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docs(website): add an agent runtimes docs section (#913)
* docs(website): add an agent runtimes docs section One `runtimes` docs library with a section per measured AG-UI runtime — AWS Strands, Microsoft Agent Framework, and Mastra — each carrying an overview, a local quickstart, and a page recording the wire conventions measured on 2026-08-31. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * docs(website): present the Mastra hosted demo as live The Mastra Railway service and AG_UI_MASTRA_URL are now provisioned, and POST examples.threadplane.ai/runtimes/mastra/agent returns a real RUN_STARTED -> TEXT_MESSAGE_CHUNK -> RUN_FINISHED stream. Drop the hosted-backend caveat and the local-quickstart-as-workaround framing, and match the See-it-live callout the Strands and MAF overviews use. Also correct the now-false 'not yet running in the hosted demo deployment' note on the runtime matrix. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
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‎apps/website/content/docs/choosing-an-adapter/index.mdx‎

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The LangGraph bridge reads `forwardedProps.command.resume`.
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You pass one neutral `submit({ resume })`, and the adapter derives the wire shape from how the interrupt arrived.
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**The Mastra row was measured, but not in the hosted demo.**
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**The Mastra row is hosted on its own lane.**
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Its cells come from a real Mastra server driven with live model calls, and its transcripts are committed and replayed like the others.
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Unlike the Strands and Microsoft Agent Framework rows, it is not yet running in the hosted demo deployment.
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Unlike the Strands and Microsoft Agent Framework rows, it is not served by the shared FastAPI deployment: upstream ships no plain AG-UI HTTP endpoint, so its backend is a separate Node service.
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**Subagents are red for every third-party runtime, and none of those reds are a bug.**
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The three runtimes do not fail to implement one thing; they model delegation three different ways.

‎apps/website/content/docs/runtimes/aws-strands/how-it-connects.mdx‎

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---
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title: How It Connects
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description: The AG-UI wire conventions measured for AWS Strands: outcome interrupts, top-level resume entries, and snapshot-only state.
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---
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# How AWS Strands Connects
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This page records the AG-UI wire behavior measured for the Strands bridge on 2026-08-31. It describes what the runtime emitted, not what the protocol permits in general. The captured Server-Sent Events are committed at [`libs/ag-ui/fixtures/runtime-transcripts/`](https://github.com/cacheplane/angular-agent-framework/tree/main/libs/ag-ui/fixtures/runtime-transcripts) and replayed by the adapter test suite on every run.
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## Transport
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The example serves a single AG-UI endpoint from FastAPI.
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| Route | Method | Notes |
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|---|---|---|
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| `/agent` | `POST` | `RunAgentInput` JSON in, Server-Sent Events out. |
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| `/ok` | `GET` | Unauthenticated health check. |
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On the Angular side that is an ordinary `provideAgent({ url: '/agent' })`. Nothing about the adapter configuration is Strands-specific.
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## Interrupts use the outcome convention
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Strands signals an interrupt through the protocol-standard run outcome and never through a `CUSTOM` event:
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```json
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{
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"type": "RUN_FINISHED",
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"outcome": {
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"type": "interrupt",
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"interrupts": [{ "interruptId": "...", "value": { } }]
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}
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}
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```
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This is the opposite of the LangGraph bridge, which signals interrupts only through a `CUSTOM` event named `on_interrupt` and never sets an outcome. The adapter detects either convention; within a single run, the first signal it sees wins.
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The reducer originally keyed interrupts on `on_interrupt` alone, which meant a Strands run finalized as a success with a dangling approval call and an undefined `interrupt()`. That was an adapter defect, and it is fixed.
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## Resume uses top-level entries
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Strands reads resume data from the protocol-standard top-level `resume` array, one entry per interrupt, keyed by `interruptId`:
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```json
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{
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"resume": [
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{ "interruptId": "...", "status": "accepted", "payload": { } }
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]
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}
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```
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Application code does not assemble that. You call the neutral `submit({ resume })`, and the adapter derives the wire shape from how the interrupt arrived. The same call against a Mastra backend produces `forwardedProps.command.interruptEvent` instead, and against the LangGraph bridge produces `forwardedProps.command.resume`.
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## State is snapshot-only
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The bridge emits `STATE_SNAPSHOT` and never `STATE_DELTA`. State reaches the wire only where a tool opts in with a `ToolBehavior` hook:
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```python
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StrandsAgentConfig(
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tool_behaviors={
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"check_availability": ToolBehavior(state_from_result=availability_state),
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"book_meeting": ToolBehavior(state_from_args=booking_state),
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},
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)
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```
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`state_from_result` fires after the tool returns. `state_from_args` fires as the tool call's arguments finish streaming, which is what puts a pending booking into state *before* the interrupt pauses the run.
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Because the adapter applies a snapshot as a full replacement, both hooks return the complete state object. A hook that returns a partial object silently drops whatever the other hook had written.
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## Subagents emit nothing the adapter can read
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Delegation is routed through a `CUSTOM` `MultiAgentHandoff` event plus `STEP_*` events, with no `ACTIVITY` events at any point. The Threadplane subagent projection keys on an `activityType` of `subagent`, so there is nothing to project.
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The AG-UI protocol has carried dedicated `SUBAGENT_STARTED`, `SUBAGENT_FINISHED`, and `SUBAGENT_ERROR` events since `@ag-ui/core` 0.0.59. No runtime measured here emits them yet.
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## Next steps
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- [Overview](/docs/runtimes/aws-strands/overview) — what the integration supports.
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- [Microsoft Agent Framework — How It Connects](/docs/runtimes/microsoft-agent-framework/how-it-connects) — the same outcome convention, a different resume requirement.
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- [Choosing an adapter](/docs/choosing-an-adapter) — the full matrix and its cause analysis.

