RocketRide

https://docs.rocketride.org
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RocketRide is an open-source data pipeline builder and runtime built for AI and ML workloads with...
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### Usage Examples

Source: https://docs.rocketride.org/api/use-method

Provides practical examples of how to use the `use` method in various scenarios, including starting pipelines from files, with custom parameters, and from configuration objects.

```APIDOC
## Usage Examples

### Start a Pipeline from a File

```python
from rocketride import RocketRideClient  
  
async with RocketRideClient(uri='https://cloud.rocketride.ai', auth='your-api-key') as client:  
    result = await client.use(filepath='text_analyzer.json')  
    token = result['token']  
    print(f'Pipeline started with token: {token}')  
```

```typescript
import { RocketRideClient } from 'rocketride';  
  
const client = new RocketRideClient({
    auth: 'your-api-key',
    uri: 'https://cloud.rocketride.ai',
});
await client.connect();  
  
const result = await client.use({ filepath: './text_analyzer.json' });
console.log(`Pipeline started with token: ${result.token}`);

await client.disconnect();
```

### Start with Custom Parameters

```python
result = await client.use(  
    filepath='data_processor.json',  
    threads=8,  
    args=['--verbose'],  
    source='custom_input',  
    ttl=300,  
)
token = result['token']
```

```typescript
const result = await client.use({
    filepath: './data_processor.json',
    threads: 8,
    args: ['--verbose'],
    source: 'custom_input',
    ttl: 300,
});
```

### Start from a Pipeline Configuration Object

```python
config = {  
    'name': 'My Pipeline',
    'project_id': 'my-project',
    'source': 'webhook_1',
    'components': [
        {'id': 'webhook_1', 'provider': 'webhook', 'config': {}},
        {'id': 'ai_chat_1', 'provider': 'ai_chat', 'config': {'model': 'gpt-4'},
         'input': [{'from': 'webhook_1', 'lane': 'output'}]},
        {'id': 'response_1', 'provider': 'response', 'config': {},
         'input': [{'from': 'ai_chat_1', 'lane': 'answer'}]},
    ],
}
result = await client.use(pipeline=config)
```

### Full Workflow: Start, Send Data, Check Status

```python
from rocketride import RocketRideClient  
  
async with RocketRideClient(auth='your-api-key') as client:  
    # Start pipeline  
    result = await client.use(filepath='pipeline.json')  
    token = result['token']  
  
    # Send data for processing  
    response = await client.send(token, 'Analyze this text for sentiment')  
  
    # Check status  
    status = await client.get_task_status(token)  
    print(f'State: {status["state"]}')  
  
    # Terminate when done  
    await client.terminate(token)  
```
```

--------------------------------

### Start Pipeline from File (Python)

Source: https://docs.rocketride.org/api/use-method

Example of starting a RocketRide pipeline using a JSON configuration file in Python. It demonstrates obtaining the pipeline token for future operations.

```python
from rocketride import RocketRideClient  
  
async with RocketRideClient(uri='https://cloud.rocketride.ai', auth='your-api-key') as client:  
    result = await client.use(filepath='text_analyzer.json')  
    token = result['token']  
    print(f'Pipeline started with token: {token}')  

```

--------------------------------

### Python: Basic Status Check Example

Source: https://docs.rocketride.org/api/get-task-status-method

Demonstrates initializing the client, starting a pipeline with `use()`, and then fetching its status using `get_task_status()`.

```python
from rocketride import RocketRideClient

async with RocketRideClient(auth='your-api-key') as client:
    result = await client.use(filepath='pipeline.json')
    token = result['token']

    status = await client.get_task_status(token)
    print(f'State: {status["state"]}')
    print(f'Progress: {status["completedCount"]}/{status["totalCount"]}')
```

--------------------------------

### Full Workflow: Start, Send Data, Check Status (Python)

Source: https://docs.rocketride.org/api/use-method

A comprehensive Python example demonstrating the full lifecycle of a RocketRide pipeline: starting it, sending data for processing, checking its status, and finally terminating it.

```python
from rocketride import RocketRideClient  
  
async with RocketRideClient(auth='your-api-key') as client:  
    # Start pipeline  
    result = await client.use(filepath='pipeline.json')  
    token = result['token']  
  
    # Send data for processing  
    response = await client.send(token, 'Analyze this text for sentiment')  
  
    # Check status  
    status = await client.get_task_status(token)  
    print(f'State: {status["state"]}')  
  
    # Terminate when done  
    await client.terminate(token)  

