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

- 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

View File

@@ -99,12 +99,12 @@ class AgentHandler:
# Launch execution in the background
progress_reporter = AgentProgressReporter()
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),
)
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:
result = await service.execute_skill(
skill_name=skill_name,
@@ -112,11 +112,11 @@ class AgentHandler:
progress_callback=progress_reporter,
)
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,
)
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(
{
"type": "agent_progress",
@@ -126,7 +126,7 @@ class AgentHandler:
}
)
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(
{
"type": "agent_progress",
@@ -138,7 +138,7 @@ class AgentHandler:
# Fire and forget — progress comes via WebSocket
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(
{