Update image URLs in install-vscode.mdx

Author: jdorfman

docs/cody/clients/install-vscode.mdx

@@ -194,10 +194,9 @@ To try it out, add context providers to your VS Code settings. For example, to u
 If Cody's answer isn't helpful, you can try asking again with different context:
 
 - Public knowledge only: Cody will not use your own code files as context; it’ll only use knowledge trained into the base model.
-- Current file only: Re-run the prompt again using just the current file as context.
 - Add context: Provides @-mention context options to improve the response by explicitly including files, symbols, remote repositories, or even web pages (by URL).
 
-![re-run-with-context](https://storage.googleapis.com/sourcegraph-assets/Docs/re-run-with-context.png)
+![re-run-with-context](https://storage.googleapis.com/sourcegraph-assets/Docs/re-run-with-context-2025.png)
 
 ## Context fetching mechanism
 
@@ -234,17 +233,15 @@ To help you get started, there are a few prompts that are available by default.
 - Detect code smells
 - Generate unit tests
 
-![default-prompts](https://storage.googleapis.com/sourcegraph-assets/Docs/default-prompts-1124.png)
+![default-prompts](https://storage.googleapis.com/sourcegraph-assets/Docs/default-prompts-2025.png)
 
 ## Smart Apply code suggestions
 
 Cody lets you dynamically insert code from chat into your files with **Smart Apply**. Every time Cody provides you with a code suggestion, you can click the **Apply** button. Cody will then analyze your open code file, find where that relevant code should live, and add a diff. For chat messages where Cody provides multiple code suggestions, you can apply each in sequence to go from chat suggestions to written code.
 
-![smart-apply-code](https://storage.googleapis.com/sourcegraph-assets/Docs/smart-apply-102024.png)
-
 Smart Apply also supports executing commands in the terminal. When you ask Cody a question related to terminal commands, you can execute the suggestion in your terminal by clicking the `Execute` button in the chat window.
 
-![smart-apply-execute](https://storage.googleapis.com/sourcegraph-assets/Docs/smart-apply-102024.png)
+![smart-apply-execute](https://storage.googleapis.com/sourcegraph-assets/Docs/smart-apply-2025.png)
 
 ## Keyboard shortcuts
 
@@ -274,7 +271,7 @@ Claude 3.5 Sonnet is the default LLM model for inline edits and prompts. If you'
 
 Users on Cody **Free** and **Pro** can choose from a list of [supported LLM models](/cody/capabilities/supported-models) for chat.
 
-![LLM-models-for-cody-free](https://storage.googleapis.com/sourcegraph-assets/Docs/llm-dropdown-options-102024.png)
+![LLM-models-for-cody-free](https://storage.googleapis.com/sourcegraph-assets/Docs/llm-dropdown-options-2025.png)
 
 Enterprise users get Claude 3 (Opus and Sonnet) as the default LLM models without extra cost. Moreover, Enterprise users can use Claude 3.5 models through Cody Gateway, Anthropic BYOK, Amazon Bedrock (limited availability), and GCP Vertex.
 
@@ -312,9 +309,9 @@ To get autocomplete suggestions from Ollama locally, follow these steps:
 ### Cody chat with Ollama
 
 <img
-  src="https://storage.googleapis.com/sourcegraph-assets/blog/cody-vscode-1.8.0/localollama.png"
+  src="https://storage.googleapis.com/sourcegraph-assets/Docs/local-ollama-2025.jpg"
   alt="Chat model selector"
-  style={{ aspectRatio: '1110 / 443' }}
+  style={{ width: '100%', height: 'auto' }}
  />
 
 To generate chat with Ollama locally, follow these steps: