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LiteLLM Minor Fixes & Improvements (11/04/2024) (#6572)

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* feat: initial commit for watsonx chat endpoint support

Closes https://github.com/BerriAI/litellm/issues/6562

* feat(watsonx/chat/handler.py): support tool calling for watsonx

Closes https://github.com/BerriAI/litellm/issues/6562

* fix(streaming_utils.py): return empty chunk instead of failing if streaming value is invalid dict

ensures streaming works for ibm watsonx

* fix(openai_like/chat/handler.py): ensure asynchttphandler is passed correctly for openai like calls

* fix: ensure exception mapping works well for watsonx calls

* fix(openai_like/chat/handler.py): handle async streaming correctly

* feat(main.py): Make it clear when a user is passing an invalid message

add validation for user content message

 Closes https://github.com/BerriAI/litellm/issues/6565

* fix: cleanup

* fix(utils.py): loosen validation check, to just make sure content types are valid

make litellm robust to future content updates

* fix: fix linting erro

* fix: fix linting errors

* fix(utils.py): make validation check more flexible

* test: handle langfuse list index out of range error

* Litellm dev 11 02 2024 (#6561)

* fix(dual_cache.py): update in-memory check for redis batch get cache

Fixes latency delay for async_batch_redis_cache

* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set

* feat(user_api_key_auth.py): add parent otel component for auth

allows us to isolate how much latency is added by auth checks

* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)

reduces latency by 200ms

* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)

Reduces latency by 400-800ms

* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls

reduces latency by 50-100ms

* fix: fix linting error

* fix(_service_logger.py): fix import

* fix(user_api_key_auth.py): fix service logging

* fix(dual_cache.py): don't pass 'self'

* fix: fix python3.8 error

* fix: fix init]

* bump: version 1.51.4 → 1.51.5

* build(deps): bump cookie and express in /docs/my-website (#6566)

Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)

Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)

---
updated-dependencies:
- dependency-name: cookie
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* docs(virtual_keys.md): update Dockerfile reference (#6554)

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>

* (proxy fix) - call connect on prisma client when running setup (#6534)

* critical fix - call connect on prisma client when running setup

* fix test_proxy_server_prisma_setup

* fix test_proxy_server_prisma_setup

* Add 3.5 haiku (#6588)

* feat: add claude-3-5-haiku-20241022 entries

* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models

* add missing entries, remove vision

* remove image token costs

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* build: fix map

* build: fix map

* build: fix json for model map

* Litellm dev 11 02 2024 (#6561)

* fix(dual_cache.py): update in-memory check for redis batch get cache

Fixes latency delay for async_batch_redis_cache

* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set

* feat(user_api_key_auth.py): add parent otel component for auth

allows us to isolate how much latency is added by auth checks

* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)

reduces latency by 200ms

* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)

Reduces latency by 400-800ms

* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls

reduces latency by 50-100ms

* fix: fix linting error

* fix(_service_logger.py): fix import

* fix(user_api_key_auth.py): fix service logging

* fix(dual_cache.py): don't pass 'self'

* fix: fix python3.8 error

* fix: fix init]

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* fix ImageObject conversion (#6584)

* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)

* unit test test_huggingface_text_completion_logprobs

* fix return TextCompletionHandler convert_chat_to_text_completion

* fix hf rest api

* fix test_huggingface_text_completion_logprobs

* fix linting errors

* fix importLiteLLMResponseObjectHandler

* fix test for LiteLLMResponseObjectHandler

* fix test text completion

* fix allow using 15 seconds for premium license check

* testing fix bedrock deprecated cohere.command-text-v14

* (feat) add `Predicted Outputs` for OpenAI  (#6594)

* bump openai to openai==1.54.0

* add 'prediction' param

* testing fix bedrock deprecated cohere.command-text-v14

* test test_openai_prediction_param.py

* test_openai_prediction_param_with_caching

* doc Predicted Outputs

* doc Predicted Output

* (fix) Vertex Improve Performance when using `image_url`  (#6593)

* fix transformation vertex

* test test_process_gemini_image

* test_image_completion_request

* testing fix - bedrock has deprecated cohere.command-text-v14

* fix vertex pdf

* bump: version 1.51.5 → 1.52.0

* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check (#6577)

* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check

* fix(lowest_tpm_rpm_v2.py): return headers in correct format

* test: update test

* build(deps): bump cookie and express in /docs/my-website (#6566)

Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)

Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)

---
updated-dependencies:
- dependency-name: cookie
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* docs(virtual_keys.md): update Dockerfile reference (#6554)

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>

* (proxy fix) - call connect on prisma client when running setup (#6534)

* critical fix - call connect on prisma client when running setup

* fix test_proxy_server_prisma_setup

* fix test_proxy_server_prisma_setup

* Add 3.5 haiku (#6588)

* feat: add claude-3-5-haiku-20241022 entries

* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models

* add missing entries, remove vision

* remove image token costs

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* build: fix map

* build: fix map

* build: fix json for model map

* test: remove eol model

* fix(proxy_server.py): fix db config loading logic

* fix(proxy_server.py): fix order of config / db updates, to ensure fields not overwritten

* test: skip test if required env var is missing

* test: fix test

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>

* test: mark flaky test

* test: handle anthropic api instability

* test: update test

* test: bump num retries on langfuse tests - their api is quite bad

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
This commit is contained in:
Krish Dholakia 2024-11-06 17:53:46 +05:30 • committed by GitHub
parent 0fe8cde7c7
commit 5c55270740
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GPG key ID: B5690EEEBB952194
24 changed files with 1510 additions and 554 deletions
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2
tests/llm_translation/test_databricks.py
View file

@ -233,7 +233,7 @@ def test_throws_if_api_base_or_api_key_not_set_without_databricks_sdk(
with pytest.raises(BadRequestError) as exc:
litellm.completion(
model="databricks/dbrx-instruct-071224",
messages={"role": "user", "content": "How are you?"},
messages=[{"role": "user", "content": "How are you?"}],
)
assert err_msg in str(exc)

16
tests/llm_translation/test_optional_params.py
View file

@ -905,3 +905,19 @@ def test_vertex_schema_field():
"$schema"
not in optional_params["tools"][0]["function_declarations"][0]["parameters"]
)
def test_watsonx_tool_choice():
optional_params = get_optional_params(
model="gemini-1.5-pro", custom_llm_provider="watsonx", tool_choice="auto"
)
print(optional_params)
assert optional_params["tool_choice_options"] == "auto"
def test_watsonx_text_top_k():
optional_params = get_optional_params(
model="gemini-1.5-pro", custom_llm_provider="watsonx_text", top_k=10
)
print(optional_params)
assert optional_params["top_k"] == 10

14
tests/local_testing/test_alangfuse.py
View file

@ -203,7 +203,7 @@ def create_async_task(**completion_kwargs):
@pytest.mark.asyncio
@pytest.mark.parametrize("stream", [False, True])
@pytest.mark.flaky(retries=6, delay=1)
@pytest.mark.flaky(retries=12, delay=2)
async def test_langfuse_logging_without_request_response(stream, langfuse_client):
try:
import uuid
@ -232,6 +232,12 @@ async def test_langfuse_logging_without_request_response(stream, langfuse_client
_trace_data = trace.data
if (
len(_trace_data) == 0
): # prevent infrequent list index out of range error from langfuse api
return
print(f"_trace_data: {_trace_data}")
assert _trace_data[0].input == {
"messages": [{"content": "redacted-by-litellm", "role": "user"}]
}
@ -256,7 +262,7 @@ audio_file = open(file_path, "rb")
@pytest.mark.asyncio
@pytest.mark.flaky(retries=3, delay=1)
@pytest.mark.flaky(retries=12, delay=2)
async def test_langfuse_logging_audio_transcriptions(langfuse_client):
"""
Test that creates a trace with masked input and output
@ -291,7 +297,7 @@ async def test_langfuse_logging_audio_transcriptions(langfuse_client):
@pytest.mark.asyncio
@pytest.mark.flaky(retries=5, delay=1)
@pytest.mark.flaky(retries=12, delay=2)
async def test_langfuse_masked_input_output(langfuse_client):
"""
Test that creates a trace with masked input and output
@ -344,7 +350,7 @@ async def test_langfuse_masked_input_output(langfuse_client):
@pytest.mark.asyncio
@pytest.mark.flaky(retries=3, delay=1)
@pytest.mark.flaky(retries=12, delay=2)
async def test_aaalangfuse_logging_metadata(langfuse_client):
"""
Test that creates multiple traces, with a varying number of generations and sets various metadata fields

