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import time | |
from fastapi import APIRouter, Depends, Request # Added Request | |
from typing import List, Dict, Any | |
from auth import get_api_key | |
from model_loader import get_vertex_models, get_vertex_express_models, refresh_models_config_cache | |
import config as app_config # Import config | |
from credentials_manager import CredentialManager # To check its type | |
router = APIRouter() | |
async def list_models(fastapi_request: Request, api_key: str = Depends(get_api_key)): | |
await refresh_models_config_cache() | |
OPENAI_DIRECT_SUFFIX = "-openai" | |
EXPERIMENTAL_MARKER = "-exp-" | |
PAY_PREFIX = "[PAY]" | |
# Access credential_manager from app state | |
credential_manager_instance: CredentialManager = fastapi_request.app.state.credential_manager | |
has_sa_creds = credential_manager_instance.get_total_credentials() > 0 | |
has_express_key = bool(app_config.VERTEX_EXPRESS_API_KEY_VAL) | |
raw_vertex_models = await get_vertex_models() | |
raw_express_models = await get_vertex_express_models() | |
candidate_model_ids = set() | |
if has_express_key: | |
candidate_model_ids.update(raw_express_models) | |
# If *only* express key is available, only express models (and their variants) should be listed. | |
# The current `vertex_model_ids` from remote config might contain non-express models. | |
# The `get_vertex_express_models()` should be the source of truth for express-eligible base models. | |
if not has_sa_creds: | |
# Only list models that are explicitly in the express list. | |
# Suffix generation will apply only to these if they are not gemini-2.0 | |
all_model_ids = set(raw_express_models) | |
else: | |
# Both SA and Express are available, combine all known models | |
all_model_ids = set(raw_vertex_models + raw_express_models) | |
elif has_sa_creds: | |
# Only SA creds available, use all vertex_models (which might include express-eligible ones) | |
all_model_ids = set(raw_vertex_models) | |
else: | |
# No credentials available | |
all_model_ids = set() | |
# Create extended model list with variations (search, encrypt, auto etc.) | |
# This logic might need to be more sophisticated based on actual supported features per base model. | |
# For now, let's assume for each base model, we might have these variations. | |
# A better approach would be if the remote config specified these variations. | |
dynamic_models_data: List[Dict[str, Any]] = [] | |
current_time = int(time.time()) | |
# Add base models and their variations | |
for original_model_id in sorted(list(all_model_ids)): | |
current_display_prefix = "" | |
# Only add PAY_PREFIX if the model is not already an EXPRESS model (which has its own prefix) | |
if not original_model_id.startswith("[EXPRESS]") and \ | |
has_sa_creds and not has_express_key and EXPERIMENTAL_MARKER not in original_model_id: | |
current_display_prefix = PAY_PREFIX | |
base_display_id = f"{current_display_prefix}{original_model_id}" | |
dynamic_models_data.append({ | |
"id": base_display_id, "object": "model", "created": current_time, "owned_by": "google", | |
"permission": [], "root": original_model_id, "parent": None | |
}) | |
# Conditionally add common variations (standard suffixes) | |
if not original_model_id.startswith("gemini-2.0"): # Suffix rules based on original_model_id | |
standard_suffixes = ["-search", "-encrypt", "-encrypt-full", "-auto"] | |
for suffix in standard_suffixes: | |
# Suffix is applied to the original model ID part | |
suffixed_model_part = f"{original_model_id}{suffix}" | |
# Then the whole thing is prefixed | |
final_suffixed_display_id = f"{current_display_prefix}{suffixed_model_part}" | |
# Check if this suffixed ID is already in all_model_ids (unlikely with prefix) or already added | |
if final_suffixed_display_id not in all_model_ids and not any(m['id'] == final_suffixed_display_id for m in dynamic_models_data): | |
dynamic_models_data.append({ | |
"id": final_suffixed_display_id, "object": "model", "created": current_time, "owned_by": "google", | |
"permission": [], "root": original_model_id, "parent": None | |
}) | |
# Apply special suffixes for models starting with "gemini-2.5-flash" | |
if original_model_id.startswith("gemini-2.5-flash"): # Suffix rules based on original_model_id | |
special_flash_suffixes = ["-nothinking", "-max"] | |
for special_suffix in special_flash_suffixes: | |
suffixed_model_part = f"{original_model_id}{special_suffix}" | |
final_special_suffixed_display_id = f"{current_display_prefix}{suffixed_model_part}" | |
if final_special_suffixed_display_id not in all_model_ids and not any(m['id'] == final_special_suffixed_display_id for m in dynamic_models_data): | |
dynamic_models_data.append({ | |
"id": final_special_suffixed_display_id, "object": "model", "created": current_time, "owned_by": "google", | |
"permission": [], "root": original_model_id, "parent": None | |
}) | |
# Ensure uniqueness again after adding suffixes | |
# Add OpenAI direct variations if SA creds are available | |
if has_sa_creds: # OpenAI direct mode only works with SA credentials | |
# `all_model_ids` contains the comprehensive list of base models that are eligible based on current credentials | |
# We iterate through this to determine which ones get an -openai variation. | |
# `raw_vertex_models` is used here to ensure we only add -openai suffix to models that are | |
# fundamentally Vertex models, not just any model that might appear in `all_model_ids` (e.g. from Express list exclusively) | |
# if express only key is provided. | |
# We iterate through the base models from the main Vertex list. | |
for base_model_id_for_openai in raw_vertex_models: # Iterate through original list of GAIA/Vertex base models | |
display_model_id = "" | |
if EXPERIMENTAL_MARKER in base_model_id_for_openai: | |
display_model_id = f"{base_model_id_for_openai}{OPENAI_DIRECT_SUFFIX}" | |
else: | |
display_model_id = f"{PAY_PREFIX}{base_model_id_for_openai}{OPENAI_DIRECT_SUFFIX}" | |
# Check if already added (e.g. if remote config somehow already listed it or added as a base model) | |
if display_model_id and not any(m['id'] == display_model_id for m in dynamic_models_data): | |
dynamic_models_data.append({ | |
"id": display_model_id, "object": "model", "created": current_time, "owned_by": "google", | |
"permission": [], "root": base_model_id_for_openai, "parent": None | |
}) | |
# final_models_data_map = {m["id"]: m for m in dynamic_models_data} | |
# model_list = list(final_models_data_map.values()) | |
# model_list.sort() | |
return {"object": "list", "data": sorted(dynamic_models_data, key=lambda x: x['id'])} |