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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 ana
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add evalstate/fast-agent --skill session-investigator -a cursor -y
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.
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.
Diagnose fast-agent session issues by examining session and history files.
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).
{
"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..."
}
}
{
"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
}
]
}
# 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 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 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
# 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
# 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 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 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: $tc.value.params.name,
llm_ms: (.value.channels."fast-agent-timing"[0].text | fromjson | .duration_ms)}] |
group_by(.agent) |
map({agent: .[0].agent, calls: length, total_ms: (map(.llm_ms) | add), avg_ms: ((map(.llm_ms) | add) / length)})' history_dev.json
Symptom: API error "No tool output found for function call"
Pattern: History ends with assistant message having tool_calls and stop_reason: "toolUse", followed by user message WITHOUT matching tool_results.
# Check last message for pending tool call
jq '.messages[-1] | {role, has_tool_calls: (.tool_calls != null), stop_reason}' history_dev.json
Cause: Session interrupted mid-tool-loop, then resumed with new user input before tool completed.
Fix: Truncate history to last valid tool result:
# Find last user message with tool_results
jq '.messages | to_entries | map(select(.value.role == "user" and .value.tool_results != null)) | last | .key' history_dev.json
# Truncate (keep messages 0 to N inclusive, so use N+1)
jq '.messages = .messages[0:227]' history_dev.json > /tmp/fixed.json && mv /tmp/fixed.json history_dev.json
Pattern: Two consecutive user messages before assistant response.
Cause: Often from before_llm_call hooks appending instructions. Check agent card's tool_hooks configuration.
Sub-agent traces are saved as <agent_name>-<timestamp>.json in the working directory.
# List traces around session time
ls -la ripgrep_search*2026-01-18-10-3*.json
# Correlate via timing - match monotonic clock values
jq '.messages[-1].channels."fast-agent-timing"[0].text' ripgrep_search*.json
Compare start_time/end_time values between main session and sub-agent traces to correlate which sub-agent call corresponds to which main session tool call.
Check <fast-agent-home>/fast-agent-log.jsonl for errors during the session timeframe:
# Filter by timestamp range
cat .fast-agent/fast-agent-log.jsonl | while read line; do
ts=$(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