Add Support for Enterprise LLM Providers (Google Gemini, Azure OpenAI)
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No files, tests, or entry points are named in the issue. Start by locating the existing voice AI provider integration and its provider-selection path, then determine the requirements for Google Gemini and Azure OpenAI support. Done means both enterprise providers are supported in the system, with validation covering their integrations.
Written by the indexing model from the issue text.
Description
Many enterprises are standardizing on cloud-specific LLM platforms like Google Gemini and Azure OpenAI due to compliance, data residency, and cost considerations. Adding support for these providers would make the system more adaptable for real-world production environments and align with industry adoption trends.
- Dominant language
- Python
- Stars
- 15
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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