All Classes Interface Summary Class Summary Enum Summary Exception Summary Annotation Types Summary
| Class |
Description |
| ChatCompletionChoice |
Represents a choice in the chat completion response.
|
| ChatCompletionChoiceMessage |
Represents the message content in a chat completion choice, including the role (e.g., user, assistant)
and the actual text content of the message.
|
| ChatCompletionFunctionCallDetails |
Represents the a call of a function used as a tool in the chat completion request.
|
| ChatCompletionFunctionDetails |
Represents the details of a function used as a tool in the chat completion request.
|
| ChatCompletionMessage |
Represents a message in a chat completion request, containing the role of the speaker
(user, assistant, or system) and the message content, which may include text or other parts.
|
| ChatCompletionMessagePart |
Represents a part of a chat completion message, which may be a text or an image URL.
|
| ChatCompletionMessagePart.ChatCompletionMessagePartListDeSerializer |
|
| ChatCompletionMessagePart.ChatCompletionMessageUrlPart |
Encodes URL part: { "url": "https://example.com/somepicture.jpg" }
|
| ChatCompletionMessagePart.ImageDetail |
|
| ChatCompletionMessagePart.Type |
|
| ChatCompletionRequest |
Represents a request to the OpenAI chat completion API, including model, messages,
and optional parameters like max tokens, temperature, and response format.
|
| ChatCompletionRequest.ResponseFormat |
|
| ChatCompletionRequest.ResponseFormatType |
|
| ChatCompletionRequest.Role |
|
| ChatCompletionResponse |
Represents the response from the OpenAI chat completion API, containing details
about the generated choices, token usage, and metadata like the model used and creation time.
|
| ChatCompletionResponse.FinishReason |
|
| ChatCompletionToolCall |
Represents a tool call generated by the model in a chat completion response.
|
| ChatCompletionUsage |
Represents the token usage details in a chat completion response, including
the number of tokens used for the prompt, the completion, and the total.
|
| ChatTool |
Represents a tool in the OpenAI chat completion request, currently limited to functions.
|
| GPTChatCompletionService |
Raw abstraction of the ChatGPT chat interface, with only the details that are needed.
|
| GPTChatCompletionServiceImpl |
Implements the actual access to the ChatGPT chat API.
|
| GPTChatCompletionServiceImpl.EnsureResultFutureCallback |
Makes doubly sure that result is somehow set after the call.
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| GPTChatCompletionServiceImpl.GPTChatCompletionServiceConfig |
|
| GPTChatCompletionServiceImpl.RetryableException |
Thrown when we get a 429 rate limiting response.
|
| GPTChatMessage |
A chat message in a dialog with ChatGPT.
|
| GPTChatMessagesTemplate |
A template for chat messages, with placeholders.
|
| GPTChatRequest |
A request to ChatGPT.
|
| GPTCompletionCallback |
For a streaming mode this is given as parameter for the method call and receives the streamed data; the method returns only when the response is complete.
|
| GPTCompletionCallback.GPTCompletionCallbackWrapper |
Forwards all methods to a delegate.
|
| GPTCompletionCallback.GPTCompletionCollector |
A simple collector that just takes note of things.
|
| GPTCompletionCallback.GPTToolExecutionContext |
For tool calls: context to execute actions in.
|
| GPTConfiguration |
A configuration to use for accessing the external LLM service.
|
| GPTConfiguration.AnswerType |
|
| GPTConfiguration.GPTContextInfo |
Gives the conversation a history - additional assistant - user message pair.
|
| GPTConfiguration.Mode |
|
| GPTContentCreationService |
Service to generate content (keywords / descriptions from a text, and so forth.)
|
| GPTContentCreationServiceImpl |
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| GPTDictationService |
Services related to dictation.
|
| GPTDictationServiceImpl |
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| GPTDictationServiceImpl.GPTDictationServiceConfig |
Configures whether it's enabled (default false), the model and the request counts, and the maximum request size.
|
| GPTEmbeddingService |
Methods related to embeddings.
|
| GPTEmbeddingService.EmbeddingsCache |
Optional cache for embedding values.
|
| GPTEmbeddingServiceImpl |
|
| GPTException |
Any kind of error when accessing GPT.
|
| GPTException.GPTContextLengthExceededException |
{
"error": {
"message": "This model's maximum context length is 4097 tokens.
|
| GPTException.GPTRetryableResponseErrorException |
An exception that is thrown when the response from the GPT service is not as expected.
|
| GPTException.GPTUserNotificationException |
A special exception if the user should be notified about something instead of completing the task.
|
| GPTFinishReason |
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| GPTFunctionCallDetails |
Represents the a call of a function used as a tool in the chat completion request.
|
| GPTFunctionDetails |
Represents the details of a function used as a tool in the chat completion request.
|
| GPTInternalOpenAIHelper |
Helpers for implementation in this package.
|
| GPTInternalOpenAIHelper.GPTInternalOpenAIHelperInst |
|
| GPTMessageRole |
|
| GPTResponseCheck |
An additional check that verifies whether the translation was carried out right - such as paths in HTML weren't translated.
|
| GPTTool |
An action the AI can perform - likely from the sidebar chat.
|
| GPTToolCall |
Represents a tool call generated by the model in a chat completion response.
|
| GPTTranslationService |
|
| GPTTranslationServiceImpl |
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| GPTTranslationServiceImpl.Config |
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| HtmlToMarkdownConverter |
A quick HTML markdown converter that handles the tags [a, strong, code, em, p, br, u, ul, li, ol] used in rich text editor.
|
| OpenAIEmbeddings |
Request and response for OpenAI embeddings API.
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| OpenAIEmbeddings.EmbeddingObject |
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| OpenAIEmbeddings.EmbeddingRequest |
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| OpenAIEmbeddings.EmbeddingResponse |
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| RateLimiter |
This class is used to limit the rate of requests to the chat service.
|
| StringstreamSlowdown |
For a stream of String segments (like the ChatGPT tokens that trickle in from ChatGPT when streaming) this collects
the parts and forwards the collected part every 500ms to a given consumer.
|