These tests guard against catastrophic regex backtracking (seconds/minutes),
not 12ms differences. CI runners with coverage instrumentation (cargo-llvm-cov)
consistently exceed the 100ms threshold due to overhead, causing flaky failures.
500ms still catches real regressions while tolerating CI variability.
[skip-regression-check]
Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
* 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]>
- Remove duplicate build_nearai_model_fetch_config() definition from setup/wizard.rs
(function already exists in llm/models.rs and is imported)
- Add missing cheap_model and smart_routing_cascade fields to LlmConfig
initializer in build_nearai_model_fetch_config() (llm/models.rs)
- Pass request_timeout_secs to create_registry_provider() call
(llm/mod.rs:432)
All clippy checks pass with zero warnings (--no-default-features --features libsql).
Co-Authored-By: Claude Haiku 4.5 <[email protected]>
Resolved merge conflicts in 5 files:
1. src/agent/job_monitor.rs - Used is_internal flag approach (HEAD) for safe internal message marking. Removed metadata-based approach which could be spoofed by external channels.
2. src/agent/agent_loop.rs - Used is_internal check (HEAD) for routing internal messages, consistent with security model where is_internal field cannot be spoofed.
3. src/agent/dispatcher.rs - Included notify_metadata in job context (main), needed for job routing through JobMonitorRoute.
4. src/setup/wizard.rs - Added build_nearai_model_fetch_config() function (main) for model selection during setup.
5. src/tools/builtin/job.rs - Used both comments from HEAD (clarifying notify_channel and notify_user logic) while removing metadata field from JobMonitorRoute (consistent with job_monitor.rs).
All conflicts resolved with security-first approach: use is_internal boolean field for internal message marking (cannot be spoofed), while passing routing metadata through context.
Co-Authored-By: Claude Haiku 4.5 <[email protected]>
* feat: add LLM_CHEAP_MODEL for generic smart routing across all backends
Add generic cheap model support that works with any LLM backend, not just
NearAI. New env vars: LLM_CHEAP_MODEL (cheap model for any backend) and
SMART_ROUTING_CASCADE (top-level cascade flag).
Resolution order: LLM_CHEAP_MODEL > NEARAI_CHEAP_MODEL (backward compat).
Registry-based providers (OpenAI, Anthropic, Groq, etc.) clone their
RegistryProviderConfig with the cheap model swapped in. Bedrock returns
an explicit error (not yet supported). All error paths use ok_or_else
with proper LlmError variants -- no unwrap/expect in production code.
* refactor: address Gemini review — remove unnecessary async, extract cheap_model_name()
- Remove async from create_cheap_provider_for_backend() and
create_cheap_llm_provider() — neither contains .await calls
- Extract duplicated cheap model resolution logic into
LlmConfig::cheap_model_name() helper method (DRY)
- Revert tests from tokio::test async back to sync #[test]
- Add test_cheap_model_name_resolution() unit test for the helper
---------
Co-authored-by: SMKRV <[email protected]>
Route messages and replies to the correct Telegram forum topic via
message_thread_id. Key behaviors:
- Parse message_thread_id, is_topic_message, is_forum from incoming updates
- Thread agent sessions by "chat_id:topic_id" for forum groups only
(non-forum reply threads are excluded via is_forum guard)
- Pass message_thread_id through all send methods (text, photo, document)
- Normalize thread_id=1 (General topic) to None for sendMessage/sendPhoto/
sendDocument since Telegram rejects it, but preserve it for sendChatAction
where Telegram requires it for typing indicators
- Hoist bot_username workspace read to avoid duplicate WASM host call per
group message
Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
* feat(orchestrator): read ORCHESTRATOR_PORT env var for configurable API port
The orchestrator internal API port was hardcoded to 50051 in two places
(ContainerJobConfig and OrchestratorApi::start call), making it impossible
to run multiple IronClaw instances on the same host — the second instance
fails with "Address already in use".
NETWORK_SECURITY.md already documents ORCHESTRATOR_PORT as configurable,
and ContainerJobConfig.orchestrator_port is propagated to worker containers
via IRONCLAW_ORCHESTRATOR_URL, but the env var was never actually read.
Extract resolve_orchestrator_port() that reads ORCHESTRATOR_PORT and falls
back to 50051. Includes tests for valid, invalid, and out-of-range values.
* test: add ENV_LOCK mutex for env-var test serialization
Address Gemini review: add std::sync::Mutex to serialize env var access
across test threads. Keep unsafe blocks — required in Rust edition 2024
where std::env::set_var/remove_var are unsafe functions.
---------
Co-authored-by: SMKRV <[email protected]>
* feat(transcription): add Chat Completions API provider for audio transcription
The existing transcription pipeline only supports the OpenAI Whisper API
(/v1/audio/transcriptions with multipart upload). Providers like OpenRouter
expose audio transcription through the Chat Completions API instead, using
base64-encoded audio in the `input_audio` content type.
Add `ChatCompletionsTranscriptionProvider` that sends audio as base64 in
a chat completion request and extracts the transcript from the response.
Compatible with OpenRouter, OpenAI GPT-4o-audio, and any provider that
supports audio input via Chat Completions.
Config changes:
- TRANSCRIPTION_PROVIDER=chat_completions selects the new provider
- TRANSCRIPTION_API_KEY overrides provider-specific keys
- LLM_API_KEY used as fallback for chat_completions provider
- Default model per provider (whisper-1 for openai, gemini-2.0-flash for
chat_completions)
* style: address review feedback — formatting, idiomatic patterns
- Fix rustfmt formatting for provider constructor chain
- Use or_else for resolve_api_key priority chain (Gemini review)
- Use trim_end_matches('/') instead of while loop (Gemini review)
---------
Co-authored-by: SMKRV <[email protected]>
Coffee