreachable!() for tier hint match since regex enforces valid tiers (scorer.rs) - Refactor weighted total to array iteration for maintainability (scorer.rs) - Add TODO for making domain keywords configurable (scorer.rs) Refs: PR #208 * feat(routing): make domain keywords configurable - Add ScorerConfig with optional domain_keywords field - Add DEFAULT_DOMAIN_KEYWORDS constant (exported for reference) - Add domain_keywords to RouterConfig for top-level configuration - Build domain regex at runtime from config, fallback to defaults - Add score_complexity_with_config() function - Add test for custom domain keywords Users can now provide project-specific keywords: RouterConfig { domain_keywords: Some(vec!["mycompany".into(), "myproduct".into()]), ..Default::default() } Addresses Gemini Code Assist review feedback on PR #208. Tests: 20/20 passing * docs: add domain_keywords to routing config example * feat: integrate 13-dimension complexity scorer into smart routing (takeover #208) Folds the 13-dimension complexity scorer and pattern overrides from PR #208 into the existing SmartRoutingProvider, replacing the simpler keyword-based classifier. Adds 4-tier system (Flash/Standard/Pro/Frontier), configurable scorer weights, domain keywords, regex pattern overrides, tier hints, and multi-dimensional boost. Removes separate routing/ directory and lazy_static dependency in favor of std::sync::LazyLock. Includes 44 tests covering all scoring dimensions, tier boundaries, pattern overrides, and provider routing. Co-Authored-By: onlyamicrowave <[email protected]> Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review feedback on smart routing PR (#529) - Cache compiled domain regex in SmartRoutingProvider (built once at construction, not per-request) and add score_complexity_with_regex() API - Check explicit tier hints before pattern overrides so user intent wins (e.g. "[tier:flash] security audit" routes as Flash, not Frontier) - Trim input before matching/scoring so trailing whitespace doesn't break anchored override regexes or skew token-length scoring - Fix token estimate comment (>=520 chars = 100, not >500) - Update spec: check implementation plan boxes, fix file paths, add note that llm.routing YAML schema is target design (current config uses env vars) - Add regression tests for tier hint precedence and trimmed greeting matching Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: restore Cargo.lock from main to fix html_to_markdown test The lockfile was fully regenerated during the PR #208 merge conflict resolution, which bumped html-to-markdown-rs from 2.25.1 to 2.27.2. The new version produces different output that breaks the golden-file snapshot test. Restore the original lockfile from main — lazy_static was never in main's lockfile, so no further changes needed. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address second round of review feedback (#529) - Tighten quick-lookup override regex with end anchor to prevent matching complex questions like "What time complexity is merge sort?" - Handle empty domain keywords list by falling back to defaults instead of producing a broken regex that matches empty strings everywhere - Clarify spec architecture diagram: current impl uses 2-provider split (cheap/primary), per-tier model mapping is target design - Add regression tests for both fixes Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Microwave <[email protected]> Co-authored-by: Joe <[email protected]> Co-authored-by: onlyamicrowave <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> |
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b4b19738a8 |
Trajectory benchmarks and e2e trace test rig (#553)
* refactor: extract shared assertion helpers to support/assertions.rs Move 5 assertion helpers from e2e_spot_checks.rs to a shared module. Add assert_all_tools_succeeded and assert_tool_succeeded for eliminating false positives in E2E tests. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add tool output capture via tool_results() accessor Extract (name, preview) from ToolResult status events in TestChannel and TestRig, enabling content assertions on tool outputs. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: correct tool parameters in 3 broken trace fixtures - tool_time.json: add missing "operation": "now" for time tool - robust_correct_tool.json: same fix - memory_full_cycle.json: change "path" to "target" for memory_write Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add tool success and output assertions to eliminate false positives Every E2E test that exercises tools now calls assert_all_tools_succeeded. Added tool output content assertions where tool results are predictable (time year, read_file content, memory_read content). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: capture per-tool timing from ToolStarted/ToolCompleted events Record Instant on ToolStarted and compute elapsed duration on ToolCompleted, wiring real timing data into collect_metrics() instead of hardcoded zeros. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: add RAII CleanupGuard for temp file/dir cleanup in tests Replace manual cleanup_test_dir() calls and inline remove_file() with Drop-based CleanupGuard that ensures cleanup even if a test panics. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add Drop impl and graceful shutdown for TestRig Wrap agent_handle in Option so Drop can abort leaked tasks. Signal the channel shutdown before aborting for future cooperative shutdown. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: replace agent startup sleep with oneshot ready signal Use a oneshot channel fired in Channel::start() instead of a fixed 100ms sleep, eliminating the race condition on slow systems. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: replace fragile string-matching iteration limit with count-based detection Use tool completion count vs max_tool_iterations instead of scanning status messages for "iteration"/"limit" substrings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use assert_all_tools_succeeded for memory_full_cycle test Remove incorrect comment about memory_tree failing with empty path (it actually succeeds). Omit empty path from fixture and use the standard assert_all_tools_succeeded instead of per-tool assertions. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: promote benchmark metrics types to library code Move TraceMetrics, ScenarioResult, RunResult, MetricDelta, and compare_runs() from tests/support/metrics.rs to src/benchmark/metrics.rs. Existing tests use re-export for backward compatibility. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add Scenario and Criterion types for agent benchmarking Scenario defines a task with input, success criteria, and resource limits. Criterion is an enum of programmatic checks (tool_used, response_contains, etc.) evaluated without LLM judgment. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add initial benchmark scenario suite (12 scenarios across 5 categories) Scenarios cover tool_selection, tool_chaining, error_recovery, efficiency, and memory_operations. All loaded from JSON with deserialization validation test. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add benchmark runner with BenchChannel and InstrumentedLlm BenchChannel is a minimal Channel implementation for benchmarks. InstrumentedLlm wraps any LlmProvider to capture per-call metrics. Runner creates a fresh agent per scenario, evaluates success criteria, and produces RunResult with timing, token, and cost metrics. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add baseline management, reports, and benchmark entry point - baseline.rs: load/save/promote benchmark results - report.rs: format comparison reports with regression detection - benchmark_runner.rs: integration test with real LLM (feature-gated) - Add benchmark feature flag to Cargo.toml Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: apply cargo fmt to benchmark module Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add multi-turn scenario types with setup, judge, ResponseNotContains Add BenchScenario, Turn, TurnAssertions, JudgeConfig, ScenarioSetup, WorkspaceSetup, SeedDocument types for multi-turn benchmark scenarios. Add ResponseNotContains criterion variant. Add TurnAssertions::to_criteria() converter for backward compat with existing evaluation engine. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add JSON scenario loader with recursive discovery and tag filter Add load_bench_scenarios() for the new BenchScenario format with recursive directory traversal and tag-based filtering. Create 4 initial trajectory scenarios across tool-selection, multi-turn, and efficiency categories. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): multi-turn runner with workspace seeding and per-turn metrics Add run_bench_scenario() that loops over BenchScenario turns, seeds workspace documents, collects per-turn metrics (tokens, tool calls, wall time), and evaluates per-turn assertions. Add TurnMetrics to metrics.rs and clear_for_next_turn() to BenchChannel. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add LLM-as-judge scoring with prompt formatting and score parsing Create judge.rs with format_judge_prompt, parse_judge_score, and judge_turn. Wire into run_bench_scenario for turns with judge config -- scores below min_score fail the turn. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add CLI subcommand (ironclaw benchmark) Add BenchmarkCommand with --tags, --scenario, --no-judge, --timeout, --update-baseline flags. Wire into Command enum and main.rs dispatch. Feature-gated behind benchmark flag. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): per-scenario JSON output with full trajectory Add save_scenario_results() that writes per-scenario JSON files alongside the run summary. Each scenario gets its own file with turn_metrics trajectory. Update CLI to use new output format. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add ToolRegistry::retain_only and wire tool filtering in scenarios Add a retain_only() method to ToolRegistry that filters tools down to a given allowlist. Wire this into run_bench_scenario() so that when a scenario specifies a tools list in its setup, only those tools are available during the benchmark run. Includes two tests for the new method: one verifying filtering works and one verifying empty input is a no-op. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): wire identity overrides into workspace before agent start Add seed_identity() helper that writes identity files (IDENTITY.md, USER.md, etc.) into the workspace before the agent starts, so that workspace.system_prompt() picks them up. Wire it into run_bench_scenario() after workspace seeding. Include a test that verifies identity files are written and readable. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add --parallel and --max-cost CLI flags Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(benchmark): use feature-conditional snapshot names for CLI help tests Prevents snapshot conflicts between default (no benchmark) and all-features (with benchmark) builds by using separate snapshot names per feature set. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): parallel execution with JoinSet and budget cap enforcement Replace sequential loop in run_all_bench() with parallel execution using JoinSet + semaphore when config.parallel > 1. Add budget cap enforcement that skips remaining scenarios when max_total_cost_usd is exceeded. Track skipped count in RunResult.skipped_scenarios and display it in format_report(). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add tool restriction and identity override test scenarios Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: fix formatting for Phase 3 Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add SkillRegistry::retain_only and wire skill filtering in scenarios Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(benchmark): add --json flag for machine-readable output Co-Authored-By: Claude Opus 4.6 <[email protected]> * ci: add GitHub Actions benchmark workflow (manual trigger) Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(benchmark): remove in-tree benchmark harness, keep retain_only utilities Move benchmark-specific code out of ironclaw in preparation for the nearai/benchmarks trajectory adapter. This removes: - src/benchmark/ (runner, scenarios, metrics, judge, report, etc.) - src/cli/benchmark.rs and the Benchmark CLI subcommand - benchmarks/ data directory (scenarios + trajectories) - .github/workflows/benchmark.yml - The "benchmark" Cargo feature flag What remains: - ToolRegistry::retain_only() and SkillRegistry::retain_only() - Test support types (TraceMetrics, InstrumentedLlm) inlined into tests/support/ instead of re-exporting from the deleted module Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: add README for LLM trace fixture format Documents the trajectory JSON format, response types, request hints, directory structure, and how to write new traces. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(test): unify trace format around turns, add multi-turn support Introduce TraceTurn type that groups user_input with LLM response steps, making traces self-contained conversation trajectories. Add run_trace() to TestRig for automatic multi-turn replay. Backward-compatible: flat "steps" JSON is deserialized as a single turn transparently. Includes all trace fixtures (spot, coverage, advanced), plan docs, and new e2e tests for steering, error recovery, long chains, memory, and prompt injection resilience. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): fix CI failures after merging main - Fix tool_json fixture: use "data" parameter (not "input") to match JsonTool schema - Fix status_events test: remove assertion for "time" tool that isn't in the fixture (only "echo" calls are used) - Allow dead_code in test support metrics/instrumented_llm modules (utilities for future benchmark tests) [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * Working on recording traces and testing them * feat(test): add declarative expects to trace fixtures, split infra tests Add TraceExpects struct with 9 optional assertion fields (response_contains, tools_used, all_tools_succeeded, etc.) that can be declared in fixture JSON instead of hand-written Rust. Add verify_expects() and run_recorded_trace() so recorded trace tests become one-liners. Split trace infra tests (deserialization, backward compat) into tests/trace_format.rs which doesn't require the libsql feature gate. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(test): add expects to all trace fixtures, simplify e2e tests Add declarative expects blocks to all 19 trace fixture JSONs across spot/, coverage/, advanced/, and root directories. Update all 8 e2e test files to use verify_trace_expects() / run_and_verify_trace(), replacing ~270 lines of hand-written assertions with fixture-driven verification. Tests that check things beyond expects (file content on disk, metrics, event ordering) keep those extra assertions alongside the declarative ones. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): adapt tests to AppBuilder refactor, fix formatting Update test files to work with refactored TestRigBuilder that uses AppBuilder::build_all() (removing with_tools/with_workspace methods). Update telegram_check fixture to use tool_list instead of echo. Fix cargo fmt issues in src/llm/mod.rs and src/llm/recording.rs. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(test): deduplicate support unit tests into single binary Support modules (assertions, cleanup, test_channel, test_rig, trace_llm) had #[cfg(test)] mod tests blocks that were compiled and run 12 times — once per e2e test binary that declares `mod support;`. Extracted all 29 support unit tests into a dedicated `tests/support_unit_tests.rs` so they run exactly once. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix trailing newlines in support files Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(test): unify trace types and fix recorded multi-turn replay Import shared types (TraceStep, TraceResponse, TraceToolCall, RequestHint, ExpectedToolResult, MemorySnapshotEntry, HttpExchange*) from ironclaw::llm::recording instead of redefining them in trace_llm.rs. Fix the flat-steps deserializer to split at UserInput boundaries into multiple turns, instead of filtering them out and wrapping everything into a single turn. This enables recorded multi-turn traces to be replayed as proper multi-turn conversations via run_trace(). [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): fix CI failures - unused imports and missing struct fields - Add #[allow(unused_imports)] on pub use re-exports in trace_llm.rs (types are re-exported for downstream test files, not used locally) - Add `..` to ToolCompleted pattern in test_channel.rs to match new `error` and `parameters` fields Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): fix CI failures after merging main - Add missing `error` and `parameters` fields to ToolCompleted constructors in support_unit_tests.rs - Add `..` to ToolCompleted pattern match in support_unit_tests.rs - Add #[allow(dead_code)] to CleanupGuard, LlmTrace impl, and TraceLlm impl (only used behind #[cfg(feature = "libsql")]) Co-Authored-By: Claude Opus 4.6 <[email protected]> * Adding coverage running script * fix(test): address review feedback on E2E test infrastructure - Increase wait_for_responses polling to exponential backoff (50ms-500ms) and raise default timeout from 15s to 30s to reduce CI flakiness (#1) - Strengthen prompt_injection_resilience test with positive safety layer assertion via has_safety_warnings(), enable injection_check (#2) - Add assert_tool_order() helper and tools_order field in TraceExpects for verifying tool execution ordering in multi-step traces (#3) - Document TraceLlm sequential-call assumption for concurrency (#6) - Clean up CleanupGuard with PathKind enum instead of shotgun remove_file + remove_dir_all on every path (#8) - Fix coverage.sh: default to --lib only, fix multi-filter syntax, add COV_ALL_TARGETS option - Add coverage/ to .gitignore - Remove planning docs from PR [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review - use HashSet in retain_only, improve skill test - Use HashSet for O(N+M) lookup in SkillRegistry::retain_only and ToolRegistry::retain_only instead of linear scan - Strengthen test_retain_only_empty_is_noop in SkillRegistry to pre-populate with a skill before asserting the no-op behavior [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(test): revert incorrect safety layer assertion in injection test The safety layer sanitizes tool output, not user input. The injection test sends a malicious user message with no tools called, so the safety layer never fires. Reverted to the original test which correctly validates the LLM refuses via trace expects. Also fixed case-sensitive request hint ("ignore" -> "Ignore") to suppress noisy warning. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: clean stale profdata before coverage run Adds `cargo llvm-cov clean` before each run to prevent "mismatched data" warnings from stale instrumentation profiles. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting in retain_only test [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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18b59ae9a7 |
feat: add OAuth support for WASM tools in web gateway (#489)
* feat: add OAuth support for WASM tools in web gateway Extract reusable OAuth functions (build_oauth_url, exchange_oauth_code, store_oauth_tokens, validate_oauth_token) from CLI into shared oauth_defaults module, then wire them into the web gateway's ExtensionManager. Key changes: - Install auto-activates WASM tools (no separate Activate button) - Configure button triggers OAuth flow via save_setup_secrets - Scope merging: installing a second Google tool triggers re-auth with merged scopes from all tools sharing the same secret_name - Cancel-and-retry: aborting stale OAuth listeners prevents port conflicts - Post-auth validation: wrong account detected via validation_endpoint - Reconfigure always re-auths (deletes old token before starting fresh) - UI shows error toast on OAuth failure, refreshes extension list Flow: Install → Active → Configure (enter client_id/secret) → Save → OAuth popup → authorize → done. Second Google tool install auto-triggers scope expansion OAuth. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address PR review comments - Add custom headers support to ValidationEndpointSchema (fixes missing Notion-Version header regression) - Guard activate handler auth check with status == "awaiting_authorization" to prevent unexpected OAuth popups - Add window dimensions to OAuth popup in activateExtension() - Simplify UTF-8 truncation boundary check Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address Copilot PR review comments (security, UX, bugs) - Add CSRF state parameter to OAuth flow (random state in auth URL, validated in callback) - Restore MCP server Activate button in web UI (was hidden for all non-channel extensions) - Abort JoinHandle in cleanup_expired_auths to prevent port 9876 conflicts - Fix Google-specific error message for non-Google OAuth providers - Add has_auth field to ExtensionInfo API response (fixes Configure button visibility) - Use oauth_defaults::callback_url() instead of hardcoded redirect_uri (both CLI and manager) - Update auth check comment to match actual behavior (scope expansion + first-time auth) - Add unit tests for build_oauth_url (basic, PKCE, extra params, state uniqueness) - Check all required setup secrets (client_id + client_secret) before starting OAuth Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> |
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f18fb5173b |
feat(web): fix jobs UI parity for non-sandbox mode (#491)
* feat(web): fix jobs UI parity for non-sandbox mode The web gateway Jobs UI was built primarily for sandbox (Docker) jobs. When running without sandbox (common for NEAR AI hosted envs), multiple features were broken. This change fixes all of them: - Agent jobs now broadcast live SSE events to the web UI (Activity tab) - Agent job restart via scheduler.dispatch_job (not chat message) - Follow-up prompts for agent jobs via WorkerMessage injection - Capability flags (can_restart, can_prompt, job_kind) in job detail API - Rate-limit retry with cap (10 consecutive) and Retry-After header parsing - Plan interruption on user message (breaks out of plan, re-evaluates) - Correct SSE status field in mark_completed/mark_failed/mark_stuck - SseManager preserved across rebuild_state calls Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * style: fix formatting in db/mod.rs and nearai_chat.rs Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> |
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ibhagwanandGitHub
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c592a8f2de | feat: add IRONCLAW_BASE_DIR env var with LazyLock caching (#397) | ||
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a24fd3e8a3 |
Add automated QA: schema validator, CI matrix, Docker build, and P1 test coverage (#353)
* Add automated QA: tool schema validator, feature-flag CI matrix, Docker build P0 items from the automated QA plan (#352): - Add validate_tool_schema() that checks OpenAI strict-mode rules (type: object, required keys in properties, nested object/array recursion) with 10 unit tests and 6 integration tests covering all core built-in tools - CI test matrix now runs with --all-features, default features, and --no-default-features --features libsql to catch dead code behind wrong cfg gates - CI clippy now runs the same 3-feature matrix with --all flags - Docker build job added to catch missing files in Dockerfile Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add P1 automated QA tests and fix LeakDetector prefix shadowing bug P1 test coverage: config round-trip (settings + bootstrap), shell tool arg handling, safety adversarial tests (sanitizer, leak detector, allowlist), turn persistence (conversations, metadata, pagination, jobs), and a clippy fix for libsql-only builds. Fixed a real bug where AhoCorasick non-overlapping prefix iteration caused shorter prefixes (e.g. "sk-") to shadow longer ones (e.g. "sk-ant-api"), preventing Anthropic API key and SSH private key detection. Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add P2 automated QA tests: chaos, lifecycle, collision, and recovery Cover all P2 items from the automated QA plan: - Circuit breaker chaos tests (hanging provider, rapid cycles, mixed errors) - Failover chaos tests (hanging failover, all-fail, tools path, single provider) - Value estimator boundary tests (negative cost, zero price, zero earnings) - Context length recovery test (ContextLengthExceeded -> compact -> retry) - WASM channel lifecycle tests (write/commit/read round-trip, namespace isolation) - Extension registry collision tests (same-name different-kind coexistence) - Extension filesystem collision tests (separate dirs, detect_kind priority) Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add P3 concurrent stress tests for ContextManager and SessionManager Tests verify thread safety of double-checked locking, TOCTOU prevention, and RwLock-based concurrent access patterns under load. Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add dispatcher loop guard and self-repair stuck job tests Dispatcher: test force_text mechanism prevents infinite tool call loops, verify iteration bound arithmetic guarantees termination for all configs. Self-repair: test stuck job detection, recovery within attempt limits, manual escalation when limit exceeded, graceful degradation without store/builder dependencies. Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add E2E testing infrastructure design doc Python + Playwright framework with mock LLM server for deterministic browser-level testing of the web gateway. Covers connection/auth, chat round-trip with SSE streaming, and skills lifecycle scenarios. Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add E2E testing infrastructure implementation plan 10-task plan covering: scaffolding, mock LLM server, helpers, conftest fixtures, connection/chat/skills test scenarios, CI workflow, README, and integration run. Co-Authored-By: Claude Opus 4.6 <[email protected]> * scaffold: E2E test project with pyproject.toml Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: E2E helpers with DOM selectors and port discovery Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: mock OpenAI-compat LLM server for E2E tests Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: E2E conftest with session fixtures for mock LLM and ironclaw Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: E2E scenario 1 -- connection and tab navigation tests Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: E2E scenario 2 -- chat message round-trip tests Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: E2E scenario 3 -- skills search, install, remove tests Co-Authored-By: Claude Opus 4.6 <[email protected]> * ci: add weekly E2E test workflow with Playwright Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: E2E test README with setup and usage instructions Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: E2E test integration fixes from first run - Use temp file DB instead of :memory: (libSQL :memory: doesn't persist tables across execute_batch) - Fix installed skills selector: #skills-list not #installed-skills - Add pytest-timeout to dependencies - Improve skills install/remove test with wait_for instead of fixed sleeps 8 passed, 1 skipped (skills install depends on ClawHub availability) Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add OpenAI strict-mode schema validator for all built-in tools (QA 1.1) Add src/tools/schema_validator.rs with validate_strict_schema() that checks tool parameter schemas against OpenAI function calling strict-mode rules: type object at top level, required keys in properties, enum type consistency, array items definitions, nested object recursion, and additionalProperties. 