Yehowshua/ZIm
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

agent: Rename "open configuration" action to "open settings" (#35329)

Browse source 
"Settings" is the terminology we use in the agent panel, thus having the
action use "configuration" makes it harder for folks to find this either
via the command palette or the keybinding editor UI in case they'd like
to change it.

Release Notes:

- agent: Renamed the "open configuration" action to "open settings" for
better discoverability and consistency
This commit is contained in:
Danilo Leal 2025-07-30 09:55:13 -03:00 • committed by GitHub
parent c22fa9adee
commit 00725273e4
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
12 changed files with 31 additions and 38 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/src/ai/agent-settings.md
View file

@ -108,7 +108,7 @@ Specify a custom temperature for a provider and/or model:
## Agent Panel Settings {#agent-panel-settings}
Note that some of these settings are also surfaced in the Agent Panel's settings UI, which you can access either via the `agent: open configuration` action or by the dropdown menu on the top-right corner of the panel.
Note that some of these settings are also surfaced in the Agent Panel's settings UI, which you can access either via the `agent: open settings` action or by the dropdown menu on the top-right corner of the panel.
### Default View

18
docs/src/ai/llm-providers.md
View file

@ -86,7 +86,7 @@ To do this:
1. Create an IAM User that you can assume in the [IAM Console](https://us-east-1.console.aws.amazon.com/iam/home?region=us-east-1#/users).
2. Create security credentials for that User, save them and keep them secure.
3. Open the Agent Configuration with (`agent: open configuration`) and go to the Amazon Bedrock section
3. Open the Agent Configuration with (`agent: open settings`) and go to the Amazon Bedrock section
4. Copy the credentials from Step 2 into the respective **Access Key ID**, **Secret Access Key**, and **Region** fields.
#### Cross-Region Inference
@ -113,7 +113,7 @@ You can use Anthropic models by choosing them via the model dropdown in the Agen
1. Sign up for Anthropic and [create an API key](https://console.anthropic.com/settings/keys)
2. Make sure that your Anthropic account has credits
3. Open the settings view (`agent: open configuration`) and go to the Anthropic section
3. Open the settings view (`agent: open settings`) and go to the Anthropic section
4. Enter your Anthropic API key
Even if you pay for Claude Pro, you will still have to [pay for additional credits](https://console.anthropic.com/settings/plans) to use it via the API.
@ -168,7 +168,7 @@ You can configure a model to use [extended thinking](https://docs.anthropic.com/
> ✅ Supports tool use
1. Visit the DeepSeek platform and [create an API key](https://platform.deepseek.com/api_keys)
2. Open the settings view (`agent: open configuration`) and go to the DeepSeek section
2. Open the settings view (`agent: open settings`) and go to the DeepSeek section
3. Enter your DeepSeek API key
The DeepSeek API key will be saved in your keychain.
@ -213,7 +213,7 @@ You can also modify the `api_url` to use a custom endpoint if needed.
You can use GitHub Copilot Chat with the Zed agent by choosing it via the model dropdown in the Agent Panel.
1. Open the settings view (`agent: open configuration`) and go to the GitHub Copilot Chat section
1. Open the settings view (`agent: open settings`) and go to the GitHub Copilot Chat section
2. Click on `Sign in to use GitHub Copilot`, follow the steps shown in the modal.
Alternatively, you can provide an OAuth token via the `GH_COPILOT_TOKEN` environment variable.
@ -229,7 +229,7 @@ To use Copilot Enterprise with Zed (for both agent and inline completions), you
You can use Gemini models with the Zed agent by choosing it via the model dropdown in the Agent Panel.
1. Go to the Google AI Studio site and [create an API key](https://aistudio.google.com/app/apikey).
2. Open the settings view (`agent: open configuration`) and go to the Google AI section
2. Open the settings view (`agent: open settings`) and go to the Google AI section
3. Enter your Google AI API key and press enter.
The Google AI API key will be saved in your keychain.
@ -288,7 +288,7 @@ Tip: Set [LM Studio as a login item](https://lmstudio.ai/docs/advanced/headless#
> ✅ Supports tool use
1. Visit the Mistral platform and [create an API key](https://console.mistral.ai/api-keys/)
2. Open the configuration view (`agent: open configuration`) and navigate to the Mistral section
2. Open the configuration view (`agent: open settings`) and navigate to the Mistral section
3. Enter your Mistral API key
The Mistral API key will be saved in your keychain.
@ -399,7 +399,7 @@ If the model is tagged with `vision` in the Ollama catalog, set this option and
1. Visit the OpenAI platform and [create an API key](https://platform.openai.com/account/api-keys)
2. Make sure that your OpenAI account has credits
3. Open the settings view (`agent: open configuration`) and go to the OpenAI section
3. Open the settings view (`agent: open settings`) and go to the OpenAI section
4. Enter your OpenAI API key
The OpenAI API key will be saved in your keychain.
@ -480,7 +480,7 @@ OpenRouter provides access to multiple AI models through a single API. It suppor
1. Visit [OpenRouter](https://openrouter.ai) and create an account
2. Generate an API key from your [OpenRouter keys page](https://openrouter.ai/keys)
3. Open the settings view (`agent: open configuration`) and go to the OpenRouter section
3. Open the settings view (`agent: open settings`) and go to the OpenRouter section
4. Enter your OpenRouter API key
The OpenRouter API key will be saved in your keychain.
@ -551,7 +551,7 @@ You should then find it as `v0-1.5-md` in the model dropdown in the Agent Panel.
Zed has first-class support for [xAI](https://x.ai/) models. You can use your own API key to access Grok models.
1. [Create an API key in the xAI Console](https://console.x.ai/team/default/api-keys)
2. Open the settings view (`agent: open configuration`) and go to the **xAI** section
2. Open the settings view (`agent: open settings`) and go to the **xAI** section
3. Enter your xAI API key
The xAI API key will be saved in your keychain. Zed will also use the `XAI_API_KEY` environment variable if it's defined.

2
docs/src/ai/mcp.md
View file

@ -50,7 +50,7 @@ You can connect them by adding their commands directly to your `settings.json`,
}
```
Alternatively, you can also add a custom server by accessing the Agent Panel's Settings view (also accessible via the `agent: open configuration` action).
Alternatively, you can also add a custom server by accessing the Agent Panel's Settings view (also accessible via the `agent: open settings` action).
From there, you can add it through the modal that appears when you click the "Add Custom Server" button.
## Using MCP Servers