Scheduled Commit

traces/agent_log.jsonl

@@ -1 +1,3 @@
 {"trace_id": "20260607_080912_e8baee", "ts": "2026-06-07T15:09:17.503423+00:00", "query": "departures from LAX", "mode": "llm", "tool_calls": ["search_by_airport"], "flights_returned": 20}
+{"trace_id": "20260729_050705_a1c6bf", "ts": "2026-07-29T03:07:16.061524+00:00", "query": "arrivals into JFK", "mode": "llm", "tool_calls": ["search_by_airport"], "flights_returned": 20}
+{"trace_id": "20260729_050740_724fa5", "ts": "2026-07-29T03:07:42.525581+00:00", "query": "fastest way from Berkeley to SFO", "mode": "transit-llm", "tool_calls": ["plan_trip"], "flights_returned": 10}

traces/trace_20260729_050705_a1c6bf.json

@@ -0,0 +1,63 @@
+{
+  "trace_id": "20260729_050705_a1c6bf",
+  "started_at": "2026-07-29T03:07:05.932563+00:00",
+  "model": "openbmb/MiniCPM5-1B",
+  "query": "arrivals into JFK",
+  "agent_mode": "llm",
+  "steps": [
+    {
+      "step": 1,
+      "phase": "plan",
+      "model_raw": "<think>\nThe user is asking for arrivals into JFK. I need to use the search_by_airport tool with the airport code JFK and direction \"inbound\".\n</think>\n\n{\"tool\": \"search_by_airport\", \"airport\": \"JFK\", \"direction\": \"inbound\"}",
+      "parsed_action": {
+        "tool": "search_by_airport",
+        "airport": "JFK",
+        "direction": "inbound"
+      },
+      "latency_ms": 3750
+    },
+    {
+      "step": 2,
+      "phase": "act",
+      "tool": "search_by_airport",
+      "args": {
+        "airport": "JFK",
+        "direction": "inbound"
+      },
+      "meta": {
+        "airport": "JFK",
+        "direction": "inbound",
+        "request_url": "https://fr24api.flightradar24.com/api/live/flight-positions/full?airports=inbound%3AJFK&limit=200"
+      },
+      "result_count": 20,
+      "latency_ms": 340,
+      "error": null
+    },
+    {
+      "step": 3,
+      "phase": "answer",
+      "model_raw": "<think>\nThe user wants me to summarize flight search results for arrivals into JFK. I have the data from the tool call. I need to summarize in 1-3 sentences, use callsigns and routes, and be concise. I should not invent flights.\n\nLet me extract the relevant information: arrivals into JFK. I'll list the flight numbers and their callsigns and routes.\n\nI can group by callsigns to make it concise. I'll pick the most relevant ones.\n\nI should structure it as:\n- Sentence 1: Introduce the arrivals.\n- Sentence 2: List key flights with callsigns and routes.\n- Sentence 3: Mention the total count.\n\nI need to be concise, so I'll avoid extra details.\n\nLet me list the callsigns: B78, A332, PAL126, A333, CPA844, AVA206, AIZ991, DAL938, CMP804, GLG7396, DAL1394, VIV686, BWA526, DAL396, AAL832, GLG7392, GLG7394, ASA36, AAL293, BCS364.\n\nI'll group by callsigns to make it readable.\n\nI'll write:\n\nArrivals into JFK include 20 flights from various carriers. Key flights include KQA002, ASA830, PAL126, ASA2626, CPA844, AVA206, AIZ991, DAL938, CMP804, GLG7396, DAL1394, VIV686, BWA526, DAL396, AAL832, GLG7392, GLG7394, ASA36, AAL293, and BCS364.\n\nThat's 20 flights. I can add a sentence about the time or something, but I should stick to 1-3 sentences. I'll combine.\n\nI'll make it:\n\n20 live arrivals into JFK were found. The flights include",
+      "latency_ms": 6009
+    }
+  ],
+  "tool_calls": [
+    {
+      "tool": "search_by_airport",
+      "args": {
+        "airport": "JFK",
+        "direction": "inbound"
+      },
+      "meta": {
+        "airport": "JFK",
+        "direction": "inbound",
+        "request_url": "https://fr24api.flightradar24.com/api/live/flight-positions/full?airports=inbound%3AJFK&limit=200"
+      },
+      "result_count": 20,
+      "latency_ms": 340,
+      "error": null
+    }
+  ],
+  "flights_returned": 20,
+  "answer": "<think>\nThe user wants me to summarize flight search results for arrivals into JFK. I have the data from the tool call. I need to summarize in 1-3 sentences, use callsigns and routes, and be concise. I should not invent flights.\n\nLet me extract the relevant information: arrivals into JFK. I'll list the flight numbers and their callsigns and routes.\n\nI can group by callsigns to make it concise. I'll pick the most relevant ones.\n\nI should structure it as:\n- Sentence 1: Introduce the arrivals.\n- Sentence 2: List key flights with callsigns and routes.\n- Sentence 3: Mention the total count.\n\nI need to be concise, so I'll avoid extra details.\n\nLet me list the callsigns: B78, A332, PAL126, A333, CPA844, AVA206, AIZ991, DAL938, CMP804, GLG7396, DAL1394, VIV686, BWA526, DAL396, AAL832, GLG7392, GLG7394, ASA36, AAL293, BCS364.\n\nI'll group by callsigns to make it readable.\n\nI'll write:\n\nArrivals into JFK include 20 flights from various carriers. Key flights include KQA002, ASA830, PAL126, ASA2626, CPA844, AVA206, AIZ991, DAL938, CMP804, GLG7396, DAL1394, VIV686, BWA526, DAL396, AAL832, GLG7392, GLG7394, ASA36, AAL293, and BCS364.\n\nThat's 20 flights. I can add a sentence about the time or something, but I should stick to 1-3 sentences. I'll combine.\n\nI'll make it:\n\n20 live arrivals into JFK were found. The flights include",
+  "ended_at": "2026-07-29T03:07:16.061524+00:00"
+}

