LiteLLM Minor Fixes & Improvements (09/18/2024) (#5772)

* fix(proxy_server.py): fix azure key vault logic to not require client id/secret

* feat(cost_calculator.py): support fireworks ai cost tracking

* build(docker-compose.yml): add lines for mounting config.yaml to docker compose

Closes https://github.com/BerriAI/litellm/issues/5739

* fix(input.md): update docs to clarify litellm supports content as a list of dictionaries

Fixes https://github.com/BerriAI/litellm/issues/5755

* fix(input.md): update input.md to include all message values

* fix(image_handling.py): follow image url redirects

Fixes https://github.com/BerriAI/litellm/issues/5763

* fix(router.py): Fix model key/base leak in error message

Fixes https://github.com/BerriAI/litellm/issues/5762

* fix(http_handler.py): fix linting error

* fix(azure.py): fix logging to show azure_ad_token being used

Fixes https://github.com/BerriAI/litellm/issues/5767

* fix(_redis.py): add redis sentinel support

Closes https://github.com/BerriAI/litellm/issues/4381

* feat(_redis.py): add redis sentinel support

Closes https://github.com/BerriAI/litellm/issues/4381

* test(test_completion_cost.py): fix test

* Databricks Integration: Integrate Databricks SDK as optional mechanism for fetching API base and token, if unspecified (#5746)

* LiteLLM Minor Fixes & Improvements (09/16/2024)  (#5723)

* coverage (#5713)

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* Move (#5714)

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix(litellm_logging.py): fix logging client re-init (#5710)

Fixes https://github.com/BerriAI/litellm/issues/5695

* fix(presidio.py): Fix logging_hook response and add support for additional presidio variables in guardrails config

Fixes https://github.com/BerriAI/litellm/issues/5682

* feat(o1_handler.py): fake streaming for openai o1 models

Fixes https://github.com/BerriAI/litellm/issues/5694

* docs: deprecated traceloop integration in favor of native otel (#5249)

* fix: fix linting errors

* fix: fix linting errors

* fix(main.py): fix o1 import

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>

* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view (#5730)

* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view

Supports having `MonthlyGlobalSpend` view be a material view, and exposes an endpoint to refresh it

* fix(custom_logger.py): reset calltype

* fix: fix linting errors

* fix: fix linting error

* fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix: fix import

* Fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* DB test

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* Coverage

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* progress

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix test name

Signed-off-by: dbczumar <corey.zumar@databricks.com>

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>

* test: fix test

* test(test_databricks.py): fix test

* fix(databricks/chat.py): handle custom endpoint (e.g. sagemaker)

* Apply code scanning fix for clear-text logging of sensitive information

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* fix(__init__.py): fix known fireworks ai models

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
This commit is contained in:
Krish Dholakia 2024-09-19 13:25:29 -07:00 committed by GitHub
parent 49b2766723
commit d46660ea0f
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24 changed files with 697 additions and 170 deletions