```

--------------------------------

### TypeScript: Basic Status Check Example

Source: https://docs.rocketride.org/api/get-task-status-method

Demonstrates initializing the client, starting a pipeline with `use()`, and then fetching its status using `getTaskStatus()`.

```typescript
import { RocketRideClient } from 'rocketride';

const client = new RocketRideClient({ auth: 'your-api-key' });
await client.connect();

const result = await client.use({ filepath: './pipeline.json' });
const status = await client.getTaskStatus(result.token);
console.log(`State: ${status.state}`);
console.log(`Progress: ${status.completedCount}/${status.totalCount}`);

await client.disconnect();
```

--------------------------------

### Validate Before Starting Pipeline in Python

Source: https://docs.rocketride.org/api/validate-method

This Python example shows how to validate a pipeline configuration before starting it. If validation passes, a task is initiated.

```python
# Validate first, then start if valid
result = await client.validate(pipeline)

# Check the result for errors before proceeding
# (exact structure depends on pipeline configuration)
task = await client.use(pipeline=pipeline)
```

--------------------------------

### Basic Termination Example in Python

Source: https://docs.rocketride.org/api/terminate-method

Demonstrates how to start a pipeline, send data, and then terminate it using the terminate() method in Python. Ensure the client is properly initialized and connected.

```python
from rocketride import RocketRideClient

async with RocketRideClient(auth='your-api-key') as client:
    result = await client.use(filepath='pipeline.json')
    token = result['token']

    # Send some data
    await client.send(token, 'Process this text')

    # Terminate the pipeline
    await client.terminate(token)
    print('Pipeline terminated successfully')
```

--------------------------------

### Start Pipeline from File (TypeScript)

Source: https://docs.rocketride.org/api/use-method

Example of initiating a RocketRide pipeline from a JSON configuration file using TypeScript. It shows how to log the obtained pipeline token.

```typescript
import { RocketRideClient } from 'rocketride';  
  
const client = new RocketRideClient({  
    auth: 'your-api-key',  
    uri: 'https://cloud.rocketride.ai',  
});  
await client.connect();  
  
const result = await client.use({ filepath: './text_analyzer.json' });  
console.log(`Pipeline started with token: ${result.token}`);  
  
await client.disconnect();  

```

--------------------------------

### Start Pipeline with Custom Parameters (Python)

Source: https://docs.rocketride.org/api/use-method

Demonstrates starting a pipeline with custom parameters such as threads, arguments, source override, and time-to-live in Python.

```python
result = await client.use(  
    filepath='data_processor.json',  
    threads=8,  
    args=['--verbose'],  
    source='custom_input',  
    ttl=300,  
)  
token = result['token']  

```

--------------------------------

### Start Pipeline from Configuration Object (Python)

Source: https://docs.rocketride.org/api/use-method

Example of initiating a RocketRide pipeline directly from a Python dictionary representing the pipeline configuration object.

```python
config = {  
    'name': 'My Pipeline',  
    'project_id': 'my-project',  
    'source': 'webhook_1',  
    'components': [  
        {'id': 'webhook_1', 'provider': 'webhook', 'config': {}},  
        {'id': 'ai_chat_1', 'provider': 'ai_chat', 'config': {'model': 'gpt-4'},  
         'input': [{'from': 'webhook_1', 'lane': 'output'}]},  
        {'id': 'response_1', 'provider': 'response', 'config': {},  
         'input': [{'from': 'ai_chat_1', 'lane': 'answer'}]},  
    ],  
}  
result = await client.use(pipeline=config)  

```

--------------------------------

### Run MCP Server from Command Line

Source: https://docs.rocketride.org/mcp_server/rocketride-mcp-server

Start the MCP server using its installed entry point or by running it as a Python module. Ensure RocketRide engine is running.

```bash
# Using the installed entry point  
rocketride-mcp  
```

```bash
# Or using Python module  
python -m rocketride_mcp  
```

--------------------------------

### Start Pipeline with Custom Parameters (TypeScript)

Source: https://docs.rocketride.org/api/use-method

Shows how to start a pipeline with custom configurations like threads, arguments, source, and TTL in TypeScript.

```typescript
const result = await client.use({  
    filepath: './data_processor.json',  
    threads: 8,  
    args: ['--verbose'],  
    source: 'custom_input',  
    ttl: 300,  
});  

```

--------------------------------

### Basic Termination Example in TypeScript

Source: https://docs.rocketride.org/api/terminate-method

Demonstrates how to start a pipeline, send data, and then terminate it using the terminate() method in TypeScript. Ensure the client is properly initialized and connected.

```typescript
import { RocketRideClient } from 'rocketride';

const client = new RocketRideClient({ auth: 'your-api-key' });
await client.connect();

const result = await client.use({ filepath: './pipeline.json' });

// Send some data
await client.send(result.token, 'Process this text');

// Terminate the pipeline
await client.terminate(result.token);
console.log('Pipeline terminated successfully');

await client.disconnect();
```

