Multi-Agent Orchestration

from gaia_agent_routing.agent import RoutingAgent

# Create router (no interactive mode - uses defaults)
router = RoutingAgent(api_mode=True)

# Router analyzes query and selects appropriate agent
result = router.process_query(
    query="Create a React app with authentication",
    execute=True,  # Execute immediately and return result
    workspace_root="./my-project"
)

print(result)
# Router automatically:
# 1. Detects this is a code generation task
# 2. Creates a CodeAgent instance
# 3. Executes the query
# 4. Returns the result

from gaia_agent_routing.agent import RoutingAgent

# Create router with user interaction
router = RoutingAgent(api_mode=False)

# Router will ask clarifying questions
agent = router.process_query(
    query="Build a web app",
    execute=False  # Return agent instance, don't execute
)

# Router might ask:
# "What programming language? (React/Vue/Python Flask/etc.)"
# "What features do you need?"

# Once resolved, returns configured agent
result = agent.process_query("Build the app")

from gaia_agent_routing.agent import RoutingAgent

router = RoutingAgent(api_mode=False)

# Multi-turn disambiguation
conversation_history = []

# First query (ambiguous)
user_query = "Create an issue"
agent = router.process_query(
    query=user_query,
    conversation_history=conversation_history,
    execute=False
)
# Router: "Which system? (Jira/GitHub/GitLab)"

# User clarifies
conversation_history.append({"role": "user", "content": "Jira"})

# Router re-analyzes with context
agent = router.process_query(
    query=user_query,
    conversation_history=conversation_history,
    execute=False
)
# Now returns configured JiraAgent

from gaia_agent_routing.agent import RoutingAgent

router = RoutingAgent(api_mode=True)

# Router detects intent and routes to appropriate agent:

# Code generation -> CodeAgent
result = router.process_query(
    "Build a Python REST API with FastAPI",
    execute=True
)

# Issue tracking -> JiraAgent
result = router.process_query(
    "Show my high priority bugs",
    execute=True
)

# Containerization -> DockerAgent
result = router.process_query(
    "Create a Dockerfile for this Node.js app",
    execute=True,
    workspace_root="./my-app"
)