Edits history of script submission #5866 for ' Create embedding (openai)'

• nativets

  Ap­pro­ved version

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create embedding
   * Creates an embedding vector representing the input text.
   */
  export async function main(
    auth: Openai,
    body: {
      input: string | string[] | number[] | number[][];
      model:
        | string
        | (
            | "text-embedding-ada-002"
            | "text-embedding-3-small"
            | "text-embedding-3-large"
          );
      encoding_format?: "float" | "base64";
      dimensions?: number;
      user?: string;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/embeddings`);
  
    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 376 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create embedding
   * Creates an embedding vector representing the input text.
   */
  export async function main(
    auth: Openai,
    body: {
      input: string | string[] | number[] | number[][];
      model:
        | string
        | (
            | "text-embedding-ada-002"
            | "text-embedding-3-small"
            | "text-embedding-3-large"
          );
      encoding_format?: "float" | "base64";
      dimensions?: number;
      user?: string;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/embeddings`);
  
    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 840 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  /**
   * Create embedding
   * Creates an embedding vector representing the input text.
   */
  export async function main(
    auth: Openai,
    body: {
      input: string | string[] | number[] | number[][];
      model: string | "text-embedding-ada-002";
      encoding_format?: "float" | "base64";
      user?: string;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/embeddings`);
  
    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 899 days ago