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Python SDK

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Installation

pip install meibel

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Quick Start

from meibel import MeibelClient

# Initialize the client
client = MeibelClient(api_key="your-api-key")

# Make API calls
# ...

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Async Support

from meibel import AsyncMeibelClient
import asyncio

async def main():
    client = AsyncMeibelClient(api_key="your-api-key")
    # Make async API calls
    # ...
    await client.close()

asyncio.run(main())

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Configuration

client = MeibelClient(
    api_key="your-api-key",
    base_url="https://api.example.com",  # Custom base URL
    timeout=30.0,  # Request timeout in seconds
)

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Resources

• client.agents - Create, manage, and publish AI agents
• client.agents.sessions - Create, manage, and chat with agent sessions
• client.artifact_schemas - Define structured output schemas for agent artifacts
• client.batches - Create and manage batch processing definitions
• client.batches.executions - Run, monitor, and manage batch executions
• client.confidence_scoring - Track and analyze confidence scores
• client.datasources - Manage data source connections
• client.datasources.data_elements - Manage data elements within datasources
• client.datasources.downloads - Export datasources as downloadable files
• client.datasources.file_uploads - Upload and manage content files
• client.datasources.ingest - Trigger and monitor datasource ingestion
• client.datasources.tables - Manage table and column descriptions for AI context
• client.documents - Parse and transform documents into structured data
• client.execution_policies - Manage execution policies
• client.metadata_model_catalog - Browse available metadata extraction models
• client.sessions - View session details across agents