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Commits
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41ed0a0f98 |
feat(agent): thread per-tool reasoning through provider, session, and all surfaces (#1513)
* feat(agent): thread per-tool reasoning from LLM through to REPL, HTTP, SSE, and DB Add end-to-end agent reasoning summaries so users can see *why* the agent chose specific tools, not just what it did. - Add `reasoning: Option<String>` to `ToolCall` (all providers) - Populate from LLM response content in `Reasoning::respond_with_tools` and `select_tools`, with per-tool override when providers supply it - Extend `Turn` with `narrative` and `TurnToolCall` with `rationale` + `tool_call_id` for identity-based result matching - Persist reasoning in DB via existing tool_calls JSON (no migration) - Add `StatusUpdate::ReasoningUpdate` and `SseEvent::ReasoningUpdate` + `SseEvent::JobReasoning` for real-time streaming - Emit reasoning events in both chat dispatcher and worker job path - Add `/reasoning [N|all]` command for inspecting turn reasoning - Surface `narrative` and `rationale` in HTTP `/api/chat/history` Based on the design from #361 and #456, reconstructed cleanly with Option<String> to minimize blast radius (vs mandatory String that broke compilation in #456). Closes #456 Co-Authored-By: panosAthDBX <[email protected]> Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address PR review feedback from Gemini and Copilot - Fix `_ => Ok(None)` in agent_loop.rs to avoid accidental shutdown - Fix fallback in record_tool_result_for/record_tool_error_for to use first pending call instead of last_mut (parallel execution safety) - Include per-tool decisions in WASM channel reasoning messages - Apply truncate_at_tool_tags + clean_response to shared_reasoning in select_tools (parity with respond_with_tools) - Persist turn-level narrative to DB in tool_calls JSON wrapper - Parse both old (array) and new (object) tool_calls formats in build_turns_from_db_messages for backward compatibility - Populate reasoning from action.reasoning in execute_plan ToolCalls [skip-regression-check] Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address second round of review comments + merge fixes - Add reasoning: None to new github_copilot.rs ToolCall sites (from staging merge) - Run cargo fmt on 4 files with formatting diffs - Truncate narrative to 1000 chars before DB persistence - Clone turn data and drop session lock in /reasoning command - Extract ToolDecisionDto::from_json_array shared helper (deduplicate worker/job.rs and orchestrator/api.rs) - Add unit tests for wrapped tool_calls JSON format with narrative [skip-regression-check] Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address third round of review comments (Copilot + serrrfirat) - Reword ToolCall.reasoning docstring to reflect provider-supplied or fallback contract - Sanitize narrative through SafetyLayer before storage/emission - Clean per-tool reasoning via truncate_at_tool_tags + clean_response in select_tools (parity with shared reasoning) - Convert 4 approval-path recording sites in thread_ops.rs to identity-based record_tool_result_for/record_tool_error_for - Preserve tool_call_id and reasoning through restore_from_messages - Fix has_result/has_error to reject JSON null values - Truncate tool_call_id to 128 chars before DB persistence - Add 4 unit tests for record_tool_result_for/error_for edge cases Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address zmanian review — sanitize JobDelegate reasoning + warn on dropped results - Sanitize narrative and per-tool rationale through SafetyLayer in JobDelegate reasoning events (parity with ChatDelegate) - Add tracing::warn when record_tool_result_for/error_for drops a result because no matching or pending tool call exists - Add 3 unit tests for reasoning normalization (thinking tags, tool tags, empty-after-cleaning) Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address 4 remaining unreplied review comments - Clean per-tool reasoning in respond_with_tools via truncate_at_tool_tags + clean_response (parity with select_tools) - Handle wrapped JSON format in rebuild_chat_messages_from_db so cold hydration works after persist_tool_calls format change - Update persist_tool_calls doc comment to describe new JSON shape - Sanitize per-tool rationale through SafetyLayer in ChatDelegate before emission and storage (parity with JobDelegate) Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address zmanian review round 2 - Add tracing::debug on fallback-to-pending path in record_tool_result_for and record_tool_error_for (item 1) - Add comment explaining why /reasoning is special-cased in agent_loop.rs (item 4) - Items 2 (narrative persistence), 3 (rationale sanitization), and 5 (catch-all fix) were already addressed in prior commits Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: panosAthDBX <[email protected]> Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]> |
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6daa2f155f |
fix: ensure LLM calls always end with user message (closes #763) (#1259)
* fix: ensure LLM calls always end with user message (closes #763) Claude 4.6 models (claude-sonnet-4-6, claude-opus-4-6) no longer support assistant message prefill — any LLM call where the conversation ends on an assistant message is rejected with HTTP 400 "This model does not support assistant message prefill". The same root cause also triggers NEAR AI's "No user query found in messages" 400 error for the routine engine path. Two fixes: 1. src/worker/container.rs — before_llm_call() After poll_and_inject_prompt(), if no user follow-up arrived and handle_text_response() left an assistant message at the end of the conversation, inject a sentinel "Continue." user message before the next LLM call. 2. src/agent/routine_engine.rs — execute_lightweight_with_tools() Before the force_text final completion call, ensure messages end with a user-role message. Tool result messages (Role::Tool) satisfy Anthropic but not NEAR AI; assistant messages satisfy neither. Also updates the worker system prompt to instruct the agent to include the phrase "The job is complete" in its final message, so the agentic loop can detect termination reliably. Tested with claude-sonnet-4-6 and claude-opus-4-6. Workaround: ANTHROPIC_MODEL=claude-sonnet-4-20250514 (still supports prefill). * fix: broaden sentinel guard to any non-user message (per review) Gemini suggested the Role::Assistant check in before_llm_call() is too specific. Changed to !Role::User to match the routine_engine.rs fix and cover tool results too. * fix: address zmanian review — JobDelegate sentinel, shared helper, NearAI complete() flattening - Extract ensure_ends_with_user_message() to src/util.rs with 4 unit tests (empty list, after assistant, after tool result, no-op when already user) - Add sentinel guard to JobDelegate::before_llm_call() in src/worker/job.rs so scheduler jobs (CreateJob / /job path) no longer hit Claude 4.6 / NEAR AI 400s - Replace inline guards in ContainerDelegate and routine_engine.rs with the shared helper — all 3 call sites now use one implementation - Fix complete() in nearai_chat.rs to apply flatten_tool_messages when flatten_tool_messages=true — previously only complete_with_tools() flattened, so force_text paths could still send role:"tool" messages to NEAR AI - Update stale comment in container.rs: "assistant message" → "non-user message" - Add flatten tests in nearai_chat.rs covering the complete() path Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * ci: fix fmt and tar advisory --------- Co-authored-by: Jacob Lasky <[email protected]> Co-authored-by: Claude Sonnet 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> Co-authored-by: firat.sertgoz <[email protected]> |
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806d402876 |
feat: chat onboarding and routine advisor (#927)
* feat: port NPA psychographic profiling system into IronClaw
Port the complete psychographic profiling system from NPA into IronClaw,
including enriched profile schema, conversational onboarding, profile
evolution, and three-tier prompt augmentation.