17 tests validate all 34+ built-in tool schemas across 5 test groups: - 9 simple tools (echo, time, json, http, shell, file read/write/list/patch) - 4 job tools (create, list, status, cancel) - 4 skill tools (list, search, install, remove) - 13 inline schemas for extension, routine, and complex job tools - 4 memory tool schemas Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add E2E scenarios for SSE reconnect, HTML injection, and tool approval (QA 3.3/5/6) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: E2E test reliability for HTML injection and SSE reconnect - HTML injection: test sanitization directly via JS injection instead of depending on full LLM round-trip (avoids intermittent 404 from mock) - SSE reconnect: increase wait times for DB persistence and relax assertion to check total message count after history reload Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt formatting Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add WASM and MCP tool schema validation tests (QA 1.1) Extends the schema validator with representative WASM tool schemas (weather, HTTP client, batch processor, status), MCP tool schemas (default, file read, SQL query, strict mode), and defect detection tests for common external schema issues (missing type, typo in required, array without items, enum type mismatch). Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add auth middleware and compaction module tests Auth middleware (8 new tests): valid/invalid bearer tokens, query param fallback, case sensitivity, empty tokens, whitespace handling. Compaction module (16 new tests): truncation strategy, summarize strategy with mock LLM, workspace fallback, format_turns helper, sequential compactions, coherence after compaction, token decrease verification. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add config round-trip integration tests (QA 1.2) Test the full bootstrap .env lifecycle: write via the same format as save_bootstrap_env/upsert_bootstrap_var, read back via dotenvy, and assert values match. Covers LLM backend selection, embedding disable flag, onboard completion flag, session token keys, multi-key preservation across upsert, and special characters (spaces, equals, quotes, backslashes, hashes). Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add value estimator boundary tests and dispatcher loop guard (QA 4.3/4.4) Value estimator (14 new tests): zero/negative prices, large values, negative cost, exact margin boundaries, custom margin configuration. Dispatcher loop guard (2 new tests): verifies the dispatch loop terminates when all tool calls fail (regression guard for PR #252 infinite loop) and when max iterations are reached. Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add failover edge cases and provider chaos tests (QA 2.6/4.1) Failover edge cases (4 new tests): cooldown at zero nanos, half-open failure reopens circuit, all providers fail gracefully (no panic), single failing provider with cooldown. Provider chaos tests (15 new tests): flakey provider with retries, hanging provider with timeout, garbage provider, circuit breaker trip/recover, failover chain cascading, non-transient error stops chain, full stack integration (retry + failover + circuit breaker). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback on QA tests - Fix Bearer auth case-sensitivity per RFC 6750 (auth.rs) - Refactor bootstrap.rs to expose path-parameterized variants so config_round_trip tests call real code instead of reimplementations - Remove deprecated event_loop fixture, use dynamic ports, minimal env, session-scoped browser, and wire HEADED=1 in E2E conftest - Add cross-referencing doc comments between schema validators - Simplify array validation logic in tool.rs - Bump e2e.yml checkout@v4 to @v6 Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt and fix clippy warning in signal.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: improve E2E fixture error reporting and prevent stdin blocking - Add --no-onboard flag to prevent wizard from blocking in CI - Pipe /dev/null to stdin to prevent any stdin reads from hanging - Add RUST_BACKTRACE=1 for crash diagnostics - On server startup timeout, dump stderr to pytest output so CI logs show why the server failed to start Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: set session-scoped event loop for E2E async fixtures pytest-asyncio 1.3.0 defaults asyncio_default_fixture_loop_scope to None (function scope), causing session-scoped async fixtures to be re-evaluated per test function with independent event loops. Each test then independently attempts to start the ironclaw server, times out at 120s, and wastes ~24 minutes of CI before the job is cancelled. Setting asyncio_default_fixture_loop_scope = "session" ensures all session-scoped async fixtures share a single event loop, so the server starts once and is reused across all tests. Also adds -x flag to pytest in CI to stop on first failure instead of running all 19 tests when the fixture is broken. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: set test loop scope to session to match fixture loop scope With asyncio_default_fixture_loop_scope=session but asyncio_default_test_loop_scope=function (the default), tests run on a per-function event loop while fixtures produce objects (Playwright pages, browser contexts) on the session event loop. This event loop mismatch causes the test to hang indefinitely awaiting Playwright operations that are bound to the wrong loop. Setting both scopes to "session" ensures a single event loop is shared across all fixtures and tests, eliminating the deadlock. Co-Authored-By: Claude Opus 4.6 <[email protected]> * ci: add roll-up jobs to match branch protection required checks Branch protection expects "Code Style (fmt + clippy)" and "Run Tests" status checks, but only individual job names were reported. Add roll-up jobs that aggregate results and report the expected names. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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ibhagwanandGitHub
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bf35b59222 |
feat(signal) attachment upload + message tool (#375)
* feat(channels/signal): add attachment upload support
- Add attachments field to OutgoingResponse for carrying file paths
- Add with_attachments() builder method to OutgoingResponse
- Update build_rpc_params() to include attachments array in JSON-RPC
- Update respond() and broadcast() to handle attachments:
- Text + attachments: sends text first, then each attachment
- Attachments only: sends each attachment with path as message
- Text only: original behavior (no change)
- Add tests for build_rpc_params with attachments
- Add tests for OutgoingResponse attachment builder
This enables the Signal channel to send files via signal-cli daemon's
JSON-RPC send method, matching the nullclaw implementation.
Risk: Low - uses existing JSON-RPC infrastructure
Tests: 85 signal tests pass, 1543 lib tests pass
* feat(tools): add message tool for cross-channel messaging
Add a new 'message' tool that allows the agent to send messages to
any connected channel (signal, telegram, slack, etc.) with optional
file attachments.
Features:
- Send messages to specific channel + target combinations
- Support for attachments (file paths)
- E.164 validation delegated to channel (signal expects +number,
telegram accepts username/chat_id, slack uses #channels)
- Helpful error messages showing available channels on failure
Tool schema:
- content: message text (required)
- channel: target channel name (optional, defaults to current channel)
- target: recipient (E.164, group ID, chat ID) (optional, defaults to
current user/group chat)
- attachments: optional file paths to send
This complements the recently added attachment upload support for the
Signal channel by giving the agent a proper way to specify attachments
when sending messages.
Tests: 4 new tests for message tool schema
Risk: Low - new tool with no breaking changes
Tests: All 1547 lib tests pass, clippy clean
* feat(llm): add conversation context to system prompt for Signal
Add conversation_context HashMap to Reasoning struct to pass channel-specific
metadata (sender phone, sender UUID, group ID) to the LLM. This helps the
agent know who/group it's talking to, preventing it from hallucinating
phone numbers or sending to wrong recipients.
Changes:
- Add conversation_context field and with_conversation_data() builder method
- Add build_conversation_section() to include current conversation info in system prompt
- Update dispatcher to extract Signal metadata (sender, sender_uuid, group) and pass to Reasoning
- Add signal_sender_uuid to Signal channel metadata for privacy mode users
* feat(tools): add secure attachment path validation with sandbox enforcement
Implement robust path validation for message tool attachments to prevent
directory traversal attacks and unauthorized file access. Attachments are
now sandboxed to ~/.ironclaw/ by default.
Key changes:
- Create shared path_utils module with validate_path() and is_path_safe_basic()
- Extract normalize_lexical() from file.rs for reuse
- MessageTool now enforces sandbox at ~/.ironclaw/ for all attachments
- Path validation includes: traversal detection, canonicalization, symlink resolution
- Error messages reveal the allowed sandbox directory for user clarity
Security improvements:
- Blocks path traversal attacks (../, URL-encoded, null bytes)
- Canonicalizes paths to resolve symlinks before validation
- Walks up to nearest existing ancestor for non-existent paths
- Prevents escape from sandbox directory
Backward compatibility:
- File tools continue to work with their configured base_dir
- Message tool defaults to ~/.ironclaw/ sandbox
- Tests updated to create files within sandbox
Tests added:
- path_utils module tests (9 tests for validation logic)
- message tool attachment validation tests
- All 1571 existing tests pass
* fix(channels/signal): use robust path validation with full security coverage
Signal channel's validate_attachment_paths() now uses path_utils::validate_path()
for consistent, secure path validation.
Fixes:
- Replaced weak path.contains('..') check with robust validate_path()
- validate_path() now includes is_path_safe_basic() as first-pass filter to
block null bytes and URL-encoded traversal sequences (%2e%2e%2f)
- Error message now shows allowed sandbox directory (~/.ironclaw/)
Security coverage:
- Path traversal: ../, foo/../bar, ../../etc/passwd ✓
- URL-encoded traversal: %2e%2e%2fetc/passwd ✓
- Null byte injection: file\0.txt ✓
- Paths outside sandbox: /tmp/evil.txt ✓
- Symlink escape attempts (via canonicalization) ✓
Tests added:
- validate_attachment_paths_rejects_path_outside_sandbox
- validate_attachment_paths_rejects_url_encoded_traversal
- validate_attachment_paths_rejects_null_byte
- Fixed broken assertion in rejects_double_dot test
* fix(llm): add Signal channel to build_channel_section to include message tool hint
The catch-all '_' arm was returning early before the message_tool_hint
section was constructed, which meant Signal users never got the
'## Proactive Messaging' section with examples for:
- Using attachments parameter
- Targeting different users/groups
- Cross-channel messaging
Now Signal will include the full message_tool_hint section with usage examples.
* fix(tools): use async locks in register_message_tools to prevent silent failures
The method was using register_sync which calls try_write() on self.tools.
If the lock was held, try_write() would return Err and silently skip
adding the tool to the registry, while self.message_tool already held
a reference. This creates an inconsistent state.
Fix: use async write locks directly instead of register_sync to ensure
the tool is always registered or the method fails explicitly.
* refactor(dispatcher): use Channel trait for conversation context
Replace hardcoded 'if message.channel == signal' block with generic
conversation_context() method on the Channel trait. This allows any
channel to provide context (sender, group, etc.) without hardcoding
channel names.
Changes:
- Add conversation_context() method to Channel trait (default: empty)
- Implement for SignalChannel: extracts sender, sender_uuid, group
- Add get_channel() to ChannelManager (returns Arc<dyn Channel>)
- Change ChannelManager storage from Box to Arc for shared access
- Update dispatcher to use new trait method
- Add tests for conversation_context extraction
Other channels (Telegram, Slack, Discord) can now implement this
method to provide conversation context without code changes in dispatcher.
* fix(tests): split message_tool_with_attachments into sandbox and channel tests
The original test was passing for the wrong reason - it expected an error
because the channel doesn't exist, but actually failed earlier during sandbox
validation because /tmp paths are outside ~/.ironclaw/.
Split into two tests:
- message_tool_with_attachments_outside_sandbox: verifies sandbox rejection
with explicit error message check
- message_tool_with_attachments_inside_sandbox_no_channel: uses files within
sandbox (like message_tool_passes_attachment_to_broadcast does) and verifies
the channel-related error message
* security(message tool): add rate limiting, approval requirements, and audit logging
The message tool can send to ANY connected channel/target making it a significant
abuse vector if the LLM is compromised or prompt-injected. This commit adds:
1. Rate limiting: 10 messages/minute, 100/hour per user
2. Approval requirement: Always requires approval for cross-channel messages
(when channel differs from the default conversation channel)
3. Audit logging: Every successful message send is logged with channel,
target, and attachment count
The approval logic:
- If channel param is provided and differs from default -> Always require approval
- If no default channel is set and explicit channel provided -> Always require approval
- Otherwise (using default channel) -> UnlessAutoApproved
* fix(message tool): return explicit error for malformed attachments array
Previously, malformed attachments like {"attachments": [123, true]} would be
silently ignored via .ok().unwrap_or_default(), leaving users confused
when attachments weren't sent.
