feat: Add Forge LLM provider support

[Yiiii0]

Description

• Add FORGE to DefaultModelSuppliers enum in config.py
• Add Forge provider branch in LLMEndpoint.from_config() using ChatOpenAI
• Default base URL: https://api.forge.tensorblock.co/v1
• Environment variable: FORGE_API_KEY
• Model format: Provider/model-name (e.g. OpenAI/gpt-4o)

About Forge

Forge (https://github.com/TensorBlock/forge) is an open-source middleware that routes inference across 40+ upstream providers (including OpenAI, Anthropic, Gemini, DeepSeek, and OpenRouter). It is OpenAI API compatible — works with the standard OpenAI SDK by changing base_url and api_key.

Motivation

We have seen growing interest from users who standardize on Forge for their model management and want to use it natively with ${PROJECT}. This integration aims to bridge that gap.

Key Benefits

• Self-Hosted & Privacy-First: Forge is open-source and designed to be self-hosted, critical for users who require data sovereignty
• Future-Proofing: acts as a decoupling layer — instead of maintaining individual adapters for every new provider, Forge users can access them immediately
• Compatibility: supports established aggregators (like OpenRouter) as well as direct provider connections (BYOK)

References

• Repo: https://github.com/TensorBlock/forge
• Docs: https://www.tensorblock.co/api-docs/overview
• Main Page: https://www.tensorblock.co/

Checklist before requesting a review

Please delete options that are not relevant.

• My code follows the style guidelines of this project
• I have performed a self-review of my code
• I have commented hard-to-understand areas
• I have ideally added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged

Screenshots (if appropriate):

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Thanks for your contributions, we'll be closing this PR as it has gone stale. Feel free to reopen if you'd like to continue the discussion.