使用Azure OpenAI批量API并行处理多个提示
高级
这是一个Building Blocks, AI领域的自动化工作流，包含 53 个节点。主要使用 If, Set, Code, Wait, Merge 等节点，结合人工智能技术实现智能自动化。 使用Azure OpenAI批量API并行处理多个提示
前置要求
- •可能需要目标 API 的认证凭证
使用的节点 (53)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
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{
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"notes": "JSONL separated by newlines",
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{
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{
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{
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"parameters": {
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{
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"name": "批量状态轮询间隔",
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"webhookId": "8b5afff6-b9eb-414d-8faf-1d0626509021",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"notes": "ensure clean state",
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{
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"name": "JSON请求转JSONL",
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{
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{
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{
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{
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"notes": "GET /openai/files/file_id",
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{
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"notes": "POST /openai/batches",
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{
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"notes": "GET /openai/batches/batch_id",
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{
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"notes": "GET /openai/files/output_file_id/content",
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{
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"name": "设置所需的'api-version'",
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"parameters": {},
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{
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{
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{
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"name": "将请求jsonl转换为文件",
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"notes": "%current-datetime%.jsonl",
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"parameters": {},
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{
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"name": "为单个查询示例附加custom_id",
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"notes": "custom_id",
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{
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{
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{
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{
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"name": "执行工作流'使用Azure OpenAI批量API并行处理多个提示'",
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{
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{
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],
"pinData": {
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{}
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"error": null,
"response": {
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},
"object": "chat.completion",
"choices": [
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"message": {
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"refusal": null
},
"logprobs": null,
"finish_reason": "stop",
"content_filter_results": {
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},
"sexual": {
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"severity": "safe"
},
"violence": {
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"content_filter_results": {
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},
"sexual": {
"filtered": false,
"severity": "safe"
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},
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}
],
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{
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{
"params": {
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{
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},
{
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"content": "Hey Claude, tell me a short fun fact about video games!"
},
{
"role": "assistant",
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{
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}
]
},
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},
{
"params": {
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{
"role": "user",
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}
]
},
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],
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}
]
},
"connections": {
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[
{
"node": "One query example",
"type": "main",
"index": 0
},
{
"node": "Truncate Chat Memory",
"type": "main",
"index": 0
}
]
]
},
"Parse response": {
"main": [
[
{
"node": "Split Out Parsed Results",
"type": "main",
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}
]
]
},
"Setup defaults": {
"main": [
[
{
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}
]
]
},
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[
{
"node": "If ended processing",
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}
]
]
},
"One query example": {
"main": [
[
{
"node": "Append custom_id for single query example",
"type": "main",
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}
]
]
},
"Upload batch file": {
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[
{
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}
]
]
},
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[
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},
"If upload processed": {
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{
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],
[
{
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"type": "main",
"index": 0
}
]
]
},
"Simple Memory Store": {
"ai_memory": [
[
{
"node": "Load Chat Memory Data",
"type": "ai_memory",
"index": 0
},
{
"node": "Fill Chat Memory with example data",
"type": "ai_memory",
"index": 0
},
{
"node": "Truncate Chat Memory",
"type": "ai_memory",
"index": 0
}
]
]
},
"Truncate Chat Memory": {
"main": [
[
{
"node": "Fill Chat Memory with example data",
"type": "main",
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}
]
]
},
"Load Chat Memory Data": {
"main": [
[
{
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"type": "main",
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}
]
]
},
"JSON requests to JSONL": {
"main": [
[
{
"node": "Remove original requests",
"type": "main",
"index": 0
},
{
"node": "Convert requests jsonl to File",
"type": "main",
"index": 0
}
]
]
},
"Remove original requests": {
"main": [
[
{
"node": "Merge File and API Version",
"type": "main",
"index": 1
}
]
]
},
"Track batch job progress": {
"main": [
[
{
"node": "If ended processing",
"type": "main",
"index": 0
}
]
]
},
"Track file upload status": {
"main": [
[
{
"node": "If upload processed",
"type": "main",
"index": 0
}
]
]
},
"File Upload Poll Interval": {
"main": [
[
{
"node": "Track file upload status",
"type": "main",
"index": 0
}
]
]
},
"Set desired 'api-version'": {
"main": [
[
{
"node": "Execute Workflow 'Process Multiple Prompts in Parallel with Azure OpenAI Batch API'",
"type": "main",
"index": 0
}
]
]
},
"Batch Status Poll Interval": {
"main": [
[
{
"node": "Track batch job progress",
"type": "main",
"index": 0
}
]
]
},
"Construct 'requests' array": {
"main": [
[
{
"node": "Set desired 'api-version'",
"type": "main",
"index": 0
}
]
]
},
"Delete original properties": {
"main": [
[
{
"node": "Join two example requests into array",
"type": "main",
"index": 1
}
]
]
},
"Merge File and API Version": {
"main": [
[
{
"node": "Upload batch file",
"type": "main",
"index": 0
}
]
]
},
"Filter First Prompt Results": {
"main": [
[
{
"node": "First Prompt Result",
"type": "main",
"index": 0
}
]
]
},
"Filter Second Prompt Results": {
"main": [
[
{
"node": "Second Prompt Result",
"type": "main",
"index": 0
}
]
]
},
"Change file name and mimetype": {
"main": [
[
{
"node": "Merge File and API Version",
"type": "main",
"index": 0
}
]
]
},
"Convert requests jsonl to File": {
"main": [
[
{
"node": "Change file name and mimetype",
"type": "main",
"index": 0
}
]
]
},
"Retrieve batch job output file": {
"main": [
[
{
"node": "Parse response",
"type": "main",
"index": 0
}
]
]
},
"Set defaults if not set already": {
"main": [
[
{
"node": "JSON requests to JSONL",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Setup defaults",
"type": "main",
"index": 0
}
]
]
},
"Fill Chat Memory with example data": {
"main": [
[
{
"node": "Load Chat Memory Data",
"type": "main",
"index": 0
}
]
]
},
"Join two example requests into array": {
"main": [
[
{
"node": "Construct 'requests' array",
"type": "main",
"index": 0
}
]
]
},
"Append custom_id for chat memory example": {
"main": [
[
{
"node": "Build batch 'request' object from Chat Memory and execution data",
"type": "main",
"index": 0
}
]
]
},
"Append custom_id for single query example": {
"main": [
[
{
"node": "Build batch 'request' object for single query",
"type": "main",
"index": 0
}
]
]
},
"Build batch 'request' object for single query": {
"main": [
[
{
"node": "Delete original properties",
"type": "main",
"index": 0
}
]
]
},
"Build batch 'request' object from Chat Memory and execution data": {
"main": [
[
{
"node": "Join two example requests into array",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow 'Process Multiple Prompts in Parallel with Azure OpenAI Batch API'": {
"main": [
[
{
"node": "Filter First Prompt Results",
"type": "main",
"index": 0
},
{
"node": "Filter Second Prompt Results",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 构建模块, 人工智能
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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作者
Greg Evseev
@greg15+ years in AI/ML development & integration. Now specializing in establishing ISO 42001-compliant AI management systems. Background includes AI/ML research, system development, AI governance, and ISO 42001 Lead Auditor training (in progress). Helping organizations: ✓ Evaluate AI maturity & governance ✓ Implement ISO 42001 systems ✓ Bridge technical & regulatory requirements ✓ Design practical AI governance frameworks Expertise: AI Risk Assessment, Compliance Strategy, Technical Due Diligence.
外部链接
在 n8n.io 查看 →
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