Skyvern/skyvern/forge/sdk/api/llm/config_registry.py
2025-04-30 00:06:59 +08:00

848 lines
28 KiB
Python

import structlog
from skyvern.config import settings
from skyvern.forge.sdk.api.llm.exceptions import (
DuplicateLLMConfigError,
InvalidLLMConfigError,
MissingLLMProviderEnvVarsError,
)
from skyvern.forge.sdk.api.llm.models import LiteLLMParams, LLMConfig, LLMRouterConfig
LOG = structlog.get_logger()
class LLMConfigRegistry:
_configs: dict[str, LLMRouterConfig | LLMConfig] = {}
@staticmethod
def is_router_config(llm_key: str) -> bool:
return isinstance(LLMConfigRegistry.get_config(llm_key), LLMRouterConfig)
@staticmethod
def validate_config(llm_key: str, config: LLMRouterConfig | LLMConfig) -> None:
missing_env_vars = config.get_missing_env_vars()
if missing_env_vars:
raise MissingLLMProviderEnvVarsError(llm_key, missing_env_vars)
@classmethod
def register_config(cls, llm_key: str, config: LLMRouterConfig | LLMConfig) -> None:
if llm_key in cls._configs:
raise DuplicateLLMConfigError(llm_key)
cls.validate_config(llm_key, config)
LOG.debug("Registering LLM config", llm_key=llm_key)
cls._configs[llm_key] = config
@classmethod
def get_config(cls, llm_key: str) -> LLMRouterConfig | LLMConfig:
if llm_key not in cls._configs:
# If the key is not found in registered configs, treat it as a general model
if not llm_key:
raise InvalidLLMConfigError(f"LLM_KEY not set for {llm_key}")
return LLMConfig(
llm_key, # Use the LLM_KEY as the model name
["LLM_API_KEY"],
supports_vision=settings.LLM_CONFIG_SUPPORT_VISION,
add_assistant_prefix=settings.LLM_CONFIG_ADD_ASSISTANT_PREFIX,
max_completion_tokens=settings.LLM_CONFIG_MAX_TOKENS,
)
return cls._configs[llm_key]
if settings.ENABLE_OPENAI:
LLMConfigRegistry.register_config(
"OPENAI_GPT4_TURBO",
LLMConfig(
"gpt-4-turbo",
["OPENAI_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4_1",
LLMConfig(
"gpt-4.1",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4_1_MINI",
LLMConfig(
"gpt-4.1-mini",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4_1_NANO",
LLMConfig(
"gpt-4.1-nano",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4_5",
LLMConfig(
"gpt-4.5-preview",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4V",
LLMConfig(
"gpt-4-turbo",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4O",
LLMConfig(
"gpt-4o", ["OPENAI_API_KEY"], supports_vision=True, add_assistant_prefix=False, max_completion_tokens=16384
),
)
LLMConfigRegistry.register_config(
"OPENAI_O3_MINI",
LLMConfig(
"o3-mini",
["OPENAI_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
max_completion_tokens=16384,
temperature=None, # Temperature isn't supported in the O-model series
reasoning_effort="high",
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT4O_MINI",
LLMConfig(
"gpt-4o-mini",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=16384,
),
)
LLMConfigRegistry.register_config(
"OPENAI_GPT-4O-2024-08-06",
LLMConfig(
"gpt-4o-2024-08-06",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=16384,
),
)
LLMConfigRegistry.register_config(
"OPENAI_O4_MINI",
LLMConfig(
"o4-mini",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=100000,
temperature=None, # Temperature isn't supported in the O-model series
reasoning_effort="high",
litellm_params=LiteLLMParams(
drop_params=True, # type: ignore
),
),
)
LLMConfigRegistry.register_config(
"OPENAI_O3",
LLMConfig(
"o3",
["OPENAI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=100000,
temperature=None, # Temperature isn't supported in the O-model series
reasoning_effort="high",
litellm_params=LiteLLMParams(
drop_params=True, # type: ignore
),
),
)
if settings.ENABLE_ANTHROPIC:
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3",
LLMConfig(
"anthropic/claude-3-sonnet-20240229",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3_OPUS",
LLMConfig(
"anthropic/claude-3-opus-20240229",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3_SONNET",
LLMConfig(
"anthropic/claude-3-sonnet-20240229",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3_HAIKU",
LLMConfig(
"anthropic/claude-3-haiku-20240307",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3.5_SONNET",
LLMConfig(