‎apps/website/content/docs/runtimes/aws-strands/overview.mdx‎

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---
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title: Overview
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description: What the AWS Strands integration demonstrates through @threadplane/ag-ui, and where its shared-state support stops short.
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---
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# AWS Strands Overview
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[AWS Strands](https://strandsagents.com) is an open-source Python agent SDK from AWS. Its AG-UI bridge, `ag-ui-strands`, turns a Strands `Agent` into an AG-UI event stream, which is all `@threadplane/ag-ui` needs in order to bind it to `<chat>`.
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The Threadplane example is a meeting scheduler. It runs a Strands agent behind FastAPI, streams to an ordinary Angular app, and pauses for human approval before it books anything.
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<Callout type="tip" title="See it live">
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The hosted example runs at [examples.threadplane.ai/runtimes/aws-strands](https://examples.threadplane.ai/runtimes/aws-strands/). The source is [`cockpit/runtimes/aws-strands`](https://github.com/cacheplane/angular-agent-framework/tree/main/cockpit/runtimes/aws-strands).
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</Callout>
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## What the integration demonstrates
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| Surface | Status | How |
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|---|---|---|
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| Messages | Supported | Streamed assistant text from a Strands `Agent`. |
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| Tool calls | Supported | `check_availability` executes server-side with no pause. |
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| Shared state | Partial | Snapshot-only, and opt-in per tool. See below. |
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| Interrupts | Supported | `book_meeting` parks in `tool_context.interrupt(...)`. |
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| Subagents | Not available | The bridge emits no `ACTIVITY` events at all. |
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## Shared state is partial, and the reason matters
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The Strands bridge never emits `STATE_DELTA`. Outbound state exists only where a tool opts in through a per-tool `ToolBehavior` hook: the example wires `state_from_result` on `check_availability` and `state_from_args` on `book_meeting`.
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Because the adapter applies a `STATE_SNAPSHOT` as a full replacement, every hook has to return the **complete** state object. A hook that returns only the keys it changed clobbers its siblings.
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Shared state does work on Strands. It is snapshot-only, it is opt-in per tool, and it puts the burden of assembling the whole object on each hook. That is a real constraint to design around, not a rounding error, which is why the measured matrix records it as partial rather than green.
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## Subagents are not available
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The Strands bridge routes delegation through a `CUSTOM` `MultiAgentHandoff` event plus `STEP_*` events, and emits zero `ACTIVITY` events. The Threadplane subagent projection keys on an `activityType` of `subagent`, so there is nothing for it to consume.
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This is an upstream gap rather than an adapter defect, and it is shared by every third-party runtime measured so far. Multi-agent routes also crash the stale PyPI wheel, which is one reason the example pins the bridge to a git reference instead.
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## Model access
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Strands' native OpenAI provider is used on a plain `OPENAI_API_KEY`. No AWS credentials are involved anywhere in this example, despite the runtime's name.
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## Next steps
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- [Quickstart](/docs/runtimes/aws-strands/quickstart) — run the example locally.
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- [How It Connects](/docs/runtimes/aws-strands/how-it-connects) — the measured wire conventions.
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- [Choosing an adapter](/docs/choosing-an-adapter) — the full runtime matrix and its cause analysis.

