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LiteLLM Minor Fixes & Improvements (10/15/2024) (#6242)
* feat(litellm_pre_call_utils.py): support forwarding request headers to backend llm api * fix(litellm_pre_call_utils.py): handle custom litellm key header * test(router_code_coverage.py): check if all router functions are dire… (#6186) * test(router_code_coverage.py): check if all router functions are directly tested prevent regressions * docs(configs.md): document all environment variables (#6185) * docs: make it easier to find anthropic/openai prompt caching doc * aded codecov yml (#6207) * fix codecov.yaml * run ci/cd again * (refactor) caching use LLMCachingHandler for async_get_cache and set_cache (#6208) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * fix test_embedding_caching_azure_individual_items_reordered * (feat) prometheus have well defined latency buckets (#6211) * fix prometheus have well defined latency buckets * use a well define latency bucket * use types file for prometheus logging * add test for LATENCY_BUCKETS * fix prom testing * fix config.yml * (refactor caching) use LLMCachingHandler for caching streaming responses (#6210) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * bump (#6187) * update code cov yaml * fix config.yml * add caching component to code cov * fix config.yml ci/cd * add coverage for proxy auth * (refactor caching) use common `_retrieve_from_cache` helper (#6212) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * refactor - use _retrieve_from_cache * refactor use _convert_cached_result_to_model_response * fix linting errors * bump: version 1.49.2 → 1.49.3 * fix code cov components * test(test_router_helpers.py): add router component unit tests * test: add additional router tests * test: add more router testing * test: add more router testing + more mock functions * ci(router_code_coverage.py): fix check --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> * bump: version 1.49.3 → 1.49.4 * (refactor) use helper function `_assemble_complete_response_from_streaming_chunks` to assemble complete responses in caching and logging callbacks (#6220) * (refactor) use _assemble_complete_response_from_streaming_chunks * add unit test for test_assemble_complete_response_from_streaming_chunks_1 * fix assemble complete_streaming_response * config add logging_testing * add logging_coverage in codecov * test test_assemble_complete_response_from_streaming_chunks_3 * add unit tests for _assemble_complete_response_from_streaming_chunks * fix remove unused / junk function * add test for streaming_chunks when error assembling * (refactor) OTEL - use safe_set_attribute for setting attributes (#6226) * otel - use safe_set_attribute for setting attributes * fix OTEL only use safe_set_attribute * (fix) prompt caching cost calculation OpenAI, Azure OpenAI (#6231) * fix prompt caching cost calculation * fix testing for prompt cache cost calc * fix(allowed_model_region): allow us as allowed region (#6234) * test(router_code_coverage.py): check if all router functions are dire… (#6186) * test(router_code_coverage.py): check if all router functions are directly tested prevent regressions * docs(configs.md): document all environment variables (#6185) * docs: make it easier to find anthropic/openai prompt caching doc * aded codecov yml (#6207) * fix codecov.yaml * run ci/cd again * (refactor) caching use LLMCachingHandler for async_get_cache and set_cache (#6208) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * fix test_embedding_caching_azure_individual_items_reordered * (feat) prometheus have well defined latency buckets (#6211) * fix prometheus have well defined latency buckets * use a well define latency bucket * use types file for prometheus logging * add test for LATENCY_BUCKETS * fix prom testing * fix config.yml * (refactor caching) use LLMCachingHandler for caching streaming responses (#6210) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * bump (#6187) * update code cov yaml * fix config.yml * add caching component to code cov * fix config.yml ci/cd * add coverage for proxy auth * (refactor caching) use common `_retrieve_from_cache` helper (#6212) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * refactor - use _retrieve_from_cache * refactor use _convert_cached_result_to_model_response * fix linting errors * bump: version 1.49.2 → 1.49.3 * fix code cov components * test(test_router_helpers.py): add router component unit tests * test: add additional router tests * test: add more router testing * test: add more router testing + more mock functions * ci(router_code_coverage.py): fix check --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> * bump: version 1.49.3 → 1.49.4 * (refactor) use helper function `_assemble_complete_response_from_streaming_chunks` to assemble complete responses in caching and logging callbacks (#6220) * (refactor) use _assemble_complete_response_from_streaming_chunks * add unit test for test_assemble_complete_response_from_streaming_chunks_1 * fix assemble complete_streaming_response * config add logging_testing * add logging_coverage in codecov * test test_assemble_complete_response_from_streaming_chunks_3 * add unit tests for _assemble_complete_response_from_streaming_chunks * fix remove unused / junk function * add test for streaming_chunks when error assembling * (refactor) OTEL - use safe_set_attribute for setting attributes (#6226) * otel - use safe_set_attribute for setting attributes * fix OTEL only use safe_set_attribute * fix(allowed_model_region): allow us as allowed region --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> * fix(litellm_pre_call_utils.py): support 'us' region routing + fix header forwarding to filter on `x-` headers * docs(customer_routing.md): fix region-based routing example * feat(azure.py): handle empty arguments function call - azure Closes https://github.com/BerriAI/litellm/issues/6241 * feat(guardrails_ai.py): support guardrails ai integration Adds support for on-prem guardrails via guardrails ai * fix(proxy/utils.py): prevent sql injection attack Fixes https://huntr.com/bounties/a4f6d357-5b44-4e00-9cac-f1cc351211d2 * fix: fix linting errors * fix(litellm_pre_call_utils.py): don't log litellm api key in proxy server request headers * fix(litellm_pre_call_utils.py): don't forward stainless headers * docs(guardrails_ai.md): add guardrails ai quick start to docs * test: handle flaky test --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com> Co-authored-by: Marcus Elwin <marcus@elwin.com>
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parent
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commit
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32 changed files with 982 additions and 314 deletions
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@ -175,7 +175,7 @@ from .exceptions import (
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UnprocessableEntityError,
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UnsupportedParamsError,
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)
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from .proxy._types import KeyManagementSystem
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from .proxy._types import AllowedModelRegion, KeyManagementSystem
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from .types.llms.openai import (