Personal onboarding moved from wizard Step 9 to first assistant
interaction per maintainer feedback — the First Contact system prompt
block now instructs the LLM to conduct a natural onboarding conversation
that builds the psychographic profile via memory_write.
Changes:
- Enrich profile.rs with 5 new structs, 9-dimension analysis framework,
custom deserializers for backward compatibility, and rendering methods
- Add conversational onboarding engine with one-step-removed questioning
technique, personality framework, and confidence-scored profile generation
- Add profile evolution with confidence gating, analysis metadata tracking,
and weekly update routine
- Replace thin interaction style injection with three-tier system gated on
confidence > 0.6 and profile recency
- Replace wizard Step 9 with First Contact system prompt block that drives
conversational onboarding during the user's first interaction
- Add autonomy progression to SOUL.md seed and personality framework to
AGENTS.md seed
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* feat: replace chat-based onboarding with bootstrap greeting and workspace seeds
Remove the interactive onboarding_chat.rs engine in favor of a simpler
bootstrap flow: fresh workspaces get a proactive LLM greeting that
naturally profiles the user. Identity files are now seeded from
src/workspace/seeds/ instead of being hardcoded. Also removes the
identity-file write protection (seeds are now managed), adds routine
advisor integration, and includes an e2e trace for bootstrap greeting.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* feat(safety): sanitize identity file writes via Sanitizer to prevent prompt injection
Identity files (SOUL.md, AGENTS.md, USER.md, IDENTITY.md) are injected into
every system prompt. Rather than hard-blocking writes (which broke onboarding),
scan content through the existing Sanitizer and reject writes with High/Critical
severity injection patterns. Medium/Low warnings are logged but allowed.
Also clarifies AGENTS.md identity file roles (USER.md = user info, IDENTITY.md =
agent identity) and adds IDENTITY.md setup as an explicit bootstrap step.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* docs: update profile_onboarding_completed comment to reflect current wiring
The field is now actively used by the agent loop to suppress BOOTSTRAP.md
injection — remove the stale "not yet wired" TODO.
[skip-regression-check]
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix(setup): use env_or_override for NEARAI_API_KEY in model fetch config
When the user authenticates via NEAR AI Cloud API key (option 4),
api_key_login() stores the key via set_runtime_env(). But
build_nearai_model_fetch_config() was using std::env::var() which
doesn't check the runtime overlay — so model listing fell back to
session-token auth and re-triggered the interactive NEAR AI
authentication menu.
