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189fc031e36f2a9a9ea82673e49680bcee6244ff
32
Commits
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6232609080 |
feat(llm): add GitHub Copilot as LLM provider (#1512)
* Add github copilot as LLM provider.
* Fix Copilot in Openclaw
* security: harden Copilot OAuth token handling
C1: Use secrecy::SecretString for oauth_token and cached session token
in CopilotTokenManager/CachedCopilotToken. Expose only at HTTP
header injection point via .expose_secret().
C2: Document risks of hardcoded VS Code OAuth client ID and editor
identity headers (ToS, rotation, staleness). Remove the unreliable
paste-token setup path (setup_github_copilot_manual_token).
C3: Fix TOCTOU race in get_token() — re-check token validity after
acquiring write lock so concurrent callers don't all perform
redundant token exchanges.
I1: Remove dead empty else {} block in get_token().
I2: Map 401 responses to LlmError::AuthFailed instead of RequestFailed
so retry/circuit-breaker logic handles auth failures correctly.
I3: Replace prepare_github_copilot_setup() with call to existing
set_llm_backend_preserving_model() helper to avoid logic drift.
I4: Add unit tests for CopilotTokenManager (caching, invalidation,
expiry/buffer behavior), poll response parsing (all OAuth device
flow states), and DeviceCodeResponse/CopilotTokenResponse deserialization.
Co-authored-by: Copilot <[email protected]>
* fix: address review feedback and code improvements (takeover #1202)
- Fix ContentPart::Text being silently dropped in convert_messages
- Replace custom truncate_for_error with crate::util::floor_char_boundary
- Fix CLAUDE.md: accurately describe dedicated provider (not "OpenAI-compatible path")
- Fix "Github" -> "GitHub" capitalization in READMEs
- Add manual token paste option to setup wizard (not just device login)
- Fix missing extension_manager field in EngineContext (merge fixup)
- cargo fmt applied
Co-Authored-By: fallenwood <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
* fix: address PR review feedback for GitHub Copilot provider
- Plumb request_timeout_secs into GithubCopilotProvider (was hardcoded 120s)
- Forward stop_sequences to Copilot API via OpenAI `stop` field
- Skip empty text part in multimodal message conversion
- Improve paste-token wizard hint with specific file path guidance
Co-Authored-By: fallenwood <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
* fix: 401 retry, retryable token exchange errors, shared retry-after parsing
- Retry once inline on 401 after token invalidation (was returning
AuthFailed immediately, guaranteeing user-visible failure)
- Map token exchange failures to RequestFailed (retryable) instead of
AuthFailed (non-retryable by RetryProvider)
- Use shared crate::llm::retry::parse_retry_after for HTTP-date support
and safe 60s default
- Improve paste-token wizard hint: mention `gh auth token` as primary source
Co-Authored-By: fallenwood <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
* fix: 401 retry error mapping, retry status logging, token whitespace safety
- Map 401 retry get_token() failure to RequestFailed (retryable),
consistent with initial token acquisition path
- Log retry response status before returning AuthFailed
- Trim oauth_token in exchange_copilot_token to prevent header panics
from whitespace in env vars
Co-Authored-By: fallenwood <[email protected]>
Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
---------
Co-authored-by: Fallenwood <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: fallenwood <[email protected]>
Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
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3da9810e87 |
feat(llm): Add OpenAI Codex (ChatGPT subscription) as LLM provider (#1461)
* feat(llm): add OpenAI Codex backend config and OAuth session manager Add OpenAiCodex as a new LLM backend variant with config for auth endpoint, API base URL, client ID, and session persistence path. The session manager implements OpenAI's device code auth flow (headless-friendly, no browser required on the server) with automatic token refresh, following the same persistence pattern as the existing NEAR AI session manager. Closes #742 Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(llm): add Responses API client and token-refreshing decorator Native Responses API client for chatgpt.com/backend-api/codex/responses, the endpoint that works with ChatGPT subscription tokens. Handles SSE streaming, text completions, and tool call round-trips. Token-refreshing decorator wraps the provider to pre-emptively refresh OAuth tokens before API calls and retry once on auth failures. Reports zero cost since billing is through subscription. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat(llm): wire OpenAI Codex into provider factory, CLI, and setup wizard Connect the new provider to the LLM factory, add openai_codex to the CLI --backend flag, and add it as an option in the onboarding wizard. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix(llm): address PR #744 review feedback (20 items) Review fixes for the OpenAI Codex provider PR: - Remove dead `generate_pkce()` code (device flow gets PKCE from server) - Fix `refresh_tokens()` to use `.form()` instead of `.json()` per OAuth spec - Inline codex dispatch into `build_provider_chain()` (single async function, no separate `assemble_provider_chain()` helper — matches main's pattern) - Remove Clone from `OpenAiCodexSession`, restrict fields to `pub(crate)` - Propagate HTTP client builder error instead of silent fallback - Redact device code response body from debug log - Change `set_model()` in TokenRefreshingProvider to delegate to inner - Replace hardcoded `/tmp/` test path with `tempfile::tempdir()` - Accept `request_timeout_secs` from config instead of hardcoded 300s - Parse `Retry-After` header on 429 responses (matches nearai_chat.rs pattern) - Reuse `normalize_schema_strict()` for Codex tool definitions - Add warning log for dropped image attachments - Add doc comments on `list_models()` and `include` field - Add `OPENAI_CODEX_API_URL` to `.env.example` - Fix codex error message in `create_llm_provider()` for clarity - Revert unrelated `.worktrees` addition to `.gitignore` - Update `src/llm/CLAUDE.md` with Codex provider docs [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review feedback and harden OpenAI Codex provider (takeover #744) Security: - Add SSRF validation (validate_base_url) on OPENAI_CODEX_AUTH_URL and OPENAI_CODEX_API_URL, matching the pattern used by all other base URL configs (regression test for #1103 included) Correctness: - Add missing cache_write_multiplier() and cache_read_discount() trait delegation in TokenRefreshingProvider - Cap device-code polling backoff at 60s to prevent