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ChatCompletionDeltaToolCallChunk,
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ChatCompletionToolCallChunk,
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@ -3839,18 +3839,13 @@ def _get_model_region(
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return litellm_params.region_name
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def _is_region_eu(litellm_params: LiteLLM_Params) -> bool:
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def _infer_model_region(litellm_params: LiteLLM_Params) -> Optional[AllowedModelRegion]:
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"""
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Return true/false if a deployment is in the EU
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"""
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if litellm_params.region_name == "eu":
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return True
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Infer if a model is in the EU or US region
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## ELSE ##
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"""
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- get provider
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- get provider regions
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- return true if given region (get_provider_region) in eu region (config.get_eu_regions())
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Returns:
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- str (region) - "eu" or "us"
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- None (if region not found)
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"""
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model, custom_llm_provider, _, _ = litellm.get_llm_provider(
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model=litellm_params.model, litellm_params=litellm_params
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@ -3861,22 +3856,72 @@ def _is_region_eu(litellm_params: LiteLLM_Params) -> bool:
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)
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if model_region is None:
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return False
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verbose_logger.debug(
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"Cannot infer model region for model: {}".format(litellm_params.model)
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)
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return None
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if custom_llm_provider == "azure":
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eu_regions = litellm.AzureOpenAIConfig().get_eu_regions()
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us_regions = litellm.AzureOpenAIConfig().get_us_regions()
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elif custom_llm_provider == "vertex_ai":
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eu_regions = litellm.VertexAIConfig().get_eu_regions()
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us_regions = litellm.VertexAIConfig().get_us_regions()
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elif custom_llm_provider == "bedrock":
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eu_regions = litellm.AmazonBedrockGlobalConfig().get_eu_regions()
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us_regions = litellm.AmazonBedrockGlobalConfig().get_us_regions()
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elif custom_llm_provider == "watsonx":
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eu_regions = litellm.IBMWatsonXAIConfig().get_eu_regions()
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us_regions = litellm.IBMWatsonXAIConfig().get_us_regions()
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else:
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return False
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eu_regions = []
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us_regions = []
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for region in eu_regions:
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if region in model_region.lower():
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return True
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return "eu"
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for region in us_regions:
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if region in model_region.lower():
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return "us"
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return None
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def _is_region_eu(litellm_params: LiteLLM_Params) -> bool:
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"""
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Return true/false if a deployment is in the EU
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"""
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if litellm_params.region_name == "eu":
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return True
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## Else - try and infer from model region
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model_region = _infer_model_region(litellm_params=litellm_params)
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if model_region is not None and model_region == "eu":
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return True
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return False
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def _is_region_us(litellm_params: LiteLLM_Params) -> bool:
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"""
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Return true/false if a deployment is in the US
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"""
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if litellm_params.region_name == "us":
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return True
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## Else - try and infer from model region
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model_region = _infer_model_region(litellm_params=litellm_params)
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if model_region is not None and model_region == "us":
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return True
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return False
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def is_region_allowed(
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litellm_params: LiteLLM_Params, allowed_model_region: str
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) -> bool:
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"""
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Return true/false if a deployment is in the EU
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"""
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if litellm_params.region_name == allowed_model_region:
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return True
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return False
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