--------------------------------

### Minimal API Usage Example

Source: https://docs.rocketride.org/sdk/python-sdk

A basic example demonstrating how to connect to the RocketRide service, run a pipeline from a file, send data, and disconnect.

```APIDOC
## Minimal API Usage Example

### 1. Minimal: connect, run pipeline from file, send one string, disconnect

```python
import asyncio
from rocketride import RocketRideClient

async def main():
    client = RocketRideClient(uri="https://cloud.rocketride.ai", auth="my-key")
    await client.connect()
    result = await client.use(filepath="pipeline.json")
    token = result["token"]
    out = await client.send(token, "Hello, pipeline!", objinfo={"name": "input.txt"}, mimetype="text/plain")
    print(out)
    await client.terminate(token)
    await client.disconnect()

asyncio.run(main())
```
```

--------------------------------

### Install RocketRide SDK

Source: https://docs.rocketride.org/sdk/node-sdk

Install the RocketRide SDK using NPM, Yarn, or PNPM.

```bash
# NPM  
npm install rocketride  
# Yarn  
yarn add rocketride  
# PNPM  
pnpm add rocketride  
```

--------------------------------

### Install RocketRide Python SDK

Source: https://docs.rocketride.org/sdk/python-sdk

Install the RocketRide Python SDK using pip. This is the first step to using the SDK in your project.

```bash
pip install rocketride  

```

--------------------------------

### Install rocketride-mcp

Source: https://docs.rocketride.org/mcp_server/rocketride-mcp-server

Install the MCP server package using pip. Requires Python 3.10+ and rocketride-client-python >= 1.1.0.

```bash
pip install rocketride-mcp  
```

```bash
pip install rocketride-mcp  
```

--------------------------------

### Start Pipeline from File and Poll Status

Source: https://docs.rocketride.org/sdk/node-sdk

Starts a pipeline using a configuration file and polls its status until completion. Ensure the pipeline configuration file exists and is correctly formatted. The `ttl` option sets the pipeline's time-to-live in seconds.

```javascript
const { token } = await client.use({ filepath: './pipeline.json', ttl: 3600 });
await client.setEvents(token, ['apaevt_status_processing']);
// ... send data ...
while (true) {
	const status = await client.getTaskStatus(token);
	if (status.completed) break;
	await new Promise((r) => setTimeout(r, 2000));
}
await client.terminate(token);
```

--------------------------------

### Basic Pipeline Validation in Python

Source: https://docs.rocketride.org/api/validate-method

Use this example to perform a basic validation of a pipeline configuration in Python. Ensure the RocketRideClient is properly initialized with authentication.

```python
from rocketride import RocketRideClient

async with RocketRideClient(auth='your-api-key') as client:
    pipeline = {
        'project_id': 'my-project',
        'source': 'webhook_1',
        'components': [
            {'id': 'webhook_1', 'provider': 'webhook', 'config': {}},
            {'id': 'processor_1', 'provider': 'ai_chat', 'config': {'model': 'gpt-4'},
             'input': [{'from': 'webhook_1', 'lane': 'output'}]},
            {'id': 'response_1', 'provider': 'response', 'config': {},
             'input': [{'from': 'processor_1', 'lane': 'answer'}]},
        ],
    }

    result = await client.validate(pipeline)
    print('Validation result:', result)
```

--------------------------------

### Use Method Signature

Source: https://docs.rocketride.org/api/use-method

Demonstrates the method signature for starting a RocketRide pipeline in both Python and TypeScript.

```APIDOC
## Use Method Signature

### Python (async)
```python
result = await client.use(  
    filepath="pipeline.json",   # or pipeline={...}  
    token=None,  
    source=None,  
    threads=None,  
    use_existing=None,  
    args=None,  
    ttl=None,  
    pipelineTraceLevel=None,  
)
```

### TypeScript
```typescript
const result = await client.use({
    filepath: './pipeline.json',
    token: undefined,
    source: undefined,
    threads: undefined,
    useExisting: undefined,
    args: undefined,
    ttl: undefined,
    pipelineTraceLevel: undefined,
});
```
```

