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feat: add configurable log level and token usage tracking (#1301)

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* feat: add configurable log level and token usage tracking

- Add `log_level` config to control deerflow module log level, synced
  to LangGraph Server via serve.sh `--server-log-level`
- Add `token_usage.enabled` config with TokenUsageMiddleware that logs
  input/output/total tokens per LLM call from usage_metadata
- Add .omc/ to .gitignore

* fix: use info level for token usage logs since feature has its own toggle

* fix: sort imports to pass lint check

---------

Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
greatmengqi
2026-03-25 08:13:26 +08:00
committed by GitHub
parent 77b8ef79ca
commit 16ed797e0e
7 changed files with 74 additions and 3 deletions
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backend/packages/harness/deerflow/config/token_usage_config.py Normal file
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from pydantic import BaseModel, Field
class TokenUsageConfig(BaseModel):
"""Configuration for token usage tracking."""
enabled: bool = Field(default=False, description="Enable token usage tracking middleware")