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1add1d80bb
* feat(together_ai/completion): handle together ai completion calls * fix: handle list of int / list of list of int for text completion calls * fix(utils.py): check if base model in bedrock converse model list Fixes https://github.com/BerriAI/litellm/issues/6003 * test(test_optional_params.py): add unit tests for bedrock optional param mapping Fixes https://github.com/BerriAI/litellm/issues/6003 * feat(utils.py): enable passing dummy tool call for anthropic/bedrock calls if tool_use blocks exist Fixes https://github.com/BerriAI/litellm/issues/5388 * fixed an issue with tool use of claude models with anthropic and bedrock (#6013) * fix(utils.py): handle empty schema for anthropic/bedrock Fixes https://github.com/BerriAI/litellm/issues/6012 * fix: fix linting errors * fix: fix linting errors * fix: fix linting errors * fix(proxy_cli.py): fix import route for app + health checks path (#6026) * (testing): Enable testing us.anthropic.claude-3-haiku-20240307-v1:0. (#6018) * fix(proxy_cli.py): fix import route for app + health checks gettsburg.wav Fixes https://github.com/BerriAI/litellm/issues/5999 --------- Co-authored-by: David Manouchehri <david.manouchehri@ai.moda> --------- Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com> Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
from typing import List
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from litellm.llms.OpenAI.openai import OpenAIConfig
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from litellm.llms.prompt_templates.common_utils import convert_content_list_to_str
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from litellm.types.llms.openai import AllMessageValues
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from litellm.types.utils import ProviderField
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class AzureAIStudioConfig(OpenAIConfig):
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def get_required_params(self) -> List[ProviderField]:
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"""For a given provider, return it's required fields with a description"""
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return [
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ProviderField(
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field_name="api_key",
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field_type="string",
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field_description="Your Azure AI Studio API Key.",
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field_value="zEJ...",
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),
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ProviderField(
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field_name="api_base",
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field_type="string",
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field_description="Your Azure AI Studio API Base.",
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field_value="https://Mistral-serverless.",
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),
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]
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def _transform_messages(self, messages: List[AllMessageValues]) -> List:
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for message in messages:
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texts = convert_content_list_to_str(message=message)
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if texts:
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message["content"] = texts
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return messages
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