ajoute et implementation de la communication etre Satellite

main.py

@@ -1,34 +1,67 @@
-from stellar.base_stellar import Stellar
-from satellites.atlasSat.atlas import Atlas
-from satellites.lilithSat.lilith import Lilith
-from satellites.pythagorasSat.pythagoras import Pythagoras
-from satellites.shakaSat.shaka import Shaka
-from satellites.edisonSat.edison import Edison
-from satellites.yorkSat.york import York
-from typing import Dict, Any
-
-stellar = Stellar()
-atlas = Atlas()
-lilith = Lilith()
-pythagoras = Pythagoras()
-shaka = Shaka()
-edison = Edison()
-york = York()
-
-
-
-stellar.register_satellites(atlas)
-stellar.register_satellites(lilith)
-stellar.register_satellites(pythagoras)
-stellar.register_satellites(shaka)
-stellar.register_satellites(edison)
-stellar.register_satellites(york)
-
-
-# Exemple de communication
-response = stellar.route_communication("Shaka", "Atlas", {"type": "monitor_directory", "content": "Suspicious activity detected"})
-print(response)
-
-# Exemple de diffusion
-results = stellar.broadcast_message("Shaka", {"type": "ethics_update", "content": "New ethical guidelines"})
-print(results)
+import openai
+from dotenv import load_dotenv
+import os
+from mistralai import Mistral
+from dotenv import load_dotenv
+load_dotenv()
+api_key = os.getenv("MISTRAL_API_KEY")
+model = "mistral-large-latest"
+
+client = Mistral(api_key=api_key)
+
+while True:
+    chat_response = client.chat.complete(
+        model=model,
+        messages=[{"role":"user", "content":input("Enter your message: ")}]
+
+    )
+    if chat_response.choices[0].message.content == "Goodbye":
+        break
+    print(chat_response.choices[0].message.content)
+
+
+print("Aurevoir")
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+#
+# stellar = Stellar()
+# atlas = Atlas()
+# lilith = Lilith()
+# pythagoras = Pythagoras()
+# shaka = Shaka()
+# edison = Edison()
+# york = York()
+
+#
+# stellar.register_satellites(atlas)
+# stellar.register_satellites(lilith)
+# stellar.register_satellites(pythagoras)
+# stellar.register_satellites(shaka)
+# stellar.register_satellites(edison)
+# stellar.register_satellites(york)
+#
+#
+# # Exemple de communication
+# response = stellar.route_communication("Shaka", "Atlas", {"type": "monitor_directory", "content": "Suspicious activity detected"})
+# print(response)
+#
+# # Exemple de diffusion
+# results = stellar.broadcast_message("Shaka", {"type": "ethics_update", "content": "New ethical guidelines"})
+# print(results)

req.txt

@@ -11,4 +11,4 @@ psutil
 python-dotenv
 beautifulsoup4
 langchain-anthropic
-
+mistralai

satellites/atlasSat/atlas.py

@@ -18,6 +18,8 @@ class Atlas(VegapunkSatellite):
         self.email_config ={}
         self.external_systems = {}
         # logging.basicConfig(filename='atlas.log', level=logging.INFO)
+        self.llm_api_key = os.getenv("MISTRAL_API_KEY")
+        self.llm_api_url = "https://api.mistral.ai/v1/chat/completions"  # Example usi
         self.logger = get_logger("atlas")
     def process_task(self, task: Dict[str, Any]) -> Dict[str, Any]:
         task_type = task.get("type")

satellites/edisonSat/edison.py

@@ -13,8 +13,8 @@ fonction = "Générer des idées innovantes et évaluer leur faisabilité techni
 class Edison(VegapunkSatellite):
     def __init__(self):
         super().__init__(name="Edison", specialty=role)
-        self.llm_api_key = os.getenv("LLM_API_KEY")
-        self.llm_api_url = "https://api.openai.com/v1/chat/completions"  # Example using OpenAI's API
+        self.llm_api_key = os.getenv("MISTRAL_API_KEY")
+        self.llm_api_url = "https://api.mistral.ai/v1/chat/completions"  # Example using OpenAI's API
         self.external_apis = {
             "math": "http://api.mathjs.org/v4/",
             "wolfram": "http://api.wolframalpha.com/v1/result"

satellites/lilithSat/lilith.py

@@ -1,3 +1,5 @@
+import os
+
 from satellites.base_satellite import VegapunkSatellite
 from typing import Dict, Any, List
 import random
@@ -18,6 +20,8 @@ class Lilith(VegapunkSatellite):
                                           "Contraintes extrêmes"]
         # logging.basicConfig(filename='lilith_log.txt', level=logging.INFO)
         self.external_apis = {}
+        self.llm_api_key = os.getenv("MISTRAL_API_KEY")
+        self.llm_api_url = "https://api.mistral.ai/v1/chat/completions"  # Example usi
         self.logger = get_logger("lilith")
 
     def process_task(self, task: Dict[str, Any]) -> Dict[str, Any]:

satellites/pythagorasSat/pythagoras.py

@@ -32,8 +32,8 @@ fonction = "Effectuer des calculs complexes et analyser des ensembles de donnée
 class Pythagoras(VegapunkSatellite):
     def __init__(self):
         super().__init__(name="Pythagoras", specialty="Role")
-        self.llm_api_key = os.getenv("LLM_API_KEY")
-        self.llm_api_url = "https://api.openai.com/v1/chat/completions"  # Example using OpenAI's API
+        self.llm_api_key = os.getenv("MISTRAL_API_KEY")
+        self.llm_api_url = "https://api.mistral.ai/v1/chat/completions"  # Example using OpenAI's API
         self.research_databases = {
             "scientific": "https://api.example-scientific-db.com/search",
             "news": "https://api.example-news-db.com/search",

satellites/shakaSat/shaka.py

@@ -14,11 +14,6 @@ from openai import OpenAI
 
 load_dotenv()
 
-client = OpenAI(
-    organization= os.getenv("OPENAI_ORG"),
-    project= '$Dr-Vegapunk'
-
-)
 
 
 role = "logique, éthique et analyse"
@@ -29,8 +24,8 @@ class Shaka(VegapunkSatellite):
         super().__init__(name="Shaka", specialty=role)
         self.nlp = self._initialize_nlp_tools()
         # logging.basicConfig(filename='shaka.log', level=logging.INFO)
-        self.llm_api_key = os.getenv("DR_VEGAPUNG_API_KEY")
-        self.llm_api_url = "https://api.openai.com/v1/chat/completions"  # Example using OpenAI's API
+        self.llm_api_key = os.getenv("MISTRAL_API_KEY")
+        self.llm_api_url = "https://api.mistral.ai/v1/chat/completions"  # Example using OpenAI's API
         self.fact_check_api = "https://factchecktools.googleapis.com/v1alpha1/claims:search"
         self.fact_check_api_key = os.getenv("FACT_CHECK_API_KEY")
         self.ethical_filter_active = True