Switch to env_or_override() which checks both real env vars and the
runtime overlay.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix(agent): correct channel/user_id in bootstrap greeting persist call
persist_assistant_response was called with channel="default",
user_id="system" but the assistant thread was created via
get_or_create_assistant_conversation("default", "gateway") which owns
the conversation as user_id="default", channel="gateway". The mismatch
caused ensure_writable_conversation to reject the write with:
WARN Rejected write for unavailable thread id user=system channel=default
[skip-regression-check]
Co-Authored-By: Claude Opus 4.6 <[email protected]>
* fix(web): remove all inline event handlers for CSP compliance
The Content-Security-Policy header (added in
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8920322589 |
fix: staging CI triage — consolidate retry parsing, fix flaky tests, add docs (#1427)
* fix: consolidate retry-after parsing and fix flaky OAuth env tests (#1288, #1280) - Extract shared `parse_retry_after()` into `src/llm/retry.rs` supporting both delay-seconds and RFC2822 formats, replacing duplicated inline parsing in anthropic_oauth.rs, nearai_chat.rs, and embeddings.rs - Fix flaky `bind_rejects_wildcard_*` tests in oauth_helpers.rs by adding `tokio::sync::Mutex` to serialize env var access (matching the ENV_MUTEX pattern in oauth_defaults.rs) - Add regression tests for parse_retry_after edge cases Closes #1288, #1280 Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * docs: add comments explaining CLI_ENABLED=false in service templates (#990) Clarify that CLI_ENABLED=false is needed in daemon mode (launchd/systemd) to prevent blocking on stdin when running as a background service. Closes #990 Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address review comments on retry-after consolidation - Change parse_retry_after() return type from Option<Duration> to Duration (it never returns None due to the 60s fallback) - Fix doc comment: reference RFC 7231 §7.1.1 for HTTP-date, not RFC 2822 - Add parse_retry_after_http_date test for the RFC 2822 date parsing branch - Remove stale per-file test helpers (parse_retry_after_*_for_test) that duplicated old inline logic instead of testing the shared function - Remove unnecessary comments above #[cfg(test)] imports - Use crate-wide ENV_MUTEX instead of local tokio::sync::Mutex in oauth_helpers tests to prevent cross-module env-var races Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: reword await_holding_lock safety comment Drop runtime-flavor assumption; justify by short-lived awaited operation. 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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bedc71ebdc |
fix(llm): cap retry-after delays (#1351)
* fix(llm): cap retry-after delays * Update src/llm/retry.rs Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> |
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5c56032b88 |
fix: Rate limiter returns retry after None instead of a duration (#1269)
* fix: Rate limiter returns retry after None instead of a duration linter fix * review fixes * fix: rate limiter returns None for retry_after duration Add regression test to src/llm/retry.rs that verifies RateLimited errors always have a fallback duration (never None) due to the 60-second fallback applied in all rate limit error creation sites (nearai_chat.rs, anthropic_oauth.rs, embeddings.rs). The production code fix adds `.or(Some(Duration::from_secs(60)))` to ensure the error message never displays "retry after None" to the user. [skip-regression-check] Co-Authored-By: Claude Haiku 4.5 <[email protected]> --------- Co-authored-by: Claude Haiku 4.5 <[email protected]> |
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NigeandGitHub
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ffe384b66e |
fix(llm): add stop_sequences parity for tool completions (#1170)
* fix(llm): add stop_sequences parity for tool completions * refactor(web-openai): dedupe request builders and satisfy no-panics gate * test(llm): mark multiline assert with safety comment for CI gate * test(llm): make safety-marked assert formatting-stable |
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757d24bd90 |
feat(web): add follow-up suggestion chips and ghost text (#1156)
* feat(web): add follow-up suggestion chips and ghost text to chat UI The LLM now always generates 1-3 follow-up command suggestions via <suggestions> tags in its response. These are extracted server-side, broadcast as SSE events, and rendered as clickable chips above the chat input. The first suggestion also appears as ghost text in the input field (Tab to accept). Includes debug logging for LLM responses in the agentic loop and removes noisy NEAR AI status logging. Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: resolve deferred review items from PR #1156 [skip-regression-check] - Remove literal backslashes from raw string prompt (reasoning.rs) - Make WASM channels skip Suggestions status (no-op instead of empty callback) - Add !e.shiftKey guard to Tab-to-accept ghost text handler - Cap extracted suggestions at 3 and trim whitespace-only entries - Extract suggestions in approval-resume path (prevents tag leaking) - Remove stale .has-ghost class during showSuggestionChips reset 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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1f5b582c5f |
fix: agent logging (#888)
* fix: optimize agent logging to reduce DataDog bill * fix: log permanent repair failures as ERROR not WARN RepairResult::Failed is permanent failure requiring attention (ERROR level) not a temporary/retryable condition (WARN level). [skip-regression-check] Co-Authored-By: Claude Haiku 4.5 <[email protected]> * security: remove user message content from trace logs Never log user message content at any log level (includes TRACE). Log only safe metadata: content length, message ID, image count. This prevents accidental exposure of sensitive user data in logs even at the most verbose logging level. [skip-regression-check] Co-Authored-By: Claude Haiku 4.5 <[email protected]> * security: move LLM response body logging to TRACE level Response bodies can contain user-generated content, tool outputs, and leaked secrets. Moving to TRACE (not enabled in production) prevents exposure in DEBUG logs. Status log remains at DEBUG. [skip-regression-check] Co-Authored-By: Claude Haiku 4.5 <[email protected]> * refactor: simplify URL sanitization using url::Url API Use set_query, set_fragment, set_username, set_password methods instead of manual string reconstruction. Cleaner, handles edge cases, eliminates port branching complexity. [skip-regression-check] Co-Authored-By: Claude Haiku 4.5 <[email protected]> * test: add comprehensive unit tests for sanitize_url_for_logging Add 9 test cases covering: - URL with query parameters - URL with credentials (user:pass@host) - URL with fragment - URL with port - URL with all components combined - Malformed URL fallback behavior - Short strings (pass-through) - Non-URL-like strings - Path preservation Tests verify that sanitization correctly removes sensitive components while preserving safe components like host, port, and path. Co-Authored-By: Claude Haiku 4.5 <[email protected]> * fix: libsql per-migration logs should be DEBUG, not TRACE Individual migration logs are now visible with standard debug logging (RUST_LOG=ironclaw=debug), improving debuggability when troubleshooting migration issues. Summary log remains at INFO level. Fixes behavioral change that made it harder to identify which specific migration ran or failed without enabling full TRACE logging. [skip-regression-check] --------- Co-authored-by: Claude Haiku 4.5 <[email protected]> |
