Document gemini 3 thinking levels (#7282)

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Emma Youndtsmith
2026-02-17 16:39:18 -06:00
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commit 52415df54b
2 changed files with 42 additions and 1 deletions
@@ -29,7 +29,7 @@ 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` |
| [Gemini](https://ai.google.dev/gemini-api/docs) | Advanced LLMs by Google with multimodal capabilities (text, images). | `GOOGLE_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). |
| [GitHub Copilot](https://docs.github.com/en/copilot/using-github-copilot/ai-models) | Access to AI models from OpenAI, Anthropic, Google, and other providers through GitHub's Copilot infrastructure. **GitHub account with Copilot access required.** | No manual key. Uses [device flow authentication](#github-copilot-authentication) for both CLI and Desktop. |
| [Groq](https://groq.com/) | High-performance inference hardware and tools for LLMs. | `GROQ_API_KEY` |
@@ -1150,6 +1150,37 @@ Beyond single-model setups, goose supports [multi-model configurations](/docs/gu
- **Lead/Worker Model** - Automatic switching between a lead model for initial turns and a worker model for execution tasks
- **Planning Mode** - Manual planning phase using a dedicated model to create detailed project breakdowns before execution
## Gemini 3 Thinking Levels
Gemini 3 models support configurable thinking levels to balance response latency and reasoning depth:
- **Low** (default) - Faster responses, lighter reasoning
- **High** - Deeper reasoning, higher latency
<Tabs groupId="interface">
<TabItem value="ui" label="goose Desktop" default>
When selecting a Gemini 3 model, a "Thinking Level" dropdown appears automatically. Select your preference and the setting persists across sessions.
</TabItem>
<TabItem value="cli" label="goose CLI">
**Interactive configuration:**
When you run `goose configure` and select a Gemini 3 model, you'll be prompted to choose a thinking level:
```
◆ Select thinking level for Gemini 3:
│ ● Low - Better latency, lighter reasoning
│ ○ High - Deeper reasoning, higher latency
```
</TabItem>
</Tabs>
:::info Priority Order
The thinking level is determined in this order (highest to lowest priority):
1. `request_params.thinking_level` in model configuration (via `GOOSE_PREDEFINED_MODELS`)
2. `GEMINI3_THINKING_LEVEL` environment variable
3. Default value: `low`
:::
---
If you have any questions or need help with a specific provider, feel free to reach out to us on [Discord](https://discord.gg/goose-oss) or on the [goose repo](https://github.com/block/goose).