feat(providers): add EmpirioLabs as a declarative OpenAI-compatible provider (#9771)
Signed-off-by: Adam Dalloul <47503782+Adam-Dalloul@users.noreply.github.com> Signed-off-by: Douwe M Osinga <douwe@sidewalklabs.com> Co-authored-by: Douwe M Osinga <douwe@sidewalklabs.com>
This commit is contained in:
Adam Dalloul
@@ -0,0 +1,53 @@
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{
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"name": "empiriolabs",
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"engine": "openai",
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"display_name": "EmpirioLabs",
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"description": "Frontier open and proprietary chat models through one OpenAI-compatible API with streaming support",
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"api_key_env": "EMPIRIOLABS_API_KEY",
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"base_url": "https://api.empiriolabs.ai/v1/chat/completions",
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"models": [
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{
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"name": "qwen3-7-plus",
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"context_limit": 1000000,
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"max_tokens": 65536
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},
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{
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"name": "qwen3-7-max",
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"context_limit": 1000000,
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"max_tokens": 65536
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},
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{
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"name": "deepseek-v4-pro",
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"context_limit": 1000000,
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"max_tokens": 65536
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},
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{
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"name": "deepseek-v4-flash",
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"context_limit": 1000000,
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"max_tokens": 65536
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},
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{
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"name": "glm-5-1",
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"context_limit": 202000,
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"max_tokens": 131072
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},
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{
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"name": "kimi-k2-7-code",
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"context_limit": 256000,
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"max_tokens": 131072
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},
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{
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"name": "minimax-m3",
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"context_limit": 524000,
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"max_tokens": 131072
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}
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],
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"supports_streaming": true,
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"dynamic_models": false,
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"model_doc_link": "https://docs.empiriolabs.ai",
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"setup_steps": [
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"Go to https://platform.empiriolabs.ai/dashboard/api-keys",
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"Create or copy an existing API key",
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"Paste the key above as EMPIRIOLABS_API_KEY"
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]
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}
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@@ -31,6 +31,7 @@ goose is compatible with a wide range of LLM providers, allowing you to choose a
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| [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. |
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| [Databricks](https://www.databricks.com/) | Unified data analytics and AI platform for building and deploying models. | `DATABRICKS_HOST`, `DATABRICKS_TOKEN` |
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| [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` |
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| [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` |
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| [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` |
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| [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) |
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| [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). |
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@@ -701,6 +702,47 @@ To set up Groq with goose, follow these steps:
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</TabItem>
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</Tabs>
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### EmpirioLabs
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[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).
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EmpirioLabs offers models that support tool calling, including:
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- **qwen3-7-plus** - Qwen3.7 Plus with a 1M context window
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- **qwen3-7-max** - Qwen3.7 Max with a 1M context window
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- **deepseek-v4-pro** - DeepSeek V4 Pro with a 1M context window
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- **deepseek-v4-flash** - DeepSeek V4 Flash with a 1M context window
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- **glm-5-1** - GLM-5.1 with a 202K context window
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- **kimi-k2-7-code** - Kimi K2.7 Code with a 256K context window
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- **minimax-m3** - MiniMax M3 with a 524K context window
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The full live catalog is available at `https://api.empiriolabs.ai/v1/models`. For the complete list of EmpirioLabs models configured in goose, see [empiriolabs.json](https://github.com/aaif-goose/goose/blob/main/crates/goose/src/providers/declarative/empiriolabs.json). For more details, see the [EmpirioLabs documentation](https://docs.empiriolabs.ai).
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To set up EmpirioLabs with goose, follow these steps:
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<Tabs groupId="interface">
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<TabItem value="ui" label="goose Desktop" default>
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**To update your LLM provider and API key:**
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1. Click the <PanelLeft className="inline" size={16} /> button in the top-left to open the sidebar.
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2. Click the `Settings` button on the sidebar.
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3. Click the `Models` tab.
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4. Click `Configure Providers`
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5. Choose `EmpirioLabs` as provider from the list.
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6. Click `Configure`, enter your API key, and click `Submit`.
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7. Select the EmpirioLabs model of your choice.
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</TabItem>
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<TabItem value="cli" label="goose CLI">
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1. Run:
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```sh
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goose configure
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```
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2. Select `Configure Providers` from the menu.
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3. Follow the prompts to choose `EmpirioLabs` as the provider.
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4. Enter your API key when prompted.
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5. Select the EmpirioLabs model of your choice.
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</TabItem>
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</Tabs>
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### FuturMix
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[FuturMix](https://futurmix.ai/) is a unified AI gateway providing access to models from Anthropic, Google, OpenAI, and DeepSeek through an OpenAI-compatible API. To use FuturMix with goose, you need an API key from [FuturMix](https://futurmix.ai/).
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