Tags

A Tag object includes the tag’s key, and its value. You can use tags to add extra information to a trace or request.

client.tag(key: str, value: str, metadata: Dict, tag_type: str) -> Tag:

Arguments

string

required

string/numeric/boolean/object/array

required

object

string

The type of tag. Default tag types are tag, log, variable, and feedback.

Instructions

With a traced OpenAI client, after it is created:

client.tag (key="project", value="customer support")

Adding tags to a completed trace or completion

After a trace or completion has completed, you may want to add extra tags based on feedback collected later. To do this, store the trace_id and, for completions, the completion_id. Use the tag, log, or feedback functions to add tags, specifying trace_id and completion_id as needed.

from baserun import OpenAI, log, feedback

client = OpenAI(name="trace to be resumed")
completion = client.chat.completions.create(
    name="completion to be resumed",
    model="gpt-4o",
    messages=[{"role": "user", "content": "What are three activities to do in Paris?"}],
)

# Store these values
trace_id = client.trace_id
completion_id = completion.completion_id

# A few moments later...
log("Tagging resumed", trace_id=trace_id, completion_id=completion_id)
feedback("User satisfaction", 0.9, trace_id=trace_id, completion_id=completion_id)

Introduction

Prompt playground

Python SDK 2.0

Get started with SDK

Monitoring

Prompt templates

Evaluation

Testing

Datasets

Fine-tune

Integrations

Arguments

Instructions

Adding tags to a completed trace or completion

​Arguments

​Instructions

​Adding tags to a completed trace or completion

Arguments

Instructions

Adding tags to a completed trace or completion