[BUGF-ASB][Fixed AttrError in ASB]

[IlumCI]

Description

Fixed multiple issues in AutoSwarmBuilder that were preventing the execute-swarm-router execution type from working correctly.

Issue

#1115

Dependencies

No new dependencies required.

Tag maintainer

@kyegomez

Twitter handle

https://x.com/IlumTheProtogen

Code Changes

Problem: Missing execute-swarm-router execution type in run method

# OLD CODE (broken):
def run(self, task: str, *args, **kwargs):
    try:
        if self.execution_type == "return-agents":
            return self.create_agents(task)
        elif self.execution_type == "return-swarm-router-config":
            return self.create_router_config(task)
        elif self.execution_type == "return-agents-objects":
            agents = self.create_agents(task)
            return self.create_agents_from_specs(agents)
        else:
            raise ValueError(f"Invalid execution type: {self.execution_type}")

The execute-swarm-router execution type was missing, preventing _execute_task from being called.

Solution: Added execute-swarm-router execution type

# NEW CODE (working):
def run(self, task: str, *args, **kwargs):
    try:
        if self.execution_type == "return-agents":
            return self.create_agents(task)
        elif self.execution_type == "execute-swarm-router":
            return self._execute_task(task)
        elif self.execution_type == "return-swarm-router-config":
            return self.create_router_config(task)
        elif self.execution_type == "return-agents-objects":
            agents = self.create_agents(task)
            return self.create_agents_from_specs(agents)
        else:
            raise ValueError(f"Invalid execution type: {self.execution_type}")

Problem: Missing JSON parsing in create_agents method

# OLD CODE (broken):
def create_agents(self, task: str):
    try:
        logger.info("Creating agents from specifications")
        model = self.build_llm_agent(config=Agents)
        agents_dictionary = model.run(task)
        return agents_dictionary

The LLM returns a JSON string, but the code expected a dictionary.

Solution: Added JSON parsing

# NEW CODE (working):
def create_agents(self, task: str):
    try:
        logger.info("Creating agents from specifications")
        model = self.build_llm_agent(config=Agents)
        agents_dictionary = model.run(task)
        
        # Parse JSON string if needed
        if isinstance(agents_dictionary, str):
            agents_dictionary = json.loads(agents_dictionary)
        
        return agents_dictionary

Problem: AgentSpec to Agent conversion issue

# OLD CODE (broken):
for agent_config in agents_list:
    if isinstance(agent_config, dict):
        agent_config = AgentSpec(**agent_config)
    agent = Agent(**agent_config)  # TypeError: Agent() argument after ** must be a mapping, not AgentSpec

Solution: Convert AgentSpec to dictionary

# NEW CODE (working):
for agent_config in agents_list:
    if isinstance(agent_config, dict):
        agent_config = AgentSpec(**agent_config)
    
    # Convert AgentSpec to dict for Agent constructor
    if hasattr(agent_config, 'dict'):
        agent_dict = agent_config.dict()
    elif hasattr(agent_config, 'model_dump'):
        agent_dict = agent_config.model_dump()
    else:
        agent_dict = agent_config

    agent = Agent(**agent_dict)
    agents.append(agent)

The fix ensures AutoSwarmBuilder can successfully create agents and execute swarm workflows with the execute-swarm-router execution type.

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📚 Documentation preview 📚: https://swarms--1117.org.readthedocs.build/en/1117/