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fix(utils.py): re-integrate separate gemini optional param mapping (google ai studio)

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Fixes https://github.com/BerriAI/litellm/issues/4333
This commit is contained in:
Krrish Dholakia 2024-06-21 09:01:32 -07:00
parent d2b4d1f7ed
commit 16941eee43
4 changed files with 214 additions and 2 deletions
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12
litellm/utils.py
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@ -2710,6 +2710,16 @@ def get_optional_params(
print_verbose(
f"(end) INSIDE THE VERTEX AI OPTIONAL PARAM BLOCK - optional_params: {optional_params}"
)
elif custom_llm_provider == "gemini":
supported_params = get_supported_openai_params(
model=model, custom_llm_provider=custom_llm_provider
)
_check_valid_arg(supported_params=supported_params)
optional_params = litellm.GoogleAIStudioGeminiConfig().map_openai_params(
non_default_params=non_default_params,
optional_params=optional_params,
model=model,
)
elif custom_llm_provider == "vertex_ai_beta" or custom_llm_provider == "gemini":
supported_params = get_supported_openai_params(
model=model, custom_llm_provider=custom_llm_provider
@ -3746,7 +3756,7 @@ def get_supported_openai_params(
elif request_type == "embeddings":
return litellm.DatabricksEmbeddingConfig().get_supported_openai_params()
elif custom_llm_provider == "palm" or custom_llm_provider == "gemini":
return litellm.VertexAIConfig().get_supported_openai_params()
return litellm.GoogleAIStudioGeminiConfig().get_supported_openai_params()
elif custom_llm_provider == "vertex_ai":
if request_type == "chat_completion":
return litellm.VertexAIConfig().get_supported_openai_params()