Feedback data format

Before diving into this content, it might be helpful to read the following:

• Conceptual guide on tracing and feedback

Feedback is LangSmith’s way of storing the criteria and scores from evaluation on a particular trace or intermediate run (span). Feedback can be produced from a variety of ways, such as:

1. Sent up along with a trace from the LLM application
2. Generated by a user in the app inline or in an annotation queue
3. Generated by an automatic evaluator during offline evaluation
4. Generated by an online evaluator

Feedback is stored in a simple format with the following fields:

Field Name	Type	Description
id	UUID	Unique identifier for the record itself
created_at	datetime	Timestamp when the record was created
modified_at	datetime	Timestamp when the record was last modified
session_id	UUID	Unique identifier for the experiment or tracing project the run was a part of
run_id	UUID	Unique identifier for a specific run within a session
key	string	A key describing the criteria of the feedback, e.g. 'correctness'
score	number	Numerical score associated with the feedback key
value	string	Reserved for storing a value associated with the score. Useful for categorical feedback.
comment	string	Any comment or annotation associated with the record. This can be a justification for the score given.
correction	object	Reserved for storing correction details, if any
feedback_source	object	Object containing information about the feedback source
feedback_source.type	string	The type of source where the feedback originated, e.g. 'api', 'app', 'evaluator'
feedback_source.metadata	object	Reserved for additional metadata, currently
feedback_source.user_id	UUID	Unique identifier for the user providing feedback

Here is an example JSON representation of a feedback record in the above format:

{
  "created_at": "2024-05-05T23:23:11.077838",
  "modified_at": "2024-05-05T23:23:11.232962",
  "session_id": "c919298b-0af2-4517-97a2-0f98ed4a48f8",
  "run_id": "e26174e5-2190-4566-b970-7c3d9a621baa",
  "key": "correctness",
  "score": 1.0,
  "value": null,
  "comment": "I gave this score because the answer was correct.",
  "correction": null,
  "id": "62104630-c7f5-41dc-8ee2-0acee5c14224",
  "feedback_source": {
    "type": "app",
    "metadata": null,
    "user_id": "ad52b092-1346-42f4-a934-6e5521562fab"
  }
}

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