Class BetaAssistantUpdateParams.Builder
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- All Implemented Interfaces:
public final class BetaAssistantUpdateParams.Builder
A builder for BetaAssistantUpdateParams.
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Method Summary
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Method Detail
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assistantId
final BetaAssistantUpdateParams.Builder assistantId(String assistantId)
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description
final BetaAssistantUpdateParams.Builder description(String description)
The description of the assistant. The maximum length is 512 characters.
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description
final BetaAssistantUpdateParams.Builder description(Optional<String> description)
The description of the assistant. The maximum length is 512 characters.
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description
final BetaAssistantUpdateParams.Builder description(JsonField<String> description)
The description of the assistant. The maximum length is 512 characters.
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instructions
final BetaAssistantUpdateParams.Builder instructions(String instructions)
The system instructions that the assistant uses. The maximum length is 256,000 characters.
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instructions
final BetaAssistantUpdateParams.Builder instructions(Optional<String> instructions)
The system instructions that the assistant uses. The maximum length is 256,000 characters.
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instructions
final BetaAssistantUpdateParams.Builder instructions(JsonField<String> instructions)
The system instructions that the assistant uses. The maximum length is 256,000 characters.
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metadata
final BetaAssistantUpdateParams.Builder metadata(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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metadata
final BetaAssistantUpdateParams.Builder metadata(Optional<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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metadata
final BetaAssistantUpdateParams.Builder metadata(JsonField<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 BetaAssistantUpdateParams.Builder model(BetaAssistantUpdateParams.Model model)
ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
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model
final BetaAssistantUpdateParams.Builder model(JsonField<BetaAssistantUpdateParams.Model> model)
ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
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model
final BetaAssistantUpdateParams.Builder model(String value)
ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
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name
final BetaAssistantUpdateParams.Builder name(String name)
The name of the assistant. The maximum length is 256 characters.
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name
final BetaAssistantUpdateParams.Builder name(Optional<String> name)
The name of the assistant. The maximum length is 256 characters.
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name
final BetaAssistantUpdateParams.Builder name(JsonField<String> name)
The name of the assistant. The maximum length is 256 characters.
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reasoningEffort
final BetaAssistantUpdateParams.Builder reasoningEffort(BetaAssistantUpdateParams.ReasoningEffort reasoningEffort)
o1 and o3-mini models only
Constrains effort on reasoning for reasoning models. Currently supported values are
low
,medium
, andhigh
. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.
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reasoningEffort
final BetaAssistantUpdateParams.Builder reasoningEffort(Optional<BetaAssistantUpdateParams.ReasoningEffort> reasoningEffort)
o1 and o3-mini models only
Constrains effort on reasoning for reasoning models. Currently supported values are
low
,medium
, andhigh
. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.
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reasoningEffort
final BetaAssistantUpdateParams.Builder reasoningEffort(JsonField<BetaAssistantUpdateParams.ReasoningEffort> reasoningEffort)
o1 and o3-mini models only
Constrains effort on reasoning for reasoning models. Currently supported values are
low
,medium
, andhigh
. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.
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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(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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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(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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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(JsonField<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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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(ResponseFormatText responseFormatText)
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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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(ResponseFormatJsonObject responseFormatJsonObject)
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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responseFormat
final BetaAssistantUpdateParams.Builder responseFormat(ResponseFormatJsonSchema responseFormatJsonSchema)
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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responseFormatAuto
final BetaAssistantUpdateParams.Builder responseFormatAuto()
auto
is the default value
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temperature
final BetaAssistantUpdateParams.Builder temperature(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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temperature
final BetaAssistantUpdateParams.Builder temperature(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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temperature
final BetaAssistantUpdateParams.Builder temperature(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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temperature
final BetaAssistantUpdateParams.Builder temperature(JsonField<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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toolResources
final BetaAssistantUpdateParams.Builder toolResources(BetaAssistantUpdateParams.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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toolResources
final BetaAssistantUpdateParams.Builder toolResources(Optional<BetaAssistantUpdateParams.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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toolResources
final BetaAssistantUpdateParams.Builder toolResources(JsonField<BetaAssistantUpdateParams.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 BetaAssistantUpdateParams.Builder tools(List<AssistantTool> tools)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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tools
final BetaAssistantUpdateParams.Builder tools(JsonField<List<AssistantTool>> tools)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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addTool
final BetaAssistantUpdateParams.Builder addTool(AssistantTool tool)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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addTool
final BetaAssistantUpdateParams.Builder addTool(CodeInterpreterTool codeInterpreter)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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addTool
final BetaAssistantUpdateParams.Builder addTool(FileSearchTool fileSearch)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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addTool
final BetaAssistantUpdateParams.Builder addTool(FunctionTool function)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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addFunctionTool
final BetaAssistantUpdateParams.Builder addFunctionTool(FunctionDefinition function)
A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types
code_interpreter
,file_search
, orfunction
.
