Make OpenAI Responses API store param configurable (#10040)

Signed-off-by: Lucas Alvares Gomes <lucasagomes@gmail.com>

crates/goose-providers/src/formats/openai_responses.rs

@@ -596,10 +596,11 @@ pub fn create_responses_request(
         None
     };
 
+    let store = model_config.request_param::<bool>("store").unwrap_or(false);
     let mut payload = json!({
         "model": model_name,
         "input": input_items,
-        "store": false,
+        "store": store,
     });
 
     if let Some(effort) = reasoning_effort {
@@ -1412,6 +1413,27 @@ mod tests {
         );
     }
 
+    #[test]
+    fn test_request_params_override_store() {
+        let model_config = ModelConfig {
+            model_name: "o3".to_string(),
+            context_limit: None,
+            temperature: None,
+            max_tokens: None,
+            toolshim: false,
+            toolshim_model: None,
+            request_params: Some(std::collections::HashMap::from([(
+                "store".to_string(),
+                serde_json::json!(true),
+            )])),
+            reasoning: None,
+        };
+
+        let result = create_responses_request(&model_config, "", &[], &[]).unwrap();
+
+        assert_eq!(result["store"], true);
+    }
+
     #[test]
     fn test_user_image_serialized_in_responses_request() {
         use crate::conversation::message::Message;

crates/goose/src/config/base.rs

@@ -1172,6 +1172,10 @@ impl Config {
         self.set_param("GOOSE_THINKING_EFFORT", v)
     }
 
+    pub fn get_openai_store(&self) -> Option<bool> {
+        self.get_param::<bool>("OPENAI_STORE").ok()
+    }
+
     fn legacy_thinking_effort(&self) -> Option<ThinkingEffort> {
         if let Ok(value) = self.get_param::<String>("CLAUDE_THINKING_TYPE") {
             if let Some(effort) = match value.to_lowercase().as_str() {

crates/goose/src/model_config.rs

@@ -27,7 +27,7 @@ pub fn model_config_from_user_config_with_session_settings(
 ) -> Result<ModelConfig> {
     let config = Config::global();
     let model = base_model_config_from_user_config(model_name.as_ref())?;
-    let model = materialize_model_config_inner(model, false)?
+    let model = materialize_model_config_inner(model, provider_name, false)?
         .with_context_limit(context_limit)
         .with_inherited_session_settings_from(previous, request_params)
         .with_default_thinking_effort(config.get_goose_thinking_effort());
@@ -36,12 +36,13 @@ pub fn model_config_from_user_config_with_session_settings(
 }
 
 pub fn materialize_model_config(provider_name: &str, model: ModelConfig) -> Result<ModelConfig> {
-    let model = materialize_model_config_inner(model, true)?;
+    let model = materialize_model_config_inner(model, provider_name, true)?;
     Ok(model.with_canonical_limits(provider_name))
 }
 
 fn materialize_model_config_inner(
     mut model: ModelConfig,
+    provider_name: &str,
     include_default_thinking_effort: bool,
 ) -> Result<ModelConfig> {
     let config = Config::global();
@@ -62,6 +63,10 @@ fn materialize_model_config_inner(
         model = model.with_default_thinking_effort(config.get_goose_thinking_effort());
     }
 
+    if provider_name == goose_providers::openai::OPEN_AI_PROVIDER_NAME {
+        model = apply_openai_request_params(model);
+    }
+
     Ok(model)
 }
 
@@ -152,6 +157,17 @@ async fn provider_default_fast_model(provider_name: &str) -> Option<String> {
         .and_then(|entry| entry.metadata().fast_model.clone())
 }
 
+fn apply_openai_request_params(mut model: ModelConfig) -> ModelConfig {
+    let config = Config::global();
+    if let Some(store) = config.get_openai_store() {
+        model = model.with_merged_request_params(HashMap::from([(
+            "store".to_string(),
+            serde_json::json!(store),
+        )]));
+    }
+    model
+}
+
 fn base_model_config_from_user_config(model_name: &str) -> Result<ModelConfig> {
     let config = Config::global();
     let mut model = ModelConfig {

documentation/docs/getting-started/providers.md

@@ -289,6 +289,7 @@ Need to connect to multiple OpenAI-compatible endpoints? [Configure custom provi
 | `OPENAI_ORGANIZATION` | No | Organization ID for usage tracking and governance |
 | `OPENAI_PROJECT` | No | Project identifier for resource management |
 | `OPENAI_CUSTOM_HEADERS` | No | Additional headers to include in the request. Can be set via environment variable, configuration file, or CLI, in the format `HEADER_A=VALUE_A,HEADER_B=VALUE_B`. |
+| `OPENAI_STORE` | No | Whether to persist the generated Responses API response for later retrieval via API. Defaults to `false`. |
 
 #### Example Configurations