--------------------------------

### RocketRide CLI Commands

Source: https://docs.rocketride.org/sdk/python-sdk

Examples of common commands for managing RocketRide pipelines and tasks via the CLI. Commands may require a token for authentication and can use environment variables for configuration.

```bash
rocketride start pipeline.json
```

```bash
rocketride upload *.pdf --token <token>
```

```bash
rocketride status --token <token>
```

```bash
rocketride stop --token <token>
```

```bash
rocketride list
```

```bash
rocketride events ALL --token <token>
```

```bash
rocketride rrext_store get_all_projects
```

--------------------------------

### Upload multiple files and poll for completion

Source: https://docs.rocketride.org/sdk/python-sdk

Upload multiple files and monitor the pipeline's progress by polling the task status. This example demonstrates setting specific events to listen for and handling upload results.

```python
import asyncio
from pathlib import Path
from rocketride import RocketRideClient

async def main():
    client = RocketRideClient(uri="https://cloud.rocketride.ai", auth="my-key")
    await client.connect()
    result = await client.use(filepath="vectorize.json")
    token = result["token"]
    await client.set_events(token, ["apaevt_status_upload", "apaevt_status_processing"])

    files = ["doc1.md", "doc2.md", ("doc3.json", {"tag": "export"}, "application/json")]
    upload_results = await client.send_files(files, token)
    for r in upload_results:
        if r["action"] == "complete":
            print("OK", r["filepath"])
        else:
            print("Failed", r["filepath"], r.get("error"))

    while True:
        status = await client.get_task_status(token)
        print(f"Progress: {status.get('completedCount', 0)}/{status.get('totalCount', 0)}")
        if status.get("completed"):
            break
        await asyncio.sleep(2)
    await client.terminate(token)
    await client.disconnect()

asyncio.run(main())
```

--------------------------------

### List and Get RocketRide Prompts Programmatically

Source: https://docs.rocketride.org/mcp_server/rocketride-mcp-server

Use session.list_prompts() to see available prompts and session.get_prompt() to render a specific prompt with arguments. The rendered message content is available in result.messages[0].content.text.

```python
# List available prompts
prompts = await session.list_prompts()

# Get a rendered prompt
result = await session.get_prompt("analyze-document", arguments={
    "pipeline": "my-pipeline",
    "query": "Summarize the key findings"
})
# result.messages[0].content.text contains the rendered message
```

--------------------------------

### Read MCP Resources Programmatically

Source: https://docs.rocketride.org/mcp_server/rocketride-mcp-server

Access live information from the RocketRide engine using 'rocketride://' URIs. Examples show reading pipeline lists, server status, and node registry.

```python
# Example: read the pipeline list resource  
result = await session.read_resource("rocketride://pipelines")  
# Returns: {"pipelines": [{"name": "my-pipeline", "description": "..."}, ...]}  

```

```python
# Example: check server status  
result = await session.read_resource("rocketride://status")  
# Returns: {"connected": true, "pipeline_count": 3, "pipelines": ["pipe-a", "pipe-b", "pipe-c"]}  

```

```python
# Example: list available node types  
result = await session.read_resource("rocketride://nodes")  

```

--------------------------------

### Anonymize Text Example

Source: https://docs.rocketride.org/text/text-anonymization

Demonstrates how sensitive entities in text are replaced with masking characters. No specific setup or imports are shown, as this is a conceptual example.

```text
Input:  John Smith is a patient at St. Mary's Hospital.  
Output: ████ █████ is a patient at ██ █████████████████.  
```

--------------------------------

### Chat with JSON parsing

Source: https://docs.rocketride.org/sdk/python-sdk

Engage in a chat interaction, providing instructions and examples to guide the AI's response. This example shows how to expect and parse a JSON answer.

```python
import asyncio
from rocketride import RocketRideClient
from rocketride.schema import Question, Answer

async def main():
    async with RocketRideClient(uri="https://cloud.rocketride.ai", auth="my-key") as client:
        result = await client.use(filepath="chat_pipeline.json")
        token = result["token"]
        question = Question(expectJson=True)
        question.addInstruction("Format", "Return a JSON object with keys: summary, keywords.")
        question.addExample("Summarize X", {"summary": "...", "keywords": ["a", "b"]})
        question.addQuestion("Summarize the main points and list keywords.")
        response = await client.chat(token=token, question=question)
        answer_text = response.get("data", {}).get("answer") or (response.get("answers") or [None])[0]
        structured = Answer().parseJson(answer_text) if answer_text else None
        print(structured)
        await client.terminate(token)

asyncio.run(main())
```

