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LLM Tracing
Tracing FeaturesThreads (Chats, Conversations, etc.)

Threads

A “thread” on Confident AI is a group of one or more traces. This is useful for those building AI chatrooms, conversational agents, etc., where you wish to view entire conversations on Confident AI.

⚠️

It is traces that are grouped together, not spans.

Set Threads At Runtime

You can use the update_current_trace function to set the thread_id within traces, which Confident AI will use to group traces together:

from deepeval.tracing import observe, update_current_trace
import openai
 
@observe()
def llm_app(query: str):
    res = openai.ChatCompletion.create(
        model="gpt-4o",
        messages=[
            {"role": "user", "content": query}
        ]
    ).choices[0].message["content"]
 
    update_current_trace(thread_id="your-thread-id", input=query, output=query)
    return res
 
llm_app("Write me a poem.")

The thread_id can be any string, and the input and output is optional and simply gives you more control on what is displayed on the UI.

💡

If the I/O is not provided, it will be set to the default I/O values of the trace.

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