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Author SHA1 Message Date
Shyju KrishnankuttyandGitHub 438edf3da1 Merge branch 'main' into shkr/workflow_return_value 2026-04-24 15:42:10 -07:00
Shyju KrishnankuttyandGitHub 65033902f6 Merge branch 'main' into shkr/workflow_return_value 2026-04-24 08:19:42 -07:00
Shyju Krishnankutty edf234aa4a Address PR review feedback.
- Return 404 Not Found when no orchestration with the given ID exists
- Return 200 OK for failed workflows (the HTTP operation succeeded;
  the workflow outcome is conveyed via the response body)
- Rename 'status' to 'workflowStatus' in WorkflowRunResponse to avoid
  inconsistency with AgentRunSuccessResponse which uses integer status
- Add optional 'error' field (omitted from JSON when null) to
  WorkflowRunResponse for failed workflow details
2026-04-21 13:35:13 -07:00
Shyju Krishnankutty 06f165425f PR comment fixes. 2026-04-17 10:04:48 -07:00
Shyju Krishnankutty f8976d3f1a update changelog. 2026-04-16 20:45:47 -07:00
Shyju Krishnankutty 61c28ebda6 Adding support for "wait for response" when invoking workflow http endpoint. 2026-04-16 18:16:20 -07:00
127 changed files with 942 additions and 2771 deletions
@@ -336,53 +336,6 @@ jobs:
path: ./python/pytest.xml
if-no-files-found: ignore
# Foundry Hosting integration tests
python-tests-foundry-hosting:
name: Python Integration Tests - Foundry Hosting
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Foundry Hosting integration)
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry_hosting/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
if-no-files-found: ignore
# Azure Cosmos integration tests
python-tests-cosmos:
name: Python Integration Tests - Cosmos
@@ -449,7 +402,6 @@ jobs:
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
]
runs-on: ubuntu-latest
@@ -513,7 +465,6 @@ jobs:
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos
]
steps:
-66
View File
@@ -38,7 +38,6 @@ jobs:
miscChanged: ${{ steps.filter.outputs.misc }}
functionsChanged: ${{ steps.filter.outputs.functions }}
foundryChanged: ${{ steps.filter.outputs.foundry }}
foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
steps:
- uses: actions/checkout@v6
@@ -81,8 +80,6 @@ jobs:
- 'python/packages/foundry/**'
- 'python/samples/**/providers/foundry/**'
- 'python/samples/02-agents/embeddings/foundry_embeddings.py'
foundry_hosting:
- 'python/packages/foundry_hosting/**'
cosmos:
- 'python/packages/azure-cosmos/**'
# run only if 'python' files were changed
@@ -491,67 +488,6 @@ jobs:
path: ./python/pytest.xml
if-no-files-found: ignore
# Foundry Hosting integration tests
python-tests-foundry-hosting:
name: Python Tests - Foundry Hosting Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.foundryHostingChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Foundry Hosting integration)
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry_hosting/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Foundry Hosting integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
if-no-files-found: ignore
# TODO: Add python-tests-lab
# Azure Cosmos integration tests
@@ -633,7 +569,6 @@ jobs:
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
]
runs-on: ubuntu-latest
@@ -694,7 +629,6 @@ jobs:
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
]
steps:
@@ -5,16 +5,16 @@
// This is provided for demonstration purposes only.
using System.Diagnostics;
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
/// <summary>
/// Executes file-based skill scripts as local subprocesses.
/// </summary>
/// <remarks>
/// This runner uses the script's absolute path and converts the arguments
/// to CLI arguments. When the LLM sends a JSON array, each element is used
/// as a positional argument. It is intended for demonstration purposes only.
/// This runner uses the script's absolute path, converts the arguments
/// to CLI flags, and returns captured output. It is intended for
/// demonstration purposes only.
