diff --git a/apps/batching.mdx b/apps/batching.mdx
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+++ b/apps/batching.mdx
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+---
+title: "Batching"
+description: "Execute multiple invocations in parallel with concurrency control"
+---
+
+Batch invocations allow you to execute the same action multiple times with different payloads in parallel. This is useful for processing large datasets, running bulk operations, or executing multiple tasks concurrently.
+
+## Creating a batch job
+
+Create a batch job by providing an array of payloads to execute:
+
+<CodeGroup>
+```typescript Typescript/Javascript
+import Kernel from '@onkernel/sdk';
+
+const kernel = new Kernel();
+
+const batchJob = await kernel.invocations.batch.create({
+  app_name: 'my-app',
+  action_name: 'analyze',
+  version: '1.0.0',
+  payloads: [
+    JSON.stringify({ url: "https://example.com/page1" }),
+    JSON.stringify({ url: "https://example.com/page2" }),
+    JSON.stringify({ url: "https://example.com/page3" }),
+  ],
+  max_concurrency: 5, // Optional: limit concurrent executions
+});
+
+console.log(batchJob.batch_job_id);
+console.log(batchJob.total_count);
+```
+
+```python Python
+from kernel import Kernel
+import json
+
+kernel = Kernel()
+
+batch_job = kernel.invocations.batch.create(
+    app_name="my-app",
+    action_name="analyze",
+    version="1.0.0",
+    payloads=[
+        json.dumps({"url": "https://example.com/page1"}),
+        json.dumps({"url": "https://example.com/page2"}),
+        json.dumps({"url": "https://example.com/page3"}),
+    ],
+    max_concurrency=5,  # Optional: limit concurrent executions
+)
+
+print(batch_job.batch_job_id)
+print(batch_job.total_count)
+```
+</CodeGroup>
+
+### Parameters
+
+- `app_name` (required): The name of your deployed app.
+- `action_name` (required): The action to invoke.
+- `version` (optional): The app version to use. Defaults to `"latest"`.
+- `payloads` (required): Array of JSON strings, each representing a payload for one invocation.
+- `max_concurrency` (optional): Maximum number of concurrent invocations. If not specified, defaults to your organization's max_concurrent_invocations limit (5 for Developer, 50 for Start-Up, 1000 for Enterprise).
+
+<Info>
+Each payload must be a valid JSON string and follows the same 64 KB size limit as regular invocations.
+</Info>
+
+## Listing batch jobs
+
+Retrieve all batch jobs for your organization with optional filtering:
+
+<CodeGroup>
+```typescript Typescript/Javascript
+const batchJobs = await kernel.batchJobs.list({
+  app_name: 'my-app',
+  status: 'running',
+  limit: 50,
+  offset: 0,
+});
+
+for (const job of batchJobs) {
+  console.log(`${job.id}: ${job.succeeded_count}/${job.total_count} succeeded`);
+}
+```
+
+```python Python
+batch_jobs = kernel.batch_jobs.list(
+    app_name="my-app",
+    status="running",
+    limit=50,
+    offset=0,
+)
+
+for job in batch_jobs:
+    print(f"{job.id}: {job.succeeded_count}/{job.total_count} succeeded")
+```
+</CodeGroup>
+
+### Filter parameters
+
+- `app_name` (optional): Filter by app name.
+- `action_name` (optional): Filter by action name.
+- `status` (optional): Filter by status (`queued`, `running`, `succeeded`, `failed`, `partially_failed`).
+- `limit` (optional): Number of results to return (default: 50).
+- `offset` (optional): Number of results to skip for pagination.
+
+## Getting batch job details
+
+Retrieve detailed information about a specific batch job, including all individual invocations:
+
+<CodeGroup>
+```typescript Typescript/Javascript
+const batchJob = await kernel.batchJobs.retrieve('batch_job_id');
+
+console.log(`Status: ${batchJob.status}`);
+console.log(`Progress: ${batchJob.succeeded_count}/${batchJob.total_count}`);
+
+// Access individual invocations
+for (const invocation of batchJob.invocations) {
+  console.log(`${invocation.id}: ${invocation.status}`);
+}
+```
+
+```python Python
+batch_job = kernel.batch_jobs.retrieve("batch_job_id")
+
+print(f"Status: {batch_job.status}")
+print(f"Progress: {batch_job.succeeded_count}/{batch_job.total_count}")
+
+# Access individual invocations
+for invocation in batch_job.invocations:
+    print(f"{invocation.id}: {invocation.status}")
+```
+</CodeGroup>
+
+## Streaming batch job progress
+
+Monitor batch job progress in real-time using Server-Sent Events (SSE):
+
+<CodeGroup>
+```typescript Typescript/Javascript
+const stream = await kernel.batchJobs.events.retrieve('batch_job_id');
+
+for await (const event of stream) {
+  if (event.event === 'batch_progress') {
+    console.log(`Progress: ${event.succeeded_count}/${event.total_count}`);
+  } else if (event.event === 'batch_state') {
+    console.log(`Status changed to: ${event.batch_job.status}`);
+  }
+}
+```
+
+```python Python
+stream = kernel.batch_jobs.events.retrieve("batch_job_id")
+
+for event in stream:
+    if event.event == "batch_progress":
+        print(f"Progress: {event.succeeded_count}/{event.total_count}")
+    elif event.event == "batch_state":
+        print(f"Status changed to: {event.batch_job.status}")
+```
+</CodeGroup>
+
+### Event types
+
+- `batch_state`: Sent when the batch job status changes (initial state and terminal states).
+- `batch_progress`: Sent when invocation counts change (succeeded or failed count updates).
+
+## Batch job statuses
+
+Batch jobs progress through the following statuses:
+
+- `queued`: Batch job created, waiting to start.
+- `running`: Invocations are being executed.
+- `succeeded`: All invocations completed successfully.
+- `failed`: Batch job encountered a critical error.
+- `partially_failed`: Some invocations succeeded, others failed.
+
+## Best practices
+
+### Concurrency control
+
+Use `max_concurrency` to control resource usage and avoid overwhelming downstream services:
+
+```typescript
+const batchJob = await kernel.invocations.batch.create({
+  app_name: 'my-app',
+  action_name: 'scrape',
+  payloads: urls.map(url => JSON.stringify({ url })),
+  max_concurrency: 10, // Process 10 URLs at a time
+});
+```
+
+### Error handling
+
+Individual invocation failures don't stop the batch job. Check the final status and review failed invocations:
+
+```typescript
+const batchJob = await kernel.batchJobs.retrieve('batch_job_id');
+
+if (batchJob.status === 'partially_failed' || batchJob.status === 'failed') {
+  const failedInvocations = batchJob.invocations.filter(
+    inv => inv.status === 'failed'
+  );
+  console.log(`${failedInvocations.length} invocations failed`);
+}
+```
+
+### Payload size limits
+
+Each payload is limited to 64 KB. For larger inputs, store data externally and pass references:
+
+```typescript
+// Instead of large payloads
+const payloads = largeDatasets.map(data => JSON.stringify(data)); // ❌ May exceed 64 KB
+
+// Use references
+const payloads = dataUrls.map(url => JSON.stringify({ data_url: url })); // ✅ Small payload
+```
diff --git a/docs.json b/docs.json
index a26e7e5..ba8870a 100644
--- a/docs.json
+++ b/docs.json
@@ -92,6 +92,7 @@
               "apps/develop",
               "apps/deploy",
               "apps/invoke",
+              "apps/batching",
               "apps/stop",
               "apps/secrets",
               "apps/status",