session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON
Install
npx skills add https://github.com/evalstate/fast-agent/tree/main/examples/hf-toad-cards/skills/session-investigator
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install evalstate-fast-agent@llmmart
git clone https://github.com/evalstate/fast-agent.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole evalstate/fast-agent collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Session Investigator
Diagnose fast-agent session issues by examining session and history files.
Session Directory Structure
Sessions are stored in .fast-agent/sessions/<session-id>/:
2601181023-Kob2h3/
├── session.json # Session metadata
├── history_<agent>.json # Current agent history
└── history_<agent>_previous.json # Previous save (rotation backup)
Session IDs encode creation time: YYMMDDHHMM-<random> (e.g., 2601181023 = 2026-01-18 10:23).
Key Files
session.json
{
"name": "2601181023-Kob2h3",
"created_at": "2026-01-18T10:23:24.116526",
"last_activity": "2026-01-18T10:39:42.873467",
"history_files": ["history_dev_previous.json", "history_dev.json"],
"metadata": {
"agent_name": "dev",
"first_user_preview": "is it possible to override..."
}
}
history_
{
"messages": [
{
"role": "user|assistant",
"content": [{"type": "text", "text": "..."}],
"tool_calls": {"<id>": {"method": "tools/call", "params": {"name": "...", "arguments": {}}}},
"tool_results": {"<id>": {"content": [...], "isError": false}},
"channels": {
"fast-agent-timing": [{"type": "text", "text": "{\"start_time\": ..., \"end_time\": ..., \"duration_ms\": ...}"}],
"fast-agent-tool-timing": [{"type": "text", "text": "{\"<tool_id>\": {\"timing_ms\": ..., \"transport_channel\": ...}}"}],
"reasoning": [{"type": "text", "text": "..."}]
},
"stop_reason": "endTurn|toolUse|error",
"is_template": false
}
]
}
Investigation Commands
Basic inspection
# Message count
jq '.messages | length' history_dev.json
# Last N messages overview
jq '.messages[-5:] | .[] | {role, stop_reason, has_tool_calls: (.tool_calls != null), has_tool_results: (.tool_results != null)}' history_dev.json
# View specific message
jq '.messages[227]' history_dev.json
Tool call correlation
Tool calls and results are linked by correlation ID. Valid pattern: assistant with tool_calls → user with matching tool_results.
# Check tool call/result pairing
jq '.messages[-10:] | to_entries | .[] | {
index: .key,
role: .value.role,
tool_calls: (if .value.tool_calls then (.value.tool_calls | keys) else [] end),
tool_results: (if .value.tool_results then (.value.tool_results | keys) else [] end)
}' history_dev.json
Find specific tool calls
# Find all calls to a specific tool
jq '.messages | to_entries | .[] |
select(.value.tool_calls != null) |
select(.value.tool_calls | to_entries | .[0].value.params.name == "agent__ripgrep_search") |
{index: .key, timing: (.value.channels."fast-agent-timing"[0].text)}' history_dev.json
Session Statistics
LLM Call Stats
# Total LLM time and call count
jq '[.messages[] | select(.role == "assistant") |
select(.channels."fast-agent-timing") |
.channels."fast-agent-timing"[0].text | fromjson | .duration_ms] |
{count: length, total_ms: add, avg_ms: (add/length), max_ms: max, min_ms: min}' history_dev.json
# LLM calls sorted by duration (slowest first)
jq '[.messages | to_entries | .[] |
select(.value.role == "assistant") |
select(.value.channels."fast-agent-timing") |
{index: .key, duration_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] |
sort_by(-.duration_ms) | .[0:10]' history_dev.json
Tool Execution Stats
# All tool timings aggregated
jq '[.messages[] | select(.channels."fast-agent-tool-timing") |