"anthropic/claude-3-5-sonnet-latest",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
max_completion_tokens=8192,
),
)
LLMConfigRegistry.register_config(
"ANTHROPIC_CLAUDE3.7_SONNET",
LLMConfig(
"anthropic/claude-3-7-sonnet-latest",
["ANTHROPIC_API_KEY"],
supports_vision=True,
add_assistant_prefix=True,
max_completion_tokens=8192,
),
)
if settings.ENABLE_BEDROCK:
# Supported through AWS IAM authentication
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3_OPUS",
LLMConfig(
"bedrock/anthropic.claude-3-opus-20240229-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3_SONNET",
LLMConfig(
"bedrock/anthropic.claude-3-sonnet-20240229-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3_HAIKU",
LLMConfig(
"bedrock/anthropic.claude-3-haiku-20240307-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET",
LLMConfig(
"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET_INFERENCE_PROFILE",
LLMConfig(
"bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET_V1",
LLMConfig(
"bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_AMAZON_NOVA_PRO",
LLMConfig(
"bedrock/us.amazon.nova-pro-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_AMAZON_NOVA_LITE",
LLMConfig(
"bedrock/us.amazon.nova-lite-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
),
)
LLMConfigRegistry.register_config(
"BEDROCK_ANTHROPIC_CLAUDE3.7_SONNET_INFERENCE_PROFILE",
LLMConfig(
"bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
["AWS_REGION"],
supports_vision=True,
add_assistant_prefix=True,
max_completion_tokens=64000,
),
)
if settings.ENABLE_AZURE:
LLMConfigRegistry.register_config(
"AZURE_OPENAI",
LLMConfig(
f"azure/{settings.AZURE_DEPLOYMENT}",
[
"AZURE_DEPLOYMENT",
"AZURE_API_KEY",
"AZURE_API_BASE",
"AZURE_API_VERSION",
],
supports_vision=True,
add_assistant_prefix=False,
),
)
if settings.ENABLE_AZURE_GPT4O_MINI:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_GPT4O_MINI",
LLMConfig(
f"azure/{settings.AZURE_GPT4O_MINI_DEPLOYMENT}",
[
"AZURE_GPT4O_MINI_DEPLOYMENT",
"AZURE_GPT4O_MINI_API_KEY",
"AZURE_GPT4O_MINI_API_BASE",
"AZURE_GPT4O_MINI_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_GPT4O_MINI_API_BASE,
api_key=settings.AZURE_GPT4O_MINI_API_KEY,
api_version=settings.AZURE_GPT4O_MINI_API_VERSION,
model_info={"model_name": "azure/gpt-4o-mini"},
),
supports_vision=True,
add_assistant_prefix=False,
),
)
if settings.ENABLE_AZURE_O3_MINI:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_O3_MINI",
LLMConfig(
f"azure/{settings.AZURE_O3_MINI_DEPLOYMENT}",
[
"AZURE_O3_MINI_DEPLOYMENT",
"AZURE_O3_MINI_API_KEY",
"AZURE_O3_MINI_API_BASE",
"AZURE_O3_MINI_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_O3_MINI_API_BASE,
api_key=settings.AZURE_O3_MINI_API_KEY,
api_version=settings.AZURE_O3_MINI_API_VERSION,
model_info={"model_name": "azure/o3-mini"},
),
supports_vision=False,
add_assistant_prefix=False,
max_completion_tokens=16384,
temperature=None, # Temperature isn't supported in the O-model series
reasoning_effort="high",
),
)
if settings.ENABLE_AZURE_GPT4_1:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_GPT4_1",
LLMConfig(
f"azure/{settings.AZURE_GPT4_1_DEPLOYMENT}",
[
"AZURE_GPT4_1_DEPLOYMENT",
"AZURE_GPT4_1_API_KEY",
"AZURE_GPT4_1_API_BASE",
"AZURE_GPT4_1_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_GPT4_1_API_BASE,
api_key=settings.AZURE_GPT4_1_API_KEY,
api_version=settings.AZURE_GPT4_1_API_VERSION,
model_info={"model_name": "azure/gpt-4.1"},
),
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
if settings.ENABLE_AZURE_GPT4_1_MINI:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_GPT4_1_MINI",
LLMConfig(
f"azure/{settings.AZURE_GPT4_1_MINI_DEPLOYMENT}",
[
"AZURE_GPT4_1_MINI_DEPLOYMENT",
"AZURE_GPT4_1_MINI_API_KEY",
"AZURE_GPT4_1_MINI_API_BASE",
"AZURE_GPT4_1_MINI_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_GPT4_1_MINI_API_BASE,
api_key=settings.AZURE_GPT4_1_MINI_API_KEY,
api_version=settings.AZURE_GPT4_1_MINI_API_VERSION,
model_info={"model_name": "azure/gpt-4.1-mini"},
),
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
if settings.ENABLE_AZURE_GPT4_1_NANO:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_GPT4_1_NANO",
