Robo Meister apps FlowBeacon AI · Task orchestration

From business request to AI result

Give AI a task.
Bring the result back to your work.

FlowBeacon connects tasks with configured AI resources and returns results your application can handle. Keep the request, execution status and proposed next step connected.

The example is a local simulation. Production execution requires an account, configured tasks and provider access.

Illustrative task · no model call

A useful proposal, with a clear next step.

A team needs a clearer review brief. Its application supplies the task and a document excerpt. Explore three possible response states using fictional data.

01 / Application request

Prepare a review brief

“Suggest a clearer task description from the context below and identify missing information.”

Task
Review the supplier agreement
Context supplied by the application
Draft v3; scope of services is available; the review owner has not been recorded.
Business boundary
The application will review the proposal before changing the task.

This is an explanatory scenario, not a submitted execution request or a promise of legal review.

02 / FlowBeacon response

Showing a simulated completed response.

Technical result ready

A brief for your team to review

Proposed task description: “Review the scope of services in supplier agreement v3. Confirm who owns the review before scheduling approval.”

Uncertainty: The review owner is not included in the supplied context.

The application still validates this proposal. The task has not been changed or marked complete.

How it works

An explicit request. A result you can handle.

01

Prepare the task

Your application chooses the task, supplies relevant context and checks whether execution is allowed.

02

Resolve the execution

For signed execution requests, FlowBeacon checks the request identity and uses the configured technical-task mapping.

03

Use the configured resources

The runtime calls the selected provider with the prepared prompt and required output format.

04

Return and review

The application receives a correlated result, pending state or error. It validates the output before applying business changes.

Capabilities with a defined scope

Start with a configured task and provider.

Available behavior depends on the execution path and deployment. These are implementation capabilities, not a live availability report.

Versioned contract

Structured task results

Supported task profiles return schema-bound output with execution correlation. Pending and error responses remain distinct.

Configuration required

Provider execution

OpenAI execution code is present. Real calls require provider credentials, task mapping, quota entitlement and enabled provider networking.

Separate execution paths

Orchestration tools

The repository also includes voting, fallback and workflow components. Their availability depends on the selected path; they are not all implied by one API call.

Check integration requirements and limitations →

Two ways to connect

Use FlowBeacon where your work happens.

In your application

Integrate with the HTTP API. Your application owns task preparation, authentication, context selection and acceptance of the result.

The structured-result path requires a trusted issuer and a configured technical task. Installing the SDK alone does not enable execution.

Start with the API guide →

With Robo Connector

Use AI within a business workflow. Robo Connector supplies the scoped request and receives proposals for domain validation and review.

Technical success does not close a matter, approve a document or complete a business task.

Explore Robo Connector →

Context & control

Keep responsibility visible.

The caller decides what information belongs in a request and which business actions it may authorize. FlowBeacon executes within the configured integration and returns the technical outcome.

Context Engine supports queue and memory integrations. The direct HTTP path has its own request contract; it does not imply that every call subscribes to a shared Task Board.

Read the integration boundaries →

Questions to resolve before execution

  • Which task and source version are being used?
  • What context may be sent to the provider?
  • Which provider and credentials are configured?
  • What output schema is expected?
  • Who validates and accepts the result?

Risk, legal requirements and approval decisions need explicit application rules. Token verification does not establish business eligibility.

API & PHP SDK

Connect the request.
Understand the response.

Use HTTP for execution and the PHP SDK for token verification and structured-result parsing.

Install with Composer

composer require robo-meister/flow-beacon-api

PHP 8.2+ · Composer 2

The package provides authentication and result-contract helpers. It does not send or automatically poll execution requests.

SDK source & contracts →

Availability & costs

Check both the workspace and the provider.

Workspace access

Features and usage limits depend on your account and plan.

View plans →

Provider access

Confirm how credentials and provider usage are billed in your deployment. A FlowBeacon account alone does not establish access to a model.

Try the example

The demonstration uses fictional, local content. It does not consume provider tokens or show production performance measurements.

Explore the example →

Start with one task

Connect AI to a useful next step.

Account setup uses the shared Robo Meister sign-in. Provider configuration is a separate step.