For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Logo
AI Hub
OverviewApp editorFlow editorAdminAPI & SDK
AI Hub
OverviewApp editorFlow editorAdminAPI & SDK
    • Getting started
    • Account setup
  • Release notes
    • Release notes
    • AI runtime release notes
    • Release timeline
  • References
    • Glossary
    • Choosing a model
    • File limitations and processing
    • Supported languages
    • Visual tutorials
  • Policies and procedures
    • Upgrades and maintenance
    • Data privacy and security
    • LLM best practices
    • Supported LLM providers
On this page
  • General requirements
  • Supported providers in agent mode
  • OpenAI API / Azure OpenAI API
  • Google Gemini
  • Supported providers in legacy mode
  • OpenAI API
  • Azure OpenAI API
  • AWS Bedrock (Anthropic Claude)
Policies and procedures

Supported LLM providers

Was this page helpful?
Built with

AI Hub supports specific large language model providers and APIs for use with AI Hub deployments. This list is subject to change as new models become available or as requirements evolve.

Customers who elect to provision their own LLM endpoints must ensure compliance with these specifications to maintain compatibility and receive full support under applicable Service Level Agreements.

Customers are responsible for ensuring their LLM endpoints remain compatible with the latest specifications. Use of unsupported models or endpoints that don’t maintain complete API compatibility isn’t supported and is excluded from any Service Level Agreements or performance warranties.

For questions or clarifications regarding supported providers and models, contact the support team.

General requirements

All customer LLM endpoints must provide official models from supported providers. In addition:

  • Endpoints must maintain complete API compatibility, including all available parameters, options, model variants, and authentication methods.

  • Custom or alternative models not listed in this documentation aren’t supported.

  • Models and required capabilities might change over time.

Supported providers in agent mode

AI runtime 2.x operates exclusively in agent mode and supports the following model providers and APIs:

OpenAI API / Azure OpenAI API

  • Responses API: Must be enabled on your OpenAI or Azure OpenAI endpoint.

  • LLM models:

    • gpt-5.2
    • gpt-5.2-pro

Google Gemini

  • LLM models:
    • gemini-2.5-flash
    • gemini-2.5-pro
  • Access methods:
    • Google Cloud Vertex AI

Supported providers in legacy mode

AI runtime 1.0.13 is the final release in the 1.x series and will expire according to the standard timeline, unless otherwise requested. Contact Instabase Support to request timeline adjustments.

AI runtime 1.0.13 continues to support the following model providers and APIs in legacy mode:

OpenAI API

  • LLM models:
    • gpt-3.5-turbo-16k (deprecated)
    • gpt-3.5-turbo-1106 (deprecated)
    • gpt-4o-2024-05-13
    • gpt-4o-2024-08-06
    • gpt-4o-2024-11-20
    • gpt-4o-mini-2024-07-18
  • Embedding models:
    • text-embedding-ada-002
  • Moderation:
    • omni-moderation-latest

Azure OpenAI API

  • LLM models:
    • See OpenAI API LLM models
  • Embedding models:
    • See OpenAI API embedding models

AWS Bedrock (Anthropic Claude)

  • LLM models: Cross-region inference endpoints are supported
    • anthropic.claude-3-5-sonnet-20241022-v2:0
    • anthropic.claude-3-5-sonnet-20240620-v1:0
    • anthropic.claude-3-5-haiku-20241022-v1:0
    • anthropic.claude-3-7-sonnet-20250219-v1:0
  • Embedding models:
    • amazon.titan-embed-text-v2:0