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packages/python-sdk/README.md

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+# Sim Python SDK
+
+The official Python SDK for [Sim](https://sim.ai), allowing you to execute workflows programmatically from your Python applications.
+
+## Installation
+
+```bash
+pip install simstudio-sdk
+```
+
+## Quick Start
+
+```python
+import os
+from simstudio import SimStudioClient
+
+# Initialize the client
+client = SimStudioClient(
+    api_key=os.getenv("SIM_API_KEY", "your-api-key-here"),
+    base_url="https://sim.ai"  # optional, defaults to https://sim.ai
+)
+
+# Execute a workflow
+try:
+    result = client.execute_workflow("workflow-id")
+    print("Workflow executed successfully:", result)
+except Exception as error:
+    print("Workflow execution failed:", error)
+```
+
+## API Reference
+
+### SimStudioClient
+
+#### Constructor
+
+```python
+SimStudioClient(api_key: str, base_url: str = "https://sim.ai")
+```
+
+- `api_key` (str): Your Sim API key
+- `base_url` (str, optional): Base URL for the Sim API (defaults to `https://sim.ai`)
+
+#### Methods
+
+##### execute_workflow(workflow_id, input=None, *, timeout=30.0, stream=None, selected_outputs=None, async_execution=None)
+
+Execute a workflow with optional input data.
+
+```python
+# With dict input (spread at root level of request body)
+result = client.execute_workflow("workflow-id", {"message": "Hello, world!"})
+
+# With primitive input (wrapped as { input: value })
+result = client.execute_workflow("workflow-id", "NVDA")
+
+# With options (keyword-only arguments)
+result = client.execute_workflow("workflow-id", {"message": "Hello"}, timeout=60.0)
+```
+
+**Parameters:**
+- `workflow_id` (str): The ID of the workflow to execute
+- `input` (any, optional): Input data to pass to the workflow. Dicts are spread at the root level, primitives/lists are wrapped in `{ input: value }`. File objects are automatically converted to base64.
+- `timeout` (float, keyword-only): Timeout in seconds (default: 30.0)
+- `stream` (bool, keyword-only): Enable streaming responses
+- `selected_outputs` (list, keyword-only): Block outputs to stream (e.g., `["agent1.content"]`)
+- `async_execution` (bool, keyword-only): Execute asynchronously and return execution ID
+
+**Returns:** `WorkflowExecutionResult` or `AsyncExecutionResult`
+
+##### get_workflow_status(workflow_id)
+
+Get the status of a workflow (deployment status, etc.).
+
+```python
+status = client.get_workflow_status("workflow-id")
+print("Is deployed:", status.is_deployed)
+```
+
+**Parameters:**
+- `workflow_id` (str): The ID of the workflow
+
+**Returns:** `WorkflowStatus`
+
+##### validate_workflow(workflow_id)
+
+Validate that a workflow is ready for execution.
+
+```python
+is_ready = client.validate_workflow("workflow-id")
+if is_ready:
+    # Workflow is deployed and ready
+    pass
+```
+
+**Parameters:**
+- `workflow_id` (str): The ID of the workflow
+
+**Returns:** `bool`
+
+##### execute_workflow_sync(workflow_id, input=None, *, timeout=30.0, stream=None, selected_outputs=None)
+
+Execute a workflow synchronously (ensures non-async mode).
+
+```python
+result = client.execute_workflow_sync("workflow-id", {"data": "some input"}, timeout=60.0)
+```
+
+**Parameters:**
+- `workflow_id` (str): The ID of the workflow to execute
+- `input` (any, optional): Input data to pass to the workflow
+- `timeout` (float, keyword-only): Timeout in seconds (default: 30.0)
+- `stream` (bool, keyword-only): Enable streaming responses
+- `selected_outputs` (list, keyword-only): Block outputs to stream (e.g., `["agent1.content"]`)
+
+**Returns:** `WorkflowExecutionResult`
+
+##### get_job_status(job_id)
+
+Get the status of an async job.
+
+```python
+status = client.get_job_status("job-id-from-async-execution")
+print("Job status:", status)
+```
+
+**Parameters:**
+- `job_id` (str): The job ID returned from async execution
+
+**Returns:** `dict`
+
+##### execute_with_retry(workflow_id, input=None, *, timeout=30.0, stream=None, selected_outputs=None, async_execution=None, max_retries=3, initial_delay=1.0, max_delay=30.0, backoff_multiplier=2.0)
+
+Execute a workflow with automatic retry on rate limit errors.
