mirror of
https://github.com/langchain-ai/deepagents.git
synced 2026-07-15 11:55:45 -04:00
vivek
791897c594
- Create examples/README.md as landing page for all examples - Add deep_research example from quickstarts repo - Update main README to link to examples/ instead of quickstarts repo
95 lines
3.3 KiB
Python
95 lines
3.3 KiB
Python
"""Utility functions for displaying messages and prompts in Jupyter notebooks."""
|
|
|
|
import json
|
|
|
|
from rich.console import Console
|
|
from rich.panel import Panel
|
|
from rich.text import Text
|
|
|
|
console = Console()
|
|
|
|
|
|
def format_message_content(message):
|
|
"""Convert message content to displayable string."""
|
|
parts = []
|
|
tool_calls_processed = False
|
|
|
|
# Handle main content
|
|
if isinstance(message.content, str):
|
|
parts.append(message.content)
|
|
elif isinstance(message.content, list):
|
|
# Handle complex content like tool calls (Anthropic format)
|
|
for item in message.content:
|
|
if item.get("type") == "text":
|
|
parts.append(item["text"])
|
|
elif item.get("type") == "tool_use":
|
|
parts.append(f"\n🔧 Tool Call: {item['name']}")
|
|
parts.append(f" Args: {json.dumps(item['input'], indent=2)}")
|
|
parts.append(f" ID: {item.get('id', 'N/A')}")
|
|
tool_calls_processed = True
|
|
else:
|
|
parts.append(str(message.content))
|
|
|
|
# Handle tool calls attached to the message (OpenAI format) - only if not already processed
|
|
if (
|
|
not tool_calls_processed
|
|
and hasattr(message, "tool_calls")
|
|
and message.tool_calls
|
|
):
|
|
for tool_call in message.tool_calls:
|
|
parts.append(f"\n🔧 Tool Call: {tool_call['name']}")
|
|
parts.append(f" Args: {json.dumps(tool_call['args'], indent=2)}")
|
|
parts.append(f" ID: {tool_call['id']}")
|
|
|
|
return "\n".join(parts)
|
|
|
|
|
|
def format_messages(messages):
|
|
"""Format and display a list of messages with Rich formatting."""
|
|
for m in messages:
|
|
msg_type = m.__class__.__name__.replace("Message", "")
|
|
content = format_message_content(m)
|
|
|
|
if msg_type == "Human":
|
|
console.print(Panel(content, title="🧑 Human", border_style="blue"))
|
|
elif msg_type == "Ai":
|
|
console.print(Panel(content, title="🤖 Assistant", border_style="green"))
|
|
elif msg_type == "Tool":
|
|
console.print(Panel(content, title="🔧 Tool Output", border_style="yellow"))
|
|
else:
|
|
console.print(Panel(content, title=f"📝 {msg_type}", border_style="white"))
|
|
|
|
|
|
def format_message(messages):
|
|
"""Alias for format_messages for backward compatibility."""
|
|
return format_messages(messages)
|
|
|
|
|
|
def show_prompt(prompt_text: str, title: str = "Prompt", border_style: str = "blue"):
|
|
"""Display a prompt with rich formatting and XML tag highlighting.
|
|
|
|
Args:
|
|
prompt_text: The prompt string to display
|
|
title: Title for the panel (default: "Prompt")
|
|
border_style: Border color style (default: "blue")
|
|
"""
|
|
# Create a formatted display of the prompt
|
|
formatted_text = Text(prompt_text)
|
|
formatted_text.highlight_regex(r"<[^>]+>", style="bold blue") # Highlight XML tags
|
|
formatted_text.highlight_regex(
|
|
r"##[^#\n]+", style="bold magenta"
|
|
) # Highlight headers
|
|
formatted_text.highlight_regex(
|
|
r"###[^#\n]+", style="bold cyan"
|
|
) # Highlight sub-headers
|
|
|
|
# Display in a panel for better presentation
|
|
console.print(
|
|
Panel(
|
|
formatted_text,
|
|
title=f"[bold green]{title}[/bold green]",
|
|
border_style=border_style,
|
|
padding=(1, 2),
|
|
)
|
|
)
|