azure-ai-agentserver-invocations
Invocations protocol for Azure AI Hosted Agents
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained (release 4 days old), has zero known vulnerabilities, uses a permissive MIT license, and requires only two runtime dependencies with low install friction. It is marked Production/Stable and supports Python 3.10, 3.11, 3.12, 3.13, and 3.14. Install it if you are building an Azure AI Hosted Agent container and need standard invocation protocol endpoints.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with two runtime dependencies (azure-ai-agentserver-core and aiohttp).
- Actively maintained with a release 4 days old and recent commits; marked Production/Stable.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-10 (4 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 639,934 downloads/mo, #5,614 on PyPI
Alternatives
Verify before relying
pip install azure-ai-agentserver-invocations
from azure.ai.agentserver.invocations import InvocationAgentServerHost
app = InvocationAgentServerHost()
@app.invoke_handler
async def handle(request):
data = await request.json()
return {"result": data}
app.run()- Whether the package is suitable for production workloads beyond the stated Azure AI Hosted Agent container use case.
- Performance characteristics under high concurrency or large message volumes on WebSocket connections.
- Specific behavior and guarantees of the distributed tracing integration with GenAI semantic conventions.
What it is and what it does
This package extends the azure-ai-agentserver-core framework with a complete invocation protocol implementation for Azure AI Hosted Agent containers. It exposes HTTP endpoints (POST /invocations, GET /invocations/{id}, POST /invocations/{id}/cancel) and a WebSocket endpoint (/invocations_ws) for full-duplex streaming, along with OpenAPI and AsyncAPI documentation endpoints. Handlers are registered via decorators (@app.invoke_handler, @app.get_invocation_handler, @app.cancel_invocation_handler, @app.ws_handler) and receive request context including invocation ID, session ID, user ID, and call ID through request.state.
The package manages request/response headers automatically (x-agent-invocation-id, x-agent-session-id) and integrates with distributed tracing. It supports long-running operations with polling, streaming responses, and multi-user sessions on container protocol 2.0.0 by forwarding per-request call IDs to downstream services. Built on aiohttp, it runs as an async application with minimal boilerplate.
Use it for
- Build an agent that processes POST /invocations requests and returns JSON responses.
- Implement long-running agent operations with polling via GET /invocations/{id} and cancellation.
- Stream agent responses as Server-Sent Events or full-duplex WebSocket messages to clients.
- Handle multi-user sessions by forwarding x-agent-foundry-call-id headers to toolbox services.
- Expose OpenAPI and AsyncAPI documentation for agent discovery and client code generation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained (release 4 days old), has zero known vulnerabilities, uses a permissive MIT license, and requires only two runtime dependencies with low install friction. It is marked Production/Stable and supports Python 3.10, 3.11, 3.12, 3.13, and 3.14. Install it if you are building an Azure AI Hosted Agent container and need standard invocation protocol endpoints.
Install
azure-ai-agentserver-invocations on PyPI
Before you install
Low install friction with two runtime dependencies (azure-ai-agentserver-core and aiohttp). Actively maintained with a release 4 days old and recent commits; marked Production/Stable.
Requires Python 3.10 or later.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install azure-ai-agentserver-invocations
from azure.ai.agentserver.invocations import InvocationAgentServerHost
app = InvocationAgentServerHost()
@app.invoke_handler
async def handle(request):
data = await request.json()
return {"result": data}
app.run()Verify before relying
- Whether the package is suitable for production workloads beyond the stated Azure AI Hosted Agent container use case.
- Performance characteristics under high concurrency or large message volumes on WebSocket connections.
- Specific behavior and guarantees of the distributed tracing integration with GenAI semantic conventions.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesazure-ai-agentserver-coreaiohttp |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 639,934 / month, #5,614 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: azure_ai_agentserver_invocations-1.0.0-py3-none-any.whl
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See also azure-ai-agentserver-core · azure-ai-agentserver-responses · azure-ai-agentserver-agentframework · agent-framework-azure-ai · agent-framework-foundry-hosting · openhands-agent-server · azure-ai-projects · agent-framework-foundry · agent-framework-azurefunctions · azure-ai-agents