Update app.py

app.py

@@ -2,68 +2,70 @@ import os
 from fastapi import FastAPI, HTTPException, Query
 from fastapi.responses import StreamingResponse
 from openai import AsyncOpenAI
+from collections import defaultdict
 
 app = FastAPI()
 
-# Define available models (you can expand this list)
+# Define available models
 AVAILABLE_MODELS = {
-  "openai/gpt-4.1": "OpenAI GPT-4.1",
-  "openai/gpt-4.1-mini": "OpenAI GPT-4.1-mini",
-  "openai/gpt-4.1-nano": "OpenAI GPT-4.1-nano",
-  "openai/gpt-4o": "OpenAI GPT-4o",
-  "openai/gpt-4o-mini": "OpenAI GPT-4o mini",
-  "openai/o4-mini": "OpenAI o4-mini",
-  "microsoft/MAI-DS-R1": "MAI-DS-R1",
-  "microsoft/Phi-3.5-MoE-instruct": "Phi-3.5-MoE instruct (128k)",
-  "microsoft/Phi-3.5-mini-instruct": "Phi-3.5-mini instruct (128k)",
-  "microsoft/Phi-3.5-vision-instruct": "Phi-3.5-vision instruct (128k)",
-  "microsoft/Phi-3-medium-128k-instruct": "Phi-3-medium instruct (128k)",
-  "microsoft/Phi-3-medium-4k-instruct": "Phi-3-medium instruct (4k)",
-  "microsoft/Phi-3-mini-128k-instruct": "Phi-3-mini instruct (128k)",
-  "microsoft/Phi-3-small-128k-instruct": "Phi-3-small instruct (128k)",
-  "microsoft/Phi-3-small-8k-instruct": "Phi-3-small instruct (8k)",
-  "microsoft/Phi-4": "Phi-4",
-  "microsoft/Phi-4-mini-instruct": "Phi-4-mini-instruct",
-  "microsoft/Phi-4-multimodal-instruct": "Phi-4-multimodal-instruct",
-  "ai21-labs/AI21-Jamba-1.5-Large": "AI21 Jamba 1.5 Large",
-  "ai21-labs/AI21-Jamba-1.5-Mini": "AI21 Jamba 1.5 Mini",
-  "mistral-ai/Codestral-2501": "Codestral 25.01",
-  "cohere/Cohere-command-r": "Cohere Command R",
-  "cohere/Cohere-command-r-08-2024": "Cohere Command R 08-2024",
-  "cohere/Cohere-command-r-plus": "Cohere Command R+",
-  "cohere/Cohere-command-r-plus-08-2024": "Cohere Command R+ 08-2024",
-  "deepseek/DeepSeek-R1": "DeepSeek-R1",
-  "deepseek/DeepSeek-V3-0324": "DeepSeek-V3-0324",
-  "meta/Llama-3.2-11B-Vision-Instruct": "Llama-3.2-11B-Vision-Instruct",
-  "meta/Llama-3.2-90B-Vision-Instruct": "Llama-3.2-90B-Vision-Instruct",
-  "meta/Llama-3.3-70B-Instruct": "Llama-3.3-70B-Instruct",
-  "meta/Llama-4-Maverick-17B-128E-Instruct-FP8": "Llama 4 Maverick 17B 128E Instruct FP8",
-  "meta/Llama-4-Scout-17B-16E-Instruct": "Llama 4 Scout 17B 16E Instruct",
-  "meta/Meta-Llama-3.1-405B-Instruct": "Meta-Llama-3.1-405B-Instruct",
-  "meta/Meta-Llama-3.1-70B-Instruct": "Meta-Llama-3.1-70B-Instruct",
-  "meta/Meta-Llama-3.1-8B-Instruct": "Meta-Llama-3.1-8B-Instruct",
-  "meta/Meta-Llama-3-70B-Instruct": "Meta-Llama-3-70B-Instruct",
-  "meta/Meta-Llama-3-8B-Instruct": "Meta-Llama-3-8B-Instruct",
-  "mistral-ai/Ministral-3B": "Ministral 3B",
-  "mistral-ai/Mistral-Large-2411": "Mistral Large 24.11",
-  "mistral-ai/Mistral-Nemo": "Mistral Nemo",
-  "mistral-ai/Mistral-large-2407": "Mistral Large (2407)",
-  "mistral-ai/Mistral-small": "Mistral Small",
-  "cohere/cohere-command-a": "Cohere Command A",
