Update EmpirioLabs provider display name to EmpirioLabs AI (#10126)

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Adam Dalloul 2026-07-01 10:06:38 -07:00 committed by GitHub
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2 changed files with 6 additions and 6 deletions

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@ -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",

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@ -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:
</TabItem>
</Tabs>
### 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.
</TabItem>