Export all model interface classes

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Change Log
 
+## UNRELEASED
+
+- Export all model interfaces classes [#37](https://github.com/hypermodeAI/models-as/pull/37)
+
 ## 2024-08-09 - Version 0.2.3
 
 - Add support for Gemini models [#24](https://github.com/hypermodeAI/models-as/pull/24)

src/models/anthropic/messages.ts

@@ -92,7 +92,7 @@ export class AssistantMessage extends Message {
  * The input object for the Anthropic Messages API.
  */
 @json
-class AnthropicMessagesInput {
+export class AnthropicMessagesInput {
   /**
    * The model that will complete your prompt.
    * Must be the exact string expected by the model provider.
@@ -258,7 +258,7 @@ export class Tool {
 
 
 @json
-class ToolChoice {
+export class ToolChoice {
   constructor(type: string, name: string | null = null) {
     this._type = type;
     this._name = name;
@@ -296,7 +296,7 @@ export const ToolChoiceTool = (name: string): ToolChoice =>
  * The output object for the Anthropic Messages API.
  */
 @json
-class AnthropicMessagesOutput {
+export class AnthropicMessagesOutput {
   /**
    * Unique object identifier.
    */
@@ -348,7 +348,7 @@ class AnthropicMessagesOutput {
 
 
 @json
-class ContentBlock {
+export class ContentBlock {
   type!: string;
 
   // Text block
@@ -370,7 +370,7 @@ class ContentBlock {
 
 
 @json
-class Usage {
+export class Usage {
   /**
    * The number of input tokens which were used.
    */

src/models/experimental/classification.ts

@@ -26,7 +26,7 @@ export class ClassificationModel extends Model<
  * An input object for the classification model.
  */
 @json
-class ClassificationInput {
+export class ClassificationInput {
   /**
    * A list of one or more text strings of text to classify.
    */
@@ -37,7 +37,7 @@ class ClassificationInput {
  * An output object for the classification model.
  */
 @json
-class ClassificationOutput {
+export class ClassificationOutput {
   /**
    * A list of prediction results that correspond to each input text string.
    */
@@ -69,7 +69,7 @@ export class ClassifierResult {
  * A classification label with its corresponding probability.
  */
 @json
-class ClassifierLabel {
+export class ClassifierLabel {
   /**
    * The classification label.
    */

src/models/experimental/embeddings.ts

@@ -23,7 +23,7 @@ export class EmbeddingsModel extends Model<EmbeddingsInput, EmbeddingsOutput> {
  * An input object for the embeddings model.
  */
 @json
-class EmbeddingsInput {
+export class EmbeddingsInput {
   /**
    * A list of one or more text strings to create vector embeddings for.
    */
@@ -34,7 +34,7 @@ class EmbeddingsInput {
  * An output object for the embeddings model.
  */
 @json
-class EmbeddingsOutput {
+export class EmbeddingsOutput {
   /**
    * A list of vector embeddings that correspond to each input text string.
    */

src/models/gemini/generate.ts

@@ -58,7 +58,7 @@ export class PromptContent {
 
 
 @json
-class Part {
+export class Part {
   text!: string;
 }
 
@@ -141,7 +141,7 @@ export class ModelTextContent extends ModelContent {
  * The input object for the Gemini Generate Content API.
  */
 @json
-class GeminiGenerateInput {
+export class GeminiGenerateInput {
   /**
    * The content of the current conversation with the model.
    */
@@ -257,7 +257,7 @@ export class GenerationConfig {
  * Safety setting, affecting the safety-blocking behavior.
  */
 @json
-class SafetySetting {
+export class SafetySetting {
   category!: HarmCategory;
   threshold!: HarmBlockThreshold;
 }
@@ -312,7 +312,7 @@ export type HarmBlockThreshold = string;
  * The output object for the Gemini Generate Content API.
  */
 @json
-class GeminiGenerateOutput {
+export class GeminiGenerateOutput {
   /**
    * Candidate responses from the model.
    */
@@ -334,7 +334,7 @@ class GeminiGenerateOutput {
  *
  */
 @json
-class Candidate {
+export class Candidate {
   /**
    * Index of the candidate in the list of candidates.
    */
@@ -425,7 +425,7 @@ export type FinishReason = string;
  * Safety setting, affecting the safety-blocking behavior.
  */
 @json
-class SafetyRating {
+export class SafetyRating {
   category!: HarmCategory;
   probability!: HarmProbability;
 }
@@ -466,15 +466,15 @@ export type HarmProbability = string;
  * Citation metadata that may be found on a {@link Candidate}.
  */
 @json
-class CitationMetadata {
+export class CitationMetadata {
   citationSources!: CitationSource[];
 }
 
 /**
  * A single citation source.
  */
 @json
-class CitationSource {
+export class CitationSource {
   /**
    * Start of segment of the response that is attributed to this source.
    */
@@ -505,7 +505,7 @@ class CitationSource {
  * @public
  */
 @json
-class PromptFeedback {
+export class PromptFeedback {
   blockReason!: BlockReason;
   safetyRatings!: SafetyRating[];
 }
@@ -536,7 +536,7 @@ export type BlockReason = string;
  * Metadata on the generation request's token usage.
  */
 @json
-class UsageMetadata {
+export class UsageMetadata {
   /**
    * Number of tokens in the prompt.
    */

src/models/meta/llama.ts

@@ -18,7 +18,7 @@ export class TextGenerationModel extends Model<
 
 
 @json
-class TextGenerationInput {
+export class TextGenerationInput {
   /**
    * The prompt text to pass to the model.
    * May contain special tokens to control the behavior of the model.
@@ -58,7 +58,7 @@ class TextGenerationInput {
 
 
 @json
-class TextGenerationOutput {
+export class TextGenerationOutput {
   /**
    * The generated text.
    */

src/models/openai/chat.ts

@@ -23,7 +23,7 @@ export class OpenAIChatModel extends Model<OpenAIChatInput, OpenAIChatOutput> {
  * The input object for the OpenAI Chat API.
  */
 @json
-class OpenAIChatInput {
+export class OpenAIChatInput {
   /**
    * The name of the model to use for the chat.
    * Must be the exact string expected by the model provider.
@@ -238,7 +238,7 @@ export type ServiceTier = string;
  * The output object for the OpenAI Chat API.
  */
 @json
-class OpenAIChatOutput {
+export class OpenAIChatOutput {
   /**
    * A unique identifier for the chat completion.
    */
@@ -317,7 +317,7 @@ export class ResponseFormat {
    * Additionally, if you need an array you must ask for an object that wraps the array,
    * because the model will not reliably produce arrays directly (ie., there is no `json_array` option).
    */
-  static Json: ResponseFormat = { type: "json_object" };
+  static Json: ResponseFormat = { type: "json_object", jsonSchema: null };
 
   /**
    * Enables Structured Outputs which guarantees the model will match your supplied JSON schema.
@@ -339,7 +339,7 @@ export class ResponseFormat {
    * @remarks
    * This is the default response format.
    */
-  static Text: ResponseFormat = { type: "text" };
+  static Text: ResponseFormat = { type: "text", jsonSchema: null };
 }
 
 // @json
@@ -459,7 +459,7 @@ export class FunctionCall {
  * The usage statistics for the request.
  */
 @json
-class Usage {
+export class Usage {
   /**
    * The number of completion tokens used in the response.
    */
@@ -483,7 +483,7 @@ class Usage {
  * A completion choice object returned in the response.
  */
 @json
-class Choice {
+export class Choice {
   /**
    * The reason the model stopped generating tokens.
    *
@@ -516,7 +516,7 @@ class Choice {
  * Log probability information for a choice.
  */
 @json
-class Logprobs {
+export class Logprobs {
   /**
    * A list of message content tokens with log probability information.
    */
@@ -527,7 +527,7 @@ class Logprobs {
  * Log probability information for a message content token.
  */
 @json
-class LogprobsContent {
+export class LogprobsContent {
   /**
    * The token.
    */
@@ -560,7 +560,7 @@ class LogprobsContent {
  * Log probability information for the most likely tokens at a given position.
  */
 @json
-class TopLogprobsContent {
+export class TopLogprobsContent {
   /**
    * The token.
    */
@@ -713,7 +713,7 @@ export class ToolMessage extends Message {
  * A chat completion message generated by the model.
  */
 @json
-class CompletionMessage extends Message {
+export class CompletionMessage extends Message {
   /**
    * Creates a new completion message object.
    *

src/models/openai/embeddings.ts

@@ -56,7 +56,7 @@ export class OpenAIEmbeddingsModel extends Model<
  * The input object for the OpenAI Embeddings API.
  */
 @json
-class OpenAIEmbeddingsInput {
+export class OpenAIEmbeddingsInput {
   /**
    * The name of the model to use for the embeddings.
    * Must be the exact string expected by the model provider.
@@ -100,7 +100,7 @@ class OpenAIEmbeddingsInput {
  * The input object for the OpenAI Embeddings API.
  */
 @json
-class TypedEmbeddingsInput<T> extends OpenAIEmbeddingsInput {
+export class TypedEmbeddingsInput<T> extends OpenAIEmbeddingsInput {
   /**
    * The input content to vectorize.
    */
@@ -111,7 +111,7 @@ class TypedEmbeddingsInput<T> extends OpenAIEmbeddingsInput {
  * The output object for the OpenAI Embeddings API.
  */
 @json
-class OpenAIEmbeddingsOutput {
+export class OpenAIEmbeddingsOutput {
   /**
    * The name of the output object type returned by the API.
    * Always `"list"`.
@@ -160,7 +160,7 @@ export type EncodingFormat = string;
  * The output vector embeddings data.
  */
 @json
-class Embedding {
+export class Embedding {
   /**
    * The name of the output object type returned by the API.
    * Always `"embedding"`.
@@ -172,14 +172,18 @@ class Embedding {
    * Used when requesting embeddings for multiple texts.
    */
   index!: i32;
+
+  /**
+   * The vector embedding of the input text.
+   */
   embedding!: f32[]; // TODO: support `f32[] | string` based on input encoding format
 }
 
 /**
  * The usage statistics for the request.
  */
 @json
-class Usage {
+export class Usage {
   /**
    * The number of prompt tokens used in the request.
    */