LLMConfig(
f"azure/{settings.AZURE_GPT4_1_NANO_DEPLOYMENT}",
[
"AZURE_GPT4_1_NANO_DEPLOYMENT",
"AZURE_GPT4_1_NANO_API_KEY",
"AZURE_GPT4_1_NANO_API_BASE",
"AZURE_GPT4_1_NANO_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_GPT4_1_NANO_API_BASE,
api_key=settings.AZURE_GPT4_1_NANO_API_KEY,
api_version=settings.AZURE_GPT4_1_NANO_API_VERSION,
model_info={"model_name": "azure/gpt-4.1-nano"},
),
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=32768,
),
)
if settings.ENABLE_AZURE_O4_MINI:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_O4_MINI",
LLMConfig(
f"azure/{settings.AZURE_O4_MINI_DEPLOYMENT}",
[
"AZURE_O4_MINI_DEPLOYMENT",
"AZURE_O4_MINI_API_KEY",
"AZURE_O4_MINI_API_BASE",
"AZURE_O4_MINI_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_O4_MINI_API_BASE,
api_key=settings.AZURE_O4_MINI_API_KEY,
api_version=settings.AZURE_O4_MINI_API_VERSION,
model_info={"model_name": "azure/o4-mini"},
),
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=100000,
),
)
if settings.ENABLE_AZURE_O3:
LLMConfigRegistry.register_config(
"AZURE_OPENAI_O3",
LLMConfig(
f"azure/{settings.AZURE_O3_DEPLOYMENT}",
[
"AZURE_O3_DEPLOYMENT",
"AZURE_O3_API_KEY",
"AZURE_O3_API_BASE",
"AZURE_O3_API_VERSION",
],
litellm_params=LiteLLMParams(
api_base=settings.AZURE_O3_API_BASE,
api_key=settings.AZURE_O3_API_KEY,
api_version=settings.AZURE_O3_API_VERSION,
model_info={"model_name": "azure/o3"},
),
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=100000,
),
)
if settings.ENABLE_GEMINI:
LLMConfigRegistry.register_config(
"GEMINI_FLASH_2_0",
LLMConfig(
"gemini/gemini-2.0-flash-001",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
),
)
LLMConfigRegistry.register_config(
"GEMINI_FLASH_2_0_LITE",
LLMConfig(
"gemini/gemini-2.0-flash-lite-preview-02-05",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
),
)
LLMConfigRegistry.register_config(
"GEMINI_PRO",
LLMConfig(
"gemini/gemini-1.5-pro",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
),
)
LLMConfigRegistry.register_config(
"GEMINI_FLASH",
LLMConfig(
"gemini/gemini-1.5-flash",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
),
)
LLMConfigRegistry.register_config(
"GEMINI_2.5_PRO_PREVIEW_03_25",
LLMConfig(
"gemini/gemini-2.5-pro-preview-03-25",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=65536,
),
)
LLMConfigRegistry.register_config(
"GEMINI_2.5_PRO_EXP_03_25",
LLMConfig(
"gemini/gemini-2.5-pro-exp-03-25",
["GEMINI_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=65536,
),
)
if settings.ENABLE_NOVITA:
LLMConfigRegistry.register_config(
"NOVITA_DEEPSEEK_R1",
LLMConfig(
"openai/deepseek/deepseek-r1",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/deepseek/deepseek-r1"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_DEEPSEEK_V3",
LLMConfig(
"openai/deepseek/deepseek_v3",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/deepseek/deepseek_v3"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_3_70B",
LLMConfig(
"openai/meta-llama/llama-3.3-70b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.3-70b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_2_1B",
LLMConfig(
"openai/meta-llama/llama-3.2-1b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.2-1b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_2_3B",
LLMConfig(
"openai/meta-llama/llama-3.2-3b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.2-3b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_2_11B_VISION",
LLMConfig(
"openai/meta-llama/llama-3.2-11b-vision-instruct",
["NOVITA_API_KEY"],
supports_vision=True,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.2-11b-vision-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_1_8B",
LLMConfig(
"openai/meta-llama/llama-3.1-8b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.1-8b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_1_70B",
LLMConfig(
"openai/meta-llama/llama-3.1-70b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.1-70b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_1_405B",
LLMConfig(
"openai/meta-llama/llama-3.1-405b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3.1-405b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_8B",
