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Reorganizing tutorials (#3028)

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Angie Jones
2025-06-22 17:24:55 -05:00
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8
documentation/docs/getting-started/providers.md
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@@ -25,11 +25,11 @@ Goose relies heavily on tool calling capabilities and currently works best with
| [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/) | Access Azure-hosted OpenAI models, including GPT-4 and GPT-3.5. Supports both API key and Azure credential chain authentication. | `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_DEPLOYMENT_NAME`, `AZURE_OPENAI_API_KEY` (optional) |
| [Databricks](https://www.databricks.com/) | Unified data analytics and AI platform for building and deploying models. | `DATABRICKS_HOST`, `DATABRICKS_TOKEN` |
| [Gemini](https://ai.google.dev/gemini-api/docs) | Advanced LLMs by Google with multimodal capabilities (text, images). | `GOOGLE_API_KEY` |
| [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. Follow the instructions at https://cloud.google.com/vertex-ai/docs/authentication.** | `GCP_PROJECT_ID`, `GCP_LOCATION` and optional `GCP_MAX_RETRIES` (6), `GCP_INITIAL_RETRY_INTERVAL_MS` (5000), `GCP_BACKOFF_MULTIPLIER` (2.0), `GCP_MAX_RETRY_INTERVAL_MS` (320_000). |
| [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).** | `GCP_PROJECT_ID`, `GCP_LOCATION` and optional `GCP_MAX_RETRIES` (6), `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 GitHub Copilot's chat models including gpt-4o, o1, o3-mini, and Claude models. Uses device code authentication flow for secure access. | Uses GitHub device code authentication flow (no API key needed) |
| [Groq](https://groq.com/) | High-performance inference hardware and tools for LLMs. | `GROQ_API_KEY` |
| [Ollama](https://ollama.com/) | Local model runner supporting Qwen, Llama, DeepSeek, and other open-source models. **Because this provider runs locally, you must first [download and run a model](/docs/getting-started/providers#local-llms-ollama).** | `OLLAMA_HOST` |
| [Ramalama](https://ramalama.ai/) | Local model using native [OCI](https://opencontainers.org/) container runtimes, [CNCF](https://www.cncf.io/) tools, and supporting models as OCI artifacts. Ramalama API an compatible alternative to Ollama and can be used with the Goose Ollama provider. Supports Qwen, Llama, DeepSeek, and other open-source models. **Because this provider runs locally, you must first [download and run a model](/docs/getting-started/providers#local-llms-ollama).** | `OLLAMA_HOST` |
| [Ollama](https://ollama.com/) | Local model runner supporting Qwen, Llama, DeepSeek, and other open-source models. **Because this provider runs locally, you must first [download and run a model](/docs/getting-started/providers#local-llms).** | `OLLAMA_HOST` |
| [Ramalama](https://ramalama.ai/) | Local model using native [OCI](https://opencontainers.org/) container runtimes, [CNCF](https://www.cncf.io/) tools, and supporting models as OCI artifacts. Ramalama API an compatible alternative to Ollama and can be used with the Goose Ollama provider. Supports Qwen, Llama, DeepSeek, and other open-source models. **Because this provider runs locally, you must first [download and run a model](/docs/getting-started/providers#local-llms).** | `OLLAMA_HOST` |
| [OpenAI](https://platform.openai.com/api-keys) | Provides gpt-4o, o1, and other advanced language models. Also supports OpenAI-compatible endpoints (e.g., self-hosted LLaMA, vLLM, KServe). **o1-mini and o1-preview are not supported because Goose uses tool calling.** | `OPENAI_API_KEY`, `OPENAI_HOST` (optional), `OPENAI_ORGANIZATION` (optional), `OPENAI_PROJECT` (optional), `OPENAI_CUSTOM_HEADERS` (optional) |
| [OpenRouter](https://openrouter.ai/) | API gateway for unified access to various models with features like rate-limiting management. | `OPENROUTER_API_KEY` |
| [Snowflake](https://docs.snowflake.com/user-guide/snowflake-cortex/aisql#choosing-a-model) | Access the latest models using Snowflake Cortex services, including Claude models. **Requires a Snowflake account and programmatic access token (PAT)**. | `SNOWFLAKE_HOST`, `SNOWFLAKE_TOKEN` |
@@ -278,7 +278,7 @@ To set up Google Gemini with Goose, follow these steps:
</Tabs>
### Local LLMs (Ollama or Ramalama)
### Local LLMs
Ollama and Ramalama are both options to provide local LLMs, each which requires a bit more set up before you can use one of them with Goose.

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documentation/docs/getting-started/using-extensions.md
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@@ -12,11 +12,7 @@ Extensions are based on the [Model Context Protocol (MCP)](https://github.com/mo
Goose to a wide ecosystem of capabilities.
:::tip Tutorials
Check out the [step-by-step tutorials](/docs/category/tutorials) for adding and using several Goose Extensions
:::
:::tip Featured Extension
Looking for isolated development environments? Check out our guide on [Isolated Development Environments](/docs/guides/isolated-development-environments) using the new container-use extension.
Check out the [step-by-step tutorials](/docs/category/mcp-servers) for adding and using several Goose Extensions
:::