benchling-integration

# Benchling Integration ## Overview Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via Python SDK and REST API. ## When to Use This Skill This skill should be used when: - Working with Benchling's Python SDK or REST API - Managing biological sequences (DNA, RNA, proteins) and registry entities - Automating inventory operations (samples, containers, locations, transfers) - Creating or querying electronic lab notebook entries - Building workflow automations or Benchling Apps - Syncing data between Benchling and external systems - Querying the Benchling Data Warehouse for analytics - Setting up event-driven integrations with AWS EventBridge ## Core Capabilities ### 1. Authentication & Setup **Python SDK Installation:** ```python # Stable release uv pip install benchling-sdk # or with Poetry poetry add benchling-sdk ``` **Authentication Methods:** API Key Authentication (recommended for scripts): ```python from benchling_sdk.benchling import Benchling from benchling_sdk.auth.api_key_auth import ApiKeyAuth benchling = Benchling( url="https://your-tenant.benchling.com", auth_method=ApiKeyAuth("your_api_key") ) ``` OAuth Client Credentials (for apps): ```python from benchling_sdk.auth.client_credentials_oauth2 import ClientCredentialsOAuth2 auth_method = ClientCredentialsOAuth2( client_id="your_client_id", client_secret="your_client_secret" ...