.channels."fast-agent-tool-timing"[0].text | fromjson | to_entries | .[].value.timing_ms] |
{count: length, total_ms: add, avg_ms: (add/length), max_ms: max, min_ms: min}' history_dev.json
# Tool calls by name with timing
jq '[.messages | to_entries | .[] |
select(.value.tool_calls) |
(.value.tool_calls | to_entries | .[0]) as $tc |
{index: .key, tool: $tc.value.params.name,
llm_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] |
group_by(.tool) |
map({tool: .[0].tool, count: length, total_llm_ms: (map(.llm_ms) | add)}) |
sort_by(-.count)' history_dev.json
Session Timeline
# Session duration from first to last timing
jq '.messages | [
(map(select(.channels."fast-agent-timing")) | first | .channels."fast-agent-timing"[0].text | fromjson | .start_time),
(map(select(.channels."fast-agent-timing")) | last | .channels."fast-agent-timing"[0].text | fromjson | .end_time)
] | {start: .[0], end: .[1], duration_sec: ((.[1] - .[0]) | round)}' history_dev.json
# Message rate over time (messages per minute estimate)
jq '{
messages: (.messages | length),
llm_calls: [.messages[] | select(.role == "assistant" and .channels."fast-agent-timing")] | length,
total_llm_ms: [.messages[] | select(.channels."fast-agent-timing") | .channels."fast-agent-timing"[0].text | fromjson | .duration_ms] | add,
total_tool_ms: [.messages[] | select(.channels."fast-agent-tool-timing") | .channels."fast-agent-tool-timing"[0].text | fromjson | to_entries | .[].value.timing_ms] | add
} | . + {llm_sec: (.total_llm_ms/1000), tool_sec: ((.total_tool_ms//0)/1000)}' history_dev.json
Sub-agent Stats
# Sub-agent calls (tools starting with "agent__")
jq '[.messages | to_entries | .[] |
select(.value.tool_calls) |
(.value.tool_calls | to_entries | .[0]) as $tc |
select($tc.value.params.name | startswith("agent__")) |
{index: .key, agent: $tc.value.params.name,
llm_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] |
group_by(.agent) |
map({agent: .[0].agent, calls: length, total_ms: (map(.llm_ms) | add), avg_ms: ((map(.llm_ms) | add) / length)})' history_dev.json
Common Failure Patterns
Unanswered Tool Call
Symptom: API error "No tool output found for function call"
Pattern: History ends with assistant message having tool_calls and stop_reason: "toolUse", followed by user message WITHOUT matching tool_results.
# Check last message for pending tool call
jq '.messages[-1] | {role, has_tool_calls: (.tool_calls != null), stop_reason}' history_dev.json
Cause: Session interrupted mid-tool-loop, then resumed with new user input before tool completed.
Fix: Truncate history to last valid tool result:
# Find last user message with tool_results
jq '.messages | to_entries | map(select(.value.role == "user" and .value.tool_results != null)) | last | .key' history_dev.json
# Truncate (keep messages 0 to N inclusive, so use N+1)
jq '.messages = .messages[0:227]' history_dev.json > /tmp/fixed.json && mv /tmp/fixed.json history_dev.json
Duplicate User Messages
Pattern: Two consecutive user messages before assistant response.
Cause: Often from before_llm_call hooks appending instructions. Check agent card's tool_hooks configuration.
Sub-agent Trace Correlation
Sub-agent traces are saved as <agent_name>-<timestamp>.json in the working directory.
# List traces around session time
ls -la ripgrep_search*2026-01-18-10-3*.json
# Correlate via timing - match monotonic clock values
jq '.messages[-1].channels."fast-agent-timing"[0].text' ripgrep_search*.json
Compare start_time/end_time values between main session and sub-agent traces to correlate which sub-agent call corresponds to which main session tool call.
