Scientific Writer Agent

Removed in PraisonAI PR #1641 — ScientificWriterAgent / CAJAL integration was reverted. This page is kept for historical reference only; do not use in new projects.

Scientific Writer Agent created LaTeX-formatted academic papers using the CAJAL local model (no longer available in current releases).

# Removed — do not use in new projects (see Warning above)
# from praisonaiagents import ScientificWriterAgent
# agent = ScientificWriterAgent()
# paper = agent.write_paper("Machine Learning in Healthcare")

The user requested a LaTeX paper topic; the removed Scientific Writer agent drafted academic output via CAJAL (historical only).

Quick Start

Simple Usage

# Historical API — removed in PR #1641
from praisonaiagents import ScientificWriterAgent

agent = ScientificWriterAgent()
paper = agent.write_paper("Machine Learning in Healthcare")

print(f"Title: {paper.title}")
print(f"Sections: {len(paper.sections)}")

With Configuration

from praisonaiagents import ScientificWriterAgent

agent = ScientificWriterAgent(
    model="Agnuxo/CAJAL-4B-P2PCLAW"
)

paper = agent.write_paper(
    "Quantum Computing Applications",
    style="research",
    citation_style="IEEE",
)

CAJAL was a 2GB local model. Required: pip install transformers torch

How It Works

Method	Purpose	Output
`write_paper()`	Full paper generation	Complete `ScientificPaper`
`write_section()`	Single section creation	Individual `PaperSection`
`review_and_cite()`	Literature review with citations	Formatted citation text

Choosing the Right Method

Common Patterns

Single Section Generation

from praisonaiagents import ScientificWriterAgent

agent = ScientificWriterAgent()
section = agent.write_section(
    section_title="Methodology",
    content_request="Machine learning approach for medical diagnosis",
    context="Previous work on CNN architectures"
)

print(section.title)
print(section.content)
print(section.latex_content)

Adding Citations to Existing Content

from praisonaiagents import ScientificWriterAgent

agent = ScientificWriterAgent()
draft = "Machine learning shows promise in healthcare applications."

cited_content = agent.review_and_cite(
    research_query="machine learning healthcare applications",
    existing_content=draft
)
print(cited_content)

Multi-Agent Workflow

from praisonaiagents import Agent, AgentTeam, Task, ScientificWriterAgent

# Create specialized research agents
literature_reviewer = Agent(
    name="Literature Reviewer",
    instructions="Find and analyze academic papers on the topic"
)

methodology_designer = Agent(
    name="Methodology Designer", 
    instructions="Design experimental methodology and approaches"
)

scientific_writer = ScientificWriterAgent(
    model="Agnuxo/CAJAL-4B-P2PCLAW"
)

# Create research workflow
team = AgentTeam(agents=[literature_reviewer, methodology_designer, scientific_writer])

tasks = [
    Task(
        description="Review literature on quantum computing in cryptography",
        agent=literature_reviewer
    ),
    Task(
        description="Design methodology for quantum key distribution analysis", 
        agent=methodology_designer
    ),
    Task(
        description="Write complete academic paper based on research",
        agent=scientific_writer
    )
]

result = team.run(tasks=tasks)

Configuration Options