Skip to main content

​
chat_with_context

Method
This is a method of the Agent class in the agent module.
Chat with pre-retrieved context. This method allows AutoRagAgent or manual workflows to inject pre-retrieved context into the agent’s chat, enabling conditional retrieval without duplicating RAG logic.

​
Signature

def chat_with_context(message: str, context: 'ContextPack') -> str

​
Parameters

​
message
str
required
User message/question
​
context
ContextPack
required
ContextPack from RAG.retrieve()

​
Returns

​
Returns
str
Agent response with optional citations

​
Usage

from praisonaiagents import AutoRagAgent

    auto_rag = AutoRagAgent(agent=my_agent)
    result = auto_rag.chat("What are the key findings?")

    # Or manually:
    context_pack = rag.retrieve("What are the key findings?")
    response = agent.chat_with_context("What are the key findings?", context_pack)