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feat: add custom provider and non-destructive onboard

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Re-bin 2026-02-13 16:05:00 +00:00
parent 3f59a8e234
commit b76cf05c3a
3 changed files with 24 additions and 9 deletions
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18
nanobot/cli/commands.py
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@ -155,21 +155,21 @@ def main(
@app.command() @app.command()
def onboard(): def onboard():
"""Initialize nanobot configuration and workspace.""" """Initialize nanobot configuration and workspace."""
from nanobot.config.loader import get_config_path, save_config from nanobot.config.loader import get_config_path, load_config, save_config
from nanobot.config.schema import Config from nanobot.config.schema import Config
from nanobot.utils.helpers import get_workspace_path from nanobot.utils.helpers import get_workspace_path
config_path = get_config_path() config_path = get_config_path()
if config_path.exists(): if config_path.exists():
console.print(f"[yellow]Config already exists at {config_path}[/yellow]") # Load existing config — Pydantic fills in defaults for any new fields
if not typer.confirm("Overwrite?"): config = load_config()
raise typer.Exit() save_config(config)
console.print(f"[green]✓[/green] Config refreshed at {config_path} (existing values preserved)")
# Create default config else:
config = Config() config = Config()
save_config(config) save_config(config)
console.print(f"[green]✓[/green] Created config at {config_path}") console.print(f"[green]✓[/green] Created config at {config_path}")
# Create workspace # Create workspace
workspace = get_workspace_path() workspace = get_workspace_path()

1
nanobot/config/schema.py
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@ -179,6 +179,7 @@ class ProviderConfig(BaseModel):
class ProvidersConfig(BaseModel): class ProvidersConfig(BaseModel):
"""Configuration for LLM providers.""" """Configuration for LLM providers."""
custom: ProviderConfig = Field(default_factory=ProviderConfig) # Any OpenAI-compatible endpoint
anthropic: ProviderConfig = Field(default_factory=ProviderConfig) anthropic: ProviderConfig = Field(default_factory=ProviderConfig)
openai: ProviderConfig = Field(default_factory=ProviderConfig) openai: ProviderConfig = Field(default_factory=ProviderConfig)
openrouter: ProviderConfig = Field(default_factory=ProviderConfig) openrouter: ProviderConfig = Field(default_factory=ProviderConfig)

14
nanobot/providers/registry.py
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@ -62,6 +62,20 @@ class ProviderSpec:
PROVIDERS: tuple[ProviderSpec, ...] = ( PROVIDERS: tuple[ProviderSpec, ...] = (
# === Custom (user-provided OpenAI-compatible endpoint) =================
# No auto-detection — only activates when user explicitly configures "custom".
ProviderSpec(
name="custom",
keywords=(),
env_key="OPENAI_API_KEY",
display_name="Custom",
litellm_prefix="openai",
skip_prefixes=("openai/",),
is_gateway=True,
strip_model_prefix=True,
),
# === Gateways (detected by api_key / api_base, not model name) ========= # === Gateways (detected by api_key / api_base, not model name) =========
# Gateways can route any model, so they win in fallback. # Gateways can route any model, so they win in fallback.