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feat(api): update via SDK Studio (#224)
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‎.stats.yml

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configured_endpoints: 22
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/prompt-foundry%2Fprompt-foundry-sdk-744e1f8226fcbad77437e94e9228f1fc6e37a436105bd439695edf0ab2428f70.yml
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/prompt-foundry%2Fprompt-foundry-sdk-9cff8ea13f14bd0899df69243fe78b4f88d4d0172263aa260af1ea66a7d0484e.yml

‎README.md

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@@ -6,8 +6,6 @@ The Prompt Foundry Python library provides convenient access to the Prompt Found
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application. The library includes type definitions for all request params and response fields,
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and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
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It is generated with [Stainless](https://www.stainlessapi.com/).
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## Documentation
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The REST API documentation can be found on [docs.promptfoundry.ai](https://docs.promptfoundry.ai). The full API of this library can be found in [api.md](api.md).

‎src/prompt_foundry_python_sdk/resources/prompts.py

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@@ -230,10 +230,9 @@ def get_parameters(
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> ModelParameters:
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"""
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Fetches the configured model parameters and messages rendered with the provided
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variables mapped to the set LLM provider. This endpoint abstracts the need to
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handle mapping between different providers, while still allowing direct calls to
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the providers.
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Fetches the model configuration parameters for a specified prompt, including
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penalty settings, response format, and the model messages rendered with the
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given variables mapped to the set LLM provider.
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Args:
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append_messages: Appended the the end of the configured prompt messages before running the
@@ -478,10 +477,9 @@ async def get_parameters(
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> ModelParameters:
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"""
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Fetches the configured model parameters and messages rendered with the provided
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variables mapped to the set LLM provider. This endpoint abstracts the need to
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handle mapping between different providers, while still allowing direct calls to
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the providers.
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Fetches the model configuration parameters for a specified prompt, including
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penalty settings, response format, and the model messages rendered with the
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given variables mapped to the set LLM provider.
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Args:
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append_messages: Appended the the end of the configured prompt messages before running the

‎src/prompt_foundry_python_sdk/types/completion_create_params.py

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@@ -11,15 +11,15 @@
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"CompletionCreateParams",
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"AppendMessage",
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"AppendMessageContent",
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"AppendMessageContentTextContentBlock",
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"AppendMessageContentTextContentBlockSchema",
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"AppendMessageContentImageBase64ContentBlock",
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"AppendMessageContentToolCallContentBlock",
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"AppendMessageContentToolCallContentBlockToolCall",
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"AppendMessageContentToolCallContentBlockToolCallFunction",
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"AppendMessageContentToolResultContentBlock",
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"OverrideMessage",
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"OverrideMessageContent",
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"OverrideMessageContentTextContentBlock",
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"OverrideMessageContentTextContentBlockSchema",
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"OverrideMessageContentImageBase64ContentBlock",
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"OverrideMessageContentToolCallContentBlock",
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"OverrideMessageContentToolCallContentBlockToolCall",
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"""The template variables added to the prompt when executing the prompt."""
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class AppendMessageContentTextContentBlock(TypedDict, total=False):
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class AppendMessageContentTextContentBlockSchema(TypedDict, total=False):
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text: Required[str]
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type: Required[Literal["TEXT"]]
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AppendMessageContent: TypeAlias = Union[
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AppendMessageContentTextContentBlock,
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AppendMessageContentTextContentBlockSchema,
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AppendMessageContentImageBase64ContentBlock,
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AppendMessageContentToolCallContentBlock,
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AppendMessageContentToolResultContentBlock,
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role: Required[Literal["assistant", "system", "tool", "user"]]
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class OverrideMessageContentTextContentBlock(TypedDict, total=False):
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class OverrideMessageContentTextContentBlockSchema(TypedDict, total=False):
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text: Required[str]
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type: Required[Literal["TEXT"]]
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OverrideMessageContent: TypeAlias = Union[
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OverrideMessageContentTextContentBlock,
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OverrideMessageContentTextContentBlockSchema,
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OverrideMessageContentImageBase64ContentBlock,
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OverrideMessageContentToolCallContentBlock,
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OverrideMessageContentToolResultContentBlock,