-  "core42/jais-30b-chat": "JAIS 30b Chat",
-  "mistral-ai/mistral-small-2503": "Mistral Small 3.1"
+    "openai/gpt-4.1": "OpenAI GPT-4.1",
+    "openai/gpt-4.1-mini": "OpenAI GPT-4.1-mini",
+    "openai/gpt-4.1-nano": "OpenAI GPT-4.1-nano",
+    "openai/gpt-4o": "OpenAI GPT-4o",
+    "openai/gpt-4o-mini": "OpenAI GPT-4o mini",
+    "openai/o4-mini": "OpenAI o4-mini",
+    "microsoft/MAI-DS-R1": "MAI-DS-R1",
+    "microsoft/Phi-3.5-MoE-instruct": "Phi-3.5-MoE instruct (128k)",
+    "microsoft/Phi-3.5-mini-instruct": "Phi-3.5-mini instruct (128k)",
+    "microsoft/Phi-3.5-vision-instruct": "Phi-3.5-vision instruct (128k)",
+    "microsoft/Phi-3-medium-128k-instruct": "Phi-3-medium instruct (128k)",
+    "microsoft/Phi-3-medium-4k-instruct": "Phi-3-medium instruct (4k)",
+    "microsoft/Phi-3-mini-128k-instruct": "Phi-3-mini instruct (128k)",
+    "microsoft/Phi-3-small-128k-instruct": "Phi-3-small instruct (128k)",
+    "microsoft/Phi-3-small-8k-instruct": "Phi-3-small instruct (8k)",
+    "microsoft/Phi-4": "Phi-4",
+    "microsoft/Phi-4-mini-instruct": "Phi-4-mini-instruct",
+    "microsoft/Phi-4-multimodal-instruct": "Phi-4-multimodal-instruct",
+    "ai21-labs/AI21-Jamba-1.5-Large": "AI21 Jamba 1.5 Large",
+    "ai21-labs/AI21-Jamba-1.5-Mini": "AI21 Jamba 1.5 Mini",
+    "mistral-ai/Codestral-2501": "Codestral 25.01",
+    "cohere/Cohere-command-r": "Cohere Command R",
+    "cohere/Cohere-command-r-08-2024": "Cohere Command R 08-2024",
+    "cohere/Cohere-command-r-plus": "Cohere Command R+",
+    "cohere/Cohere-command-r-plus-08-2024": "Cohere Command R+ 08-2024",
+    "deepseek/DeepSeek-R1": "DeepSeek-R1",
+    "deepseek/DeepSeek-V3-0324": "DeepSeek-V3-0324",
+    "meta/Llama-3.2-11B-Vision-Instruct": "Llama-3.2-11B-Vision-Instruct",
+    "meta/Llama-3.2-90B-Vision-Instruct": "Llama-3.2-90B-Vision-Instruct",
+    "meta/Llama-3.3-70B-Instruct": "Llama-3.3-70B-Instruct",
+    "meta/Llama-4-Maverick-17B-128E-Instruct-FP8": "Llama 4 Maverick 17B 128E Instruct FP8",
+    "meta/Llama-4-Scout-17B-16E-Instruct": "Llama 4 Scout 17B 16E Instruct",
+    "meta/Meta-Llama-3.1-405B-Instruct": "Meta-Llama-3.1-405B-Instruct",
+    "meta/Meta-Llama-3.1-70B-Instruct": "Meta-Llama-3.1-70B-Instruct",
+    "meta/Meta-Llama-3.1-8B-Instruct": "Meta-Llama-3.1-8B-Instruct",
+    "meta/Meta-Llama-3-70B-Instruct": "Meta-Llama-3-70B-Instruct",
+    "meta/Meta-Llama-3-8B-Instruct": "Meta-Llama-3-8B-Instruct",
+    "mistral-ai/Ministral-3B": "Ministral 3B",
+    "mistral-ai/Mistral-Large-2411": "Mistral Large 24.11",
+    "mistral-ai/Mistral-Nemo": "Mistral Nemo",
+    "mistral-ai/Mistral-large-2407": "Mistral Large (2407)",
+    "mistral-ai/Mistral-small": "Mistral Small",
+    "cohere/cohere-command-a": "Cohere Command A",
+    "core42/jais-30b-chat": "JAIS 30b Chat",
+    "mistral-ai/mistral-small-2503": "Mistral Small 3.1"
 }
 