--------------------------------

### Static Client with Connection

Source: https://docs.rocketride.org/sdk/node-sdk

Creates a client instance, establishes a connection, executes a callback function with the client, and ensures disconnection.

```APIDOC
## withConnection RocketRideClient.withConnection

### Description
Creates a client, calls `connect()`, runs `callback(client)`, then `disconnect()` in a `finally` block. Returns the callback result. Use for one-off scripts so you never forget to disconnect.

### Method
`RocketRideClient.withConnection<T>(config: RocketRideClientConfig, callback: (client: RocketRideClient) => Promise<T>): Promise<T>`

### Parameters
#### Request Body
- **config** (RocketRideClientConfig) - Required - The configuration for the RocketRide client.
- **callback** ((client: RocketRideClient) => Promise<T>) - Required - A function that accepts the connected client and returns a Promise.
```

--------------------------------

### Instantiate and Connect RocketRide Client

Source: https://docs.rocketride.org/sdk/node-sdk

Demonstrates the basic instantiation of the RocketRide client with authentication and URI, followed by establishing a connection. Auth and URI can be set later if not provided during construction.

```javascript
const client = new RocketRideClient({ auth: 'my-key', uri: 'https://cloud.rocketride.ai' });
await client.connect();

```

--------------------------------

### Install RocketRide MCP SSE

Source: https://docs.rocketride.org/mcp_server/rocketride-mcp-server

Install the RocketRide MCP server with SSE support using pip. This command installs the necessary package for running the server in HTTP/SSE mode.

```bash
pip install rocketride-mcp[sse]
```

--------------------------------

### RocketRideClient Constructor

Source: https://docs.rocketride.org/sdk/node-sdk

Creates a client instance; it does not connect until you call `connect()`. You can set up callbacks and then open the connection when ready.

```APIDOC
## RocketRideClient

### Constructor

```typescript
constructor(config: RocketRideClientConfig = {})
```

Creates a client instance; it does **not** connect until you call `connect()`. You can set up callbacks and then open the connection when ready. `auth` and `uri` are optional at construction and can be set later with `setConnectionParams()` before `connect()`.

**Example:**
```javascript
const client = new RocketRideClient({ auth: 'my-key', uri: 'https://cloud.rocketride.ai' });
await client.connect();
```
```

--------------------------------

### Using the Use Method with Error Handling

Source: https://docs.rocketride.org/api/use-method

Shows how to call the `client.use` method with a pipeline file path and includes exception handling for common errors like `FileNotFoundError` and `RuntimeError`.

```python
from rocketride import RocketRideClient, RocketRideException

try:
    result = await client.use(filepath='pipeline.json')
except FileNotFoundError:
    print('Pipeline file not found')
except RuntimeError as e:
    print(f'Pipeline failed to start: {e}')
```

--------------------------------

### Create Streaming Data Pipe (Python)

Source: https://docs.rocketride.org/api/send-method

Demonstrates creating a streaming data pipe for large datasets using the client.pipe method. The recommended approach uses an async context manager for automatic resource management.

```python
async with await client.pipe(token, mime_type='text/csv') as pipe:
    for chunk in csv_chunks:
        await pipe.write(chunk.encode())
    result = await pipe.close()
```

```python
pipe = await client.pipe(token, mime_type='application/json')
await pipe.open()
await pipe.write(json.dumps(data_part1).encode())
await pipe.write(json.dumps(data_part2).encode())
result = await pipe.close()
```

--------------------------------

### Send Files with RocketRide Client (Python)

Source: https://docs.rocketride.org/api/send-method

Demonstrates sending a list of files with and without metadata and MIME types using the send_files method. Ensure the client is initialized with authentication.

```python
from rocketride import RocketRideClient

async with RocketRideClient(auth='your-api-key') as client:
    result = await client.use(filepath='document_processor.json')
    token = result['token']

    # Simple file list
    files = ['document1.pdf', 'data.csv', 'report.docx']
    results = await client.send_files(files, token)

    for r in results:
        if r['action'] == 'complete':
            print(f"Uploaded {r['filepath']} in {r['upload_time']:.2f}s")
        else:
            print(f"Failed {r['filepath']}: {r['error']}")

    # With metadata and MIME types
    files = [
        ('report.pdf', {'department': 'finance'}),
        ('data.csv', {'type': 'quarterly'}, 'text/csv'),
    ]
    results = await client.send_files(files, token)
```

--------------------------------

### Error Handling Example in Python

Source: https://docs.rocketride.org/api/terminate-method

Provides a Python code example for handling termination failures, specifically catching RuntimeError. This is useful for robustly managing pipeline operations.

```python
try:
    await client.terminate(token)
except RuntimeError as e:
    print(f'Termination failed: {e}')
```

