Class: OpenAI::Models::Beta::Assistant
- Inherits:
-
Internal::Type::BaseModel
- Object
- Internal::Type::BaseModel
- OpenAI::Models::Beta::Assistant
- Defined in:
- lib/openai/models/beta/assistant.rb
Overview
Defined Under Namespace
Classes: ToolResources
Instance Attribute Summary collapse
-
#created_at ⇒ Integer
The Unix timestamp (in seconds) for when the assistant was created.
-
#description ⇒ String?
The description of the assistant.
-
#id ⇒ String
The identifier, which can be referenced in API endpoints.
-
#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.
-
#object ⇒ Symbol, :assistant
The object type, which is always
assistant. -
#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::Assistant::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.
Instance Method Summary collapse
-
#initialize(id: , created_at: , description: , instructions: , metadata: , model: , name: , tools: , response_format: nil, temperature: nil, tool_resources: nil, top_p: nil, object: :assistant) ⇒ void
constructor
Some parameter documentations has been truncated, see Assistant for more details.
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(id: , created_at: , description: , instructions: , metadata: , model: , name: , tools: , response_format: nil, temperature: nil, tool_resources: nil, top_p: nil, object: :assistant) ⇒ void
Some parameter documentations has been truncated, see OpenAI::Models::Beta::Assistant for more details.
Represents an assistant that can call the model and use tools.
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# File 'lib/openai/models/beta/assistant.rb', line 126
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Instance Attribute Details
#created_at ⇒ Integer
The Unix timestamp (in seconds) for when the assistant was created.
18 |
# File 'lib/openai/models/beta/assistant.rb', line 18 required :created_at, Integer |
#description ⇒ String?
The description of the assistant. The maximum length is 512 characters.
24 |
# File 'lib/openai/models/beta/assistant.rb', line 24 required :description, String, nil?: true |
#id ⇒ String
The identifier, which can be referenced in API endpoints.
12 |
# File 'lib/openai/models/beta/assistant.rb', line 12 required :id, String |
#instructions ⇒ String?
The system instructions that the assistant uses. The maximum length is 256,000 characters.
31 |
# File 'lib/openai/models/beta/assistant.rb', line 31 required :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.
42 |
# File 'lib/openai/models/beta/assistant.rb', line 42 required :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.
52 |
# File 'lib/openai/models/beta/assistant.rb', line 52 required :model, String |
#name ⇒ String?
The name of the assistant. The maximum length is 256 characters.
58 |
# File 'lib/openai/models/beta/assistant.rb', line 58 required :name, String, nil?: true |
#object ⇒ Symbol, :assistant
The object type, which is always assistant.
64 |
# File 'lib/openai/models/beta/assistant.rb', line 64 required :object, const: :assistant |
#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.
97 |
# File 'lib/openai/models/beta/assistant.rb', line 97 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.
105 |
# File 'lib/openai/models/beta/assistant.rb', line 105 optional :temperature, Float, nil?: true |
#tool_resources ⇒ OpenAI::Models::Beta::Assistant::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.
114 |
# File 'lib/openai/models/beta/assistant.rb', line 114 optional :tool_resources, -> { OpenAI::Beta::Assistant::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.
72 |
# File 'lib/openai/models/beta/assistant.rb', line 72 required :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.
124 |
# File 'lib/openai/models/beta/assistant.rb', line 124 optional :top_p, Float, nil?: true |