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agent-framework/python/samples
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Eduard van Valkenburg 6b822853eb Python: add hosting Channels sample apps (#5645) 
* samples(hosting): add hosting Channels sample apps under samples/04-hosting/af-hosting

Adds five end-to-end sample apps under
``python/samples/04-hosting/af-hosting/`` that exercise the
``agent-framework-hosting`` Channels stack from the simplest single-channel
case up to a multi-channel deployment with cross-channel identity linking.

Samples (ordered by complexity)
-------------------------------

* ``foundry_hosted_agent/`` — minimal Responses + Invocations host with a
  Foundry-backed agent and ``FoundryHostedAgentHistoryProvider``.
  ``agd``-deployable; bundles a ``Dockerfile`` and
  ``scripts/vendor-packages.sh`` that copies workspace packages into
  ``_vendor/`` for self-contained builds. ``_vendor/`` is gitignored.
* ``local_responses/`` — single-channel Responses host with a
  ``run_hook`` that strips caller-supplied options and forces a
  reasoning preset. Demonstrates the hook seam over the uniform
  ``ChannelRequest`` envelope.
* ``local_responses_workflow/`` — Responses + Invocations exposing a
  three-agent workflow with per-conversation checkpoint storage.
* ``local_telegram/`` — Responses + Telegram with a ``@tool``,
  ``FileHistoryProvider``, hooks, and a ``ResponseTarget`` multicast
  variant (``call_server_multicast.py``) that pushes a single Responses
  reply to a separate Telegram chat.
* ``local_identity_link/`` — full surface: Responses + Invocations +
  Telegram + Activity Protocol (Teams) + the ``EntraIdentityLinkChannel``
  sidecar. Resolves per-channel ids onto a single Entra object id so a
  user's history follows them across surfaces.

Notes
-----

* Samples that use Telegram/Teams via Activity Protocol depend on the
  renamed ``agent-framework-hosting-activity-protocol`` package (see the
  PR-5 series).
* All samples use ``[tool.uv.sources]`` editable workspace deps, except
  ``foundry_hosted_agent/`` which uses the ``./_vendor/`` self-contained
  layout for ``azd`` Docker builds.
* Each sample includes a ``README.md`` with run instructions and an
  ``app.py`` ASGI entrypoint plus a ``call_server.py`` client harness.

Depends on the prior hosting PRs (foundry-hosted-agent refactor +
hosting-core + the per-channel packages). After those merge, this
branch can be rebased onto ``main`` cleanly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* samples(hosting): point sample deps at the feature/python-hosting GitHub branch

Switches every sample's ``[tool.uv.sources]`` from in-monorepo
editable path deps (which only resolve when running inside the
agent-framework workspace) to git refs targeting the
``feature/python-hosting`` branch on
``microsoft/agent-framework``. Samples now install standalone outside
the monorepo while the ``agent-framework-hosting*`` packages are still
pre-PyPI; once they publish, the ``[tool.uv.sources]`` block can be
dropped and the declared deps resolve from PyPI.

Cleanup
-------

* Drops ``foundry_hosted_agent/scripts/vendor-packages.sh``,
  ``_vendor/`` from ``.gitignore``, the ``hooks.prepackage`` block in
  ``azure.yaml`` and the ``COPY _vendor/`` step in the Dockerfile —
  vendoring is no longer needed because git refs make the deps
  network-resolvable from any context.
* Drops obsolete ``workspace.pyproject.toml`` reference and ``scripts/``
  / ``workspace.pyproject.toml`` entries from
  ``Dockerfile.dockerignore``.
* Updates the foundry sample's Dockerfile to ``uv sync --no-dev``
  (no ``--frozen``) so it locks fresh against the GitHub-hosted deps
  at build time.
* Drops every committed ``uv.lock`` because the resolver needs network
  access to ``feature/python-hosting`` to lock — they regenerate the
  first time a user runs ``uv sync`` after the branch lands.
* Refreshes the per-sample READMEs to mention the GitHub install path
  instead of "in-tree workspace packages".

