Method _store

src/agent/context.py:367–392

Add agent information to the embedding index. Args: agent_config: Agent configuration

(self, agent_config: AgentConfig)

        return agent_configs

    async def _store(self, agent_config: AgentConfig):
        """Add agent information to the embedding index.
        
        Args:
            agent_config: Agent configuration
        """
        if self._faiss_service is None:
            return
            
        try:
            # Create comprehensive text representation
            agent_text = f"Agent: {agent_config.name}\nDescription: {agent_config.description}"
            
            # Add to FAISS index
            request = FaissAddRequest(
                texts=[agent_text],
                metadatas=[{
                    "name": agent_config.name,
                    "description": agent_config.description
                }]
            )
            
            await self._faiss_service.add_documents(request)
            
        except Exception as e:
            logger.warning(f"| ⚠️ Failed to add agent {agent_config.name} to FAISS index: {e}")

    async def build(self, agent_config: AgentConfig) -> AgentConfig:
        """Create an agent instance and store it.