Class ThreadCreateAndRunParams
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com.openai.core.Params
public final class ThreadCreateAndRunParams implements Params
Create a thread and run it in one request.
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Nested Class Summary
Nested Classes Modifier and Type Class Description public final class
ThreadCreateAndRunParams.Builder
A builder for ThreadCreateAndRunParams.
public final class
ThreadCreateAndRunParams.Body
public final class
ThreadCreateAndRunParams.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, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
public final class
ThreadCreateAndRunParams.Thread
Options to create a new thread. If no thread is provided when running a request, an empty thread will be created.
public final class
ThreadCreateAndRunParams.ToolResources
A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the
code_interpreter
tool requires a list of file IDs, while thefile_search
tool requires a list of vector store IDs.public final class
ThreadCreateAndRunParams.Tool
public final class
ThreadCreateAndRunParams.TruncationStrategy
Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.
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Method Summary
Modifier and Type Method Description final String
assistantId()
The ID of the assistant to use to execute this run. final Optional<String>
instructions()
Override the default system message of the assistant. final Optional<Long>
maxCompletionTokens()
The maximum number of completion tokens that may be used over the course of the run. final Optional<Long>
maxPromptTokens()
The maximum number of prompt tokens that may be used over the course of the run. final Optional<ThreadCreateAndRunParams.Metadata>
metadata()
Set of 16 key-value pairs that can be attached to an object. final Optional<ChatModel>
model()
The ID of the Model to be used to execute this run. final Optional<Boolean>
parallelToolCalls()
Whether to enable parallel function calling during tool use. final Optional<AssistantResponseFormatOption>
responseFormat()
Specifies the format that the model must output. final Optional<Double>
temperature()
What sampling temperature to use, between 0 and 2. final Optional<ThreadCreateAndRunParams.Thread>
thread()
Options to create a new thread. final Optional<AssistantToolChoiceOption>
toolChoice()
Controls which (if any) tool is called by the model. final Optional<ThreadCreateAndRunParams.ToolResources>
toolResources()
A set of resources that are used by the assistant's tools. final Optional<List<ThreadCreateAndRunParams.Tool>>
tools()
Override the tools the assistant can use for this run. final Optional<Double>
topP()
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. final Optional<ThreadCreateAndRunParams.TruncationStrategy>
truncationStrategy()
Controls for how a thread will be truncated prior to the run. final JsonField<String>
_assistantId()
Returns the raw JSON value of assistantId. final JsonField<String>
_instructions()
Returns the raw JSON value of instructions. final JsonField<Long>
_maxCompletionTokens()
Returns the raw JSON value of maxCompletionTokens. final JsonField<Long>
_maxPromptTokens()
Returns the raw JSON value of maxPromptTokens. final JsonField<ThreadCreateAndRunParams.Metadata>
_metadata()
Returns the raw JSON value of metadata. final JsonField<ChatModel>
_model()
Returns the raw JSON value of model. final JsonField<Boolean>
_parallelToolCalls()
Returns the raw JSON value of parallelToolCalls. final JsonField<AssistantResponseFormatOption>
_responseFormat()
Returns the raw JSON value of responseFormat. final JsonField<Double>
_temperature()
Returns the raw JSON value of temperature. final JsonField<ThreadCreateAndRunParams.Thread>
_thread()
Returns the raw JSON value of thread. final JsonField<AssistantToolChoiceOption>
_toolChoice()
Returns the raw JSON value of toolChoice. final JsonField<ThreadCreateAndRunParams.ToolResources>
_toolResources()
Returns the raw JSON value of toolResources. final JsonField<List<ThreadCreateAndRunParams.Tool>>
_tools()
Returns the raw JSON value of tools. final JsonField<Double>
_topP()
Returns the raw JSON value of topP. final JsonField<ThreadCreateAndRunParams.TruncationStrategy>
_truncationStrategy()
Returns the raw JSON value of truncationStrategy. final Map<String, JsonValue>
_additionalBodyProperties()
final Headers
_additionalHeaders()
final QueryParams
_additionalQueryParams()
final ThreadCreateAndRunParams.Builder
toBuilder()
final ThreadCreateAndRunParams.Body
_body()
Headers
_headers()
The full set of headers in the parameters, including both fixed and additional headers. QueryParams
_queryParams()
The full set of query params in the parameters, including both fixed and additional query params. Boolean
equals(Object other)
Integer
hashCode()
String
toString()
final static ThreadCreateAndRunParams.Builder
builder()
Returns a mutable builder for constructing an instance of ThreadCreateAndRunParams. -
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Method Detail
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assistantId
final String assistantId()
The ID of the assistant to use to execute this run.
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instructions
final Optional<String> instructions()
Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.
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maxCompletionTokens
final Optional<Long> 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
incomplete
. Seeincomplete_details
for more info.
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maxPromptTokens
final Optional<Long> 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
incomplete
. Seeincomplete_details
for more info.
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metadata
final Optional<ThreadCreateAndRunParams.Metadata> 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, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
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model
final Optional<ChatModel> 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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parallelToolCalls
final Optional<Boolean> parallelToolCalls()
Whether to enable parallel function calling during tool use.
