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Documentation Index

Fetch the complete documentation index at: https://docs.literalai.com/llms.txt

Use this file to discover all available pages before exploring further.

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Thread

class Thread(Utils)

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Using the with statement

If you prefer to have more flexibility in logging Threads, you can use the with statement. You can create a thread and execute code within it using the with statement: 
with literalai_client.thread() as thread:
    # do something
You can also continue a thread by passing the thread id to the thread method: 

previous_thread_id = "UUID"

with literalai_client.thread(thread_id=previous_thread_id) as thread:
    # do something

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Using the Literal AI API client

You can also create Threads using the literalai_client.api.create_thread() method. 
thread = literalai_client.api.create_thread(
    participant_id="<PARTICIPANT_UUID>",
    environment="production",
    tags=["tag1", "tag2"],
    metadata={"key": "value"},
)

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Using Chainlit

If you built your LLM application with Chainlit, you don’t need to specify Threads in your code. Chainlit logs Threads for you by default.