Class CreateRunRequest.Builder
java.lang.Object
io.github.stefanbratanov.jvm.openai.CreateRunRequest.Builder
- Enclosing class:
- CreateRunRequest
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionadditionalInstructions
(String additionalInstructions) additionalMessages
(List<CreateMessageRequest> additionalMessages) assistantId
(String assistantId) build()
instructions
(String instructions) maxCompletionTokens
(int maxCompletionTokens) maxPromptTokens
(int maxPromptTokens) model
(OpenAIModel model) parallelToolCalls
(boolean parallelToolCalls) responseFormat
(AssistantsResponseFormat responseFormat) Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message.stream
(boolean stream) temperature
(double temperature) toolChoice
(AssistantsToolChoice toolChoice) topP
(double topP) truncationStrategy
(TruncationStrategy truncationStrategy)
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Constructor Details
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Builder
public Builder()
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Method Details
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assistantId
- Parameters:
assistantId
- The ID of the assistant to use to execute this run.
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model
- Parameters:
model
- The ID of the Model to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
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model
- Parameters:
model
-OpenAIModel
to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.
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instructions
- Parameters:
instructions
- Overrides the instructions of the assistant. This is useful for modifying the behavior on a per-run basis.
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additionalInstructions
- Parameters:
additionalInstructions
- Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions.
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additionalMessages
- Parameters:
additionalMessages
- Adds additional messages to the thread before creating the run.
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tools
- Parameters:
tools
- Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.
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metadata
- Parameters:
metadata
- Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
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temperature
- Parameters:
temperature
- What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
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topP
- Parameters:
topP
- An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
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stream
- Parameters:
stream
- If true, returns a stream of events that happen during the Run as server-sent events
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maxPromptTokens
- Parameters:
maxPromptTokens
- The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `complete`. See `incomplete_details` for more info.
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maxCompletionTokens
- Parameters:
maxCompletionTokens
- The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `complete`. See `incomplete_details` for more info.
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truncationStrategy
- Parameters:
truncationStrategy
- The truncation strategy to use for the thread.
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toolChoice
- Parameters:
toolChoice
- Controls which (if any) tool is called by the model.
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parallelToolCalls
- Parameters:
parallelToolCalls
- Whether to enable parallel function calling during tool use.
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responseFormat
Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message.- Parameters:
responseFormat
- An object specifying the format that the model must output.
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build
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