traces/trace_20260729_050740_724fa5.json

@@ -0,0 +1,48 @@
+{
+  "trace_id": "20260729_050740_724fa5",
+  "started_at": "2026-07-29T03:07:40.521413+00:00",
+  "model": "openbmb/MiniCPM5-1B",
+  "query": "fastest way from Berkeley to SFO",
+  "agent_mode": "transit-llm",
+  "steps": [
+    {
+      "step": 1,
+      "phase": "plan",
+      "model_raw": "<think>\nThe user wants to find the fastest way from Berkeley to SFO. I should use the plan_trip tool for this.\n</think>\n\n{\"tool\":\"plan_trip\",\"origin\":\"Berkeley\",\"destination\":\"SFO\"}",
+      "parsed_action": {
+        "tool": "plan_trip",
+        "origin": "Berkeley",
+        "destination": "SFO"
+      },
+      "latency_ms": 879
+    },
+    {
+      "step": 2,
+      "phase": "act",
+      "tool": "plan_trip",
+      "args": {
+        "origin": "Berkeley",
+        "destination": "SFO"
+      },
+      "latency_ms": 1124,
+      "error": null,
+      "result_count": 10
+    }
+  ],
+  "tool_calls": [
+    {
+      "tool": "plan_trip",
+      "args": {
+        "origin": "Berkeley",
+        "destination": "SFO"
+      },
+      "latency_ms": 1124,
+      "error": null,
+      "result_count": 10
+    }
+  ],
+  "flights_returned": 10,
+  "answer": "**Fastest: BART** (~51 min) — ~12 min faster than the alternative.\nTrip Downtown Berkeley → San Francisco International Airport (~30.3 km).\n• BART: next train in 6 min, ~45 min ride, **~51 min total** (est).\n• Driving: **~63 min** est (12 active incidents region-wide).\nNext departures from Downtown Berkeley (all directions): Orange-N→Richmond in 6m; Orange-S→Berryessa / North San Jose in 11m; Red-N→Richmond in 17m; Orange-N→Richmond in 19m\n_Transit times are straight-line estimates (511 has no trip planner; transfers not modeled)._",
+  "mode_kind": "transit",
+  "ended_at": "2026-07-29T03:07:42.525581+00:00"
+}