Update librechat.yaml to replace 'bifrost' with 'litellm' and adjust model references accordingly

librechat.yaml

@@ -276,34 +276,24 @@ endpoints:
   #   # (optional) Agent Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
     capabilities: ["execute_code", "file_search", "actions", "tools", "web_search", "ocr", "artifacts", "chain", "context"]
     allowedProviders:
-      - bifrost
+      - litellm
   custom:
     # Groq Example
-    - name: 'bifrost'
-      apiKey: 'dummy'
-      baseURL: 'http://bifrost.lab/v1'
-      headers:
-        x-bf-cache-key: "{{LIBRECHAT_BODY_CONVERSATIONID}}"
-        x-bf-cache-ttl: 30s
-        x-bf-cache-threshold: 0.9
+    - name: 'litellm'
+      apiKey: 'sk-1234'
+      baseURL: 'http://llm.lab'
       models:
         default:
-          - 'fireworks_ai/accounts/fireworks/models/qwen3-vl-235b-a22b-thinking'
-          - 'anthropic/claude-haiku-4-5-20251001'
-          - 'fireworks_ai/accounts/fireworks/models/minimax-m2'
-          - 'fireworks_ai/accounts/fireworks/models/deepseek-v3p2'
-          - 'gemini/gemini-3-pro-preview'
-          - 'gemini/gemini-2.5-flash-lite'
-          - 'gemini/gemini-2.5-flash'
-          - 'openai/gpt-5.1'
+          - 'qwen3-vl-235b-a22b-thinking'
+          - 'qwen3-vl-235b-a22b-instruct'
         fetch: true
       titleConvo: true
-      titleModel: 'fireworks_ai/accounts/fireworks/models/qwen3-30b-a3b'
+      titleModel: 'qwen3-30b-a3b-instruct'
       modelDisplayLabel: 'LLM'
       # Summarize setting: Set to true to enable summarization.
       summarize: true
       # Summary Model: Specify the model to use if summarization is enabled.
-      summaryModel: "fireworks_ai/accounts/fireworks/models/qwen3-30b-a3b"  # Defaults to "gpt-3.5-turbo" if omitted.
+      summaryModel: "qwen3-30b-a3b-instruct"  # Defaults to "gpt-3.5-turbo" if omitted.
       # Force Prompt setting: If true, sends a `prompt` parameter instead of `messages`.
       forcePrompt: false
       dropParams: ['stop', 'user', 'frequency_penalty', 'presence_penalty']