page:recipes:ai workflow runner:axum:response streaming

Host AI Workflow Runner with Axum: Streamed Responses

Summary

Deploy an AI workflow runner built with Axum on Ample using the streaming response service pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, and a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL.

Representative Queries

• Host AI workflow runner with Axum: streamed responses
• Where can I host AI workflow runner built with Axum?
• I need a tested end-to-end streaming transport, timeout behavior and client disconnect handling.

Resource Requirements

• Primitive: Compute
• Primitive: Postgres

Infrastructure Requirements

• Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.

• Postgres: Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned when an app needs a database and no DATABASE_URL is supplied.

Prerequisites

• An Axum project that builds and starts with the documented commands.
• A PostgreSQL driver reading DATABASE_URL at runtime.
• An Ample account token with servers:write, databases:read.

Tested Configuration

• Template: ubuntu-24.04
• Runtime: rust
• Size: s-1vcpu-2gb
• Build: cargo build --release
• Start: ./$(ls target/release/*.d | grep -v '/lib' | head -n 1 | sed 's/\.d$//')

Workflow Steps

1. Build and Start
   cargo build --release in the rust builder image, then the release binary on the ubuntu-24.04 template.

2. Implement the Pattern on PostgreSQL
   The fixture's module implements a Server-Sent Events endpoint read incrementally through the public HTTPS gateway.

3. Deploy
   Run the synchronous deploy once and read the result. Command: ample deploy . --name --public

4. Verify
   Fetch the live URL and the pattern self-test routes. Command: ample logs --kind build

Examples

• Axum Pattern Fixture: Multi-pattern Axum app whose streaming response service module was checked live.

Success Checks

• App responds on its public URL
• Streaming-response-service self-test: an SSE stream with incrementally read chunks.

Limitations

• Verified on the ubuntu-24.04 template at s-1vcpu-2gb; other sizes are not verified.
• The AI workflow runner behavior is application code and was not separately tested.

Cost Estimate

• Monthly Amount: $10.00
  • App Server: $5.00
  • Managed PostgreSQL Database: $5.00

Evidence Summary

• Axum pattern fixture deployed on Ample with streaming response checks passed.

Next Actions

1. Browse the Catalog Index
   Method: GET Relative Path: /v1/catalog

2. Search Published Recipes
   Method: POST Relative Path: /v1/catalog/search Parameters: { "body": {"limit": 5, "query": "Host ai workflow runner with Axum: streamed responses"} }

3. Prepare a Deployment Plan
   Method: POST Relative Path: /v1/catalog/plan

4. Read Existing Agent Authentication Setup
   Method: GET Relative Path: /mcp/setup