Sessions

Track and analyze multi-turn conversations

Sessions enable tracking and organizing related traces across multi-turn conversations with your AI application. When building conversational AI, maintaining context between interactions is critical - Sessions make this possible from an observability perspective.

With Sessions in Phoenix, you can:

Track the entire history of a conversation in a single thread
View conversations in a chatbot-like UI showing inputs and outputs of each turn
Search through sessions to find specific interactions
Track token usage and latency per conversation

This feature is particularly valuable for applications where context builds over time, like chatbots, virtual assistants, or any other multi-turn interaction. By tagging spans with a consistent session ID, you create a connected view that reveals how your application performs across an entire user journey.

Next Steps

Check out how to Setup Sessions

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Last updated 6 days ago

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Sessions enable tracking and organizing related traces across multi-turn conversations with your AI application. When building conversational AI, maintaining context between interactions is critical - Sessions make this possible from an observability perspective.

With Sessions in Phoenix, you can:

Track the entire history of a conversation in a single thread
View conversations in a chatbot-like UI showing inputs and outputs of each turn
Search through sessions to find specific interactions
Track token usage and latency per conversation

This feature is particularly valuable for applications where context builds over time, like chatbots, virtual assistants, or any other multi-turn interaction. By tagging spans with a consistent session ID, you create a connected view that reveals how your application performs across an entire user journey.

Next Steps

Check out how to Setup Sessions

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