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noel merged 2 commits into from
Feb 12, 2026
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Flattened Copilot v2 page structure, and fixed dead links #21

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Flattened Copilot v2 page structure, and fixed dead links
jesusmgg Feb 12, 2026
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Merge remote-tracking branch 'origin/main' into fix-datacoves-provide…
jesusmgg Feb 12, 2026
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88 changes: 23 additions & 65 deletions docs/how-tos/vs-code/datacoves-copilot/v2.md
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Expand Up @@ -7,32 +7,17 @@ sidebar_position: 6

This section describes how to configure and use Datacoves Copilot v2, which comes installed on Datacoves v4+, enhancing the experience and supporting the following LLM providers:

- Anthropic
- DeepSeek
- Google Gemini
- OpenAI
- Azure OpenAI
- OpenAI Compatible
- Open Router
- xAI (Grok)
- [Anthropic](#anthropic-llm-provider)
- [Azure OpenAI](#azure-openai-llm-provider)
- [DeepSeek](#deepseek-llm-provider)
- [Google Gemini](#google-gemini-llm-provider)
- [OpenAI](#openai-llm-provider)
- [OpenAI Compatible](#openai-compatible-llm-providers)
- [Open Router](#open-router-llm-provider)
- [xAI (Grok)](#xai-grok-llm-provider)

## How Tos

import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

<Tabs defaultValue="config" values={[
{label: 'Config', value: 'config'},
{label: 'Anthropic', value: 'anthropic'},
{label: 'OpenAI', value: 'openai'},
{label: 'Azure OpenAI', value: 'azure'},
{label: 'OpenAI Compatible', value: 'openaicompatible'},
{label: 'Google Gemini', value: 'gemini'},
{label: 'More Providers', value: 'additional'},
]}>

<TabItem value="config">

## Configure your LLM in Datacoves Copilot v2

## Create a Datacoves Secret
Expand All @@ -42,7 +27,7 @@ Creating a [Datacoves Secret](/how-tos/datacoves/how_to_secrets.md) requires som
- **Name:** The secret must be named `datacoves-copilot-api-configs`
- **Description:** Provide a simple description such as: `Datacoves Copilot config`
- **Format:** Select `Raw JSON`
- **Value**: The value will vary depending on the LLM you are utilizing, click on the corresponding tab or on `More Providers` to see more.
- **Value**: The value will vary depending on the LLM you are utilizing, see the provider sections below.
- **Scope:** Select the desired scope, either `Project` or `Environment`.
- **Project/Environment:** Select the `Project` or `Environment` that will access this LLM.

Expand Down Expand Up @@ -77,9 +62,7 @@ Lastly, be sure to toggle on the `Share with developers` option so that users wi
allowfullscreen
></iframe>

</TabItem>

<TabItem value="anthropic">
## LLM Providers

## Anthropic LLM Provider

Expand Down Expand Up @@ -128,9 +111,6 @@ Datacoves Copilot supports the following Anthropic Claude models:

See [Anthropic's Model Documentation](https://docs.claude.com/en/docs/about-claude/models/overview) for more details on each model's capabilities.

</TabItem>
<TabItem value="openai">

## OpenAI LLM Provider

Datacoves Copilot supports accessing models directly through the official OpenAI API, including the latest GPT-5 family with advanced features like reasoning effort control and verbosity settings.
Expand Down Expand Up @@ -221,9 +201,6 @@ Optimized GPT-4 models:

Refer to the [OpenAI Models documentation](https://platform.openai.com/docs/models) for the most up-to-date list of models and capabilities.

</TabItem>
<TabItem value="azure">

## Azure OpenAI LLM Provider

Datacoves Copilot supports Azure OpenAI models through the OpenAI API compatible interface.
Expand Down Expand Up @@ -324,11 +301,6 @@ Use your **deployment name** from Azure AI Foundry as the `openAiModelId`. This

Refer to [Azure OpenAI documentation](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models) for the most current model availability and regional deployment options.

</TabItem>
<TabItem value="openaicompatible">

#### OpenAI Compatible

## OpenAI Compatible LLM Providers

Datacoves Copilot supports a wide range of AI model providers that offer APIs compatible with the OpenAI API standard. This means you can use models from providers other than OpenAI, while still using a familiar API interface. This includes providers like:
Expand All @@ -337,7 +309,7 @@ Datacoves Copilot supports a wide range of AI model providers that offer APIs co
- Cloud providers like Perplexity, Together AI, Anyscale, and others.
- Any other provider offering an OpenAI-compatible API endpoint.

