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Update agentos_core.py
Browse files- agentos_core.py +35 -6
agentos_core.py
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@@ -2,13 +2,19 @@ import uuid
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import json
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import os
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import time
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from identity_core import IdentityCore
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from context_graph import ContextGraph
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class Telemetry:
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@staticmethod
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def log(event, status, data=None):
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print(f"[Telemetry] {event} - {status} | {data or {}}")
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class MemoryManager:
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def __init__(self, agent_id):
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self.agent_id = agent_id
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@@ -18,6 +24,7 @@ class MemoryManager:
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json.dump({"history": []}, f)
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def save(self, data):
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with open(self.file_path, "r") as f:
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memory = json.load(f)
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memory["history"].append(data)
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@@ -25,27 +32,49 @@ class MemoryManager:
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json.dump(memory, f, indent=2)
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print(f"[Memory] {self.agent_id} learned {data}")
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def create_agent_identity():
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return str(uuid.uuid4())
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class AgentCore:
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def __init__(self, model="gpt-4o-mini"):
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"""Initialize agent with memory
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self.identity = IdentityCore()
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agent_data = self.identity.create_identity()
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self.agent_signature = agent_data["signature"]
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self.agent_id = create_agent_identity()
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self.model = model
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self.memory = MemoryManager(self.agent_id)
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self.context = ContextGraph()
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print(f"[INIT] Agent {self.agent_id} initialized with model {model}")
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def run(self, prompt):
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Telemetry.log("run_start", "in_progress", {"prompt": prompt})
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time.sleep(0.5)
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response = f"Agent {self.agent_id} processed: {prompt}"
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self.memory.save({"prompt": prompt, "response": response})
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self.context.link_context(self.agent_id, prompt, response)
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Telemetry.log("run_complete", "success", {"response": response})
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print(f"[RUN] {response}")
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return response
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import json
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import os
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import time
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from context_graph import ContextGraph
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from identity_core import IdentityCore
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# ---------- TELEMETRY ----------
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class Telemetry:
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@staticmethod
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def log(event, status, data=None):
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"""Simple logger for system events."""
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print(f"[Telemetry] {event} - {status} | {data or {}}")
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# ---------- MEMORY ----------
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class MemoryManager:
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def __init__(self, agent_id):
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self.agent_id = agent_id
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json.dump({"history": []}, f)
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def save(self, data):
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"""Save each interaction into memory."""
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with open(self.file_path, "r") as f:
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memory = json.load(f)
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memory["history"].append(data)
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json.dump(memory, f, indent=2)
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print(f"[Memory] {self.agent_id} learned {data}")
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def recall(self):
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"""Return the memory history."""
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with open(self.file_path, "r") as f:
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memory = json.load(f)
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return memory["history"]
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# ---------- IDENTITY ----------
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def create_agent_identity():
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"""Generate a unique ID for every agent instance."""
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return str(uuid.uuid4())
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# ---------- AGENT CORE ----------
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class AgentCore:
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def __init__(self, model="gpt-4o-mini"):
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"""Initialize agent with memory, telemetry, context, and identity."""
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self.agent_id = create_agent_identity()
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self.model = model
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self.memory = MemoryManager(self.agent_id)
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self.context = ContextGraph()
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self.identity = IdentityCore()
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agent_data = self.identity.create_identity()
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self.agent_signature = agent_data["signature"]
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Telemetry.log("init", "success", {
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"agent_id": self.agent_id,
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"signature": self.agent_signature
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})
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print(f"[INIT] Agent {self.agent_id} initialized with model {model}")
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def run(self, prompt):
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"""Main logic for handling a user prompt."""
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Telemetry.log("run_start", "in_progress", {"prompt": prompt})
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time.sleep(0.5)
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# Simulated processing (replace with model later)
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response = f"Agent {self.agent_id} processed: {prompt}"
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# Save to memory + link to context graph
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self.memory.save({"prompt": prompt, "response": response})
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self.context.link_context(self.agent_id, prompt, response)
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Telemetry.log("run_complete", "success", {"response": response})
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print(f"[RUN] {response}")
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return response
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