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fix(openai.py): fix position of invalid_params param
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3 changed files with 5 additions and 8 deletions
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@ -964,9 +964,9 @@ class OpenAIChatCompletion(BaseLLM):
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except openai.UnprocessableEntityError as e:
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## check if body contains unprocessable params - related issue https://github.com/BerriAI/litellm/issues/4800
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if litellm.drop_params is True or drop_params is True:
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invalid_params: List[str] = []
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if e.body is not None and isinstance(e.body, dict) and e.body.get("detail"): # type: ignore
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detail = e.body.get("detail") # type: ignore
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invalid_params: List[str] = []
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if (
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isinstance(detail, List)
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and len(detail) > 0
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@ -1096,9 +1096,9 @@ class OpenAIChatCompletion(BaseLLM):
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except openai.UnprocessableEntityError as e:
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## check if body contains unprocessable params - related issue https://github.com/BerriAI/litellm/issues/4800
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if litellm.drop_params is True or drop_params is True:
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invalid_params: List[str] = []
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if e.body is not None and isinstance(e.body, dict) and e.body.get("detail"): # type: ignore
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detail = e.body.get("detail") # type: ignore
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invalid_params: List[str] = []
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if (
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isinstance(detail, List)
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and len(detail) > 0
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@ -1227,9 +1227,9 @@ class OpenAIChatCompletion(BaseLLM):
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except openai.UnprocessableEntityError as e:
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## check if body contains unprocessable params - related issue https://github.com/BerriAI/litellm/issues/4800
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if litellm.drop_params is True or drop_params is True:
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invalid_params: List[str] = []
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if e.body is not None and isinstance(e.body, dict) and e.body.get("detail"): # type: ignore
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detail = e.body.get("detail") # type: ignore
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invalid_params: List[str] = []
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if (
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isinstance(detail, List)
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and len(detail) > 0
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@ -243,13 +243,13 @@ def mistral_api_pt(messages):
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if k not in special_keys:
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extra_args[k] = v
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texts = ""
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if isinstance(m["content"], list):
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if m.get("content", None) is not None and isinstance(m["content"], list):
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for c in m["content"]:
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if c["type"] == "image_url":
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return messages
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elif c["type"] == "text" and isinstance(c["text"], str):
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texts += c["text"]
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elif isinstance(m["content"], str):
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elif m.get("content", None) is not None and isinstance(m["content"], str):
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texts = m["content"]
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new_m = {"role": m["role"], "content": texts, **extra_args}
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@ -2,6 +2,3 @@ model_list:
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- model_name: "*"
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litellm_params:
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model: "*"
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litellm_settings:
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callbacks: ["openmeter"]
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