Port autogpt.core.resource.model_provider from AutoGPT to Forge

[Pwuts]

• Actionable for 🚀 AutoGPT Roadmap - Empowering Agent Builders 👷 #6970

  Move clear-cut library code from AutoGPT to Forge (or to /dev/null if Forge already has a better version)

  • autogpt.core.resource.model_provider
  • ...

Proposed new module name: forge.llm

Dependencies

• Port and split autogpt.core.configuration into forge.config and forge.state #7000
• Port autogpt.core.utils.json_schema from AutoGPT to Forge #7002

TODO

1. Port autogpt.core.resource.model_provider
2. Make single interface for client initialization/usage
3. Check module configuration setup (see below)

Notes

• Configuration may need revision
  We want Forge components to be portable and usable as stand-alone imports. Modules should be able to configure themselves if no configuration is passed in.
  Example: OpenAI's constructor has an api_key parameter. If not set, it will try to read the API key from the OPENAI_API_KEY environment variable.

  Our OpenAIProvider wraps an OpenAI or AzureOpenAI client, depending on the configuration. We think it makes sense to preserve this behavior.

Why migrate this module?

The model_provider module provides functionality and extendability that is not available from any many-model client that we know of, e.g. LiteLLM. We would like to have support for as many models as possible, but:

• As it is, AutoGPT's prompts are not portable between different model families. Until this is fixed, having access to any number of LLMs / LLM providers doesn't add much value.
• We are eyeing some opportunities (developing LLM polyfills/middleware) for which having low-level access to the native clients is beneficial. Related: 🚀 AutoGPT Roadmap - Vendor Liberty 🗝️ #6969.

Because of these reasons, we want to keep our own client implementation for now.

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[ntindle]

Unstale @kcze