61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
# Copyright (C) 2025 AIDC-AI
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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LLM (Large Language Model) endpoints
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"""
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from fastapi import APIRouter, HTTPException
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from loguru import logger
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from api.dependencies import PixelleVideoDep
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from api.schemas.llm import LLMChatRequest, LLMChatResponse
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router = APIRouter(prefix="/llm", tags=["Basic Services"])
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@router.post("/chat", response_model=LLMChatResponse)
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async def llm_chat(
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request: LLMChatRequest,
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pixelle_video: PixelleVideoDep
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):
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"""
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LLM chat endpoint
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Generate text response using configured LLM.
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- **prompt**: User prompt/question
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- **temperature**: Creativity level (0.0-2.0, lower = more deterministic)
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- **max_tokens**: Maximum response length
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Returns generated text response.
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"""
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try:
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logger.info(f"LLM chat request: {request.prompt[:50]}...")
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# Call LLM service
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response = await pixelle_video.llm(
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prompt=request.prompt,
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temperature=request.temperature,
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max_tokens=request.max_tokens
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)
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return LLMChatResponse(
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content=response,
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tokens_used=None # Can add token counting if needed
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)
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except Exception as e:
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logger.error(f"LLM chat error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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