**Note:** For Azure OpenAI, see the dedicated [Azure OpenAI tab](#azure-openai) for specific setup instructions.
**Note:** For Azure OpenAI, see the dedicated [Azure OpenAI](#azure-openai-llm-provider) section for specific setup instructions.

### Secret value format

Expand Down Expand Up @@ -381,9 +353,6 @@ Fine tune model usage using this additional configuration under the `openAiCusto
}
```

</TabItem>
<TabItem value="gemini">

## Google Gemini LLM Provider

Datacoves Copilot supports Google's Gemini family of models through the Google AI Gemini API.
Expand Down Expand Up @@ -436,20 +405,13 @@ Datacoves Copilot supports the following Gemini models:

Refer to the [Gemini documentation](https://ai.google.dev/gemini-api/docs/models) for more details on each model.

</TabItem>
<TabItem value="additional">

## Additional LLM Providers

Datacoves Copilot supports additional LLM providers, you can find the secret value format for each one of them and additional documentation.

### DeepSeek
## DeepSeek LLM Provider

Datacoves Copilot supports accessing models through the DeepSeek API, including deepseek-chat and deepseek-reasoner.

Website: https://platform.deepseek.com/

#### Secret value format
### Secret value format

```json
{
Expand All @@ -462,26 +424,26 @@ Website: https://platform.deepseek.com/
}
```

#### Getting an API Key
### Getting an API Key

1. Sign Up/Sign In: Go to the DeepSeek Platform. Create an account or sign in.
2. Navigate to API Keys: Find your API keys in the API keys section of the platform.
3. Create a Key: Click "Create new API key". Give your key a descriptive name (e.g., "Datacoves").
4. Copy the Key: Important: Copy the API key immediately. You will not be able to see it again. Store it securely.

#### Supported Models (`apiModelId`)
### Supported Models (`apiModelId`)

- deepseek-chat (Recommended for coding tasks)
- deepseek-reasoner (Recommended for reasoning tasks)
- deepseek-r1

### Open Router
## Open Router LLM Provider

OpenRouter is an AI platform that provides access to a wide variety of language models from different providers, all through a single API. This can simplify setup and allow you to easily experiment with different models.

Website: https://openrouter.ai/

#### Secret value format
### Secret value format

```json
{
Expand All @@ -495,25 +457,25 @@ Website: https://openrouter.ai/
}
```

#### Getting an API Key
### Getting an API Key

1. Sign Up/Sign In: Go to the OpenRouter website. Sign in with your Google or GitHub account.
2. Get an API Key: Go to the keys page. You should see an API key listed. If not, create a new key.
3. Copy the Key: Copy the API key.

#### Supported Models (`openRouterModelId`)
### Supported Models (`openRouterModelId`)

OpenRouter supports a large and growing number of models.
Refer to the [OpenRouter Models page](https://openrouter.ai/models) for the complete and up-to-date list.

### xAI Grok
## xAI Grok LLM Provider

xAI is the company behind Grok, a large language model known for its conversational abilities and large context window.
Grok models are designed to provide helpful, informative, and contextually relevant responses.

Website: https://x.ai/

#### Secret value format
### Secret value format

```json
{
Expand All @@ -527,14 +489,14 @@ Website: https://x.ai/
}
```

#### Getting an API Key
### Getting an API Key

1. Sign Up/Sign In: Go to the xAI Console. Create an account or sign in.
2. Navigate to API Keys: Go to the API keys section in your dashboard.
3. Create a Key: Click to create a new API key. Give your key a descriptive name (e.g., "Datacoves").
4. Copy the Key: Important: Copy the API key immediately. You will not be able to see it again. Store it securely.

#### Supported Models (`apiModelId`)
### Supported Models (`apiModelId`)

- grok-code-fast-1 (Default) - xAI's Grok Code Fast model with 262K context window and prompt caching, optimized for reasoning and coding tasks
- grok-4 - xAI's Grok-4 model with 262K context window, image support, and prompt caching
Expand All @@ -546,7 +508,3 @@ Website: https://x.ai/
- grok-2-vision-1212 - xAI's Grok-2 Vision model (version 1212) with image support and 32K context window

Learn more about available models at [xAI Docs](https://docs.x.ai/docs/models).

</TabItem>

</Tabs>