
braintrust-tracing
by parcadei
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Use Cases
MCP Server Integration
AI tool integration using Model Context Protocol. Using braintrust-tracing.
API Integration
Easily build API integrations with external services.
Data Synchronization
Automatically sync data between multiple systems.
SKILL.md
name: braintrust-tracing description: Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging user-invocable: false
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. These are independent async hooks with no timing guarantees:
- SubagentStop fires when sub-agent session ends
- PostToolUse (Task) fires when Task tool completes
- No ordering guarantee between them
- Writing to a correlation file creates a race
3. PreToolUse correlation files
SessionStart can't access the task_span_id because it has no context about which Task spawned it. PreToolUse modifies prompts but doesn't create a reliably accessible state file that SessionStart can find.
What DOES Work
Post-hoc matching for dataset building:
Parent session Task spans contain:
agentId- identifier for the sub-agent runtotalTokens,totalToolUseCount- aggregated metricscontent- full agent response/summarytool_input.prompt- original task prompttool_input.subagent_type- agent type (e.g., "oracle")- Start/end timestamps
Sub-agent sessions contain:
session_id(equals orphaned traceroot_span_id)- Start/end timestamps
- All internal spans and tool calls
Correlation strategy:
- Export parent session traces (query parent
root_span_id) - Export sub-agent traces (query all sessions created within parent's time window)
- Match by:
- Timing: Task span end ≈ sub-agent session end
- Metadata:
subagent_typefrom Task prompt - IDs: SubagentStop hook provides
session_id(can be captured and logged)
Architecture Insight
SessionStart input is intentionally minimal - it contains no prompt or tool context:
interface SessionStartInput {
session_id: string;
type: "start" | "resume" | "compact" | "clear";
cwd: string;
env: { [key: string]: string };
// NO: prompt, tool_context, task_span_id, parent_span_id
}
This design boundary prevents real-time correlation at hook time.
Recommendation
For building agent run datasets with sub-agent correlation:
- In-session logging: Capture SubagentStop
session_idin logs or state - Post-session export: Query Braintrust API for parent and sub-agent traces
- Offline correlation: Match traces by timing and metadata in a script
- Don't try real-time linking: Hooks don't have necessary context
Example script pattern:
# 1. Export parent session
braintrust_analyze.py --replay <parent-session-id> > parent_traces.json
# 2. Query for orphaned sub-agent traces (those created during parent's time window)
braintrust_analyze.py --agent-stats > all_agent_traces.json
# 3. Correlate in Python:
# - Parent Task spans -> agentId, timestamps, subagent_type
# - Orphaned traces -> root_span_id, timestamps
# - Match by timing and type
This approach is reliable, testable, and doesn't require hooks to maintain implicit state.
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