Now returns explicit error: "Invalid attachments format: ..."
* fix(message tool): verify attachment files exist before sending
Previously, non-existent paths would pass sandbox validation and surface
as confusing Signal RPC errors. Now returns clear "Attachment file not found" error.
* fix(test): create sandbox directory if it doesn't exist for CI
The test validate_attachment_paths_accepts_normal_paths uses
tempfile::tempdir_in() which requires the parent directory to exist.
In CI, ~/.ironclaw doesn't exist, causing test failure.
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ea57447649 |
feat: hot-activate WASM channels, channel-first prompts, unified artifact resolution (#297)
* refactor: unify WASM artifact resolution into registry/artifacts.rs Consolidate duplicated WASM find/build/install logic from 5+ files into a single src/registry/artifacts.rs module. This fixes two bugs: - registry/installer.rs now respects CARGO_TARGET_DIR (was hardcoded) - channels/wasm/bundled.rs now searches all WASM triples (was wasip2 only) Also includes: extension manager hot-activation for WASM channels, extension guidance in LLM prompts, channel manager hot-add support, webhook router channel lookup, and minor cleanups. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: send approval prompts as messages on WASM channels (Telegram, Slack) WASM channels mapped ApprovalNeeded status to a typing indicator, so users on Telegram never saw tool approval prompts — the agent got stuck in AwaitingApproval and all subsequent messages failed with "Waiting for approval". - Intercept ApprovalNeeded in WasmChannel::handle_status_update and send the prompt as an actual message via call_on_respond, showing tool name, description, parameters, and yes/no/always instructions - Guard against empty LLM responses after clean_response() strips reasoning_content think-tags (defense-in-depth for reasoning models) - Add reasoning_content fallback to NearAiChatProvider::complete() for consistency with complete_with_tools() - Add debug logging when empty responses are suppressed - Improve error logging for channel respond() failures - Register WASM channel webhook routes before credential checks so platforms don't deactivate webhook URLs with 404s Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #297 review comments - ChannelManager::add: use async write().await instead of try_write() - resolve_target_dir: resolve relative CARGO_TARGET_DIR against crate_dir - install_wasm_files: log warning on capabilities copy failure - refresh_active_channel: load capabilities file for webhook secret name - activate_wasm_channel: validate name against path traversal - Fix cargo fmt formatting in nearai_chat.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: wire up channel runtime for hot-activation and address PR review round 2 - Wire up set_channel_runtime() in main.rs so hot-activation actually works (with_channel_runtime was never called — hot-activation was dead code) - Change ExtensionManager channel runtime fields to RwLock<Option<...>> interior mutability so set_channel_runtime(&self) works after Arc wrapping - Fix artifact tests to use resolve_target_dir() instead of hardcoding "target/" (breaks when CARGO_TARGET_DIR is set) - Fix bundled.rs build hint: cargo component build (not cargo build --target) - Fix wasm_artifact_path doc: binary_name should not include .wasm extension Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use char-aware truncation to prevent UTF-8 panic in approval prompt &s[..77] panics on multi-byte UTF-8 (CJK, emoji). Use s.chars().take(77) for safe truncation at character boundaries. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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c3ce26278a |
refactor: simplify config resolution and consolidate main.rs init (#287)
* refactor: simplify config resolution and consolidate main.rs init into AppBuilder - Add parse_bool_env() and parse_string_env() helpers to eliminate repetitive 5-line optional_env/parse/map_err/unwrap_or boilerplate across 12 config files - Add EmbeddingsConfig::create_provider() to centralize embeddings construction (fixes hardcoded 1536 dimensions and missing Ollama provider in app.rs) - Extract init_cli_tracing(), setup_wasm_channels(), start_tunnel(), run_memory_command(), run_worker(), run_claude_bridge() from main.rs - Replace ~600 lines of inline init in main.rs with AppBuilder::build_all() - Expose catalog_entries from AppComponents for gateway registry entries - Net reduction: ~738 lines across 15 files Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: propagate dev_loaded_tool_names from AppBuilder and add parse_option_env helper Address PR review feedback: - Capture dev_loaded_tool_names from WASM loading in init_extensions() and expose via AppComponents so bootstrap_hooks receives the actual dev tool names instead of an empty slice (fixes silent hook skip) - Add parse_option_env<T>() helper for Option<T> config fields, simplifying max_cost_per_day_cents and max_actions_per_hour in agent.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: fetch real NEAR AI pricing and unify cost calculation path CostGuard was independently looking up pricing via costs::model_cost(), falling back to GPT-4o default rates when NEAR AI model names didn't match the static table — causing ~3x cost overestimates in logs. - Add pricing map to NearAiChatProvider that fetches real rates from /v1/model/list at startup (background, non-blocking) - Update cost_per_token() to check fetched pricing first, then static table, then default - Add cost_per_token parameter to CostGuard::record_llm_call() so the dispatcher passes provider-sourced rates directly Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: update default NEAR AI model to GLM-latest Replace fireworks llama4-maverick-instruct-basic with zai-org/GLM-latest as the default model in config and setup wizard. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: align wizard default model name with config Change "zai/GLM-latest" to "zai-org/GLM-latest" in wizard.rs to match the default in config/llm.rs. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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37c0158765 |
Fix: allow OAuth callback to work on remote servers (fixes #186) (#212)
* fix: allow OAuth callback to work on remote servers via OAUTH_CALLBACK_HOST Fixes #186. The OAuth callback URL was hardcoded to `http://127.0.0.1:9876` in two places (NEAR AI login and MCP server auth). On a remote server this URL is unreachable from the user's browser, making authentication impossible. Changes: - Add `callback_host()` to `oauth_defaults` that reads `OAUTH_CALLBACK_HOST` (default: `127.0.0.1`) - Update `bind_callback_listener()` to bind to `0.0.0.0` when a non-loopback host is configured, so the port is reachable from outside the machine - Update `session.rs` and `mcp/auth.rs` to use `callback_host()` instead of hardcoded `127.0.0.1` / `localhost` Usage on a remote server: export OAUTH_CALLBACK_HOST=<your-server-ip> ironclaw login * fix: address PR review comments for OAuth callback security * fix: address serrrfirat review comments on PR #212 --------- Co-authored-by: firat.sertgoz <[email protected]> |
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48b5323ec9 |
feat: group chat privacy, channel-aware prompts, and safety hardening (#285)
Prevent personal memory (MEMORY.md) from leaking into group chat contexts by adding system_prompt_for_context(is_group_chat) to the workspace. Add channel-specific formatting hints (Discord, Telegram, Slack, WhatsApp), runtime metadata injection, group chat behavioral guidance with NO_REPLY silent token, safety rules in the system prompt, tool call style guidance, wrap_external_content() for untrusted data, and improved workspace seed files with richer identity/soul/agent templates and heartbeat checklist. Co-authored-by: Claude Opus 4.6 <[email protected]> |
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493e4578d0 |
feat: support custom HTTP headers for OpenAI-compatible provider (#269)
Add LLM_EXTRA_HEADERS env var (format: Key:Value,Key2:Value2) to inject custom HTTP headers into every request to OpenAI-compatible endpoints. This enables OpenRouter attribution headers (HTTP-Referer, X-Title) and other service-specific headers without code changes. Closes #179 Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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c038c7705b |
feat: add smart routing provider for cost-optimized model selection (#281)
* feat: add smart routing provider for cost-optimized model selection Route simple tasks (greetings, status checks, short questions) to a cheap model (e.g. Haiku) and complex tasks (code generation, analysis) to the primary model, reducing agent costs without sacrificing quality. Activates automatically when NEARAI_CHEAP_MODEL is set. Cascade mode retries uncertain cheap-model responses with the primary model. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: apply cargo fmt formatting Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: extract provider chain into shared build_provider_chain() Consolidate the duplicated LLM provider chain construction from main.rs and app.rs into a single build_provider_chain() function in llm/mod.rs. This fixes the inconsistency where app.rs was missing retry wrapping that main.rs had, and ensures both paths apply identical decorators: retry → smart routing → failover → circuit breaker → cache. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review — uncertainty detection and clippy lint - Remove false-positive short response (<20 chars) uncertainty check that would escalate "Yes.", "42" etc. Now only empty responses and explicit uncertainty phrases trigger cascade escalation. - Add #[allow(clippy::type_complexity)] to build_provider_chain() to fix CI clippy -D warnings failure. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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98ee648fcb |
perf: speed up startup from ~15s to ~2s (#280)
Three high-impact changes eliminate most startup latency: 1. Enable wasmtime persistent compilation cache — call cache_config_load_default() so compiled native code is serialized to disk (~/.cache/wasmtime). Subsequent startups deserialize instead of recompiling, dropping the WASM phase from ~13s to <1s. 2. Cache compiled Component in PreparedModule — store the compiled wasmtime::component::Component directly instead of raw bytes. Eliminates ~2.6s recompilation on every first tool/channel execution. 3. Move blocking housekeeping to background tasks — embedding backfill (~1.3s of failing HTTP calls) and stale job cleanup are fire-and-forget work that no longer blocks the critical startup path. Also: deduplicate Workspace creation in main.rs (two identical instances reduced to one), and replace leftover println! in session validation with tracing calls. Co-authored-by: Claude Opus 4.6 <[email protected]> |
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448383cfb0 |
refactor: remove Responses API, consolidate to Chat Completions (#272)
* fix: strip reasoning from LLM responses and persist assistant messages reliably - Filter out `type: "reasoning"` output items from NEAR AI Responses API parsing so chain-of-thought never reaches the UI (nearai.rs) - Rewrite clean_response with regex-based tag stripping that is code-aware (preserves tags inside fenced blocks and inline backticks), supports 9+ tag names (think, thought, reasoning, reflection, etc.), handles <final> extraction, pipe-delimited tags, and case/whitespace tolerance (reasoning.rs) - Add Reasoning::complete() helper so all non-agentic LLM call sites (summarize, suggest, heartbeat, compaction) get automatic response cleaning; thread SafetyLayer through to those callers - Change persist_turn from fire-and-forget tokio::spawn to awaited async so both user and assistant messages are written before returning, preventing data loss on shutdown/restart - Pass input_count through seed_response_chain so response chaining delta calculation is accurate after thread hydration on restart - Make NearAiResponse.usage optional and preserve response_id in alt response path for chaining continuity - Persist session token to DB during onboarding wizard so runtime loads it without legacy-key fallback; suppress spurious warning on fresh installs - Fix dev tool double-registration when builder already registers them - Load dotenv/ironclaw env for doctor and status subcommands - Reduce startup log noise (demote info→debug for skills, remove redundant info lines) Co-Authored-By: Claude Opus 4.6 <[email protected]> * Nudge to not loop over tools continuesly * refactor: remove Responses API, consolidate NEAR AI to Chat Completions only The Responses API provider (nearai.rs, 1278 lines) added significant complexity (response chaining state machine, delta message calculation, previous_response_id persistence) for marginal benefit. This consolidates to the Chat Completions API only, upgrading NearAiChatProvider with dual auth (session token + API key) and 401 retry for session token renewal. - Delete src/llm/nearai.rs (Responses API provider) - Upgrade nearai_chat.rs with SessionManager, dual auth, flexible list_models - Remove response_id from CompletionResponse and ToolCompletionResponse - Remove seed_response_chain/get_response_chain_id from LlmProvider trait - Remove response chain persistence from agent (thread_ops, session) - Remove NearAiApiMode enum and NEARAI_API_MODE config - Clean up all wrapper providers (retry, circuit_breaker, failover, cache) - Update documentation (CLAUDE.md, .env.example) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: runtime log level control via gateway UI and URL parameter Add server-side log level switching using tracing_subscriber::reload::Layer so the EnvFilter can be swapped at runtime without restarting. Expose via GET/PUT /api/logs/level endpoints, a "Server: LEVEL" dropdown in the logs toolbar, and a ?log_level=debug URL parameter for one-click activation. Also applies cargo fmt to pre-existing files (llm/, tests/). Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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5725a62c83 |
