Class: OpenAI::Models::Beta::AssistantCreateParams
- Inherits:
-
Internal::Type::BaseModel
- Object
- Internal::Type::BaseModel
- OpenAI::Models::Beta::AssistantCreateParams
- Extended by:
- Internal::Type::RequestParameters::Converter
- Includes:
- Internal::Type::RequestParameters
- Defined in:
- lib/openai/models/beta/assistant_create_params.rb
Overview
Defined Under Namespace
Modules: Model Classes: ToolResources
Instance Attribute Summary collapse
-
#description ⇒ String?
The description of the assistant.
-
#instructions ⇒ String?
The system instructions that the assistant uses.
-
#metadata ⇒ Hash{Symbol=>String}?
Set of 16 key-value pairs that can be attached to an object.
-
#model ⇒ String, ...
ID of the model to use.
-
#name ⇒ String?
The name of the assistant.
-
#reasoning_effort ⇒ Symbol, ...
o-series models only.
-
#response_format ⇒ Symbol, ...
Specifies the format that the model must output.
-
#temperature ⇒ Float?
What sampling temperature to use, between 0 and 2.
-
#tool_resources ⇒ OpenAI::Models::Beta::AssistantCreateParams::ToolResources?
A set of resources that are used by the assistant's tools.
-
#tools ⇒ Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>?
A list of tool enabled on the assistant.
-
#top_p ⇒ Float?
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass.
Attributes included from Internal::Type::RequestParameters
Class Method Summary collapse
Instance Method Summary collapse
-
#initialize(model: , description: nil, instructions: nil, metadata: nil, name: nil, reasoning_effort: nil, response_format: nil, temperature: nil, tool_resources: nil, tools: nil, top_p: nil, request_options: {}) ⇒ void
constructor
Some parameter documentations has been truncated, see AssistantCreateParams for more details.
Methods included from Internal::Type::RequestParameters::Converter
Methods included from Internal::Type::RequestParameters
Methods inherited from Internal::Type::BaseModel
==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml
Methods included from Internal::Type::Converter
#coerce, coerce, #dump, dump, inspect, #inspect, new_coerce_state, type_info
Methods included from Internal::Util::SorbetRuntimeSupport
#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type
Constructor Details
#initialize(model: , description: nil, instructions: nil, metadata: nil, name: nil, reasoning_effort: nil, response_format: nil, temperature: nil, tool_resources: nil, tools: nil, top_p: nil, request_options: {}) ⇒ void
Some parameter documentations has been truncated, see OpenAI::Models::Beta::AssistantCreateParams for more details.
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 122
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Instance Attribute Details
#description ⇒ String?
The description of the assistant. The maximum length is 512 characters.
25 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 25 optional :description, String, nil?: true |
#instructions ⇒ String?
The system instructions that the assistant uses. The maximum length is 256,000 characters.
32 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 32 optional :instructions, String, nil?: true |
#metadata ⇒ Hash{Symbol=>String}?
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.
43 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 43 optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true |
#model ⇒ String, ...
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.
19 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 19 required :model, union: -> { OpenAI::Beta::AssistantCreateParams::Model } |
#name ⇒ String?
The name of the assistant. The maximum length is 256 characters.
49 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 49 optional :name, String, nil?: true |
#reasoning_effort ⇒ Symbol, ...
o-series models only
Constrains effort on reasoning for
reasoning models. Currently
supported values are low, medium, and high. Reducing reasoning effort can
result in faster responses and fewer tokens used on reasoning in a response.
60 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 60 optional :reasoning_effort, enum: -> { OpenAI::ReasoningEffort }, nil?: true |
#response_format ⇒ Symbol, ...
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 exceeded max_tokens or the conversation exceeded the
max context length.
85 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 85 optional :response_format, union: -> { OpenAI::Beta::AssistantResponseFormatOption }, nil?: true |
#temperature ⇒ Float?
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.
93 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 93 optional :temperature, Float, nil?: true |
#tool_resources ⇒ OpenAI::Models::Beta::AssistantCreateParams::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 the file_search tool requires a list of vector store
IDs.
102 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 102 optional :tool_resources, -> { OpenAI::Beta::AssistantCreateParams::ToolResources }, nil?: true |
#tools ⇒ Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>?
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, or
function.
110 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 110 optional :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Beta::AssistantTool] } |
#top_p ⇒ Float?
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.
120 |
# File 'lib/openai/models/beta/assistant_create_params.rb', line 120 optional :top_p, Float, nil?: true |
Class Method Details
.variants ⇒ Array(String, Symbol, OpenAI::Models::ChatModel)
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 163
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