使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/langchain-ai/lca-skills --skill langsmith-fetch开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Fetching LangSmith Traces
Requires langsmith-fetch in project dependencies and LANGSMITH_API_KEY in a .env file.
Setup
First, find the .env file containing LANGSMITH_API_KEY:
bash
find . -name ".env" -type f 2>/dev/null | head -5Commands
Use --env-file <path-to-.env> with all commands:
bash
# Fetch recent traces (uses LANGSMITH_PROJECT from .env, or specify --project-uuid)
uv run --env-file <path> langsmith-fetch traces ./traces --limit 10
uv run --env-file <path> langsmith-fetch traces ./traces --project-uuid <uuid> --limit 10
# Fetch single trace by ID
uv run --env-file <path> langsmith-fetch trace <trace-id>
# Include metadata (timing, tokens, costs)
uv run --env-file <path> langsmith-fetch trace <trace-id> --include-metadataOutput Formats
--format pretty- Human-readable (default)--format json- Pretty-printed JSON--format raw- Compact JSON for piping
Troubleshooting Workflow
- Find
.env:find . -name ".env" -type f 2>/dev/null - Fetch recent traces:
uv run --env-file <path> langsmith-fetch traces ./debug --limit 10 - Find relevant trace in saved JSON files
- Check: What tools were called? What did they return? Was it correct/expected?