fix: onboarding errors reset flow and remote server auth (#185, #186) (#248)
* fix: incremental settings persistence and remote server auth (#185, #186) Persist settings after each wizard step so failures don't lose prior progress. Load existing settings on re-run to recover from partial onboarding. Add manual token paste option for remote/headless servers where browser OAuth is unreachable, and support IRONCLAW_OAUTH_CALLBACK_URL for custom callback URLs. Color prompt output (green/red/blue prefixes). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: replace session token paste with API key entry, address PR review Replace option 4 in NEAR AI auth menu from session token paste to NEAR AI Cloud API key entry (cloud.near.ai). Also address all PR review feedback: restrict .env file permissions to 0o600, mask API key input with secret_input, fix libsql loaded flag in try_load_existing_settings, add ENV_MUTEX to oauth_defaults tests, and add NEARAI_API_KEY to secrets injection. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: deduplicate keys in upsert_bootstrap_var When the .env file contains duplicate keys (e.g. from manual editing), only write the replacement once and skip subsequent duplicates. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: NEARAI_SESSION_TOKEN env var takes precedence over file-based tokens Hosting providers inject session tokens via env var and expect them to be used directly. Previously the env var was only picked up when no session file existed and was treated as a legacy migration. Now the env var always wins, without persisting to disk. Co-Authored-By: Claude Opus 4.6 <[email protected]> * docs: distinguish NEAR AI Chat and NEAR AI Cloud providers Split documentation into two clearly named modes: - NEAR AI Chat: Responses API at private.near.ai, session token auth - NEAR AI Cloud: Chat Completions API at cloud-api.near.ai, API key auth Update default base URLs so each mode points to its correct endpoint. Update .env.example, deploy/env.example, CLAUDE.md, setup spec, and code comments across config/llm.rs, nearai.rs, nearai_chat.rs, mod.rs. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: wizard recovery ordering — load DB before persist, fresh choices win Previously, persist_after_step() ran after Step 1 but before try_load_existing_settings(), bulk-upserting defaults that clobbered prior settings. Additionally, merge_from gave stale DB values precedence over fresh Step 1 choices. Fix: snapshot Step 1 settings, load DB, then re-apply the snapshot. This ensures prior progress (steps 2-7) is recovered while fresh Step 1 choices override stale DB values. Add two tests verifying wizard recovery merge ordering. Addresses PR review comments from Copilot on wizard.rs:150, wizard.rs:1607, and wizard.rs:1626. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix rustfmt formatting in config/llm.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: collapse nested if per clippy collapsible_if lint Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use print_success for API key confirmation, fix menu spacing - Use print_success() for colored output consistency in api_key_login - Fix box-drawing alignment: options 1-2 had an extra trailing space Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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bigguybobbyandGitHub
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dae26d640e |
feat(models): add GPT-5.3 Codex, full GPT-5.x family, Claude 4.x series, o4-mini (#197)
Fixes #184 — updates model selection, priority sort, and cost table to match current OpenAI and Anthropic model catalogs. OpenAI: GPT-5.3 Codex, GPT-5.2 Codex/Pro, GPT-5.1 Codex/Mini/Max, GPT-5/Mini/Nano, GPT-4.1/Mini/Nano, o4-mini, o3/Pro Anthropic: Claude Opus 4.6/4.5/4.1/4.0, Claude Sonnet 4.6/4.5/4.0, Claude Haiku 4.5, Claude 3.7 Sonnet, Claude 3.5 Haiku Also resolves stale merge-conflict markers in http.rs and json.rs. |
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097a26ace6 |
fix: harden openai-compatible provider, approval replay, and embeddings defaults (#237)
* fix: harden openai-compatible tool flow and local defaults * fix: close approval replay gaps and harden openai-compatible flow * fix: address review feedback and code improvements (takeover #112) - Make ChatCompletionResponse.id Optional<String> to handle providers that omit or null the field - Propagate HTTP client builder errors instead of silently dropping timeout configuration (openai_compatible_chat, nearai_chat) - Add EMBEDDING_DIMENSION env var with smart per-model defaults instead of hardcoding 768/1536 everywhere - Remove duplicated dimension inference logic from main.rs Co-Authored-By: panosAthDBX <[email protected]> Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: harden src/llm/ module from crate audit findings - Replace 9x .expect() on RwLock with graceful poison recovery (nearai.rs: 7, nearai_chat.rs: 2) — eliminates production panics - Propagate HTTP client builder errors in nearai.rs instead of silently dropping timeout config (NearAiProvider::new now returns Result) - Make nearai_chat ChatCompletionResponse.id Optional<String> (mirrors openai_compatible_chat.rs fix for providers that omit id) - Make nearai_chat usage fields optional with defensive parse_usage() helper (was required u32 fields that crash on null/missing) - Truncate error responses to 512 chars in nearai_chat.rs error messages to prevent log bloat and potential data leakage - Delegate 4 missing LlmProvider methods in FailoverProvider (model_metadata, seed_response_chain, get_response_chain_id, calculate_cost) to last-used provider instead of trait defaults Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(llm): add RetryProvider, remove openai_compatible_chat, harden decorators - Add composable RetryProvider decorator wrapping any LlmProvider with exponential backoff + jitter, respecting RateLimited retry_after hints - Remove openai_compatible_chat.rs — replaced by rig adapter + RetryProvider - Remove internal retry loop from nearai.rs (was causing double-retry with external RetryProvider, up to 16 attempts instead of 4) - Remove internal retry loop from nearai_chat.rs (same issue) - Wire RetryProvider into main.rs composition chain: each provider gets its own retry wrapper before failover - Move normalize_tool_name to rig_adapter.rs for all rig-based providers - Reconcile is_retryable() vs is_transient() error classification: ModelNotAvailable no longer retryable, Json no longer transient - Fix unchecked Duration subtraction panic in circuit_breaker.rs - Make failover.rs use shared is_retryable() from retry.rs - Remove stale #[allow(dead_code)] on NearAiResponse::id (field is used) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback — error handling, dimension validation, libSQL warning - Replace response.text().await.unwrap_or_default() with proper error propagation in nearai.rs and nearai_chat.rs (4 call sites). Failures now return LlmError::RequestFailed with context instead of silently proceeding with an empty string. - Add embedding dimension validation in OllamaEmbeddings::embed_batch(): returns EmbeddingError if Ollama returns embeddings with a dimension that doesn't match the configured value. - Add runtime warning when libSQL backend is used with non-1536 embedding dimension, since the libSQL schema uses F32_BLOB(1536) and cannot store different-dimension vectors. Co-Authored-By: Claude Opus 4.6 <[email protected]> * Apply suggestions from code review Co-authored-by: Copilot <[email protected]> --------- Co-authored-by: panosAthDbx <[email protected]> Co-authored-by: panosAthDBX <[email protected]> Co-authored-by: panosAthDBX <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Copilot <[email protected]> |
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ccf60055f4 |
feat: support per-request model override in /v1/chat/completions (#103)
* feat: support per-request model override for /v1/chat/completions - add optional model override to completion request types\n- forward request model through gateway, worker, and orchestrator proxy paths\n- use request model in NEAR AI providers with fallback to active model\n- replace model-mismatch integration test with override propagation checks\n- update FEATURE_PARITY.md note for OpenAI-compatible API behavior\n\nRefs #49 * Wire gateway OpenAI-compatible routes to active LLM provider * Validate OpenAI model name length before streaming * Address PR103 review feedback on model override and validation * Report effective model in OpenAI-compatible responses * Use async mutexes in OpenAI compatibility integration tests * fix tests for per-request model field in response cache * fix formatting and clippy lint after main merge * Fix model override reporting and cache correctness --------- Co-authored-by: Illia Polosukhin <[email protected]> |
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fd46cbd30d |
fix(rig): prevent OpenAI Responses API panic on tool call IDs (#182)
* fix(rig): prevent responses API panic on missing tool call IDs * style: format rig adapter * test(rig): add coverage for empty/whitespace tool call IDs Add tests for assistant tool calls with empty and whitespace-only IDs, and an end-to-end test documenting the seed mismatch limitation when both assistant call and tool result are missing IDs. * Apply suggestions from code review Co-authored-by: Copilot <[email protected]> --------- Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: Copilot <[email protected]> |
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AI-Reviewer-QSandGitHub
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8dbb0996da |
Fix division by zero panic in ValueEstimator::is_profitable (#139)
* fix: prevent division-by-zero panic in ValueEstimator::is_profitable Guard against Decimal division by zero when price is zero. rust_decimal::Decimal panics on division by zero (unlike f64 which returns infinity), so we short-circuit before the division. When price is zero, a job is only profitable if the estimated cost is negative (i.e., we get paid to do it). Add test covering zero-price scenarios including the negative cost edge case. * style: fix pre-existing rustfmt and clippy issues in llm module Fix formatting and lint issues that cause CI Code Style check to fail: - src/llm/mod.rs: fix method chain indentation - src/llm/rig_adapter.rs: collapse multi-line single-expression statements, fix collapsible_if clippy warning |
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c18f6730f8 |
fix: OpenAI tool calling — schema normalization, missing types, and Responses API panic (#132)
* fix: add missing type key to http tool body schema The body property in HttpTool::parameters_schema() was missing the required \"type\" key, causing OpenAI to reject all tool calls with: Invalid schema for function 'http' Fixes #131 * fix: add missing type key to json tool data schema Same class of bug as http tool body — the data property in JsonTool::parameters_schema() was missing the required "type" key, causing OpenAI to reject all tool calls. Fixes #131 * fix: use Chat Completions API to avoid rig-core Responses API panic The default openai::Client routes through rig-core's Responses API, which panics at "The tool call ID should exist!" because ironclaw doesn't thread call_id through its ToolCall type. Switch to openai::CompletionsClient which uses the Chat Completions API and works correctly with the existing code. * fix: normalize tool schemas for OpenAI strict mode compliance GPT-5/5.2 enforce strict function calling by default. Add normalize_schema_strict() that recursively transforms tool parameter schemas at the provider boundary: - Forces additionalProperties: false on all objects - Makes required list ALL property keys - Converts optional fields to nullable types - Handles nested objects, array items, and combinators Original schemas remain unchanged for other providers. Closes #131 --------- Co-authored-by: Illia Polosukhin <[email protected]> |
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ffb1cc9be8 |
refactor: architecture improvements for contributor velocity (#198)