unbounded interval growth on repeated 429 responses - Default expires_in to 3600s when server returns 0, preventing immediately-expired sessions - Fix pre-existing SseEvent::JobResult missing fallback_deliverable field in job_monitor.rs tests Cleanup: - Extract duplicated make_test_jwt() and test_codex_config() into shared codex_test_helpers module Co-Authored-By: Sanjeev-S <[email protected]> Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> * fix: address PR review feedback on OpenAI Codex provider (#1461) - Login command now resolves OPENAI_CODEX_* env overrides even when LLM_BACKEND isn't set to openai_codex (Copilot review) - Setup wizard "Keep current provider?" for codex no longer re-triggers device code login — mirrors Bedrock's keep-and-return pattern (Copilot) - Revert provider init log from info back to debug (Copilot) - Add warning log when token expires_in=0, before defaulting to 3600s (Gemini review) Co-Authored-By: Sanjeev-S <[email protected]> Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]> --------- Co-authored-by: Sanjeev Suresh <[email protected]> Co-authored-by: Claude Opus 4.6 <[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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OctopusandGitHub
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2d0b195321 |
feat: upgrade MiniMax default model to M2.7 (#1357)
* feat: upgrade MiniMax default model to M2.7 - Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list - Set MiniMax-M2.7 as default model - Keep all previous models as alternatives - Update related tests * fix: use canonical model name in test per review Use MiniMax-M2.7-highspeed (canonical casing) in the reasoning models test for consistency with the documentation and provider configuration. [skip-regression-check] |
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ZeroTrustandGitHub
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1b59eb6b39 |
feat: Reuse Codex CLI OAuth tokens for ChatGPT backend LLM calls (#693)
* feat: add Codex auth.json token reuse for LLM authentication When LLM_USE_CODEX_AUTH=true, IronClaw reads the Codex CLI's auth.json (default ~/.codex/auth.json) and extracts the API key or OAuth access token. This lets IronClaw piggyback on a Codex login without implementing its own OAuth flow. New env vars: - LLM_USE_CODEX_AUTH: enable Codex auth fallback (default: false) - CODEX_AUTH_PATH: override path to auth.json * fix: handle ChatGPT auth mode correctly Switch base_url to chatgpt.com/backend-api/codex when auth.json contains ChatGPT OAuth tokens. The access_token is a JWT that only works against the private ChatGPT backend, not the public OpenAI API. Refactored codex_auth.rs to return CodexCredentials (token + is_chatgpt_mode) instead of just a string key. * fix: Codex auth takes highest priority over secrets store When LLM_USE_CODEX_AUTH=true, Codex credentials are now loaded before checking env vars or the secrets store overlay. Previously the secrets store key (injected during onboarding) would shadow the Codex token. * feat: Responses API provider for ChatGPT backend - New CodexChatGptProvider speaks the Responses API protocol - Auto-detects model from /models endpoint (gpt-4o -> gpt-5.2-codex) - Adds store=false (required by ChatGPT backend) - Error handling with timeout for HTTP 400 responses - Message format translation: Chat Completions -> Responses API - SSE response parsing for text, tool calls, and usage stats - 7 unit tests for message conversion and SSE parsing * fix: SSE parser uses item_id instead of call_id for tool call deltas The Responses API sends function_call_arguments.delta events with item_id (e.g. fc_...) not call_id (e.g. call_...). The parser now keys pending tool calls by item_id from output_item.added and tracks call_id separately for result matching. * fix: strip empty string values from tool call arguments gpt-5.2-codex fills optional tool parameters with empty strings (e.g. timestamp: ""), which IronClaw's tool validation rejects. Strip them before passing to tool execution. * fix: prevent apiKey mode fallback to ChatGPT token When auth_mode is explicitly 'apiKey' but the key is missing/empty, do not fall through to check for a ChatGPT access_token. This prevents returning credentials with is_chatgpt_mode: true and routing to the wrong LLM provider. * refactor: reuse single reqwest::Client across model discovery and LLM calls Create Client once in with_auto_model, pass &Client to fetch_default_model, and move it into the provider struct. Eliminates the redundant Client::new() that wasted a connection pool. * fix: bump client_version to 1.0.0 to unlock gpt-5.3-codex and gpt-5.4 The /models endpoint gates newer models behind client_version. Version 0.1.0 only returns up to gpt-5.2-codex, while 1.0.0+ also returns gpt-5.3-codex and gpt-5.4. * feat: user-configured LLM_MODEL takes priority over auto-detection Fetch the full model list from /models endpoint. If LLM_MODEL is set, validate it against the supported list and warn with available models if not found. If LLM_MODEL is not set, auto-detect the highest-priority model. Also bumps client_version to 1.0.0 to unlock gpt-5.3/5.4. * fix: add 10s timeout to model discovery HTTP request Prevents startup from blocking indefinitely if chatgpt.com is slow or unreachable. Uses reqwest per-request timeout. * docs: add private API warning for ChatGPT backend endpoint The chatgpt.com/backend-api/codex endpoint is private and undocumented. Add warning in module docs and a runtime log on first use to inform users of potential ToS implications. * feat: implement OAuth 401 token refresh for Codex ChatGPT provider On HTTP 401, if a refresh_token is available, the provider now automatically refreshes the access token via auth.openai.com/oauth/token (same protocol as Codex CLI) and retries the request once. Refreshed tokens are persisted back to auth.json. Changes: - codex_auth: read refresh_token, add refresh_access_token() and persist_refreshed_tokens() - codex_chatgpt: RwLock for api_key, 401 detection + retry in send_request, send_http_request helper - config/llm: thread refresh_token/auth_path through RegistryProviderConfig - llm/mod: pass refresh params to with_auto_model * refactor: lazy model detection via OnceCell, remove block_in_place Model is no longer resolved during provider construction. Instead, resolve_model() uses tokio::sync::OnceCell to lazily fetch from /models on the first LLM call. This eliminates the block_in_place + block_on workaround in create_codex_chatgpt_from_registry. - with_auto_model (async) -> with_lazy_model (sync constructor) - resolve_model() added with OnceCell-based lazy init - build_request_body takes model as parameter - model_name() returns resolved or configured_model as fallback * feat: support multimodal content (images) in Codex ChatGPT provider message_to_input_items now checks content_parts for user messages. ContentPart::Text maps to input_text and ContentPart::ImageUrl maps to input_image, matching the Responses API format used by Codex CLI. Falls back to plain text when content_parts is empty. Also updates client_version to 0.111.0 for /models endpoint. Adds test: test_message_conversion_user_with_image * refactor: move codex_auth module from src/ to src/llm/ codex_auth is only used by the LLM layer (codex_chatgpt provider and config/llm). Moving it under src/llm/ reflects its actual scope. - Remove pub mod codex_auth from lib.rs - Add pub mod codex_auth to llm/mod.rs - Update imports: super::codex_auth, crate::llm::codex_auth * Fix codex provider style issues * Use SecretString throughout codex auth refresh flow * Use SecretString for codex access tokens * Reuse provider client for codex token refresh * Stream Codex SSE responses incrementally * Fix Windows clippy and SQLite test linkage * Trigger checks after regression skip label * Tighten codex auth module handling |
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863702a87a |
feat: add MiniMax as a built-in LLM provider (#940)
Add MiniMax to the provider registry with OpenAI-compatible protocol. Available models: - MiniMax-M2.5 (default) - 204,800 token context window - MiniMax-M2.5-highspeed - same performance, faster inference Configuration: LLM_BACKEND=minimax MINIMAX_API_KEY=<your-key> Supports both global (api.minimax.io) and China mainland (api.minimaxi.com) endpoints via MINIMAX_BASE_URL env var. Co-authored-by: PR Bot <[email protected]> |
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Zaki ManianandGitHub
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195ff44b1a | fix(security): migrate webhook auth to HMAC-SHA256 signature header (#970) | ||
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8bbb43da52 |
fix(security): require explicit SANDBOX_ALLOW_FULL_ACCESS to enable FullAccess policy (#967)
* fix(security): require explicit SANDBOX_ALLOW_FULL_ACCESS to enable FullAccess policy FullAccess policy bypasses Docker entirely and runs commands via sh -c directly on the host. Previously, setting SANDBOX_POLICY=full_access alone was sufficient to enable this, which could be triggered accidentally or via prompt injection if tool approval is bypassed. This adds a double opt-in guard: - New SANDBOX_ALLOW_FULL_ACCESS=true env var must ALSO be set for FullAccess to take effect. Without it, the policy is downgraded to WorkspaceWrite with a tracing::error! log. - At execution time, every FullAccess command emits a tracing::warn! with the command and working directory for audit visibility. - The FullAccess variant now documents its blast radius (host shell, unrestricted filesystem/network/environment). - SandboxConfig and SandboxModeConfig gain an allow_full_access field, wired through from_env() and the builder. Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * fix(sandbox): address review feedback on FullAccess double opt-in - Add doc comment on builder .policy() warning that FullAccess requires .allow_full_access(true) or execution will return SandboxError::Config - Sanitize audit log: log only binary name instead of full command to prevent secret leakage; add [FullAccess] prefix for grep-ability - Add test_builder_full_access_without_allow_returns_error test covering the builder path without explicit allow_full_access(true) - Fix doc comment mismatch: config.rs and SandboxPolicy::FullAccess docs said "will downgrade to WorkspaceWrite" but runtime returns SandboxError::Config -- aligned docs with actual behavior Co-Authored-By: Claude Sonnet 4.6 <[email protected]> * fix: merge duplicate mod tests; add allow_full_access to struct initializers After upstream merge, src/config/sandbox.rs had two issues: - Duplicate mod tests block (upstream's original tests at line 271 + our new FullAccess guard tests at line 478) caused E0428 compile error - Upstream test struct literals for SandboxModeConfig were missing the new allow_full_access field (E0063) Fixes: merge the two mod tests into one; add allow_full_access: false to the sandbox_mode_config_custom_values and sandbox_mode_to_sandbox_config test struct initializers. Co-Authored-By: Claude Sonnet 4.6 <[email protected]> --------- Co-authored-by: Gabe Hamilton <[email protected]> Co-authored-by: Claude Sonnet 4.6 <[email protected]> |
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83950d11a4 |
fix: job token budget, iteration cap → Failed, web cancel stops worker (#788)
* feat: persist user_id in save_job and expose job_id on routine runs (#709) * feat: persist worker events to DB and fix activity tab rendering In-process Worker (used by Scheduler::dispatch_job) now persists events via save_job_event at key execution points: plan creation, LLM responses, tool_use, tool_result, and job completion/failure/stuck. Event data shapes match the container worker format so the gateway activity tab renders them correctly. Frontend: tool_result errors now show a red X icon with danger styling instead of a silent empty output. The result event falls back to the error field when message is absent. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: wire RoutineEngine into gateway for direct manual trigger firing Replace the message-channel hack in routines_trigger_handler with a direct call to RoutineEngine::fire_manual(), ensuring FullJob routines dispatch correctly when triggered from the web UI. Inject the engine into GatewayState from Agent::run after construction. Also persists user_id in save_job for both PG and libSQL backends, removes the source='sandbox' filter so all jobs are visible, and exposes job_id on RoutineRunInfo for the frontend job link. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: remove stale gateway_state argument from Agent::new test call sites The gateway_state parameter was removed from Agent::new during rebase (replaced by post-construction set_routine_engine_slot), but three test call sites still passed the extra None argument. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review — restore sandbox source filter, remove blank lines - Revert removal of `source = 'sandbox'` filter in all SandboxStore queries (8 sites across PG and libSQL). Sandbox-specific APIs should stay scoped to sandbox jobs; unified job listing for the Jobs tab should use a separate query path. - Remove extra blank lines in agent_loop.rs and worker.rs that caused formatting CI failure. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address review — regenerate Cargo.lock, add user_id regression test - Regenerate Cargo.lock from main's lockfile to eliminate dependency version downgrades (anyhow, syn, etc.) that were churn from rebase. - Add regression test verifying user_id round-trips through save_job and get_job in the libSQL backend. