Chat With Context • AI Agent SDK

chat_with_context: Chat with pre-retrieved context.

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)

Uses

• chat

Used By

• AutoRagAgent.chat

Source

View on GitHub

praisonaiagents/agent/agent.py at line 3167

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Related Documentation

Context Concept

Context Management

Context Strategies

Chat Feature

Conversation Stores