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wip: preserve local engine and agent workflow changes before ganjihong refactor integration

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This commit is contained in:
李康
2026-09-09 17:08:24 +08:00
parent a5c3ec1f36
commit 387b99e255
112 changed files with 3543 additions and 12177 deletions
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backend/app/settings.py
-41
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@@ -65,15 +65,6 @@ class Settings:
llm_timeout_s: float
default_provider_id: str
providers: tuple[ProviderConfig, ...]
review_provider_id: str = ""
review_model_id: str = ""
agent_tool_calls_per_cycle: int = 12
agent_consecutive_no_progress_limit: int = 6
agent_format_error_repeat_limit: int = 3
agent_context_char_limit: int = 14000
agent_author_guidance_enabled: bool = True
agent_author_guidance_max_chars: int = 3600
agent_render_cache: bool = True
autonomous_generation: bool = True
resume_running_tasks_on_startup: bool = True
@@ -102,29 +93,6 @@ class Settings:
raise ValueError("The selected model is not enabled for this provider")
return provider, model
def resolve_review_model(self) -> tuple[ProviderConfig, ProviderModel]:
"""Return the independently configured visual reviewer, never an author fallback."""
provider_id = self.review_provider_id
if not provider_id:
raise ValueError("CDSL_REVIEW_PROVIDER must identify a configured vision provider")
provider = self.provider_for(provider_id)
if provider is None:
raise ValueError("The configured visual review provider is unavailable")
model_id = self.review_model_id or ""
if not model_id:
raise ValueError("CDSL_REVIEW_MODEL must identify a configured vision model")
model = provider.model(model_id)
if model is None or not model.vision:
raise ValueError("CDSL_REVIEW_MODEL must identify a configured vision-capable model")
return provider, model
def resolve_independent_review_model(self, author_provider: ProviderConfig, author_model: ProviderModel) -> tuple[ProviderConfig, ProviderModel]:
"""Require the candidate judge to be a separately configured model."""
provider, model = self.resolve_review_model()
if provider.id == author_provider.id and model.id == author_model.id:
raise ValueError("CDSL_REVIEW_PROVIDER/CDSL_REVIEW_MODEL must differ from the autonomous author model")
return provider, model
def _reasoning_effort(value: str) -> str:
effort = value.strip().lower()
@@ -207,15 +175,6 @@ def get_settings() -> Settings:
llm_timeout_s=llm_timeout_s,
default_provider_id=default_provider_id,
providers=providers,
review_provider_id=os.getenv("CDSL_REVIEW_PROVIDER", "").strip().lower(),
review_model_id=os.getenv("CDSL_REVIEW_MODEL", "").strip(),
agent_tool_calls_per_cycle=max(1, int(os.getenv("CDSL_AGENT_TOOL_CALLS_PER_CYCLE", "12"))),
agent_consecutive_no_progress_limit=max(1, int(os.getenv("CDSL_AGENT_CONSECUTIVE_NO_PROGRESS_LIMIT", "6"))),
agent_format_error_repeat_limit=max(1, int(os.getenv("CDSL_AGENT_FORMAT_ERROR_REPEAT_LIMIT", "3"))),
agent_context_char_limit=max(4000, int(os.getenv("CDSL_AGENT_CONTEXT_CHAR_LIMIT", "14000"))),
agent_author_guidance_enabled=_env_flag("CDSL_AGENT_AUTHOR_GUIDANCE_ENABLED", True),
agent_author_guidance_max_chars=min(6000, max(1200, int(os.getenv("CDSL_AGENT_AUTHOR_GUIDANCE_MAX_CHARS", "3600")))),
agent_render_cache=_env_flag("CDSL_AGENT_RENDER_CACHE", True),
autonomous_generation=True,
# Production instances recover durable runs by default. Test workers
# can disable this before startup to guarantee they touch only tasks