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 a neighborhood setting utilizing Docker. This strategy gives a number of benefits, together with the flexibility to rapidly spin up a neighborhood occasion of Claude, isolate the event setting out of your host machine, and collaborate with others on the identical undertaking.

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

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

Setting Up Native Claude Growth Surroundings

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

  • Node.js model 12 or greater
  • Python model 3.7 or greater
  • A Python digital setting
  • The Claude CLI

Putting in Node.js and npm

To put in Node.js and npm, go to the Node.js web site and comply with the directions on 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 comply with the directions on your working system. As soon as Python is put in, create a Python digital setting utilizing the next command:

python3 -m venv venv

This may create a digital setting named venv within the present listing. Activate the digital setting 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 Growth Dependencies

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

npm set up

Working the Claude Growth 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 possibly can entry the Claude dashboard at http://localhost:8000.

Making a Claude Undertaking

To create a brand new Claude undertaking, 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 undertaking listing with all the mandatory boilerplate code and configuration information. Subsequent, navigate into the newly created undertaking listing utilizing the command:

cd my-app

Now, you can begin constructing and creating your individual customized Claude capabilities or different functions utilizing the obtainable toolkits and sources supplied by the Claude Growth Package.

Working and Testing Your Undertaking

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

For Node.js tasks:

1. Set up the mandatory dependencies utilizing the command:

“`
npm set up
“`

2. Run the event server utilizing the command:

“`
npm begin
“`

For Python tasks:

1. Set up the mandatory 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 can even use the command-line interface (CLI) supplied by the Claude Growth Package to carry out varied duties equivalent to:

– Managing your undertaking

– Constructing and deploying your capabilities

– Monitoring your functions

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

Deploying Your Undertaking

When you’re able to deploy your Claude undertaking, you should use the next steps:

1. Log in to your Claude account.

2. Open the undertaking you wish to deploy.

3. Click on on the “Deploy” tab.

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

Your operate will now be deployed and may be accessed by anybody with the right URL.

Working Claude Regionally

To run Claude domestically, you will have to have Docker put in in your machine. Upon getting Docker put in, you may comply with 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 should use the next command:

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

This command will run the Claude Docker container on port 8080. You possibly can then entry the Claude net interface by visiting http://localhost:8080 in your browser.

The Claude Docker container consists of various 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 person account to make use of for the database.
CLAUSE_DB_PASSWORD Specifies the person password to make use of for the database.
CLAUSE_DB_NAME Specifies the title of the database to make use of.
CLAUSE_DB_HOST Specifies the host IP handle or title of the database.
CLAUSE_DB_PORT Specifies the port to make use of for the database.

You possibly can override these setting variables when operating the Claude Docker container. For instance, to override the database person, 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 discuss with the Claude documentation.

Debugging Claude Initiatives

To debug Claude tasks, you should use the next steps:

  1. Arrange logging: Add the next line to your .claude.yaml file:
    2. logging:
    degree: debug
  2. Run your undertaking domestically: Use the claude dev command to run your undertaking domestically.
  3. View the logs: You possibly can view the logs within the console or through the use of a log viewer equivalent to 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 will 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() operate.
  • Use a logging framework equivalent to Loguru or Logger.

Establishing a logging framework

To arrange a logging framework, you should 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:
        degree: 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 may be examined utilizing a wide range of instruments and methods. Nonetheless, the next steps present a normal overview of find out how to check a Claude utility:

1. Set up the Claude CLI

The Claude CLI is required to check Claude functions. You possibly can set up it utilizing the next instructions:

“`
npm set up -g @claudejs/cli
“`

2. Create a Claude undertaking

You possibly can create a Claude undertaking utilizing the next command:

“`
claude create my-project
“`

3. Write your Claude utility

You possibly can write your Claude utility in any textual content editor. Nonetheless, it is suggested to make use of a code editor that helps Claude syntax highlighting, equivalent to Visible Studio Code.

4. Run your Claude utility

You possibly can run your Claude utility utilizing the next command:

“`
claude run
“`

5. Take a look at your Claude utility

You possibly can check your Claude utility utilizing a wide range of instruments and methods. Nonetheless, the next are among the commonest strategies:

Technique Description
Unit testing Unit testing includes testing particular person capabilities or strategies in your Claude utility. This may be accomplished utilizing a unit testing framework, equivalent to Jest or Mocha.
Integration testing Integration testing includes testing how completely different components of your Claude utility work collectively. This may be accomplished by mocking exterior dependencies and testing how your utility behaves in numerous eventualities.
Finish-to-end testing Finish-to-end testing includes testing your Claude utility from begin to end. This may be accomplished by simulating person interactions and verifying that the appliance behaves as anticipated.

Managing Claude Dependencies

Understanding find out how to handle Claude dependencies is essential for profitable native improvement. Claude depends on particular Python libraries and packages to operate appropriately. To make sure a clean improvement workflow, it’s a necessity to handle these dependencies successfully.

1. Putting in Claude

Set up Claude utilizing the package deal supervisor pip.

pip set up claude

2. Making a Digital Surroundings

Take into account making a digital setting to isolate Claude’s dependencies from the system’s put in packages.

python3 -m venv venv

3. Activating the Digital Surroundings

Activate the digital setting earlier than utilizing Claude.

supply venv/bin/activate

4. Putting in Claude within the Digital Surroundings

Set up Claude throughout the digital setting.

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 may be put in utilizing pip or a package deal supervisor like conda.

6. Updating Dependencies

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

pip set up --upgrade claude-deps

Working with Claude Configurations

Claude helps configuration information that will let you customise its habits. Configuration information are saved in JSON format and may be discovered within the `~/.claude` listing. Every configuration file comprises 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 possibly can 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 possibly can 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 should use to customise its habits. These choices embrace:

  • 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 information.
  • fontSize: The font measurement that Claude makes use of.
  • showHiddenFiles: Whether or not or not Claude exhibits hidden information.
  • ignorePatterns: An inventory of file patterns that Claude ignores.
  • openAtLogin: Whether or not or not Claude opens at login.

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

Troubleshooting Claude Native Growth

For those who encounter points whereas operating Claude domestically, listed below are some frequent issues and their options:

1. Beginning the native server fails

Ensure you have Node.js and npm put in. Test your web connection and firewall settings. The port 3000 must be obtainable.

2. Can not connect with the database

Confirm that you’ve arrange the database appropriately. Test the database connection credentials and be sure that the database is operating.

3. Command-line instruments not working

Guarantee that you’ve put in the Claude CLI package deal. Test if the setting variables are set appropriately.

4. Errors when operating unit checks

Ensure you have put in the mandatory testing dependencies. Test the check configurations and be sure that the checks are legitimate.

5. Code modifications not mirrored within the native server

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

6. Can not entry the native server from different gadgets

Configure your router to ahead port 3000 to the machine 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 establish bottlenecks.

8. Different Errors

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

Growth 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 package deal to the worldwide set up.

Working Instructions Regionally

To run Claude instructions domestically, use the npm run prefix adopted by the command title; 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

Comply with the code type and linting pointers outlined within the claudejs/claude/.eslint.rc.js and claudejs/claude/.prettierrc.js configuration information.

Documentation

Doc your code utilizing JSDoc-style feedback. The documentation will probably be robotically generated and printed to the Claude web site.

Testing

Write unit checks on your code utilizing Jest. Run npm run check to run the checks.

Steady Integration

Arrange a steady integration pipeline to robotically construct, check, and deploy your modifications to a staging setting.

Finest Practices for Native Claude Growth

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 information 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 equivalent to Node.js’s debugger and Chrome DevTools to troubleshoot points.

5. Take a look at Usually

Write unit checks and run them commonly 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. Comply with Coding Conventions

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

8. Doc Your Code

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

9. Leverage the Neighborhood

Interact with the Claude neighborhood on GitHub and Discord for help, finest practices, and code snippets. Take part in discussions and contribute to the undertaking to reinforce its capabilities and broaden your understanding.

Use sys.breakpointhook to set a breakpoint wherever

To position a breakpoint wherever within the code, you should use the sys.breakpointhook operate. This operate known as every 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 possibly can add customized breakpoints to your code utilizing the bdb.Bdb().set_break() methodology. This methodology 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 person 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 possibly can 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 should use the bdb.Bdb().set_break() methodology 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 possibly can ignore breakpoints through the use of the bdb.Bdb().ignore() methodology. This methodology 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 possibly can disable breakpoints through the use of the bdb.Bdb().disable() methodology. This methodology 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 possibly can delete breakpoints through the use of the bdb.Bdb().clear_break() methodology. This methodology 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 possibly can listing the entire breakpoints which have been set through the use of the bdb.Bdb().list_break() methodology. This methodology returns an inventory of tuples, the place every tuple comprises the breakpoint quantity, the filename of the code that the breakpoint is about in, and the road variety of the breakpoint. For instance, the next code lists the entire breakpoints which have been 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 mandatory 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 a neighborhood improvement setting for Claude, a serverless JavaScript framework.

Why ought to I take advantage of Claude Dev domestically?

Claude Dev means that you can 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, comply with the steps outlined within the “How To Use Claude Dev Regionally” part above.