Never let a 429 error stop your AI agents again.

GoodbyeQuota is a robust Python wrapper for the Google Gemini API (google-generativeai) that manages a pool of API keys. When one key hits its rate limit or quota (ResourceExhausted), this library automatically switches to the next available key and retries the request seamlessly.

Your code doesn't crash. Your users don't wait. It just works.

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✨ Features

• 🔄 Smart Key Rotation: Automatically cycles through a list of API keys when quotas are hit.
• ⏱️ Intelligent Cooldowns: Temporarily sidelines exhausted keys so they can recover.
• 💬 Chat Persistence: Seamlessly handles key switching even inside active chat sessions.
• 🔌 Drop-in Replacement: Designed to look and feel exactly like the standard google-generativeai library.
• 🛡️ Fault Tolerance: Handles transient service errors (500/503) with automatic retries.

📦 Installation

Clone the repository and install locally:

git clone https://github.com/cmpdchtr/GoodbyeQuota.git
cd GoodbyeQuota
pip install .

🚀 Usage

1. Basic Generation

Just pass a list of keys instead of a single one.

from goodbye_quota import GoodbyeQuota

# 1. Define your pool of keys
api_keys = [
    "AIzaSy...Key1",
    "AIzaSy...Key2",
    "AIzaSy...Key3",
    # Add as many as you want!
]

# 2. Initialize the client
client = GoodbyeQuota(api_keys)

# 3. Create a model (Just like standard Gemini)
model = client.create_model("gemini-pro")

# 4. Generate content without fear
try:
    response = model.generate_content("Explain quantum computing in 5 words.")
    print(f"🤖 AI: {response.text}")
except Exception as e:
    print(f"❌ Failed: {e}")

2. Chat Sessions

GoodbyeQuota maintains the chat history even if the underlying API key changes mid-conversation.

# Start a chat
chat = model.start_chat(history=[])

while True:
    user_input = input("You: ")
    if user_input.lower() in ['exit', 'quit']:
        break
    
    # If Key #1 dies here, Key #2 takes over instantly
    response = chat.send_message(user_input)
    print(f"Gemini: {response.text}")

3. Configuration Strategies

You can choose how keys are selected:

• round_robin (Default): Cycles through keys in order (1 -> 2 -> 3 -> 1). Best for fair usage.
• random: Picks a random valid key for each request.

client = GoodbyeQuota(api_keys, strategy="random")

🧠 How It Works

1. Initialization: You provide a list of valid Gemini API keys.
2. Execution: When you call .generate_content() or .send_message(), the library configures the global Gemini environment with the current active key.
3. Error Handling:
   • If a 429 ResourceExhausted error occurs:
     • The current key is marked as "exhausted" and put in a penalty box (cooldown).
     • The library instantly switches to the next available key.
     • The request is retried automatically.
   • If all keys are exhausted, it will raise an exception (or wait, depending on future config).

⚠️ Disclaimer

This library is intended for legitimate use cases where you have multiple valid API keys (e.g., different projects, organization tiers) and want to ensure high availability. Please respect Google's Terms of Service and API usage policies.

📄 License

MIT License. Feel free to use and modify!