/// </remarks>
internal static class SubprocessScriptRunner
{
@@ -24,8 +24,7 @@ internal static class SubprocessScriptRunner
public static async Task<object?> RunAsync(
AgentFileSkill skill,
AgentFileSkillScript script,
JsonElement? arguments,
IServiceProvider? serviceProvider,
AIFunctionArguments arguments,
CancellationToken cancellationToken)
{
if (!File.Exists(script.FullPath))
@@ -62,27 +61,24 @@ internal static class SubprocessScriptRunner
startInfo.FileName = script.FullPath;
}
if (arguments is { ValueKind: JsonValueKind.Array } json)
if (arguments is not null)
{
// Positional CLI arguments
foreach (var element in json.EnumerateArray())
foreach (var (key, value) in arguments)
{
if (element.ValueKind != JsonValueKind.String)
if (value is bool boolValue)
{
throw new InvalidOperationException(
$"File-based skill scripts only accept string CLI arguments but received a JSON element of kind '{element.ValueKind}'. " +
"All array elements must be JSON strings.");
if (boolValue)
{
startInfo.ArgumentList.Add(NormalizeKey(key));
}
}
else if (value is not null)
{
startInfo.ArgumentList.Add(NormalizeKey(key));
startInfo.ArgumentList.Add(value.ToString()!);
}
startInfo.ArgumentList.Add(element.GetString()!);
}
}
else if (arguments is not null && arguments.Value.ValueKind != JsonValueKind.Null && arguments.Value.ValueKind != JsonValueKind.Undefined)
{
throw new InvalidOperationException(
$"Expected a JSON array of CLI arguments but received {arguments.Value.ValueKind}. " +
"File-based skill scripts expect positional arguments as a JSON array of strings.");
}
Process? process = null;
try
@@ -132,4 +128,10 @@ internal static class SubprocessScriptRunner
process?.Dispose();
}
}
/// <summary>
/// Normalizes a parameter key to a consistent --flag format.
/// Models may return keys with or without leading dashes (e.g., "value" vs "--value").
/// </summary>
private static string NormalizeKey(string key) => "--" + key.TrimStart('-');
}
@@ -1,20 +1,6 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
<Suppressions xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.BeginInvoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken,System.AsyncCallback,System.Object)</Target>
<Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.Invoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
@@ -43,13 +29,6 @@
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -64,20 +43,6 @@
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.BeginInvoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken,System.AsyncCallback,System.Object)</Target>
<Left>lib/net472/Microsoft.Agents.AI.dll</Left>
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.Invoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net472/Microsoft.Agents.AI.dll</Left>
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
@@ -106,13 +71,6 @@
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net472/Microsoft.Agents.AI.dll</Left>
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -127,20 +85,6 @@
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.BeginInvoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken,System.AsyncCallback,System.Object)</Target>
<Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.Invoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
@@ -169,13 +113,6 @@
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -190,20 +127,6 @@
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.BeginInvoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken,System.AsyncCallback,System.Object)</Target>
<Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.Invoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
@@ -232,13 +155,6 @@
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -253,20 +169,6 @@
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.BeginInvoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken,System.AsyncCallback,System.Object)</Target>
<Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentFileSkillScriptRunner.Invoke(Microsoft.Agents.AI.AgentFileSkill,Microsoft.Agents.AI.AgentFileSkillScript,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
@@ -295,13 +197,6 @@
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,Microsoft.Extensions.AI.AIFunctionArguments,System.Threading.CancellationToken)</Target>
<Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0002</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -316,39 +211,4 @@
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0005</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,System.Nullable{System.Text.Json.JsonElement},System.IServiceProvider,System.Threading.CancellationToken)</Target>
<Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0005</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,System.Nullable{System.Text.Json.JsonElement},System.IServiceProvider,System.Threading.CancellationToken)</Target>
<Left>lib/net472/Microsoft.Agents.AI.dll</Left>
<Right>lib/net472/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0005</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,System.Nullable{System.Text.Json.JsonElement},System.IServiceProvider,System.Threading.CancellationToken)</Target>
<Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0005</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,System.Nullable{System.Text.Json.JsonElement},System.IServiceProvider,System.Threading.CancellationToken)</Target>
<Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
<Suppression>
<DiagnosticId>CP0005</DiagnosticId>
<Target>M:Microsoft.Agents.AI.AgentSkillScript.RunAsync(Microsoft.Agents.AI.AgentSkill,System.Nullable{System.Text.Json.JsonElement},System.IServiceProvider,System.Threading.CancellationToken)</Target>
<Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
<Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
<IsBaselineSuppression>true</IsBaselineSuppression>
</Suppression>
</Suppressions>
@@ -35,8 +35,7 @@ public abstract class AgentSkill
/// Gets the full skill content.
/// </summary>
/// <remarks>
/// For file-based skills this is the raw SKILL.md file content, optionally
/// augmented with a synthesized scripts block when scripts are present.
/// For file-based skills this is the raw SKILL.md file content.
/// For code-defined skills this is a synthesized XML document
/// containing name, description, and body (instructions, resources, scripts).
/// </remarks>
@@ -1,10 +1,10 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Diagnostics.CodeAnalysis;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
@@ -46,9 +46,8 @@ public abstract class AgentSkillScript
/// Runs the script with the given arguments.
/// </summary>
/// <param name="skill">The skill that owns this script.</param>
/// <param name="arguments">Raw JSON arguments for script execution, preserving the original format (object or array) sent by the caller.</param>
/// <param name="serviceProvider">Optional service provider for dependency injection.</param>
/// <param name="arguments">Arguments for script execution.</param>
/// <param name="cancellationToken">Cancellation token.</param>
/// <returns>The script execution result.</returns>
public abstract Task<object?> RunAsync(AgentSkill skill, JsonElement? arguments, IServiceProvider? serviceProvider, CancellationToken cancellationToken = default);
public abstract Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, CancellationToken cancellationToken = default);
}
@@ -6,7 +6,6 @@ using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Security;
using System.Text;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
@@ -244,7 +243,7 @@ public sealed partial class AgentSkillsProvider : AIContextProvider
}
AIFunction scriptFunction = AIFunctionFactory.Create(
(string skillName, string scriptName, JsonElement? arguments = null, IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default) =>
(string skillName, string scriptName, IDictionary<string, object?>? arguments = null, IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default) =>
this.RunSkillScriptAsync(skills, skillName, scriptName, arguments, serviceProvider, cancellationToken),
name: "run_skill_script",
description: "Runs a script associated with a skill.");
@@ -341,7 +340,7 @@ public sealed partial class AgentSkillsProvider : AIContextProvider
}
}
private async Task<object?> RunSkillScriptAsync(IList<AgentSkill> skills, string skillName, string scriptName, JsonElement? arguments = null, IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
private async Task<object?> RunSkillScriptAsync(IList<AgentSkill> skills, string skillName, string scriptName, IDictionary<string, object?>? arguments = null, IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
{
if (string.IsNullOrWhiteSpace(skillName))
{
@@ -367,7 +366,7 @@ public sealed partial class AgentSkillsProvider : AIContextProvider
try
{
return await script.RunAsync(skill, arguments, serviceProvider, cancellationToken).ConfigureAwait(false);
return await script.RunAsync(skill, new AIFunctionArguments(arguments) { Services = serviceProvider }, cancellationToken).ConfigureAwait(false);
}
catch (Exception ex)
{
@@ -15,8 +15,6 @@ public sealed class AgentFileSkill : AgentSkill
{
private readonly IReadOnlyList<AgentSkillResource> _resources;
private readonly IReadOnlyList<AgentSkillScript> _scripts;
private readonly string _originalContent;
private string? _content;
/// <summary>
/// Initializes a new instance of the <see cref="AgentFileSkill"/> class.
