Spaces:
Sleeping
Sleeping
from typing import Literal, Optional, Tuple | |
from litellm.llms.base_llm.chat.transformation import BaseLLMException | |
class DatabricksException(BaseLLMException): | |
pass | |
class DatabricksBase: | |
def _get_api_base(self, api_base: Optional[str]) -> str: | |
if api_base is None: | |
try: | |
from databricks.sdk import WorkspaceClient | |
databricks_client = WorkspaceClient() | |
api_base = ( | |
api_base or f"{databricks_client.config.host}/serving-endpoints" | |
) | |
return api_base | |
except ImportError: | |
raise DatabricksException( | |
status_code=400, | |
message=( | |
"Either set the DATABRICKS_API_BASE and DATABRICKS_API_KEY environment variables, " | |
"or install the databricks-sdk Python library." | |
), | |
) | |
return api_base | |
def _get_databricks_credentials( | |
self, api_key: Optional[str], api_base: Optional[str], headers: Optional[dict] | |
) -> Tuple[str, dict]: | |
headers = headers or {"Content-Type": "application/json"} | |
try: | |
from databricks.sdk import WorkspaceClient | |
databricks_client = WorkspaceClient() | |
api_base = api_base or f"{databricks_client.config.host}/serving-endpoints" | |
if api_key is None: | |
databricks_auth_headers: dict[ | |
str, str | |
] = databricks_client.config.authenticate() | |
headers = {**databricks_auth_headers, **headers} | |
return api_base, headers | |
except ImportError: | |
raise DatabricksException( | |
status_code=400, | |
message=( | |
"If the Databricks base URL and API key are not set, the databricks-sdk " | |
"Python library must be installed. Please install the databricks-sdk, set " | |
"{LLM_PROVIDER}_API_BASE and {LLM_PROVIDER}_API_KEY environment variables, " | |
"or provide the base URL and API key as arguments." | |
), | |
) | |
def databricks_validate_environment( | |
self, | |
api_key: Optional[str], | |
api_base: Optional[str], | |
endpoint_type: Literal["chat_completions", "embeddings"], | |
custom_endpoint: Optional[bool], | |
headers: Optional[dict], | |
) -> Tuple[str, dict]: | |
if api_key is None and not headers: # handle empty headers | |
if custom_endpoint is True: | |
raise DatabricksException( | |
status_code=400, | |
message="Missing API Key - A call is being made to LLM Provider but no key is set either in the environment variables ({LLM_PROVIDER}_API_KEY) or via params", | |
) | |
else: | |
api_base, headers = self._get_databricks_credentials( | |
api_base=api_base, api_key=api_key, headers=headers | |
) | |
if api_base is None: | |
if custom_endpoint: | |
raise DatabricksException( | |
status_code=400, | |
message="Missing API Base - A call is being made to LLM Provider but no api base is set either in the environment variables ({LLM_PROVIDER}_API_KEY) or via params", | |
) | |
else: | |
api_base, headers = self._get_databricks_credentials( | |
api_base=api_base, api_key=api_key, headers=headers | |
) | |
if headers is None: | |
headers = { | |
"Authorization": "Bearer {}".format(api_key), | |
"Content-Type": "application/json", | |
} | |
else: | |
if api_key is not None: | |
headers.update({"Authorization": "Bearer {}".format(api_key)}) | |
if api_key is not None: | |
headers["Authorization"] = f"Bearer {api_key}" | |
if endpoint_type == "chat_completions" and custom_endpoint is not True: | |
api_base = "{}/chat/completions".format(api_base) | |
elif endpoint_type == "embeddings" and custom_endpoint is not True: | |
api_base = "{}/embeddings".format(api_base) | |
return api_base, headers | |