125 lines
3.7 KiB
Python
125 lines
3.7 KiB
Python
"""AI Models List API
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OpenAI-compatible models list endpoint for OpenWebUI and other clients.
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Returns all available AI models that can be used with /ai/chat/completions.
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"""
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import time
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from typing import Any
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from motia import FlowContext, http, ApiRequest, ApiResponse
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config = {
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"name": "AI Models List API",
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"description": "OpenAI-compatible models endpoint - lists available AI models",
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"flows": ["ai-general"],
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"triggers": [
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http("GET", "/ai/v1/models"),
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http("GET", "/v1/models"),
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http("GET", "/ai/models")
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],
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}
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async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
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"""
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OpenAI-compatible models list endpoint.
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Returns list of available models for OpenWebUI and other clients.
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Response Format (OpenAI compatible):
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{
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"object": "list",
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"data": [
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{
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"id": "grok-4.20-beta-0309-reasoning",
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"object": "model",
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"created": 1735689600,
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"owned_by": "xai",
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"permission": [],
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"root": "grok-4.20-beta-0309-reasoning",
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"parent": null
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}
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]
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}
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"""
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ctx.logger.info("📋 Models list requested")
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try:
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# Define available models
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# These correspond to models supported by /ai/chat/completions
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current_timestamp = int(time.time())
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models = [
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{
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"id": "grok-4.20-beta-0309-reasoning",
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"object": "model",
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"created": current_timestamp,
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"owned_by": "xai",
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"permission": [],
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"root": "grok-4.20-beta-0309-reasoning",
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"parent": None,
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"capabilities": {
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"file_search": True,
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"web_search": True,
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"streaming": True,
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"reasoning": True
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}
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},
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{
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"id": "grok-4.20-multi-agent-beta-0309",
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"object": "model",
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"created": current_timestamp,
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"owned_by": "xai",
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"permission": [],
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"root": "grok-4.20-multi-agent-beta-0309",
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"parent": None,
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"capabilities": {
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"file_search": True,
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"web_search": True,
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"streaming": True,
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"reasoning": True,
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"multi_agent": True
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}
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},
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{
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"id": "grok-4-1-fast-reasoning",
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"object": "model",
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"created": current_timestamp,
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"owned_by": "xai",
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"permission": [],
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"root": "grok-4-1-fast-reasoning",
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"parent": None,
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"capabilities": {
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"file_search": True,
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"web_search": True,
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"streaming": True,
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"reasoning": True
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}
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}
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]
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# Build OpenAI-compatible response
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response_body = {
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"object": "list",
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"data": models
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}
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ctx.logger.info(f"✅ Returned {len(models)} models")
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return ApiResponse(
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status=200,
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body=response_body
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)
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except Exception as e:
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ctx.logger.error(f"❌ Error listing models: {e}")
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return ApiResponse(
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status=500,
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body={
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"error": {
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"message": str(e),
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"type": "server_error"
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}
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}
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)
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