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* samples(hosting): address PR #5645 review comments

- foundry_hosted_agent/call_server.py: replace hard-coded
  project_endpoint and service_session_id with FOUNDRY_PROJECT_ENDPOINT,
  FOUNDRY_HOSTED_AGENT_NAME, and optional FOUNDRY_HOSTED_SESSION_ID
  environment variables. Session-id is now optional so the sample
  exercises the new-conversation path by default.

- local_identity_link/app.py:
  * make_telegram_hook: apply the reasoning bump regardless of
    identity-link state (the previous early-return on linked chats
    silently dropped the high-effort preset for the very flow the
    sample exists to demonstrate).
  * make_responses_hook: add a prominent DEV-ONLY warning that the
    client-supplied entra_oid shortcut bypasses identity verification
    and must be replaced by a JWT validator in production.
  * /link command: early-return when chat_id is missing instead of
    minting an authorize URL keyed on "telegram:None" (which would
    poison the link store with a binding any future chat_id-less
    update would collapse onto).
  * Switch ENTRA_CERT_PATH / ENTRA_CERT_PASSWORD env vars to the
    longer ENTRA_CERTIFICATE_PATH / ENTRA_CERTIFICATE_PASSWORD names
    that the README already documents.
  * channels: Sequence[Channel] -> list[Channel] (the next line
    appends, which a Sequence type doesn't expose).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* chore(hosting-samples): apply sample formatting

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(hosting-samples): guard command input text

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
6b822853eb · 2026-05-28 14:57:46 +02:00
History
..
01-get-started
Python: Add requirements.txt and .env.example to the a2a/ sample for pip-based setup (#5510)
2026-04-27 22:22:07 +00:00
02-agents
Python: Shell tool with support for local and Docker (#5664)
2026-05-22 00:29:59 +00:00
03-workflows
[BREAKING] Python: Enable instrumentation by default (#5865)
2026-05-20 11:52:08 +00:00
04-hosting
Python: add hosting Channels sample apps (#5645)
2026-05-28 14:57:46 +02:00
05-end-to-end
Python: Update package dependencies (#5555)
2026-04-29 06:18:03 +00:00
autogen-migration
Fix handoff workflow context management and improve AG-UI demo (#5136)
2026-04-08 04:08:24 +00:00
semantic-kernel-migration
Python: Improve the handling of intermediate outputs for workflows and orchestrations (#5623)
2026-05-19 00:15:25 +00:00
shared
Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
2026-02-25 17:45:08 +00:00
__init__.py
Python telemetry (#223)
2025-07-28 07:33:42 +00:00
AGENTS.md
Python: [BREAKING] update to v1.0.0 (#5062)
2026-04-02 15:26:30 +00:00
README.md
[BREAKING] Python: Enable instrumentation by default (#5865)
2026-05-20 11:52:08 +00:00
SAMPLE_GUIDELINES.md
Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
2026-03-25 09:56:29 +00:00

README.md

Python Samples

This directory contains samples demonstrating the capabilities of Microsoft Agent Framework for Python.

Structure

Folder Description
01-get-started/ Progressive tutorial: hello agent → hosting
02-agents/ Deep-dive by concept: tools, middleware, providers, orchestrations
03-workflows/ Workflow patterns: sequential, concurrent, state, declarative, explicit output designation
04-hosting/ Deployment: Azure Functions, Durable Tasks, A2A
05-end-to-end/ Full applications, evaluation, demos

Getting Started

Start with 01-get-started/ and work through the numbered files:

  1. 01_hello_agent.py — Create and run your first agent
  2. 02_add_tools.py — Add function tools with @tool
  3. 03_multi_turn.py — Multi-turn conversations with AgentSession
  4. 04_memory.py — Agent memory with ContextProvider
  5. 05_functional_workflow_with_agents.py — Call agents inside a functional workflow
  6. 06_functional_workflow_basics.py — Write a workflow as a plain async function
  7. 07_first_graph_workflow.py — Build a workflow with executors and edges
  8. 08_host_your_agent.py — Host your agent via Azure Functions

Prerequisites

pip install agent-framework

Environment Variables

Samples call load_dotenv() to automatically load environment variables from a .env file in the python/ directory. This is a convenience for local development and testing.