--------------------------------

### Terminate After Monitoring Example in Python

Source: https://docs.rocketride.org/api/terminate-method

Illustrates terminating a pipeline after monitoring its status for a period. This example uses asyncio.sleep to pause execution before checking the status and potentially terminating.

```python
import asyncio

result = await client.use(filepath='long_processor.json')
token = result['token']

# Monitor for a while, then terminate
await asyncio.sleep(30)

status = await client.get_task_status(token)
if not status['completed']:
    await client.terminate(token)
    print('Pipeline was still running — terminated')
else:
    print('Pipeline already completed')
```

--------------------------------

### Discover Services with Rocketride SDK

Source: https://docs.rocketride.org/sdk/python-sdk

Call `get_services` to retrieve a dictionary of all available service definitions on the server, allowing you to discover supported functionalities. Use `get_service` to fetch a specific service by name.

```python
services = await client.get_services()
```

```python
service = await client.get_service(service_name)
```

--------------------------------

### Chat with JSON Answer Parsing (Node.js)

Source: https://docs.rocketride.org/sdk/node-sdk

Use this snippet to send a chat question with instructions and examples, expecting a JSON answer. It demonstrates setting up the client, using a chat pipeline, adding instructions and examples to a question, sending the question, parsing the JSON answer, and cleaning up resources.

```typescript
import { RocketRideClient, Question, Answer } from 'rocketride';  
  
const client = new RocketRideClient({ auth, uri });  
await client.connect();  
const { token } = await client.use({ pipeline: { pipeline: chatPipelineConfig } });  
  
const question = new Question({ expectJson: true });  
question.addInstruction('Format', 'Return a JSON object with keys: summary, keywords.');  
question.addExample('Summarize X', { summary: '...', keywords: ['a', 'b'] });  
question.addQuestion('Summarize the main points and list keywords.');  
  
const response = await client.chat({ token, question });  
const answerText = response?.data?.answer ?? response?.answers?.[0];  
const structured = answerText ? Answer.parseJson(answerText) : null;  
console.log(structured);  
  
await client.terminate(token);  
await client.disconnect();  
```

--------------------------------

### Pipeline Execution

Source: https://docs.rocketride.org/sdk/node-sdk

Manage the lifecycle of a pipeline, from starting and validating to terminating and checking status.

```APIDOC
## use

### Description
Starts a pipeline. You must pass either `pipeline` (object) or `filepath` (path to a JSON file; Node only). The client substitutes `${ROCKETRIDE_*}` in the config from its `env` (or `.env`). Returns at least `token`; use that token for `send()`, `sendFiles()`, `pipe()`, `chat()`, `getTaskStatus()`, and `terminate()`.

### Method
`use(options?: { token?: string; filepath?: string; pipeline?: PipelineConfig; source?: string; threads?: number; useExisting?: boolean; args?: string[]; ttl?: number }): Promise<Record<string, any> & { token: string }> `

### Returns
`Promise<{ token: string, ... }> `

### Example - start from file and poll until done:
```javascript
const { token } = await client.use({ filepath: './pipeline.json', ttl: 3600 }); 
await client.setEvents(token, ['apaevt_status_processing']);  
// ... send data ...  
while (true) {
	const status = await client.getTaskStatus(token);
	if (status.completed) break;
	await new Promise((r) => setTimeout(r, 2000));
}
await client.terminate(token);
```
```

```APIDOC
## validate

### Description
Validates a pipeline configuration without starting it. Returns validation results (e.g. errors, warnings). Use to check pipeline correctness before `use()`.

### Method
`validate(options: { pipeline: PipelineConfig | Record<string, unknown>; source?: string }): Promise<Record<string, unknown>>`

### Returns
`Promise<Record<string, unknown>>`
```

```APIDOC
## terminate

### Description
Stops the pipeline for that token and frees server resources. Call when the user cancels or when you are done sending data.

### Method
`terminate(token: string): Promise<void>`

### Returns
`-`
```

```APIDOC
## getTaskStatus

### Description
Returns current task status: e.g. `completedCount`, `totalCount`, `completed`, `state`, `exitCode`. Use to poll until `completed` is true or to show progress.

### Method
`getTaskStatus(token: string): Promise<TASK_STATUS>`

### Returns
`Promise<TASK_STATUS>`
```

