Cohere

# export COHERE_API_KEY=your-api-key
from praisonaiagents import Agent

agent = Agent(
    instructions="You are a helpful assistant",
    llm="command-r-plus"
)
agent.start("Explain natural language processing")

# export COHERE_API_KEY=your-api-key
from praisonaiagents import Agent

def search_documents(query: str) -> str:
    """Search internal documents."""
    return f"Found documents related to: {query}"

agent = Agent(
    instructions="You are a document assistant",
    llm="command-r",
    tools=[search_documents]
)
agent.start("Find documents about machine learning")

# export COHERE_API_KEY=your-api-key
from praisonaiagents import Agent, Task, Agents

researcher = Agent(
    instructions="You research topics thoroughly",
    llm="command-r-plus"
)
writer = Agent(
    instructions="You write clear summaries",
    llm="command-r"
)

task1 = Task(description="Research NLP techniques", agent=researcher)
task2 = Task(description="Write a summary", agent=writer)

agents = Agents(agents=[researcher, writer], tasks=[task1, task2])
agents.start()

export COHERE_API_KEY=your-api-key

# Basic prompt
python -m praisonai "Explain AI" --llm command-r-plus

# Run agents.yaml
python -m praisonai

framework: praisonai
topic: NLP research
agents:
  researcher:
    role: NLP Researcher
    goal: Research language processing techniques
    instructions: You are an expert in NLP
    llm:
      model: command-r-plus
    tasks:
      research_task:
        description: Research the latest NLP techniques
        expected_output: Comprehensive NLP research report

  writer:
    role: Technical Writer
    goal: Create clear documentation
    instructions: You write clear technical content
    llm:
      model: command-r
    tasks:
      write_task:
        description: Write a summary of the research
        expected_output: Well-written technical summary