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>
The agent-cli binary was a thin wrapper over the agent library with
nothing else depending on it. Moving it into the agent crate as a
`pub mod cli` with a `[[bin]]` entry reduces workspace complexity
and follows the attractor crate pattern.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