For local development, set up your environment using any of these methods:

Option 1: Using a .env file (recommended for local development):

  1. Copy .env.example to .env in the python/ directory: 
    cp .env.example .env
  2. Edit .env and set your values (API keys, endpoints, etc.)

Option 2: Export environment variables directly:

export FOUNDRY_PROJECT_ENDPOINT="your-foundry-project-endpoint"
export FOUNDRY_MODEL="gpt-4o"

Option 3: Using env_file_path parameter (for per-client configuration):

All client classes (e.g., OpenAIChatClient, OpenAIChatCompletionClient) support an env_file_path parameter to load environment variables from a specific file:

from agent_framework.openai import OpenAIChatClient

# Load from a custom .env file
client = OpenAIChatClient(env_file_path="path/to/custom.env")

This allows different clients to use different configuration files if needed.

For the generic OpenAI clients (OpenAIChatClient and OpenAIChatCompletionClient), routing precedence is:

  1. Explicit Azure inputs such as credential, azure_endpoint, or api_version
  2. OPENAI_API_KEY / explicit OpenAI API-key parameters
  3. Azure environment fallback such as AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY

If you keep both OpenAI and Azure variables in your shell, the generic clients stay on OpenAI until you pass an explicit Azure input.

For the getting-started samples, you'll need at minimum:

FOUNDRY_PROJECT_ENDPOINT="your-foundry-project-endpoint"
FOUNDRY_MODEL="gpt-4o"

Consolidated sample env inventory

This is the single source of truth for package-level environment variables read by packages included by agent-framework-core[all]. It intentionally excludes variables that are only read by standalone samples, package sample folders, or tests. When package code adds, removes, or renames an environment variable, update this table in the same change.

Example values below are illustrative. For entries not backed by a single public class, the class column names the closest public surface, helper, or package-level initialization point that reads the variable.

