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stainless-app merged 1 commit into from
Mar 20, 2025
Merged

feat(api): manual updates #48

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2 changes: 1 addition & 1 deletion .stats.yml
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Original file line number Diff line number Diff line change
@@ -1,2 +1,2 @@
configured_endpoints: 80
openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-c22f59c66aec7914b6ee653d3098d1c1c8c16c180d2a158e819c8ddbf476f74b.yml
openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-4bc8df9bcbd9a3b1822bcbe38af92d0cf289acded43aa5aebc2bc503b186af89.yml
230 changes: 3 additions & 227 deletions lib/openai/models/beta/assistant_create_params.rb
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Original file line number Diff line number Diff line change
Expand Up @@ -98,8 +98,8 @@ class AssistantCreateParams < OpenAI::BaseModel
# a list of file IDs, while the `file_search` tool requires a list of vector store
# IDs.
#
# @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources, nil]
optional :tool_resources, -> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources }, nil?: true
# @return [UnnamedTypeWithNoPropertyInfoOrParent0, nil]
optional :tool_resources, -> { UnnamedTypeWithNoPropertyInfoOrParent0 }, nil?: true

# @!attribute [r] tools
# A list of tool enabled on the assistant. There can be a maximum of 128 tools per
Expand Down Expand Up @@ -132,7 +132,7 @@ class AssistantCreateParams < OpenAI::BaseModel
# # @param reasoning_effort [Symbol, OpenAI::Models::ReasoningEffort, nil]
# # @param response_format [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
# # @param temperature [Float, nil]
# # @param tool_resources [OpenAI::Models::Beta::AssistantCreateParams::ToolResources, nil]
# # @param tool_resources [UnnamedTypeWithNoPropertyInfoOrParent0, nil]
# # @param tools [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>]
# # @param top_p [Float, nil]
# # @param request_options [OpenAI::RequestOptions, Hash{Symbol=>Object}]
Expand Down Expand Up @@ -176,230 +176,6 @@ class Model < OpenAI::Union
# def variants; end
# end
end

class ToolResources < OpenAI::BaseModel
# @!attribute [r] code_interpreter
#
# @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::CodeInterpreter, nil]
optional :code_interpreter,
-> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::CodeInterpreter }

# @!parse
# # @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::CodeInterpreter]
# attr_writer :code_interpreter

# @!attribute [r] file_search
#
# @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch, nil]
optional :file_search, -> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch }

# @!parse
# # @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch]
# attr_writer :file_search

# @!parse
# # 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.
# #
# # @param code_interpreter [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::CodeInterpreter]
# # @param file_search [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch]
# #
# def initialize(code_interpreter: nil, file_search: nil, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

class CodeInterpreter < OpenAI::BaseModel
# @!attribute [r] file_ids
# A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
# available to the `code_interpreter` tool. There can be a maximum of 20 files
# associated with the tool.
#
# @return [Array<String>, nil]
optional :file_ids, OpenAI::ArrayOf[String]

# @!parse
# # @return [Array<String>]
# attr_writer :file_ids

# @!parse
# # @param file_ids [Array<String>]
# #
# def initialize(file_ids: nil, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void
end

class FileSearch < OpenAI::BaseModel
# @!attribute [r] vector_store_ids
# The
# [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
# attached to this assistant. There can be a maximum of 1 vector store attached to
# the assistant.
#
# @return [Array<String>, nil]
optional :vector_store_ids, OpenAI::ArrayOf[String]

# @!parse
# # @return [Array<String>]
# attr_writer :vector_store_ids

# @!attribute [r] vector_stores
# A helper to create a
# [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
# with file_ids and attach it to this assistant. There can be a maximum of 1
# vector store attached to the assistant.
#
# @return [Array<OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore>, nil]
optional :vector_stores,
-> { OpenAI::ArrayOf[OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore] }

# @!parse
# # @return [Array<OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore>]
# attr_writer :vector_stores

# @!parse
# # @param vector_store_ids [Array<String>]
# # @param vector_stores [Array<OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore>]
# #
# def initialize(vector_store_ids: nil, vector_stores: nil, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

class VectorStore < OpenAI::BaseModel
# @!attribute [r] chunking_strategy
# The chunking strategy used to chunk the file(s). If not set, will use the `auto`
# strategy.
#
# @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil]
optional :chunking_strategy,
union: -> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy }

# @!parse
# # @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static]
# attr_writer :chunking_strategy

# @!attribute [r] file_ids
# A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
# add to the vector store. There can be a maximum of 10000 files in a vector
# store.
#
# @return [Array<String>, nil]
optional :file_ids, OpenAI::ArrayOf[String]

# @!parse
# # @return [Array<String>]
# attr_writer :file_ids

# @!attribute 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.
#
# @return [Hash{Symbol=>String}, nil]
optional :metadata, OpenAI::HashOf[String], nil?: true

# @!parse
# # @param chunking_strategy [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static]
# # @param file_ids [Array<String>]
# # @param metadata [Hash{Symbol=>String}, nil]
# #
# def initialize(chunking_strategy: nil, file_ids: nil, metadata: nil, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

