forked from phoenix/litellm-mirror
LiteLLM Minor Fixes & Improvements (10/23/2024) (#6407)
* docs(bedrock.md): clarify bedrock auth in litellm docs * fix(convert_dict_to_response.py): Fixes https://github.com/BerriAI/litellm/issues/6387 * feat(pattern_match_deployments.py): more robust handling for wildcard routes (model_name: custom_route/* -> openai/*) Enables user to expose custom routes to users with dynamic handling * test: add more testing * docs(custom_pricing.md): add debug tutorial for custom pricing * test: skip codestral test - unreachable backend * test: fix test * fix(pattern_matching_deployments.py): fix typing * test: cleanup codestral tests - backend api unavailable * (refactor) prometheus async_log_success_event to be under 100 LOC (#6416) * unit testig for prometheus * unit testing for success metrics * use 1 helper for _increment_token_metrics * use helper for _increment_remaining_budget_metrics * use _increment_remaining_budget_metrics * use _increment_top_level_request_and_spend_metrics * use helper for _set_latency_metrics * remove noqa violation * fix test prometheus * test prometheus * unit testing for all prometheus helper functions * fix prom unit tests * fix unit tests prometheus * fix unit test prom * (refactor) router - use static methods for client init utils (#6420) * use InitalizeOpenAISDKClient * use InitalizeOpenAISDKClient static method * fix # noqa: PLR0915 * (code cleanup) remove unused and undocumented logging integrations - litedebugger, berrispend (#6406) * code cleanup remove unused and undocumented code files * fix unused logging integrations cleanup * bump: version 1.50.3 → 1.50.4 --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
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9 changed files with 235 additions and 38 deletions
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@ -695,3 +695,41 @@ def test_convert_to_model_response_object_error():
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_response_headers=None,
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convert_tool_call_to_json_mode=False,
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)
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def test_image_generation_openai_with_pydantic_warning(caplog):
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try:
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import logging
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from litellm.types.utils import ImageResponse, ImageObject
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convert_response_args = {
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"response_object": {
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"created": 1729709945,
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"data": [
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{
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"b64_json": None,
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"revised_prompt": "Generate an image of a baby sea otter. It should look incredibly cute, with big, soulful eyes and a fluffy, wet fur coat. The sea otter should be on its back, as sea otters often do, with its tiny hands holding onto a shell as if it is its precious toy. The background should be a tranquil sea under a clear sky, with soft sunlight reflecting off the waters. The color palette should be soothing with blues, browns, and white.",
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"url": "https://oaidalleapiprodscus.blob.core.windows.net/private/org-ikDc4ex8NB5ZzfTf8m5WYVB7/user-JpwZsbIXubBZvan3Y3GchiiB/img-LL0uoOv4CFJIvNYxoNCKB8oc.png?st=2024-10-23T17%3A59%3A05Z&se=2024-10-23T19%3A59%3A05Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-10-22T19%3A26%3A22Z&ske=2024-10-23T19%3A26%3A22Z&sks=b&skv=2024-08-04&sig=Hl4wczJ3H2vZNdLRt/7JvNi6NvQGDnbNkDy15%2Bl3k5s%3D",
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}
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],
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},
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"model_response_object": ImageResponse(
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created=1729709929,
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data=[],
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),
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"response_type": "image_generation",
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"stream": False,
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"start_time": None,
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"end_time": None,
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"hidden_params": None,
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"_response_headers": None,
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"convert_tool_call_to_json_mode": None,
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}
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resp: ImageResponse = convert_to_model_response_object(**convert_response_args)
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assert resp is not None
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assert resp.data is not None
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assert len(resp.data) == 1
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assert isinstance(resp.data[0], ImageObject)
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except Exception as e:
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pytest.fail(f"Test failed with exception: {e}")
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@ -42,7 +42,7 @@ def test_add_pattern():
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)
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router.add_pattern("openai/*", deployment.to_json(exclude_none=True))
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assert len(router.patterns) == 1
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assert list(router.patterns.keys())[0] == "^openai/.*$"
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assert list(router.patterns.keys())[0] == "openai/(.*)"
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# try getting the pattern
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assert router.route(request="openai/gpt-15") == [
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@ -64,7 +64,7 @@ def test_add_pattern_vertex_ai():
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)
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router.add_pattern("vertex_ai/*", deployment.to_json(exclude_none=True))
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assert len(router.patterns) == 1
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assert list(router.patterns.keys())[0] == "^vertex_ai/.*$"
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assert list(router.patterns.keys())[0] == "vertex_ai/(.*)"
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# try getting the pattern
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assert router.route(request="vertex_ai/gemini-1.5-flash-latest") == [
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@ -99,10 +99,10 @@ def test_pattern_to_regex():
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Tests that the pattern is converted to a regex
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"""
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router = PatternMatchRouter()
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assert router._pattern_to_regex("openai/*") == "^openai/.*$"
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assert router._pattern_to_regex("openai/*") == "openai/(.*)"
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assert (
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router._pattern_to_regex("openai/fo::*::static::*")
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== "^openai/fo::.*::static::.*$"
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== "openai/fo::(.*)::static::(.*)"
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)
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@ -914,3 +914,72 @@ def test_replace_model_in_jsonl(model_list):
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router = Router(model_list=model_list)
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deployments = router.pattern_router.get_deployments_by_pattern(model="claude-3")
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assert deployments is not None
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# def test_pattern_match_deployments(model_list):
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# from litellm.router_utils.pattern_match_deployments import PatternMatchRouter
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# import re
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# patter_router = PatternMatchRouter()
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# request = "fo::hi::static::hello"
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# model_name = "fo::*:static::*"
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# model_name_regex = patter_router._pattern_to_regex(model_name)
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# # Match against the request
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# match = re.match(model_name_regex, request)
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# print(f"match: {match}")
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# print(f"match.end: {match.end()}")
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# if match is None:
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# raise ValueError("Match not found")
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# updated_model = patter_router.set_deployment_model_name(
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# matched_pattern=match, litellm_deployment_litellm_model="openai/*"
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# )
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# assert updated_model == "openai/fo::hi:static::hello"
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@pytest.mark.parametrize(
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"user_request_model, model_name, litellm_model, expected_model",
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[
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("llmengine/foo", "llmengine/*", "openai/foo", "openai/foo"),
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("llmengine/foo", "llmengine/*", "openai/*", "openai/foo"),
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(
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"fo::hi::static::hello",
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"fo::*::static::*",
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"openai/fo::*:static::*",
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"openai/fo::hi:static::hello",
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),
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(
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"fo::hi::static::hello",
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"fo::*::static::*",
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"openai/gpt-3.5-turbo",
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"openai/gpt-3.5-turbo",
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),
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],
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)
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def test_pattern_match_deployment_set_model_name(
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user_request_model, model_name, litellm_model, expected_model
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):
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from re import Match
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from litellm.router_utils.pattern_match_deployments import PatternMatchRouter
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pattern_router = PatternMatchRouter()
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import re
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# Convert model_name into a proper regex
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model_name_regex = pattern_router._pattern_to_regex(model_name)
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# Match against the request
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match = re.match(model_name_regex, user_request_model)
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if match is None:
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raise ValueError("Match not found")
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# Call the set_deployment_model_name function
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updated_model = pattern_router.set_deployment_model_name(match, litellm_model)
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print(updated_model) # Expected output: "openai/fo::hi:static::hello"
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assert updated_model == expected_model
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