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customize-response-style

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Guide for customizing OhMyCode's terminal output style and rendering. Use when user wants to change colors, formatting, or how responses look in the terminal.

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Source SKILL.md: https://github.com/AlphaLab-USTC/OhMyCode/blob/HEAD/.claude/skills/customize-response-style/SKILL.md

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Customize OhMyCode's Response Style

Change how OhMyCode renders output in the terminal — colors, formatting, tool call display, token usage display.

When to Use

  • User says "change the colors", "make output cleaner", "customize the theme"
  • User wants to modify how tool calls, errors, or streaming text are displayed
  • User wants to add/remove elements from the output (e.g., hide token counts)

Where Rendering Happens

All rendering logic is in ohmycode/cli.py → render_stream() function. It consumes events from the conversation loop and prints them using rich.console.Console.

Current rendering:

EventCurrent Style
TextChunkPlain text, streamed character by character
ToolCallStart▶ <tool_name> in cyan + params in dim
ToolCallResult (success)✓ + green output (truncated to 500 chars)
ToolCallResult (error)✗ + red error message
TurnCompleteTokens: prompt=X completion=Y total=Z in dim

How to Customize

Option 1: Edit render_stream() Directly

Open ohmycode/cli.py and find async def render_stream(). Modify the rich markup:

# Change tool call header color from cyan to blue
console.print(f"\n[blue]▶ {event.tool_name}[/blue]", highlight=False)

# Add a box around tool results
from rich.panel import Panel
console.print(Panel(output, title="Tool Result", border_style="green"))

# Hide token usage
# Comment out or delete the TurnComplete rendering block

Option 2: Add Rich Themes

Create a custom theme at the top of cli.py:

from rich.theme import Theme

ohmycode_theme = Theme({
    "tool.name": "bold magenta",
    "tool.success": "green",
    "tool.error": "bold red",
    "tool.params": "dim italic",
    "status": "dim cyan",
    "prompt": "bold yellow",
})

console = Console(theme=ohmycode_theme)

Then use style names in print calls:

console.print(f"▶ {event.tool_name}", style="tool.name")

Option 3: Add Markdown Rendering for AI Responses

Replace plain text streaming with rich Markdown rendering:

from rich.markdown import Markdown

# In render_stream(), after collecting all TextChunks for a turn:
if collected_text:
    console.print(Markdown(collected_text))

Trade-off: Markdown rendering requires buffering the full response (no streaming feel). A hybrid approach: stream plain text, then re-render as Markdown after the turn completes.

Option 4: Customize the REPL Prompt

In run_repl(), change the prompt appearance:

# Simple change
user_input = session.prompt("ohmycode> ")

# With color (prompt_toolkit style)
from prompt_toolkit.formatted_text import HTML
user_input = session.prompt(HTML("<ansigreen>ohmycode</ansigreen><ansiyellow>></ansiyellow> "))

# With model name
user_input = session.prompt(f"[{config.model}]> ")

Customization Ideas

ChangeWhereDifficulty
Change colorsrender_stream() rich markupEasy
Add panels/borders around tool resultsrender_stream() + rich.PanelEasy
Show full tool params (not truncated)render_stream() truncation logicEasy
Hide token usagerender_stream() TurnComplete blockEasy
Add timestamps to outputrender_stream()Easy
Markdown renderingrender_stream() + rich.MarkdownMedium
Custom REPL promptrun_repl() prompt_toolkit configMedium
Add spinner during tool executionrender_stream() + rich.StatusMedium
Progress bar for long operationsrender_stream() + rich.ProgressMedium
Split-pane layout (output + status)rich.LayoutHard

Testing Changes

After modifying cli.py:

  1. Quick visual test: ohmycode -p "List python files here" --mode auto
  2. Test tool calls: ohmycode -p "Read pyproject.toml" --mode auto
  3. Test errors: ohmycode -p "Read /nonexistent/file" --mode auto
  4. Test REPL: ohmycode → type a message → /exit

Tips

  • Use rich documentation: https://rich.readthedocs.io/
  • Preview colors: python3 -c "from rich import print; print('[bold red]Red[/bold red] [green]Green[/green]')"
  • Keep changes in render_stream() — don't modify core/loop.py for display concerns
  • The REPL prompt uses prompt_toolkit, not rich — they have different styling systems