‎apps/website/content/docs/runtimes/aws-strands/quickstart.mdx‎

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---
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title: Quickstart
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description: Run the AWS Strands runtime example locally, backend and Angular app, on ports 5331 and 4331.
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---
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# AWS Strands Quickstart
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This runs the example from a clone of the [monorepo](https://github.com/cacheplane/angular-agent-framework). The backend is a uvicorn process on port 5331; the Angular dev server is on port 4331 and proxies `/agent` to it.
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<Callout type="info" title="Prerequisites">
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Node.js 20 or newer, Python 3.11 or newer, [`uv`](https://docs.astral.sh/uv/), and an OpenAI API key. No AWS account and no AWS credentials are required.
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</Callout>
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<Steps>
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<Step title="Install workspace dependencies">
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```bash
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git clone https://github.com/cacheplane/angular-agent-framework.git
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cd angular-agent-framework
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npm ci
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```
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</Step>
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<Step title="Configure the backend environment">
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Copy the example file and fill in a real key.
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```bash
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cp cockpit/runtimes/aws-strands/python/.env.example \
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cockpit/runtimes/aws-strands/python/.env
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```
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| Variable | Required | Purpose |
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|---|---|---|
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| `OPENAI_API_KEY` | Yes | Strands' native OpenAI provider. |
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| `OPENAI_CHAT_MODEL` | No | Model name. Defaults to `gpt-4o-mini`. |
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| `OPENAI_BASE_URL` | No | Redirects the OpenAI client. The end-to-end fixture harness sets this to replay recorded calls. |
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| `OTEL_SDK_DISABLED` | No | Already set to `true` in `src/agent.py`. Strands wires OpenTelemetry unconditionally and logs exporter noise without a collector. |
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| `OTEL_PYTHON_DISABLED_INSTRUMENTATIONS` | No | Same reason, set to `all` by default. |
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</Step>
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<Step title="Start both halves">
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One command starts the Python backend and the Angular dev server together.
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```bash
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npx tsx apps/cockpit/scripts/serve-example.ts --capability=rt-strands
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```
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The script runs `uv sync` in `cockpit/runtimes/aws-strands/python` on the way, so the first start takes longer than later ones.
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</Step>
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<Step title="Open the app">
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Visit `http://localhost:4331`. The backend answers on `http://localhost:5331/agent`, with an unauthenticated health check at `http://localhost:5331/ok`.
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</Step>
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<Step title="Exercise every surface">
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Three prompts cover the measured surfaces in order.
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1. *"What is my availability on Thursday?"* — streams a message and calls `check_availability`, which mirrors its result into shared state.
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2. *"Book the 2pm slot to talk about the roadmap."* — calls `book_meeting`, which parks in an interrupt and renders an approval card.
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3. Approve or decline the card — the run resumes and the agent confirms the outcome.
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</Step>
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</Steps>
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## About the bridge pin
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`pyproject.toml` pins `ag-ui-strands` to a git reference of the [`ag-ui-protocol/ag-ui`](https://github.com/ag-ui-protocol/ag-ui) repository, subdirectory `integrations/aws-strands/python`, through `[tool.uv.sources]`. The exported requirements file carries the matching `git+https://...#subdirectory=...` line.
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The published PyPI release, `ag-ui-strands` 0.3.0, is stale: it predates the interrupt and resume contract this example depends on, and it crashes on multi-agent routes. Installing from PyPI instead of the pin will not reproduce the behavior documented here.
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## Next steps
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- [How It Connects](/docs/runtimes/aws-strands/how-it-connects) — the wire conventions this example relies on.
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- [Overview](/docs/runtimes/aws-strands/overview) — what the integration does and does not support.

