Edits history of script submission #5830 for ' Create chat completion (openai)'

• nativets

  Ap­pro­ved version

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create chat completion
   * Creates a model response for the given chat conversation.
   */
  export async function main(
    auth: Openai,
    body: {
      messages: (
        | { content: string; role: "system"; name?: string; [k: string]: unknown }
        | {
            content:
              | string
              | (
                  | { type: "text"; text: string; [k: string]: unknown }
                  | {
                      type: "image_url";
                      image_url: {
                        url: string;
                        detail?: "auto" | "low" | "high";
                        [k: string]: unknown;
                      };
                      [k: string]: unknown;
                    }
                )[];
            role: "user";
            name?: string;
            [k: string]: unknown;
          }
        | {
            content?: string;
            role: "assistant";
            name?: string;
            tool_calls?: {
              id: string;
              type: "function";
              function: { name: string; arguments: string; [k: string]: unknown };
              [k: string]: unknown;
            }[];
            function_call?: {
              arguments: string;
              name: string;
              [k: string]: unknown;
            };
            [k: string]: unknown;
          }
        | {
            role: "tool";
            content: string;
            tool_call_id: string;
            [k: string]: unknown;
          }
        | {
            role: "function";
            content: string;
            name: string;
            [k: string]: unknown;
          }
      )[];
      model:
        | string
        | (
            | "gpt-4-0125-preview"
            | "gpt-4-turbo-preview"
            | "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-1106"
            | "gpt-3.5-turbo-0125"
            | "gpt-3.5-turbo-16k-0613"
          );
      frequency_penalty?: number;
      logit_bias?: { [k: string]: number };
      logprobs?: boolean;
      top_logprobs?: number;
      max_tokens?: number;
      n?: number;
      presence_penalty?: number;
      response_format?: { type?: "text" | "json_object"; [k: string]: unknown };
      seed?: number;
      stop?: string | string[];
      stream?: boolean;
      temperature?: number;
      top_p?: number;
      tools?: {
        type: "function";
        function: {
          description?: string;
          name: string;
          parameters?: { [k: string]: unknown };
          [k: string]: unknown;
        };
        [k: string]: unknown;
      }[];
      tool_choice?:
        | ("none" | "auto")
        | {
            type: "function";
            function: { name: string; [k: string]: unknown };
            [k: string]: unknown;
          };
      user?: string;
      function_call?: ("none" | "auto") | { name: string; [k: string]: unknown };
      functions?: {
        description?: string;
        name: string;
        parameters?: { [k: string]: unknown };
        [k: string]: unknown;
      }[];
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/chat/completions`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 392 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create chat completion
   * Creates a model response for the given chat conversation.
   */
  export async function main(
    auth: Openai,
    body: {
      messages: (
        | { content: string; role: "system"; name?: string; [k: string]: unknown }
        | {
            content:
              | string
              | (
                  | { type: "text"; text: string; [k: string]: unknown }
                  | {
                      type: "image_url";
                      image_url: {
                        url: string;
                        detail?: "auto" | "low" | "high";
                        [k: string]: unknown;
                      };
                      [k: string]: unknown;
                    }
                )[];
            role: "user";
            name?: string;
            [k: string]: unknown;
          }
        | {
            content?: string;
            role: "assistant";
            name?: string;
            tool_calls?: {
              id: string;
              type: "function";
              function: { name: string; arguments: string; [k: string]: unknown };
              [k: string]: unknown;
            }[];
            function_call?: {
              arguments: string;
              name: string;
              [k: string]: unknown;
            };
            [k: string]: unknown;
          }
        | {
            role: "tool";
            content: string;
            tool_call_id: string;
            [k: string]: unknown;
          }
        | {
            role: "function";
            content: string;
            name: string;
            [k: string]: unknown;
          }
      )[];
      model:
        | string
        | (
            | "gpt-4-0125-preview"
            | "gpt-4-turbo-preview"
            | "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-1106"
            | "gpt-3.5-turbo-0125"
            | "gpt-3.5-turbo-16k-0613"
          );
      frequency_penalty?: number;
      logit_bias?: { [k: string]: number };
      logprobs?: boolean;
      top_logprobs?: number;
      max_tokens?: number;
      n?: number;
      presence_penalty?: number;
      response_format?: { type?: "text" | "json_object"; [k: string]: unknown };
      seed?: number;
      stop?: string | string[];
      stream?: boolean;
      temperature?: number;
      top_p?: number;
      tools?: {
        type: "function";
        function: {
          description?: string;
          name: string;
          parameters?: { [k: string]: unknown };
          [k: string]: unknown;
        };
        [k: string]: unknown;
      }[];
      tool_choice?:
        | ("none" | "auto")
        | {
            type: "function";
            function: { name: string; [k: string]: unknown };
            [k: string]: unknown;
          };
      user?: string;
      function_call?: ("none" | "auto") | { name: string; [k: string]: unknown };
      functions?: {
        description?: string;
        name: string;
        parameters?: { [k: string]: unknown };
        [k: string]: unknown;
      }[];