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: remove trailing blank line in libsql jobs.rs [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add Postgres-side regression test for user_id persistence in save_job Mirrors the existing libSQL test (test_save_job_persists_user_id) for the Postgres backend. Gated behind #[cfg(feature = "postgres")] + #[ignore] since it requires a running PostgreSQL instance (integration tier). Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> * fix: add job token budget, change iteration cap to Failed, fix web cancel (#698) Jobs could enter infinite retry loops because: (1) no token budget was enforced, (2) iteration cap marked jobs as Stuck (allowing self-repair to restart them), and (3) the web UI cancel button only updated the DB without stopping the running worker. - Add `max_tokens_per_job` config (settings.json + AGENT_MAX_TOKENS_PER_JOB env var, default 0 = unlimited) with per-job metadata override - Track token usage after respond_with_tools() and fail the job on budget exceeded - Change iteration cap and persistent rate limiting from mark_stuck to mark_failed, preventing self-repair restart loops - Fix web cancel handler to call scheduler.stop() which updates in-memory state AND aborts the worker task, falling back to DB-only update Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR review — always persist cancel to DB, simplify token check - Cancel handler now always persists Cancelled to DB regardless of whether scheduler.stop() ran, fixing the edge case where stop() returns Ok(()) for jobs not in the scheduler map - Collapse nested ifs per clippy (let-chains) - Add NOTE comment about select_tools() not exposing TokenUsage [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: rustfmt formatting in wizard.rs (pre-existing) [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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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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11c5e25422 |
feat(setup): Anthropic OAuth onboarding with setup-token support (#384)
* feat(setup): add Anthropic OAuth and Codex OAuth onboarding flows Add OAuth token authentication as an alternative to API keys during onboarding for both Anthropic (via `claude login`) and OpenAI/Codex (via `~/.codex/auth.json`). Key changes: - New `AnthropicOAuthProvider` using `Authorization: Bearer` header (rig-core hardcodes `x-api-key` which rejects OAuth tokens) - Wizard auth method selector: "Direct API Key" vs "OAuth Token" for both Anthropic and OpenAI providers - Codex token extraction from `$CODEX_HOME/auth.json` / `~/.codex/auth.json` - Claude Code sandbox sub-step in Docker setup (checks for credentials) - Secret injection mappings for `ANTHROPIC_OAUTH_TOKEN` and `CODEX_OAUTH_TOKEN` - `CODEX_OAUTH_TOKEN` falls back to `OPENAI_API_KEY` (same Bearer auth) Supersedes #143 which had a broken auth flow (OAuth token sent as x-api-key → 401). Credit to @bigguybobby for the original approach. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: persist OAuth tokens in bootstrap .env and re-extract at startup OAuth tokens stored only in the secrets DB were invisible to Config::from_env() which runs before the DB connects (chicken-and-egg). Two fixes: 1. write_bootstrap_env() now persists ANTHROPIC_OAUTH_TOKEN and CODEX_OAUTH_TOKEN to ~/.ironclaw/.env (same pattern as NEARAI_API_KEY) 2. main.rs re-extracts a fresh token from the OS credential store (macOS Keychain / ~/.claude/.credentials.json) before config resolution, handling token expiry (8-12h) gracefully Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: persist all LLM credentials in bootstrap .env, not just NEAR AI All providers had the same chicken-and-egg issue: API keys stored in the secrets DB were invisible to Config::from_env() which runs before DB connects. Only NEARAI_API_KEY was written to bootstrap .env. Now write_bootstrap_env() persists all credential env vars: NEARAI_API_KEY, ANTHROPIC_API_KEY, ANTHROPIC_OAUTH_TOKEN, OPENAI_API_KEY, CODEX_OAUTH_TOKEN, LLM_API_KEY, TINFOIL_API_KEY. Also: setup_api_key_provider() now sets the env var during the wizard session so write_bootstrap_env() can pick it up. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address security review findings for OAuth onboarding - Extract "oauth-placeholder" to named OAUTH_PLACEHOLDER constant shared across config and wizard to prevent silent drift - Document plaintext credential tradeoff in write_bootstrap_env (API keys stored with 0o600 permissions, recommend full-disk encryption) - Add blocking "Press Enter" wait in Anthropic OAuth retry flow so user has time to run `claude login` in another terminal - Add escape hatch from manual OAuth paste back to API key flow (empty input switches to setup_api_key_provider) - Fix Retry-After header: parse u64 seconds into Duration before passing to LlmError::RateLimited - Make config::llm module pub(crate) for constant visibility - Use .bearer_auth() instead of manual format!("Bearer {}") - Remove response body from debug log (may contain PII) - Update Anthropic API version to 2024-10-22 Co-Authored-By: Claude Opus 4.6 <[email protected]> * security: remove plaintext credentials from bootstrap .env Credentials (API keys, OAuth tokens) were being written in plaintext to ~/.ironclaw/.env to work around a chicken-and-egg problem: Config::from_env() runs before the encrypted secrets DB is connected. Instead of storing secrets on disk, LlmConfig::resolve() now defers gracefully when credentials are missing — it returns None for the provider config instead of hard-erroring with MissingRequired. After the DB connects, AppBuilder::build_all() loads secrets from encrypted storage via inject_llm_keys_from_secrets() and re-resolves the config. For Anthropic OAuth tokens (which expire in 8-12h), the secret injection step also tries the OS credential store (macOS Keychain / Linux credentials.json) for a fresh token, overriding the potentially stale copy in the DB. Changes: - LlmConfig::resolve(): OpenAI, Anthropic, OpenAI-compatible, and Tinfoil all return None instead of MissingRequired when credentials are absent - write_bootstrap_env(): no longer writes any credential env vars - inject_llm_keys_from_secrets(): refreshes Anthropic OAuth from OS credential store before overlay is finalized - main.rs: removed OAuth re-extraction hack (no longer needed) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: load OS credential store tokens even without secrets DB The OAuth token extraction from macOS Keychain / Linux credentials files was only running inside inject_llm_keys_from_secrets(), which requires the encrypted secrets DB. When no master key is configured, init_secrets() returned early — skipping both DB secret loading AND OS credential store extraction, leaving the Anthropic OAuth token unavailable. Split into two paths: - inject_llm_keys_from_secrets(): loads from encrypted DB + OS stores - inject_os_credentials(): loads from OS stores only (no DB needed) init_secrets() now calls inject_os_credentials() and re-resolves config even in the no-master-key early-return path, so `claude login` tokens are always available regardless of secrets DB state. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add anthropic-beta header required for OAuth authentication Anthropic's api.anthropic.com requires the `anthropic-beta: oauth-2025-04-20` header to accept OAuth Bearer tokens. Without it, the API returns 401 "OAuth authentication is currently not supported." Also reverts API version to 2023-06-01 since the OAuth beta flag does not support the 2024-10-22 version (returns 400 "not a valid version"). This was the same bug that caused PR #143's 401 errors — the beta header was missing entirely. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Anthropic and OpenAI model resolution respects selected_model The Anthropic and OpenAI config resolution ignored settings.selected_model entirely, only checking the provider-specific env var (ANTHROPIC_MODEL, OPENAI_MODEL) and falling back to a hardcoded default. This meant the model chosen during onboarding wizard was silently overridden. Now follows the same pattern as NearAI and OpenAI-compatible: env var > settings.selected_model > hardcoded default. Also deduplicated the Anthropic config construction (two identical branches for API key vs OAuth now share model/base_url resolution). Co-Authored-By: Claude Opus 4.6 <[email protected]> * test: add provider resolution tests for all LLM backends Covers deferred resolution (no credentials → None instead of error), credential presence, model selection fallback chain, and OAuth token routing for Anthropic, OpenAI, Tinfoil, Ollama, and NearAI. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: handle nested tokens.access_token format in Codex auth.json Codex CLI stores OAuth tokens in a nested format under tokens.access_token (ChatGPT OAuth flow), not at the top level. Also adds ENV_MUTEX to Codex token tests for thread safety. Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor: remove Codex OAuth onboarding (incompatible with OpenAI API) Codex CLI OAuth tokens use a different endpoint (chatgpt.com/backend-api/codex) and the Responses API wire format, not api.openai.com with Chat Completions. The tokens lack the model.request scope needed for the platform API, so they can't be used as drop-in OPENAI_API_KEY replacements. Removes: extract_codex_oauth_token(), wizard Codex OAuth flow, CODEX_OAUTH_TOKEN env var support, and related tests. OpenAI onboarding now uses direct API key only. Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: fix formatting for CI (cargo fmt) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address Gemini review feedback - Use ? operator for ANTHROPIC_MODEL/BASE_URL env resolution instead of .ok().flatten() to propagate ConfigErrors consistently - Skip Tool messages without tool_call_id with a warning instead of using unwrap_or_default() which would send empty string to Anthropic - Extract credential check into closure to reduce duplication in Claude Code sandbox setup Co-Authored-By: Claude Opus 4.6 <[email protected]> * refactor(review): address PR review feedback for OAuth onboarding - Gate ANTHROPIC_OAUTH_TOKEN resolution to Anthropic provider only (was needlessly checked for all registry providers) - Add 3 regression tests for OAuth config resolution: - oauth_token sets placeholder api_key - real api_key takes priority over oauth - non-Anthropic providers don't pick up oauth_token - Validate OAuth token prefix (sk-ant-oat) in wizard to catch accidentally pasted API keys - Improve error body read handling in AnthropicOAuthProvider (was silently swallowing read errors with unwrap_or_default) - Remove extra blank line in write_bootstrap_env - Remove stale blank line in RegistryProviderConfig doc comment [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #384 review comments Blocker: - Replace OnceLock<HashMap> with LazyLock<Mutex<HashMap>> for INJECTED_VARS so both inject_os_credentials() and inject_llm_keys_from_secrets() merge data instead of the second caller silently dropping its entries. High: - Add 401 retry with OS credential store re-extraction in AnthropicOAuthProvider, recovering from expired OAuth tokens (~8-12h) without manual intervention. - Fix comment in app.rs: ~/.codex/auth.json → ~/.claude/.credentials.json. Medium: - Remove unsafe { std::env::set_var } from wizard; use thread-safe inject_single_var() overlay instead (safe on multi-threaded Tokio). - Add post-init validation in AppBuilder: fail early with clear error when LLM_BACKEND is set but no credentials were resolved after secret injection. - Add sk-ant-oat prefix validation in parse_oauth_access_token(). - Only route to AnthropicOAuthProvider when api_key is missing or equals OAUTH_PLACEHOLDER (API key takes priority over OAuth token). - Teach fetch_anthropic_models() to use Bearer auth when only OAuth token is available (model listing no longer fails for OAuth-only users). Low: - Use optional_env() in wizard credential checks to read from injected overlay, not just raw env vars. [skip-regression-check] Co-Authored-By: Claude Opus 4.6 <[email protected]> * style: cargo fmt Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: [email protected] <[email protected]> |
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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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Nick PismenkovandGitHub
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d195222124 |
feat: Wire memory hygiene retention policy into heartbeat loop (#629)
* feat: Wire memory hygiene retention policy into heartbeat loop * review fix * linter fix * fix tests |
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Nick PismenkovandGitHub
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9ae04f14e3 |
feat: restart (#531)
* feat: restart * review fixes * add IRONCLAW_IN_DOCKER env variable * review fixes * fix tests * set default value as false |
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ibhagwanandGitHub
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b0b3a50fa3 |
feat(channels): add native Signal channel via signal-cli HTTP daemon (#271)