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3a2989d009 |
feat(setup): quick onboarding, preserve .env vars, clean up boot logging (#821)
* feat(setup): quick onboarding, preserve .env vars, clean up boot logging (#751, #674) - Add upsert_bootstrap_vars() to preserve user-added .env vars on re-onboarding - Add --quick mode: auto-defaults DB + security, asks only LLM provider (2 steps) - Auto-triggered onboarding uses quick mode for near-instant first run - Fix NEAR AI model fetch to use cloud-api.near.ai when API key is set - Handle missing WASM tools/channels directories gracefully - Downgrade all boot/shutdown tracing::info! to debug (boot screen shows user output) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(setup): gate env_backend variable behind postgres feature flag [skip-regression-check] Clippy lint fix — not a behavioral change, just moving a variable declaration inside the cfg(feature = "postgres") block where it's used. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(review): address PR review comments - WASM loaders: use tokio::fs::metadata, only treat NotFound as empty, propagate other IO errors, handle TOCTOU in read_dir - bootstrap: only ignore NotFound in read_to_string, propagate other errors - wizard: restore print_info/print_success for migrations in interactive mode (gated by !config.quick), keep tracing::debug for diagnostics - tests: use shared crate::config::helpers::ENV_MUTEX instead of separate NEARAI_ENV_MUTEX to prevent cross-test env var races - README: fix quick mode description to mention model selection, clarify auto_setup_database may prompt when DATABASE_URL is set Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(setup): skip prompts for DATABASE_URL in quick mode [skip-regression-check] auto_setup_database() now uses DATABASE_URL directly without calling step_database_postgres() (which prompts for confirmation). Quick mode should be fully non-interactive when env vars are already set. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(cli): update --quick help text to mention model selection [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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14aadd3063 |
refactor: make src/llm/ self-contained for crate extraction (#767)
* refactor: make src/llm/ self-contained for crate extraction Move LlmError, LLM config types, and OAuth callback helpers into src/llm/ so the module has zero `use crate::` imports outside of crate::llm. This prepares the module for extraction into a standalone workspace crate. - Move LlmError enum from src/error.rs to src/llm/error.rs - Move LlmConfig, NearAiConfig, RegistryProviderConfig, BedrockConfig, CacheRetention, OAUTH_PLACEHOLDER from src/config/llm.rs to src/llm/config.rs - Move OAuth callback utilities (callback_url, bind_callback_listener, wait_for_callback, landing_html, etc.) from src/cli/oauth_defaults.rs to src/llm/oauth_helpers.rs - Remove session.rs dependency on crate::bootstrap (inline default path) - Add cache_retention field to RegistryProviderConfig, resolve from env in config/llm.rs instead of reading env var in llm/mod.rs - Add Check 6 to scripts/check-boundaries.sh enforcing LLM isolation - All original locations re-export for backward compatibility [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #767 review — session path bug and boundary check 1. Fix SessionConfig::default() usage in setup wizard: the fallback at wizard.rs:995 now constructs SessionConfig with the real default_session_path() instead of a relative "session.json", which would write auth tokens to the CWD instead of ~/.ironclaw/. 2. Widen check-boundaries.sh Check 6 to catch all `crate::` references (not just `use crate::` imports). Pre-existing inline references (16 occurrences) are reported as warnings; only new `use crate::` imports are hard violations. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #767 review and audit findings in src/llm/ PR review fixes: - Reject wildcard addresses (0.0.0.0, ::) in OAuth callback listener to prevent session token exposure on all interfaces - Fix boundary check comment-stripping that could hide real violations (use sed to strip inline comments before matching) Audit fixes: - Fix UTF-8 byte-index slicing panic in recording.rs hint extraction - Add effective_model_name() delegation to RetryProvider and SmartRoutingProvider for consistency with other wrappers - Add calculate_cost() delegation to CachedProvider and RecordingLlm - Deduplicate retry loop logic in RetryProvider via generic helper - Replace hardcoded /tmp path in recording tests with tempfile Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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200aed16cd |
feat: configurable LLM request timeout via LLM_REQUEST_TIMEOUT_SECS (#615) (#630)
Add LLM_REQUEST_TIMEOUT_SECS env var (default: 120) to configure the HTTP request timeout for LLM API calls. Primarily useful for local models (Ollama, vLLM, LM Studio) that need more time for prompt evaluation on consumer hardware. The timeout is applied to the NearAI provider's HTTP client. Other providers (Anthropic, OpenAI) use rig-core's default client. - Add request_timeout_secs field to LlmConfig - Thread timeout through create_llm_provider -> NearAiChatProvider - Add NearAiChatProvider::new_with_timeout constructor - Add .env.example documentation - 2 regression tests for default and custom timeout values 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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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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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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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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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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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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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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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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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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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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408ae8a29a |
