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Parallelize independent I/O operations in Config.state() and Provider.state() to reduce startup time: - Config: parallel load well-known, global, custom, project configs - Config: parallel process directories for commands/agents/modes/plugins - Provider: parallel load Config, ModelsDev, Env, Auth, Plugins
- ToolRegistry: cache initialized tools by tool:agent key to avoid repeated init() calls during agent loops - LLM.stream: cache provider/auth lookups by providerID
Previously the parser was using a sync lazy() wrapper which could cause issues when the async import/wasm loading wasn't properly awaited.
- Add parallel_execution and max_parallel_tools config options - Implement ToolDependency.analyze() for path-based dependency detection - Add executeToolsParallel() for leveled parallel execution - Add ToolResultCache for caching tool execution results - Detect conflicts between read/edit/write/bash tools by path
Feature/ai native logic flow
Jyl/feat20260205/async work
Jyl/bug fix
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Hey! Your PR title Please update it to start with one of:
Where See CONTRIBUTING.md for details. |
Contributor
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The following comment was made by an LLM, it may be inaccurate: Found a potential duplicate: PR #9656: feat(opencode): trigger compaction earlier and add multi-file read
This appears to be a duplicate or very closely related feature. You may want to check if PR #9656 was already merged or if there's additional work needed on this feature. |
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What does this PR do?
add multi read
How did you verify your code works?