Feat/add.azure.and.other.providers (#607)
* fix: claude-4 not having the right max_tokens * feat: add bedrock support * chore: fix package-lock.json * fix: rename baseUrl to baseURL * feat: add azure support * fix: final touches of azure integration * feat: add google vertex provider * chore: fix tests and refactor task-manager.test.js * chore: move task 92 to 94
This commit is contained in:
Ralph Khreish
@@ -16,14 +16,14 @@ Taskmaster uses two primary methods for configuration:
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"modelId": "claude-3-7-sonnet-20250219",
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"maxTokens": 64000,
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"temperature": 0.2,
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"baseUrl": "https://api.anthropic.com/v1"
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"baseURL": "https://api.anthropic.com/v1"
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},
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"research": {
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"provider": "perplexity",
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"modelId": "sonar-pro",
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"maxTokens": 8700,
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"temperature": 0.1,
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"baseUrl": "https://api.perplexity.ai/v1"
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"baseURL": "https://api.perplexity.ai/v1"
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},
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"fallback": {
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"provider": "anthropic",
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@@ -38,8 +38,10 @@ Taskmaster uses two primary methods for configuration:
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"defaultSubtasks": 5,
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"defaultPriority": "medium",
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"projectName": "Your Project Name",
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"ollamaBaseUrl": "http://localhost:11434/api",
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"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
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"ollamaBaseURL": "http://localhost:11434/api",
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"azureBaseURL": "https://your-endpoint.azure.com/",
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"vertexProjectId": "your-gcp-project-id",
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"vertexLocation": "us-central1"
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}
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}
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```
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@@ -53,15 +55,18 @@ Taskmaster uses two primary methods for configuration:
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- `ANTHROPIC_API_KEY`: Your Anthropic API key.
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- `PERPLEXITY_API_KEY`: Your Perplexity API key.
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- `OPENAI_API_KEY`: Your OpenAI API key.
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- `GOOGLE_API_KEY`: Your Google API key.
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- `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).
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- `MISTRAL_API_KEY`: Your Mistral API key.
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- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
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- `OPENROUTER_API_KEY`: Your OpenRouter API key.
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- `XAI_API_KEY`: Your X-AI API key.
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- **Optional Endpoint Overrides:**
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- **Per-role `baseUrl` in `.taskmasterconfig`:** You can add a `baseUrl` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
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- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseUrl` for the Azure model role).
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- **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
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- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).
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- `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
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- `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.
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- `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.
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- `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).
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**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.
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@@ -78,6 +83,11 @@ PERPLEXITY_API_KEY=pplx-your-key-here
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# Optional Endpoint Overrides
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# AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
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# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
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# Google Vertex AI Configuration (Required if using 'vertex' provider)
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# VERTEX_PROJECT_ID=your-gcp-project-id
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# VERTEX_LOCATION=us-central1
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# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-credentials.json
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```
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## Troubleshooting
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@@ -102,3 +112,45 @@ git clone https://github.com/eyaltoledano/claude-task-master.git
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cd claude-task-master
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node scripts/init.js
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```
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## Provider-Specific Configuration
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### Google Vertex AI Configuration
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Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:
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1. **Prerequisites**:
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- A Google Cloud account with Vertex AI API enabled
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- Either a Google API key with Vertex AI permissions OR a service account with appropriate roles
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- A Google Cloud project ID
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2. **Authentication Options**:
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- **API Key**: Set the `GOOGLE_API_KEY` environment variable
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- **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file
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3. **Required Configuration**:
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- Set `VERTEX_PROJECT_ID` to your Google Cloud project ID
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- Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)
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4. **Example Setup**:
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```bash
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# In .env file
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GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX
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VERTEX_PROJECT_ID=my-gcp-project-123
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VERTEX_LOCATION=us-central1
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```
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Or using service account:
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```bash
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# In .env file
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GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
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VERTEX_PROJECT_ID=my-gcp-project-123
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VERTEX_LOCATION=us-central1
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```
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5. **In .taskmasterconfig**:
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```json
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"global": {
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"vertexProjectId": "my-gcp-project-123",
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"vertexLocation": "us-central1"
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}
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```
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