Langfuseでローカルエージェントの遅い処理を見つける

git clone https://github.com/langfuse/langfuse.git langfuse-local
cd langfuse-local
# 저장소 루트 docker-compose.yml에서 # CHANGEME 값을 바꾸고 NEXTAUTH_URL을 맞춰요.

ports:
  - "127.0.0.1:3000:3000"

docker compose up -d
docker compose ps
docker compose logs -f langfuse-web

python -m venv .venv
source .venv/bin/activate
python -m pip install -U langfuse requests
export LANGFUSE_PUBLIC_KEY='pk-lf-project-key'
export LANGFUSE_SECRET_KEY='sk-lf-project-secret'
export LANGFUSE_BASE_URL='http://localhost:3000'
export OLLAMA_MODEL='YOUR_INSTALLED_MODEL_ID'

import os
from pathlib import Path
import requests
from langfuse import get_client, observe, propagate_attributes

MODEL = os.environ['OLLAMA_MODEL']
langfuse = get_client()

@observe(name='local-agent-request', as_type='span', capture_input=False, capture_output=False)
def run_trace():
    with propagate_attributes(trace_name='local-agent-toy', session_id='toy-session-1'):
        with langfuse.start_as_current_observation(as_type='generation', name='ollama-chat', model=MODEL) as generation:
            response = requests.post('http://127.0.0.1:11434/api/chat', json={'model': MODEL, 'stream': False, 'messages': [{'role': 'user', 'content': 'Reply with exactly: local trace test'}]}, timeout=120)
            response.raise_for_status()
            generation.update(metadata={'http_status': response.status_code})
        with langfuse.start_as_current_observation(as_type='tool', name='read-toy-file') as tool:
            text = Path('fixture.txt').read_text(encoding='utf-8')
            tool.update(metadata={'file': 'fixture.txt', 'characters': len(text)})
        print('Ollama status:', response.status_code, '| fixture characters:', len(text))

run_trace()
langfuse.flush()

printf '%s\n' 'Synthetic fixture for a local tracing example.' > fixture.txt && python run_trace.py