‎src/prompt_foundry_python_sdk/types/completion_create_response.py

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"CompletionCreateResponse",
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"Message",
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"MessageContent",
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"MessageContentTextContentBlock",
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"MessageContentTextContentBlockSchema",
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"MessageContentImageBase64ContentBlock",
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"MessageContentToolCallContentBlock",
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"MessageContentToolCallContentBlockToolCall",
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]
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class MessageContentTextContentBlock(BaseModel):
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class MessageContentTextContentBlockSchema(BaseModel):
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text: str
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type: Literal["TEXT"]
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MessageContent: TypeAlias = Annotated[
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Union[
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MessageContentTextContentBlock,
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MessageContentTextContentBlockSchema,
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MessageContentImageBase64ContentBlock,
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MessageContentToolCallContentBlock,
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MessageContentToolResultContentBlock,

‎src/prompt_foundry_python_sdk/types/evaluation.py

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"Evaluation",
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"AppendedMessage",
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"AppendedMessageContent",
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"AppendedMessageContentTextContentBlock",
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"AppendedMessageContentTextContentBlockSchema",
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"AppendedMessageContentImageBase64ContentBlock",
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"AppendedMessageContentToolCallContentBlock",
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"AppendedMessageContentToolCallContentBlockToolCall",
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]
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class AppendedMessageContentTextContentBlock(BaseModel):
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class AppendedMessageContentTextContentBlockSchema(BaseModel):
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text: str
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type: Literal["TEXT"]
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AppendedMessageContent: TypeAlias = Annotated[
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Union[
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AppendedMessageContentTextContentBlock,
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AppendedMessageContentTextContentBlockSchema,
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AppendedMessageContentImageBase64ContentBlock,
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AppendedMessageContentToolCallContentBlock,
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AppendedMessageContentToolResultContentBlock,

‎src/prompt_foundry_python_sdk/types/evaluation_create_params.py

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"EvaluationCreateParams",
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"AppendedMessage",
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"AppendedMessageContent",
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"AppendedMessageContentTextContentBlock",
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"AppendedMessageContentTextContentBlockSchema",
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"AppendedMessageContentImageBase64ContentBlock",
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"AppendedMessageContentToolCallContentBlock",
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"AppendedMessageContentToolCallContentBlockToolCall",
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"""How heavily to weigh the evaluation within the prompt."""
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class AppendedMessageContentTextContentBlock(TypedDict, total=False):
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class AppendedMessageContentTextContentBlockSchema(TypedDict, total=False):
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text: Required[str]
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type: Required[Literal["TEXT"]]
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AppendedMessageContent: TypeAlias = Union[
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AppendedMessageContentTextContentBlock,
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AppendedMessageContentTextContentBlockSchema,
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AppendedMessageContentImageBase64ContentBlock,
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AppendedMessageContentToolCallContentBlock,
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AppendedMessageContentToolResultContentBlock,

‎src/prompt_foundry_python_sdk/types/evaluation_update_params.py

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"EvaluationUpdateParams",
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"AppendedMessage",
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"AppendedMessageContent",
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"AppendedMessageContentTextContentBlock",
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"AppendedMessageContentTextContentBlockSchema",
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"AppendedMessageContentImageBase64ContentBlock",
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"AppendedMessageContentToolCallContentBlock",
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"AppendedMessageContentToolCallContentBlockToolCall",
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"""How heavily to weigh the evaluation within the prompt."""
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class AppendedMessageContentTextContentBlock(TypedDict, total=False):
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class AppendedMessageContentTextContentBlockSchema(TypedDict, total=False):
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text: Required[str]
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type: Required[Literal["TEXT"]]
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AppendedMessageContent: TypeAlias = Union[
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AppendedMessageContentTextContentBlock,
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AppendedMessageContentTextContentBlockSchema,
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AppendedMessageContentImageBase64ContentBlock,
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AppendedMessageContentToolCallContentBlock,
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AppendedMessageContentToolResultContentBlock,

