add agent and client implementation

Author: alexh-scrt

cli.py

@@ -23,8 +23,9 @@
     HealthResponse
 )
 
-AGENT_SEED = os.getenv("AGENT_SEED", "medical-client-{int()}")
+AGENT_SEED = os.getenv("AGENT_SEED", f"medical-client-{int(time.time())}")
 AGENT_NAME = os.getenv("AGENT_NAME", "Medical Prediction Agent")
+PORT = int(os.getenv("PORT", "8008"))
 
 
 class CLIClient:
@@ -47,7 +48,8 @@ def __init__(self, agent_address: str, image_path: str, patient_id: str = None,
         self.agent = Agent(
             name="secretai-fetch-agent-cli",
             seed=f"cli-client-{int(time.time())}",
-            port=8008
+            port=PORT,
+            endpoint=f"http://localhost:{PORT}/submit"
         )
 
         self._setup_handlers()

medical_agent.py

@@ -29,7 +29,7 @@
 # Configuration
 AGENT_SEED = os.getenv("AGENT_SEED", "medical-prediction-agent-2025")
 AGENT_NAME = os.getenv("AGENT_NAME", "Medical Prediction Agent")
-API_ENDPOINT = os.getenv("API_ENDPOINT", "https://secretai-fetch.scrtlabs.com:23434/predict/breast-density")
+API_ENDPOINT = os.getenv("API_ENDPOINT", "https://secretai-fetch-morai.scrtlabs.com:23434/predict/breast-density")
 API_TOKEN = os.getenv("API_TOKEN", "bWFzdGVyQHNjcnRsYWJzLmNvbTpTZWNyZXROZXR3b3JrTWFzdGVyS2V5X18yMDI1")
 PORT = int(os.getenv("PORT", "8000"))
 TEMP_DIR = os.getenv("TEMP_DIR", "/tmp/medical_agent")