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responseFormat
final Optional<AssistantResponseFormatOption> responseFormat()
Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 * Turbo, and all GPT-3.5 Turbo models since
gpt-3.5-turbo-1106
.Setting to
{ "type": "json_schema", "json_schema": {...} }
enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the Structured Outputs guide.Setting to
{ "type": "json_object" }
enables JSON mode, which ensures the message the model generates is valid JSON.Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if
finish_reason="length"
, which indicates the generation exceededmax_tokens
or the conversation exceeded the max context length.
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temperature
final Optional<Double> 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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thread
final Optional<ThreadCreateAndRunParams.Thread> thread()
Options to create a new thread. If no thread is provided when running a request, an empty thread will be created.
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toolChoice
final Optional<AssistantToolChoiceOption> toolChoice()
Controls which (if any) tool is called by the model.
none
means the model will not call any tools and instead generates a message.auto
is the default value and means the model can pick between generating a message or calling one or more tools.required
means the model must call one or more tools before responding to the user. Specifying a particular tool like{"type": "file_search"}
or{"type": "function", "function": {"name": "my_function"}}
forces the model to call that tool.
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toolResources
final Optional<ThreadCreateAndRunParams.ToolResources> toolResources()
A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the
code_interpreter
tool requires a list of file IDs, while thefile_search
tool requires a list of vector store IDs.
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tools
final Optional<List<ThreadCreateAndRunParams.Tool>> 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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topP
final Optional<Double> 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.
We generally recommend altering this or temperature but not both.
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truncationStrategy
final Optional<ThreadCreateAndRunParams.TruncationStrategy> truncationStrategy()
Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.
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_assistantId
final JsonField<String> _assistantId()
Returns the raw JSON value of assistantId.
Unlike assistantId, this method doesn't throw if the JSON field has an unexpected type.
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_instructions
final JsonField<String> _instructions()
Returns the raw JSON value of instructions.
Unlike instructions, this method doesn't throw if the JSON field has an unexpected type.
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_maxCompletionTokens
final JsonField<Long> _maxCompletionTokens()
Returns the raw JSON value of maxCompletionTokens.
Unlike maxCompletionTokens, this method doesn't throw if the JSON field has an unexpected type.
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_maxPromptTokens
final JsonField<Long> _maxPromptTokens()
Returns the raw JSON value of maxPromptTokens.
Unlike maxPromptTokens, this method doesn't throw if the JSON field has an unexpected type.
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_metadata
final JsonField<ThreadCreateAndRunParams.Metadata> _metadata()
Returns the raw JSON value of metadata.
Unlike metadata, this method doesn't throw if the JSON field has an unexpected type.
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_model
final JsonField<ChatModel> _model()
Returns the raw JSON value of model.
Unlike model, this method doesn't throw if the JSON field has an unexpected type.
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_parallelToolCalls
final JsonField<Boolean> _parallelToolCalls()
Returns the raw JSON value of parallelToolCalls.
Unlike parallelToolCalls, this method doesn't throw if the JSON field has an unexpected type.
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_responseFormat
final JsonField<AssistantResponseFormatOption> _responseFormat()
Returns the raw JSON value of responseFormat.
Unlike responseFormat, this method doesn't throw if the JSON field has an unexpected type.
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_temperature
final JsonField<Double> _temperature()
Returns the raw JSON value of temperature.
Unlike temperature, this method doesn't throw if the JSON field has an unexpected type.
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_thread
final JsonField<ThreadCreateAndRunParams.Thread> _thread()
Returns the raw JSON value of thread.
Unlike thread, this method doesn't throw if the JSON field has an unexpected type.
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_toolChoice
final JsonField<AssistantToolChoiceOption> _toolChoice()
Returns the raw JSON value of toolChoice.
Unlike toolChoice, this method doesn't throw if the JSON field has an unexpected type.
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_toolResources
final JsonField<ThreadCreateAndRunParams.ToolResources> _toolResources()
Returns the raw JSON value of toolResources.
Unlike toolResources, this method doesn't throw if the JSON field has an unexpected type.
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_tools
final JsonField<List<ThreadCreateAndRunParams.Tool>> _tools()
Returns the raw JSON value of tools.
Unlike tools, this method doesn't throw if the JSON field has an unexpected type.
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_topP
final JsonField<Double> _topP()
Returns the raw JSON value of topP.
Unlike topP, this method doesn't throw if the JSON field has an unexpected type.
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_truncationStrategy
final JsonField<ThreadCreateAndRunParams.TruncationStrategy> _truncationStrategy()
Returns the raw JSON value of truncationStrategy.
Unlike truncationStrategy, this method doesn't throw if the JSON field has an unexpected type.
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_additionalBodyProperties
final Map<String, JsonValue> _additionalBodyProperties()
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_additionalHeaders
final Headers _additionalHeaders()
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_additionalQueryParams
final QueryParams _additionalQueryParams()
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toBuilder
final ThreadCreateAndRunParams.Builder toBuilder()
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_body
final ThreadCreateAndRunParams.Body _body()
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_headers
Headers _headers()
The full set of headers in the parameters, including both fixed and additional headers.
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_queryParams
QueryParams _queryParams()
The full set of query params in the parameters, including both fixed and additional query params.
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builder
final static ThreadCreateAndRunParams.Builder builder()
Returns a mutable builder for constructing an instance of ThreadCreateAndRunParams.
The following fields are required:
.assistantId()
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