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/chat/completions`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 819 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create chat completion
   * Creates a model response for the given chat conversation.
   */
  export async function main(
    auth: Openai,
    body: {
      messages: (
        | { content: string; role: "system"; name?: string; [k: string]: unknown }
        | {
            content:
              | string
              | (
                  | { type: "text"; text: string; [k: string]: unknown }
                  | {
                      type: "image_url";
                      image_url: {
                        url: string;
                        detail?: "auto" | "low" | "high";
                        [k: string]: unknown;
                      };
                      [k: string]: unknown;
                    }
                )[];
            role: "user";
            name?: string;
            [k: string]: unknown;
          }
        | {
            content?: string;
            role: "assistant";
            name?: string;
            tool_calls?: {
              id: string;
              type: "function";
              function: { name: string; arguments: string; [k: string]: unknown };
              [k: string]: unknown;
            }[];
            function_call?: {
              arguments: string;
              name: string;
              [k: string]: unknown;
            };
            [k: string]: unknown;
          }
        | {
            role: "tool";
            content: string;
            tool_call_id: string;
            [k: string]: unknown;
          }
        | {
            role: "function";
            content: string;
            name: string;
            [k: string]: unknown;
          }
      )[];
      model:
        | string
        | (
            | "gpt-4-0125-preview"
            | "gpt-4-turbo-preview"
            | "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-1106"
            | "gpt-3.5-turbo-16k-0613"
          );
      frequency_penalty?: number;
      logit_bias?: { [k: string]: number };
      logprobs?: boolean;
      top_logprobs?: number;
      max_tokens?: number;
      n?: number;
      presence_penalty?: number;
      response_format?: { type?: "text" | "json_object"; [k: string]: unknown };
      seed?: number;
      stop?: string | string[];
      stream?: boolean;
      temperature?: number;
      top_p?: number;
      tools?: {
        type: "function";
        function: {
          description?: string;
          name: string;
          parameters?: { [k: string]: unknown };
          [k: string]: unknown;
        };
        [k: string]: unknown;
      }[];
      tool_choice?:
        | ("none" | "auto")
        | {
            type: "function";
            function: { name: string; [k: string]: unknown };
            [k: string]: unknown;
          };
      user?: string;
      function_call?: ("none" | "auto") | { name: string; [k: string]: unknown };
      functions?: {
        description?: string;
        name: string;
        parameters?: { [k: string]: unknown };
        [k: string]: unknown;
      }[];
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/chat/completions`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 855 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create chat completion
   * Creates a model response for the given chat conversation.
   */
  export async function main(
    auth: Openai,
    body: {
      messages: (
        | { content: string; role: "system"; name?: string; [k: string]: unknown }
        | {
            content:
              | string
              | (
                  | { type: "text"; text: string; [k: string]: unknown }
                  | {
                      type: "image_url";
                      image_url: {
                        url: string;
                        detail?: "auto" | "low" | "high";
                        [k: string]: unknown;
                      };
                      [k: string]: unknown;
                    }
                )[];
            role: "user";
            name?: string;
            [k: string]: unknown;
          }
        | {
            content: string;
            role: "assistant";
            name?: string;
            tool_calls?: {
              id: string;
              type: "function";
              function: { name: string; arguments: string; [k: string]: unknown };
              [k: string]: unknown;
            }[];
            function_call?: {
              arguments: string;
              name: string;
              [k: string]: unknown;
            };
            [k: string]: unknown;
          }
        | {
            role: "tool";
            content: string;
            tool_call_id: string;
            [k: string]: unknown;
          }
        | {
            role: "function";
            arguments: string;
            name?: string;
            [k: string]: unknown;
          }
      )[];
      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-1106"
            | "gpt-3.5-turbo-16k-0613"
          );
      frequency_penalty?: number;
      logit_bias?: { [k: string]: number };
      max_tokens?: number & string;
      n?: number;
      presence_penalty?: number;
      response_format?: { type?: "text" | "json_object"; [k: string]: unknown };
      seed?: number;
      stop?: string | string[];
      stream?: boolean;
      temperature?: number;
      top_p?: number;
      tools?: {
        type: "function";
        function: {
          description?: string;
          name: string;
          parameters: { [k: string]: unknown };
          [k: string]: unknown;
        };
        [k: string]: unknown;
      }[];
      tool_choice?:
        | ("none" | "auto")
        | {
            type?: "function";
            function?: { name: string; [k: string]: unknown };
            [k: string]: unknown;
          };
      user?: string;
      function_call?: ("none" | "auto") | { name: string; [k: string]: unknown };
      functions?: {
        description?: string;
        name: string;
        parameters: { [k: string]: unknown };
        [k: string]: unknown;
      }[];
      [k: string]: unknown;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/chat/completions`);
  
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        "Content-Type": "application/json",
        Authorization: "Bearer " + auth.api_key,
      },
      body: JSON.stringify(body),
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 915 days ago