autogen - 💡(How to fix) Fix Add WordOrb Education Agents — vocabulary tutoring + quiz assessment [1 participants]

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microsoft/autogen#7434Fetched 2026-04-08 01:13:35
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AutoGen agents for the WordOrb deterministic education API. A vocabulary tutor agent and quiz assessment agent that deliver structured 5-phase lessons across 47 languages and 162K words.

Root Cause

AutoGen agents for the WordOrb deterministic education API. A vocabulary tutor agent and quiz assessment agent that deliver structured 5-phase lessons across 47 languages and 162K words.

RAW_BUFFERClick to expand / collapse

Agent Proposal: WordOrb / The Daily Lesson

Description

AutoGen agents for the WordOrb deterministic education API. A vocabulary tutor agent and quiz assessment agent that deliver structured 5-phase lessons across 47 languages and 162K words.

Agent Repository

https://github.com/nicoletterankin/wordorb-autogen

Contains wordorb_agent.py (tools) and daily_lesson_agents.py (group chat with tutor + assessor agents).

API

  • Base URL: https://wordorb.ai/api
  • Auth: Bearer token (free tier: 500 calls/day)
  • MCP Server: https://mcp.thedailylesson.com/mcp (19 tools)

Agent Capabilities

  • Vocabulary Tutor: Delivers today's daily lesson, looks up words, explains etymology
  • Quiz Assessor: Generates and evaluates quiz questions aligned to lessons
  • Group Chat: Multi-agent collaboration for complete learning sessions

Use Cases

  • AI tutoring systems
  • Daily vocabulary practice
  • Multilingual education (47 languages)
  • Structured assessment delivery

Publisher

Lesson of the Day, PBC — https://lotdpbc.com Website: https://thedailylesson.com

extent analysis

Fix Plan

To address the issue, we need to implement a rate limiting mechanism to prevent exceeding the 500 calls/day limit of the WordOrb API.

Step-by-Step Solution

  • Implement a token bucket algorithm to track API calls:
    • Initialize a counter for the remaining calls
    • Decrease the counter for each API call
    • Increase the counter at a fixed rate (e.g., 500 calls/day)
  • Modify the wordorb_agent.py and daily_lesson_agents.py files to use the rate limiter:
import time

class RateLimiter:
    def __init__(self, max_calls, period):
        self.max_calls = max_calls
        self.period = period
        self.remaining_calls = max_calls
        self.last_update = time.time()

    def allow_request(self):
        current_time = time.time()
        elapsed_time = current_time - self.last_update
        self.remaining_calls = min(self.max_calls, self.remaining_calls + elapsed_time * (self.max_calls / self.period))
        self.last_update = current_time

        if self.remaining_calls >= 1:
            self.remaining_calls -= 1
            return True
        else:
            return False

# Usage example
rate_limiter = RateLimiter(500, 86400)  # 500 calls/day

def make_api_call():
    if rate_limiter.allow_request():
        # Make API call
        print("API call allowed")
    else:
        # Handle rate limit exceeded
        print("Rate limit exceeded")

make_api_call()

Verification

  • Test the rate limiter with multiple API calls to ensure it correctly tracks the remaining calls and prevents exceeding the limit.
  • Verify that the allow_request method returns False when the rate limit is exceeded.

Extra Tips

  • Consider implementing a queue to handle requests that exceed the rate limit, allowing them to be processed when the rate limit is reset.
  • Monitor API call usage and adjust the rate limiter configuration as needed to prevent exceeding the limit.

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