feat: Add Google vertex provider support (CONFLICTED)

[yohairosen]

Relates to

N/A

Risks

Medium. Potential integration issues with Google Vertex AI authentication and API limits.

Background

What does this PR do?

Adds Google Vertex AI support as a model inference provider.

What kind of change is this?

Features (non-breaking change which adds functionality)

Why are we doing this? Any context or related work?

It adds ability to use models deployed on Google Vertex

Documentation changes needed?

My changes require a change to the project documentation to include setup and configuration details for Google Vertex AI integration.

Testing

Where should a reviewer start?

1. Review the updated code for Google Vertex AI integration.
2. Verify that the correct environment variables are set in the .env file.
3. Check for any potential API authentication or quota issues.
4. Test embedding model
5. Try different models on Vertex, hugging face, and Claude for example, tested only on Gemani

Detailed testing steps

1. Set up Google Vertex AI in your Google Cloud project.

   • Ensure the Vertex AI API is enabled.
   • Configure service account credentials.

2. Add the required Google Vertex AI environment variables in your .env file (refer to .env.example):

   ####################################
   #### Google Vertex Provider ####
   ####################################
   GOOGLE_VERTEX_KEY=                  # "-----BEGIN PRIVATE KEY-----\n YOUR_PRIVATE \n-----END PRIVATE KEY-----\n"
   GOOGLE_VERTEX_EMAIL=                # [email protected]
   GOOGLE_VERTEX_LOCATION=             # us-central1
   GOOGLE_VERTEX_PROJECT=              # project-plexus-447108-e4
   SMALL_GOOGLE_VERTEX_MODEL=          # gemini-2.0-flash-exp
   MEDIUM_GOOGLE_VERTEX_MODEL=         # gemini-2.0-flash-exp
   LARGE_GOOGLE_VERTEX_MODEL=          # gemini-1.5-pro-002
   GOOGLE_VERTEX_EMBEDDING_MODEL=

   • You can obtain the values for GOOGLE_VERTEX_KEY, GOOGLE_VERTEX_EMAIL, GOOGLE_VERTEX_LOCATION, and GOOGLE_VERTEX_PROJECT from the Google Cloud service account JSON file that you download when setting up your credentials.

3. Update a character file and add:

   "modelProvider": "google_vertex_api",

4. Run:

   pnpm install && pnpm build
   pnpm run start --characters="./characters/<file name>"

5. In another terminal, start the client:

   pnpm start:client

6. Access localhost:5173 and request an image generation from your agent.

Discord username

luenai

[coderabbitai]

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