+# In-memory chat history (chat_id: messages[])
+chat_histories = defaultdict(list)
 
-async def generate_ai_response(prompt: str, model: str):
-    # Configuration for unofficial GitHub AI endpoint
+# Function to generate response using chat history
+async def generate_ai_response(chat_id: str, model: str):
     token = os.getenv("GITHUB_TOKEN")
     if not token:
         raise HTTPException(status_code=500, detail="GitHub token not configured")
-    
+
     endpoint = "https://models.github.ai/inference"
-    
-    # Validate the model
+
     if model not in AVAILABLE_MODELS:
         raise HTTPException(status_code=400, detail=f"Model not available. Choose from: {', '.join(AVAILABLE_MODELS.keys())}")
 
@@ -71,10 +73,7 @@ async def generate_ai_response(prompt: str, model: str):
 
     try:
         stream = await client.chat.completions.create(
-            messages=[
-                
-                {"role": "user", "content": prompt}
-            ],
+            messages=chat_histories[chat_id],  # full chat history
             model=model,
             temperature=1.0,
             top_p=1.0,
@@ -83,24 +82,41 @@ async def generate_ai_response(prompt: str, model: str):
 
         async for chunk in stream:
             if chunk.choices and chunk.choices[0].delta.content:
-                yield chunk.choices[0].delta.content
+                content = chunk.choices[0].delta.content
+                yield content
+                # Add assistant reply to history
+                chat_histories[chat_id].append({"role": "assistant", "content": content})
 
     except Exception as err:
         yield f"Error: {str(err)}"
         raise HTTPException(status_code=500, detail="AI generation failed")
 
+# Endpoint to generate a response with chat memory
 @app.post("/generate")
 async def generate_response(
-    prompt: str = Query(..., description="The prompt for the AI"),
+    chat_id: str = Query(..., description="Unique ID for the chat session"),
+    prompt: str = Query(..., description="The user message"),
     model: str = Query("openai/gpt-4.1-mini", description="The model to use for generation")
 ):
     if not prompt:
         raise HTTPException(status_code=400, detail="Prompt cannot be empty")
-    
+
+    # Add user message to history
+    chat_histories[chat_id].append({"role": "user", "content": prompt})
+
     return StreamingResponse(
-        generate_ai_response(prompt, model),
+        generate_ai_response(chat_id, model),
         media_type="text/event-stream"
     )
 
+# Optional: endpoint to reset chat history
+@app.post("/reset")
+async def reset_chat(chat_id: str = Query(..., description="ID of chat to reset")):
+    if chat_id in chat_histories:
+        chat_histories[chat_id].clear()
+        return {"message": f"Chat {chat_id} history reset."}
+    else:
+        raise HTTPException(status_code=404, detail="Chat ID not found")
+
 def get_app():
-    return app
+    return app