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feat: remove Google Vertex AI provider support

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2026-06-15 12:49:40 +05:30
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docs/ai-providers.md
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# AI Providers
Shannon Lite works best with Claude models. Anthropic API keys are recommended for most users, and Shannon Lite also supports AWS Bedrock, Google Vertex AI, and custom Anthropic-compatible endpoints.
Shannon Lite works best with Claude models. Anthropic API keys are recommended for most users, and Shannon Lite also supports AWS Bedrock and custom Anthropic-compatible endpoints.
## Anthropic
@@ -59,38 +59,6 @@ Shannon Lite uses three model tiers:
Set `ANTHROPIC_SMALL_MODEL`, `ANTHROPIC_MEDIUM_MODEL`, and `ANTHROPIC_LARGE_MODEL` to Bedrock model IDs available in your region.
## Google Vertex AI
Create a service account with the `roles/aiplatform.user` role in the GCP Console, then download a JSON key file.
Run `npx @keygraph/shannon setup` and select **Google Vertex AI**. The wizard prompts for region, project ID, service account key file path, and model IDs. The key file is copied to `~/.shannon/google-sa-key.json`.
Or export environment variables directly:
```bash
export CLAUDE_CODE_USE_VERTEX=1
export CLOUD_ML_REGION=us-east5
export ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your-sa-key.json
export ANTHROPIC_SMALL_MODEL=claude-haiku-4-5@20251001
export ANTHROPIC_MEDIUM_MODEL=claude-sonnet-4-6
export ANTHROPIC_LARGE_MODEL=claude-opus-4-8
```
Source-build `.env` equivalent:
```bash
CLAUDE_CODE_USE_VERTEX=1
CLOUD_ML_REGION=us-east5
ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
GOOGLE_APPLICATION_CREDENTIALS=./credentials/google-sa-key.json
ANTHROPIC_SMALL_MODEL=claude-haiku-4-5@20251001
ANTHROPIC_MEDIUM_MODEL=claude-sonnet-4-6
ANTHROPIC_LARGE_MODEL=claude-opus-4-8
```
Set `CLOUD_ML_REGION=global` for global endpoints, or use a specific region like `us-east5`. Some models may not be available on global endpoints.
## Custom Base URL
Shannon Lite supports pointing the SDK at an Anthropic-compatible endpoint with `ANTHROPIC_BASE_URL`. For proxy-based routing, use an LLM proxy such as LiteLLM configured to expose an Anthropic-compatible endpoint.