Remove unused items that have no callers outside their own tests:
middleware wrap_stream_with_middleware/process_stream_event,
common ApiMessage/send_and_read_body, types ProviderEvent variant,
lib CancellationToken re-export, tools execute_all_tools, and
catalog get_latest_model.
Add --schema/-S flag to `ullm prompt` so generate_object() and
stream_object() are exercisable end-to-end. Includes unit test for
invalid JSON rejection and two ignored integration tests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Makes Haiku discoverable via list_models and get_model_info with
aliases "haiku" and "claude-haiku".
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Entire-Checkpoint: ed7df801c2a4
Embed the full Usage struct (with cache_read_tokens, cache_write_tokens,
reasoning_tokens) in AssistantMessage events instead of bare input/output
token fields. Add skip_serializing_if annotations to keep NDJSON clean.
Extend StageUsage with cache/reasoning aggregation. Track files touched
via write_file/edit_file tool call correlation in the backend bridge.
Update format functions, cost accumulator, and TypeScript types.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Entire-Checkpoint: 2c15cd247556
LLM API calls should not have HTTP-level request or stream-read timeouts.
These are better controlled at the application level via TimeoutConfig
(total/per_step). The connect timeout is increased from 10s to 30s since
network conditions vary.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Removed the workspace-level clippy lint config that enabled all, pedantic, nursery,
and cargo lint groups. Removed all #[allow(clippy::...)] annotations that were only
needed to suppress those extra lints, and fixed the few default clippy warnings that
were uncovered.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Use `status: "incomplete"` instead of `is_error` for OpenAI tool results (fixes rejection)
- Add merge_provider_options to forward unknown anthropic provider options to API body
- Derive Clone on Client to enable subagent session factory
- Enable error_recovery scenario for all providers now that OpenAI is fixed
- Improve subagent_spawn test to actually exercise spawn/wait/read workflow
- Adjust multi-turn cache test temperature to 0.5
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Test 1 (llm crate): Multi-turn cache verification runs 6 conversation turns
with a large system prompt (~5460 tokens) and verifies cache_read_tokens on
the final turn. Anthropic threshold 0.5, OpenAI/Gemini 0.0 (automatic
caching not guaranteed).
Test 2 (agent crate): Cross-provider parity matrix with 15 scenarios
(file CRUD, shell, grep/glob, editing, steering, reasoning effort, loop
detection, error recovery, etc.) across Anthropic, OpenAI, and Gemini.
41 total tests. Some scenarios excluded for OpenAI due to gpt-4o-mini
limitations (no reasoning.effort, is_error rejection, weak editing).
Test 3 (attractor crate): E2E pipeline with real LLM using AgentBackend,
AutoApproveInterviewer, and default_registry. Verifies pipeline success,
artifact files, goal gate outcomes, and checkpoint state.
All tests are #[ignore] and require API keys to run.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Stylesheet: add bare-word Shape selector (specificity between Universal and Class)
- LLM: apply per_step timeout to connection and total timeout to stream (Section 4.7)
- Interviewer: add MultiSelect question type alongside MultipleChoice
- Session: move SessionStart/SessionEnd to initialize()/close(), deduplicate close logic
- Engine: return Ok(fail outcome) instead of error when goal gate unsatisfied with no retry_target
- Docker: mark Docker-dependent tests with #[ignore]
- Validation: add extensive unit test coverage for all rule types
- Integration: update tests to match engine/fidelity changes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Prevents tests from loading .env and making real API calls without
manipulating environment state.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Drop event_tx from ManagedPipeline when pipeline completes/cancels/fails so
SSE streams end promptly instead of blocking until timeout (3.5s → 0.02s)
- Switch reqwest from native-tls to rustls-tls to avoid 500ms macOS cert store
load per process (0.67s → 0.005s per OpenAI adapter test)
- Replace hardcoded sleep(500ms)/sleep(200ms)/sleep(100ms) in server and
integration tests with 10ms poll loops (0.2-0.5s → 0.02-0.03s each)
- Add env_clear() to ullm prompt tests to prevent .env from triggering real
Anthropic API calls (0.45s → 0.15s)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Break out of streaming loop on abort and drop the stream before emitting
SessionEnd to properly cancel the HTTP connection
- Emit ToolCallOutputDelta events for tool call results in both sequential
and parallel execution paths
- Retry on StageStatus::Fail in addition to Retry in pipeline engine
- Set preferred_label on WaitHumanHandler choice outcomes
- Enforce exactly one terminal node in pipeline validation
- Downgrade unreachable node diagnostic from Error to Warning
- Update context window test to match 1M token limit
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Anthropic streaming API sends thinking block signatures via a
signature_delta event, not in content_block_start or content_block_stop.
The parser was ignoring this event type, falling back to the empty
placeholder signature from content_block_start, causing "Invalid
signature in thinking block" errors on multi-turn conversations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Switch default model from claude-sonnet-4-5 to claude-opus-4-6 across
run and serve commands. Enable the 1M token context window via the
context-1m-2025-08-07 beta header for opus-4-6 requests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Updates the default Gemini model from gemini-3-pro-preview to
gemini-3.1-pro-preview across agent, attractor, and ullm CLIs.
Adds "Using model:" output to stderr in both agent and ullm CLIs
so users can see which model is being used.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Requests were always sent with max_tokens: None, which defaulted to
4096 in the Anthropic provider, causing large outputs to be truncated.
Now build_request() looks up the model's max_output from the catalog
and passes it through, giving each model its full output capacity.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Responses API requires that reasoning items (type: "reasoning",
id: "rs_xxx") are included alongside their associated function_call
items when replaying conversation history. Without them:
"function_call was provided without its required 'reasoning' item"
Store reasoning output items as ContentPart::Other and replay them
as raw input items in translate_input. Handles both non-streaming
(parse_output) and streaming (handle_output_item_done) paths.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Responses API returns two distinct IDs on function_call items:
- `id` (item-level, starts with `fc_`)
- `call_id` (call-level, starts with `call_`)
When sending function calls back as input, the `id` field must start
with `fc_`. Previously we used `call_id` for both fields, causing:
"Invalid 'input[1].id': Expected an ID that begins with 'fc'."
Now we preserve the item-level `id` in provider_metadata and use it
for the `id` field, while `call_id` continues to link tool results.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Covers two recent runtime failures that lacked test coverage:
- Anthropic: assert deprecated beta header values are not sent
- Gemini: test function call parsing/translation with and without thoughtSignature
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Gemini 3 models include a thoughtSignature field on function call
parts that must be returned in subsequent conversation turns. Add
provider_metadata to ToolCall to carry this through, and extract/emit
it in both the non-streaming and streaming Gemini code paths.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
