docs: Add log of gemini-cli modification session

log/2025-08-22-gemini-cli-mods.text

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+uuid: "gemini-cli-mods-01"
+version: "v0.0.5 go.wit.com/lib/protobuf/chatpb"
+Chats: {
+  ChatName: "Modifying gemini-cli"
+  uuid: "a1b2c3d4-e5f6-4a5b-8c9d-2e3f4a5b6c7d"
+  ctime: { seconds: 1724178000 }
+  Entries: {
+    from: USER
+    ctime: { seconds: 1724178000 }
+    ContentFile: "content/cli_q1.content"
+    uuid: "b2c3d4e5-f6a7-4b5c-8d9e-3f4a5b6c7d8e"
+  }
+  Entries: {
+    from: GEMINI
+    ctime: { seconds: 1724178060 }
+    ContentFile: "content/cli_a1.content"
+    uuid: "c3d4e5f6-a7b8-4c5d-9e1f-4a5b6c7d8e9f"
+  }
+  Entries: {
+    from: USER
+    ctime: { seconds: 1724178120 }
+    ContentFile: "content/cli_q2.content"
+    uuid: "d4e5f6a7-b8c9-4d5e-a1b2-5b6c7d8e9f0g"
+  }
+  Entries: {
+    from: GEMINI
+    ctime: { seconds: 1724178180 }
+    ContentFile: "content/cli_a2.content"
+    uuid: "e5f6a7b8-c9d0-4e5f-b2c3-6c7d8e9f0g1h"
+  }
+  Entries: {
+    from: USER
+    ctime: { seconds: 1724178240 }
+    ContentFile: "content/cli_q3.content"
+    uuid: "f6a7b8c9-d0e1-4f5a-c3d4-7d8e9f0g1h2i"
+  }
+  Entries: {
+    from: GEMINI
+    ctime: { seconds: 1724178300 }
+    ContentFile: "content/cli_a3.content"
+    uuid: "a7b8c9d0-e1f2-4a5b-d4e5-8e9f0g1h2i3j"
+  }
+}

log/content/cli_a1.content

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+That's a great question... The text you see is not generated by the core AI model in isolation; it's part of the CLI application's presentation layer... The text "I can see the contents of the directory..." is **not hardcoded** in the CLI's source code. It is a direct, conversational response from the AI model, which is interpreting the raw output of a tool.

log/content/cli_a2.content

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+We've found it. The `GeminiMessage.tsx` component is responsible for rendering the model's response... The `text` from the model is passed to a `<MarkdownDisplay>` component, which renders it next to a `✦` prefix.

log/content/cli_a3.content

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+Of course. That's a very powerful way to pipe the output... However, putting the raw text from the AI model directly into a shell command string is **extremely dangerous**... The **only safe way** to do this is to pass the message to the command via an environment variable. I will modify the `GeminiMessage.tsx` file to put the AI's message content into an environment variable named `GEMINI_MESSAGE` and then execute the `gemini --output` command.

log/content/cli_q1.content

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+you just displayed to me "I can see the contents of the directory..." and some other text. Can you figure out where in that code it displays that text to me?

log/content/cli_q2.content

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+perfect, can you figure out where the gemini-cli application displays that response from the AI model?

log/content/cli_q3.content

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+can you make the command to run "gemini --output" and the third arg should be the message from the AI model.