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Comprehensive authentication methods Tools for Every Need

Get access to authentication methods solutions that address multiple requirements. One-stop resources for streamlined workflows.

authentication methods

  • Secure Agent Augmentation

    An open-source framework that secures LLM agent access to private data through encryption, authentication, and secure retrieval layers.
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    What is Secure Agent Augmentation?
    Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.

  • Open Assistant API

    A Python client library enabling developers to interact with and manage conversations on an open-source AI assistant server.
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    What is Open Assistant API?
    The Open Assistant API provides a comprehensive Python client and CLI tools to interact with the Open Assistant server, a self-hosted open-source conversational AI platform. By exposing endpoints for creating conversations, sending user prompts, streaming AI-generated replies, and capturing feedback on responses, it enables developers to orchestrate complex chat workflows. It supports connection configuration, authentication tokens, customizable model selection, and batched message handling. Whether deployed locally for privacy or connected to remote instances, the API offers full control over conversation state and logging, making it ideal for building, testing, and scaling ChatGPT-style assistants across various applications.
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