diff --git a/crates/goose/src/providers/declarative/empiriolabs.json b/crates/goose/src/providers/declarative/empiriolabs.json index 5357e7397..f0d6f536d 100644 --- a/crates/goose/src/providers/declarative/empiriolabs.json +++ b/crates/goose/src/providers/declarative/empiriolabs.json @@ -1,7 +1,7 @@ { "name": "empiriolabs", "engine": "openai", - "display_name": "EmpirioLabs", + "display_name": "EmpirioLabs AI", "description": "Frontier open and proprietary chat models through one OpenAI-compatible API with streaming support", "api_key_env": "EMPIRIOLABS_API_KEY", "base_url": "https://api.empiriolabs.ai/v1/chat/completions", diff --git a/documentation/docs/getting-started/providers.md b/documentation/docs/getting-started/providers.md index 60dbdd152..1b723d370 100644 --- a/documentation/docs/getting-started/providers.md +++ b/documentation/docs/getting-started/providers.md @@ -31,7 +31,7 @@ goose is compatible with a wide range of LLM providers, allowing you to choose a | [ChatGPT Codex](https://chatgpt.com/codex) | Access GPT-5 Codex models optimized for code generation and understanding. **Requires a ChatGPT Plus/Pro subscription.** | No manual key. Uses browser-based OAuth authentication for both CLI and Desktop. | | [Databricks](https://www.databricks.com/) | Unified data analytics and AI platform for building and deploying models. | `DATABRICKS_HOST`, `DATABRICKS_TOKEN` | | [Docker Model Runner](https://docs.docker.com/ai/model-runner/) | Local models running in Docker Desktop or Docker CE with OpenAI-compatible API endpoints. **Because this provider runs locally, you must first [download a model](#local-llms).** | `OPENAI_HOST`, `OPENAI_BASE_PATH` | -| [EmpirioLabs](https://empiriolabs.ai/) | Frontier open and proprietary chat models (Qwen, DeepSeek, GLM, Kimi, MiniMax) through one OpenAI-compatible API with streaming. Catalog available at `https://api.empiriolabs.ai/v1/models`. | `EMPIRIOLABS_API_KEY` | +| [EmpirioLabs AI](https://empiriolabs.ai/) | Frontier open and proprietary chat models (Qwen, DeepSeek, GLM, Kimi, MiniMax) through one OpenAI-compatible API with streaming. Catalog available at `https://api.empiriolabs.ai/v1/models`. | `EMPIRIOLABS_API_KEY` | | [FuturMix](https://futurmix.ai/) | Unified AI gateway providing access to models from Anthropic, Google, OpenAI, and DeepSeek through an OpenAI-compatible API. | `FUTURMIX_API_KEY` | | [Gemini](https://ai.google.dev/gemini-api/docs) | Advanced LLMs by Google with multimodal capabilities (text, images). Gemini 3 models support configurable [thinking levels](#gemini-3-thinking-levels). | `GOOGLE_API_KEY`, `GEMINI3_THINKING_LEVEL` (optional) | | [GCP Vertex AI](https://cloud.google.com/vertex-ai) | Google Cloud's Vertex AI platform, supporting Gemini and Claude models. **Credentials must be [configured in advance](https://cloud.google.com/vertex-ai/docs/authentication).** Filters for allowed models by organization policy (if configured). | `GCP_PROJECT_ID`, `GCP_LOCATION` and optionally `GCP_MAX_RATE_LIMIT_RETRIES` (5), `GCP_MAX_OVERLOADED_RETRIES` (5), `GCP_INITIAL_RETRY_INTERVAL_MS` (5000), `GCP_BACKOFF_MULTIPLIER` (2.0), `GCP_MAX_RETRY_INTERVAL_MS` (320_000). | @@ -705,8 +705,8 @@ To set up Groq with goose, follow these steps: -### EmpirioLabs -[EmpirioLabs](https://empiriolabs.ai/) provides access to frontier open and proprietary chat models through a single OpenAI-compatible API with streaming. To use EmpirioLabs with goose, you need an API key from [EmpirioLabs](https://platform.empiriolabs.ai/dashboard/api-keys). +### EmpirioLabs AI +[EmpirioLabs AI](https://empiriolabs.ai/) provides access to frontier open and proprietary chat models through a single OpenAI-compatible API with streaming. To use EmpirioLabs with goose, you need an API key from [EmpirioLabs](https://platform.empiriolabs.ai/dashboard/api-keys). EmpirioLabs offers models that support tool calling, including: - **qwen3-7-plus** - Qwen3.7 Plus with a 1M context window @@ -729,7 +729,7 @@ To set up EmpirioLabs with goose, follow these steps: 2. Click the `Settings` button on the sidebar. 3. Click the `Models` tab. 4. Click `Configure Providers` - 5. Choose `EmpirioLabs` as provider from the list. + 5. Choose `EmpirioLabs AI` as provider from the list. 6. Click `Configure`, enter your API key, and click `Submit`. 7. Select the EmpirioLabs model of your choice. @@ -740,7 +740,7 @@ To set up EmpirioLabs with goose, follow these steps: goose configure ``` 2. Select `Configure Providers` from the menu. - 3. Follow the prompts to choose `EmpirioLabs` as the provider. + 3. Follow the prompts to choose `EmpirioLabs AI` as the provider. 4. Enter your API key when prompted. 5. Select the EmpirioLabs model of your choice.