* refactor: split large files and consolidate test stubs for contributor velocity - Extract 7 Database sub-traits (ConversationStore, JobStore, SandboxStore, RoutineStore, ToolFailureStore, SettingsStore, WorkspaceStore) with Database as a supertrait combining them all - Split libsql_backend.rs (2769 lines) into src/db/libsql/ directory with one file per sub-trait implementation - Split config.rs (1753 lines) into src/config/ directory with 16 domain files - Consolidate 3 duplicate test LLM stubs into shared StubLlm in src/testing.rs - Split server.rs handlers into src/channels/web/handlers/ directory - Extract main.rs init phases into AppBuilder (src/app.rs) - Add developer setup script (scripts/dev-setup.sh) Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: move heartbeat test from examples/ to tests/ Convert standalone example binary into a proper #[ignore] integration test, matching the convention of the other integration tests. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix rustfmt formatting for CI Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review comments from Copilot - tunnel.rs: replace .ok().flatten() with ? to propagate env var errors - secrets.rs: remove misleading "process-wide cache" comment - database.rs: use uppercase "DATABASE_URL" in error key - testing.rs: gate harness tests with #[cfg(feature = "libsql")] Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> |
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750a94030b |
fix: persist OpenAI-compatible provider and respect embeddings disable (#177)
* fix: persist OpenAI-compatible provider and respect embeddings disable (#129) Three interrelated bugs caused the agent to ignore user choices made during onboarding when using an OpenAI-compatible LLM provider: 1. Session auth ran before DB config reload, so Config::from_env() defaulted to NearAi and attempted Clerk auth before the real backend was known. Moved session auth to after final config resolution. 2. EmbeddingsConfig::resolve() force-enabled embeddings whenever OPENAI_API_KEY was present, ignoring the user's explicit disable. Changed to respect the stored setting as source of truth. 3. LLM_BACKEND was not saved to the bootstrap .env file, so Config::from_env() always defaulted to NearAi before the DB was connected. Now saves LLM_BACKEND, LLM_BASE_URL, and OLLAMA_BASE_URL alongside the database bootstrap vars. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add SAFETY comments and sanitize .env value escaping Address PR review feedback: - Add SAFETY comments to all unsafe env var manipulation in config tests (gemini-code-assist). - Escape backslashes and double quotes in save_bootstrap_env() to prevent env var injection via malicious URLs (gemini-code-assist). - Add test verifying injection attempt is neutralized. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: incorporate PR #138 changes (chat completions, model sorting, tool schemas) Includes all changes from bigguybobby's PR #138: - Use Chat Completions API for OpenAI-compatible providers (avoids Responses API assumptions like required tool call IDs) - Fall back to settings.selected_model when LLM_MODEL env var is unset - Update OpenAI model list (add gpt-5 family) with priority-based sorting - Add is_openai_chat_model() filter with broader exclusion patterns - Fix http tool: headers schema → array of {name,value}, body → string type, parse_headers_param() accepts both legacy object and array formats - Fix json tool: data schema → string type, parse_json_input() normalizer, validate uses strict string-only check - Add mutex-serialized config tests for env var manipulation - Update NEAR AI config comment for accuracy Co-Authored-By: Bobby (bigguybobby) <[email protected]> Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Bobby (bigguybobby) <[email protected]> |
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c3340c60ef |
fix: remove .expect() calls in FailoverProvider::try_providers (#156)
* fix: remove .expect() calls in FailoverProvider::try_providers (#155) Replace two .expect() calls with proper error propagation to comply with the project no-panic convention. Both were logically unreachable but would panic if invariants were broken by a future refactor. Closes #155 Co-Authored-By: Claude Opus 4.6 <[email protected]> * Apply suggestions from code review Co-authored-by: Copilot <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: Copilot <[email protected]> |
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3669a7b1cd |
fix: sentinel value collision in FailoverProvider cooldown (#125) (#154)
ProviderCooldown used 0 as both the "not in cooldown" sentinel and a valid timestamp from now_nanos(), so activate_cooldown(0) would silently fail to activate. Store max(now_nanos, 1) to keep 0 reserved. Closes #125 Co-authored-by: Claude Opus 4.6 <[email protected]> |
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96d5fc0d39 |
feat: add Tinfoil private inference provider (#62)
* feat: add Tinfoil private inference provider Add a dedicated Tinfoil LLM backend (`LLM_BACKEND=tinfoil`) for Tinfoil's private inference service (https://tinfoil.sh). The existing `openai_compatible` backend cannot be used with Tinfoil because rig-core 0.30.0 defaults to the OpenAI Responses API (`/v1/responses`), which Tinfoil does not support — it only implements the Chat Completions API (`/v1/chat/completions`), returning 403 "shim: path not allowed" when hit on the responses endpoint. Rather than changing `openai_compatible` to use Chat Completions (which would break users expecting the Responses API), this adds a dedicated provider that explicitly uses rig's `.completions_api()` client. This also lays the groundwork for integrating Tinfoil's privacy wrapper client (enclave attestation, TLS certificate pinning) once their Rust SDK is available. The provider implementation can be swapped to use the Tinfoil Rust client without changing the LlmProvider interface. Configuration: LLM_BACKEND=tinfoil TINFOIL_API_KEY=tk_... TINFOIL_MODEL=kimi-k2-5 # optional, default * style: fix rustfmt formatting in Tinfoil provider * style: remove unnecessary tin_foil alias for Tinfoil backend * Update src/llm/mod.rs Co-authored-by: Copilot <[email protected]> * fix: add tinfoil field to LlmConfig test fixture * style: fix rustfmt output in session manager --------- Co-authored-by: firat.sertgoz <[email protected]> Co-authored-by: Copilot <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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cfb579a4bb |
feat: Add PR review tools, job monitor, and channel injection for E2E sandbox workflows (#57)
* feat: Add PR review tools, job monitor, and channel injection for E2E sandbox workflows Adds JobEventsTool and JobPromptTool so the main agent can read container event logs and send follow-up prompts to running Claude Code sessions. A background JobMonitor forwards container assistant messages into the agent loop via a new inject channel on ChannelManager. CreateJobTool now accepts a project_dir parameter for mounting existing cloned repos into containers, and spawns the monitor automatically for async jobs. Also: Dockerfile bumped to Rust 1.88 (rig-core needs let chains), GITHUB_TOKEN forwarded into containers for gh CLI auth, and truncate() fixed for multi-byte char boundary panics. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address PR #57 review comments (IDOR, Dockerfile, truncate, logging) - Add ownership checks to JobEventsTool and JobPromptTool via ContextManager to prevent users from accessing other users' jobs (IDOR) - Combine Dockerfile gh CLI install into single apt-get layer - Handle truncate() edge case when max falls inside first multi-byte char - Log actual count of registered job management tools - Document fire-and-forget job monitor lifecycle - Add tests for ownership rejection and schema validation Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Replace hardcoded GITHUB_TOKEN with on-demand credential delivery Containers now fetch credentials via authenticated GET /worker/{id}/credentials endpoint instead of receiving them baked into env vars at creation time. Secrets are decrypted from SecretsStore on demand, scoped per-job via CredentialGrant, and revoked automatically when the job completes. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address sandbox audit findings (CONNECT tunnel, readonly_rootfs, type consolidation) - Implement real CONNECT tunnel with bidirectional TCP piping via hyper upgrade - Fix readonly_rootfs to apply for both ReadOnly and WorkspaceWrite policies - Consolidate duplicate CredentialMapping/CredentialLocation into secrets::types - Share reqwest::Client across proxy requests instead of per-request allocation - Store Docker connection and reuse across executions - Remove .unwrap() from proxy response builders with safe fallbacks - Add output truncation to direct (non-container) execution (64KB limit) - Delete dead src/tools/sandbox.rs (ToolSandbox never used) - Fix connect_docker error message to list all attempted socket paths - Update proxy credential injection to handle all CredentialLocation variants - Use glob-based host_patterns matching for credential lookup in proxy policy Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address PR #57 review comments (IDOR, Dockerfile, truncate, logging) - Dockerfile: install curl+ca-certificates before fetching GitHub CLI GPG key - JobEventsTool/JobPromptTool: reject missing context (prevents IDOR bypass) - parse_credentials: validate env var names against denylist and pattern - resolve_project_dir: require explicit paths to exist before validation - Credential serving: lower log level from info to debug Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address orchestrator audit findings (constant-time auth, error handling, tests) - auth: constant-time token comparison via subtle::ConstantTimeEq - auth: replace hand-rolled hex_encode with std::fmt::Write fold - api: report_status now updates ContainerHandle (was a no-op) - api: log complete_job errors instead of silently discarding - job_manager: log Docker cleanup errors in stop_job/complete_job - job_manager: extract validate_bind_mount_path with proper error on missing home_dir and mandatory base dir creation before canonicalize - job_manager: cache Docker connection across operations - error: remove dead OrchestratorError::AuthFailed and ContainerTimeout - Add 13 new tests (prompt queue, credentials, events, status, paths) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use floor_char_boundary in sandbox manager truncate to prevent multi-byte panics String::truncate() panics when the index falls mid-way through a multi-byte UTF-8 character. Use the same floor_char_boundary utility already used in worker/runtime.rs and tools/builtin/shell.rs. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: default base_url to private.near.ai for Responses API mode Session tokens only authenticate against private.near.ai, not cloud-api.near.ai. The default base_url now matches the api_mode: - Responses (session token): https://private.near.ai - ChatCompletions (API key): https://cloud-api.near.ai This broke when the multi-provider merge introduced cloud-api.near.ai as the unconditional default. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use private.near.ai as default base URL for all API modes private.near.ai now supports both Responses and ChatCompletions endpoints, so there is no reason to route through cloud-api.near.ai. This also fixes session token auth which only works against private.near.ai. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: harden libSQL concurrency, fix Claude Code Docker auth and permissions Three fixes for the sandbox/Claude Code pipeline: 1. SQLite "database is locked": set WAL journal mode in migrations and PRAGMA busy_timeout=5000 on every connection across LibSqlBackend, LibSqlSecretsStore, and LibSqlWasmToolStore (~83 async call sites). 2. Claude Code container auth: extract OAuth token from macOS Keychain (or Linux ~/.claude/.credentials.json) at startup and inject via CLAUDE_CODE_OAUTH_TOKEN env var. Removes the broken bind-mount approach that failed on uid mismatch. 3. Claude Code tool permissions: wire CLAUDE_CODE_ALLOWED_TOOLS env var through to the worker binary (was hardcoded to empty vec), and expand defaults to include all standard tools (Read, Write, Edit, Glob, Grep, NotebookEdit, Bash, Task, WebFetch, WebSearch). Also adds --verbose flag to claude CLI (required with stream-json + -p), failover provider model switching, and nearai models endpoint fix. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: stream event parsing, job ID prefix resolution, session renewal in list_models Three fixes for the Docker/gateway pipeline: 1. Claude Code stream event parsing (claude_bridge.rs): Rewrite ClaudeStreamEvent to match actual NDJSON format where content blocks are nested under message.content[], not at the top level. Add handler for "user" events (tool_result blocks) and emit result text as a "message" event so reviews appear in gateway activity view. 2. Job ID prefix resolution (job.rs): Add resolve_job_id() that accepts short hex prefixes (like git short SHAs) in addition to full UUIDs. The LLM sees truncated IDs in job monitor messages like "[Job f2854dd8]" and can now use them directly with job_status/cancel/events/prompt tools. 