LLMConfig(
"openai/meta-llama/llama-3-8b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3-8b-instruct"},
),
),
)
LLMConfigRegistry.register_config(
"NOVITA_LLAMA_3_70B",
LLMConfig(
"openai/meta-llama/llama-3-70b-instruct",
["NOVITA_API_KEY"],
supports_vision=False,
add_assistant_prefix=False,
litellm_params=LiteLLMParams(
api_base="https://api.novita.ai/v3/openai",
api_key=settings.NOVITA_API_KEY,
api_version=settings.NOVITA_API_VERSION,
model_info={"model_name": "openai/meta-llama/llama-3-70b-instruct"},
),
),
)
# Create a GCP service account WITH the Vertex AI API access enabled
# Get the credentials json file. See documentation: https://support.google.com/a/answer/7378726?hl=en
# my_vertex_credentials = json.dumps(json.load(open("my_credentials_file.json")))
# Set the value of my_vertex_credentials as the environment variable VERTEX_CREDENTIALS
if settings.ENABLE_VERTEX_AI:
LLMConfigRegistry.register_config(
"VERTEX_GEMINI_2.5_FLASH_PREVIEW_04_17",
LLMConfig(
"vertex_ai/gemini-2.5-flash-preview-04-17",
["VERTEX_CREDENTIALS"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=65535,
litellm_params=LiteLLMParams(
vertex_credentials=settings.VERTEX_CREDENTIALS, # type: ignore
),
),
)
LLMConfigRegistry.register_config(
"VERTEX_GEMINI_2.5_PRO_PREVIEW_03_25",
LLMConfig(
"vertex_ai/gemini-2.5-pro-preview-03-25",
["VERTEX_CREDENTIALS"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=65535,
litellm_params=LiteLLMParams(
vertex_credentials=settings.VERTEX_CREDENTIALS, # type: ignore
),
),
)
LLMConfigRegistry.register_config(
"VERTEX_GEMINI_FLASH_2_0",
LLMConfig(
"vertex_ai/gemini-2.0-flash-001",
["VERTEX_CREDENTIALS"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
litellm_params=LiteLLMParams(
vertex_credentials=settings.VERTEX_CREDENTIALS, # type: ignore
),
),
)
LLMConfigRegistry.register_config(
"VERTEX_GEMINI_PRO",
LLMConfig(
"vertex_ai/gemini-1.5-pro",
["VERTEX_CREDENTIALS"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
litellm_params=LiteLLMParams(
vertex_credentials=settings.VERTEX_CREDENTIALS, # type: ignore
),
),
)
LLMConfigRegistry.register_config(
"VERTEX_GEMINI_FLASH",
LLMConfig(
"vertex_ai/gemini-1.5-flash",
["VERTEX_CREDENTIALS"],
supports_vision=True,
add_assistant_prefix=False,
max_completion_tokens=8192,
litellm_params=LiteLLMParams(
vertex_credentials=settings.VERTEX_CREDENTIALS, # type: ignore
),
),
)
# Add support for dynamically configuring OpenAI-compatible LLM models
# Based on liteLLM's support for OpenAI-compatible APIs
# See documentation: https://docs.litellm.ai/docs/providers/openai_compatible
if settings.ENABLE_OPENAI_COMPATIBLE:
# Check for required model name
model_key = settings.OPENAI_COMPATIBLE_MODEL_KEY
model_name = settings.OPENAI_COMPATIBLE_MODEL_NAME
if not model_name:
raise InvalidLLMConfigError(
"OPENAI_COMPATIBLE_MODEL_NAME is required but not set. OpenAI-compatible model will not be registered."
)
else:
# Required environment variables to check
required_env_vars = ["OPENAI_COMPATIBLE_API_KEY", "OPENAI_COMPATIBLE_MODEL_NAME", "OPENAI_COMPATIBLE_API_BASE"]
# Configure litellm parameters - note the "openai/" prefix required for liteLLM routing
litellm_params = LiteLLMParams(
api_key=settings.OPENAI_COMPATIBLE_API_KEY,
api_base=settings.OPENAI_COMPATIBLE_API_BASE,
api_version=settings.OPENAI_COMPATIBLE_API_VERSION,
model_info={"model_name": f"openai/{model_name}"},
)
# Configure LLMConfig
LLMConfigRegistry.register_config(
model_key,
LLMConfig(
f"openai/{model_name}", # Add openai/ prefix for liteLLM
required_env_vars,
supports_vision=settings.OPENAI_COMPATIBLE_SUPPORTS_VISION,
add_assistant_prefix=settings.OPENAI_COMPATIBLE_ADD_ASSISTANT_PREFIX,
max_completion_tokens=settings.OPENAI_COMPATIBLE_MAX_TOKENS or settings.LLM_CONFIG_MAX_TOKENS,
temperature=settings.OPENAI_COMPATIBLE_TEMPERATURE
if settings.OPENAI_COMPATIBLE_TEMPERATURE is not None
else settings.LLM_CONFIG_TEMPERATURE,
litellm_params=litellm_params,
reasoning_effort=settings.OPENAI_COMPATIBLE_REASONING_EFFORT,
),
)
LOG.info(f"Registered OpenAI-compatible model with key {model_key}", model_name=model_name)