--------------------------------

### Discover Services and Send Custom DAP Request (Node.js)

Source: https://docs.rocketride.org/sdk/node-sdk

This snippet shows how to discover available services, retrieve a specific service schema (e.g., 'ocr'), build a custom DAP request, send it with a timeout, and check for failures. Ensure you have authentication details and a valid token.

```typescript
import { RocketRideClient } from 'rocketride';  
  
const client = new RocketRideClient({ auth, uri });  
await client.connect();  
  
const services = await client.getServices();  
console.log('Available:', Object.keys(services));  
const ocrSchema = await client.getService('ocr');  
  
const req = client.buildRequest('rrext_ping', { token: myToken });  
const res = await client.request(req, 5000);  
if (client.didFail(res)) throw new Error(res.message);  
await client.disconnect();  
```

--------------------------------

### Pipeline Configuration with Environment Variables

Source: https://docs.rocketride.org/api/use-method

Demonstrates how to use environment variables (e.g., `${ROCKETRIDE_PROJECT_ID}`, `${ROCKETRIDE_APIKEY}`) within pipeline configurations for dynamic value injection.

```json
{
  "project_id": "${ROCKETRIDE_PROJECT_ID}",
  "components": [
    {
      "id": "processor",
      "provider": "transform",
      "config": {
        "apiKey": "${ROCKETRIDE_APIKEY}"
      }
    }
  ]
}
```

--------------------------------

### Task Status Response Format

Source: https://docs.rocketride.org/api/get-task-status-method

Example of the full TASK_STATUS object returned by the method.

```json
{
  "name": "text_analyzer",
  "project_id": "my-project",
  "state": 3,
  "completed": false,
  "startTime": 1700000000.0,
  "endTime": 0.0,
  "totalCount": 100,
  "completedCount": 45,
  "failedCount": 2,
  "rateCount": 5,
  "errors": [],
  "warnings": [],
  "metrics": {
    "cpu_percent": 25.3,
    "cpu_memory_mb": 512.0,
    "gpu_memory_mb": 1024.0
  },
  "tokens": {
    "cpu_utilization": 1.5,
    "cpu_memory": 0.8,
    "gpu_memory": 2.1,
    "total": 4.4
  },
  "pipeflow": {
    "totalPipes": 2,
    "byPipe": {
      "0": ["source", "transform", "filter"],
      "1": ["source", "transform"]
    }
  }
}

```

--------------------------------

### Use Method Parameters

Source: https://docs.rocketride.org/api/use-method

Details the parameters available for the `use` method, including their types, requirements, and descriptions.

```APIDOC
## Parameters

| Parameter | Type | Required | Description |
|---|---|---|---|
| `pipeline` | `dict` / `PipelineConfig` | One of `pipeline` or `filepath` required | Pipeline configuration object |
| `filepath` | `str` / `string` | One of `pipeline` or `filepath` required | Path to a JSON or JSON5 pipeline configuration file |
| `token` | `str` / `string` | No | Custom task token (server generates one if not provided) |
| `source` | `str` / `string` | No | Override the source component specified in the pipeline config |
| `threads` | `int` / `number` | No | Number of processing threads (server decides default) |
| `use_existing` / `useExisting` | `bool` / `boolean` | No | Reuse an existing pipeline with the same token |
| `args` | `list[str]` / `string[]` | No | Command-line style arguments to pass to the pipeline |
| `ttl` | `int` / `number` | No | Time-to-live in seconds for idle pipelines (0 = no timeout) |
| `pipelineTraceLevel` | `str` / `string` | No | Trace level: `'none'`, `'metadata'`, `'summary'`, or `'full'`
```

--------------------------------

### Python Error Handling for Get Task Status

Source: https://docs.rocketride.org/api/get-task-status-method

Handles potential runtime errors when retrieving task status.

```python
try:
    status = await client.get_task_status(token)
except RuntimeError as e:
    print(f'Failed to get status: {e}')

```

--------------------------------

### Task State Transitions

Source: https://docs.rocketride.org/api/get-task-status-method

Illustrates the possible state transitions for a task.

```text
NONE → STARTING → INITIALIZING → RUNNING → STOPPING → COMPLETED  
                                          → STOPPING → CANCELLED  

