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chore: update runtime logs to use 'LLM enrichment' instead of 'Agent skill'

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- agent_handlers.py: 'Agent skill' -> 'LLM enrichment' in all log messages
- skill_registry.py: 'agent skills' -> 'prompt-based skills' in discovery log
- llm_service.py: docstring 'agent skills' -> 'LLM-based enrichment features'
This commit is contained in:
Will Miao
2026-07-04 16:53:41 +08:00
parent f7632a47f9
commit 905c37290f
3 changed files with 9 additions and 9 deletions
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12
py/routes/handlers/agent_handlers.py
View File

@@ -99,12 +99,12 @@ class AgentHandler:
# Launch execution in the background # Launch execution in the background
progress_reporter = AgentProgressReporter() progress_reporter = AgentProgressReporter()
logger.info( logger.info(
"Agent skill '%s' starting for %d model(s) in background task", "LLM enrichment '%s' starting for %d model(s) in background task",
skill_name, len(model_paths), skill_name, len(model_paths),
) )
async def _run() -> None: async def _run() -> None:
logger.info("_run background task started for skill '%s'", skill_name) logger.info("Background task started for enrichment '%s'", skill_name)
try: try:
result = await service.execute_skill( result = await service.execute_skill(
skill_name=skill_name, skill_name=skill_name,
@@ -112,11 +112,11 @@ class AgentHandler:
progress_callback=progress_reporter, progress_callback=progress_reporter,
) )
logger.info( logger.info(
"Agent skill '%s' finished: success=%s, summary='%s', errors=%s", "LLM enrichment '%s' finished: success=%s, summary='%s', errors=%s",
skill_name, result.success, result.summary, result.errors, skill_name, result.success, result.summary, result.errors,
) )
except LLMNotConfiguredError as exc: except LLMNotConfiguredError as exc:
logger.warning("Agent skill '%s' not configured: %s", skill_name, exc) logger.warning("LLM enrichment '%s' not configured: %s", skill_name, exc)
await progress_reporter.on_progress( await progress_reporter.on_progress(
{ {
"type": "agent_progress", "type": "agent_progress",
@@ -126,7 +126,7 @@ class AgentHandler:
} }
) )
except Exception as exc: except Exception as exc:
logger.error("Agent skill '%s' failed: %s", skill_name, exc, exc_info=True) logger.error("LLM enrichment '%s' failed: %s", skill_name, exc, exc_info=True)
await progress_reporter.on_progress( await progress_reporter.on_progress(
{ {
"type": "agent_progress", "type": "agent_progress",
@@ -138,7 +138,7 @@ class AgentHandler:
# Fire and forget — progress comes via WebSocket # Fire and forget — progress comes via WebSocket
task = asyncio.create_task(_run()) task = asyncio.create_task(_run())
logger.info("Agent skill '%s' background task created (id=%s)", skill_name, task) logger.info("LLM enrichment '%s' background task created (id=%s)", skill_name, task)
return web.json_response( return web.json_response(
{ {

2
py/services/agent/skill_registry.py
View File

@@ -141,7 +141,7 @@ class SkillRegistry:
logger.warning("Failed to load skill from %s: %s", prompt_file, exc) logger.warning("Failed to load skill from %s: %s", prompt_file, exc)
self._loaded = True self._loaded = True
logger.info("Discovered %d agent skills", len(self._skills)) logger.info("Discovered %d prompt-based skills", len(self._skills))
def _load_skill_definition(self, path: Path) -> Optional[SkillDefinition]: def _load_skill_definition(self, path: Path) -> Optional[SkillDefinition]:
"""Parse a prompt definition file's frontmatter into a """Parse a prompt definition file's frontmatter into a

4
py/services/llm_service.py
View File

@@ -187,8 +187,8 @@ _LLM_TIMEOUT = aiohttp.ClientTimeout(total=120)
class LLMService: class LLMService:
"""Centralized LLM API client. """Centralized LLM API client.
All agent skills call LLMs through this service so that BYOK config, All LLM-based enrichment features call through this service so
retry logic, and error handling live in one place. that BYOK config, retry logic, and error handling live in one place.
""" """
_instance: Optional["LLMService"] = None _instance: Optional["LLMService"] = None