+
+```python
+result = client.execute_with_retry(
+    "workflow-id",
+    {"message": "Hello"},
+    timeout=30.0,
+    max_retries=3,
+    initial_delay=1.0,
+    max_delay=30.0,
+    backoff_multiplier=2.0
+)
+```
+
+**Parameters:**
+- `workflow_id` (str): The ID of the workflow to execute
+- `input` (any, optional): Input data to pass to the workflow
+- `timeout` (float, keyword-only): Timeout in seconds (default: 30.0)
+- `stream` (bool, keyword-only): Enable streaming responses
+- `selected_outputs` (list, keyword-only): Block outputs to stream
+- `async_execution` (bool, keyword-only): Execute asynchronously
+- `max_retries` (int, keyword-only): Maximum retry attempts (default: 3)
+- `initial_delay` (float, keyword-only): Initial delay in seconds (default: 1.0)
+- `max_delay` (float, keyword-only): Maximum delay in seconds (default: 30.0)
+- `backoff_multiplier` (float, keyword-only): Backoff multiplier (default: 2.0)
+
+**Returns:** `WorkflowExecutionResult` or `AsyncExecutionResult`
+
+##### get_rate_limit_info()
+
+Get current rate limit information from the last API response.
+
+```python
+rate_info = client.get_rate_limit_info()
+if rate_info:
+    print("Remaining requests:", rate_info.remaining)
+```
+
+**Returns:** `RateLimitInfo` or `None`
+
+##### get_usage_limits()
+
+Get current usage limits and quota information.
+
+```python
+limits = client.get_usage_limits()
+print("Current usage:", limits.usage)
+```
+
+**Returns:** `UsageLimits`
+
+##### set_api_key(api_key)
+
+Update the API key.
+
+```python
+client.set_api_key("new-api-key")
+```
+
+##### set_base_url(base_url)
+
+Update the base URL.
+
+```python
+client.set_base_url("https://my-custom-domain.com")
+```
+
+##### close()
+
+Close the underlying HTTP session.
+
+```python
+client.close()
+```
+
+## Data Classes
+
+### WorkflowExecutionResult
+
+```python
+@dataclass
+class WorkflowExecutionResult:
+    success: bool
+    output: Optional[Any] = None
+    error: Optional[str] = None
+    logs: Optional[list] = None
+    metadata: Optional[Dict[str, Any]] = None
+    trace_spans: Optional[list] = None
+    total_duration: Optional[float] = None
+```
+
+### WorkflowStatus
+
+```python
+@dataclass
+class WorkflowStatus:
+    is_deployed: bool
+    deployed_at: Optional[str] = None
+    needs_redeployment: bool = False
+```
+
+### SimStudioError
+
+```python
+class SimStudioError(Exception):
+    def __init__(self, message: str, code: Optional[str] = None, status: Optional[int] = None):
+        super().__init__(message)
+        self.code = code
+        self.status = status
+```
+
+### AsyncExecutionResult
+
+```python
+@dataclass
+class AsyncExecutionResult:
+    success: bool
+    job_id: str
+    status_url: str
+    execution_id: Optional[str] = None
+    message: str = ""
+    async_execution: bool = True
+```
+
+### RateLimitInfo
+
+```python
+@dataclass
+class RateLimitInfo:
+    limit: int
+    remaining: int
+    reset: int
+    retry_after: Optional[int] = None
+```
+
+### UsageLimits
+
+```python
+@dataclass
+class UsageLimits:
+    success: bool
+    rate_limit: Dict[str, Any]
+    usage: Dict[str, Any]
+```
+
+## Examples
+
+### Basic Workflow Execution
+
+```python
+import os
+from simstudio import SimStudioClient
+
+client = SimStudioClient(api_key=os.getenv("SIM_API_KEY"))
+
+def run_workflow():
+    try:
+        # Check if workflow is ready
+        is_ready = client.validate_workflow("my-workflow-id")
+        if not is_ready:
+            raise Exception("Workflow is not deployed or ready")
+
+        # Execute the workflow
+        result = client.execute_workflow(
+            "my-workflow-id",
+            {
+                "message": "Process this data",
+                "user_id": "12345"
+            }
+        )
+
+        if result.success:
+            print("Output:", result.output)
+            print("Duration:", result.metadata.get("duration") if result.metadata else None)
+        else:
+            print("Workflow failed:", result.error)
+            
+    except Exception as error:
+        print("Error:", error)
+
+run_workflow()
+```
+
+### Error Handling
+
+```python
+from simstudio import SimStudioClient, SimStudioError
+import os
+
+client = SimStudioClient(api_key=os.getenv("SIM_API_KEY"))
+
+def execute_with_error_handling():
+    try:
+        result = client.execute_workflow("workflow-id")
+        return result
+    except SimStudioError as error:
+        if error.code == "UNAUTHORIZED":
+            print("Invalid API key")
+        elif error.code == "TIMEOUT":
+            print("Workflow execution timed out")
+        elif error.code == "USAGE_LIMIT_EXCEEDED":
+            print("Usage limit exceeded")
+        elif error.code == "INVALID_JSON":
