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return dummy llm api handler which will raise exception if called (#1954)

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Shuchang Zheng 2025-03-17 12:37:10 -07:00 • committed by GitHub
parent 6cc595d04c
commit 205e2b35c0
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3 changed files with 19 additions and 3 deletions
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7
skyvern/forge/sdk/api/llm/api_handler_factory.py
View file

@ -18,7 +18,7 @@ from skyvern.forge.sdk.api.llm.exceptions import (
LLMProviderError,
LLMProviderErrorRetryableTask,
)
from skyvern.forge.sdk.api.llm.models import LLMAPIHandler, LLMConfig, LLMRouterConfig
from skyvern.forge.sdk.api.llm.models import LLMAPIHandler, LLMConfig, LLMRouterConfig, dummy_llm_api_handler
from skyvern.forge.sdk.api.llm.utils import llm_messages_builder, parse_api_response
from skyvern.forge.sdk.artifact.models import ArtifactType
from skyvern.forge.sdk.core import skyvern_context
@ -229,7 +229,10 @@ class LLMAPIHandlerFactory:
@staticmethod
def get_llm_api_handler(llm_key: str, base_parameters: dict[str, Any] | None = None) -> LLMAPIHandler:
llm_config = LLMConfigRegistry.get_config(llm_key)
try:
llm_config = LLMConfigRegistry.get_config(llm_key)
except InvalidLLMConfigError:
return dummy_llm_api_handler
if LLMConfigRegistry.is_router_config(llm_key):
return LLMAPIHandlerFactory.get_llm_api_handler_with_router(llm_key)

2
skyvern/forge/sdk/api/llm/config_registry.py
View file

@ -55,7 +55,7 @@ if not any(
]
):
LOG.warning(
"At least one LLM provider must be enabled. Run setup.sh and follow through the LLM provider setup, or "
"To run skyvern locally, you need to enable at least one LLM provider. Run setup.sh and follow through the LLM provider setup, or "
"update the .env file (check out .env.example to see the required environment variables)."
)

13
skyvern/forge/sdk/api/llm/models.py
View file

@ -93,3 +93,16 @@ class LLMAPIHandler(Protocol):
screenshots: list[bytes] | None = None,
parameters: dict[str, Any] | None = None,
) -> Awaitable[dict[str, Any]]: ...
async def dummy_llm_api_handler(
prompt: str,
prompt_name: str,
step: Step | None = None,
task_v2: TaskV2 | None = None,
thought: Thought | None = None,
ai_suggestion: AISuggestion | None = None,
screenshots: list[bytes] | None = None,
parameters: dict[str, Any] | None = None,
) -> dict[str, Any]:
raise NotImplementedError("Your LLM provider is not configured. Please configure it in the .env file.")