package class/module env var example value
agent-framework-anthropic AnthropicClient ANTHROPIC_API_KEY sk-ant-api03-...
agent-framework-anthropic AnthropicClient ANTHROPIC_CHAT_MODEL claude-sonnet-4-5-20250929
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_MODELS_ENDPOINT https://my-endpoint.inference.ai.azure.com
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_MODELS_API_KEY env-key
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_EMBEDDING_MODEL text-embedding-3-small
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_IMAGE_EMBEDDING_MODEL Cohere-embed-v3-english
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_ENDPOINT https://my-search.search.windows.net
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_API_KEY search-key
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_INDEX_NAME hotels-index
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_KNOWLEDGE_BASE_NAME hotels-kb
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_ENDPOINT https://my-cosmos.documents.azure.com:443/
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_DATABASE_NAME agent-history
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_CONTAINER_NAME messages
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_KEY C2F...==
agent-framework-bedrock BedrockChatClient BEDROCK_REGION us-east-1
agent-framework-bedrock BedrockChatClient BEDROCK_CHAT_MODEL anthropic.claude-3-5-sonnet-20241022-v2:0
agent-framework-bedrock BedrockEmbeddingClient BEDROCK_REGION us-east-1
agent-framework-bedrock BedrockEmbeddingClient BEDROCK_EMBEDDING_MODEL amazon.titan-embed-text-v2:0
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_ACCESS_KEY_ID AKIAIOSFODNN7EXAMPLE
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_SECRET_ACCESS_KEY wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_SESSION_TOKEN IQoJb3JpZ2luX2VjEO7//////////wEaCXVzLXdlc3QtMiJHMEUCIQD...
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__ENVIRONMENTID 00000000-0000-0000-0000-000000000000
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__SCHEMANAME cr123_agentname
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__TENANTID 11111111-1111-1111-1111-111111111111
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__AGENTAPPID 22222222-2222-2222-2222-222222222222
agent-framework-core observability ENABLE_INSTRUMENTATION true
agent-framework-core observability ENABLE_SENSITIVE_DATA false
agent-framework-core observability ENABLE_CONSOLE_EXPORTERS true
agent-framework-core observability OTEL_EXPORTER_OTLP_ENDPOINT http://localhost:4317
agent-framework-core observability OTEL_EXPORTER_OTLP_TRACES_ENDPOINT http://localhost:4318/v1/traces
agent-framework-core observability OTEL_EXPORTER_OTLP_METRICS_ENDPOINT http://localhost:4318/v1/metrics
agent-framework-core observability OTEL_EXPORTER_OTLP_LOGS_ENDPOINT http://localhost:4318/v1/logs
agent-framework-core observability OTEL_EXPORTER_OTLP_PROTOCOL grpc
agent-framework-core observability OTEL_EXPORTER_OTLP_HEADERS api-key=demo
agent-framework-core observability OTEL_EXPORTER_OTLP_TRACES_HEADERS api-key=trace-demo
agent-framework-core observability OTEL_EXPORTER_OTLP_METRICS_HEADERS api-key=metric-demo
agent-framework-core observability OTEL_EXPORTER_OTLP_LOGS_HEADERS api-key=log-demo
agent-framework-core observability OTEL_SERVICE_NAME sample-agent
agent-framework-core observability OTEL_SERVICE_VERSION 1.0.0
agent-framework-core observability OTEL_RESOURCE_ATTRIBUTES deployment.environment=dev,service.namespace=agent-framework
agent-framework-devui DevUI server DEVUI_AUTH_TOKEN my-devui-token
agent-framework-foundry FoundryChatClient FOUNDRY_PROJECT_ENDPOINT https://my-project.services.ai.azure.com/api/projects/my-project
agent-framework-foundry FoundryChatClient FOUNDRY_MODEL gpt-4o
agent-framework-foundry FoundryAgent FOUNDRY_AGENT_NAME travel-planner
agent-framework-foundry FoundryAgent FOUNDRY_AGENT_VERSION v1
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_CLI_PATH copilot
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_MODEL gpt-5
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_TIMEOUT 60
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_LOG_LEVEL info
agent-framework-mem0 agent_framework_mem0 package import MEM0_TELEMETRY false
agent-framework-ollama OllamaChatClient OLLAMA_HOST http://localhost:11434
agent-framework-ollama OllamaChatClient OLLAMA_MODEL llama3.1:8b
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_API_KEY sk-proj-...
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_MODEL gpt-4o-mini
agent-framework-openai OpenAIChatClient OPENAI_CHAT_MODEL gpt-4.1-mini
agent-framework-openai OpenAIChatCompletionClient OPENAI_CHAT_COMPLETION_MODEL gpt-4o
agent-framework-openai OpenAIEmbeddingClient OPENAI_EMBEDDING_MODEL text-embedding-3-small
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_BASE_URL https://api.openai.com/v1/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_ORG_ID org_123456789
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_ENDPOINT https://my-resource.openai.azure.com/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_API_KEY sk-azure-...
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_API_VERSION 2024-10-21
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_BASE_URL https://my-resource.openai.azure.com/openai/v1/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_MODEL gpt-4o
agent-framework-openai OpenAIChatClient AZURE_OPENAI_CHAT_MODEL gpt-4.1
agent-framework-openai OpenAIChatCompletionClient AZURE_OPENAI_CHAT_COMPLETION_MODEL gpt-4o-mini
agent-framework-openai OpenAIEmbeddingClient AZURE_OPENAI_EMBEDDING_MODEL text-embedding-3-large
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_RESOURCE_URL https://cognitiveservices.azure.com/

agent-framework-openai supports the Azure OpenAI client-specific deployment aliases listed above; keep packages/openai/README.md as the authoritative reference for the exact fallback order and package-specific behavior.

Note for production: In production environments, set environment variables through your deployment platform (e.g., Azure App Settings, Kubernetes ConfigMaps/Secrets) rather than using .env files. The load_dotenv() call in samples will have no effect when a .env file is not present, allowing environment variables to be loaded from the system.

For Azure authentication, run az login before running samples.

Note on XML tags

Some sample files include XML-style snippet tags (for example <snippet_name> and </snippet_name>). These are used by our documentation tooling and can be ignored or removed when you use the samples outside this repository.

Additional Resources

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