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User Chats Endpoint

Overview

This endpoint manages chat conversations for a specific user, supporting creation, deletion, and retrieval of chats.

Request Details

HTTP Methods

  • GET: Retrieve all chats
  • POST: Create a new chat
  • DELETE: Delete one or more chats

Route

/api/users/[user_id]/chats

Route Parameters

ParameterTypeRequiredDescription
user_idstringYesUnique identifier of the user

Headers

HeaderValueRequiredDescription
Content-Typeapplication/jsonYes*Required for POST and DELETE methods
Cookieneptun-sessionYesSession authentication cookie

Query Parameters

ParameterTypeRequiredDescription
order_bystringNoSort order for chats (e.g., "created_at:desc")

Request Body

POST Method

FieldTypeRequiredDescriptionConstraints
modelstringYesAI model for the chatNon-empty string
namestringYesName of the chat conversationNon-empty string

DELETE Method

FieldTypeRequiredDescription
chat_idsnumber[]YesArray of chat IDs to delete

Response Format

GET Success Response (200 OK)

{
"chats": [
{
"id": 1,
"neptun_user_id": "user123",
"model": "gpt-3.5",
"name": "Project Discussion",
"created_at": "2024-03-20T10:00:00Z"
}
]
}

POST Success Response (200 OK)

{
"chat": {
"id": 1,
"neptun_user_id": "user123",
"model": "gpt-3.5",
"name": "New Chat",
"created_at": "2024-03-20T10:00:00Z"
}
}

DELETE Success Response (200 OK)

Returns true if deletion was successful.

true

Error Response (400 Bad Request)

{
"statusCode": 400,
"statusMessage": "Bad Request. Invalid body(model, name).",
"data": {
"issues": [
{
"code": "invalid_type",
"message": "Required"
}
]
}
}

TypeScript Interfaces

interface ChatConversation {
id: number
neptun_user_id: string
model: string
name: string
created_at: string
}

interface CreateChatRequest {
model: string
name: string
}

interface DeleteChatsRequest {
chat_ids: number[]
}

interface GetChatsResponse {
chats: ChatConversation[]
}

interface CreateChatResponse {
chat: ChatConversation
}

Python Models

from pydantic import BaseModel
from typing import List
from datetime import datetime

class ChatConversation(BaseModel):
id: int
neptun_user_id: str
model: str
name: str
created_at: datetime

class CreateChatRequest(BaseModel):
model: str
name: str

class DeleteChatsRequest(BaseModel):
chat_ids: List[int]

class GetChatsResponse(BaseModel):
chats: List[ChatConversation]

class CreateChatResponse(BaseModel):
chat: ChatConversation

Code Examples

Python Example (using httpx)

from pydantic import BaseModel
import httpx
from typing import List, Optional
from datetime import datetime

# ... (Previous model definitions) ...

async def get_user_chats(
user_id: str,
session_cookie: str,
order_by: Optional[str] = None
) -> GetChatsResponse:
async with httpx.AsyncClient() as client:
params = {"order_by": order_by} if order_by else None
response = await client.get(
f"https://neptun-webui.vercel.app/api/users/{user_id}/chats",
params=params,
cookies={"neptun-session": session_cookie}
)
response.raise_for_status()
return GetChatsResponse(**response.json())

async def create_chat(
user_id: str,
session_cookie: str,
model: str,
name: str
) -> CreateChatResponse:
async with httpx.AsyncClient() as client:
response = await client.post(
f"https://neptun-webui.vercel.app/api/users/{user_id}/chats",
json={"model": model, "name": name},
cookies={"neptun-session": session_cookie}
)
response.raise_for_status()
return CreateChatResponse(**response.json())

async def delete_chats(
user_id: str,
session_cookie: str,
chat_ids: List[int]
) -> bool:
async with httpx.AsyncClient() as client:
response = await client.delete(
f"https://neptun-webui.vercel.app/api/users/{user_id}/chats",
json={"chat_ids": chat_ids},
cookies={"neptun-session": session_cookie}
)
response.raise_for_status()
return response.json()

Response Status Codes

Status CodeDescription
200Request successful
400Invalid request body or parameters
401Unauthorized (invalid or missing session)
404User not found
500Server error

Notes

  • The session cookie is required for all operations
  • The order_by parameter accepts values like "created_at:desc" or "created_at:asc"
  • Chat IDs must be valid and belong to the specified user for deletion
  • The model field should match one of the supported AI models