Log File
Check <fast-agent-home>/fast-agent-log.jsonl for errors during the session timeframe:
# Filter by timestamp range
cat .fast-agent/fast-agent-log.jsonl | while read line; do
ts=$(echo "$line" | jq -r '.timestamp // empty' 2>/dev/null)
if [[ "$ts" > "2026-01-18T10:20" && "$ts" < "2026-01-18T10:45" ]]; then
echo "$line" | jq -c '{timestamp, level, message}'
fi
done
Files (fast-agent)
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SKILL.md 8.1 KB
--- name: session-investigator description: Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns. --- # Session Investigator Diagnose fast-agent session issues by examining session and history files. ## Session Directory Structure Sessions are stored in `.fast-agent/sessions/<session-id>/`: ``` 2601181023-Kob2h3/ ├── session.json # Session metadata ├── history_<agent>.json # Current agent history └── history_<agent>_previous.json # Previous save (rotation backup) ``` Session IDs encode creation time: `YYMMDDHHMM-<random>` (e.g., `2601181023` = 2026-01-18 10:23). ## Key Files ### session.json ```json { "name": "2601181023-Kob2h3", "created_at": "2026-01-18T10:23:24.116526", "last_activity": "2026-01-18T10:39:42.873467", "history_files": ["history_dev_previous.json", "history_dev.json"], "metadata": { "agent_name": "dev", "first_user_preview": "is it possible to override..." } } ``` ### history\_<agent>.json ```json { "messages": [ { "role": "user|assistant", "content": [{"type": "text", "text": "..."}], "tool_calls": {"<id>": {"method": "tools/call", "params": {"name": "...", "arguments": {}}}}, "tool_results": {"<id>": {"content": [...], "isError": false}}, "channels": { "fast-agent-timing": [{"type": "text", "text": "{\"start_time\": ..., \"end_time\": ..., \"duration_ms\": ...}"}], "fast-agent-tool-timing": [{"type": "text", "text": "{\"<tool_id>\": {\"timing_ms\": ..., \"transport_channel\": ...}}"}], "reasoning": [{"type": "text", "text": "..."}] }, "stop_reason": "endTurn|toolUse|error", "is_template": false } ] } ``` ## Investigation Commands ### Basic inspection ```bash # Message count jq '.messages | length' history_dev.json # Last N messages overview jq '.messages[-5:] | .[] | {role, stop_reason, has_tool_calls: (.tool_calls != null), has_tool_results: (.tool_results != null)}' history_dev.json # View specific message jq '.messages[227]' history_dev.json ``` ### Tool call correlation Tool calls and results are linked by correlation ID. Valid pattern: assistant with `tool_calls` → user with matching `tool_results`. ```bash # Check tool call/result pairing jq '.messages[-10:] | to_entries | .[] | { index: .key, role: .value.role, tool_calls: (if .value.tool_calls then (.value.tool_calls | keys) else [] end), tool_results: (if .value.tool_results then (.value.tool_results | keys) else [] end) }' history_dev.json ``` ### Find specific tool calls ```bash # Find all calls to a specific tool jq '.messages | to_entries | .[] | select(.value.tool_calls != null) | select(.value.tool_calls | to_entries | .[0].value.params.name == "agent__ripgrep_search") | {index: .key, timing: (.value.channels."fast-agent-timing"[0].text)}' history_dev.json ``` ## Session Statistics ### LLM Call Stats ```bash # Total LLM time and call count jq '[.messages[] | select(.role == "assistant") | select(.channels."fast-agent-timing") | .channels."fast-agent-timing"[0].text | fromjson | .duration_ms] | {count: length, total_ms: add, avg_ms: (add/length), max_ms: max, min_ms: min}' history_dev.json # LLM calls sorted by duration (slowest first) jq '[.messages | to_entries | .[] | select(.value.role == "assistant") | select(.value.channels."fast-agent-timing") | {index: .key, duration_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] | sort_by(-.duration_ms) | .[0:10]' history_dev.json ``` ### Tool Execution Stats ```bash # All tool timings aggregated jq '[.messages[] | select(.channels."fast-agent-tool-timing") | .channels."fast-agent-tool-timing"[0].text | fromjson | to_entries | .