> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# 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**](../classes/Agent) class in the [**agent**](../modules/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
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def chat_with_context(message: str, context: 'ContextPack') -> str
```
## Parameters
User message/question
ContextPack from RAG.retrieve()
### Returns
Agent response with optional citations
## Usage
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
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`](../functions/AutoRagAgent-chat)
## Source
`praisonaiagents/agent/agent.py` at line 3167
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## Related Documentation