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CLOUD-20068 Fix inconsistencies found by Claude #88

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CLOUD-20068 Fix inconsistencies found by Claude #88

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4 changes: 2 additions & 2 deletions en/Clients/LlamaIndex-Client-Embedded.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -32,13 +32,13 @@ from llama_index.core.agent import ReActAgent
import asyncio

client = BasicMCPClient(
"http://mcp.cloud.cdata.com/mcp",
"https://mcp.cloud.cdata.com/mcp",
headers={"Authorization": "Bearer OAUTH_JWT_TOKEN"}
)

async def main():
# List available tools
tools = await aget_tools_from_mcp_url("http://mcp.cloud.cdata.com/mcp", client=client)
tools = await aget_tools_from_mcp_url("https://mcp.cloud.cdata.com/mcp", client=client)

llm = OpenAI(model="gpt-4o", api_key="YOUR_OPENAI_KEY")
# Create ReActAgent
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4 changes: 2 additions & 2 deletions en/Clients/LlamaIndex-Client.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -35,13 +35,13 @@ from llama_index.core.agent import ReActAgent
import asyncio

client = BasicMCPClient(
"http://mcp.cloud.cdata.com/mcp",
"https://mcp.cloud.cdata.com/mcp",
headers={"Authorization": "Basic Base64-encoded (CONNECTAI_USERNAME:PAT)"}
)

async def main():
# List available tools
tools = await aget_tools_from_mcp_url("http://mcp.cloud.cdata.com/mcp", client=client)
tools = await aget_tools_from_mcp_url("https://mcp.cloud.cdata.com/mcp", client=client)

llm = OpenAI(model="gpt-4o", api_key="YOUR_OPENAI_KEY")
# Create ReActAgent
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8 changes: 4 additions & 4 deletions en/Quick-Start-Guide.mdx
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Expand Up @@ -114,7 +114,7 @@ Use **Scheduled Queries** under **Jobs** to refresh cached results for heavy wor
Open Power BI Desktop and then select **Get Data** > **SQL Server**.
</Step>
<Step>
Enter your Connect Cloud SQL endpoint (*tds.cdata.com*).
Enter your Connect AI SQL endpoint (*tds.cdata.com*).
</Step>
<Step>
Authenticate with your CData credentials.
Expand All @@ -131,7 +131,7 @@ Select tables or derived views and build visuals.
In Excel, select **Data** > **Get Data** > **From Other Sources** > **From OData Feed**.
</Step>
<Step>
Paste your Connect Cloud OData endpoint (*https://cloud.cdata.com/api/odata/{workspace\_name}*).
Paste your Connect AI OData endpoint (*https://cloud.cdata.com/api/odata/{workspace\_name}*).
</Step>
<Step>
Authenticate with your CData credentials and load data.
Expand Down Expand Up @@ -159,11 +159,11 @@ Expose any source as a secure API for custom apps and large language models (LLM
```
- OData v4 is used for BI tools and pagination/filtering:
```bash
GET https://cloud.cdata.com/odata/Salesforce/Opportunity?$top=100&$orderby=Amount desc
GET https://cloud.cdata.com/api/odata/Salesforce/Opportunity?$top=100&$orderby=Amount desc
```
- OpenAPI generates clients and validates requests:
```bash
GET https://cloud.cdata.com/openapi/Salesforce
GET https://cloud.cdata.com/api/openapi/Salesforce
```

## Step 6: Organize with Workspaces
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5 changes: 3 additions & 2 deletions en/Workspaces.mdx
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@@ -1,10 +1,11 @@
---
title: "Workspaces"
description: "The **Workspaces** feature is a data catalog that streamlines the accessibility of diverse data sources."
---

## Overview

The **Workspaces** feature is a data catalog that streamlines the accessibility of diverse data sources. Workspaces provide a way to organize, catalog, and control access to specific data (assets) in Connect AI. You can bundle related assets separately in a simple and scalable way. Workspaces offer a customizable organization scheme that streamlines data analysis across numerous business functions.
Workspaces provide a way to organize, catalog, and control access to specific data (assets) in Connect AI. You can bundle related assets separately in a simple and scalable way. Workspaces offer a customizable organization scheme that streamlines data analysis across numerous business functions.

In the Connect AI data catalog, you can view a preview of the workspace’s column metadata.

Expand Down Expand Up @@ -66,7 +67,7 @@ The **Virtual SQL Server** tab of the **Endpoints** dialog contains the settings
The **OData** tab of the **Endpoints** dialog contains the settings you need to connect from a workspace via OData clients. Copy the settings in the dialog.

- **Username**—your username to connect to a workspace is in the format of your email address.
- **OData URL**—the workspace name you want to connect to. The URL has the format `https://cloud.cdata.com/api/odata/[workspace_name]`.
- **OData URL**—the workspace name you want to connect to. The URL has the format `https://cloud.cdata.com/api/odata/{workspace_name}`.
- **Password**—click **Create PAT** to create a Personal Access Token to use as your password during authentication.

#### Connect via OpenAPI
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