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@samchon/openapi

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Universal OpenAPI to LLM function calling schemas. Transform any Swagger/OpenAPI document into type-safe schemas for OpenAI, Claude, Qwen, and more.

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import { OpenApi } from "../OpenApi"; import { IHttpMigrateRoute } from "./IHttpMigrateRoute"; import { ILlmSchema } from "./ILlmSchema"; import { IValidation } from "./IValidation"; /** * LLM function calling schema from HTTP (OpenAPI) operation. * * `IHttpLlmFunction` is a data structure representing a function converted from * the {@link OpenApi.IOperation OpenAPI operation}, used for the LLM (Large * Language Model) function calling. It's a typical RPC (Remote Procedure Call) * structure containing the function {@link name}, {@link parameters}, and * {@link output return type}. * * If you provide this `IHttpLlmFunction` data to the LLM provider like * "OpenAI", the "OpenAI" will compose a function arguments by analyzing * conversations with the user. With the LLM composed arguments, you can execute * the function through {@link LlmFetcher.execute} and get the result. * * For reference, different between `IHttpLlmFunction` and its origin source * {@link OpenApi.IOperation} is, `IHttpLlmFunction` has converted every type * schema information from {@link OpenApi.IJsonSchema} to {@link ILlmSchema}. * * Additionally, the properties' rule is: * * - `pathParameters`: Path parameters of {@link OpenApi.IOperation.parameters} * - `query`: Query parameter of {@link IHttpMigrateRoute.query} * - `body`: Body parameter of {@link IHttpMigrateRoute.body} * * ```typescript * { * ...pathParameters, * query, * body, * } * ``` * * @author Jeongho Nam - https://github.com/samchon * @reference https://platform.openai.com/docs/guides/function-calling */ export interface IHttpLlmFunction { /** HTTP method of the endpoint. */ method: "get" | "post" | "patch" | "put" | "delete"; /** Path of the endpoint. */ path: string; /** * Representative name of the function. * * The `name` is a representative name identifying the function in the * {@link IHttpLlmApplication}. The `name` value is just composed by joining * the {@link IHttpMigrateRoute.accessor} by underscore `_` character. * * Here is the composition rule of the {@link IHttpMigrateRoute.accessor}: * * > The `accessor` is composed with the following rules. At first, namespaces * > are composed by static directory names in the {@link path}. Parametric * > symbols represented by `:param` or `{param}` cannot be a part of the * > namespace. * * > Instead, they would be a part of the function name. The function name is * > composed with the {@link method HTTP method} and parametric symbols like * > `getByParam` or `postByParam`. If there are multiple path parameters, they * > would be concatenated by `And` like `getByParam1AndParam2`. * * > For reference, if the {@link operation}'s {@link method} is `delete`, the * > function name would be replaced to `erase` instead of `delete`. It is the * > reason why the `delete` is a reserved keyword in many programming * > languages. * * > - Example 1 * * > - Path: `POST /shopping/sellers/sales` * > - Accessor: `shopping.sellers.sales.post` * > - Example 2 * * > - Endpoint: `GET * > /shoppings/sellers/sales/:saleId/reviews/:reviewId/comments/:id` * > - Accessor: * > `shoppings.sellers.sales.reviews.getBySaleIdAndReviewIdAndCommentId` * * @maxLength 64 */ name: string; /** * List of parameter types. * * If you've configured {@link IHttpLlmApplication.IConfig.keyword} as `true`, * number of {@link IHttpLlmFunction.parameters} are always 1 and the first * parameter's type is always {@link ILlmSchema.IObject}. The properties' * rule is: * * - `pathParameters`: Path parameters of {@link IHttpMigrateRoute.parameters} * - `query`: Query parameter of {@link IHttpMigrateRoute.query} * - `body`: Body parameter of {@link IHttpMigrateRoute.body} * * ```typescript * { * ...pathParameters, * query, * body, * } * ``` * * Otherwise, the parameters would be multiple, and the sequence of the * parameters are following below rules: * * ```typescript * [ * ...pathParameters, * ...(query ? [query] : []), * ...(body ? [body] : []), * ]; * ``` */ parameters: ILlmSchema.IParameters; /** * Collection of separated parameters. * * Filled only when {@link IHttpLlmApplication.IConfig.separate} is configured. */ separated?: IHttpLlmFunction.ISeparated; /** * Expected return type. * * If the target operation returns nothing (`void`), the `output` would be * `undefined`. */ output?: ILlmSchema | undefined; /** * Description of the function. * * `IHttpLlmFunction.description` is composed using the following rules: * * 1. Starts with the {@link OpenApi.IOperation.summary} paragraph * 2. The next paragraphs are filled with the * {@link OpenApi.IOperation.description}. If the first paragraph of * {@link OpenApi.IOperation.description} matches the * {@link OpenApi.IOperation.summary}, it is not duplicated * 3. Parameter descriptions are added with `@param` tags * 4. {@link OpenApi.IOperation.security Security requirements} are added with * `@security` tags * 5. Tag names are added with `@tag` tags * 6. If {@link OpenApi.IOperation.deprecated}, a `@deprecated` tag is added * * For reference, the `description` is a critical property for teaching the * purpose of the function to LLMs (Large Language Models). LLMs use this * description to determine which function to call. * * Also, when the LLM converses with users, the `description` explains the * function to the user. Therefore, the `description` property has the highest * priority and should be carefully considered. */ description?: string | undefined; /** * Whether the function is deprecated or not. * * If the `deprecated` is `true`, the function is not recommended to use. * * LLM (Large Language Model) may not use the deprecated function. */ deprecated?: boolean | undefined; /** * Category tags for the function. * * Same with {@link OpenApi.IOperation.tags} indicating the category of the * function. */ tags?: string[]; /** * Validate function for the arguments. * * You know what? LLMs (Large Language Models) like OpenAI frequently make * mistakes when composing arguments for function calling. Even with simple * types like `number` defined in the {@link parameters} schema, LLMs often * provide a `string` typed value instead. * * In such cases, you should provide validation feedback to the LLM using this * `validate` function. The `validate` function returns detailed information * about type errors in the arguments. * * Based on my experience, OpenAI's `gpt-4o-mini` model tends to construct * invalid function calling arguments about 50% of the time on the first * attempt. However, when corrected through this `validate` function, the * success rate jumps to 99% on the second attempt, and I've never seen a * failure on the third attempt. * * > If you have {@link separated} parameters, use the * > {@link IHttpLlmFunction.ISeparated.validate} function instead when * > validating LLM-composed arguments. * * > In that case, this `validate` function is meaningful only after you've * > merged the LLM and human composed arguments using the * > {@link HttpLlm.mergeParameters} function. * * @param args Arguments to validate * @returns Validation result */ validate: (args: unknown) => IValidation<unknown>; /** * Get the Swagger operation metadata. * * Get the Swagger operation metadata, of the source. * * @returns Swagger operation metadata. */ operation: () => OpenApi.IOperation; /** * Get the migration route metadata. * * Get the migration route metadata, of the source. * * @returns Migration route metadata. */ route: () => IHttpMigrateRoute; } export declare namespace IHttpLlmFunction { /** Collection of separated parameters. */ interface ISeparated { /** * Parameters that would be composed by the LLM. * * Even though no property exists in the LLM side, the `llm` property would * have at least empty object type. */ llm: ILlmSchema.IParameters; /** Parameters that would be composed by the human. */ human: ILlmSchema.IParameters | null; /** * Validate function for separated arguments. * * If the LLM part of separated parameters has properties, this `validate` * function validates the {@link llm} type. * * > You know what? LLMs (Large Language Models) like OpenAI frequently make * > mistakes when composing arguments for function calling. Even with simple * > types like `number` defined in the {@link parameters} schema, LLMs often * > provide a `string` typed value instead. * * > In such cases, you should provide validation feedback to the LLM using * > this `validate` function. The `validate` function returns detailed * > information about type errors in the arguments. * * > Based on my experience, OpenAI's `gpt-4o-mini` model tends to construct * > invalid function calling arguments about 50% of the time on the first * > attempt. However, when corrected through this `validate` function, the * > success rate jumps to 99% on the second attempt, and I've never seen a * > failure on the third attempt. * * @param args Arguments to validate * @returns Validation result */ validate?: ((args: unknown) => IValidation<unknown>) | undefined; } }