Initial MVP

scripts/LLMService.gd

@@ -0,0 +1,72 @@
+class_name LLMService extends Node
+
+signal response_received(response_dict: Dictionary)
+signal error_occurred(message: String)
+
+var http_request: HTTPRequest
+var api_key: String = ""
+var api_url: String = "https://openrouter.ai/api/v1/chat/completions"
+var model: String = "google/gemini-2.5-flash-preview-09-2025"
+
+func _ready():
+	http_request = HTTPRequest.new()
+	add_child(http_request)
+	http_request.request_completed.connect(_on_request_completed)
+	_load_api_key()
+
+func _load_api_key():
+	var config = ConfigFile.new()
+	var err = config.load("user://secrets.cfg")
+	if err == OK:
+		api_key = config.get_value("auth", "openrouter_key", "")
+	else:
+		print("No secrets.cfg found. Please create one with [auth] openrouter_key=...")
+
+func send_prompt(system_prompt: String, user_input: String):
+	if api_key == "":
+		emit_signal("error_occurred", "API Key missing. Please check user://secrets.cfg")
+		return
+
+	var headers = [
+		"Content-Type: application/json",
+		"Authorization: Bearer " + api_key,
+		"HTTP-Referer: https://github.com/vibecoding/storyteller",
+		"X-Title: Storyteller"
+	]
+	
+	var body = {
+		"model": model,
+		"messages": [
+			{"role": "system", "content": system_prompt},
+			{"role": "user", "content": user_input}
+		],
+		"response_format": {"type": "json_object"}
+	}
+	
+	var json_body = JSON.stringify(body)
+	var error = http_request.request(api_url, headers, HTTPClient.METHOD_POST, json_body)
+	if error != OK:
+		emit_signal("error_occurred", "HTTP Request failed: " + str(error))
+
+func _on_request_completed(result, response_code, headers, body):
+	if response_code != 200:
+		emit_signal("error_occurred", "API Error: " + str(response_code) + " " + body.get_string_from_utf8())
+		return
+		
+	var json = JSON.new()
+	var parse_result = json.parse(body.get_string_from_utf8())
+	if parse_result != OK:
+		emit_signal("error_occurred", "JSON Parse Error")
+		return
+		
+	var response = json.get_data()
+	if "choices" in response and response["choices"].size() > 0:
+		var content = response["choices"][0]["message"]["content"]
+		# Parse the content as JSON again since the LLM returns a string containing JSON
+		var content_json = JSON.new()
+		if content_json.parse(content) == OK:
+			emit_signal("response_received", content_json.get_data())
+		else:
+			emit_signal("error_occurred", "LLM returned invalid JSON: " + content)
+	else:
+		emit_signal("error_occurred", "Invalid API response structure")