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does the transfer agent have context of the conver...
# ❓・ai-evy-support
j
@AI Evy does the transfer agent have context of the conversation?
a
Thanks for tagging me @Jep. I'll look through relevant sources and get back to you shortly.
### Answer Yes, when using Agent Transfer in Retell AI, the destination agent has access to the full conversation history. [(1) ]() This is one of the key advantages of Agent Transfer compared to traditional phone-based call transfers. According to the documentation, Agent Transfer offers "No Handoff Message Needed" because "the destination agent has access to the full conversation history, eliminating the need for adding hand-off messages or repeated customer questions." This means when you transfer from one AI agent to another using the Agent Transfer node, the receiving agent can immediately understand the context of what has already been discussed, without requiring the caller to repeat information. [(1) ]() [(2) ]()
​ To learn more, see the sources I considered: [[1] Agent Transfer Node](https://docs.retellai.com/build/conversation-flow/transfer-agent-node) [[2] How AI Voice Agents Are Perfecting the Warm Transfer: Bridging the Gap Between AI and Human Agents | Retell AI](https://www.retellai.com/blog/how-ai-voice-agents-are-perfecting-the-warm-transfer) ​
Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.
j
@AI Evy i'm talking about the Call Transfer Agent
a
Thanks for the follow-up, @Jep. I'll get back to you soon.
### Answer For the Call Transfer Node (which transfers to a human agent via phone) , yes, context can be shared when using warm transfer. [(1) ]() With warm transfer configured in the Call Transfer Node, you can provide context to the human agent through: - **Whisper message**: A message spoken privately to the transfer target (human agent) before connecting them to the original caller - **Three-way message**: A message spoken to both the transfer target and the original caller once the connection is established The warm transfer feature also includes human detection to ensure a person answers before connecting the call, and you can configure settings like on-hold music and agent detection timeout. Additionally, Retell AI's warm transfer architecture preserves conversation state throughout the call, capturing the caller's intent, information already gathered, and the current workflow stage. [(2) ]() [(3) ]() This context is then passed to the human agent so they can continue the conversation naturally rather than starting from scratch.
​ To learn more, see the sources I considered: [[1] Call Transfer Node](https://docs.retellai.com/build/conversation-flow/call-transfer-node) [[2] How AI Voice Agents Are Perfecting the Warm Transfer: Bridging the Gap Between AI and Human Agents | Retell AI](https://www.retellai.com/blog/how-ai-voice-agents-are-perfecting-the-warm-transfer) [[3] Can Voicebots Escalate Calls to Human Agents? Understanding AI Voice Escalation Workflows | Retell AI](https://www.retellai.com/blog/can-voicebots-escalate-calls-to-human-agents) ​
Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.