[].value.timing_ms] | {count: length, total_ms: add, avg_ms: (add/length), max_ms: max, min_ms: min}' history_dev.json # Tool calls by name with timing jq '[.messages | to_entries | .[] | select(.value.tool_calls) | (.value.tool_calls | to_entries | .[0]) as $tc | {index: .key, tool: $tc.value.params.name, llm_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] | group_by(.tool) | map({tool: .[0].tool, count: length, total_llm_ms: (map(.llm_ms) | add)}) | sort_by(-.count)' history_dev.json ``` ### Session Timeline ```bash # Session duration from first to last timing jq '.messages | [ (map(select(.channels."fast-agent-timing")) | first | .channels."fast-agent-timing"[0].text | fromjson | .start_time), (map(select(.channels."fast-agent-timing")) | last | .channels."fast-agent-timing"[0].text | fromjson | .end_time) ] | {start: .[0], end: .[1], duration_sec: ((.[1] - .[0]) | round)}' history_dev.json # Message rate over time (messages per minute estimate) jq '{ messages: (.messages | length), llm_calls: [.messages[] | select(.role == "assistant" and .channels."fast-agent-timing")] | length, total_llm_ms: [.messages[] | select(.channels."fast-agent-timing") | .channels."fast-agent-timing"[0].text | fromjson | .duration_ms] | add, total_tool_ms: [.messages[] | select(.channels."fast-agent-tool-timing") | .channels."fast-agent-tool-timing"[0].text | fromjson | to_entries | .[].value.timing_ms] | add } | . + {llm_sec: (.total_llm_ms/1000), tool_sec: ((.total_tool_ms//0)/1000)}' history_dev.json ``` ### Sub-agent Stats ```bash # Sub-agent calls (tools starting with "agent__") jq '[.messages | to_entries | .[] | select(.value.tool_calls) | (.value.tool_calls | to_entries | .[0]) as $tc | select($tc.value.params.name | startswith("agent__")) | {index: .key, agent: $tc.value.params.name, llm_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] | group_by(.agent) | map({agent: .[0].agent, calls: length, total_ms: (map(.llm_ms) | add), avg_ms: ((map(.llm_ms) | add) / length)})' history_dev.json ``` ## Common Failure Patterns ### Unanswered Tool Call **Symptom**: API error "No tool output found for function call" **Pattern**: History ends with `assistant` message having `tool_calls` and `stop_reason: "toolUse"`, followed by `user` message WITHOUT matching `tool_results`. ```bash # Check last message for pending tool call jq '.messages[-1] | {role, has_tool_calls: (.tool_calls != null), stop_reason}' history_dev.json ``` **Cause**: Session interrupted mid-tool-loop, then resumed with new user input before tool completed. **Fix**: Truncate history to last valid tool result: ```bash # Find last user message with tool_results jq '.messages | to_entries | map(select(.value.role == "user" and .value.tool_results != null)) | last | .key' history_dev.json # Truncate (keep messages 0 to N inclusive, so use N+1) jq '.messages = .messages[0:227]' history_dev.json > /tmp/fixed.json && mv /tmp/fixed.json history_dev.json ``` ### Duplicate User Messages **Pattern**: Two consecutive `user` messages before assistant response. **Cause**: Often from `before_llm_call` hooks appending instructions. Check agent card's `tool_hooks` configuration. ## Sub-agent Trace Correlation Sub-agent traces are saved as `<agent_name>-<timestamp>.json` in the working directory. ```bash # List traces around session time ls -la ripgrep_search*2026-01-18-10-3*.json # Correlate via timing - match monotonic clock values jq '.messages[-1].channels."fast-agent-timing"[0].text' ripgrep_search*.json ``` Compare `start_time`/`end_time` values between main session and sub-agent traces to correlate which sub-agent call corresponds to which main session tool call. ## Log File Check `<fast-agent-home>/fast-agent-log.jsonl` for errors during the session timeframe: ```bash # Filter by timestamp range cat .fast-agent/fast-agent-log.jsonl | while read line; do ts=$(echo "$line" | jq -r '.timestamp // empty' 2>/dev/null) if [[ "$ts" > "2026-01-18T10:20" && "$ts" < "2026-01-18T10:45" ]]; then echo "$line" | jq -c '{timestamp, level, message}' fi done ```
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