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topP
final BetaAssistantUpdateParams.Builder topP(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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topP
final BetaAssistantUpdateParams.Builder topP(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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topP
final BetaAssistantUpdateParams.Builder topP(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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topP
final BetaAssistantUpdateParams.Builder topP(JsonField<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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additionalBodyProperties
final BetaAssistantUpdateParams.Builder additionalBodyProperties(Map<String, JsonValue> additionalBodyProperties)
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putAdditionalBodyProperty
final BetaAssistantUpdateParams.Builder putAdditionalBodyProperty(String key, JsonValue value)
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putAllAdditionalBodyProperties
final BetaAssistantUpdateParams.Builder putAllAdditionalBodyProperties(Map<String, JsonValue> additionalBodyProperties)
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removeAdditionalBodyProperty
final BetaAssistantUpdateParams.Builder removeAdditionalBodyProperty(String key)
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removeAllAdditionalBodyProperties
final BetaAssistantUpdateParams.Builder removeAllAdditionalBodyProperties(Set<String> keys)
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additionalHeaders
final BetaAssistantUpdateParams.Builder additionalHeaders(Headers additionalHeaders)
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additionalHeaders
final BetaAssistantUpdateParams.Builder additionalHeaders(Map<String, Iterable<String>> additionalHeaders)
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putAdditionalHeader
final BetaAssistantUpdateParams.Builder putAdditionalHeader(String name, String value)
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putAdditionalHeaders
final BetaAssistantUpdateParams.Builder putAdditionalHeaders(String name, Iterable<String> values)
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putAllAdditionalHeaders
final BetaAssistantUpdateParams.Builder putAllAdditionalHeaders(Headers additionalHeaders)
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putAllAdditionalHeaders
final BetaAssistantUpdateParams.Builder putAllAdditionalHeaders(Map<String, Iterable<String>> additionalHeaders)
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replaceAdditionalHeaders
final BetaAssistantUpdateParams.Builder replaceAdditionalHeaders(String name, String value)
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replaceAdditionalHeaders
final BetaAssistantUpdateParams.Builder replaceAdditionalHeaders(String name, Iterable<String> values)
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replaceAllAdditionalHeaders
final BetaAssistantUpdateParams.Builder replaceAllAdditionalHeaders(Headers additionalHeaders)
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replaceAllAdditionalHeaders
final BetaAssistantUpdateParams.Builder replaceAllAdditionalHeaders(Map<String, Iterable<String>> additionalHeaders)
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removeAdditionalHeaders
final BetaAssistantUpdateParams.Builder removeAdditionalHeaders(String name)
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removeAllAdditionalHeaders
final BetaAssistantUpdateParams.Builder removeAllAdditionalHeaders(Set<String> names)
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additionalQueryParams
final BetaAssistantUpdateParams.Builder additionalQueryParams(QueryParams additionalQueryParams)
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additionalQueryParams
final BetaAssistantUpdateParams.Builder additionalQueryParams(Map<String, Iterable<String>> additionalQueryParams)
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putAdditionalQueryParam
final BetaAssistantUpdateParams.Builder putAdditionalQueryParam(String key, String value)
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putAdditionalQueryParams
final BetaAssistantUpdateParams.Builder putAdditionalQueryParams(String key, Iterable<String> values)
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putAllAdditionalQueryParams
final BetaAssistantUpdateParams.Builder putAllAdditionalQueryParams(QueryParams additionalQueryParams)
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putAllAdditionalQueryParams
final BetaAssistantUpdateParams.Builder putAllAdditionalQueryParams(Map<String, Iterable<String>> additionalQueryParams)
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replaceAdditionalQueryParams
final BetaAssistantUpdateParams.Builder replaceAdditionalQueryParams(String key, String value)
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replaceAdditionalQueryParams
final BetaAssistantUpdateParams.Builder replaceAdditionalQueryParams(String key, Iterable<String> values)
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replaceAllAdditionalQueryParams
final BetaAssistantUpdateParams.Builder replaceAllAdditionalQueryParams(QueryParams additionalQueryParams)
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replaceAllAdditionalQueryParams
final BetaAssistantUpdateParams.Builder replaceAllAdditionalQueryParams(Map<String, Iterable<String>> additionalQueryParams)
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removeAdditionalQueryParams
final BetaAssistantUpdateParams.Builder removeAdditionalQueryParams(String key)
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removeAllAdditionalQueryParams
final BetaAssistantUpdateParams.Builder removeAllAdditionalQueryParams(Set<String> keys)
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build
final BetaAssistantUpdateParams build()
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