3. Session renewal in list_models (nearai.rs): list_models() now retries with OAuth renewal on 401, matching send_request()'s existing behavior. Previously it returned SessionExpired immediately, causing the setup wizard to fall back to defaults instead of prompting re-authentication. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: /model command now lists available models Previously /model with no args only showed the current model name. Now it fetches and displays all available models from the provider, marking the active one, so users can see what's available before switching with /model <name>. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #57 review findings (set_var UB, tunnel timeout, restart creds) - Replace unsafe `std::env::set_var` in worker runtime and Claude bridge with `Command::envs()` injection via a new `extra_env` field on `JobContext`, avoiding undefined behavior in the multi-threaded tokio runtime. - Add 30-minute timeout to CONNECT tunnel `copy_bidirectional` in the sandbox proxy to prevent stuck connections from leaking spawned tasks. - Persist credential grants (as JSON in the description column) on `SandboxJobRecord` so `jobs_restart_handler` can restore them instead of passing `vec![]`, which caused restarted containers to lose access to their original secrets. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address second round of PR #57 review comments - Normalize host_patterns to lowercase in proxy policy matching - Push LIMIT into SQL for list_job_events (Database trait + both backends) - Remove unused was_explicit binding in job tool - Return 500 instead of 200 in make_response fallback path - Update copy_auth_from_mount docstring for env-var default - Use entry.file_type() instead of is_dir() to avoid following symlinks Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address third round of PR #57 review comments - Restore glob patterns in default_claude_code_allowed_tools (Bash -> Bash(*)) - Add tracing::warn for credential grant serialize/deserialize failures - Wrap extra_env in Arc<HashMap> to avoid deep cloning per tool call - Document unsupported credential locations (AuthorizationBasic, UrlPath) - Document TOCTOU window in validate_bind_mount_path - Expand doc comments on JobEventsTool and JobPromptTool Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address fourth round of PR #57 review comments - Document CONNECT tunnel task lifecycle (timeout is the cleanup mechanism) - Remove secret names from error-level credential logs to prevent leaking - Expand DANGEROUS_ENV_VARS denylist with language runtime hijack vectors Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address fifth round of PR #57 review comments - Promote job monitor startup log to info level for observability - Require minimum 4-char prefix in resolve_job_id to limit enumeration - Cap credential grants at 20 per job to bound column storage - Clamp job events limit to 1..1000 to prevent memory abuse Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add missing closing brace for SkillsConfig impl block The merge resolution dropped the closing `}` for `impl SkillsConfig`, causing a compilation error in CI. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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bac2d75713 |
feat: Secure prompt-based skills system (Phases 1-4) (#51)
* feat: Add secure prompt-based skills system (Phase 1 MVP) Implement a skills system that extends the agent with prompt-level instructions from local directories. Skills declare activation criteria, tool permissions, and trust tiers that determine authority attenuation. Core security model: the minimum trust level of any active skill determines a tool ceiling -- tools above the ceiling are removed from the LLM's tool list entirely at the API level, preventing prompt-based manipulation. New modules: - skills/mod.rs: Core types (SkillTrust, SkillManifest, LoadedSkill) - skills/scanner.rs: Content scanner for manipulation detection - skills/registry.rs: Filesystem discovery and manifest parsing - skills/selector.rs: Deterministic two-phase prefilter (no LLM) - skills/attenuation.rs: Trust-based tool filtering Integration: - Agent loop selects skills per-turn and applies tool attenuation - Reasoning engine injects skill context with structural isolation - Config supports SKILLS_ENABLED, SKILLS_DIR, SKILLS_MAX_ACTIVE, SKILLS_MAX_CONTEXT_TOKENS environment variables - Disabled by default (SKILLS_ENABLED=false) 41 new tests covering all modules. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address all adversarial review findings for skills system Security fixes: - Escape skill name/version in XML attributes to prevent trust spoofing - Escape prompt content to prevent </skill> tag breakout - Require integrity hash for Verified/Community tier skills - Validate skill names against [a-zA-Z0-9][a-zA-Z0-9._-]{0,63} - Add 64 KiB file size limit on prompt.md Bug fixes: - Use actual SkillsConfig from AgentDeps instead of SkillsConfig::default() - Add skills_config field to AgentDeps, wired through from main.rs Performance: - Pre-compile regex patterns at load time (cached on LoadedSkill) - Selector uses pre-compiled patterns instead of recompiling per message - Switch all std::fs to tokio::fs for non-blocking async I/O Hardening: - Cap keyword score at 30 points to prevent keyword stuffing attacks - Enforce max 20 keywords and 5 patterns per skill - Normalize line endings (CRLF/CR to LF) before hashing - Also includes cargo fmt formatting fixes for adjacent code Tests: 54 skills tests pass (up from 41), zero new clippy warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address medium/low severity findings from adversarial review Fixes all 18 medium/low severity findings identified by the security review: - mod.rs: Add MAX_TAGS_PER_SKILL cap (10) in enforce_limits(); use RegexBuilder with 64 KiB size_limit to prevent ReDoS; replace case-enumerated escape_skill_content with regex matching all case variants plus whitespace/null byte injection between </ and skill; document allowed_patterns as unenforced until Phase 2; document Marketplace URL validation as Phase 3 concern - registry.rs: Add MAX_MANIFEST_FILE_SIZE (16 KiB) check before reading; add symlink detection via symlink_metadata to reject symlinks in discover_local; add MAX_DISCOVERED_SKILLS (100) cap; validate prompt_hash format (sha256: + 64 hex chars); warn on name collision before overwriting; accept SkillSource parameter in load_skill instead of always using Local; add InvalidHashFormat, ManifestTooLarge, SymlinkDetected error variants - selector.rs: Add MAX_TAG_SCORE (15) cap parallel to keyword cap; warn when declared max_context_tokens diverges >2x from actual prompt size - scanner.rs: Add mixed-script homoglyph detection (Cyrillic, Greek, Armenian unicode ranges); document token-boundary bypass and semantic paraphrasing as known limitations - attenuation.rs: Document READ_ONLY_TOOLS maintenance requirements - agent_loop.rs: Surface scan warnings via structured tracing; add structured audit events for skill activation and tool attenuation 61 tests pass, 0 new clippy warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address 12 findings from second adversarial security review HIGH: - Escape opening <skill tags in prompt content (prevents fake skill block injection) - Scan manifest metadata fields (description, author, tags, reasons) not just prompt - Block trust downgrade on name collision (existing Local can't be replaced by Community) MEDIUM: - Eliminate TOCTOU gap: read files then check size instead of metadata-then-read - Reject file-level symlinks in load_skill (prompt.md, skill.toml) - Truncate and filter manifest.skill.tags (prevent unlimited tag scoring) - Cap regex pattern score at 40 (prevent 5x20=100 dominating keyword+tag) - Add doc comment about skill_list tool exposing metadata (sanitization required) - Move Community disclaimer inside <skill> tags (not outside structural boundary) - Filter keywords/tags shorter than 3 chars (prevent broad matching) LOW: - Enforce minimum token_cost of 1 (max_context_tokens=0 can't bypass budget) - Remove redundant try_exists checks in discover_local (let load_skill handle errors) 70 skills tests passing. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add HTTP endpoint scoping for skills (Phase 1) Skills that declare an [http] section in skill.toml now have their HTTP requests constrained to declared endpoints at runtime. This addresses the gap where allowed_patterns was parsed but never enforced -- once the http tool was visible via attenuation, the LLM could reach any URL. Enforcement reuses EndpointPattern/AllowlistValidator from the WASM capability system. Semantics: if no active skill declares [http], all requests pass through (backward compat). If any skill declares [http], URLs must match at least one skill's allowlist (union). Community skills' [http] declarations are silently ignored (defense in depth). Shell commands using curl/wget are also validated against scopes. Scanner gains detection for known exfiltration domains (webhook.site, ngrok.io, etc.), overly broad wildcards, and credential/host mismatches. Closes #38 Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: Apply cargo fmt to http_scoping.rs Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: Apply cargo fmt across codebase Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add parameter-level permission enforcement for skills (Phase 2) Activates enforcement of `allowed_patterns` in skill.toml permissions. Previously these patterns were parsed but not enforced -- a Verified skill declaring `permissions.shell` with `allowed_patterns = [{command = "cargo *"}]` could still run any shell command. Now the enforcer validates tool parameters against declared glob patterns before execution. Key changes: - New `enforcer.rs` module with `SkillPermissionEnforcer`, `glob_to_regex()`, and `validate_tool_call()` with union semantics across active skills - Typed pattern enums (`ShellPattern`, `FilePathPattern`, `MemoryTargetPattern`) replace the previous `Vec<serde_json::Value>` in `ToolPermissionDeclaration` - Scanner gains `scan_permission_patterns()` detecting dangerous patterns (rm, sudo, curl, bare wildcards, command chaining, sensitive paths, identity files) - Registry blocks non-Local skills with critical permission pattern warnings - Agent loop threads enforcer into `execute_chat_tool` alongside HTTP scoping Trust interaction: Community patterns ignored, Verified enforced, Local without patterns unrestricted, Local with patterns enforced as guidance. Union semantics across skills -- tool call allowed if ANY skill's patterns permit it. 34 new tests. All 818 library tests pass. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add worker permission enforcement and LLM behavioral analysis (Phase 3+4) Phase 3 - Worker-side permission enforcement: - Add SerializedToolPermission/SerializedPattern DTOs for HTTP boundary crossing - Extend JobDescription, ContainerHandle, and orchestrator API to carry permissions - CreateJobTool snapshots and forwards skill permissions to spawned workers - Worker runtime builds SkillPermissionEnforcer and checks before tool execution - Load-time token budget enforcement rejects prompts exceeding 2x declared budget - Deduplicate enforcer construction: from_active_skills() delegates to from_serialized() Phase 4 - LLM behavioral analysis: - BehavioralAnalyzer with cached, LLM-based semantic content analysis - Structured output parsing (FINDING|CATEGORY|SEVERITY|DESCRIPTION or CLEAN) - Content-hash caching with bounded size (MAX_CACHE_ENTRIES=256) - Graceful degradation when LLM unavailable - Integrated into load_skill() for non-Local skills; critical findings block loading Review fixes: - Real cache tests with CountingLlm mock (test_cache_hit, test_cache_miss, test_cache_bounded) - UTF-8-safe truncate() in worker runtime - Few-shot examples in behavioral analysis prompt - Documented max_context_tokens=0 opt-out and create_job() permission gap 848 tests passing, no new clippy warnings. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address review feedback from serrrfirat on skills-phase2 - Fix truncate_cmd UTF-8 panic: use char-boundary-aware slicing - Remove redundant effective_tools branching in reasoning.rs - Document cache eviction as known limitation (arbitrary, not LRU) - Add safety comment on SkillTrust enum ordering (security-critical) - Simplify active_skills selection (prefilter_skills handles empty input) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address remaining skills review feedback * refactor: replace skills system with OpenClaw SKILL.md format + 2-state trust Replace the 5-gate, 3-tier trust hierarchy (scanner, behavioral analyzer, parameter-level enforcer, HTTP endpoint scoping) with a simplified 3-layer security model: gating -> attenuation -> Docker confinement. Key changes: - SKILL.md format (YAML frontmatter + markdown prompt) replaces skill.toml + prompt.md - 2-state trust (Installed/Trusted) replaces 3-tier (Community/Verified/Local) - New parser.rs for SKILL.md parsing with serde_yaml - New gating.rs for requirements checking (bins/env/config) - Simplified registry with 2-location discovery (workspace + user dirs) - Removed scanner, behavioral_analyzer, enforcer, http_scoping (~4,100 lines) - Removed skill_permissions propagation through job/orchestrator/worker pipeline - Added serde_yaml dependency for YAML frontmatter parsing Net: -5,298 lines, 59 skills tests pass, 907 total tests pass. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add in-app skill management tools and ClawHub catalog integration Add 4 chat-callable tools (skill_list, skill_search, skill_install, skill_remove) plus matching web gateway endpoints for managing skills at runtime. The catalog fetches from ClawHub's public registry API at runtime rather than bundling entries at compile time. Key changes: - SkillRegistry gains mutation methods (install_skill, remove_skill, reload, find_by_name) with Arc<RwLock> for concurrent access - New catalog module queries ClawHub /api/v1/search with in-memory caching (5-min TTL, configurable via CLAWHUB_REGISTRY env var) - skill_list and skill_search added to READ_ONLY_TOOLS for safe use under Installed trust ceiling - Web gateway gets /api/skills, /api/skills/search, /api/skills/install, and /api/skills/{name} DELETE endpoints Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #51 review feedback from ilblackdragon Security: - Add SSRF protection to fetch_skill_content: require HTTPS, reject private/loopback/link-local IPs and internal hostnames, disable redirects. Gateway install handler now reuses the same validation. - URL-encode slug in skill_download_url to prevent query injection. - Require X-Confirm-Action header on gateway skill install/remove endpoints (equivalent to chat tool requires_approval gate). Correctness: - Eliminate all block_in_place/block_on usage in skill tools and gateway handlers. Split install into prepare_install_to_disk (static async, no lock) + commit_install (sync, brief write lock). Same pattern for remove: validate_remove + delete_skill_files + commit_remove. - Write normalized content to disk in install_skill (was writing original un-normalized content, causing hash mismatch on re-read). - Fix token estimation from 0.75 to 0.25 tokens/byte (~4 chars per token) in registry.rs, selector.rs, and standalone loader. Dependencies: - Replace deprecated serde_yaml 0.9 with serde_yml 0.0.12. - Remove unused toml dependency. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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a158eee1b0 |
feat: 10 infrastructure improvements from zeroclaw (#126)
* refactor: break up agent_loop.rs into four focused modules Split the monolithic 2835-line agent_loop.rs into: - agent_loop.rs (722L): Agent struct, event loop, message dispatch - dispatcher.rs (635L): Agentic tool loop, tool execution, auth detection - commands.rs (484L): System commands, job handlers, heartbeat, summarize - thread_ops.rs (1059L): Thread lifecycle, approval, undo/redo, persistence Each module gets its own impl Agent block. Agent fields changed to pub(super) so sibling modules in the agent package can access them. All 16 existing tests pass in their new locations. Inspired by ZeroClaw's agent module split (agent.rs, loop_.rs, dispatcher.rs, prompt.rs, memory_loader.rs). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add cost caps and guardrails for autonomous agent spending Daily budget (MAX_COST_PER_DAY_CENTS) and hourly action rate (MAX_ACTIONS_PER_HOUR) limits prevent runaway agents from burning through API credits, especially in daemon/heartbeat modes. - CostGuard with pre-flight check and post-call recording - Sliding window for hourly rate, midnight-UTC daily reset - 80% threshold warning, atomic fast-path for exceeded budget - Wired into dispatcher loop (check before LLM call, record after) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add circuit breaker on LLM providers Wraps LlmProvider with a Closed/Open/HalfOpen state machine that trips after consecutive transient failures, preventing request storms against a degraded backend. Automatically probes for recovery. - CircuitBreakerProvider implements LlmProvider (drop-in wrapper) - Transient error classification (server, rate-limit, network, auth infra) - Client errors (wrong model, context overflow) don't trip the breaker - Configurable via CIRCUIT_BREAKER_THRESHOLD and CIRCUIT_BREAKER_RECOVERY_SECS - Composes with existing FailoverProvider (circuit breaker wraps failover) - 12 tests covering full state machine and error classification Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add tunnel abstraction for remote access Trait-based tunnel system with lifecycle management (start/stop/health) for exposing the agent to the internet through external tunnel binaries. Five providers: - Cloudflare Tunnel (cloudflared, Zero Trust token auth) - Tailscale (serve for tailnet, funnel for public) - ngrok (with optional custom domain) - Custom (arbitrary command with {host}/{port} placeholders) - None (local-only, no external exposure) Config via TUNNEL_PROVIDER + provider-specific env vars. Extends existing TunnelConfig with optional managed provider alongside the static TUNNEL_URL path. Factory, shared process management, and 37 tests covering all providers and edge cases. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add OS service management (launchd/systemd) Adds `ironclaw service {install,start,stop,status,uninstall}` for running the agent as a background daemon. macOS uses launchd plists under ~/Library/LaunchAgents, Linux uses systemd user units. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add observability trait system with noop, log, and multi backends Introduces an Observer trait for recording agent lifecycle events and metrics, with pluggable backends. The noop backend compiles to zero overhead, log backend uses tracing, and multi fans out to multiple observers. Configured via OBSERVABILITY_BACKEND env var. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add in-memory LLM response cache with TTL and LRU eviction CachedProvider wraps any LlmProvider and caches complete() responses keyed by SHA-256(model + messages). Tool-calling requests are never cached since they trigger side effects. Configurable via RESPONSE_CACHE_ENABLED, RESPONSE_CACHE_TTL_SECS, and RESPONSE_CACHE_MAX_ENTRIES env vars. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add memory hygiene with cadence-gated daily log cleanup Adds workspace::hygiene module that automatically deletes daily log documents older than a configurable retention period (default 30 days). Runs on a 12-hour cadence tracked via a local state file to avoid redundant passes. Best-effort design: failures are logged, never fatal. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add doctor diagnostics command for active health probing Probes external dependencies (Docker, cloudflared, ngrok, tailscale), validates NEAR AI session, checks database connectivity, and verifies workspace directory. Complements the passive `status` command. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add structured TOML config file support Adds ~/.ironclaw/config.toml as a configuration layer between env vars and database settings. Priority: env var > TOML file > DB > defaults. - `ironclaw config init` generates a commented config.toml from current settings - `ironclaw --config path/to/config.toml` loads a custom config file - Settings.merge_from() only overlays non-default values from the TOML file - `ironclaw config path` now shows TOML file status Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address codex review findings - apply_toml_overlay now returns Result and errors on explicit missing or invalid config paths (was log-only, violating the documented contract that explicit paths are fatal) - custom tunnel url_pattern is now used to filter extracted URLs, not just as a gate for scanning stdout - systemd ExecStart path is now quoted to handle spaces in paths Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback - Cache key now includes max_tokens, temperature, and stop_sequences so different request parameters produce distinct keys - to_cents() uses .trunc() + parse::<u64> instead of f64 intermediary, avoiding precision loss for large values - Tailscale public URL no longer includes local port (serve/funnel expose on standard HTTPS port 443) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: wire up tunnel lifecycle and fix audit findings Connect the tunnel module to the rest of the application so that setting TUNNEL_PROVIDER actually starts a managed tunnel at boot and stops it on shutdown. Previously create_tunnel() was never called outside tests. Changes: - Expand TunnelSettings with provider credential fields (settings.rs) - TunnelConfig::resolve() falls back to DB settings when env vars unset - Start tunnel at boot, stop on shutdown, show URL in boot screen - Setup wizard collects provider-specific credentials (ngrok, cloudflare, tailscale, custom, static URL) - Fix public_url() returning None under lock contention (SharedUrl) - Fix local_host parameter ignored by cloudflare/ngrok/tailscale - Fix tailscale silent fallback to "localhost" on bad JSON - Fix ngrok globally mutating config via add-authtoken (use env var) - Add 10s timeout to tailscale status --json Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review comments - Document split_whitespace limitation in CustomTunnel doc comment - Remove unnecessary quotes from systemd ExecStart directive Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review feedback (round 3) - doctor: missing libSQL DB on fresh install is Pass, not Fail - service: quote ExecStart path for systemd space handling Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: correct cost guard doc comment (LLM calls, not LLM/tool) Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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956037c4d3 |
llm: fallback to legacy nearai.session key when loading DB session (#111)
* llm: fallback to legacy nearai.session when loading DB session * llm: simplify session fallback load with if-let form --------- Co-authored-by: Clawyered <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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68a1851c19 |
feat: add cooldown management to FailoverProvider (#114)
Track per-provider failure state with lock-free atomics and temporarily skip providers that have repeatedly failed with retryable errors. This reduces latency when a provider is known to be down, instead of wasting time on every request trying all providers sequentially. - Add CooldownConfig (duration + threshold) and ProviderCooldown (atomics) - Rewrite try_providers() to skip cooled-down providers, with a safety net that always tries the oldest-cooled provider if all are down - Add 2 env vars: LLM_FAILOVER_COOLDOWN_SECS, LLM_FAILOVER_THRESHOLD - Add MultiCallMockProvider and 7 new test cases - Mark "Cooldown management" as complete in FEATURE_PARITY.md Co-authored-by: Claude Opus 4.6 <[email protected]> |
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72623c9e5b |
feat: direct api key and cheap model (#116)
* feat: Support direct API key auth and cheap model routing Allow using IronClaw with any OpenAI-compatible API provider (e.g. Anthropic Claude) via API key, without requiring NEAR AI session auth. Changes: - Skip session authentication in chat_completions mode (API key auth) - Skip first-run onboard check when NEARAI_API_KEY is configured - Add `cheap_model` config field (NEARAI_CHEAP_MODEL env var) for a secondary lightweight model used for heartbeat, routing, evaluation - Add `create_cheap_llm_provider()` factory in llm module - Add `cheap_llm` to AgentDeps with fallback to main model - Route heartbeat through cheap model to reduce costs - Fix wizard compilation for new config field Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #20 review feedback - Check API key presence (not api_mode) for auth skip (ilblackdragon) - Add Settings::load() call in check_onboard_needed (ilblackdragon) - Warn and ignore cheap_model for non-NearAi backends (ilblackdragon) - Add unit tests for create_cheap_llm_provider (ilblackdragon) - Minor formatting cleanup in cheap provider match arm Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Samuel Barbosa <[email protected]> Co-authored-by: Claude Opus 4.6 <[email protected]> |
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eaef335db6 |
fix: propagate real tool_call_id instead of hardcoded placeholder (#73)
The worker (both agent/worker.rs and worker/runtime.rs) was passing the literal string "tool_call_id" to ChatMessage::tool_result instead of the actual tool call ID from the LLM response. This breaks OpenAI-compatible providers that match tool results to their corresponding calls by ID. - Add tool_call_id field to ToolSelection struct - Propagate ToolCall.id through select_tools() into ToolSelection - Replace all hardcoded "tool_call_id" usages with selection.tool_call_id - Generate unique IDs for plan-based synthetic selections - Add test verifying tool_call_id is preserved Co-authored-by: Yi LIU <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |