5 Easy Steps to Run Claude Dev Locally

5 Easy Steps to Run Claude Dev Locally

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5 Easy Steps to Run Claude Dev Locally

For a seamless native improvement expertise with Claude, you may arrange an area atmosphere utilizing Docker. This strategy gives a number of benefits, together with the power to rapidly spin up an area occasion of Claude, isolate the event atmosphere out of your host machine, and collaborate with others on the identical mission.

To start, guarantee that you’ve got Docker put in in your machine. As soon as Docker is ready up, you may clone the Claude GitHub repository and navigate to the listing the place it’s positioned. From there, run the next command to construct the Docker picture:

“`
docker construct -t claude-dev .
“`

Setting Up Native Claude Improvement Surroundings

To start engaged on Claude improvement domestically, you will want to put in the next instruments:

  • Node.js model 12 or increased
  • Python model 3.7 or increased
  • A Python digital atmosphere
  • The Claude CLI

Putting in Node.js and npm

To put in Node.js and npm, go to the Node.js web site and observe the directions in your working system. As soon as Node.js is put in, confirm the set up by operating the next command in your terminal:

node -v

Putting in Python and Making a Python Digital Surroundings

To put in Python, go to the Python web site and observe the directions in your working system. As soon as Python is put in, create a Python digital atmosphere utilizing the next command:

python3 -m venv venv

This may create a digital atmosphere named venv within the present listing. Activate the digital atmosphere by operating the next command:

supply venv/bin/activate

Putting in the Claude CLI

To put in the Claude CLI, run the next command in your terminal:

npm set up -g @netlify/claude-cli

Cloning the Claude Repository

Clone the Claude repository from GitHub by operating the next command:

git clone https://github.com/netlify/claude

Putting in the Claude Improvement Dependencies

Set up the Claude improvement dependencies by operating the next command within the cloned repository listing:

npm set up

Working the Claude Improvement Server

Begin the Claude improvement server by operating the next command within the cloned repository listing:

npm begin

The event server will run on port 8000. You’ll be able to entry the Claude dashboard at http://localhost:8000.

Making a Claude Challenge

To create a brand new Claude mission, start by opening your command-line terminal and navigating to the specified listing. Then, execute the next command:

For Node.js tasks:

npx create-claude-app my-app

For Python tasks:

pip set up claude-dev

claude-dev init my-app

This command will create a brand new mission listing with all the required boilerplate code and configuration recordsdata. Subsequent, navigate into the newly created mission listing utilizing the command:

cd my-app

Now, you can begin constructing and growing your individual customized Claude features or different functions utilizing the accessible toolkits and assets supplied by the Claude Improvement Equipment.

Working and Testing Your Challenge

Upon getting created your Claude mission and written some code, you may run and check it domestically utilizing the next steps:

For Node.js tasks:

1. Set up the required dependencies utilizing the command:

“`
npm set up
“`

2. Run the event server utilizing the command:

“`
npm begin
“`

For Python tasks:

1. Set up the required dependencies utilizing the command:

“`
pip set up -r necessities.txt
“`

2. Run the event server utilizing the command:

“`
claude-dev run dev
“`

As soon as the event server is operating, you may make modifications to your code and see the outcomes instantly. You may also use the command-line interface (CLI) supplied by the Claude Improvement Equipment to carry out numerous duties resembling:

– Managing your mission

– Constructing and deploying your features

– Monitoring your functions

For extra info on utilizing the CLI, check with the official documentation.

Deploying Your Challenge

When you find yourself able to deploy your Claude mission, you need to use the next steps:

1. Log in to your Claude account.

2. Open the mission you wish to deploy.

3. Click on on the “Deploy” tab.

4. Choose the perform you wish to deploy and click on on the “Deploy” button.

Your perform will now be deployed and might be accessed by anybody with the proper URL.

Working Claude Regionally

To run Claude domestically, you’ll need to have Docker put in in your machine. Upon getting Docker put in, you may observe these steps:

  1. Clone the Claude repository from GitHub.
  2. Create a Docker picture from the Claude Dockerfile.
  3. Run the Claude Docker container.

Working the Claude Docker Container

To run the Claude Docker container, you need to use the next command:

“`
docker run -p 8080:8080 claude-dev
“`

This command will run the Claude Docker container on port 8080. You’ll be able to then entry the Claude net interface by visiting http://localhost:8080 in your browser.

The Claude Docker container contains numerous pre-installed packages, together with:

  • Python 3.6
  • Pip
  • Flask
  • SQLAlchemy
  • PostgreSQL

You should utilize these packages to develop and check your individual Claude plugins.

Surroundings Variable Description
CLAUSE_DB_USER Specifies the consumer account to make use of for the database.
CLAUSE_DB_PASSWORD Specifies the consumer password to make use of for the database.
CLAUSE_DB_NAME Specifies the identify of the database to make use of.
CLAUSE_DB_HOST Specifies the host IP deal with or identify of the database.
CLAUSE_DB_PORT Specifies the port to make use of for the database.

You’ll be able to override these atmosphere variables when operating the Claude Docker container. For instance, to override the database consumer, you’d use the next command:

“`
docker run -p 8080:8080 -e CLAUDE_DB_USER=my_user claude-dev
“`

For extra info on utilizing Claude, please check with the Claude documentation.

Debugging Claude Tasks

To debug Claude tasks, you need to use the next steps:

  1. Arrange logging: Add the next line to your .claude.yaml file:
    2. logging:
    stage: debug
  2. Run your mission domestically: Use the claude dev command to run your mission domestically.
  3. View the logs: You’ll be able to view the logs within the console or through the use of a log viewer resembling tail -f logs/claude.log.
  4. Use the debugger: You should utilize the Python debugger (pdb) to debug your code. To do that, add the next line to your code:
    “`
    import pdb; pdb.set_trace()
    “`
    This may pause the execution of your code and let you examine the variables and name stack.

Ideas for debugging Claude tasks

  • Use print statements to output debug info.
  • Use the logger module to log messages.
  • Use the Python debugger (pdb) to debug your code.
  • Arrange a breakpoint in your code utilizing the pdb.set_trace() perform.
  • Use a logging framework resembling Loguru or Logger.

Establishing a logging framework

To arrange a logging framework, you need to use the next steps:

  1. Set up the logging framework of your alternative.
  2. Add the next line to your .claude.yaml file:
    3. logging:
    framework: loggers
    loggers:
      default:
        stage: debug
  3. Import the logging framework in your code.
  4. Use the logging framework to log messages.

| Logging Framework | Set up Command |
|—|—|
| Loguru | pip set up loguru |
| Logger | pip set up logger |
| Python Logging | pip set up python-logging |

Testing Claude Purposes

Claude functions might be examined utilizing quite a lot of instruments and strategies. Nonetheless, the next steps present a common overview of the way to check a Claude software:

1. Set up the Claude CLI

The Claude CLI is required to check Claude functions. You’ll be able to set up it utilizing the next instructions:

“`
npm set up -g @claudejs/cli
“`

2. Create a Claude mission

You’ll be able to create a Claude mission utilizing the next command:

“`
claude create my-project
“`

3. Write your Claude software

You’ll be able to write your Claude software in any textual content editor. Nonetheless, it is suggested to make use of a code editor that helps Claude syntax highlighting, resembling Visible Studio Code.

4. Run your Claude software

You’ll be able to run your Claude software utilizing the next command:

“`
claude run
“`

5. Check your Claude software

You’ll be able to check your Claude software utilizing quite a lot of instruments and strategies. Nonetheless, the next are a few of the most typical strategies:

Technique Description
Unit testing Unit testing entails testing particular person features or strategies in your Claude software. This may be accomplished utilizing a unit testing framework, resembling Jest or Mocha.
Integration testing Integration testing entails testing how totally different components of your Claude software work collectively. This may be accomplished by mocking exterior dependencies and testing how your software behaves in several situations.
Finish-to-end testing Finish-to-end testing entails testing your Claude software from begin to end. This may be accomplished by simulating consumer interactions and verifying that the applying behaves as anticipated.

Managing Claude Dependencies

Understanding the way to handle Claude dependencies is essential for profitable native improvement. Claude depends on particular Python libraries and packages to perform accurately. To make sure a clean improvement workflow, it is necessary to handle these dependencies successfully.

1. Putting in Claude

Set up Claude utilizing the bundle supervisor pip.

pip set up claude

2. Making a Digital Surroundings

Think about making a digital atmosphere to isolate Claude’s dependencies from the system’s put in packages.

python3 -m venv venv

3. Activating the Digital Surroundings

Activate the digital atmosphere earlier than utilizing Claude.

supply venv/bin/activate

4. Putting in Claude within the Digital Surroundings

Set up Claude throughout the digital atmosphere.

pip set up --upgrade claude

5. Managing Dependencies

Claude has the next dependencies:

Dependency Model
google-cloud-bigquery 2.31.1
pandas 1.4.2
scipy 1.8.0
scikit-learn 1.1.1
xgboost 1.6.1

These dependencies might be put in utilizing pip or a bundle supervisor like conda.

6. Updating Dependencies

To replace Claude’s dependencies, first activate the digital atmosphere, then run the next command:

pip set up --upgrade claude-deps

Working with Claude Configurations

Claude helps configuration recordsdata that let you customise its habits. Configuration recordsdata are saved in JSON format and might be discovered within the `~/.claude` listing. Every configuration file accommodates a set of key-value pairs that specify the specified settings.

Right here is an instance of a configuration file that specifies the default language and port for Claude:

Key Worth
language en
port 3000

You’ll be able to create a brand new configuration file by operating the next command:

claude config create my-config

This may create a brand new configuration file named `my-config.json` within the `~/.claude` listing.

You’ll be able to edit a configuration file utilizing any textual content editor. Upon getting made your modifications, save the file and restart Claude for the modifications to take impact.

Claude supplies a number of built-in configuration choices that you need to use to customise its habits. These choices embody:

  • language: The default language for Claude.
  • port: The port that Claude listens on.
  • theme: The theme that Claude makes use of.
  • editor: The editor that Claude makes use of to open recordsdata.
  • fontSize: The font dimension that Claude makes use of.
  • showHiddenFiles: Whether or not or not Claude reveals hidden recordsdata.
  • ignorePatterns: A listing of file patterns that Claude ignores.
  • openAtLogin: Whether or not or not Claude opens at login.

You may also create your individual customized configuration choices by including key-value pairs to your configuration file.

Troubleshooting Claude Native Improvement

In the event you encounter points whereas operating Claude domestically, listed here are some frequent issues and their options:

1. Beginning the native server fails

Ensure you have Node.js and npm put in. Examine your web connection and firewall settings. The port 3000 needs to be accessible.

2. Can’t hook up with the database

Confirm that you’ve got arrange the database accurately. Examine the database connection credentials and make sure that the database is operating.

3. Command-line instruments not working

Guarantee that you’ve got put in the Claude CLI bundle. Examine if the atmosphere variables are set accurately.

4. Errors when operating unit exams

Ensure you have put in the required testing dependencies. Examine the check configurations and make sure that the exams are legitimate.

5. Code modifications not mirrored within the native server

Restart the native server after making code modifications. Examine that the webpack is operating and rebuilding the code.

6. Can’t entry the native server from different gadgets

Configure your router to ahead port 3000 to the gadget internet hosting the native server. Be sure that the firewall permits incoming connections.

7. Efficiency points

Optimize the codebase and cut back pointless computations. Use caching and profiling instruments to determine bottlenecks.

8. Different Errors

Error Message Doable Causes
Module not discovered error Module dependencies not put in or not within the appropriate path.
Webpack compilation error Webpack configuration points or syntax errors within the code.
Database connection timeout Database server is down or below excessive load.

Improvement Setup

Set up Node.js, npm, and the Claude CLI utilizing npm i -g @claudejs/cli. Clone the claudejs/claude monorepo and cd into the listing. Set up the native dependencies with npm set up. Run npm hyperlink to hyperlink the native claude bundle to the worldwide set up.

Working Instructions Regionally

To run Claude instructions domestically, use the npm run prefix adopted by the command identify; for instance, npm run construct or npm run check.

Debugging

To debug Claude domestically, add debugger statements to the supply code and run npm run debug. This may launch a debugger session in your IDE.

Code Model and Linting

Observe the code fashion and linting pointers outlined within the claudejs/claude/.eslint.rc.js and claudejs/claude/.prettierrc.js configuration recordsdata.

Documentation

Doc your code utilizing JSDoc-style feedback. The documentation might be routinely generated and revealed to the Claude web site.

Testing

Write unit exams in your code utilizing Jest. Run npm run check to run the exams.

Steady Integration

Arrange a steady integration pipeline to routinely construct, check, and deploy your modifications to a staging atmosphere.

Greatest Practices for Native Claude Improvement

1. Use a Monorepo

Handle a number of Claude tasks in a single monorepo to simplify dependency administration and code sharing.

2. Set up Your Codebase

Create logical directories and recordsdata to construction your codebase for straightforward navigation and upkeep.

3. Model Management

Use a model management system like Git to handle your code modifications and collaborate with others.

4. Use Debugging Instruments

Familiarize your self with debugging instruments resembling Node.js’s debugger and Chrome DevTools to troubleshoot points.

5. Check Recurrently

Write unit exams and run them recurrently to make sure the correctness of your code.

6. Use the Claude CLI

Make the most of the Claude CLI to scaffold new tasks, generate code, and handle dependencies.

7. Observe Coding Conventions

Adhere to the coding conventions outlined within the claudejs/claude/.eslint.rc.js and claudejs/claude/.prettierrc.js recordsdata.

8. Doc Your Code

Use JSDoc-style feedback to doc your code and enhance its readability.

9. Leverage the Neighborhood

Have interaction with the Claude neighborhood on GitHub and Discord for assist, finest practices, and code snippets. Take part in discussions and contribute to the mission to reinforce its capabilities and broaden your understanding.

Use sys.breakpointhook to set a breakpoint anyplace

To position a breakpoint anyplace within the code, you need to use the sys.breakpointhook perform. This perform is named each time a breakpoint is hit, and it may be used to set a breakpoint at any arbitrary location within the code. For instance, the next code units a breakpoint at line 10 of the check.py module:

“`python
import sys

sys.breakpointhook = lambda: debugger.set_trace()

debugger.set_trace()
“`

Including Customized Breakpoints

You’ll be able to add customized breakpoints to your code utilizing the bdb.Bdb().set_break() technique. This technique takes two arguments: the filename of the code you wish to set a breakpoint in, and the road variety of the breakpoint. For instance, the next code units a breakpoint at line 10 of the check.py module:

“`python
import bdb

debugger = bdb.Bdb()
debugger.set_break(‘check.py’, 10)
“`

Utilizing the Debugger GUI

If you’re utilizing a debugger with a graphical consumer interface (GUI), you may set breakpoints by clicking on the road quantity within the code editor. This may open a dialog field the place you may set the breakpoint situations. For instance, you may specify that the breakpoint ought to solely be hit when a sure variable is the same as a sure worth.

Conditional Breakpoints

You’ll be able to set conditional breakpoints to solely break when sure situations are met. For instance, you would possibly wish to set a breakpoint that solely breaks when a sure variable is the same as a sure worth. To do that, you need to use the bdb.Bdb().set_break() technique with the cond argument. The cond argument is a boolean expression that should consider to True to ensure that the breakpoint to be hit. For instance, the next code units a breakpoint at line 10 of the check.py module that solely breaks when the x variable is the same as 10:

“`python
import bdb

debugger = bdb.Bdb()
debugger.set_break(‘check.py’, 10, cond=’x == 10′)
“`

Ignoring Breakpoints

You’ll be able to ignore breakpoints through the use of the bdb.Bdb().ignore() technique. This technique takes a breakpoint quantity as an argument, and it’ll trigger the debugger to disregard that breakpoint. For instance, the next code ignores the breakpoint that was set at line 10 of the check.py module:

“`python
import bdb

debugger = bdb.Bdb()
debugger.ignore(10)
“`

Disabling Breakpoints

You’ll be able to disable breakpoints through the use of the bdb.Bdb().disable() technique. This technique takes a breakpoint quantity as an argument, and it’ll trigger the debugger to disable that breakpoint. For instance, the next code disables the breakpoint that was set at line 10 of the check.py module:

“`python
import bdb

debugger = bdb.Bdb()
debugger.disable(10)
“`

Deleting Breakpoints

You’ll be able to delete breakpoints through the use of the bdb.Bdb().clear_break() technique. This technique takes a breakpoint quantity as an argument, and it’ll trigger the debugger to delete that breakpoint. For instance, the next code deletes the breakpoint that was set at line 10 of the check.py module:

“`python
import bdb

debugger = bdb.Bdb()
debugger.clear_break(10)
“`

Itemizing Breakpoints

You’ll be able to record the entire breakpoints which were set through the use of the bdb.Bdb().list_break() technique. This technique returns a listing of tuples, the place every tuple accommodates the breakpoint quantity, the filename of the code that the breakpoint is ready in, and the road variety of the breakpoint. For instance, the next code lists the entire breakpoints which were set:

“`python
import bdb

debugger = bdb.Bdb()
for bp in debugger.list_break():
print(bp)
“`

How To Use Claude Dev Regionally

Claude Dev can be utilized domestically by following these steps:

  1. Clone the Claude Dev repository.
  2. cd into the Claude Dev listing.
  3. Run npm set up to put in the required dependencies.
  4. Run npm begin to start out the event server.
  5. Open the Claude Dev net interface at http://localhost:8080.

Folks Additionally Ask

What’s Claude Dev?

Claude Dev is an area improvement atmosphere for Claude, a serverless JavaScript framework.

Why ought to I exploit Claude Dev domestically?

Claude Dev lets you develop and check your Claude code domestically with out having to deploy it to the cloud.

How do I set up Claude Dev domestically?

To put in Claude Dev domestically, observe the steps outlined within the “How To Use Claude Dev Regionally” part above.