Files
LangBot/src/langbot/pkg/agent/runner/default_config.py
T

84 lines
2.9 KiB
Python

"""Default Runner binding configuration helpers."""
from __future__ import annotations
import sqlalchemy
from ...core import app
from ...api.http.service.tenant import TenantContext, require_workspace_uuid
from ...entity.persistence import pipeline as persistence_pipeline
from . import config_schema
from .config_resolver import RunnerConfigResolver
class RunnerDefaultConfigService:
"""Apply Runner schema-defined defaults to host binding config."""
ap: app.Application
def __init__(self, ap: app.Application) -> None:
self.ap = ap
async def _get_runner_descriptor(self, context: TenantContext, runner_id: str):
registry = getattr(self.ap, 'runner_registry', None)
if registry is None:
return None
try:
return await registry.get(context, runner_id, bound_plugins=None)
except Exception as e:
logger = getattr(self.ap, 'logger', None)
if logger:
logger.warning(f'Failed to load Runner descriptor while setting default model: {e}')
return None
async def auto_set_default_pipeline_llm_model(
self,
context: TenantContext,
model_uuid: str,
) -> bool:
"""Set model_uuid into the default pipeline runner config when the selector is empty."""
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.workspace_uuid == require_workspace_uuid(context),
persistence_pipeline.LegacyPipeline.is_default == True,
)
)
pipeline = result.first()
if pipeline is None:
return False
return await self.set_pipeline_llm_model_if_empty(context, pipeline, model_uuid)
async def set_pipeline_llm_model_if_empty(
self,
context: TenantContext,
pipeline: persistence_pipeline.LegacyPipeline,
model_uuid: str,
) -> bool:
"""Set model_uuid into a pipeline's schema-defined LLM selector if it is empty."""
pipeline_config = pipeline.config
if not isinstance(pipeline_config, dict):
return False
runner_id = RunnerConfigResolver.resolve_runner_id(pipeline_config)
if not runner_id:
return False
descriptor = await self._get_runner_descriptor(context, runner_id)
if descriptor is None:
return False
ai_config = pipeline_config.setdefault('ai', {})
runner_configs = ai_config.setdefault('runner_config', {})
runner_config = runner_configs.setdefault(runner_id, {})
if not config_schema.set_empty_llm_model_selection(descriptor, runner_config, model_uuid):
return False
await self.ap.pipeline_service.update_pipeline(
context,
pipeline.uuid,
{'config': pipeline_config},
)
return True