5 Easy Steps to Run Claude Dev Locally

5 Easy Steps to Run Claude Dev Locally

by

5 Easy Steps to Run Claude Dev Locally

For a seamless native improvement expertise with Claude, you’ll be able to arrange an area atmosphere utilizing Docker. This method provides a number of benefits, together with the power to shortly spin up an area occasion of Claude, isolate the event atmosphere out of your host machine, and collaborate with others on the identical venture.

To start, guarantee that you’ve Docker put in in your machine. As soon as Docker is ready up, you’ll be able to 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 Growth Atmosphere

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

  • Node.js model 12 or larger
  • Python model 3.7 or larger
  • 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 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 Atmosphere

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 atmosphere utilizing the next command:

python3 -m venv venv

This can 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 Growth Dependencies

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

npm set up

Operating 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 may entry the Claude dashboard at http://localhost:8000.

Making a Claude Venture

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

For Node.js initiatives:

npx create-claude-app my-app

For Python initiatives:

pip set up claude-dev

claude-dev init my-app

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

cd my-app

Now, you can begin constructing and creating your personal customized Claude features or different functions utilizing the obtainable toolkits and assets offered by the Claude Growth Package.

Operating and Testing Your Venture

After getting created your Claude venture and written some code, you’ll be able to run and check it domestically utilizing the next steps:

For Node.js initiatives:

1. Set up the mandatory dependencies utilizing the command:

“`
npm set up
“`

2. Run the event server utilizing the command:

“`
npm begin
“`

For Python initiatives:

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 can also make modifications to your code and see the outcomes instantly. You may also use the command-line interface (CLI) offered by the Claude Growth Package to carry out varied duties corresponding to:

– Managing your venture

– Constructing and deploying your features

– Monitoring your functions

For extra info on utilizing the CLI, seek advice from the official documentation.

Deploying Your Venture

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

1. Log in to your Claude account.

2. Open the venture you need to deploy.

3. Click on on the “Deploy” tab.

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

Your operate will now be deployed and could be accessed by anybody with the proper URL.

Operating Claude Domestically

To run Claude domestically, you will have to have Docker put in in your machine. After getting Docker put in, you’ll be able to 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.

Operating 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 may then entry the Claude internet interface by visiting http://localhost:8080 in your browser.

The Claude Docker container consists of a variety of pre-installed packages, together with:

  • Python 3.6
  • Pip
  • Flask
  • SQLAlchemy
  • PostgreSQL

You need to use these packages to develop and check your personal Claude plugins.

Atmosphere 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 handle or identify of the database.
CLAUSE_DB_PORT Specifies the port to make use of for the database.

You may 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 seek advice from the Claude documentation.

Debugging Claude Initiatives

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

  1. Arrange logging: Add the next line to your .claude.yaml file:
    2. logging:
    stage: debug
  2. Run your venture domestically: Use the claude dev command to run your venture domestically.
  3. View the logs: You may view the logs within the console or by utilizing a log viewer corresponding to tail -f logs/claude.log.
  4. Use the debugger: You need to use the Python debugger (pdb) to debug your code. To do that, add the next line to your code:
    “`
    import pdb; pdb.set_trace()
    “`
    This can pause the execution of your code and permit you to examine the variables and name stack.

Suggestions for debugging Claude initiatives

  • 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 corresponding 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 selection.
  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 Functions

Claude functions could be examined utilizing a wide range of instruments and methods. Nonetheless, the next steps present a normal overview of methods to check a Claude utility:

1. Set up the Claude CLI

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

“`
npm set up -g @claudejs/cli
“`

2. Create a Claude venture

You may create a Claude venture utilizing the next command:

“`
claude create my-project
“`

3. Write your Claude utility

You may 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, corresponding to Visible Studio Code.

4. Run your Claude utility

You may run your Claude utility utilizing the next command:

“`
claude run
“`

5. Check your Claude utility

You may check your Claude utility utilizing a wide range of instruments and methods. Nonetheless, the next are a number of the most typical strategies:

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

Managing Claude Dependencies

Understanding methods 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 easy improvement workflow, it’s a necessity 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 Atmosphere

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

python3 -m venv venv

3. Activating the Digital Atmosphere

Activate the digital atmosphere earlier than utilizing Claude.

supply venv/bin/activate

4. Putting in Claude within the Digital Atmosphere

Set up Claude inside 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 could 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 permit you to customise its conduct. Configuration recordsdata are saved in JSON format and could 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 may create a brand new configuration file by operating the next command:

claude config create my-config

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

You may edit a configuration file utilizing any textual content editor. After 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 conduct. 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 measurement that Claude makes use of.
  • showHiddenFiles: Whether or not or not Claude reveals hidden recordsdata.
  • ignorePatterns: An inventory of file patterns that Claude ignores.
  • openAtLogin: Whether or not or not Claude opens at login.

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

Troubleshooting Claude Native Growth

Should you encounter points whereas operating Claude domestically, listed below are some frequent issues and their options:

1. Beginning the native server fails

Be sure to have Node.js and npm put in. Examine your web connection and firewall settings. The port 3000 needs to be obtainable.

2. Can’t hook up with the database

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

3. Command-line instruments not working

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

4. Errors when operating unit assessments

Be sure to have put in the mandatory testing dependencies. Examine the check configurations and be certain that the assessments 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 units

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

7. Efficiency points

Optimize the codebase and scale back pointless computations. Use caching and profiling instruments to establish 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 underneath 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 bundle to the worldwide set up.

Operating Instructions Domestically

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 can launch a debugger session in your IDE.

Code Fashion and Linting

Observe the code type and linting tips 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 robotically generated and printed to the Claude web site.

Testing

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

Steady Integration

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

Greatest Practices for Native Claude Growth

1. Use a Monorepo

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

2. Manage Your Codebase

Create logical directories and recordsdata to construction your codebase for simple 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 corresponding to Node.js’s debugger and Chrome DevTools to troubleshoot points.

5. Check Repeatedly

Write unit assessments 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 initiatives, 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 help, finest practices, and code snippets. Take part in discussions and contribute to the venture to reinforce its capabilities and broaden your understanding.

Use sys.breakpointhook to set a breakpoint wherever

To put a breakpoint wherever within the code, you should use the sys.breakpointhook operate. This operate 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 may add customized breakpoints to your code utilizing the bdb.Bdb().set_break() methodology. This methodology takes two arguments: the filename of the code you need 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

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

Conditional Breakpoints

You may set conditional breakpoints to solely break when sure situations are met. For instance, you would possibly need 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 may ignore breakpoints by utilizing 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 may disable breakpoints by utilizing 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 may delete breakpoints by utilizing 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 may checklist all the breakpoints which were set by utilizing the bdb.Bdb().list_break() methodology. This methodology returns an inventory 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 all the breakpoints which were set:

“`python
import bdb

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

How To Use Claude Dev Domestically

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 internet 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 permits you to 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 Domestically” part above.