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@ -7,10 +7,17 @@ from typing import Any, Dict, List
from unittest.mock import MagicMock, Mock, patch
import litellm
from litellm.exceptions import BadRequestError, InternalServerError
from litellm.exceptions import BadRequestError
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.utils import CustomStreamWrapper
try:
import databricks.sdk
databricks_sdk_installed = True
except ImportError:
databricks_sdk_installed = False
def mock_chat_response() -> Dict[str, Any]:
return {
@ -33,8 +40,8 @@ def mock_chat_response() -> Dict[str, Any]:
"usage": {
"prompt_tokens": 230,
"completion_tokens": 38,
"total_tokens": 268,
"completion_tokens_details": None,
"total_tokens": 268,
},
"system_fingerprint": None,
}
@ -195,7 +202,14 @@ def mock_embedding_response() -> Dict[str, Any]:
@pytest.mark.parametrize("set_base", [True, False])
def test_throws_if_only_one_of_api_base_or_api_key_set(monkeypatch, set_base):
def test_throws_if_api_base_or_api_key_not_set_without_databricks_sdk(
monkeypatch, set_base
):
# Simulate that the databricks SDK is not installed
monkeypatch.setitem(sys.modules, "databricks.sdk", None)
err_msg = "the Databricks base URL and API key are not set"
if set_base:
monkeypatch.setenv(
"DATABRICKS_API_BASE",
@ -204,11 +218,11 @@ def test_throws_if_only_one_of_api_base_or_api_key_set(monkeypatch, set_base):
monkeypatch.delenv(
"DATABRICKS_API_KEY",
)
err_msg = "A call is being made to LLM Provider but no key is set"
else:
monkeypatch.setenv("DATABRICKS_API_KEY", "dapimykey")
monkeypatch.delenv("DATABRICKS_API_BASE")
err_msg = "A call is being made to LLM Provider but no api base is set"
monkeypatch.delenv(
"DATABRICKS_API_BASE",
)
with pytest.raises(BadRequestError) as exc:
litellm.completion(
@ -422,6 +436,67 @@ def test_completions_streaming_with_async_http_handler(monkeypatch):
)
@pytest.mark.skipif(not databricks_sdk_installed, reason="Databricks SDK not installed")
def test_completions_uses_databricks_sdk_if_api_key_and_base_not_specified(monkeypatch):
from databricks.sdk import WorkspaceClient
from databricks.sdk.config import Config
sync_handler = HTTPHandler()
mock_response = Mock(spec=httpx.Response)
mock_response.status_code = 200
mock_response.json.return_value = mock_chat_response()
expected_response_json = {
**mock_chat_response(),
**{
"model": "databricks/dbrx-instruct-071224",
},
}
base_url = "https://my.workspace.cloud.databricks.com"
api_key = "dapimykey"
headers = {
"Authorization": f"Bearer {api_key}",
}
messages = [{"role": "user", "content": "How are you?"}]
mock_workspace_client: WorkspaceClient = MagicMock()
mock_config: Config = MagicMock()
# Simulate the behavior of the config property and its methods
mock_config.authenticate.side_effect = lambda: headers
mock_config.host = base_url # Assign directly as if it's a property
mock_workspace_client.config = mock_config
with patch(
"databricks.sdk.WorkspaceClient", return_value=mock_workspace_client
), patch.object(HTTPHandler, "post", return_value=mock_response) as mock_post:
response = litellm.completion(
model="databricks/dbrx-instruct-071224",
messages=messages,
client=sync_handler,
temperature=0.5,
extraparam="testpassingextraparam",
)
assert response.to_dict() == expected_response_json
mock_post.assert_called_once_with(
f"{base_url}/serving-endpoints/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
data=json.dumps(
{
"model": "dbrx-instruct-071224",
"messages": messages,
"temperature": 0.5,
"extraparam": "testpassingextraparam",
"stream": False,
}
),
)
def test_embeddings_with_sync_http_handler(monkeypatch):
base_url = "https://my.workspace.cloud.databricks.com/serving-endpoints"
api_key = "dapimykey"
@ -500,3 +575,59 @@ def test_embeddings_with_async_http_handler(monkeypatch):
}
),
)
@pytest.mark.skipif(not databricks_sdk_installed, reason="Databricks SDK not installed")
def test_embeddings_uses_databricks_sdk_if_api_key_and_base_not_specified(monkeypatch):
from databricks.sdk import WorkspaceClient
from databricks.sdk.config import Config
base_url = "https://my.workspace.cloud.databricks.com/serving-endpoints"
api_key = "dapimykey"
monkeypatch.setenv("DATABRICKS_API_BASE", base_url)
monkeypatch.setenv("DATABRICKS_API_KEY", api_key)
sync_handler = HTTPHandler()
mock_response = Mock(spec=httpx.Response)
mock_response.status_code = 200
mock_response.json.return_value = mock_embedding_response()
base_url = "https://my.workspace.cloud.databricks.com"
api_key = "dapimykey"
headers = {
"Authorization": f"Bearer {api_key}",
}
inputs = ["Hello", "World"]
mock_workspace_client: WorkspaceClient = MagicMock()
mock_config: Config = MagicMock()
# Simulate the behavior of the config property and its methods
mock_config.authenticate.side_effect = lambda: headers
mock_config.host = base_url # Assign directly as if it's a property
mock_workspace_client.config = mock_config
with patch(
"databricks.sdk.WorkspaceClient", return_value=mock_workspace_client
), patch.object(HTTPHandler, "post", return_value=mock_response) as mock_post:
response = litellm.embedding(
model="databricks/bge-large-en-v1.5",
input=inputs,
client=sync_handler,
extraparam="testpassingextraparam",
)
assert response.to_dict() == mock_embedding_response()
mock_post.assert_called_once_with(
f"{base_url}/serving-endpoints/embeddings",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
data=json.dumps(
{
"model": "bge-large-en-v1.5",
"input": inputs,
"extraparam": "testpassingextraparam",
}
),
)