logyca-ai 0.1.0

An integration package created by the company LOGYCA to interact with ChatGPT and analyze documents, files and other functionality of the OpenAI library.

LOGYCA public libraries

---

About us

• LOGYCA Company
• LOGYCA Youtube Channel
• 
• 
• 

---

LOGYCA public libraries: To interact with ChatGPT and analyze documents, files and other functionality of the OpenAI library.

Source code | Package (PyPI) | Samples

To interact with the examples, keep the following in mind

FastAPI example. Through Swagger, you can:

• https://github.com/logyca/python-libraries/tree/main/logyca-ai/samples/fastapi_async
• Use the example endpoints to obtain the input schemas for the post method and interact with the available parameters.
• Endpoint publishing is asynchronous of openai SDK.
• The model used is ChatGPT-4o for testing.

Script example. Through of code, you can:

• https://github.com/logyca/python-libraries/tree/main/logyca-ai/samples/script_app_sync
• Examples shared with the example written in FastAPI.
• The examples use synchronous functionality of openai SDK.
• The model used is ChatGPT-4o for testing.

---

Example for simple conversation.

{
  "system": "Voy a definirte tu personalidad, contexto y proposito.\nActua como un experto en venta de frutas.\nSe muy positivo.\nTrata a las personas de usted, nunca tutees sin importar como te escriban.",
  "messages": [
    {
      "additional_content": "",
      "type": "text",
      "user": "Dime 5 frutas amarillas"
    },
    {
      "assistant": "\n¡Claro! Aquí te van 5 frutas amarillas:\n\n1. Plátano\n2. Piña\n3. Mango\n4. Melón\n5. Papaya\n"
    },
    {
      "additional_content": "",
      "type": "text",
      "user": "Dame los nombres en ingles."
    }
  ]
}

---

Example for image conversation.

Using public published URL for image

{
  "system": "Actua como una maquina lectora de imagenes.\nDevuelve la información sin lenguaje natural, sólo responde lo que se está solicitando.\nEl dispositivo que va a interactuar contigo es una api, y necesita la información sin markdown u otros caracteres especiales.",
  "messages": [
    {
      "additional_content": {
        "base64_content_or_url": "https://raw.githubusercontent.com/logyca/python-libraries/3d91b5a93fb1219804753ce233fabd5f635662d3/logyca-ai/logyca_ai/assets_for_examples/file_or_documents/image.png",
        "image_format": "image_url",
        "image_resolution": "auto"
      },
      "type": "image_url",
      "user": "Extrae el texto que recibas en la imagen y devuelvelo en formato json."
    }
  ]
}

Using image content in base64

{
  "system": "Actua como una maquina lectora de imagenes.\nDevuelve la información sin lenguaje natural, sólo responde lo que se está solicitando.\nEl dispositivo que va a interactuar contigo es una api, y necesita la información sin markdown u otros caracteres especiales.",
  "messages": [
    {
      "additional_content": {
        "base64_content_or_url": "<base64 image png content>",
        "image_format": "png",
        "image_resolution": "auto"
      },
      "type": "image_base64",
      "user": "Extrae el texto que recibas en la imagen y devuelvelo en formato json."
    }
  ]
}

---

Example for pdf conversation.

Using public published URL for pdf

{
  "system": "No uses lenguaje natural para la respuesta.\nDame la información que puedas extraer de la imagen en formato JSON.\nSolo devuelve la información, no formatees con caracteres adicionales la respuesta.",
  "messages": [
    {
      "additional_content": {
        "base64_content_or_url": "https://raw.githubusercontent.com/logyca/python-libraries/3d91b5a93fb1219804753ce233fabd5f635662d3/logyca-ai/logyca_ai/assets_for_examples/file_or_documents/pdf.pdf",
        "pdf_format": "pdf_url"
      },
      "type": "pdf_url",
      "user": "Dame los siguientes datos: Expediente, radicación, Fecha, Numero de registro, Vigencia."
    }
  ]
}

Using pdf content in base64

{
  "system": "No uses lenguaje natural para la respuesta.\nDame la información que puedas extraer de la imagen en formato JSON.\nSolo devuelve la información, no formatees con caracteres adicionales la respuesta.",
  "messages": [
    {
      "additional_content": {
        "base64_content_or_url": "<base64 pdf content>",
        "pdf_format": "pdf"
      },
      "type": "pdf_base64",
      "user": "Dame los siguientes datos: Expediente, radicación, Fecha, Numero de registro, Vigencia."
    }
  ]
}

---

Semantic Versioning

logyca_ai < MAJOR >.< MINOR >.< PATCH >

• MAJOR: version when you make incompatible API changes
• MINOR: version when you add functionality in a backwards compatible manner
• PATCH: version when you make backwards compatible bug fixes

Definitions for releasing versions

• https://peps.python.org/pep-0440/

  • X.YaN (Alpha release): Identify and fix early-stage bugs. Not suitable for production use.
  • X.YbN (Beta release): Stabilize and refine features. Address reported bugs. Prepare for official release.
  • X.YrcN (Release candidate): Final version before official release. Assumes all major features are complete and stable. Recommended for testing in non-critical environments.
  • X.Y (Final release/Stable/Production): Completed, stable version ready for use in production. Full release for public use.

---

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Types of changes

• Added for new features.
• Changed for changes in existing functionality.
• Deprecated for soon-to-be removed features.
• Removed for now removed features.
• Fixed for any bug fixes.
• Security in case of vulnerabilities.

[0.0.1aX] - 2024-08-02

Added

• First tests using pypi.org in develop environment.

[0.1.0] - 2024-08-02

Added

• Completion of testing and launch into production.