Add more LLms, title generation prompt adjustment

backend/open_webui/config.py

@@ -1102,21 +1102,20 @@ TITLE_GENERATION_PROMPT_TEMPLATE = PersistentConfig(
 )
 
 DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE = """### Task:
-Generate a concise, 3-5 word title with an emoji summarizing the chat history.
+Generate a concise, 3-5 word title without any emojis (this is important) summarizing the chat history.
 ### Guidelines:
 - The title should clearly represent the main theme or subject of the conversation.
-- Use emojis that enhance understanding of the topic, but avoid quotation marks or special formatting.
-- Write the title in the chat's primary language; default to English if multilingual.
+- Write the title in the chat's primary language; default to German if multilingual.
 - Prioritize accuracy over excessive creativity; keep it clear and simple.
 ### Output:
 JSON format: { "title": "your concise title here" }
 ### Examples:
-- { "title": "📉 Stock Market Trends" },
-- { "title": "🍪 Perfect Chocolate Chip Recipe" },
+- { "title": "Stock Market Trends" },
+- { "title": "Perfect Chocolate Chip Recipe" },
 - { "title": "Evolution of Music Streaming" },
 - { "title": "Remote Work Productivity Tips" },
 - { "title": "Artificial Intelligence in Healthcare" },
-- { "title": "🎮 Video Game Development Insights" }
+- { "title": "Video Game Development Insights" }
 ### Chat History:
 <chat_history>
 {{MESSAGES:END:2}}

