a6dcb7756e
- Convert LiteLLM requests to streaming mode with stream_request() - Add streaming parser to handle live LLM output segments - Update TUI for real-time streaming content rendering - Add tracer methods for streaming content tracking - Clean function tags from streamed content to prevent display - Remove all truncation from tool renderers for full content visibility
32 lines
905 B
Python
32 lines
905 B
Python
from typing import Any, ClassVar
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from rich.text import Text
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from textual.widgets import Static
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from .base_renderer import BaseToolRenderer
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from .registry import register_tool_renderer
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@register_tool_renderer
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class ThinkRenderer(BaseToolRenderer):
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tool_name: ClassVar[str] = "think"
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css_classes: ClassVar[list[str]] = ["tool-call", "thinking-tool"]
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@classmethod
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def render(cls, tool_data: dict[str, Any]) -> Static:
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args = tool_data.get("args", {})
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thought = args.get("thought", "")
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text = Text()
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text.append("🧠 ")
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text.append("Thinking", style="bold #a855f7")
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text.append("\n ")
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if thought:
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text.append(thought, style="italic dim")
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else:
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text.append("Thinking...", style="italic dim")
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css_classes = cls.get_css_classes("completed")
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return Static(text, classes=css_classes)
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