* Fix agent_with_hosted_mcp sample to use AzureOpenAIResponsesClient (#4861) The agent_with_hosted_mcp sample used AzureOpenAIChatClient with an MCP tool dict, but the Chat Completions API only supports 'function' and 'custom' tool types, not 'mcp'. This caused a 400 error at runtime. Switch the sample to AzureOpenAIResponsesClient which natively supports MCP tools via the Responses API. Use get_mcp_tool() to construct the tool config. Changes: - main.py: Replace AzureOpenAIChatClient with AzureOpenAIResponsesClient - requirements.txt: Update azure-ai-agentserver-agentframework to 1.0.0b16 and use agent-framework-azure-ai package - agent.yaml: Use AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME env var - Add regression test documenting chat client MCP tool passthrough behavior Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Fix agent_with_hosted_mcp sample to use Responses API client for MCP tools Fixes #4861 * Remove REPRODUCTION_REPORT.md investigation artifact (#4861) Remove the reproduction report markdown file from the test directory. Investigation notes belong in the GitHub issue or PR description, not as committed files in the source tree. The regression test in test_openai_chat_client.py already provides automated verification. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add MCP tool API rejection regression test (#4861) Add test_mcp_tool_dict_causes_api_rejection to verify that MCP tool dicts passed through to the Chat Completions API result in a clear ChatClientException rather than being silently dropped. This completes the regression test coverage requested in code review. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * small fix * Revert deletion of dotnet local.settings.json files Restore the two local.settings.json files that were accidentally deleted in this PR. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <copilot@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 |
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_first_workflow.py — Build a workflow with executors and edges
- 06_host_your_agent.py — Host your agent via Azure Functions
Prerequisites
pip install agent-framework --pre
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 | env var | example value |
|---|---|---|---|
agent-framework-anthropic |
AnthropicClient |
ANTHROPIC_API_KEY |
sk-ant-api03-... |
agent-framework-anthropic |
AnthropicClient |
ANTHROPIC_CHAT_MODEL_ID |
claude-sonnet-4-5-20250929 |
agent-framework-azure-ai |
AzureAIInferenceEmbeddingClient |
AZURE_AI_INFERENCE_ENDPOINT |
https://my-endpoint.inference.ai.azure.com |
agent-framework-azure-ai |
AzureAIInferenceEmbeddingClient |
AZURE_AI_INFERENCE_API_KEY |
env-key |
agent-framework-azure-ai |
AzureAIInferenceEmbeddingClient |
AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID |
text-embedding-3-small |
agent-framework-azure-ai |
AzureAIInferenceEmbeddingClient |
AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID |
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_ID |
anthropic.claude-3-5-sonnet-20241022-v2:0 |
agent-framework-bedrock |
BedrockEmbeddingClient |
BEDROCK_REGION |
us-east-1 |
agent-framework-bedrock |
BedrockEmbeddingClient |
BEDROCK_EMBEDDING_MODEL_ID |
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 |
enable_instrumentation() |
ENABLE_INSTRUMENTATION |
true |
agent-framework-core |
enable_instrumentation() |
ENABLE_SENSITIVE_DATA |
false |
agent-framework-core |
enable_instrumentation() |
ENABLE_CONSOLE_EXPORTERS |
true |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_ENDPOINT |
http://localhost:4317 |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT |
http://localhost:4318/v1/traces |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_METRICS_ENDPOINT |
http://localhost:4318/v1/metrics |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_LOGS_ENDPOINT |
http://localhost:4318/v1/logs |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_PROTOCOL |
grpc |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_HEADERS |
api-key=demo |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_TRACES_HEADERS |
api-key=trace-demo |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_METRICS_HEADERS |
api-key=metric-demo |
agent-framework-core |
enable_instrumentation() |
OTEL_EXPORTER_OTLP_LOGS_HEADERS |
api-key=log-demo |
agent-framework-core |
enable_instrumentation() |
OTEL_SERVICE_NAME |
sample-agent |
agent-framework-core |
enable_instrumentation() |
OTEL_SERVICE_VERSION |
1.0.0 |
agent-framework-core |
enable_instrumentation() |
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_ID |
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_RESPONSES_MODEL |
gpt-4.1-mini |
agent-framework-openai |
OpenAIChatCompletionClient |
OPENAI_CHAT_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_DEPLOYMENT_NAME |
gpt-4o |
agent-framework-openai |
OpenAIChatClient |
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME |
gpt-4.1 |
agent-framework-openai |
OpenAIChatCompletionClient |
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME |
gpt-4o-mini |
agent-framework-openai |
OpenAIEmbeddingClient |
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME |
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