diff --git a/README.md b/README.md
index f44e948..eceada2 100644
--- a/README.md
+++ b/README.md
@@ -20,6 +20,7 @@ This project allows you to run a reverse proxy server for various LLM APIs.
   - [x] [OpenAI](https://openai.com/)
   - [x] [Anthropic](https://www.anthropic.com/)
   - [x] [AWS Bedrock](https://aws.amazon.com/bedrock/)
+  - [x] [Vertex AI](https://cloud.google.com/vertex-ai/)
   - [x] [Google MakerSuite/Gemini API](https://ai.google.dev/)
   - [x] [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
 - [x] Translation from OpenAI-formatted prompts to any other API, including streaming responses
diff --git a/docs/gcp-configuration.md b/docs/gcp-configuration.md
new file mode 100644
index 0000000..7bf65e5
--- /dev/null
+++ b/docs/gcp-configuration.md
@@ -0,0 +1,34 @@
+# Configuring the proxy for Vertex AI (GCP)
+
+The proxy supports GCP models via the `/proxy/gcp/claude` endpoint. There are a few extra steps necessary to use GCP compared to the other supported APIs.
+
+- [Setting keys](#setting-keys)
+- [Setup Vertex AI](#setup-vertex-ai)
+- [Note regarding logging](#note-regarding-logging)
+
+## Setting keys
+
+Use the `GCP_CREDENTIALS` environment variable to set the GCP API keys.
+
+Like other APIs, you can provide multiple keys separated by commas. Each GCP key, however, is a set of credentials including the project id, client email, region and private key. These are separated by a colon (`:`).
+
+For example:
+
+```
+GCP_CREDENTIALS=my-first-project:xxx@yyy.com:us-east5:-----BEGIN PRIVATE KEY-----xxx-----END PRIVATE KEY-----,my-first-project2:xxx2@yyy.com:us-east5:-----BEGIN PRIVATE KEY-----xxx-----END PRIVATE KEY-----
+```
+
+## Setup Vertex AI
+1. Go to [https://cloud.google.com/](https://cloud.google.com/) and sign up for a GCP account.
+2. Go to [https://console.cloud.google.com/vertex-ai](https://console.cloud.google.com/vertex-ai) to enable Vertex AI API and apply for the Claude models.
+3. Create a [Service Account](https://console.cloud.google.com/projectselector/iam-admin/serviceaccounts/create?walkthrough_id=iam--create-service-account#step_index=1) , and make sure to grant the role of "Vertex AI User" or "Vertex AI Administrator".
+4. On the service account page you just created, create a new key and select "JSON". The JSON file will be downloaded automatically.
+5. The required credential is in the JSON file you just downloaded.
+
+### Supported model IDs
+Users can send these model IDs to the proxy to invoke the corresponding models.
+- **Claude**
+  - `claude-3-haiku@20240307`
+  - `claude-3-sonnet@20240229`
+  - `claude-3-opus@20240229`
+  - `claude-3-5-sonnet@20240620`
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