braintrust-tracing
This skill provides architecture to trace parent and sub-agent interactions to assist in debugging and auditing.
Install
mkdir -p .claude/skills/braintrust-tracing && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3323" && unzip -o skill.zip -d .claude/skills/braintrust-tracing && rm skill.zipInstalls to .claude/skills/braintrust-tracing
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debuggingKey capabilities
- →Trace parent and sub-agent interactions
- →Correlate tool usage across sessions
- →Monitor agent execution chains
- →Debug multi-step agent tasks
- →Analyze session metrics and tool counts
How it works
Hooks capture session events and tool usage, writing state to local files which are then analyzed to build trace hierarchies.
Inputs & outputs
When to use braintrust-tracing
- →Trace sub-agent interactions
- →Debug complex multi-step tasks
- →Monitor agent execution chains
About this skill
Braintrust Tracing for Claude Code
Comprehensive guide to tracing Claude Code sessions in Braintrust, including sub-agent correlation.
Architecture Overview
PARENT SESSION
+---------------------+
| SessionStart |
| (creates root) |
+----------+----------+
|
+----------v----------+
| UserPromptSubmit |
| (creates Turn) |
+----------+----------+
|
+--------------------+--------------------+
| | |
+---------v--------+ +--------v--------+ +--------v--------+
| PostToolUse | | PostToolUse | | PreToolUse |
| (Read span) | | (Edit span) | | (Task - inject) |
+------------------+ +-----------------+ +--------+--------+
|
+----------v----------+
| SUB-AGENT |
| SessionStart |
| (NEW root_span_id)|
+----------+----------+
|
+----------v----------+
| SubagentStop |
| (has session_id) |
+---------------------+
Hook Event Flow
| Hook | Trigger | Creates | Key Fields |
|---|---|---|---|
| SessionStart | Session begins | Root span | session_id, root_span_id |
| UserPromptSubmit | User sends prompt | Turn span | prompt, turn_number |
| PreToolUse | Before tool runs | (modifies Task prompts) | tool_input.prompt |
| PostToolUse | After tool runs | Tool span | tool_name, input, output |
| Stop | Turn completes | LLM spans | model, tokens, tool_calls |
| SubagentStop | Sub-agent finishes | (no span) | session_id of sub-agent |
| SessionEnd | Session ends | (finalizes root) | turn_count, tool_count |
Trace Hierarchy
Session (task span) - root_span_id = session_id
|
+-- Turn 1 (task span)
| |
| +-- claude-sonnet (llm span) - model call with tool_use
| +-- Read (tool span)
| +-- Edit (tool span)
| +-- claude-sonnet (llm span) - response after tools
|
+-- Turn 2 (task span)
| |
| +-- claude-sonnet (llm span)
| +-- Task (tool span) -----> [Sub-agent session - SEPARATE trace]
| +-- claude-sonnet (llm span)
|
+-- Turn 3 ...
Sub-Agent Tracing: What Works and What Doesn't
What Doesn't Work
SessionStart doesn't receive the Task prompt.
We tried injecting trace context into Task prompts via PreToolUse:
# PreToolUse hook injects:
[BRAINTRUST_TRACE_CONTEXT]
{"root_span_id": "abc", "parent_span_id": "xyz", "project_id": "123"}
[/BRAINTRUST_TRACE_CONTEXT]
But SessionStart only receives session metadata, not the modified prompt. The injected context is lost.
What DOES Work
Task spans in parent session contain everything:
agentId- identifier for the sub-agent runtotalTokens,totalToolUseCount- metricscontent- full agent response/summarytool_input.prompt- original task prompttool_input.subagent_type- agent type (e.g., "oracle")
SubagentStop hook receives the sub-agent's session_id:
- This equals the sub-agent's orphaned trace
root_span_id - Allows correlation between parent Task span and child trace
The Correlation Pattern
Current state: Sub-agents create orphaned traces (new root_span_id).
Correlation method:
- Query parent session's Task spans for agent metadata
- Match
agentIdor timing with orphaned traces - Sub-agent's
session_id= its trace'sroot_span_id
Future solution (not yet implemented):
SubagentStop fires -> writes session_id to temp file
PostToolUse (Task) -> reads temp file -> adds child_session_id to Task span metadata
This would link: Task.agentId + Task.child_session_id -> orphaned trace root_span_id
State Management
Per-Session State Files
~/.claude/state/braintrust_sessions/
{session_id}.json # Per-session state
Each session file contains:
{
"root_span_id": "abc-123",
"project_id": "proj-456",
"turn_count": 5,
"tool_count": 23,
"current_turn_span_id": "turn-789",
"current_turn_start": 1703456789,
"started": "2025-12-24T10:00:00.000Z",
"is_subagent": false
}
Global State
~/.claude/state/braintrust_global.json # Cached project_id
~/.claude/state/braintrust_hook.log # Debug log
Debugging Commands
Check if Tracing is Active
# View hook logs in real-time
tail -f ~/.claude/state/braintrust_hook.log
# Check if session has state
cat ~/.claude/state/braintrust_sessions/*.json | jq -s '.'
