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Update PraisonAI to version 2.0.52 and enhance repetitive agents functionality
- Bumped PraisonAI version from 2.0.51 to 2.0.52 in `Dockerfile`, `pyproject.toml`, and `uv.lock` to reflect the latest updates. - Updated the `praisonai.rb` formula to point to the new version's tarball. - Updated the `praisonaiagents` dependency version from `0.0.42` to `0.0.43` across relevant files for improved functionality. - Introduced new files for repetitive agents in `agents/repetitive-agents.py` and `examples/concepts/repetitive-agents.py`, enabling automated task loops. - Enhanced documentation with a new section on repetitive agents in `docs/features/repetitive.mdx` and updated `mint.json` to include the new feature. These changes improve the overall functionality and usability of the PraisonAI framework, particularly in handling repetitive tasks and enhancing agent capabilities.
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‎Dockerfile

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FROM python:3.11-slim
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WORKDIR /app
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COPY . .
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RUN pip install flask praisonai==2.0.51 gunicorn markdown
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RUN pip install flask praisonai==2.0.52 gunicorn markdown
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EXPOSE 8080
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CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

‎agents/loop_agents.py renamed to ‎agents/repetitive-agents.py

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‎docs/api/praisonai/deploy.html

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file.write(&#34;FROM python:3.11-slim\n&#34;)
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file.write(&#34;WORKDIR /app\n&#34;)
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file.write(&#34;COPY . .\n&#34;)
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file.write(&#34;RUN pip install flask praisonai==2.0.51 gunicorn markdown\n&#34;)
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file.write(&#34;RUN pip install flask praisonai==2.0.52 gunicorn markdown\n&#34;)
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file.write(&#34;EXPOSE 8080\n&#34;)
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file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
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‎docs/features/repetitive.mdx

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---
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title: "Repetitive Agents"
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description: "Learn how to create AI agents that can efficiently handle repetitive tasks through automated loops."
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icon: "repeat"
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---
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```mermaid
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flowchart LR
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In[Input] --> LoopAgent[("Looping Agent")]
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LoopAgent --> Task[Task]
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Task --> |Next iteration| LoopAgent
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Task --> |Done| Out[Output]
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style In fill:#8B0000,color:#fff
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style LoopAgent fill:#2E8B57,color:#fff,shape:circle
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style Task fill:#2E8B57,color:#fff
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style Out fill:#8B0000,color:#fff
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```
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A workflow optimization pattern where agents handle repetitive tasks through automated loops, processing multiple instances efficiently while maintaining consistency.
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## Quick Start
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<Steps>
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<Step title="Install Package">
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First, install the PraisonAI Agents package:
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```bash
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pip install praisonaiagents
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```
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</Step>
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<Step title="Set API Key">
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Set your OpenAI API key as an environment variable in your terminal:
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```bash
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export OPENAI_API_KEY=your_api_key_here
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```
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</Step>
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<Step title="Create a file">
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Create a new file `repetitive_agent.py` with the basic setup:
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```python
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from praisonaiagents import Agent, Task, PraisonAIAgents
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agent = Agent(
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instructions="You are a loop agent that creating a loop of tasks."
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)
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task = Task(
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description="Create the list of tasks to be looped through.",
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agent=agent,
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task_type="loop",
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input_file="tasks.csv"
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)
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agents = PraisonAIAgents(
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agents=[agent],
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tasks=[task],
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process="workflow"
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)
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agents.start()
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```
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</Step>
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<Step title="Start Agents">
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Type this in your terminal to run your agents:
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```bash
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python repetitive_agent.py
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```
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</Step>
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</Steps>
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<Note>
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**Requirements**
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- Python 3.10 or higher
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- OpenAI API key. Generate OpenAI API key [here](https://platform.openai.com/api-keys). Use Other models using [this guide](/models).
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</Note>
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## Understanding Repetitive Agents
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<Card title="What are Repetitive Agents?" icon="question">
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Repetitive agents enable:
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- Automated task loops
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- Batch processing
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- Consistent task execution
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- Efficient handling of multiple similar tasks
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</Card>
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## Features
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<CardGroup cols={2}>
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<Card title="Task Looping" icon="repeat">
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Process multiple tasks through automated loops.
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</Card>
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<Card title="Batch Processing" icon="layer-group">
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Handle multiple similar tasks efficiently.
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</Card>
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<Card title="Input Management" icon="file-csv">
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Process tasks from structured input files.
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</Card>
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<Card title="Progress Tracking" icon="chart-line">
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Monitor task completion and progress.
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</Card>
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</CardGroup>
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## Troubleshooting
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<CardGroup cols={2}>
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<Card title="Loop Issues" icon="triangle-exclamation">
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If loops aren't working as expected:
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- Verify input file format
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- Check task configurations
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- Enable verbose mode for debugging
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</Card>
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<Card title="Performance Issues" icon="gauge-high">
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If processing is slow:
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- Check batch sizes
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- Verify resource allocation
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- Monitor memory usage
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</Card>
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</CardGroup>
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## Next Steps
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<CardGroup cols={2}>
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<Card title="AutoAgents" icon="robot" href="./autoagents">
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Learn about automatically created and managed AI agents
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</Card>
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<Card title="Mini Agents" icon="microchip" href="./mini">
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Explore lightweight, focused AI agents
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</Card>
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</CardGroup>
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<Note>
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For optimal results, ensure your input files are properly formatted and your task configurations are appropriate for your use case.
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</Note>