+            print("Invalid JSON in request body")
+        else:
+            print(f"Workflow error: {error}")
+        raise
+    except Exception as error:
+        print(f"Unexpected error: {error}")
+        raise
+```
+
+### Context Manager Usage
+
+```python
+from simstudio import SimStudioClient
+import os
+
+# Using context manager to automatically close the session
+with SimStudioClient(api_key=os.getenv("SIM_API_KEY")) as client:
+    result = client.execute_workflow("workflow-id")
+    print("Result:", result)
+# Session is automatically closed here
+```
+
+### Environment Configuration
+
+```python
+import os
+from simstudio import SimStudioClient
+
+# Using environment variables
+client = SimStudioClient(
+    api_key=os.getenv("SIM_API_KEY"),
+    base_url=os.getenv("SIM_BASE_URL", "https://sim.ai")
+)
+```
+
+### File Upload
+
+File objects are automatically detected and converted to base64 format. Include them in your input under the field name matching your workflow's API trigger input format:
+
+The SDK converts file objects to this format:
+```python
+{
+  'type': 'file',
+  'data': 'data:mime/type;base64,base64data',
+  'name': 'filename',
+  'mime': 'mime/type'
+}
+```
+
+Alternatively, you can manually provide files using the URL format:
+```python
+{
+  'type': 'url',
+  'data': 'https://example.com/file.pdf',
+  'name': 'file.pdf',
+  'mime': 'application/pdf'
+}
+```
+
+```python
+from simstudio import SimStudioClient
+import os
+
+client = SimStudioClient(api_key=os.getenv("SIM_API_KEY"))
+
+# Upload a single file - include it under the field name from your API trigger
+with open('document.pdf', 'rb') as f:
+    result = client.execute_workflow(
+        'workflow-id',
+        {
+            'documents': [f],  # Must match your workflow's "files" field name
+            'instructions': 'Analyze this document'
+        }
+    )
+
+# Upload multiple files
+with open('doc1.pdf', 'rb') as f1, open('doc2.pdf', 'rb') as f2:
+    result = client.execute_workflow(
+        'workflow-id',
+        {
+            'attachments': [f1, f2],  # Must match your workflow's "files" field name
+            'query': 'Compare these documents'
+        }
+    )
+```
+
+### Batch Workflow Execution
+
+```python
+from simstudio import SimStudioClient
+import os
+
+client = SimStudioClient(api_key=os.getenv("SIM_API_KEY"))
+
+def execute_workflows_batch(workflow_data_pairs):
+    """Execute multiple workflows with different input data."""
+    results = []
+
+    for workflow_id, workflow_input in workflow_data_pairs:
+        try:
+            # Validate workflow before execution
+            if not client.validate_workflow(workflow_id):
+                print(f"Skipping {workflow_id}: not deployed")
+                continue
+
+            result = client.execute_workflow(workflow_id, workflow_input)
+            results.append({
+                "workflow_id": workflow_id,
+                "success": result.success,
+                "output": result.output,
+                "error": result.error
+            })
+
+        except Exception as error:
+            results.append({
+                "workflow_id": workflow_id,
+                "success": False,
+                "error": str(error)
+            })
+
+    return results
+
+# Example usage
+workflows = [
+    ("workflow-1", {"type": "analysis", "data": "sample1"}),
+    ("workflow-2", {"type": "processing", "data": "sample2"}),
+]
+
+results = execute_workflows_batch(workflows)
+for result in results:
+    print(f"Workflow {result['workflow_id']}: {'Success' if result['success'] else 'Failed'}")
+```
+
+## Getting Your API Key
+
+1. Log in to your [Sim](https://sim.ai) account
+2. Navigate to your workflow
+3. Click on "Deploy" to deploy your workflow
+4. Select or create an API key during the deployment process
+5. Copy the API key to use in your application
+
+## Development
+
+### Running Tests
+
+To run the tests locally:
+
+1. Clone the repository and navigate to the Python SDK directory:
+   ```bash
+   cd packages/python-sdk
+   ```
+
+2. Create and activate a virtual environment:
+   ```bash
+   python3 -m venv venv
+   source venv/bin/activate  # On Windows: venv\Scripts\activate
+   ```
+
+3. Install the package in development mode with test dependencies:
+   ```bash
+   pip install -e ".[dev]"
+   ```
+
+4. Run the tests:
+   ```bash
+   pytest tests/ -v
+   ```
+
+### Code Quality
+
+Run code quality checks:
+
+```bash
+# Code formatting
+black simstudio/
+
+# Linting
+flake8 simstudio/ --max-line-length=100
+
+# Type checking
+mypy simstudio/
+
+# Import sorting
+isort simstudio/
+```
+
+## Requirements
+
+- Python 3.8+
+- requests >= 2.25.0
+
+## License
+
+Apache-2.0