* feat(channels): add native Signal channel via signal-cli HTTP daemon Implement a native Rust Signal channel that connects to a running signal-cli daemon's HTTP endpoint, enabling Signal messaging without WASM overhead. Architecture: - SSE listener at /api/v1/events for receiving messages with automatic reconnection and exponential backoff - JSON-RPC client at /api/v1/rpc for sending messages and typing indicators - Reply target tracking via Arc<RwLock<HashMap>> to route responses back to the correct DM or group conversation Features: - User allowlisting supporting E.164 phone numbers, bare UUIDs, and uuid:-prefixed identifiers (matching OpenClaw's format) - Group allowlisting with wildcard (*) support - Configurable story and attachment-only message filtering - Health check via signal-cli /api/v1/check - Broadcast support to all tracked reply targets Configuration via environment variables: - SIGNAL_HTTP_URL, SIGNAL_ACCOUNT (required) - SIGNAL_ALLOWED_USERS, SIGNAL_ALLOWED_GROUPS - SIGNAL_IGNORE_ATTACHMENTS (default: false) - SIGNAL_IGNORE_STORIES (default: true) Includes unit tests covering allowlist logic, envelope parsing, recipient targeting, SSE deserialization, and edge cases. * refactor(signal): remove expect|unwrap calls - Change SignalChannel::new to return Result<Self, ChannelError> - Replace .expect() on reqwest client build with proper error handling - Replace .expect() on NonZeroUsize with compile-time const using unsafe new_unchecked - Propagate errors through test helpers to avoid unwraps in tests * fix(signal): prevent OOM from chunked response without Content-Length Use bytes_stream() to check response size during download rather than buffering entire body first. This closes the OOM vector where a malicious signal-cli daemon could send unbounded chunked data. * fix(signal): align is_e164 minimum digits with setup wizard Both now require 7-15 digits after '+', preventing environment variable bypass of the stricter onboarding validation. * refactor(signal): extract from_parts constructor Extract SignalChannel::from_parts() used by both new() and sse_listener() to ensure consistent object construction. * chore: remove redundant unused var * refactor(signal): rename allowed_users to allow_from and add dm_policy/group_policy - Rename allowed_users -> allow_from for consistency with other channels - Rename allowed_groups -> allow_from_groups - Add dm_policy field: 'open', 'allowlist', or 'pairing' (default: 'pairing') - Add group_policy field: 'allowlist', 'open', or 'disabled' (default: 'allowlist') - Add group_allow_from field that inherits from allow_from if empty - Implement dm_policy and group_policy logic in message processing - Add environment variable resolution: SIGNAL_ALLOW_FROM, SIGNAL_ALLOW_FROM_GROUPS, SIGNAL_DM_POLICY, SIGNAL_GROUP_POLICY, SIGNAL_GROUP_ALLOW_FROM - Add setup wizard prompts for new policy options - Note: full pairing flow (PairingStore integration) marked as pending for future PR * feat(signal): implement DM pairing workflow for unapproved senders - Add PairingStore integration to check approved senders - Handle pairing requests for unknown senders with dm_policy=pairing - Send pairing reply message with approval instructions - Update FEATURE_PARITY.md to reflect DM pairing support * chore(ci): fix clippy warnings |
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7f68207f1e |
Feat/completion (#240)
* feat: add OpenRouter usage examples * feat: add HTPS headers * feat: add shell completion generation via clap_complete * feat: add shell completion generation via clap_complete * feat: add shell completion generation via clap_complete * Refactor completion: use clap_complete::Shell directly, improve tests, remove tracing duplication, fix .env.example and Cargo.toml * fix: rename init_cli_logging to init_cli_tracing (sync with main) --------- Co-authored-by: BroccoliFin <[email protected]> Co-authored-by: firat.sertgoz <[email protected]> |
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3124ab2b7f |
docs: add LLM providers guide (OpenRouter, Together AI, Fireworks, Ollama, vLLM) (#193)
- Add docs/LLM_PROVIDERS.md with setup instructions for all supported providers - Expand .env.example with Together AI and Fireworks AI example configs - Add "Alternative LLM Providers" section to README with quickstart snippet Co-authored-by: Claude Sonnet 4.6 <[email protected]> Co-authored-by: firat.sertgoz <[email protected]> |
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493e4578d0 |
feat: support custom HTTP headers for OpenAI-compatible provider (#269)
Add LLM_EXTRA_HEADERS env var (format: Key:Value,Key2:Value2) to inject custom HTTP headers into every request to OpenAI-compatible endpoints. This enables OpenRouter attribution headers (HTTP-Referer, X-Title) and other service-specific headers without code changes. Closes #179 Co-authored-by: Claude Opus 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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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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fa64df05ff |
feat: wire memory hygiene into the heartbeat loop (#195)
* feat: wire memory hygiene into heartbeat loop (#166) * refactor: address PR review comments for hygiene wiring * style: fix fmt import ordering and clippy too_many_arguments warning * fix: update heartbeat integration test to pass HygieneConfig argument HeartbeatRunner::new() now requires a HygieneConfig as its second argument after the hygiene wiring refactor. Pass the default config in the integration test. Co-Authored-By: Claude Sonnet 4.6 <[email protected]> --------- Co-authored-by: Claude Sonnet 4.6 <[email protected]> Co-authored-by: Illia Polosukhin <[email protected]> |
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05cb01816b |
feat: add OpenRouter usage examples (#189)
Co-authored-by: BroccoliFin <[email protected]> |
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cfb579a4bb |
feat: Add PR review tools, job monitor, and channel injection for E2E sandbox workflows (#57)