# Verify environment
echo "TRACE_TO_BRAINTRUST=$TRACE_TO_BRAINTRUST"
echo "BRAINTRUST_API_KEY=${BRAINTRUST_API_KEY:+set}"
Query Braintrust Directly
# List recent sessions
uv run python -m runtime.harness scripts/braintrust_analyze.py --sessions 5
# Analyze last session
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session
# Replay specific session
uv run python -m runtime.harness scripts/braintrust_analyze.py --replay <session-id>
# Find sub-agent traces (orphaned roots)
uv run python -m runtime.harness scripts/braintrust_analyze.py --agent-stats
Debug Hook Execution
# Enable verbose logging
export BRAINTRUST_CC_DEBUG=true
# Test hooks manually
echo '{"session_id":"test-123","type":"resume"}' | \
bash "$CLAUDE_PROJECT_DIR/.claude/plugins/braintrust-tracing/hooks/session_start.sh"
# Test PreToolUse (Task injection)
echo '{"session_id":"test-123","tool_name":"Task","tool_input":{"prompt":"test"}}' | \
bash "$CLAUDE_PROJECT_DIR/.claude/plugins/braintrust-tracing/hooks/pre_tool_use.sh"
Troubleshooting Checklist
-
No traces appearing:
- Check
TRACE_TO_BRAINTRUST=truein.claude/settings.local.json - Verify API key:
echo $BRAINTRUST_API_KEY - Check logs:
tail -20 ~/.claude/state/braintrust_hook.log
- Check
-
Sub-agents not linking:
- This is expected - sub-agents create orphaned traces
- Use
--agent-statsto find agent activity - Correlate via timing or
agentIdin parent Task span
-
Missing spans:
- Check
current_turn_span_idin session state - Ensure Stop hook runs (turn finalization)
- Look for "Failed to create" errors in log
- Check
-
State corruption:
- Remove session state:
rm ~/.claude/state/braintrust_sessions/*.json - Clear global cache:
rm ~/.claude/state/braintrust_global.json
- Remove session state:
Key Files
| File | Purpose |
|---|---|
.claude/plugins/braintrust-tracing/hooks/common.sh | Shared utilities, API, state management |
.claude/plugins/braintrust-tracing/hooks/session_start.sh | Creates root span, handles sub-agent context |
.claude/plugins/braintrust-tracing/hooks/user_prompt_submit.sh | Creates Turn spans per user message |
.claude/plugins/braintrust-tracing/hooks/pre_tool_use.sh | Injects trace context into Task prompts |
.claude/plugins/braintrust-tracing/hooks/post_tool_use.sh | Creates tool spans, captures agent/skill metadata |
.claude/plugins/braintrust-tracing/hooks/stop_hook.sh | Creates LLM spans, finalizes Turns |
.claude/plugins/braintrust-tracing/hooks/session_end.sh | Finalizes session, triggers learning extraction |
scripts/braintrust_analyze.py | Query and analyze traced sessions |
~/.claude/state/braintrust_sessions/ | Per-session state files |
~/.claude/state/braintrust_hook.log | Debug log |
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
TRACE_TO_BRAINTRUST | Yes | - | Set to "true" to enable |
BRAINTRUST_API_KEY | Yes | - | API key for Braintrust |
BRAINTRUST_CC_PROJECT | No | claude-code | Project name |
BRAINTRUST_CC_DEBUG | No | false | Verbose logging |
BRAINTRUST_API_URL | No | https://api.braintrust.dev | API endpoint |
Session Learnings
What We Learned About Sub-Agent Tracing (Dec 2025)
Attempted: Inject trace context via PreToolUse into Task prompts.
Result: Failed - SessionStart only receives session metadata, not the prompt.
Discovery: Task spans already contain rich sub-agent data:
metadata.agent_type- agent type fromsubagent_typemetadata.skill_name- skill from Skill tooltool_input- full prompt sent to agenttool_output- agent response
Current correlation path:
- Parent session Task span has
agentIdand timing - Sub-agent creates orphaned trace with
root_span_id = session_id - SubagentStop provides the sub-agent's
session_id - Manual correlation: match timing or use
session_idlink
Future work: Write child_session_id to Task span metadata from PostToolUse after SubagentStop.
What We Learned About Sub-Agent Correlation
The Problem
- Sub-agents spawned via Task tool create orphaned Braintrust traces
- Parent session has Task spans with
agentId, sub-agent has separatesession_id - No built-in link between them
What DOESN'T Work
1. Prompt injection via PreToolUse
SessionStart hook only receives session metadata (session_id, type, cwd), NOT the prompt. Injected trace context is never seen.
The hook receives:
{
"session_id": "...",
"type": "start|resume|compact|clear",
"cwd": "...",
"env": {...}
}
No prompt field exists - context injection is impossible at SessionStart.
2. SubagentStop → PostToolUse file handoff
Race condition. The
Content truncated.
When not to use it
- →Real-time linking of sub-agent traces
- →When prompt injection via hooks is required
Prerequisites
Limitations
- →Sub-agents create orphaned traces
- →No real-time linking between parent and child sessions
- →Hooks lack access to task prompts
How it compares
It provides automated correlation of orphaned sub-agent traces that manual log inspection cannot easily link.
Compared to similar skills
braintrust-tracing side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| braintrust-tracing (this skill) | 1 | 7mo | Review | Intermediate |
| langsmith-observability | 4 | 7mo | Review | Intermediate |
| error-diagnostics-smart-debug | 5 | 3mo | No flags | Advanced |
| debugging-toolkit-smart-debug | 4 | 3mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by parcadei
View all by parcadei →You might also like
langsmith-observability
davila7
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
error-diagnostics-smart-debug
sickn33
Use when working with error diagnostics smart debug
debugging-toolkit-smart-debug
sickn33
Use when working with debugging toolkit smart debug
jaeger-analysis
incidentfox
Jaeger distributed tracing analysis. Use when investigating request latency, tracing errors across services, finding slow spans, or understanding service dependencies.
agentation
benjitaylor
Add Agentation visual feedback toolbar to a Next.js project
log-analyzer
mikopbx
Анализ логов Docker контейнера для диагностики проблем и мониторинга здоровья системы. Использовать при отладке ошибок, отслеживании процессов воркеров, исследовании проблем API или мониторинге поведения системы после тестов.