Continue search in same chat stream.

Pass recent chat messages into the job search request so follow-up queries keep conversational context instead of acting like a fresh chat.

Co-authored-by: Cursor <cursoragent@cursor.com>

App for Indeed/Views/DashboardView.swift

@@ -1203,7 +1203,8 @@ final class DashboardView: NSView, NSTextFieldDelegate {
         isAwaitingResponse = true
         chatStatusLabel.stringValue = "Thinking..."
         setInputEnabled(false)
-        jobSearchService.searchJobs(query: prompt) { [weak self] result in
+        let contextMessages = chatMessages
+        jobSearchService.searchJobs(query: prompt, conversation: contextMessages) { [weak self] result in
             DispatchQueue.main.async {
                 guard let self else { return }
                 self.isAwaitingResponse = false
@@ -1556,7 +1557,7 @@ private final class OpenAIJobSearchService {
     private let endpoint = URL(string: "https://api.openai.com/v1/responses")!
     private let session = URLSession(configuration: .ephemeral)
 
-    func searchJobs(query: String, completion: @escaping (Result<JobSearchOutput, Error>) -> Void) {
+    func searchJobs(query: String, conversation: [ChatMessage], completion: @escaping (Result<JobSearchOutput, Error>) -> Void) {
         let apiKey = OpenAIConfiguration.apiKey
         guard OpenAIConfiguration.hasAPIKey else {
             completion(.failure(NSError(
@@ -1573,8 +1574,25 @@ private final class OpenAIJobSearchService {
         request.setValue("Bearer \(apiKey)", forHTTPHeaderField: "Authorization")
         request.timeoutInterval = 45
 
+        let recentContext = conversation.suffix(8)
+            .map { "\($0.role.uppercased()): \($0.content)" }
+            .joined(separator: "\n")
+        let contextBlock: String
+        if recentContext.isEmpty {
+            contextBlock = "No prior conversation context."
+        } else {
+            contextBlock = recentContext
+        }
+
         let instructions = """
-        Search the web for currently available jobs related to this role query: "\(query)".
+        Continue this same job-search conversation. Use prior context when useful, and prioritize the latest user query.
+
+        Conversation context:
+        \(contextBlock)
+
+        Latest user query: "\(query)"
+
+        Search the web for currently available jobs related to the latest query (and relevant context above).
         Return ONLY strict JSON that matches this schema:
         {
           "jobs": [