curo1305
30cda28ec8
litellm requires the api_key field even for local OpenAI-compatible servers (LM Studio, llama.cpp). Use "local" as a sentinel value for providers that don't require a real key. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
140 lines
4.3 KiB
Python
140 lines
4.3 KiB
Python
import httpx
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import questionary
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from rich.console import Console
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from rich.panel import Panel
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from rich.text import Text
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from pyra.config.manager import save_config
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from pyra.config.schema import ProviderConfig, PyraConfig
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from pyra.setup.providers import PROVIDERS, Provider, get_provider
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console = Console()
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def run_setup() -> None:
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console.print(Panel(
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Text("Welcome to Pyra Setup", justify="center", style="bold cyan"),
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subtitle="Personal AI Assistant",
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border_style="cyan",
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))
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console.print()
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provider = _choose_provider()
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model = _choose_model(provider)
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if provider.requires_key:
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_collect_api_key(provider)
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_test_connection(provider, model)
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cfg = PyraConfig(
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ai=ProviderConfig(
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provider_id=provider.id,
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model=model,
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base_url=provider.base_url,
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)
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)
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save_config(cfg)
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console.print()
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console.print(Panel(
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f"[green]Setup complete![/green]\n\n"
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f"Provider: [bold]{provider.display_name}[/bold]\n"
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f"Model: [bold]{model}[/bold]\n\n"
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"Run [bold cyan]pyra chat[/bold cyan] to start talking.",
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border_style="green",
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))
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def _choose_provider() -> Provider:
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local = [p for p in PROVIDERS if p.group == "Local"]
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cloud = [p for p in PROVIDERS if p.group == "Cloud"]
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choices = (
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[questionary.Choice("── Local ──────────────────", disabled=True)]
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+ [questionary.Choice(p.display_name, value=p.id) for p in local]
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+ [questionary.Choice("── Cloud ──────────────────", disabled=True)]
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+ [questionary.Choice(p.display_name, value=p.id) for p in cloud]
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)
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provider_id = questionary.select(
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"Choose your AI provider:",
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choices=choices,
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).ask()
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if provider_id is None:
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raise SystemExit(0)
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provider = get_provider(provider_id)
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if provider.connectivity_check:
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_check_local_server(provider)
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return provider
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def _check_local_server(provider: Provider) -> None:
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console.print(f" Checking connection to [bold]{provider.display_name}[/bold]...", end=" ")
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try:
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resp = httpx.get(provider.connectivity_check, timeout=3.0)
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resp.raise_for_status()
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console.print("[green]✓[/green]")
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except Exception:
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console.print("[yellow]✗ (server not reachable)[/yellow]")
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console.print(
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f" [yellow]Warning:[/yellow] Could not reach {provider.base_url}.\n"
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f" Make sure {provider.display_name} is running before using Pyra."
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)
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def _choose_model(provider: Provider) -> str:
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model = questionary.text(
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"Model name:",
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default=provider.default_model,
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).ask()
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if model is None:
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raise SystemExit(0)
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return model.strip()
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def _collect_api_key(provider: Provider) -> None:
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from pyra.vault.writer import set_key
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console.print(
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f"\n [dim]API key will be stored in the encrypted vault — never in config.yaml[/dim]"
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)
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key = questionary.password(f"Enter your {provider.display_name} API key:").ask()
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if key is None:
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raise SystemExit(0)
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key = key.strip()
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if not key:
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console.print("[red]No key entered — skipping.[/red]")
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return
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set_key(provider.id, key)
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console.print(" [green]✓ Key stored in vault[/green]")
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def _test_connection(provider: Provider, model: str) -> None:
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from pyra.vault.reader import get_key
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console.print("\n Running test call...", end=" ")
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try:
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import litellm
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# Local providers don't need a real key but litellm still requires the field
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api_key = get_key(provider.id) if provider.requires_key else "local"
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kwargs: dict = {
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"model": f"{provider.litellm_prefix}{model}",
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"messages": [{"role": "user", "content": "Reply with exactly: OK"}],
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"max_tokens": 10,
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"api_key": api_key,
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}
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if provider.base_url:
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kwargs["api_base"] = provider.base_url
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litellm.completion(**kwargs)
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console.print("[green]✓ Connection OK[/green]")
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except Exception as exc:
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console.print(f"[yellow]✗ Test call failed: {exc}[/yellow]")
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console.print(" [dim]You can still proceed — check your config with 'pyra setup' again.[/dim]")
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