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import os
from typing import List, Optional
from esperanto import AIFactory
from fastapi import APIRouter, HTTPException, Query
from loguru import logger
from api.models import (
DefaultModelsResponse,
ModelCreate,
ModelResponse,
ProviderAvailabilityResponse,
)
from open_notebook.domain.models import DefaultModels, Model
from open_notebook.exceptions import InvalidInputError
router = APIRouter()
def _check_openai_compatible_support(mode: str) -> bool:
"""
Check if OpenAI-compatible provider is available for a specific mode.
Args:
mode: One of 'LLM', 'EMBEDDING', 'STT', 'TTS'
Returns:
bool: True if either generic or mode-specific env var is set
"""
generic = os.environ.get("OPENAI_COMPATIBLE_BASE_URL") is not None
specific = os.environ.get(f"OPENAI_COMPATIBLE_BASE_URL_{mode}") is not None
return generic or specific
def _check_azure_support(mode: str) -> bool:
"""
Check if Azure OpenAI provider is available for a specific mode.
Args:
mode: One of 'LLM', 'EMBEDDING', 'STT', 'TTS'
Returns:
bool: True if either generic or mode-specific env vars are set
"""
# Check generic configuration (applies to all modes)
generic = (
os.environ.get("AZURE_OPENAI_API_KEY") is not None
and os.environ.get("AZURE_OPENAI_ENDPOINT") is not None
and os.environ.get("AZURE_OPENAI_API_VERSION") is not None
)
# Check mode-specific configuration (takes precedence)
specific = (
os.environ.get(f"AZURE_OPENAI_API_KEY_{mode}") is not None
and os.environ.get(f"AZURE_OPENAI_ENDPOINT_{mode}") is not None
and os.environ.get(f"AZURE_OPENAI_API_VERSION_{mode}") is not None
)
return generic or specific
@router.get("/models", response_model=List[ModelResponse])
async def get_models(
type: Optional[str] = Query(None, description="Filter by model type")
):
"""Get all configured models with optional type filtering."""
try:
if type:
models = await Model.get_models_by_type(type)
else:
models = await Model.get_all()
return [
ModelResponse(
id=model.id,
name=model.name,
provider=model.provider,
type=model.type,
created=str(model.created),
updated=str(model.updated),
)
for model in models
]
except Exception as e:
logger.error(f"Error fetching models: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error fetching models: {str(e)}")
@router.post("/models", response_model=ModelResponse)
async def create_model(model_data: ModelCreate):
"""Create a new model configuration."""
try:
# Validate model type
valid_types = ["language", "embedding", "text_to_speech", "speech_to_text"]
if model_data.type not in valid_types:
raise HTTPException(
status_code=400,
detail=f"Invalid model type. Must be one of: {valid_types}"
)
# Check for duplicate model name under the same provider (case-insensitive)
from open_notebook.database.repository import repo_query
existing = await repo_query(
"SELECT * FROM model WHERE string::lowercase(provider) = $provider AND string::lowercase(name) = $name LIMIT 1",
{"provider": model_data.provider.lower(), "name": model_data.name.lower()}
)
if existing:
raise HTTPException(
status_code=400,
detail=f"Model '{model_data.name}' already exists for provider '{model_data.provider}'"
)
new_model = Model(
name=model_data.name,
provider=model_data.provider,
type=model_data.type,
)
await new_model.save()
return ModelResponse(
id=new_model.id or "",
name=new_model.name,
provider=new_model.provider,
type=new_model.type,
created=str(new_model.created),
updated=str(new_model.updated),
)
except HTTPException:
raise
except InvalidInputError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error(f"Error creating model: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error creating model: {str(e)}")
@router.delete("/models/{model_id}")
async def delete_model(model_id: str):
"""Delete a model configuration."""
try:
model = await Model.get(model_id)
if not model:
raise HTTPException(status_code=404, detail="Model not found")
await model.delete()
return {"message": "Model deleted successfully"}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error deleting model {model_id}: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error deleting model: {str(e)}")
@router.get("/models/defaults", response_model=DefaultModelsResponse)
async def get_default_models():
"""Get default model assignments."""
try:
defaults = await DefaultModels.get_instance()
return DefaultModelsResponse(
default_chat_model=defaults.default_chat_model, # type: ignore[attr-defined]
default_transformation_model=defaults.default_transformation_model, # type: ignore[attr-defined]
large_context_model=defaults.large_context_model, # type: ignore[attr-defined]
default_text_to_speech_model=defaults.default_text_to_speech_model, # type: ignore[attr-defined]
default_speech_to_text_model=defaults.default_speech_to_text_model, # type: ignore[attr-defined]
default_embedding_model=defaults.default_embedding_model, # type: ignore[attr-defined]
default_tools_model=defaults.default_tools_model, # type: ignore[attr-defined]
)
except Exception as e:
logger.error(f"Error fetching default models: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error fetching default models: {str(e)}")
@router.put("/models/defaults", response_model=DefaultModelsResponse)
async def update_default_models(defaults_data: DefaultModelsResponse):
"""Update default model assignments."""