litellm-config.yaml

@@ -13,51 +13,152 @@ model_list:
     model_info:
       description: "OpenAI's most advanced model, ideal for complex tasks."
       arena_elo: 1287
-      knowledge_cutoff: "October 2023"
       context_window: 128000
-  - model_name: "GPT 3.5 Turbo"
+  - model_name: "GPT 4o-mini"
     litellm_params:
-      model: "azure/gpt-35-turbo"
+      model: "azure/gpt-4o-mini"
       api_base: os.environ/AZURE_OPENAI_API_BASE_URL
       api_key: os.environ/AZURE_OPENAI_API_KEY
       max_tokens: 800
     model_info:
-      description: "OpenAI's cheaper model for less complex tasks."
-      arena_elo: 1116
-      knowledge_cutoff: "September 2021"
-      context_window: 16000
-  - model_name: 'Gemini 1.5 Pro'
+      description: "OpenAI's most advanced model, ideal for complex tasks."
+      arena_elo: 1287
+      context_window: 128000
+  - model_name: "GPT o3-mini"
     litellm_params:
-      model: 'gemini-1.5-pro'
-      vertex_project: 'beyond-chat-1111'
-      vertex_location: 'europe-west3'
+      model: "azure/o3-mini"
+      api_base: os.environ/AZURE_OPENAI_API_BASE_URL
+      api_key: os.environ/AZURE_OPENAI_API_KEY
+      api_version: "2024-12-01-preview"
       max_tokens: 800
     model_info:
-      description: "Google's leading model with a very large context window."
+      description: "OpenAI's most advanced model, ideal for complex tasks."
+      arena_elo: 1287
+      context_window: 128000
+  - model_name: "GPT o1"
+    litellm_params:
+      model: "azure/o1"
+      api_base: os.environ/AZURE_OPENAI_API_BASE_URL
+      api_key: os.environ/AZURE_OPENAI_API_KEY
+      api_version: "2024-12-01-preview"
+      max_tokens: 800
+    model_info:
+      description: "OpenAI's most advanced model, ideal for complex tasks."
+      arena_elo: 1287
+      context_window: 128000
+  - model_name: 'Mistral Large 2'
+    litellm_params:
+      model: 'vertex_ai/mistral-large-2411@001'
+      vertex_project: 'beyond-chat-1111'
+      vertex_location: 'europe-west4'
+      max_tokens: 800
+    model_info:
+      description: "Mistral Large (24.11) is the latest version of the Mistral Large model now with improved reasoning and function calling capabilities."
       arena_elo: 1265
-      knowledge_cutoff: 'November 2023'
-      context_window: 2_000_000
-  - model_name: 'Gemini 1.5 Flash'
+      context_window: 2000000
+  - model_name: 'Gemini 2.0 Flash'
     litellm_params:
+      model: 'gemini-2.0-flash-001'
+      vertex_project: 'beyond-chat-1111'
+      vertex_location: 'europe-west4'
       max_tokens: 800
-      model: 'gemini-1.5-flash-001'
+    model_info:
+      description: "Workhorse model for all daily tasks. Strong overall performance and low latency supports real-time Live API."
+      arena_elo: 1265
+      context_window: 2000000
+  - model_name: 'Llama 3.1'
+    litellm_params:
+      model: 'vertex_ai/llama-3.1-405b-instruct-maas'
       vertex_project: 'beyond-chat-1111'
       vertex_location: 'europe-west3'
+      max_tokens: 800
     model_info:
-      description: 'Optimized for speed and efficiency.'
+      description: "Workhorse model for all daily tasks. Strong overall performance and low latency supports real-time Live API."
+      arena_elo: 1265
+      context_window: 2000000
+  - model_name: 'Gemini 2.0 Flash Thinking'
+    litellm_params:
+      max_tokens: 800
+      model: 'gemini-2.0-flash-thinking-exp-01-21'
+      vertex_project: 'beyond-chat-1111'
+      vertex_location: 'us-central1'
+    model_info:
+      description: 'An experimental model that exposes its thoughts so you can see its reasoning and how it reached its conclusions.'
       arena_elo: 1231
-      knowledge_cutoff: 'November 2023'
-      context_window: 1_000_000
-  - model_name: 'Claude 3.5 Sonnet v2'
+      context_window: 1000000
+  - model_name: 'Claude 3.5 Haiku'
+    litellm_params:
+      model: 'vertex_ai/claude-3-5-haiku@20241022'
+      vertex_project: 'beyond-chat-1111'
+      vertex_location: 'us-east5'
+    model_info:
+      description: 'Claude 3.5 Haiku, Anthropic’s fastest and most cost-effective model, excels at use cases like code and test case generation, sub-agents, and user-facing chatbots.'
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Claude 3.5 Sonnet'
     litellm_params:
       model: 'vertex_ai/claude-3-5-sonnet-v2@20241022'
       vertex_project: 'beyond-chat-1111'
       vertex_location: 'europe-west1'
     model_info:
-      description: 'Lightning-fast responses for simple queries.'
+      description: 'The upgraded Claude 3.5 Sonnet is now state-of-the-art for a variety of tasks including real-world software engineering, enhanced agentic capabilities, and computer use.'
       arena_elo: 1178
-      knowledge_cutoff: 'February 2024'
-      context_window: 200_000
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Claude 3.7 Sonnet'
+    litellm_params:
+      model: 'anthropic/claude-3-7-sonnet-20250219'
+      api_key: os.environ/ANTHROPIC_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Pixtral Large'
+    litellm_params:
+      model: 'mistral/pixtral-large-2411'
+      api_key: os.environ/MISTRAL_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Perplexity Sonar'
+    litellm_params:
+      model: 'perplexity/sonar'
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Perplexity Sonar Pro'
+    litellm_params:
+      model: 'perplexity/sonar-pro'
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Perplexity Sonar Reasoning Pro'
+    litellm_params:
+      model: 'perplexity/sonar-reasoning-pro'
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
+      max_tokens: 800
+  - model_name: 'Perplexity Sonar Deep Research'
+    litellm_params:
+      model: 'perplexity/sonar-deep-research'
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+    model_info:
+      description: ''
+      arena_elo: 1178
+      context_window: 200000
       max_tokens: 800
 
 general_settings: {}