Lzy01241010 Claude Opus 4.7 commited on
Commit
90721a6
Β·
1 Parent(s): 1a0445f

ui: rename Long-form example to Research Report; hyphenate memory labels

Browse files

- "Long-form research report" example -> "Research Report"
- Memory radio labels and help text use hyphens (discard-all, hide-tool-result) for readability; internal values stay underscored to match MEMORY_STRATEGIES

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -1823,7 +1823,7 @@ EXAMPLES = [
1823
  "text": "Find a 2-day itinerary in Tokyo under $250 focused on contemporary art museums and vegetarian restaurants, including transit between sites.",
1824
  },
1825
  {
1826
- "category": "Long-form research report",
1827
  "icon": "πŸ“š",
1828
  "text": "Compare the LLM-safety research approaches of Anthropic, OpenAI, and Google DeepMind over the past 18 months, focusing on alignment techniques and red-teaming methodologies.",
1829
  },
@@ -1916,8 +1916,8 @@ with gr.Blocks(
1916
  choices=[
1917
  ("condenser (default)", "condenser"),
1918
  ("vanilla", "vanilla"),
1919
- ("discard_all", "discard_all"),
1920
- ("hide_tool_result", "hide_tool_result"),
1921
  ],
1922
  value="condenser",
1923
  elem_id="quest-memory-strategy",
@@ -1926,8 +1926,8 @@ with gr.Blocks(
1926
  '<div class="memory-help">'
1927
  '<b>condenser</b> (default) β€” when context grows large, a State Summarizer LLM compresses earlier turns into a structured JSON of trusted/untrusted/uncertain claims, visited sources, and prior search queries; the agent continues with that compact state.<br>'
1928
  '<b>vanilla</b> β€” memory management disabled; the full conversation history is kept.<br>'
1929
- '<b>discard_all</b> β€” when context grows large, the entire message history is reset, restarting the agent from the original question with no accumulated context.<br>'
1930
- '<b>hide_tool_result</b> β€” when context grows large, older tool responses are pruned; only the most recent tool result is kept.'
1931
  '</div>'
1932
  )
1933
  max_turns = gr.Slider(
 
1823
  "text": "Find a 2-day itinerary in Tokyo under $250 focused on contemporary art museums and vegetarian restaurants, including transit between sites.",
1824
  },
1825
  {
1826
+ "category": "Research Report",
1827
  "icon": "πŸ“š",
1828
  "text": "Compare the LLM-safety research approaches of Anthropic, OpenAI, and Google DeepMind over the past 18 months, focusing on alignment techniques and red-teaming methodologies.",
1829
  },
 
1916
  choices=[
1917
  ("condenser (default)", "condenser"),
1918
  ("vanilla", "vanilla"),
1919
+ ("discard-all", "discard_all"),
1920
+ ("hide-tool-result", "hide_tool_result"),
1921
  ],
1922
  value="condenser",
1923
  elem_id="quest-memory-strategy",
 
1926
  '<div class="memory-help">'
1927
  '<b>condenser</b> (default) β€” when context grows large, a State Summarizer LLM compresses earlier turns into a structured JSON of trusted/untrusted/uncertain claims, visited sources, and prior search queries; the agent continues with that compact state.<br>'
1928
  '<b>vanilla</b> β€” memory management disabled; the full conversation history is kept.<br>'
1929
+ '<b>discard-all</b> β€” when context grows large, the entire message history is reset, restarting the agent from the original question with no accumulated context.<br>'
1930
+ '<b>hide-tool-result</b> β€” when context grows large, older tool responses are pruned; only the most recent tool result is kept.'
1931
  '</div>'
1932
  )
1933
  max_turns = gr.Slider(