try:
defaults = await DefaultModels.get_instance()
# Update only provided fields
if defaults_data.default_chat_model is not None:
defaults.default_chat_model = defaults_data.default_chat_model # type: ignore[attr-defined]
if defaults_data.default_transformation_model is not None:
defaults.default_transformation_model = defaults_data.default_transformation_model # type: ignore[attr-defined]
if defaults_data.large_context_model is not None:
defaults.large_context_model = defaults_data.large_context_model # type: ignore[attr-defined]
if defaults_data.default_text_to_speech_model is not None:
defaults.default_text_to_speech_model = defaults_data.default_text_to_speech_model # type: ignore[attr-defined]
if defaults_data.default_speech_to_text_model is not None:
defaults.default_speech_to_text_model = defaults_data.default_speech_to_text_model # type: ignore[attr-defined]
if defaults_data.default_embedding_model is not None:
defaults.default_embedding_model = defaults_data.default_embedding_model # type: ignore[attr-defined]
if defaults_data.default_tools_model is not None:
defaults.default_tools_model = defaults_data.default_tools_model # type: ignore[attr-defined]
await defaults.update()
# No cache refresh needed - next access will fetch fresh data from DB
return DefaultModelsResponse(
default_chat_model=defaults.default_chat_model, # type: ignore[attr-defined]
default_transformation_model=defaults.default_transformation_model, # type: ignore[attr-defined]
large_context_model=defaults.large_context_model, # type: ignore[attr-defined]
default_text_to_speech_model=defaults.default_text_to_speech_model, # type: ignore[attr-defined]
default_speech_to_text_model=defaults.default_speech_to_text_model, # type: ignore[attr-defined]
default_embedding_model=defaults.default_embedding_model, # type: ignore[attr-defined]
default_tools_model=defaults.default_tools_model, # type: ignore[attr-defined]
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error updating default models: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error updating default models: {str(e)}")
@router.get("/models/providers", response_model=ProviderAvailabilityResponse)
async def get_provider_availability():
"""Get provider availability based on environment variables."""
try:
# Check which providers have API keys configured
provider_status = {
"ollama": os.environ.get("OLLAMA_API_BASE") is not None,
"openai": os.environ.get("OPENAI_API_KEY") is not None,
"groq": os.environ.get("GROQ_API_KEY") is not None,
"xai": os.environ.get("XAI_API_KEY") is not None,
"vertex": (
os.environ.get("VERTEX_PROJECT") is not None
and os.environ.get("VERTEX_LOCATION") is not None
and os.environ.get("GOOGLE_APPLICATION_CREDENTIALS") is not None
),
"google": (
os.environ.get("GOOGLE_API_KEY") is not None
or os.environ.get("GEMINI_API_KEY") is not None
),
"openrouter": os.environ.get("OPENROUTER_API_KEY") is not None,
"anthropic": os.environ.get("ANTHROPIC_API_KEY") is not None,
"elevenlabs": os.environ.get("ELEVENLABS_API_KEY") is not None,
"voyage": os.environ.get("VOYAGE_API_KEY") is not None,
"azure": (
_check_azure_support("LLM")
or _check_azure_support("EMBEDDING")
or _check_azure_support("STT")
or _check_azure_support("TTS")
),
"mistral": os.environ.get("MISTRAL_API_KEY") is not None,
"deepseek": os.environ.get("DEEPSEEK_API_KEY") is not None,
"openai-compatible": (
_check_openai_compatible_support("LLM")
or _check_openai_compatible_support("EMBEDDING")
or _check_openai_compatible_support("STT")
or _check_openai_compatible_support("TTS")
),
}
available_providers = [k for k, v in provider_status.items() if v]
unavailable_providers = [k for k, v in provider_status.items() if not v]
# Get supported model types from Esperanto
esperanto_available = AIFactory.get_available_providers()
# Build supported types mapping only for available providers
supported_types: dict[str, list[str]] = {}
for provider in available_providers:
supported_types[provider] = []
# Map Esperanto model types to our environment variable modes
mode_mapping = {
"language": "LLM",
"embedding": "EMBEDDING",
"speech_to_text": "STT",
"text_to_speech": "TTS",
}
# Special handling for openai-compatible to check mode-specific availability
if provider == "openai-compatible":
for model_type, mode in mode_mapping.items():
if model_type in esperanto_available and provider in esperanto_available[model_type]:
if _check_openai_compatible_support(mode):
supported_types[provider].append(model_type)
# Special handling for azure to check mode-specific availability
elif provider == "azure":
for model_type, mode in mode_mapping.items():
if model_type in esperanto_available and provider in esperanto_available[model_type]:
if _check_azure_support(mode):
supported_types[provider].append(model_type)
else:
# Standard provider detection
for model_type, providers in esperanto_available.items():
if provider in providers:
supported_types[provider].append(model_type)
return ProviderAvailabilityResponse(
available=available_providers,
unavailable=unavailable_providers,
supported_types=supported_types
)
except Exception as e:
logger.error(f"Error checking provider availability: {str(e)}")
raise HTTPException(status_code=500, detail=f"Error checking provider availability: {str(e)}") |