Skyvern observability

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Overview

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Quickstart

from skyvern import Skyvern
import asyncio
from lmnr import Laminar
from dotenv import load_dotenv

load_dotenv()

# Initialize Laminar
# This will automatically trace all Skyvern functions
Laminar.initialize()

skyvern = Skyvern()

async def main():
    task = await skyvern.run_task(
        prompt="go to lmnr.ai, summarize the pricing page."
    )
    print(task)

if __name__ == "__main__":
    asyncio.run(main())

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View a Skyvern trace

• Browser Session Recording: Full video recording of the browser window synchronized with execution steps - immensely valuable for debugging failed workflows and evaluating automation quality
• LLM Interactions: All prompts sent to the language model and their responses
• Workflow Steps: Sequential execution of tasks and their outcomes
• Performance Metrics: Latency, token usage, and cost
• Image tracing: Browser screenshots that were sent to LLM for analysis
• Error Handling: Exceptions and errors that occurred during the execution

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