‎apps/website/content/docs/runtimes/getting-started/introduction.mdx‎

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---
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title: Introduction
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description: Measured AG-UI runtime support for AWS Strands, Microsoft Agent Framework, and Mastra behind one Angular adapter.
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---
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# Introduction
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`@threadplane/ag-ui` is protocol-first: it consumes the [AG-UI](https://github.com/ag-ui-protocol/ag-ui) event vocabulary rather than any one runtime's SDK. That makes "any AG-UI backend plugs in" a claim that can be tested instead of asserted.
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This section documents what happened when it was tested. On 2026-08-31 the adapter was run against three runtimes that have nothing to do with LangGraph, in two languages, with no adapter changes for messages, tool calls, or state. Each runtime has a standalone Angular example, a real backend, and a committed transcript of its wire traffic.
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<Callout type="info" title="What this section is not">
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These pages document runtimes as *backends measured against the adapter*. They are not a substitute for each vendor's own documentation, and Threadplane does not maintain any of the upstream AG-UI bridges described here.
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</Callout>
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## The runtimes
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<CardGroup>
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<Card title="AWS Strands" href="/docs/runtimes/aws-strands/overview">
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Python. Messages, tool calls, and interrupts work. Shared state is snapshot-only and opt-in per tool.
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</Card>
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<Card title="Microsoft Agent Framework" href="/docs/runtimes/microsoft-agent-framework/overview">
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Python. Messages, tool calls, state, and interrupts all work. Azure OpenAI by default.
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</Card>
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<Card title="Mastra" href="/docs/runtimes/mastra/overview">
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TypeScript. Messages, tool calls, state, and interrupts all work, against a hand-written Node hosting service.
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</Card>
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</CardGroup>
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## Measured support
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| Runtime | Messages | Tool calls | State | Interrupts | Subagents |
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|---|---|---|---|---|---|
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| **LangGraph** (via the AG-UI bridge) | Yes | Yes | Yes | Yes | Yes |
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| **AWS Strands** (Python) | Yes | Yes | Partial | Yes | No |
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| **Microsoft Agent Framework** (Python) | Yes | Yes | Yes | Yes | No |
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| **Mastra** (TypeScript) | Yes | Yes | Yes | Yes | No |
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Every gap in that table is caused by an upstream integration, not by the AG-UI protocol and not by a defect in `@threadplane/ag-ui`. The full cause analysis, including the two adapter defects that were found and fixed, lives in [Choosing an adapter](/docs/choosing-an-adapter).
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## What is the same everywhere
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The Angular side does not change between these three runtimes. Each example uses the same provider call and the same component body:
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```ts
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// app.config.ts
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import { ApplicationConfig } from '@angular/core';
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import { provideAgent } from '@threadplane/ag-ui';
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import { provideChat } from '@threadplane/chat';
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export const appConfig: ApplicationConfig = {
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providers: [
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provideAgent({ url: '/agent' }),
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provideChat({}),
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],
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};
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```
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```ts
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import { Component } from '@angular/core';
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import { ChatComponent } from '@threadplane/chat';
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import { injectAgent } from '@threadplane/ag-ui';
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@Component({
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selector: 'app-root',
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imports: [ChatComponent],
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template: `<chat [agent]="agent" />`,
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})
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export class App {
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protected readonly agent = injectAgent();
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}
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```
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What changes is the backend, its hosting lane, and the wire conventions it happens to use. The **How It Connects** page for each runtime records those conventions as they were measured.
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## What is different everywhere
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Three differences turned up repeatedly, and each runtime page returns to them.
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**Interrupts arrive by two different conventions.** AWS Strands and Microsoft Agent Framework signal an interrupt only through the protocol-standard `RUN_FINISHED` outcome. The LangGraph bridge signals it only through a `CUSTOM` event named `on_interrupt`. Mastra emits both. The adapter accepts either, and within a single run the first signal wins.
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**Resume payloads are not portable.** The adapter derives the wire shape from how the interrupt arrived, so application code passes one neutral `submit({ resume })` regardless of runtime.
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**Subagents are unavailable on every third-party runtime.** The three runtimes model delegation in three different ways, and none of them emits the dedicated `SUBAGENT_*` events that `@ag-ui/core` has carried since 0.0.59. Treat server-declared subagents as a capability of LangGraph and of backends you control.
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## Further reading
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- [Choosing an adapter](/docs/choosing-an-adapter) — the full measured matrix, cause-by-cause.
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- [AG-UI adapter introduction](/docs/ag-ui/getting-started/introduction) — the adapter these runtimes bind through.
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- [What changes when the runtime changes](/blog/what-changes-when-the-runtime-changes) — the argument for measuring portability.
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- [We measured the runtime swap](/blog/we-measured-the-runtime-swap) — the results write-up.
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- [`libs/ag-ui/fixtures/runtime-transcripts/`](https://github.com/cacheplane/angular-agent-framework/tree/main/libs/ag-ui/fixtures/runtime-transcripts) — the captured Server-Sent Events, verbatim from the wire.

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