2
tests/local_testing/test_exceptions.py
View file

@ -775,7 +775,7 @@ def test_litellm_predibase_exception():
@pytest.mark.parametrize(
"provider", ["predibase", "vertex_ai_beta", "anthropic", "databricks"]
"provider", ["predibase", "vertex_ai_beta", "anthropic", "databricks", "watsonx"]
)
def test_exception_mapping(provider):
"""

61
tests/local_testing/test_function_calling.py
View file

@ -12,7 +12,7 @@ sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import pytest
from unittest.mock import patch, MagicMock, AsyncMock
import litellm
from litellm import RateLimitError, Timeout, completion, completion_cost, embedding
@ -619,3 +619,62 @@ def test_passing_tool_result_as_list(model):
if model == "claude-3-5-sonnet-20241022":
assert resp.usage.prompt_tokens_details.cached_tokens > 0
@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_watsonx_tool_choice(sync_mode):
from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
import json
from litellm import acompletion, completion
litellm.set_verbose = True
tools = [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
},
}
]
messages = [{"role": "user", "content": "What is the weather in San Francisco?"}]
client = HTTPHandler() if sync_mode else AsyncHTTPHandler()
with patch.object(client, "post", return_value=MagicMock()) as mock_completion:
if sync_mode:
resp = completion(
model="watsonx/meta-llama/llama-3-1-8b-instruct",
messages=messages,
tools=tools,
tool_choice="auto",
client=client,
)
else:
resp = await acompletion(
model="watsonx/meta-llama/llama-3-1-8b-instruct",
messages=messages,
tools=tools,
tool_choice="auto",
client=client,
stream=True,
)
print(resp)
mock_completion.assert_called_once()
print(mock_completion.call_args.kwargs)
json_data = json.loads(mock_completion.call_args.kwargs["data"])
json_data["tool_choice_options"] == "auto"

14
tests/local_testing/test_streaming.py
View file

@ -1917,25 +1917,31 @@ def test_completion_sagemaker_stream():
@pytest.mark.skip(reason="Account deleted by IBM.")
def test_completion_watsonx_stream():
@pytest.mark.asyncio
async def test_completion_watsonx_stream():
litellm.set_verbose = True
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
try:
response = completion(
model="watsonx/ibm/granite-13b-chat-v2",
response = await acompletion(
model="watsonx/meta-llama/llama-3-1-8b-instruct",
messages=messages,
temperature=0.5,
max_tokens=20,
stream=True,
# client=client
)
complete_response = ""
has_finish_reason = False
# Add any assertions here to check the response
for idx, chunk in enumerate(response):
idx = 0
async for chunk in response:
chunk, finished = streaming_format_tests(idx, chunk)
has_finish_reason = finished
if finished:
break
complete_response += chunk
idx += 1
if has_finish_reason is False:
raise Exception("finish reason not set for last chunk")
if complete_response.strip() == "":

52
tests/local_testing/test_utils.py
View file

@ -891,3 +891,55 @@ def test_is_base64_encoded_2():
)
assert is_base64_encoded(s="Dog") is False
@pytest.mark.parametrize(
"messages, expected_bool",
[
([{"role": "user", "content": "hi"}], True),
([{"role": "user", "content": [{"type": "text", "text": "hi"}]}], True),
(
[
{
"role": "user",
"content": [
{"type": "image_url", "url": "https://example.com/image.png"}
],
}
],
True,
),
(
[
{
"role": "user",
"content": [
{"type": "text", "text": "hi"},
{
"type": "image",
"source": {
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": "1234",
},
},
},
],
}
],
False,
),
],
)
def test_validate_chat_completion_user_messages(messages, expected_bool):
from litellm.utils import validate_chat_completion_user_messages
if expected_bool:
## Valid message
validate_chat_completion_user_messages(messages=messages)
else:
## Invalid message
with pytest.raises(Exception):
validate_chat_completion_user_messages(messages=messages)

4
tests/logging_callback_tests/test_datadog_llm_obs.py
View file

@ -93,7 +93,9 @@ async def test_datadog_llm_obs_logging():
for _ in range(2):
response = await litellm.acompletion(
model="gpt-4o", messages=["Hello testing dd llm obs!"], mock_response="hi"
model="gpt-4o",
messages=[{"role": "user", "content": "Hello testing dd llm obs!"}],
mock_response="hi",
)
print(response)