1ac8965a7a
## 新功能 - Langfuse 自建部署 (192.168.0.110:3100) - langfuse_client.py - LLM 呼叫追蹤包裝 - OpenClaw 整合 Langfuse trace ## 模型升級 (統帥批准) - 生產預設: llama3.2:3b → qwen2.5:7b-instruct - 摘要任務: llama3.2:3b (速度優先) ## 配置更新 - requirements.txt: +langfuse>=2.0.0 - config.py: +LANGFUSE_* 設定 - models.json: 更新 Ollama 模型配置 - K8s: Secret + ConfigMap 更新 ## 審查通過 - 模組化檢查 ✅ - 核心測試 31/31 ✅ Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
70 lines
1.2 KiB
Markdown
70 lines
1.2 KiB
Markdown
# Langfuse Self-Hosted 部署
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> Phase 15.1 LLMOps 觀測平台
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## 部署資訊
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| 項目 | 值 |
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| 主機 | 192.168.0.110 (DevOps 金庫) |
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| Port | 3100 |
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| URL | http://192.168.0.110:3100 |
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| 資料庫 | PostgreSQL 15 (內建) |
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## 部署步驟
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```bash
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# 1. 複製到目標主機
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scp -r infra/langfuse/ wooo@192.168.0.110:/opt/langfuse/
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# 2. SSH 到目標主機
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ssh wooo@192.168.0.110
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# 3. 啟動服務
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cd /opt/langfuse
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docker-compose up -d
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# 4. 檢查狀態
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docker-compose ps
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docker-compose logs -f langfuse
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```
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## 首次設定
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1. 開啟 http://192.168.0.110:3100
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2. 註冊管理員帳號
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3. 建立 Project: `awoooi-openclaw`
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4. 生成 API Key (Public + Secret)
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5. 將 API Key 加入 K8s Secret
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## API 整合
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```python
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from langfuse import Langfuse
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langfuse = Langfuse(
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public_key="pk-xxx",
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secret_key="sk-xxx",
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host="http://192.168.0.110:3100"
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)
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```
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## 備份
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```bash
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# 備份資料庫
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docker exec langfuse-db pg_dump -U langfuse langfuse > backup.sql
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# 還原
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cat backup.sql | docker exec -i langfuse-db psql -U langfuse langfuse
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```
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## 回滾
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```bash
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cd /opt/langfuse
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docker-compose down
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# 還原備份後
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docker-compose up -d
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```
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