Reword docs

This adds a setting flag named 'auto_discover' for the Ollama LLM
executor, which disables Zed from automatically picking up all pulled
models that Ollama has, only showing manually listed models.

By default, auto discovery is enabled, preseving the current behaviour.

Release Notes:

- Adds an 'auto_discover' field for the language_models.ollama setting.

crates/language_models/src/provider/ollama.rs

@@ -43,6 +43,7 @@ static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
 #[derive(Default, Debug, Clone, PartialEq)]
 pub struct OllamaSettings {
     pub api_url: String,
+    pub auto_discover: bool,
     pub available_models: Vec<AvailableModel>,
 }
 
@@ -241,10 +242,13 @@ impl LanguageModelProvider for OllamaLanguageModelProvider {
 
     fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
         let mut models: HashMap<String, ollama::Model> = HashMap::new();
+        let settings = OllamaLanguageModelProvider::settings(cx);
 
         // Add models from the Ollama API
-        for model in self.state.read(cx).fetched_models.iter() {
-            models.insert(model.name.clone(), model.clone());
+        if settings.auto_discover {
+            for model in self.state.read(cx).fetched_models.iter() {
+                models.insert(model.name.clone(), model.clone());
+            }
         }
 
         // Override with available models from settings

crates/language_models/src/settings.rs

@@ -82,6 +82,7 @@ impl settings::Settings for AllLanguageModelSettings {
             },
             ollama: OllamaSettings {
                 api_url: ollama.api_url.unwrap(),
+                auto_discover: ollama.auto_discover.unwrap_or(true),
                 available_models: ollama.available_models.unwrap_or_default(),
             },
             open_router: OpenRouterSettings {

crates/settings/src/settings_content/language_model.rs

@@ -92,6 +92,7 @@ pub enum BedrockAuthMethodContent {
 #[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema, MergeFrom)]
 pub struct OllamaSettingsContent {
     pub api_url: Option<String>,
+    pub auto_discover: Option<bool>,
     pub available_models: Option<Vec<OllamaAvailableModel>>,
 }
 

docs/src/ai/llm-providers.md

@@ -327,6 +327,31 @@ Download and install Ollama from [ollama.com/download](https://ollama.com/downlo
 
 3. In the Agent Panel, select one of the Ollama models using the model dropdown.
 
+#### Autodiscovery
+
+Zed automatically discovers models that Ollama has pulled. To disable this behavior, set the `auto_discover` field to `false` in the Ollama settings. When auto-discovery is disabled, you must manually specify which models are available.
+
+```json [settings]
+{
+  "language_models": {
+    "ollama": {
+      "api_url": "http://localhost:11434",
+      "auto_discover": false,
+      "available_models": [
+        {
+          "name": "qwen2.5-coder",
+          "display_name": "qwen 2.5 coder",
+          "max_tokens": 32768,
+          "supports_tools": true,
+          "supports_thinking": true,
+          "supports_images": true
+        }
+      ]
+    }
+  }
+}
+```
+
 #### Ollama Context Length {#ollama-context}
 
 Zed has pre-configured maximum context lengths (`max_tokens`) to match the capabilities of common models.