* feat: Add PR review tools, job monitor, and channel injection for E2E sandbox workflows Adds JobEventsTool and JobPromptTool so the main agent can read container event logs and send follow-up prompts to running Claude Code sessions. A background JobMonitor forwards container assistant messages into the agent loop via a new inject channel on ChannelManager. CreateJobTool now accepts a project_dir parameter for mounting existing cloned repos into containers, and spawns the monitor automatically for async jobs. Also: Dockerfile bumped to Rust 1.88 (rig-core needs let chains), GITHUB_TOKEN forwarded into containers for gh CLI auth, and truncate() fixed for multi-byte char boundary panics. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address PR #57 review comments (IDOR, Dockerfile, truncate, logging) - Add ownership checks to JobEventsTool and JobPromptTool via ContextManager to prevent users from accessing other users' jobs (IDOR) - Combine Dockerfile gh CLI install into single apt-get layer - Handle truncate() edge case when max falls inside first multi-byte char - Log actual count of registered job management tools - Document fire-and-forget job monitor lifecycle - Add tests for ownership rejection and schema validation Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: Replace hardcoded GITHUB_TOKEN with on-demand credential delivery Containers now fetch credentials via authenticated GET /worker/{id}/credentials endpoint instead of receiving them baked into env vars at creation time. Secrets are decrypted from SecretsStore on demand, scoped per-job via CredentialGrant, and revoked automatically when the job completes. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address sandbox audit findings (CONNECT tunnel, readonly_rootfs, type consolidation) - Implement real CONNECT tunnel with bidirectional TCP piping via hyper upgrade - Fix readonly_rootfs to apply for both ReadOnly and WorkspaceWrite policies - Consolidate duplicate CredentialMapping/CredentialLocation into secrets::types - Share reqwest::Client across proxy requests instead of per-request allocation - Store Docker connection and reuse across executions - Remove .unwrap() from proxy response builders with safe fallbacks - Add output truncation to direct (non-container) execution (64KB limit) - Delete dead src/tools/sandbox.rs (ToolSandbox never used) - Fix connect_docker error message to list all attempted socket paths - Update proxy credential injection to handle all CredentialLocation variants - Use glob-based host_patterns matching for credential lookup in proxy policy Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address PR #57 review comments (IDOR, Dockerfile, truncate, logging) - Dockerfile: install curl+ca-certificates before fetching GitHub CLI GPG key - JobEventsTool/JobPromptTool: reject missing context (prevents IDOR bypass) - parse_credentials: validate env var names against denylist and pattern - resolve_project_dir: require explicit paths to exist before validation - Credential serving: lower log level from info to debug Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: Address orchestrator audit findings (constant-time auth, error handling, tests) - auth: constant-time token comparison via subtle::ConstantTimeEq - auth: replace hand-rolled hex_encode with std::fmt::Write fold - api: report_status now updates ContainerHandle (was a no-op) - api: log complete_job errors instead of silently discarding - job_manager: log Docker cleanup errors in stop_job/complete_job - job_manager: extract validate_bind_mount_path with proper error on missing home_dir and mandatory base dir creation before canonicalize - job_manager: cache Docker connection across operations - error: remove dead OrchestratorError::AuthFailed and ContainerTimeout - Add 13 new tests (prompt queue, credentials, events, status, paths) Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use floor_char_boundary in sandbox manager truncate to prevent multi-byte panics String::truncate() panics when the index falls mid-way through a multi-byte UTF-8 character. Use the same floor_char_boundary utility already used in worker/runtime.rs and tools/builtin/shell.rs. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: default base_url to private.near.ai for Responses API mode Session tokens only authenticate against private.near.ai, not cloud-api.near.ai. The default base_url now matches the api_mode: - Responses (session token): https://private.near.ai - ChatCompletions (API key): https://cloud-api.near.ai This broke when the multi-provider merge introduced cloud-api.near.ai as the unconditional default. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: use private.near.ai as default base URL for all API modes private.near.ai now supports both Responses and ChatCompletions endpoints, so there is no reason to route through cloud-api.near.ai. This also fixes session token auth which only works against private.near.ai. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: harden libSQL concurrency, fix Claude Code Docker auth and permissions Three fixes for the sandbox/Claude Code pipeline: 1. SQLite "database is locked": set WAL journal mode in migrations and PRAGMA busy_timeout=5000 on every connection across LibSqlBackend, LibSqlSecretsStore, and LibSqlWasmToolStore (~83 async call sites). 2. Claude Code container auth: extract OAuth token from macOS Keychain (or Linux ~/.claude/.credentials.json) at startup and inject via CLAUDE_CODE_OAUTH_TOKEN env var. Removes the broken bind-mount approach that failed on uid mismatch. 3. Claude Code tool permissions: wire CLAUDE_CODE_ALLOWED_TOOLS env var through to the worker binary (was hardcoded to empty vec), and expand defaults to include all standard tools (Read, Write, Edit, Glob, Grep, NotebookEdit, Bash, Task, WebFetch, WebSearch). Also adds --verbose flag to claude CLI (required with stream-json + -p), failover provider model switching, and nearai models endpoint fix. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: stream event parsing, job ID prefix resolution, session renewal in list_models Three fixes for the Docker/gateway pipeline: 1. Claude Code stream event parsing (claude_bridge.rs): Rewrite ClaudeStreamEvent to match actual NDJSON format where content blocks are nested under message.content[], not at the top level. Add handler for "user" events (tool_result blocks) and emit result text as a "message" event so reviews appear in gateway activity view. 2. Job ID prefix resolution (job.rs): Add resolve_job_id() that accepts short hex prefixes (like git short SHAs) in addition to full UUIDs. The LLM sees truncated IDs in job monitor messages like "[Job f2854dd8]" and can now use them directly with job_status/cancel/events/prompt tools. 3. Session renewal in list_models (nearai.rs): list_models() now retries with OAuth renewal on 401, matching send_request()'s existing behavior. Previously it returned SessionExpired immediately, causing the setup wizard to fall back to defaults instead of prompting re-authentication. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: /model command now lists available models Previously /model with no args only showed the current model name. Now it fetches and displays all available models from the provider, marking the active one, so users can see what's available before switching with /model <name>. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address PR #57 review findings (set_var UB, tunnel timeout, restart creds) - Replace unsafe `std::env::set_var` in worker runtime and Claude bridge with `Command::envs()` injection via a new `extra_env` field on `JobContext`, avoiding undefined behavior in the multi-threaded tokio runtime. - Add 30-minute timeout to CONNECT tunnel `copy_bidirectional` in the sandbox proxy to prevent stuck connections from leaking spawned tasks. - Persist credential grants (as JSON in the description column) on `SandboxJobRecord` so `jobs_restart_handler` can restore them instead of passing `vec![]`, which caused restarted containers to lose access to their original secrets. Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address second round of PR #57 review comments - Normalize host_patterns to lowercase in proxy policy matching - Push LIMIT into SQL for list_job_events (Database trait + both backends) - Remove unused was_explicit binding in job tool - Return 500 instead of 200 in make_response fallback path - Update copy_auth_from_mount docstring for env-var default - Use entry.file_type() instead of is_dir() to avoid following symlinks Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address third round of PR #57 review comments - Restore glob patterns in default_claude_code_allowed_tools (Bash -> Bash(*)) - Add tracing::warn for credential grant serialize/deserialize failures - Wrap extra_env in Arc<HashMap> to avoid deep cloning per tool call - Document unsupported credential locations (AuthorizationBasic, UrlPath) - Document TOCTOU window in validate_bind_mount_path - Expand doc comments on JobEventsTool and JobPromptTool Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address fourth round of PR #57 review comments - Document CONNECT tunnel task lifecycle (timeout is the cleanup mechanism) - Remove secret names from error-level credential logs to prevent leaking - Expand DANGEROUS_ENV_VARS denylist with language runtime hijack vectors Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: address fifth round of PR #57 review comments - Promote job monitor startup log to info level for observability - Require minimum 4-char prefix in resolve_job_id to limit enumeration - Cap credential grants at 20 per job to bound column storage - Clamp job events limit to 1..1000 to prevent memory abuse Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: add missing closing brace for SkillsConfig impl block The merge resolution dropped the closing `}` for `impl SkillsConfig`, causing a compilation error in CI. Co-Authored-By: Claude Opus 4.6 <[email protected]> --------- Co-authored-by: Claude Opus 4.6 <[email protected]> |
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436dda0f2f |
docs: add .env.example examples for Ollama and OpenAI-compatible (#110)
* docs: add .env.example examples for Ollama and OpenAI-compatible * docs: update .env.example with commented examples --------- Co-authored-by: BroccoliFin <[email protected]> |
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Elliot BraemandGitHub
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202665a55c |
Fixes build, adds missing sse event and correct command (#11)
* add missing type * prune * readme * minor * update to .ironclaw |
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Illia PolosukhinandClaude Opus 4.6
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f3c85f57fc |
Add proactivity features: memory CLI, session pruning, self-repair notifications, slash commands, status diagnostics, context warnings
Closes the proactivity gap with six features: - Memory CLI (`ironclaw memory search/read/write/tree/status`) for direct workspace access without starting the full agent - Session pruning background task that evicts idle sessions (configurable TTL, default 7 days) - Self-repair notifications broadcast recovery results through channel manager instead of silent logging - `/heartbeat`, `/summarize`, `/suggest` slash commands for manual heartbeat trigger, thread summarization, and next-step suggestions - `ironclaw status` diagnostics command checking DB, session, secrets, embeddings, WASM tools, channels, heartbeat, and MCP servers - Context pressure warning that notifies users before auto-compaction fires Co-Authored-By: Claude Opus 4.6 <[email protected]> |
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Illia PolosukhinandClaude Opus 4.5
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235f6aae18 |
Add heartbeat integration, planning phase, and auto-repair
- Add HeartbeatConfig for proactive periodic execution with channel notifications - Add use_planning option to Worker for ActionPlan generation before tool execution - Implement tool failure tracking in database (V3 migration) - Add auto-repair via Builder for broken WASM tools in self_repair.rs - Record tool failures in Worker for self-repair tracking - Update .env.example with new configuration options Co-Authored-By: Claude Opus 4.5 <[email protected]> |
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Illia Polosukhin
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2df4a4f5f0 | Login flow | ||
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Illia Polosukhin
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aea3f47f8b | Implementing WASM runtime | ||
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Illia PolosukhinandClaude Opus 4.5
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3718cfa767 |
Simplify workspace to path-based storage, remove legacy code
- Consolidate all migrations into V1__initial.sql - Replace DocType enum with flexible path-based file storage - Add list_workspace_files SQL function for directory listing - Update memory tools for path-based API (memory_read, memory_write, memory_search, memory_list) - Remove unused OpenAI/Anthropic providers (NEAR AI only) - Simplify config to remove multi-provider support - Update CLAUDE.md documentation Co-Authored-By: Claude Opus 4.5 <[email protected]> |
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Illia PolosukhinandClaude Opus 4.5
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f29892b3fb |
Add NEAR AI chat-api as default LLM provider
Adds NearAiProvider that uses the NEAR AI unified API at api.near.ai/v1/responses with session token authentication. This provides access to multiple models (OpenAI, Anthropic, etc.) through a single endpoint with user auth and usage tracking. - Add src/llm/nearai.rs with complete provider implementation - Add NearAiConfig to config.rs with session_token, model, base_url - Add NearAi variant to LlmProvider enum (accepts nearai/near-ai/near_ai) - Change default provider from OpenAi to NearAi - Update .env.example with NEAR AI configuration - Update CLAUDE.md documentation Co-Authored-By: Claude Opus 4.5 <[email protected]> |
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Illia Polosukhin
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8c38566378 | Initial implementation of the agent framework |