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feat: increase batch size limits to 15 and add testing_batch_size setting
Batch size configuration:
- Increase coding agent batch size limit from 1-3 to 1-15
- Increase testing agent batch size limit from 1-5 to 1-15
- Add separate `testing_batch_size` setting (previously only CLI-configurable)
- Pass testing_batch_size through full stack: schema → settings router →
agent router → process manager → CLI flag
UI changes:
- Replace 3-button batch size selector with range slider (1-15)
- Add new Slider component (ui/src/components/ui/slider.tsx)
- Add "Features per Testing Agent" slider in settings panel
- Add custom slider CSS styling for webkit and mozilla
Updated across: CLAUDE.md, autonomous_agent_demo.py, parallel_orchestrator.py,
server/{schemas,routers,services}, and UI types/hooks/components.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -444,7 +444,8 @@ class SettingsResponse(BaseModel):
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ollama_mode: bool = False # True when api_provider is "ollama"
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testing_agent_ratio: int = 1 # Regression testing agents (0-3)
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playwright_headless: bool = True
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batch_size: int = 3 # Features per coding agent batch (1-3)
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batch_size: int = 3 # Features per coding agent batch (1-15)
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testing_batch_size: int = 3 # Features per testing agent batch (1-15)
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api_provider: str = "claude"
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api_base_url: str | None = None
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api_has_auth_token: bool = False # Never expose actual token
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@@ -463,7 +464,8 @@ class SettingsUpdate(BaseModel):
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model: str | None = None
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testing_agent_ratio: int | None = None # 0-3
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playwright_headless: bool | None = None
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batch_size: int | None = None # Features per agent batch (1-3)
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batch_size: int | None = None # Features per agent batch (1-15)
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testing_batch_size: int | None = None # Features per testing agent batch (1-15)
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api_provider: str | None = None
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api_base_url: str | None = Field(None, max_length=500)
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api_auth_token: str | None = Field(None, max_length=500) # Write-only, never returned
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@@ -500,8 +502,15 @@ class SettingsUpdate(BaseModel):
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@field_validator('batch_size')
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@classmethod
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def validate_batch_size(cls, v: int | None) -> int | None:
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if v is not None and (v < 1 or v > 3):
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raise ValueError("batch_size must be between 1 and 3")
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if v is not None and (v < 1 or v > 15):
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raise ValueError("batch_size must be between 1 and 15")
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return v
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@field_validator('testing_batch_size')
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@classmethod
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def validate_testing_batch_size(cls, v: int | None) -> int | None:
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if v is not None and (v < 1 or v > 15):
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raise ValueError("testing_batch_size must be between 1 and 15")
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return v
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