# @abstract
#
# The chunking strategy used to chunk the file(s). If not set, will use the `auto`
# strategy.
class ChunkingStrategy < OpenAI::Union
discriminator :type

# The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
variant :auto,
-> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto }

variant :static,
-> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static }

class Auto < OpenAI::BaseModel
# @!attribute type
# Always `auto`.
#
# @return [Symbol, :auto]
required :type, const: :auto

# @!parse
# # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
# # `800` and `chunk_overlap_tokens` of `400`.
# #
# # @param type [Symbol, :auto]
# #
# def initialize(type: :auto, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void
end

class Static < OpenAI::BaseModel
# @!attribute static
#
# @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static]
required :static,
-> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static }

# @!attribute type
# Always `static`.
#
# @return [Symbol, :static]
required :type, const: :static

# @!parse
# # @param static [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static]
# # @param type [Symbol, :static]
# #
# def initialize(static:, type: :static, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

class Static < OpenAI::BaseModel
# @!attribute chunk_overlap_tokens
# The number of tokens that overlap between chunks. The default value is `400`.
#
# Note that the overlap must not exceed half of `max_chunk_size_tokens`.
#
# @return [Integer]
required :chunk_overlap_tokens, Integer

# @!attribute max_chunk_size_tokens
# The maximum number of tokens in each chunk. The default value is `800`. The
# minimum value is `100` and the maximum value is `4096`.
#
# @return [Integer]
required :max_chunk_size_tokens, Integer

# @!parse
# # @param chunk_overlap_tokens [Integer]
# # @param max_chunk_size_tokens [Integer]
# #
# def initialize(chunk_overlap_tokens:, max_chunk_size_tokens:, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void
end
end

# @!parse
# class << self
# # @return [Array(OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static)]
# def variants; end
# end
end
end
end
end
end
end
end
Expand Down
95 changes: 4 additions & 91 deletions lib/openai/models/beta/thread_create_and_run_params.rb
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Original file line number Diff line number Diff line change
Expand Up @@ -517,12 +517,11 @@ class VectorStore < OpenAI::BaseModel
# The chunking strategy used to chunk the file(s). If not set, will use the `auto`
# strategy.
#
# @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil]
optional :chunking_strategy,
union: -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy }
# @return [UnnamedTypeWithNoPropertyInfoOrParent1::Auto, UnnamedTypeWithNoPropertyInfoOrParent1::Static, nil]
optional :chunking_strategy, union: -> { UnnamedTypeWithNoPropertyInfoOrParent1 }

# @!parse
# # @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static]
# # @return [UnnamedTypeWithNoPropertyInfoOrParent1::Auto, UnnamedTypeWithNoPropertyInfoOrParent1::Static]
# attr_writer :chunking_strategy

# @!attribute [r] file_ids
Expand All @@ -549,99 +548,13 @@ class VectorStore < OpenAI::BaseModel
optional :metadata, OpenAI::HashOf[String], nil?: true

# @!parse
# # @param chunking_strategy [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static]
# # @param chunking_strategy [UnnamedTypeWithNoPropertyInfoOrParent1::Auto, UnnamedTypeWithNoPropertyInfoOrParent1::Static]
# # @param file_ids [Array<String>]
# # @param metadata [Hash{Symbol=>String}, nil]
# #
# def initialize(chunking_strategy: nil, file_ids: nil, metadata: nil, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

# @abstract
#
# The chunking strategy used to chunk the file(s). If not set, will use the `auto`
# strategy.
class ChunkingStrategy < OpenAI::Union
discriminator :type

# The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
variant :auto,
-> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto }

variant :static,
-> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static }

class Auto < OpenAI::BaseModel
# @!attribute type
# Always `auto`.
#
# @return [Symbol, :auto]
required :type, const: :auto

# @!parse
# # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
# # `800` and `chunk_overlap_tokens` of `400`.
# #
# # @param type [Symbol, :auto]
# #
# def initialize(type: :auto, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void
end

class Static < OpenAI::BaseModel
# @!attribute static
#
# @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static]
required :static,
-> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static }

# @!attribute type
# Always `static`.
#
# @return [Symbol, :static]
required :type, const: :static

# @!parse
# # @param static [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static]
# # @param type [Symbol, :static]
# #
# def initialize(static:, type: :static, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void

class Static < OpenAI::BaseModel
# @!attribute chunk_overlap_tokens
# The number of tokens that overlap between chunks. The default value is `400`.
#
# Note that the overlap must not exceed half of `max_chunk_size_tokens`.
#
# @return [Integer]
required :chunk_overlap_tokens, Integer

# @!attribute max_chunk_size_tokens
# The maximum number of tokens in each chunk. The default value is `800`. The
# minimum value is `100` and the maximum value is `4096`.
#
# @return [Integer]
required :max_chunk_size_tokens, Integer

# @!parse
# # @param chunk_overlap_tokens [Integer]
# # @param max_chunk_size_tokens [Integer]
# #
# def initialize(chunk_overlap_tokens:, max_chunk_size_tokens:, **) = super

# def initialize: (Hash | OpenAI::BaseModel) -> void
end
end

# @!parse
# class << self
# # @return [Array(OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static)]
# def variants; end
# end
end
end
end
end
Expand Down
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