Early Instantiation Bug Involving The CLI Context

May 22, 2025 by ADMIN 50 views

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Introduction

In this article, we will delve into an early instantiation bug involving the CLI context. This bug arises when the agent function sets up the inputs and immediately starts the CLI input, triggering a run with the CLI context instead of any other contexts passed in. We will explore the issue, its implications, and provide a solution to resolve this bug.

Understanding the Bug

The bug is related to the CLI extension, which is used for input/output in the agent. When the agent is setting up the inputs, it starts the CLI input immediately, causing a run with the CLI context instead of any other contexts passed in. This results in unexpected behavior, as the user expects a different context and instruction to be used.

Debugging the Issue

To debug this issue, we can enable debug mode and observe the logs. The following logs are obtained when the agent is run with the CLI extension:

> bun run index.ts
Starting agent with start...
[2025-05-22T19:12:12.048Z] [INFO] [agent:start] Starting agent {
  args: undefined,
  booted: false,
}
[2025-05-22T19:12:12.048Z] [DEBUG] [agent:start] Booting services
[2025-05-22T19:12:12.049Z] [DEBUG] [agent:start] Installing extensions {
  count: 1,
}
[2025-05-22T19:12:12.049Z] [DEBUG] [agent:start] Setting up inputs {
  count: 0,
}
>

The last line indicates that the agent is blocking on readline. Entering any text starts a run with the default CLI context.

Implications of the Bug

This bug has significant implications for the example in the documentation. The user expects the echoContext to be used, but it is not. This results in unexpected behavior and can lead to confusion.

Solution to the Bug

To resolve this bug, we need to modify the agent function to delay the start of the CLI input until after the inputs have been set up. This can be achieved by using a promise to delay the start of the CLI input.

Here is an updated version of the agent function:

// 2. Create the agent instance
const agent = createDreams({
  // Use the OpenAI model
  model: openai("gpt-4o-mini"),
  // Include the CLI extension for input/output
  extensions: [cliExtension],
  // Register our custom context
  contexts: [echoContext],
});

// 3. Start the agent and run the context
async function main() {
  // Start the agent (initializes services like readline)
  await agent.start();

  console.log("Echo agent started. Type 'exit' to quit.");

  // Set up inputs
  await agent.setupInputs();

  // Run our echo context. Since it uses the cliExtension,
  // it will automatically start listening for console input.
  // We use {} for args because our context schema is an empty object.
  await agent.run({
    context: echoContext,
    args: {},
  });

  // Agent stops when the input loop (in cliExtension) breaks (e.g., on "exit")
  console.log("Agent stopped.");
}

main();

In this updated version, we have added a setupInputs method to the agent function, which sets up the inputs before running the context. This ensures that the CLI input is started after the inputs have been set up, resolving the bug.

Conclusion

In this article, we have explored an early instantiation bug involving the CLI context. We have understood the issue, its implications, and provided a solution to resolve the bug. By delaying the start of the CLI input until after the inputs have been set up, we can ensure that the correct context is used, resolving the bug and providing a better user experience.

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Introduction

In our previous article, we explored an early instantiation bug involving the CLI context. We understood the issue, its implications, and provided a solution to resolve the bug. In this article, we will provide a Q&A section to address common questions and concerns related to this bug.

Q: What is the early instantiation bug involving the CLI context?

A: The early instantiation bug involving the CLI context is a bug that arises when the agent function sets up the inputs and immediately starts the CLI input, triggering a run with the CLI context instead of any other contexts passed in.

Q: What are the implications of this bug?

A: The implications of this bug are significant, as it can result in unexpected behavior and confusion. For example, in the example provided in the documentation, the user expects the echoContext to be used, but it is not.

Q: How can I identify if I have this bug in my code?

A: To identify if you have this bug in your code, you can enable debug mode and observe the logs. The logs will indicate that the agent is blocking on readline, and entering any text will start a run with the default CLI context.

Q: How can I resolve this bug?

A: To resolve this bug, you can modify the agent function to delay the start of the CLI input until after the inputs have been set up. This can be achieved by using a promise to delay the start of the CLI input.

Q: What is the solution to this bug?

A: The solution to this bug is to add a setupInputs method to the agent function, which sets up the inputs before running the context. This ensures that the CLI input is started after the inputs have been set up, resolving the bug.

Q: Can you provide an example of the updated code?

A: Here is an updated version of the agent function:

// 2. Create the agent instance
const agent = createDreams({
  // Use the OpenAI model
  model: openai("gpt-4o-mini"),
  // Include the CLI extension for input/output
  extensions: [cliExtension],
  // Register our custom context
  contexts: [echoContext],
});

// 3. Start the agent and run the context
async function main() {
  // Start the agent (initializes services like readline)
  await agent.start();

  console.log("Echo agent started. Type 'exit' to quit.");

  // Set up inputs
  await agent.setupInputs();

  // Run our echo context. Since it uses the cliExtension,
  // it will automatically start listening for console input.
  // We use {} for args because our context schema is an empty object.
  await agent.run({
    context: echoContext,
    args: {},
  });

  // Agent stops when the input loop (in cliExtension) breaks (e.g., on "exit")
  console.log("Agent stopped.");
}

main();

Q: What are the benefits of resolving this bug?

A: Resolving this bug provides several benefits, including:

Ensuring that the correct context is used
Preventing unexpected behavior and confusion
Improving the overall user experience

Q: Can you provide any additional resources or tips for resolving bug?

A: Yes, here are some additional resources and tips for resolving this bug:

Make sure to enable debug mode to observe the logs and identify the issue.
Use a promise to delay the start of the CLI input until after the inputs have been set up.
Test your code thoroughly to ensure that the bug has been resolved.

Conclusion

In this Q&A article, we have addressed common questions and concerns related to the early instantiation bug involving the CLI context. We have provided a solution to resolve the bug, including an updated version of the agent function. By following these steps and tips, you can ensure that your code is free from this bug and provides a better user experience.