feat: add multi-provider LLM failover with retry backoff (#28)
* feat: add multi-provider LLM failover Add FailoverProvider that wraps multiple LlmProvider instances and tries each in sequence on transient failures. Non-retryable errors (auth, context length, model not available) propagate immediately. - New `FailoverProvider` with generic `try_providers` helper - `is_retryable()` classifies transient errors (request failed, rate limited, invalid response, session renewal, HTTP, IO) - Configurable via `NEARAI_FALLBACK_MODEL` env var - Returns `Result` from constructor (no panics in production) - Updates FEATURE_PARITY.md: failover chains ✅, cooldown ❌ Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: track last-used provider for accurate cost/model reporting After failover, model_name() and cost_per_token() now reflect the provider that actually handled the request, not always the primary. Also corrects is_retryable() docs to list ModelNotAvailable as retryable. Addresses PR #28 review comments. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add retry with exponential backoff for LLM providers Add retry logic with exponential backoff and jitter to both NearAiProvider and NearAiChatProvider for transient errors (HTTP 429, 500, 502, 503, 504). Extract shared retry helpers (is_retryable_status, retry_backoff_delay) into src/llm/retry.rs so both providers reuse the same logic. Configurable via NEARAI_MAX_RETRIES env var (default: 3). * docs: clarify max_retries means N retries, not N total attempts * warn when fallback model equals primary model * fix: saturating_mul in backoff delay, dedupe to_lowercase allocation --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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54e9206f0b |
feat: Move debug log truncation from agent loop to REPL channel (#65)
* feat: Move debug log truncation from agent loop to REPL channel Full tool output now flows through StatusUpdate so the web gateway gets untruncated content. The REPL channel truncates at display time (200 chars for tool results, thinking, and status messages). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: truncating fmt layer for terminal, full logs for web gateway Instead of truncating debug output at each LLM call site (fragile), use a custom MakeWriter on the fmt layer that caps each tracing event at 500 bytes before flushing to stderr. The web gateway WebLogLayer still receives full untruncated content for /api/logs/events SSE. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: UTF-8 safe truncation in truncate_for_preview, remove double truncation - Use char_indices() instead of byte-based slicing to find the cut point, preventing panics on multi-byte characters (emoji, CJK, etc.) - Remove redundant truncation in REPL channel (agent loop already truncates ToolResult previews to 200 chars) - Add 9 unit tests covering edge cases: empty, exact length, multi-byte UTF-8 (emoji, CJK), mixed scripts, newline collapsing, whitespace Addresses PR #65 review comments. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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5df0d13b59 |
Bump MSRV to 1.92, add GCP deployment files (#40)
* Bump MSRV to 1.92 and add GCP deployment files rig-core 0.30 uses let_chains (stabilized post-1.87), which breaks builds on Rust 1.85. Bump rust-version in Cargo.toml and both Dockerfiles to 1.92 (verified working). Add cloud deployment scaffolding: - Dockerfile: multi-stage build for the main agent container - deploy/cloud-sql-proxy.service: systemd unit for Cloud SQL Auth Proxy - deploy/ironclaw.service: systemd unit for the IronClaw container - deploy/setup.sh: VM bootstrap script (Docker, proxy, services) - deploy/env.example: reference environment configuration Co-Authored-By: Claude Opus 4.6 <[email protected]> * Address review feedback: harden deploy scaffolding - Add comment explaining GATEWAY_HOST=0.0.0.0 and when to use 127.0.0.1 - Document /opt/ironclaw ownership model (root-owned, Docker reads as root) - Switch cloud-sql-proxy service from User=root to DynamicUser=yes Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Resolve clippy lints (Rust 1.93) and fix CI test workflow - Fix 97 collapsible_if warnings using let-chains syntax (auto-fixed) - Fix ptr_arg: change &PathBuf to &Path in pairing store functions - Fix suspicious_open_options: add .truncate(false) to OpenOptions - Fix too_many_arguments: add clippy allow on execute_status - Fix unnecessary_unwrap: use if-let in repository.rs hybrid_search - Gate unused EchoTool with #[cfg(test)] - Add PairingStore argument to ChannelStoreData::new() test call sites - Add skip guard for bundled channel test when WASM artifacts unavailable - Split CI test workflow to exclude PostgreSQL-dependent integration tests Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address review feedback from ilblackdragon - Add root check to setup.sh (exits with error if not root) - Add warning comment to env.example about placeholder passwords - Dockerfile.worker already uses rust:1.92 (no change needed) - PR #41 overlap noted; will rebase after #41 merges Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: resolve 47 collapsible_if clippy warnings Collapse nested if statements across the codebase to satisfy clippy::collapsible_if on Rust 1.93. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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b3dee13954 |
fix: flatten tool messages for NEAR AI cloud-api compatibility (#41)
* fix: flatten tool messages for NEAR AI cloud-api compatibility NEAR AI cloud-api does not support the OpenAI multi-turn tool-calling protocol (role:"tool" messages cause HTTP 400). This adds a flatten_tool_messages() pass in NearAiChatProvider that rewrites assistant tool_call messages and tool result messages into plain assistant/user text before sending to the API. The model still sees the tool execution history, just in a text format it can process. Also includes a minor fix to telegram channel send_pairing_reply for updated WASM host function signature. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: resolve CI failures in fmt, rate limiting, and test configuration - Apply cargo fmt to nearai_chat.rs formatting violations - Fix truncate(true) bug in record_failed_approve that cleared the attempts file before reading, preventing rate limit from ever triggering - Skip bundled channel test when WASM build artifacts are unavailable (CI lacks wasm32-wasip2 target) - Split CI test workflow to exclude workspace_integration tests that require PostgreSQL Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: resolve clippy unnecessary_unwrap lint (Rust 1.93) Replace is_some() + unwrap() pattern with if-let binding to satisfy clippy::unnecessary_unwrap which is now deny-by-default. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: firat.sertgoz <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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ced83d5b4d |
