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"""
FastAPI endpoint for Codette AI
"""
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
import logging
from typing import Optional, Dict, Any
import sys
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Import Codette
try:
from codette_new import Codette
except ImportError:
logger.warning("Could not import from codette_new, attempting fallback...")
try:
from Codette.codette_new import Codette
except ImportError:
logger.error("Failed to import Codette. Please ensure codette_new.py is in path.")
sys.exit(1)
# Initialize FastAPI app
app = FastAPI(
title="Codette AI API",
description="FastAPI interface for Codette AI assistant",
version="1.0.0"
)
# Initialize Codette instance
try:
codette = Codette(user_name="API_User")
logger.info("Codette AI initialized successfully")
except Exception as e:
logger.error(f"Failed to initialize Codette: {e}")
codette = None
# Pydantic models for request/response
class PromptRequest(BaseModel):
"""Request model for prompt processing"""
prompt: str = Field(..., min_length=1, description="The prompt to send to Codette")
user_name: Optional[str] = Field(default="API_User", description="Optional user name for personalization")
class Config:
schema_extra = {
"example": {
"prompt": "What is the nature of consciousness?",
"user_name": "Alice"
}
}
class CodetteResponse(BaseModel):
"""Response model for Codette outputs"""
response: str = Field(..., description="Codette's response to the prompt")
status: str = Field(default="success", description="Status of the request")
error: Optional[str] = Field(default=None, description="Error message if any")
class Config:
schema_extra = {
"example": {
"response": "[Neural] The pattern emerges...",
"status": "success"
}
}
class HealthResponse(BaseModel):
"""Health check response"""
status: str = Field(default="healthy")
message: str = Field(default="Codette API is running")
version: str = Field(default="1.0.0")
# API endpoints
@app.get("/", tags=["Info"])
async def root():
"""Root endpoint - API information"""
return {
"name": "Codette AI API",
"version": "1.0.0",
"description": "FastAPI interface for Codette AI assistant",
"endpoints": {
"POST /codette/chat": "Send a message to Codette",
"POST /codette/respond": "Get Codette's response (alias for /chat)",
"GET /health": "Health check",
"GET /docs": "API documentation (Swagger UI)",
"GET /redoc": "ReDoc documentation"
}
}
@app.get("/health", response_model=HealthResponse, tags=["Health"])
async def health_check():
"""Health check endpoint"""
if codette is None:
raise HTTPException(status_code=503, detail="Codette not initialized")
return HealthResponse(
status="healthy",
message="Codette API is running",
version="1.0.0"
)
@app.post("/codette/chat", response_model=CodetteResponse, tags=["Chat"])
async def chat(request: PromptRequest) -> CodetteResponse:
"""
Chat endpoint - send a message to Codette and get a response
Args:
request: PromptRequest containing prompt and optional user_name
Returns:
CodetteResponse with Codette's response
"""
if codette is None:
raise HTTPException(status_code=503, detail="Codette not initialized")
if not request.prompt or not request.prompt.strip():
raise HTTPException(status_code=400, detail="Prompt cannot be empty")
try:
# Create a new Codette instance with user name for personalization
user_codette = Codette(user_name=request.user_name)
response = user_codette.respond(request.prompt)
logger.info(f"Processed query from {request.user_name}")
return CodetteResponse(
response=response,
status="success"
)
except Exception as e:
logger.error(f"Error processing request: {e}")
raise HTTPException(status_code=500, detail=f"Error processing request: {str(e)}")
@app.post("/codette/respond", response_model=CodetteResponse, tags=["Chat"])
async def respond(request: PromptRequest) -> CodetteResponse:
"""
Alias endpoint for chat - for compatibility
Args:
request: PromptRequest containing prompt and optional user_name
Returns:
CodetteResponse with Codette's response
"""
return await chat(request)
@app.post("/codette/process", response_model=Dict[str, Any], tags=["Processing"])
async def process(request: PromptRequest) -> Dict[str, Any]:
"""
Advanced processing endpoint with additional metadata
Args:
request: PromptRequest containing prompt and optional user_name
Returns:
Dictionary with response, metadata, and status
"""
if codette is None:
raise HTTPException(status_code=503, detail="Codette not initialized")
try:
user_codette = Codette(user_name=request.user_name)
response = user_codette.respond(request.prompt)
return {
"status": "success",
"response": response,
"user": request.user_name,
"prompt_length": len(request.prompt),
"response_length": len(response)
}
except Exception as e:
logger.error(f"Error in process endpoint: {e}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/status", tags=["Status"])
async def status():
"""Get current system status"""
return {
"codette_initialized": codette is not None,
"api_status": "operational",
"version": "1.0.0"
}
# Exception handlers
@app.exception_handler(HTTPException)
async def http_exception_handler(request, exc):
"""Handle HTTP exceptions"""
return {
"status": "error",
"message": exc.detail,
"status_code": exc.status_code
}
if __name__ == "__main__":
import uvicorn
# Run the server
uvicorn.run(
app,
host="127.0.0.1",
port=8000,
log_level="info"
)
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