254 lines
8.5 KiB
Python
Executable File
254 lines
8.5 KiB
Python
Executable File
#!/usr/bin/env python3
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# /// script
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# requires-python = ">=3.11"
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# dependencies = [
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# "rich>=13.7.0",
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# "openai>=1.0.0",
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# ]
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# ///
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"""
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Terminal chat interface for go-llm-gateway.
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Usage:
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python chat.py
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python chat.py --url http://localhost:8080
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python chat.py --model gemini-2.0-flash-exp
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python chat.py --token $(gcloud auth print-identity-token)
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"""
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import argparse
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import sys
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from typing import Optional
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from openai import OpenAI, APIStatusError
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from rich.console import Console
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from rich.live import Live
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from rich.markdown import Markdown
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from rich.panel import Panel
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from rich.prompt import Prompt
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from rich.table import Table
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class ChatClient:
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def __init__(self, base_url: str, token: Optional[str] = None):
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self.base_url = base_url.rstrip("/")
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self.client = OpenAI(
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base_url=f"{self.base_url}/v1",
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api_key=token or "no-key",
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)
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self.messages = []
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self.console = Console()
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def chat(self, user_message: str, model: str, stream: bool = True):
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"""Send a chat message and get response."""
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# Add user message to history
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self.messages.append({
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"role": "user",
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"content": [{"type": "input_text", "text": user_message}]
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})
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if stream:
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return self._stream_response(model)
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else:
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return self._sync_response(model)
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def _sync_response(self, model: str) -> str:
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"""Non-streaming response."""
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with self.console.status(f"[bold blue]Thinking ({model})..."):
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response = self.client.responses.create(
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model=model,
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input=self.messages,
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)
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assistant_text = response.output_text
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# Add to history
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self.messages.append({
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"role": "assistant",
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"content": [{"type": "output_text", "text": assistant_text}]
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})
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return assistant_text
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def _stream_response(self, model: str) -> str:
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"""Streaming response with live rendering."""
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assistant_text = ""
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with Live(console=self.console, refresh_per_second=10) as live:
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stream = self.client.responses.create(
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model=model,
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input=self.messages,
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stream=True,
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)
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for event in stream:
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if event.type == "response.output_text.delta":
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assistant_text += event.delta
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live.update(Markdown(assistant_text))
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# Add to history
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self.messages.append({
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"role": "assistant",
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"content": [{"type": "output_text", "text": assistant_text}]
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})
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return assistant_text
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def clear_history(self):
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"""Clear conversation history."""
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self.messages = []
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def print_models_table(client: OpenAI):
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"""Fetch and print available models from the gateway."""
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console = Console()
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try:
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models = client.models.list()
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except Exception as e:
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console.print(f"[red]Failed to fetch models: {e}[/red]")
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return
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table = Table(title="Available Models", show_header=True, header_style="bold magenta")
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table.add_column("Owner", style="cyan")
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table.add_column("Model ID", style="green")
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for model in models:
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table.add_row(model.owned_by, model.id)
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console.print(table)
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def main():
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parser = argparse.ArgumentParser(description="Chat with go-llm-gateway")
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parser.add_argument("--url", default="http://localhost:8080", help="Gateway URL")
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parser.add_argument("--model", default=None, help="Model to use (defaults to first available)")
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parser.add_argument("--token", help="Auth token (Bearer)")
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parser.add_argument("--no-stream", action="store_true", help="Disable streaming")
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args = parser.parse_args()
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console = Console()
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client = ChatClient(args.url, args.token)
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# Fetch available models and select default
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try:
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available_models = list(client.client.models.list())
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except Exception as e:
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console.print(f"[bold red]Failed to connect to gateway:[/bold red] {e}")
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sys.exit(1)
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if not available_models:
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console.print("[bold red]Error:[/bold red] No models are configured on the gateway.")
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sys.exit(1)
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if args.model:
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current_model = args.model
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else:
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current_model = available_models[0].id
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stream_enabled = not args.no_stream
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# Welcome banner
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console.print(Panel.fit(
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"[bold cyan]go-llm-gateway Chat Interface[/bold cyan]\n"
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f"Connected to: [green]{args.url}[/green]\n"
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f"Model: [yellow]{current_model}[/yellow]\n"
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f"Streaming: [{'green' if stream_enabled else 'red'}]{stream_enabled}[/]\n\n"
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"Commands:\n"
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" [bold]/model <name>[/bold] - Switch model\n"
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" [bold]/models[/bold] - List available models\n"
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" [bold]/stream[/bold] - Toggle streaming\n"
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" [bold]/clear[/bold] - Clear conversation\n"
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" [bold]/quit[/bold] or [bold]/exit[/bold] - Exit\n"
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" [bold]/help[/bold] - Show this help",
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title="Welcome",
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border_style="cyan"
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))
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# Model aliases
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model_aliases = {
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"gpt4": "gpt-4o",
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"gpt4-mini": "gpt-4o-mini",
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"o1": "o1",
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"claude": "claude-3-5-sonnet-20241022",
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"haiku": "claude-3-5-haiku-20241022",
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"gemini": "gemini-2.0-flash-exp",
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"gemini-pro": "gemini-1.5-pro"
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}
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while True:
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try:
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user_input = Prompt.ask("\n[bold blue]You[/bold blue]")
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if not user_input.strip():
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continue
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# Handle commands
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if user_input.startswith("/"):
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cmd_parts = user_input.split(maxsplit=1)
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cmd = cmd_parts[0].lower()
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if cmd in ["/quit", "/exit"]:
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console.print("[yellow]Goodbye! 👋[/yellow]")
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break
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elif cmd == "/help":
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console.print(Panel(
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"[bold]Commands:[/bold]\n"
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" /model <name> - Switch model\n"
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" /models - List available models\n"
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" /stream - Toggle streaming\n"
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" /clear - Clear conversation\n"
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" /quit - Exit",
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title="Help",
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border_style="cyan"
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))
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elif cmd == "/models":
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print_models_table(client.client)
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elif cmd == "/model":
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if len(cmd_parts) < 2:
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console.print("[red]Usage: /model <model-name>[/red]")
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continue
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new_model = cmd_parts[1]
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# Check if it's an alias
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new_model = model_aliases.get(new_model, new_model)
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current_model = new_model
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console.print(f"[green]Switched to model: {current_model}[/green]")
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elif cmd == "/stream":
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stream_enabled = not stream_enabled
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console.print(f"[green]Streaming {'enabled' if stream_enabled else 'disabled'}[/green]")
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elif cmd == "/clear":
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client.clear_history()
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console.print("[green]Conversation history cleared[/green]")
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else:
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console.print(f"[red]Unknown command: {cmd}[/red]")
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continue
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# Send message to LLM
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try:
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console.print(f"\n[bold green]Assistant ({current_model})[/bold green]")
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response = client.chat(user_input, current_model, stream=stream_enabled)
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if not stream_enabled:
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# For non-streaming, render markdown
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console.print(Markdown(response))
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except APIStatusError as e:
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console.print(f"[bold red]Error {e.status_code}:[/bold red] {e.message}")
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except Exception as e:
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console.print(f"[bold red]Error:[/bold red] {e}")
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except KeyboardInterrupt:
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console.print("\n[yellow]Use /quit to exit[/yellow]")
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except EOFError:
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break
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if __name__ == "__main__":
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main()
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