* Add Python hosting protocol helper surface Introduce AgentFrameworkState and SessionStore for app-owned hosting routes, add Responses run conversion/rendering helpers, and update the local Responses sample to use native FastAPI routing with streaming support. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix CI failures, session continuity, and streaming model reporting - Fix constrained TargetT TypeVar in AgentFrameworkState: split __init__ into per-shape overloads (instance/sync factory/async factory/awaitable) since a bound TypeVar combined with one big Callable/Awaitable union parameter was unsolvable across pyright/pyrefly/ty/zuban. - Fix _FakeAgent test fixtures to structurally satisfy SupportsAgentRun (matching attribute types and overloaded run()), which the above surfaced. - Add SessionStore.put() to alias an additional session id to an already-resolved session, and use it in the local_responses sample to fix a real session-continuity bug: previous_response_id rotates every turn, so without aliasing the newly minted response id, turn 3+ of a conversation silently lost all prior history. Verified against a live Foundry model across a 3-turn conversation. - Fix responses_stream_events_from_run to report the real model instead of the "agent" fallback: AgentResponse.from_updates never carries a raw representation forward, so capture model from the individual streamed updates' raw representations instead. Verified live. - Add response_model=None to the sample's FastAPI route (it could not boot at all: FastAPI tried to build a Pydantic response model from the JSONResponse | StreamingResponse return annotation). - Map responses_to_run's ValueError to HTTP 400 instead of a 500. - Add HTTP round-trip integration tests (packages/hosting-responses) that exercise the same FastAPI + AgentFrameworkState + Responses helper wiring as the sample via httpx.ASGITransport, including a regression test for the session-continuity fix. - Add Workflow-target test coverage, SessionStore.put/reset_session tests, and TypeError-path coverage to packages/hosting/tests/hosting/test_state.py. - Extend call_server.py / call_server_af.py to a third conversation turn so they actually exercise the continuity chain (previous scripts stopped at turn 2, which would never have revealed the bug above). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify session-continuity aliasing: fold put() into get() Per feedback: the growth of SessionStore was not the problem -- it's intentional, since OpenAI's previous_response_id is designed to let a caller continue (fork) from any earlier response, not just the latest one, so every response id has to stay independently resolvable. That part stays as-is. What was too complex was the call site: routes had to manually fetch a session and then conditionally alias it with a separate put() call. Folded that into a single get(session_id, alias=...) call instead: - SessionStore.get() gains an optional `alias` keyword that registers an additional id for the same session in the same call (no-op if alias is None or equal to session_id). Removed the separate put() method. - AgentFrameworkState.get_session() passes `alias` through. - local_responses sample and the HTTP round-trip integration tests now do `await state.get_session(lookup_id, alias=response_id)` instead of pulling the store out and orchestrating get()/put() by hand. - Documented that this in-memory SessionStore intentionally never evicts (by design, to support forking), and that a storage-backed replacement (Redis, a database, ...) is responsible for its own TTL/eviction policy. Verified against a live Foundry model across a 3-turn previous_response_id chain after the simplification. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Refine hosting state helpers Split the shared state surface into AgentState and WorkflowState, keep SessionStore and CheckpointStore as plain storage, and make state helpers responsible for get-or-create behavior. Update the Responses sample and HTTP round-trip tests to store the post-run session explicitly under the minted response id, and support WorkflowBuilder/orchestration-style builders via structural build() support. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix hosting state test protocol fakes Widen fake agents' get_session service_session_id parameter to match the SupportsAgentRun protocol under the Python 3.11 test typing checkers. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify Responses stream helper naming Rename responses_stream_events_from_run to responses_stream_from_run across exports, tests, docs, and the local Responses sample to align with the generic <protocol>_stream_from_run helper convention. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add state-level storage setters Add AgentState.set_session and WorkflowState.set_checkpoint_storage so app code can pair get-or-create helpers with explicit post-run storage without reaching into the underlying stores. Update Responses docs, tests, and sample to use state.set_session. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify WorkflowState checkpoint handling Remove CheckpointStore from WorkflowState so workflow checkpointing uses the existing CheckpointStorage abstraction directly. Keep WorkflowState focused on resolving workflow targets, including builders, and update hosting docs/tests accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename Responses streaming run helper Rename responses_stream_from_run to responses_from_streaming_run across the hosting-responses exports, tests, docs, and local Responses sample. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Align Python hosting spec with protocol helpers Rewrite SPEC-002 to match the accepted helper-first hosting ADR and the implementation PR: AgentState, WorkflowState, SessionStore, Responses helpers, app-owned security/state responsibilities, and the minimal FastAPI Responses shape. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove old Python hosting channel implementation Remove the unreleased AgentFrameworkHost/channel implementation, the old hosting-telegram package, and old host/channel samples. Keep agent-framework-hosting focused on AgentState, WorkflowState, and SessionStore, and keep hosting-responses focused on helper-first Responses conversion. Update SPEC-002 to match the accepted helper-first ADR and the implementation surface. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore helper-first workflow sample Rebuild the local Responses workflow sample on the protocol-helper surface, add production-readiness cautions to the local hosting samples, and align file-backed workflow checkpoint/cursor storage under one sample storage root. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address hosting helper review feedback Handle streaming failures as terminal Responses SSE events, guard concurrent target/session initialization, and scope workflow sample checkpoint storage per continuation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify Responses sample continuation behavior Document unknown conversation_id behavior in the agent sample and make the workflow sample explicitly reject conversation_id while continuing to use responses_session_id for previous_response_id. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Clarify Responses sample option policy Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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:
- 01_hello_agent.py — Create and run your first agent
- 02_add_tools.py — Add function tools with
@tool - 03_multi_turn.py — Multi-turn conversations with
AgentSession - 04_memory.py — Agent memory with
ContextProvider - 05_functional_workflow_with_agents.py — Call agents inside a functional workflow
- 06_functional_workflow_basics.py — Write a workflow as a plain async function
- 07_first_graph_workflow.py — Build a workflow with executors and edges
- 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):
- Copy
.env.exampleto.envin thepython/directory:cp .env.example .env - Edit
.envand 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:
- Explicit Azure inputs such as
credential,azure_endpoint, orapi_version OPENAI_API_KEY/ explicit OpenAI API-key parameters- Azure environment fallback such as
AZURE_OPENAI_ENDPOINTandAZURE_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
- Agent Framework Documentation
- AGENTS.md — Structure documentation for maintainers
- SAMPLE_GUIDELINES.md — Coding conventions for samples