refactor: packages/

1 files changed, 300 insertions, 0 deletions

diff --git a/packages/excalidraw/data/ai/types.ts b/packages/excalidraw/data/ai/types.ts
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+export namespace OpenAIInput {
+  type ChatCompletionContentPart =
+    | ChatCompletionContentPartText
+    | ChatCompletionContentPartImage;
+
+  interface ChatCompletionContentPartImage {
+    image_url: ChatCompletionContentPartImage.ImageURL;
+
+    /**
+     * The type of the content part.
+     */
+    type: "image_url";
+  }
+
+  namespace ChatCompletionContentPartImage {
+    export interface ImageURL {
+      /**
+       * Either a URL of the image or the base64 encoded image data.
+       */
+      url: string;
+
+      /**
+       * Specifies the detail level of the image.
+       */
+      detail?: "auto" | "low" | "high";
+    }
+  }
+
+  interface ChatCompletionContentPartText {
+    /**
+     * The text content.
+     */
+    text: string;
+
+    /**
+     * The type of the content part.
+     */
+    type: "text";
+  }
+
+  interface ChatCompletionUserMessageParam {
+    /**
+     * The contents of the user message.
+     */
+    content: string | Array<ChatCompletionContentPart> | null;
+
+    /**
+     * The role of the messages author, in this case `user`.
+     */
+    role: "user";
+  }
+
+  interface ChatCompletionSystemMessageParam {
+    /**
+     * The contents of the system message.
+     */
+    content: string | null;
+
+    /**
+     * The role of the messages author, in this case `system`.
+     */
+    role: "system";
+  }
+
+  export interface ChatCompletionCreateParamsBase {
+    /**
+     * A list of messages comprising the conversation so far.
+     * [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
+     */
+    messages: Array<
+      ChatCompletionUserMessageParam | ChatCompletionSystemMessageParam
+    >;
+
+    /**
+     * ID of the model to use. See the
+     * [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
+     * table for details on which models work with the Chat API.
+     */
+    model:
+      | (string & {})
+      | "gpt-4-1106-preview"
+      | "gpt-4-vision-preview"
+      | "gpt-4"
+      | "gpt-4-0314"
+      | "gpt-4-0613"
+      | "gpt-4-32k"
+      | "gpt-4-32k-0314"
+      | "gpt-4-32k-0613"
+      | "gpt-3.5-turbo"
+      | "gpt-3.5-turbo-16k"
+      | "gpt-3.5-turbo-0301"
+      | "gpt-3.5-turbo-0613"
+      | "gpt-3.5-turbo-16k-0613";
+
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on their
+     * existing frequency in the text so far, decreasing the model's likelihood to
+     * repeat the same line verbatim.
+     *
+     * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
+     */
+    frequency_penalty?: number | null;
+
+    /**
+     * Modify the likelihood of specified tokens appearing in the completion.
+     *
+     * Accepts a JSON object that maps tokens (specified by their token ID in the
+     * tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+     * bias is added to the logits generated by the model prior to sampling. The exact
+     * effect will vary per model, but values between -1 and 1 should decrease or
+     * increase likelihood of selection; values like -100 or 100 should result in a ban
+     * or exclusive selection of the relevant token.
+     */
+    logit_bias?: Record<string, number> | null;
+
+    /**
+     * The maximum number of [tokens](/tokenizer) to generate in the chat completion.
+     *
+     * The total length of input tokens and generated tokens is limited by the model's
+     * context length.
+     * [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+     * for counting tokens.
+     */
+    max_tokens?: number | null;
+
+    /**
+     * How many chat completion choices to generate for each input message.
+     */
+    n?: number | null;
+
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on
+     * whether they appear in the text so far, increasing the model's likelihood to
+     * talk about new topics.
+     *
+     * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
+     */
+    presence_penalty?: number | null;
+
+    /**
+     * This feature is in Beta. If specified, our system will make a best effort to
+     * sample deterministically, such that repeated requests with the same `seed` and
+     * parameters should return the same result. Determinism is not guaranteed, and you
+     * should refer to the `system_fingerprint` response parameter to monitor changes
+     * in the backend.
+     */
+    seed?: number | null;
+
+    /**
+     * Up to 4 sequences where the API will stop generating further tokens.
+     */
+    stop?: string | null | Array<string>;
+
+    /**
+     * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
+     * sent as data-only
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
+     * as they become available, with the stream terminated by a `data: [DONE]`
+     * message.
+     * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
+     */
+    stream?: boolean | null;
+
+    /**
+     * 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.
+     *
+     * We generally recommend altering this or `top_p` but not both.
+     */
+    temperature?: number | null;
+
+    /**
+     * 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.
+     */
+    top_p?: number | null;
+
+    /**
+     * A unique identifier representing your end-user, which can help OpenAI to monitor
+     * and detect abuse.
+     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
+     */
+    user?: string;
+  }
+}
+
+export namespace OpenAIOutput {
+  export interface ChatCompletion {
+    /**
+     * A unique identifier for the chat completion.
+     */
+    id: string;
+
+    /**
+     * A list of chat completion choices. Can be more than one if `n` is greater
+     * than 1.
+     */
+    choices: Array<Choice>;
+
+    /**
+     * The Unix timestamp (in seconds) of when the chat completion was created.
+     */
+    created: number;
+
+    /**
+     * The model used for the chat completion.
+     */
+    model: string;
+
+    /**
+     * The object type, which is always `chat.completion`.
+     */
+    object: "chat.completion";
+
+    /**
+     * This fingerprint represents the backend configuration that the model runs with.
+     *
+     * Can be used in conjunction with the `seed` request parameter to understand when
+     * backend changes have been made that might impact determinism.
+     */
+    system_fingerprint?: string;
+
+    /**
+     * Usage statistics for the completion request.
+     */
+    usage?: CompletionUsage;
+  }
+  export interface Choice {
+    /**
+     * The reason the model stopped generating tokens. This will be `stop` if the model
+     * hit a natural stop point or a provided stop sequence, `length` if the maximum
+     * number of tokens specified in the request was reached, `content_filter` if
+     * content was omitted due to a flag from our content filters, `tool_calls` if the
+     * model called a tool, or `function_call` (deprecated) if the model called a
+     * function.
+     */
+    finish_reason:
+      | "stop"
+      | "length"
+      | "tool_calls"
+      | "content_filter"
+      | "function_call";
+
+    /**
+     * The index of the choice in the list of choices.
+     */
+    index: number;
+
+    /**
+     * A chat completion message generated by the model.
+     */
+    message: ChatCompletionMessage;
+  }
+
+  interface ChatCompletionMessage {
+    /**
+     * The contents of the message.
+     */
+    content: string | null;
+
+    /**
+     * The role of the author of this message.
+     */
+    role: "assistant";
+  }
+
+  /**
+   * Usage statistics for the completion request.
+   */
+  interface CompletionUsage {
+    /**
+     * Number of tokens in the generated completion.
+     */
+    completion_tokens: number;
+
+    /**
+     * Number of tokens in the prompt.
+     */
+    prompt_tokens: number;
+
+    /**
+     * Total number of tokens used in the request (prompt + completion).
+     */
+    total_tokens: number;
+  }
+
+  export interface APIError {
+    readonly status: 400 | 401 | 403 | 404 | 409 | 422 | 429 | 500 | undefined;
+    readonly headers: Headers | undefined;
+    readonly error: { message: string } | undefined;
+
+    readonly code: string | null | undefined;
+    readonly param: string | null | undefined;
+    readonly type: string | undefined;
+  }
+}