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Reportai

Reportai is an open-source Python tool that converts structured conversations with AI models into PDF research reports featuring an executive summary, formatted sections, tables and figures. It describes deduplication of repeated content and configurable OpenAI GPT or Anthropic Claude models.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Reportai — OpenViST project profile in AI Developer Tools & SDKs.
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Understand the project

Practical overview

When it fits

Use it when conversation content is ready and the next task is producing a structured PDF report. The repository's example code is the documented starting point for report generation.

Who it is for

  • Developers building report-generation workflows from AI conversations
  • Teams that want to format model-generated material as research or internal reports

Documented uses

  • Convert structured AI conversations into PDF reports.
  • Organize conversation content into an executive summary and formatted sections.
  • Include tables and figures in a generated report.
  • Configure report generation to use a listed GPT or Claude model.
Before you choose

Requirements & limits

The project is publicly available on GitHub under the Apache 2.0 license. Setup requires Python 3.10 or later to run without code changes, installed dependencies and a provider API key for the selected model.

  • The input is expected to be a structured conversation, not an arbitrary research prompt.
  • The README documents GPT and Claude model choices and corresponding environment-variable configuration.
  • The described PDF length is around 9–15 pages and depends on the number of messages.
  • Report generation is shown through the repository's main.py example; the README does not give a complete standalone command.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Reportai for a model provider

Prepare the Python project and configure an OpenAI GPT or Anthropic Claude model.

Before you start

  • Python 3.10 or later to run without code changes
  • Git and pip
  • An API key for the provider you choose

Steps

  1. Clone the repository and change into its directory.

  2. Install dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  3. Create a .env file inside report_ai and set the relevant provider API key, LLM choice (gpt or claude), and a supported model name.

  4. Refer to main.py for the documented example of report generation from conversations.

Expected outcome

The project and provider configuration are prepared; the README points to `main.py` for the next stage of using conversations to generate reports.

Guide limitations

  • The setup instructions do not document the full contents of main.py or a complete report-generation command.
  • The README's listed model values are GPT: gpt-3.5-turbo, gpt-4-turbo, gpt-4o; Claude: claude-3-haiku, claude-3-opus.
  • An API key for the selected provider is required by the documented configuration.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
AdirthaBorgohain/reportAI · Official homepage title · retained in its source language
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