yepcode-run 1.2.0

YepCode Run - A powerful serverless runtime and SDK for executing code in secure sandboxes

What is YepCode Run?

YepCode Run is a powerful serverless runtime that enables secure code execution in isolated sandboxes. With our comprehensive SDK and platform, you can effortlessly build, manage, and monitor your script executions. Get started quickly using our JavaScript SDK or Python SDK.

Powered by YepCode Cloud, our enterprise-grade platform delivers seamless script execution capabilities for AI agents, data processing pipelines, API integrations, and automation workflows. Focus on your code while we handle the infrastructure.

Quick start

1. Installation

pip install yepcode-run

2. Get your YepCode API token

1. Sign up to YepCode Cloud

2. Get your API token from your workspace under: Settings > API credentials

3. Use your API token securely in one of these ways:

   # Option 1: Set as environment variable (Recommended)
   # .env file
   YEPCODE_API_TOKEN=your_token_here
   
   # Option 2: Provide directly to the constructor (Not recommended for production)
   runner = YepCodeRun(YepCodeApiConfig(api_token='your_token_here'))
   

3. Execute your code

from yepcode_run import YepCodeRun, YepCodeApiConfig

runner = YepCodeRun(
    YepCodeApiConfig(api_token='your-api-token')
)

# Execute code with full options
execution = runner.run(
    """def main():
    message = "Hello, YepCode!"
    print(message)
    return {"message": message}""",
    {
        "language": "python",  # Optional - auto-detected if not specified
        "onLog": lambda log: print(f"{log.timestamp} {log.level}: {log.message}"),
        "onFinish": lambda return_value: print("Finished:", return_value),
        "onError": lambda error: print("Error:", error)
    }
)

# Wait for execution to complete
execution.wait_for_done()

# Retrieve an existing execution
existing_execution = runner.get_execution('execution-id')

4. Manage Environment Variables

You may use environment variables in your code with process.env (JavaScript) or os.getenv (Python), and you may manage this environment variables in the YepCode platform (docs here), or using this YepCodeEnv class:

from yepcode_run import YepCodeEnv, YepCodeApiConfig

env = YepCodeEnv(
    YepCodeApiConfig(api_token='your-api-token')
)

# Set environment variables
env.set_env_var('API_KEY', 'secret-value')           # Sensitive by default
env.set_env_var('DEBUG', 'true', False)             # Non-sensitive variable

# Get all environment variables
variables = env.get_env_vars()
# Returns: [TeamVariable(key='API_KEY', value='secret-value'), TeamVariable(key='DEBUG', value='true')]

# Delete an environment variable
env.del_env_var('API_KEY')

5. Direct API access

You can also directly access the full YepCode API using the YepCodeApi class:

from yepcode_run import YepCodeApi, YepCodeApiConfig

api = YepCodeApi(
  YepCodeApiConfig(api_token='your-api-token')
)

# Get all processes
processes = api.get_processes()

SDK API Reference

YepCodeRun

The main class for executing code in YepCode's runtime environment.

Methods

run(code: str, options: Optional[Dict[str, Any]] = None) -> Execution

Executes code in YepCode's runtime environment.

Parameters:

• code: Source code to execute (string)
• options: Execution options (optional)

  {
      "language": Optional[str],        # 'javascript' or 'python'
      "onLog": Optional[Callable],      # Log event handler
      "onFinish": Optional[Callable],   # Success completion handler
      "onError": Optional[Callable],    # Error handler
      "removeOnDone": Optional[bool],   # Auto-cleanup after execution
      "parameters": Optional[Any],      # Execution parameters
      "manifest": Optional[Dict],       # Custom process manifest
      "timeout": Optional[int]          # Execution timeout in ms
  }
  

Returns: Execution

get_execution(execution_id: str) -> Execution

Retrieves an existing execution by ID.

Parameters:

• execution_id: Unique identifier for the execution

Returns: Execution

Execution class

Represents a code execution instance.

Properties:

class Execution:
    id: str                    # Unique identifier
    logs: List[Log]                      # Array of execution logs
    process_id: Optional[str]            # ID of the associated process
    status: Optional[ExecutionStatus]    # Current execution status
    return_value: Any                    # Execution result
    error: Optional[str]                 # Error message
    timeline: Optional[List[TimelineEvent]]  # Execution timeline events
    parameters: Any                      # Execution input parameters
    comment: Optional[str]               # Execution comment

Methods:

is_done() -> bool

Returns whether the execution has completed.

Returns: bool

wait_for_done() -> None

Waits for the execution to complete.

Returns: None

kill() -> None

Terminates the execution.

Returns: None

rerun() -> Execution

Creates a new execution with the same configuration.

Returns: Execution

YepCodeEnv

Manages environment variables for your YepCode workspace.

Methods

get_env_vars() -> List[TeamVariable]

Returns all environment variables.

Returns: List[TeamVariable]

class TeamVariable:
    key: str
    value: str
    is_sensitive: bool

set_env_var(key: str, value: str, is_sensitive: bool = True) -> None

Sets an environment variable.

Parameters:

• key: Variable name
• value: Variable value
• is_sensitive: Whether the variable contains sensitive data (defaults to true)

Returns: None

del_env_var(key: str) -> None

Deletes an environment variable.

Parameters:

• key: Variable name to delete

Returns: None

YepCodeApi

Provides direct access to the YepCode API.

Methods

get_processes() -> List[Process]

Returns all available processes.

Returns: List[Process]

class Process:
    id: str
    name: str
    description: Optional[str]
    created_at: str

License

All rights reserved by YepCode. This package is part of the YepCode Platform and is subject to the YepCode Terms of Service.