feat: Implement base AIOrchestrator for agent coordination #10
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WalkthroughThe orchestrator module is refactored to introduce an abstract Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes The change involves substantial API refactoring and architectural shifts within a single file—transitioning from concrete implementation to abstract patterns—requiring careful review of method contracts and design intent, but localized scope limits overall complexity. Possibly related PRs
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✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (4)
backend/app/core/orchestrator.py (4)
3-7: Make this a formal abstract base class.Declare AIOrchestrator as abstract to enforce contracts at instantiation.
Apply this diff:
-class AIOrchestrator: +class AIOrchestrator(ABC):Add imports outside this hunk:
from abc import ABC, abstractmethod from typing import Protocol, Any class Agent(Protocol): async def run(self, *args: Any, **kwargs: Any) -> Any: ...
10-10: Type the agents collection (and consider immutability snapshot).Annotate for clarity and static checks; snapshot before execution to avoid mid-run mutation.
- self.agents = [] + self.agents: list[Agent] = []
12-19: Enforce contract on registration.Mark as abstract; optionally validate the agent exposes an async run.
- def register_agent(self, agent): + @abstractmethod + def register_agent(self, agent): """ Registers an AI agent with the orchestrator. Args: agent: An instance of an AI agent. """ - raise NotImplementedError + raise NotImplementedErrorOptional validation if you choose a default impl (outside abstract path):
if not hasattr(agent, "run") or not callable(agent.run): raise TypeError("agent must define an async run(*args, **kwargs) method") self.agents.append(agent)
31-39: Abstract aggregation with a simple default option.Keep abstract, or default to pass-through if no aggregation needed.
- def aggregate_results(self, results): + @abstractmethod + def aggregate_results(self, results): @@ - raise NotImplementedError + raise NotImplementedErrorOptional default:
return results
| async def execute_agents(self, *args, **kwargs): | ||
| """ | ||
| Executes all registered AI agents in parallel asynchronously. | ||
| Args: | ||
| *args: Variable length argument list for agent execution. | ||
| **kwargs: Arbitrary keyword arguments for agent execution. | ||
| Returns: | ||
| A list of results from each agent. | ||
| """ | ||
| raise NotImplementedError |
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🧩 Analysis chain
Abstract method + suggested default concurrent pattern.
Make the API abstract; if you prefer a default, use gather with a snapshot.
- async def execute_agents(self, *args, **kwargs):
+ @abstractmethod
+ async def execute_agents(self, *args, **kwargs):
"""
Executes all registered AI agents in parallel asynchronously.
@@
- raise NotImplementedError
+ raise NotImplementedErrorOptional default implementation:
agents = tuple(self.agents)
if not agents:
return []
coros = [a.run(*args, **kwargs) for a in agents]
return await asyncio.gather(*coros)Verify call-site breakages from prior API:
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#!/bin/bash
# Find old symbols to update across the repo
rg -n -C2 -S '\bOrchestrator\b|execute_agents_concurrently\b|_run_agent_safely\b|registered_agents\b'Length of output: 2500
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#!/bin/bash
# Get the full Orchestrator class definition to see all methods
cat backend/app/core/orchestrator.pyLength of output: 1123
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#!/bin/bash
# Check for all uses of execute_agents (both variants) in the entire codebase
rg -n 'def execute_agents|\.execute_agents' --type=pyLength of output: 442
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#!/bin/bash
# Check if there are subclasses of Orchestrator
rg -n 'class.*Orchestrator\)' --type=pyLength of output: 0
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#!/bin/bash
# Check for imports/aliases in orchestrator.py
head -20 backend/app/core/orchestrator.py
tail -5 backend/app/core/orchestrator.pyLength of output: 647
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#!/bin/bash
# Search for where execute_agents_concurrently is defined
rg -n 'def execute_agents_concurrently' --type=pyLength of output: 0
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#!/bin/bash
# Check if Orchestrator is aliased to AIOrchestrator in orchestrator.py
rg -n 'Orchestrator' backend/app/core/orchestrator.pyLength of output: 23
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#!/bin/bash
# Check __init__.py for exports
cat backend/app/core/__init__.pyLength of output: 60
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#!/bin/bash
# Get full test file to see if it would even execute
cat backend/tests/test_orchestrator.pyLength of output: 2876
Critical API inconsistencies prevent code execution; incomplete refactoring.
The review suggestion to add @abstractmethod is valid but incomplete. Multiple breaking issues exist:
-
Import failure: Tests import
Orchestratorbut orchestrator.py definesAIOrchestrator—class name mismatch. -
Missing method: All call sites invoke
execute_agents_concurrently()(test lines 27, 52; routes line 36), but onlyexecute_agents()exists in the base class. The called method doesn't exist in the codebase. -
Signature mismatch: Base class defines
register_agent(self, agent)with one parameter, but tests callorchestrator.register_agent("AgentOne", mock_agent_one)with two parameters (name, agent). -
Missing concrete implementation: No
Orchestratorclass or implementation ofexecute_agents_concurrently()found anywhere.
Tests will fail immediately on import.
2 participants
Overview: This PR introduces the foundational
AIOrchestratorbase class to manage and coordinate multiple AI agents.Changes
app/core/orchestrator.pyto house the new orchestrator logic.AIOrchestratorbase class with placeholder methods:register_agent(),execute_agents(), andaggregate_results().asyncio.gather.Summary by CodeRabbit