‎src/prompt_foundry_python_sdk/types/prompt_configuration.py

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"PromptConfiguration",
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"Message",
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"MessageContent",
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"MessageContentTextContentBlock",
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"MessageContentTextContentBlockSchema",
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"MessageContentImageBase64ContentBlock",
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"MessageContentToolCallContentBlock",
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"MessageContentToolCallContentBlockToolCall",
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]
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class MessageContentTextContentBlock(BaseModel):
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class MessageContentTextContentBlockSchema(BaseModel):
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text: str
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MessageContent: TypeAlias = Annotated[
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Union[
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MessageContentTextContentBlock,
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MessageContentTextContentBlockSchema,
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MessageContentImageBase64ContentBlock,
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MessageContentToolCallContentBlock,
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MessageContentToolResultContentBlock,
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max_tokens: Optional[float] = FieldInfo(alias="maxTokens", default=None)
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"""Example: 100"""
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name: str
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"""The name of the model for the provider."""
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api_model_name: str = FieldInfo(alias="modelName")
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"""Example: "gpt-3.5-turbo" """
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api_model_provider: Literal["ANTHROPIC", "OPENAI"] = FieldInfo(alias="modelProvider")
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"""The provider of the provided model."""
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parallel_tool_calls: bool = FieldInfo(alias="parallelToolCalls")
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presence_penalty: float = FieldInfo(alias="presencePenalty")
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"""Example: 0"""
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provider: Literal["ANTHROPIC", "OPENAI"]
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"""The LLM model provider."""
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response_format: Literal["JSON", "TEXT"] = FieldInfo(alias="responseFormat")
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"""Example: PromptResponseFormat.TEXT"""
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‎src/prompt_foundry_python_sdk/types/prompt_create_params.py

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"PromptCreateParams",
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"Message",
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"MessageContent",
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"MessageContentTextContentBlock",
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"MessageContentTextContentBlockSchema",
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"MessageContentImageBase64ContentBlock",
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"MessageContentToolCallContentBlock",
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"MessageContentToolCallContentBlockToolCall",
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tools: Required[Iterable[Tool]]
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class MessageContentTextContentBlock(TypedDict, total=False):
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class MessageContentTextContentBlockSchema(TypedDict, total=False):
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text: Required[str]
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MessageContent: TypeAlias = Union[
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MessageContentTextContentBlockSchema,
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MessageContentImageBase64ContentBlock,
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MessageContentToolCallContentBlock,
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MessageContentToolResultContentBlock,
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max_tokens: Required[Annotated[Optional[float], PropertyInfo(alias="maxTokens")]]
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"""Example: 100"""
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name: Required[str]
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"""The name of the model for the provider."""
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model_name: Required[Annotated[str, PropertyInfo(alias="modelName")]]
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"""Example: "gpt-3.5-turbo" """
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model_provider: Required[Annotated[Literal["ANTHROPIC", "OPENAI"], PropertyInfo(alias="modelProvider")]]
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"""The provider of the provided model."""
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parallel_tool_calls: Required[Annotated[bool, PropertyInfo(alias="parallelToolCalls")]]
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presence_penalty: Required[Annotated[float, PropertyInfo(alias="presencePenalty")]]
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"""Example: 0"""
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provider: Required[Literal["ANTHROPIC", "OPENAI"]]
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"""The LLM model provider."""
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response_format: Required[Annotated[Literal["JSON", "TEXT"], PropertyInfo(alias="responseFormat")]]
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"""Example: PromptResponseFormat.TEXT"""
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