OpenAI Model Examples for Text and Audio
f488b760-7be0-481f-836b-c85c516b0c7e
Latency
56224ms
Cost
$0.0009
Tokens
585
Status
partialgemini-2.5-flash
Workflow Graph
Trace
[
{
"data": {
"nodeType": "manualTrigger"
},
"event": "node_start",
"nodeId": "ad6dc2cd-21cc-4563-86ba-f78cc4a55543",
"timestamp": 1783446938262
},
{
"data": {
"initialData": {
"text": "Please summarize the following document about the latest advancements in renewable energy technologies and identify any potential challenges for widespread adoption.",
"prompt": "Analyze the provided text and extract the main arguments regarding the future of AI in healthcare. Focus on diagnostic capabilities and patient care improvements.",
"choices": {
"message": {
"content": "The report details significant progress in quantum entanglement and qubit stability, suggesting that quantum computers could break current encryption standards within the next decade. It also highlights the development of quantum-resistant cryptographic algorithms as a crucial countermeasure."
}
},
"message": {
"content": "Summarize the key findings of the attached report on quantum computing breakthroughs and their implications for cybersecurity."
},
"messages": [
{
"role": "system",
"content": "You are a helpful assistant that summarizes technical documents."
},
{
"role": "user",
"content": "Summarize the key findings of the attached report on quantum computing breakthroughs and their implications for cybersecurity."
}
]
}
},
"event": "triggered",
"nodeId": "manualTrigger",
"timestamp": 1783446938262
},
{
"data": {
"status": "ok",
"nodeType": "manualTrigger"
},
"event": "node_end",
"nodeId": "ad6dc2cd-21cc-4563-86ba-f78cc4a55543",
"timestamp": 1783446938262
},
{
"data": {
"nodeType": "integration"
},
"event": "node_start",
"nodeId": "6c9f8a70-99ae-4310-8e6a-26cc6f75b3a2",
"timestamp": 1783446938263
},
{
"data": {
"mode": "read",
"status": "ok",
"fixture": true,
"service": "readbinaryfiles",
"latencyMs": 0,
"operation": "run",
"simulated": true
},
"event": "integration_mocked",
"nodeId": "integration",
"timestamp": 1783446938263
},
{
"data": {
"status": "ok",
"nodeType": "integration"
},
"event": "node_end",
"nodeId": "6c9f8a70-99ae-4310-8e6a-26cc6f75b3a2",
"timestamp": 1783446938263
},
{
"data": {
"nodeType": "set"
},
"event": "node_start",
"nodeId": "8a9f7a20-187c-4494-8005-b10d066d04e2",
"timestamp": 1783446938264
},
{
"data": {
"inputKeys": [
"text",
"message",
"messages",
"choices",
"prompt"
],
"mergeKeys": [
"string"
]
},
"event": "merged",
"nodeId": "set",
"timestamp": 1783446938264
},
{
"data": {
"status": "ok",
"nodeType": "set"
},
"event": "node_end",
"nodeId": "8a9f7a20-187c-4494-8005-b10d066d04e2",
"timestamp": 1783446938264
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "fe64533a-4cd4-4adc-a48a-8abf3f2d61d7",
"timestamp": 1783446938266
},
{
"data": {
"messages": 1,
"maxTokens": 15
},
"event": "calling openai/gpt-3.5-turbo-0301",
"nodeId": "llm",
"timestamp": 1783446938266
},
{
"data": {
"model": "gpt-3.5-turbo-0301",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446938266
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.000073,
"provider": "openai",
"latencyMs": 592,
"promptTokens": 85,
"completionTokens": 19
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446938858
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "fe64533a-4cd4-4adc-a48a-8abf3f2d61d7",
"timestamp": 1783446938858
},
{
"data": {
"nodeType": "http"
},
"event": "node_start",
"nodeId": "0edc1996-6484-4e62-a47b-5666dfbb3546",
"timestamp": 1783446938859
},
{
"data": {
"mode": "read",
"status": "ok",
"service": "http",
"latencyMs": 0,
"operation": "fixture",
"simulated": true
},
"event": "integration_mocked",
"nodeId": "integration",
"timestamp": 1783446938859
},
{
"data": {
"status": "ok",
"nodeType": "http"
},
"event": "node_end",
"nodeId": "0edc1996-6484-4e62-a47b-5666dfbb3546",
"timestamp": 1783446938859
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "f5a55cfe-c110-4833-9668-1f1ba895860f",
"timestamp": 1783446938861
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-3.5-turbo-0301",
"nodeId": "llm",
"timestamp": 1783446938861
},
{
"data": {
"model": "gpt-3.5-turbo-0301",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446938861
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.00014240000000000002,
"provider": "openai",
"latencyMs": 637,
"promptTokens": 33,
"completionTokens": 53
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446939498
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "f5a55cfe-c110-4833-9668-1f1ba895860f",
"timestamp": 1783446939498
},
{
"data": {
"nodeType": "code"
},
"event": "node_start",
"nodeId": "c52c875b-5270-44ac-bfca-ce25124e3d04",
"timestamp": 1783446939498
},
{
"data": {
"status": "ok",
"nodeType": "code"
},
"event": "node_end",
"nodeId": "c52c875b-5270-44ac-bfca-ce25124e3d04",
"timestamp": 1783446939500
},
{
"data": {
"nodeType": "passthrough"
},
"event": "node_start",
"nodeId": "68fcc6a2-761c-42ac-8778-313c8db7d53c",
"timestamp": 1783446939501
},
{
"data": {},
"event": "noOp",
"nodeId": "passthrough",
"timestamp": 1783446939501
},
{
"data": {
"status": "ok",
"nodeType": "passthrough"
},
"event": "node_end",
"nodeId": "68fcc6a2-761c-42ac-8778-313c8db7d53c",
"timestamp": 1783446939501
