add command-r

app.py

@@ -925,7 +925,7 @@ with gr.Blocks(js=clickable_links_js) as app:
 
         def guardrail_check_se_relevance(user_input):
             """
-            Use gpt-oss-20b to check if the user input is SE-related.
+            Use gpt-oss-safeguard-20b to check if the user input is SE-related.
             Return True if it is SE-related, otherwise False.
             """
             # Example instructions for classification — adjust to your needs
@@ -942,7 +942,7 @@ with gr.Blocks(js=clickable_links_js) as app:
             try:
                 # Make the chat completion call
                 response = openai_client.chat.completions.create(
-                    model="gpt-oss-20b", messages=[system_message, user_message]
+                    model="gpt-oss-safeguard-20b", messages=[system_message, user_message]
                 )
                 classification = response.choices[0].message.content.strip().lower()
                 # Check if the LLM responded with 'Yes'

model_metadata.jsonl

@@ -9,6 +9,8 @@
 {"model_name": "claude-opus-4-1-20250805", "context_window": 200000, "link": "https://www.anthropic.com/news/claude-opus-4-1"}
 {"model_name": "claude-sonnet-4-5-20250929", "context_window": 200000, "link": "https://www.anthropic.com/news/claude-sonnet-4-5"}
 {"model_name": "claude-haiku-4-5-20251001", "context_window": 200000, "link": "https://www.anthropic.com/news/claude-haiku-4-5"}
+{"model_name": "command-r", "context_window": 128000, "link": "https://cohere.com/command-r"}
+{"model_name": "command-r-plus", "context_window": 128000, "link": "https://cohere.com/command-r"}
 {"model_name": "doubao-1-5-pro-256k-250115", "context_window": 256000, "link": "https://seed.bytedance.com"}
 {"model_name": "doubao-1-5-thinking-pro-250415", "context_window": 256000, "link": "https://seed.bytedance.com"}
 {"model_name": "doubao-seed-1-6-250615", "context_window": 256000, "link": "https://seed.bytedance.com"}
@@ -23,16 +25,17 @@
 {"model_name": "gemma-3-27b-it", "context_window": 128000, "link": "https://ai.google.dev/gemma"}
 {"model_name": "gpt-3.5-turbo", "context_window": 16000, "link": "https://openai.com"}
 {"model_name": "gpt-4-turbo", "context_window": 128000, "link": "https://openai.com/index/gpt-4"}
-{"model_name": "gpt-4o", "context_window": 128000, "link": "https://openai.com"}
-{"model_name": "gpt-4o-mini", "context_window": 128000, "link": "https://openai.com"}
+{"model_name": "gpt-4o", "context_window": 128000, "link": "https://openai.com/index/hello-gpt-4o"}
+{"model_name": "gpt-4o-mini", "context_window": 128000, "link": "https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence"}
 {"model_name": "gpt-4.1", "context_window": 1000000, "link": "https://openai.com/index/gpt-4-1"}
 {"model_name": "gpt-4.1-mini", "context_window": 1000000, "link": "https://openai.com/index/gpt-4-1"}
 {"model_name": "gpt-5", "context_window": 400000, "link": "https://openai.com/gpt-5"}
 {"model_name": "gpt-5-chat-latest", "context_window": 400000, "link": "https://openai.com/gpt-5"}
 {"model_name": "gpt-5-mini", "context_window": 400000, "link": "https://openai.com/gpt-5"}
 {"model_name": "gpt-5-nano", "context_window": 400000, "link": "https://openai.com/gpt-5"}
-{"model_name": "gpt-oss-120b", "context_window": 128000, "link": "https://openai.com"}
-{"model_name": "gpt-oss-20b", "context_window": 128000, "link": "https://openai.com"}
+{"model_name": "gpt-oss-120b", "context_window": 128000, "link": "https://openai.com/index/introducing-gpt-oss"}
+{"model_name": "gpt-oss-20b", "context_window": 131072, "link": "https://openai.com/index/introducing-gpt-oss"}
+{"model_name": "gpt-oss-safeguard-20b", "context_window": 128000, "link": "https://openai.com/index/introducing-gpt-oss-safeguard"}
 {"model_name": "grok-3-fast-beta", "context_window": 1000000, "link": "https://x.ai/news/grok-3"}
 {"model_name": "grok-3-beta", "context_window": 1000000, "link": "https://x.ai/news/grok-3"}
 {"model_name": "grok-3-mini-fast-beta", "context_window": 1000000, "link": "https://x.ai/news/grok-3"}
@@ -47,6 +50,8 @@
 {"model_name": "o3", "context_window": 200000, "link": "https://openai.com/index/introducing-o3-and-o4-mini"}
 {"model_name": "o3-mini", "context_window": 200000, "link": "https://openai.com/index/introducing-o3-and-o4-mini"}
 {"model_name": "o4-mini", "context_window": 200000, "link": "https://openai.com/index/introducing-o3-and-o4-mini"}
-{"model_name": "qwen3-30b-a3b", "context_window": 32768, "link": "https://qwen-3.com"}
+{"model_name": "qwen3-8b", "context_window": 32768, "link": "https://qwen-3.com"}
+{"model_name": "qwen3-14b", "context_window": 32768, "link": "https://qwen-3.com"}
 {"model_name": "qwen3-32b", "context_window": 32768, "link": "https://qwen-3.com"}
-{"model_name": "qwen3-235b-a22b", "context_window": 32768, "link": "https://qwen-3.com"}
+{"model_name": "qwen3-coder-plus", "context_window": 128000, "link": "https://qwen-3.com"}
+{"model_name": "qwen-max", "context_window": 262144, "link": "https://qwen-3.com"}