​
Overview

Update data in existing rows of an experiment dataset.

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Method Signature

# Synchronous
client.experiments.update_rows(
    experiment_id: str,
    updates: List[Dict[str, Any]]
) -> Dict[str, Any]

# Asynchronous
await client.experiments.update_rows(
    experiment_id: str,
    updates: List[Dict[str, Any]]
) -> Dict[str, Any]

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Parameters

​
experiment_id
string
required
The unique identifier of the experiment
​
updates
List[Dict[str, Any]]
required
List of row updates containing row_id and new data

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Returns

Returns a dictionary containing the updated experiment information.

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Example

from keywordsai import KeywordsAI

client = KeywordsAI(api_key="your-api-key")

# Update specific rows in experiment
updates = [
    {
        "row_id": "row_123",
        "input": "What is machine learning?",
        "expected_output": "ML is a subset of AI"
    },
    {
        "row_id": "row_456",
        "input": "Define neural networks",
        "expected_output": "Networks inspired by biological neurons"
    }
]

result = client.experiments.update_rows(
    experiment_id="exp_123",
    updates=updates
)

print(f"Updated {len(updates)} rows in experiment")

​
Error Handling

try:
    result = client.experiments.update_rows(
        experiment_id="exp_123",
        updates=updates
    )
except Exception as e:
    print(f"Error updating rows: {e}")