‎docs/mint.json

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"features/autonomous-workflow",
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"features/parallelisation",
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"features/promptchaining",
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"features/evaluator-optimiser"
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"features/evaluator-optimiser",
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"features/repetitive"
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]
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},
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{

‎examples/concepts/repetitive-agents.py

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from praisonaiagents import Agent, Task, PraisonAIAgents
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agent = Agent(
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instructions="You are a loop agent that creating a loop of tasks.",
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llm="gpt-4o-mini"
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)
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task = Task(
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description="Create the list of tasks to be looped through.",
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agent=agent,
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task_type="loop",
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input_file="tasks.csv"
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)
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agents = PraisonAIAgents(
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agents=[agent],
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tasks=[task],
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process="workflow"
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)
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agents.start()

‎praisonai.rb

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desc "AI tools for various AI applications"
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homepage "https://github.com/MervinPraison/PraisonAI"
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url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.51.tar.gz"
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url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.52.tar.gz"
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sha256 "1828fb9227d10f991522c3f24f061943a254b667196b40b1a3e4a54a8d30ce32" # Replace with actual SHA256 checksum
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license "MIT"
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‎praisonai/deploy.py

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file.write("FROM python:3.11-slim\n")
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file.write("WORKDIR /app\n")
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file.write("COPY . .\n")
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file.write("RUN pip install flask praisonai==2.0.51 gunicorn markdown\n")
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file.write("RUN pip install flask praisonai==2.0.52 gunicorn markdown\n")
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file.write("EXPOSE 8080\n")
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file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
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‎pyproject.toml

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[project]
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name = "PraisonAI"
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version = "2.0.51"
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version = "2.0.52"
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description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
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readme = "README.md"
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license = ""
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"rich>=13.7",
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"markdown>=3.5",
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"pyparsing>=3.0.0",
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"praisonaiagents>=0.0.42",
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"praisonaiagents>=0.0.43",
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"python-dotenv>=0.19.0",
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"instructor>=1.3.3",
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"PyYAML>=6.0",
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[tool.poetry]
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name = "PraisonAI"
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version = "2.0.51"
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version = "2.0.52"
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description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human–agent collaboration."
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authors = ["Mervin Praison"]
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license = ""
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rich = ">=13.7"
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markdown = ">=3.5"
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pyparsing = ">=3.0.0"
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praisonaiagents = ">=0.0.42"
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praisonaiagents = ">=0.0.43"
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python-dotenv = ">=0.19.0"
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instructor = ">=1.3.3"
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PyYAML = ">=6.0"

‎uv.lock

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