toolly
登录/注册
返回

trace-claude-code

⚡️ 效率工具
访问 GitHub

自动捕获 Claude Code 的完整交互过程,将对话会话、用户与模型的每轮交互及所有工具调用以层级化结构记录到 Braintrust 平台,便于进行追溯与分析,实现对 AI 编程行为的可观测性。

简介

自动捕获 Claude Code 的完整交互过程,将对话会话、用户与模型的每轮交互及所有工具调用以层级化结构记录到 Braintrust 平台,便于进行追溯与分析,实现对 AI 编程行为的可观测性。

核心能力速览
✓所属分类:⚡️ 效率工具
✓通过 Agent Skills 协议,将「能力」封装为可复用、可安装的 AI 组件
✓支持按需加载领域知识与工具,让通用模型转变为特定任务的专家
适用场景

适用于「⚡️ 效率工具」相关场景,可作为可复用的 AI 能力组件,接入支持 Agent Skills 的 AI 客户端(如 Claude、Cursor、Cline 等),按需调用以扩展模型能力。

Skills.MD
nametrace-claude-code
description|
version1.1.0

Trace Claude Code to Braintrust

Automatically send Claude Code conversations to Braintrust for tracing and observability. Get full visibility into your AI coding sessions with hierarchical traces showing sessions, turns, and every tool call.

What you get

Claude Code Session (root trace)
├── Turn 1: "Add error handling"
│   ├── Read: src/app.ts
│   ├── Edit: src/app.ts
│   └── Response: "I've added try-catch..."
├── Turn 2: "Now run the tests"
│   ├── Terminal: npm test
│   └── Response: "All tests pass..."
└── Turn 3: "Great, commit this"
    ├── Terminal: git add .
    ├── Terminal: git commit -m "..."
    └── Response: "Changes committed..."

How it works

Four hooks capture the complete workflow:

Hook What it captures
SessionStart Creates root trace when you start Claude Code
PostToolUse Captures every tool call (file reads, edits, terminal commands)
Stop Captures conversation turns (your message + Claude's response)
SessionEnd Logs session summary when you exit

Quick setup

Run the setup script in any project directory where you want tracing:

bash /path/to/skills/trace-claude-code/setup.sh

The script prompts for your API key and project name, then configures all hooks automatically.

Manual setup

Prerequisites

Configuration

Create .claude/settings.local.json in your project directory:

{
  "hooks": {
    "SessionStart": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/session_start.sh"
          }
        ]
      }
    ],
    "PostToolUse": [
      {
        "matcher": "*",
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/post_tool_use.sh"
          }
        ]
      }
    ],
    "Stop": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/stop_hook.sh"
          }
        ]
      }
    ],
    "SessionEnd": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "bash /path/to/hooks/session_end.sh"
          }
        ]
      }
    ]
  },
  "env": {
    "TRACE_TO_BRAINTRUST": "true",
    "BRAINTRUST_API_KEY": "sk-...",
    "BRAINTRUST_CC_PROJECT": "my-project"
  }
}

Replace /path/to/hooks/ with the actual path to this skill's hooks directory.

Environment variables

Variable Required Description
TRACE_TO_BRAINTRUST Yes Set to "true" to enable tracing
BRAINTRUST_API_KEY Yes Your Braintrust API key
BRAINTRUST_CC_PROJECT No Project name (default: claude-code)
BRAINTRUST_CC_DEBUG No Set to "true" for verbose logging

Viewing traces

After running Claude Code with tracing enabled:

  1. Go to braintrust.dev
  2. Navigate to your project (e.g., claude-code)
  3. Click Logs to see all traced sessions

Each trace shows:

  • Session root: The overall Claude Code session
  • Turns: Each conversation exchange (user input → assistant response)
  • Tool calls: Individual operations (file reads, edits, terminal commands)

Trace structure

Traces are hierarchical:

  • Session (root span)

    • span_attributes.type: "task"
    • metadata.session_id: Unique session identifier
    • metadata.workspace: Project directory
  • Turn (child of session)

    • span_attributes.type: "llm"
    • input: User message
    • output: Assistant response
    • metadata.turn_number: Sequential turn number
  • Tool call (child of turn or session)

    • span_attributes.type: "tool"
    • input: Tool input (file path, command, etc.)
    • output: Tool result
    • metadata.tool_name: Name of the tool used

Troubleshooting

No traces appearing

  1. Check hooks are running:

    tail -f ~/.claude/state/braintrust_hook.log
    
  2. Verify environment variables in .claude/settings.local.json:

    • TRACE_TO_BRAINTRUST must be "true"
    • BRAINTRUST_API_KEY must be valid
  3. Enable debug mode:

    {
      "env": {
        "BRAINTRUST_CC_DEBUG": "true"
      }
    }
    

Permission errors

Make hook scripts executable:

chmod +x /path/to/hooks/*.sh

Missing jq command

Install jq:

  • macOS: brew install jq
  • Ubuntu/Debian: sudo apt-get install jq

State issues

Reset the tracing state:

rm ~/.claude/state/braintrust_state.json

Hook logs

View detailed hook execution logs:

# Follow logs in real-time
tail -f ~/.claude/state/braintrust_hook.log

# View last 50 lines
tail -50 ~/.claude/state/braintrust_hook.log

# Clear logs
> ~/.claude/state/braintrust_hook.log

File structure

hooks/
├── common.sh          # Shared utilities (logging, API, state)
├── session_start.sh   # Creates root trace span
├── post_tool_use.sh   # Captures tool calls
├── stop_hook.sh       # Captures conversation turns
└── session_end.sh     # Finalizes trace

Alternative: SDK integration

For programmatic use with the Claude Agent SDK, use the native Braintrust integration:

import { initLogger, wrapClaudeAgentSDK } from "braintrust";
import * as claudeSDK from "@anthropic-ai/claude-agent-sdk";

initLogger({
  projectName: "my-project",
  apiKey: process.env.BRAINTRUST_API_KEY,
});

const { query, tool } = wrapClaudeAgentSDK(claudeSDK);

See Braintrust Claude Agent SDK docs for details.

快捷安装

在终端执行以下命令,即可将本 Skill 安装到本地 AI 客户端:

npx skills add parcadei/Continuous-Claude-v3

相关推荐