alex
757140ec70
Implement a full chat-based travel agent using LiteLLM for multi-provider LLM support (OpenAI, Anthropic, Gemini, Ollama, Groq, Mistral, etc.). Backend: - New 'chat' Django app with ChatConversation and ChatMessage models - Streaming SSE endpoint via StreamingHttpResponse - 5 agent tools: search_places, list_trips, get_trip_details, add_to_itinerary, get_weather - LiteLLM client wrapper with per-user API key retrieval - System prompt with user preference context injection Frontend: - New /chat route with full-page chat UI (DaisyUI + Tailwind) - Collapsible conversation sidebar with CRUD - SSE streaming response display with tool call visualization - Provider selector dropdown - SSE proxy fix to stream text/event-stream without buffering - Navbar link and i18n keys
18 lines
579 B
Python
18 lines
579 B
Python
from django.contrib import admin
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from .models import ChatConversation, ChatMessage
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@admin.register(ChatConversation)
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class ChatConversationAdmin(admin.ModelAdmin):
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list_display = ("id", "user", "title", "updated_at", "created_at")
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search_fields = ("title", "user__username")
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list_filter = ("created_at", "updated_at")
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@admin.register(ChatMessage)
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class ChatMessageAdmin(admin.ModelAdmin):
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list_display = ("id", "conversation", "role", "name", "created_at")
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search_fields = ("conversation__id", "content", "name")
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list_filter = ("role", "created_at")
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