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "b370da23-ead4-4221-b7fe-a9d943f7fbb9",
"timestamp": 1783446939504
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446939504
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446939504
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.0000243,
"provider": "openai",
"latencyMs": 394,
"promptTokens": 6,
"completionTokens": 9
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446939898
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "b370da23-ead4-4221-b7fe-a9d943f7fbb9",
"timestamp": 1783446939898
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "95254870-65c3-4714-83fb-20ba2c0ca007",
"timestamp": 1783446939900
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446939900
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446939900
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.0000335,
"provider": "openai",
"latencyMs": 382,
"promptTokens": 20,
"completionTokens": 11
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446940282
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "95254870-65c3-4714-83fb-20ba2c0ca007",
"timestamp": 1783446940282
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "5e04f355-36c0-4540-8e65-68118cb73135",
"timestamp": 1783446940284
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446940284
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446940284
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.0000851,
"provider": "openai",
"latencyMs": 550,
"promptTokens": 42,
"completionTokens": 29
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446940834
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "5e04f355-36c0-4540-8e65-68118cb73135",
"timestamp": 1783446940834
},
{
"data": {
"nodeType": "code"
},
"event": "node_start",
"nodeId": "45d3bad7-0e9a-426b-b4e9-b3568181d9dc",
"timestamp": 1783446940834
},
{
"data": {
"status": "ok",
"nodeType": "code"
},
"event": "node_end",
"nodeId": "45d3bad7-0e9a-426b-b4e9-b3568181d9dc",
"timestamp": 1783446940836
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "16a7cf80-16e3-44f9-b15c-7501417fe38f",
"timestamp": 1783446940837
},
{
"data": {
"messages": 1,
"maxTokens": 1024
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446940837
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446940837
},
{
"data": {
"error": "Google Gemini API error (500): {\n \"error\": {\n \"code\": 500,\n \"message\": \"An internal error has occurred. Please retry or report in https://developers.generativeai.google/guide/troubleshooting\",\n \"status\": \"INTERNAL\"\n }\n}\n",
"status": "error",
"degraded": true,
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "16a7cf80-16e3-44f9-b15c-7501417fe38f",
"timestamp": 1783446966288
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "be9c4820-18b0-46fd-a5a0-51a5dc3ebed5",
"timestamp": 1783446966290
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446966290
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446966290
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.000057,
"provider": "openai",
"latencyMs": 519,
"promptTokens": 15,
"completionTokens": 21
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446966810
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "be9c4820-18b0-46fd-a5a0-51a5dc3ebed5",
"timestamp": 1783446966810
},
{
"data": {
"nodeType": "http"
},
"event": "node_start",
"nodeId": "4db3de05-51a7-46ea-a818-508bdcb04582",
"timestamp": 1783446966811
},
{
"data": {
"mode": "read",
"status": "ok",
"service": "http",
"latencyMs": 0,
"operation": "fixture",
"simulated": true
},
"event": "integration_mocked",
"nodeId": "integration",
"timestamp": 1783446966811
},
{
"data": {
"status": "ok",
"nodeType": "http"
},
"event": "node_end",
"nodeId": "4db3de05-51a7-46ea-a818-508bdcb04582",
"timestamp": 1783446966811
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "709fcd7c-deb3-469d-b16b-62d4d36d100d",
"timestamp": 1783446966812
},
{
"data": {
"messages": 1,
"maxTokens": 500
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446966812
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446966812
},
{
"data": {
"model": "gemini-2.5-flash",
"costUsd": 0.0004708,
"provider": "openai",
"latencyMs": 1539,
"promptTokens": 61,
"completionTokens": 181
},
"event": "llm_result",
"nodeId": "_context",
"timestamp": 1783446968352
},
{
"data": {
"status": "ok",
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "709fcd7c-deb3-469d-b16b-62d4d36d100d",
"timestamp": 1783446968352
},
{
"data": {
"nodeType": "llm"
},
"event": "node_start",
"nodeId": "a003a4db-1960-4867-8dfe-3114cf0742f3",
"timestamp": 1783446968353
},
{
"data": {
"messages": 1,
"maxTokens": 1024
},
"event": "calling openai/gpt-4o-mini",
"nodeId": "llm",
"timestamp": 1783446968353
},
{
"data": {
"model": "gpt-4o-mini",
"provider": "openai"
},
"event": "llm_call",
"nodeId": "_context",
"timestamp": 1783446968353
},
{
"data": {
"error": "Google Gemini API error (500): {\n \"error\": {\n \"code\": 500,\n \"message\": \"An internal error has occurred. Please retry or report in https://developers.generativeai.google/guide/troubleshooting\",\n \"status\": \"INTERNAL\"\n }\n}\n",
"status": "error",
"degraded": true,
"nodeType": "llm"
},
"event": "node_end",
"nodeId": "a003a4db-1960-4867-8dfe-3114cf0742f3",
"timestamp": 1783446994486
}
]