AI Blog Intro Content Generator
1ba83d81-e69f-44f9-b8aa-0781e855672a
Latency
2603ms
Cost
$0.0010
Tokens
480
Status
successgemini-2.5-flash
Workflow Graph
Trace
[
{
"data": {
"nodeType": "manualTrigger"
},
"event": "node_start",
"nodeId": "trigger",
"timestamp": 1780343980322
},
{
"data": {
"initialData": {
"tone": "Direct, evidence-based, slightly skeptical",
"topic": "Why most AI agent benchmarks are gamed and how to design ones that aren't",
"audience": "Senior engineering managers evaluating LLM agent platforms",
"max_words": 180
}
},
"event": "triggered",
"nodeId": "manualTrigger",
"timestamp": 1780343980322
},
{
"data": {
"status": "ok",
"nodeType": "manualTrigger"
},
"event": "node_end",
"nodeId": "trigger",
"timestamp": 1780343980322
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "writer",
"timestamp": 1780343980322
},
{
"data": {
"messages": 2,
"maxTokens": 400
},
"event": "calling google/gemini-2.5-flash",
"nodeId": "llm",
"timestamp": 1780343980322
},
{
"data": {
"model": "gemini-2.5-flash",
"provider": "google"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1780343980322
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.0010152,
"provider": "google",
"latencyMs": 2603,
"promptTokens": 84,
"completionTokens": 396
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1780343982926
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "writer",
"timestamp": 1780343982926
}
]