```

--------------------------------

### Get Task Status Method

Source: https://docs.rocketride.org/api/get-task-status-method

Retrieves the current status and detailed metrics of a running pipeline task using its token.

```APIDOC
## Get Task Status

### Description
Retrieves the current status and detailed metrics of a running pipeline task. Use this method to monitor progress, check for errors, and determine when processing is complete.

### Method Signature

**Python (async)**
```python
status = await client.get_task_status(token)
```

**TypeScript**
```typescript
const status = await client.getTaskStatus(token);
```

### Parameters

| Parameter | Type | Required | Description |
|---|---|---|---|
| `token` | `str` / `string` | Yes | Task token returned by `use()` |

### Returns

- **Type**: `TASK_STATUS` — a dictionary/object with comprehensive status fields.

### Key Fields

| Field | Type | Description |
|---|---|---|
| `state` | `int` | Current task state (see Task States) |
| `completed` | `bool` | Whether the task has finished execution |
| `name` | `str` | Pipeline name |
| `project_id` | `str` | Project identifier |
| `source` | `str` | Source component ID |
| `startTime` | `float` | Task start timestamp (Unix time) |
| `endTime` | `float` | Task completion timestamp (Unix time) |
| `totalCount` | `int` | Total items to process |
| `completedCount` | `int` | Items processed successfully |
| `failedCount` | `int` | Items that failed processing |
| `totalSize` | `int` | Total size in bytes |
| `completedSize` | `int` | Bytes processed successfully |
| `rateCount` | `int` | Current processing rate (items/sec) |
| `rateSize` | `int` | Current processing rate (bytes/sec) |
| `errors` | `list[str]` | Recent error messages (max 50) |
| `warnings` | `list[str]` | Recent warning messages (max 50) |
| `status` | `str` | Current status message |
| `currentObject` | `str` | Item currently being processed |
| `exitCode` | `int` | Process exit code (0 = success) |
| `exitMessage` | `str` | Exit message details |
| `metrics` | `TASK_METRICS` | CPU, memory, and GPU utilization |
| `tokens` | `TASK_TOKENS` | Token usage for billing |
| `pipeflow` | `TASK_STATUS_FLOW` | Pipeline component execution flow |

### Metrics Fields (`metrics`)

| Field | Type | Description |
|---|---|---|
| `cpu_percent` | `float` | Current CPU utilization (0-100%) |
| `cpu_memory_mb` | `float` | Current RAM usage in MB |
| `gpu_memory_mb` | `float` | Current GPU VRAM usage in MB |
| `peak_cpu_percent` | `float` | Peak CPU utilization |
| `peak_cpu_memory_mb` | `float` | Peak RAM usage in MB |
| `peak_gpu_memory_mb` | `float` | Peak GPU VRAM usage in MB |

### Token Usage Fields (`tokens`)

| Field | Type | Description |
|---|---|---|
| `cpu_utilization` | `float` | Cumulative CPU utilization tokens |
| `cpu_memory` | `float` | Cumulative CPU memory tokens |
| `gpu_memory` | `float` | Cumulative GPU memory tokens |
| `total` | `float` | Total cumulative tokens |

### Usage Examples

**Basic Status Check (Python)**
```python
from rocketride import RocketRideClient

async with RocketRideClient(auth='your-api-key') as client:
    result = await client.use(filepath='pipeline.json')
    token = result['token']

    status = await client.get_task_status(token)
    print(f'State: {status["state"]}')
    print(f'Progress: {status["completedCount"]}/{status["totalCount"]}')
```

**Basic Status Check (TypeScript)**
```typescript
import { RocketRideClient } from 'rocketride';

const client = new RocketRideClient({ auth: 'your-api-key' });
await client.connect();

const result = await client.use({ filepath: './pipeline.json' });
const status = await client.getTaskStatus(result.token);
console.log(`State: ${status.state}`);
console.log(`Progress: ${status.completedCount}/${status.totalCount}`);

await client.disconnect();
```

**Polling Until Completion (Python)**
```python
import asyncio

status = await client.get_task_status(token)
while not status['completed']:
    print(f'Processing: {status["completedCount"]}/{status["totalCount"]}')

    if status['errors']:
        for error in status['errors']:
            print(f'Error: {error}')

    await asyncio.sleep(2)
    status = await client.get_task_status(token)

print(f'Pipeline finished with exit code: {status["exitCode"]}')
```

**Polling Until Completion (TypeScript)**
```typescript
let status = await client.getTaskStatus(token);
while (!status.completed) {
    console.log(`Processing: ${status.completedCount}/${status.totalCount}`);
    await new Promise(resolve => setTimeout(resolve, 2000));
    status = await client.getTaskStatus(token);
}
console.log('Pipeline complete!');
```

### Task States

| State | Value | Description |
|---|---|---|
| `NONE` | `0` | Initial state — no resources allocated |
| `STARTING` | `1` | Resource allocation and subprocess preparation |
| `INITIALIZING` | `2` | Subprocess initialization and service startup |
| `RUNNING` | `3` | Operational — actively processing requests |
| `STOPPING` | `4` | Graceful shutdown in progress |
| `COMPLETED` | `5` | Finished successfully — resources cleaned up |
| `CANCELLED` | `6` | Terminated before completion |

```
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