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Merge pull request #4661 from BerriAI/litellm_fix_mh
[Fix] Model Hub - Show supports vision correctly
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commit
8bf50ac5db
4 changed files with 16 additions and 2 deletions
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@ -4,6 +4,9 @@ model_list:
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model: openai/fake
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api_key: fake-key
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api_base: https://exampleopenaiendpoint-production.up.railway.app/
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- model_name: gemini-flash
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litellm_params:
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model: gemini/gemini-1.5-flash
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general_settings:
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master_key: sk-1234
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@ -1,13 +1,16 @@
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# What is this?
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## Unit testing for the 'get_model_info()' function
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import os, sys, traceback
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import os
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import sys
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import traceback
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import pytest
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import litellm
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from litellm import get_model_info
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import pytest
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def test_get_model_info_simple_model_name():
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@ -37,3 +40,9 @@ def test_get_model_info_custom_llm_with_same_name_vllm():
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pytest.fail("Expected get model info to fail for an unmapped model/provider")
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except Exception:
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pass
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def test_get_model_info_shows_correct_supports_vision():
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info = litellm.get_model_info("gemini/gemini-1.5-flash")
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print("info", info)
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assert info["supports_vision"] is True
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@ -73,6 +73,7 @@ class ModelInfo(TypedDict, total=False):
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supported_openai_params: Required[Optional[List[str]]]
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supports_system_messages: Optional[bool]
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supports_response_schema: Optional[bool]
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supports_vision: Optional[bool]
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class GenericStreamingChunk(TypedDict):
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@ -4829,6 +4829,7 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
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supports_response_schema=_model_info.get(
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"supports_response_schema", None
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),
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supports_vision=_model_info.get("supports_vision", None),
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)
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except Exception:
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raise Exception(
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