feat: Sandbox jobs (#4)
* Orchestrating jobs and running them in sandboxes * Fix heartbeat: dynamic max_tokens, empty content guard, notification fallback - Query /v1/models API for context_length and set max_tokens to half (floor 4096) instead of hardcoded 1024; reasoning models like GLM-4.7 need much larger budgets - Guard against empty LLM content (reasoning models can burn all tokens on chain-of-thought and return content: null) - Simplify notification routing: try configured channel first, fall back to broadcast_all so heartbeat alerts always reach someone - Add ModelMetadata struct and model_metadata() to LlmProvider trait - Refactor NearAiChatProvider::list_models into shared fetch_models() - Add standalone test_heartbeat example for isolated debugging Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add job detail view with drill-down from jobs list Click a job row to see full details across four sub-tabs: Overview (metadata grid, description, state transitions timeline), Actions (expandable tool call cards with input/output JSON), Thinking (conversation messages styled by role), and Files (embedded workspace tree browser). Co-Authored-By: Claude Opus 4.6 <[email protected]> * Strip model-internal XML tags from LLM responses, fix Telegram parse_mode 400 Some models (GLM-4.7, etc.) emit <tool_call>tool_list</tool_call> in the content field instead of using the OpenAI tool_calls array. This XML leaks through to channels as text, and Telegram's Markdown parser chokes on the underscores, returning 400 "can't parse entities". Two fixes: - Generalize clean_response() to strip <tool_call>, <function_call>, <tool_calls>, and pipe-delimited variants (<|tool_call|>) alongside the existing <thinking> tag stripping - Add Telegram send_message helper with parse_mode fallback: try Markdown first, retry as plain text on "can't parse entities" 400 errors Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add SystemCommand submission type for thread-state-independent commands System commands (/help, /model, /version, /tools, /ping, /debug) now bypass thread-state checks and safety validation via a dedicated Submission::SystemCommand variant. Previously these flowed through process_user_input() which blocked them during Processing/AwaitingApproval /Completed states. - Add /model [name] for runtime model switching with provider validation - Add active_model_name()/set_model() to LlmProvider trait with RwLock hot-swap in both NEAR AI providers - Rewrite /help with aligned columns grouped by category - Expand REPL tab-completion from 10 to 23 slash commands - Remove REPL-local /help interception (now handled by agent) Co-Authored-By: Claude Opus 4.6 <[email protected]> * Add per-tool execution timeouts, auto-create sandbox project dirs, serve built files The sandbox e2e pipeline (agent -> container -> built website -> browsable URL) was broken by three gaps: hardcoded 60s timeouts killed sandbox jobs that need minutes, no auto-created project directory meant container output vanished, and no HTTP route to browse the built files. - Add `execution_timeout()` to the `Tool` trait (default 60s), replace all four hardcoded `Duration::from_secs(60)` call sites (agent_loop, worker, scheduler, worker/runtime) with the per-tool value - Override to 660s in `RunInSandboxTool` (10 min polling + 60s buffer) - Auto-create `~/.ironclaw/projects/{uuid}/` when no `project_dir` is specified, so every sandbox job gets a persistent bind mount - Include `project_dir` and `browse_url` in sandbox tool output JSON - Add `/projects/{id}` and `/projects/{id}/{path}` static file serving routes to the web gateway with path traversal protection and MIME type detection - Add `mime_guess` dependency for content-type detection Co-Authored-By: Claude Opus 4.6 <[email protected]> * Apply cargo fmt to wizard.rs after merge Co-Authored-By: Claude Opus 4.6 <[email protected]> * Persist sandbox jobs in DB, fix web UI, unify job model Sandbox container jobs were invisible to the web UI because they lived only in ContainerJobManager's in-memory HashMap while the API queried ContextManager. This persists them to the agent_jobs table and fixes all six front-end bugs (empty job list, broken back button, empty actions/thinking tabs, wrong files tab, stuck status, no persistence). Key changes: - V4 migration adds project_dir and user_id columns to agent_jobs - Embedded migrations via refinery (no external CLI needed) - SandboxJobRecord CRUD in Store with fire-and-forget DB writes - Unified job_id: sandbox tool generates UUID, passes to ContainerJobManager - Web API queries DB for sandbox jobs, merges with ContextManager direct jobs - New endpoints: restart, project file list/read with path traversal protection - Front-end: rebuild DOM on back navigation, sandbox-aware tabs, job cards in chat stream, source badges, restart button for failed/interrupted jobs - Gateway defaults to enabled, prints Web UI URL on startup - Stale jobs marked "interrupted" on restart for visibility and restartability Co-Authored-By: Claude Opus 4.6 <[email protected]> * Secure in-chat auth: tokens never touch the LLM or chat history Remove the token parameter from tool_auth so the LLM cannot pass raw API keys. Add dedicated REST (POST /api/chat/auth-token) and WebSocket (auth_token) endpoints that route tokens directly to ext_mgr.auth(), completely bypassing the message pipeline, turns, history, and compaction. Web UI shows an auth card (password input + OAuth button) when the agent enters auth mode, submitted via the dedicated endpoint. CLI auth mode interception is unchanged (already secure). New StatusUpdate::AuthRequired/AuthCompleted variants propagate through all channels (SSE, WebSocket, REPL, WASM). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add Claude Code mode for sandbox jobs Run Claude Code CLI inside Docker containers as an alternative to the standard worker mode. The bridge spawns `claude -p` with stream-json output, posts events to the orchestrator, and supports follow-up prompts via `--resume`. Key additions: - `claude-bridge` CLI subcommand and ClaudeBridgeRuntime - JobMode enum (Worker vs ClaudeCode) with per-mode container config - Orchestrator endpoints for Claude events and prompt polling - SSE event variants for real-time Claude Code streaming to frontend - Claude Code sub-tab in web UI with terminal-style output and input bar - Database migration for job_mode column and claude_code_events table - ClaudeCodeConfig with env var support (CLAUDE_CODE_ENABLED, etc.) - Mode parameter on run_in_sandbox tool schema Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Skip create_job tool when sandbox is enabled to prevent duplicate jobs When sandbox mode is on, the LLM would call create_job (creating a pending "direct" entry) then run_in_sandbox (creating a second "sandbox" entry), producing two jobs in the list for a single user request. Now register_job_tools() skips create_job when sandbox is enabled since run_in_sandbox already creates tracked jobs. Also improved the run_in_sandbox description to guide the LLM to use it directly and to mention wait=false for async execution. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Web gateway UI quality-of-life improvements Phase 1: Send button disabled state to prevent double-sends, copy button on code blocks, confirm() guards on destructive actions, SSE-driven job list auto-refresh, log filters re-applied on tab switch, jobEvents memory leak fix (cap at 500, cleanup after 60s). Phase 2: Toast notification system replacing chat-based system messages, memory search highlighting with centered snippets, keyboard shortcuts (Ctrl+1-5 tabs, Ctrl+K focus, Ctrl+N new thread, Escape close/blur), activity tab toolbar with event type filter and auto-scroll toggle. Phase 3: Thread sidebar with load/switch/create, thread_id passed with messages, collapsible to hamburger. Memory inline editing with textarea, Save/Cancel, POST to /api/memory/write. Phase 4: Gateway status popover on hover (polls every 30s), extension install form (name/URL/kind), markdown rendering in memory viewer for .md files, mobile responsive layout at 768px breakpoint. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add routines system, remove non-sandbox job mode from web UI Routines: scheduled & reactive job system with cron and event triggers, lightweight (single LLM call) and full-job execution modes, guardrails (cooldown, max concurrent, dedup), and LLM-facing tools for CRUD. Web UI: remove ContextManager-backed "direct" job mode entirely. Jobs are now exclusively sandbox-backed (DB + container). Simplify job detail response, drop dead types (ActionInfo, MessageInfo, MessageToolCallInfo), fix Browse Files CSS loading (trailing-slash redirect), fix Activity tab event rendering. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Re-enable chat input on agent completion, auto-auth on tool_activate, recover tool calls from content XML Three fixes: 1. Chat input stays disabled after agent finishes: the "Done" status SSE event now calls enableChatInput() as a safety net when the response event is empty or lost. Same for auth_completed and cancelAuth(). 2. tool_activate never triggers auth: when activation fails due to missing authentication, it now auto-initiates the auth flow (same pattern as the web API handler). detect_auth_awaiting() also matches tool_activate results now. 3. Models like GLM-4.7 emit tool calls as XML tags in content (<tool_call>tool_list</tool_call>) instead of using the structured tool_calls array. recover_tool_calls_from_content() extracts and validates these before falling back to plain text. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Add routines web UI tab, update docs for sandbox-jobs branch Add full routines management to the web gateway (list, detail, trigger, toggle, delete) with 7 new API endpoints, response types, and frontend (HTML, JS, CSS). Update FEATURE_PARITY.md (~23 rows), CLAUDE.md (new subsystems, config, TODOs), and README.md (architecture diagram, features, components, fix onboard command). Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Bind Telegram bot to owner account during setup Without owner binding, anyone who discovers the bot can send it messages. The setup wizard now prompts the user to message their bot, captures their Telegram user ID via getUpdates, and persists it as telegram_owner_id in settings. On startup, the owner_id is injected into the WASM channel config so the existing owner restriction logic drops messages from non-owners. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Move settings from disk to PostgreSQL database Settings previously lived in three JSON files on disk (settings.json, mcp-servers.json, session.json). This made them inaccessible from the web UI and caused redundant disk reads (Settings::load() called 8+ times during startup). Now all settings live in a `settings` table (user_id + key -> JSONB) with only 4 bootstrap fields remaining on disk (database_url, pool size, secrets key source, onboard_completed) since they're needed before the DB connection exists. - Add V8 migration for settings table - Add BootstrapConfig (thin disk file) and Settings DB round-trip - Add Store CRUD methods for settings (get/set/delete/list/bulk) - Refactor Config to load from DB (env > DB > default cascade) - Add SessionManager DB persistence for session tokens - Add DB-backed MCP server config load/save functions - Add 6 settings web API endpoints (list/get/set/delete/export/import) - Add one-time disk-to-DB migration on first boot - Make CLI config commands async with DB access (disk fallback) Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Seed workspace on boot, fix gateway duplicate logs and URL auto-auth - Add Workspace::seed_if_empty() to create core identity files (README, MEMORY, IDENTITY, SOUL, AGENTS, USER, HEARTBEAT) when missing, called on every boot without overwriting existing user edits - Remove duplicate gateway log lines from web/mod.rs (main.rs has the useful clickable ?token= URL) - Auto-authenticate from ?token= URL parameter in the web UI and strip the token from the address bar after successful auth Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Harden sandbox security (path traversal + orchestrator auth) Two vulnerabilities fixed: 1. project_dir path traversal: The create_job tool let the LLM specify arbitrary host paths for Docker bind mounts. Removed project_dir from the tool schema entirely, and added canonicalization + prefix validation at both resolve_project_dir() and the job_manager bind mount point. 2. Orchestrator API auth bypass: worker_auth_middleware was defined but never applied. Each handler manually called validate_token(), so any new endpoint that forgot would be publicly accessible. Applied the middleware as route_layer on all /worker/ routes, removed manual auth from all 7 handlers. Bind to 127.0.0.1 on macOS/Windows (Linux keeps 0.0.0.0 since containers reach host via docker bridge, not loopback). Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Rework gateway chat with pinned assistant, pagination, and NEAR AI response chaining Implements the 4-phase plan for overhauling the web gateway chat: - Phase 1: Pinned "Assistant" thread at top of sidebar, regular threads below - Phase 2: Cursor-based history pagination with infinite scroll - Phase 3: NEAR AI previous_response_id chaining (delta-only messages), with fallback to full history on chain errors, and DB persistence of chain state across restarts - Phase 4: SSE thread isolation (events filtered by thread_id) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Add per-request HTTP timeout to WASM host, redact credentials in errors Three fixes for WASM channel reliability: 1. Per-request timeout: Add optional timeout-ms parameter to http-request in both channel and tool WIT interfaces. Telegram long-poll now specifies 35s (outliving the 30s server-side hold), while regular API calls use the 30s default. Fixes the triple-30s timeout race that caused polling failures. 2. Credential redaction: reqwest::Error includes the full URL (with injected bot tokens) in its Display output. Scrub credential values from error messages before logging or returning to WASM. 3. Webhook route registration: Remove tunnel URL gate so webhook routes are always available when webhook channels exist, not only when TUNNEL_URL is configured. Co-Authored-By: Claude Opus 4.6 <[email protected]> * chore: Fix clippy warnings in WASM tools and channels - slack channel: allow dead_code on signing_secret_name (forward compat field) - gmail tool: use div_ceil() instead of manual (n+2)/3 - google-calendar tool: extract CreateEventParams/UpdateEventParams structs to fix too-many-arguments warnings Co-Authored-By: Claude Opus 4.6 <[email protected]> * Fix approval flow * fix: Rebuild bundled telegram.wasm with updated WIT interface The bundled WASM binary must match the host's WIT definition. Previous binary was compiled against the old 4-arg http-request; this rebuild includes the new timeout-ms parameter. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: Load WASM channels from disk instead of bundling in binary Remove include_bytes! embedding of telegram.wasm. Channels are now loaded from their build output directories (channels-src/<name>/target/) during onboarding, then from ~/.ironclaw/channels/ at runtime. - bundled.rs: locate_channel_artifacts() finds WASM + capabilities from build output; IRONCLAW_CHANNELS_SRC env var overrides the default path - available_channel_names(): only lists channels with build artifacts - bundled_channel_names(): lists all known channels (manifest) - Setup wizard uses available_channel_names() to offer installable channels - Add *.wasm to .gitignore, remove tracked telegram.wasm Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Persist gateway auth token, fix thread hydration race, polish auth screen Three web gateway UX fixes: 1. Token persistence: Store auth token in sessionStorage so refreshing the page doesn't force re-authentication. Hide the auth screen immediately when a saved token exists to prevent flash. 2. Thread hydration: Remove the !msgs.is_empty() bail-out in maybe_hydrate_thread so that even brand-new (empty) assistant threads get hydrated with their correct DB UUID. Previously resolve_thread would mint a fresh UUID, causing messages to land in the wrong conversation and duplicate threads to appear. 3. Auth screen: Redesign as a centered card with brand, tagline, labeled input, and hint text. Also adds 34 new tests covering session/thread lifecycle, thread resolution isolation (user, channel, external ID), hydration edge cases, serialization round-trips, approval flows, and stale mapping recovery. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Use bindgen! for WASM tool wrapper, add dev tool loading Three changes: 1. Rewrite src/tools/wasm/wrapper.rs to use wasmtime::component::bindgen! instead of manual linker.root().func_wrap(). This fixes the "component imports instance 'near:agent/host', but a matching implementation was not found in the linker" error. All 6 host functions (log, now-millis, workspace-read, http-request, secret-exists, tool-invoke) are now properly registered under the near:agent/host namespace. Also adds WASI support, credential injection, and leak detection for HTTP requests made by WASM tools. 2. Add dev tool loading to src/tools/wasm/loader.rs. During startup, the loader now also scans tools-src/*/target/wasm32-wasip2/release/ for build artifacts that are newer than installed copies. This means during development you just rebuild the WASM and restart the host; no manual copy step needed. Set IRONCLAW_TOOLS_SRC to override the source dir. 3. Wire up load_dev_tools() in main.rs alongside the existing load_from_dir() call. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Wire main startup and CLI to use DB-backed settings main.rs now reloads Config from the database after connecting, attaches the store to the session manager for dual-write tokens, and loads MCP servers from DB instead of disk. ExtensionManager and MCP CLI commands use DB when available with disk fallback. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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Illia PolosukhinandClaude Opus 4.6
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bf3b8b339f |
Fix MCP tool calls, approval loop, shutdown, and improve web UI
- Fix MCP tool schema deserialization: rename input_schema to match protocol's camelCase inputSchema, so models receive actual parameter schemas instead of empty defaults - Fix conversation history: add tool_calls field to ChatMessage and include assistant message with tool_calls before tool results, as required by OpenAI-compatible APIs - Fix approval loop: pass resume_after_tool flag to run_agentic_loop so the "force tool use" heuristic doesn't re-trigger after approval - Fix shutdown: add Submission::Quit, Ctrl+C signal handler, and graceful shutdown flow - Fix MCP activate button: auto-attempt auth flow when activation fails due to missing authentication - Add inline approval cards in chat via SSE ApprovalNeeded events - Add markdown rendering in chat (marked.js) with proper streaming - Add structured fields to log entries (key=value pairs from tracing) - Collapse log entries to single line with click-to-expand Co-Authored-By: Claude Opus 4.6 <[email protected]> |
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Illia PolosukhinandClaude Opus 4.5
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7ef6362d83 |
Add Chat Completions API support and expand REPL debugging
- Add NearAiChatProvider using /v1/chat/completions endpoint with API key auth - Add NEARAI_API_KEY and NEARAI_API_MODE config options - Auto-detect API mode from presence of API key - Keep existing Responses API (NearAiProvider) for session-based auth - Fix response parsing to accept input_text/output_text/text content types - Expand REPL with /help, /debug toggle, colored output - Better tool status display (dots vs verbose based on debug mode) Co-Authored-By: Claude Opus 4.5 <[email protected]> |