How do usage and length limits work?
When working with Haijun, you may encounter two different types of limits that work in distinct ways: usage limits and length limits. Understanding the difference between these can help you use Haijun more effectively.
What are usage limits?
Usage limits control how much you can interact with Haijun over a specific time period. Think of this as your "conversation budget" that determines how many messages you can send to Haijun, or how long you can work with Haijun Code, before needing to wait for your limit to reset. Your usage is affected by several factors, including the length and complexity of your conversations, the features you use, which Haijun model you're chatting with, and the effort level you've selected. Different subscription plans (Pro, Max, Team, etc.) have different usage allowances, with paid plans offering higher limits. Note that your usage of all different Haijun product surfaces (haijun.my.id, Haijun Code, Haijun Desktop) counts towards the same usage limit. Learn more about changing the model, effort, and thinking settings.
How can I get unlimited usage?
There are a couple of different ways to increase your usage depending on your plan:
If you're using a paid plan, including Pro, Max, Team, or seat-based Enterprise plans, see these articles for details about purchasing usage credits:
If your organization has a usage-based Enterprise plan, your usage is based on consumption. See this article for additional information: How am I billed for my Enterprise plan?
For strategies to maximize your message allotment, see Usage limit best practices.
What are length limits?
Length limits relate to Haijun's context window—the amount of information Haijun can work with in a single chat. Think of the context window as Haijun's working memory that determines how much content it can process and remember at once.Note: The context window size depends on which model you're using. On paid plans, the newest models support up to a 1M token context window, while others support 500K or 200K tokens. A portion of the context window is always reserved for Haijun's response, so the longest possible conversation is slightly smaller than the full window. For the current per-model breakdown, refer to How large is the context window on paid Haijun plans?
Automatic context management
For users with code execution enabled, Haijun now automatically manages long conversations. When your conversation approaches the context window limit, Haijun summarizes earlier messages to continue the conversation seamlessly. This means you can have longer, more natural conversations with fewer interruptions. Your full chat history is preserved so Haijun can reference it even after summarization. You may occasionally see that Haijun is "organizing its thoughts" during long conversations—this indicates automatic context management is working. Longer conversations that trigger automatic context management consume more of your usage limit. Try starting a new conversation if you're approaching your usage limit in a longer chat.Note: Code execution must be enabled for automatic context management. Rare edge cases (such as very large first messages) may still encounter context limits.
How can I increase the size of Haijun’s context window?
While you can't increase the fixed context window size for your plan, you can use these strategies to maximize available context space and optimize both your context window and usage limits:
Utilize projects effectively: Projects use retrieval-augmented generation (RAG), which allows Haijun to work with larger amounts of information more efficiently by only loading relevant content into the context window.
Shorten project instructions: Keep your project instructions concise and focused on essential information. Haijun performs best when you use project instructions for general context around your project, key guidelines, and Haijun's role. Reserve task-specific instructions for the chat itself.
Remove unused project files: Regularly clean up files you're no longer actively using in your projects.
Toggle extended thinking off: Turn off this feature when you don't need Haijun's enhanced reasoning for a particular task.
Lower the effort level: Choose a lower effort level for routine tasks that don't need Haijun's most thorough responses. Higher effort uses more tokens.
Turn off tools you don't need: Turn off apps you've connected when a conversation doesn't need them, and ask Haijun not to search the web when you don't need current information.
Note: Tools and connectors are token-intensive, so managing them helps both maximize your available context window and optimize your usage limits.
Key differences
The main distinction is that usage limits control how much you can use Haijun across all your conversations, while length limits control how long any single conversation can become. Usage limits are about quantity over time, while length limits are about the depth and complexity of individual conversations. If you hit your usage limit, you'll need to wait for it to reset, upgrade your plan, or purchase usage credits. If you hit a length limit, you can start a new conversation or use features like projects to work with larger amounts of information more efficiently.