@@ -34,7 +32,7 @@ public sealed class AgentFileSkill : AgentSkill
IReadOnlyList<AgentSkillScript>? scripts = null)
{
this.Frontmatter = Throw.IfNull(frontmatter);
this._originalContent = Throw.IfNull(content);
this.Content = Throw.IfNull(content);
this.Path = Throw.IfNullOrWhitespace(path);
this._resources = resources ?? [];
this._scripts = scripts ?? [];
@@ -44,18 +42,7 @@ public sealed class AgentFileSkill : AgentSkill
public override AgentSkillFrontmatter Frontmatter { get; }
/// <inheritdoc/>
/// <remarks>
/// Returns the raw SKILL.md content. When the skill has scripts, a
/// <c>&lt;scripts&gt;&lt;script name="..."&gt;&lt;parameters_schema&gt;...&lt;/parameters_schema&gt;&lt;/script&gt;&lt;/scripts&gt;</c>
/// block is appended with a per-script entry describing the expected argument format.
/// The result is cached after the first access.
/// </remarks>
public override string Content
{
get => this._content ??= this._scripts is { Count: > 0 }
? this._originalContent + AgentInlineSkillContentBuilder.BuildScriptsBlock(this._scripts)
: this._originalContent;
}
public override string Content { get; }
/// <summary>
/// Gets the directory path where the skill was discovered.
@@ -2,9 +2,9 @@
using System;
using System.Diagnostics.CodeAnalysis;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
@@ -16,11 +16,6 @@ namespace Microsoft.Agents.AI;
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public sealed class AgentFileSkillScript : AgentSkillScript
{
/// <summary>
/// Cached JSON schema element describing the expected argument format: a string array of CLI arguments.
/// </summary>
private static readonly JsonElement s_defaultSchema = CreateDefaultSchema();
private readonly AgentFileSkillScriptRunner? _runner;
/// <summary>
@@ -42,14 +37,7 @@ public sealed class AgentFileSkillScript : AgentSkillScript
public string FullPath { get; }
/// <inheritdoc/>
/// <remarks>
/// Returns a fixed schema describing a string array of CLI arguments:
/// <c>{"type":"array","items":{"type":"string"}}</c>.
/// </remarks>
public override JsonElement? ParametersSchema => s_defaultSchema;
/// <inheritdoc/>
public override async Task<object?> RunAsync(AgentSkill skill, JsonElement? arguments, IServiceProvider? serviceProvider, CancellationToken cancellationToken = default)
public override async Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, CancellationToken cancellationToken = default)
{
if (skill is not AgentFileSkill fileSkill)
{
@@ -63,12 +51,6 @@ public sealed class AgentFileSkillScript : AgentSkillScript
$"Supply a script runner when constructing {nameof(AgentFileSkillsSource)} to enable script execution.");
}
return await this._runner(fileSkill, this, arguments, serviceProvider, cancellationToken).ConfigureAwait(false);
}
private static JsonElement CreateDefaultSchema()
{
using JsonDocument document = JsonDocument.Parse("""{"type":"array","items":{"type":"string"}}""");
return document.RootElement.Clone();
return await this._runner(fileSkill, this, arguments, cancellationToken).ConfigureAwait(false);
}
}
@@ -1,10 +1,9 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Diagnostics.CodeAnalysis;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
namespace Microsoft.Agents.AI;
@@ -14,19 +13,15 @@ namespace Microsoft.Agents.AI;
/// </summary>
/// <remarks>
/// Implementations determine the execution strategy (e.g., local subprocess, hosted code execution environment).
/// The <paramref name="arguments"/> parameter preserves the raw JSON sent by the caller, in the shape
/// described by <see cref="AgentFileSkillScript.ParametersSchema"/>.
/// </remarks>
/// <param name="skill">The skill that owns the script.</param>
/// <param name="script">The file-based script to run.</param>
/// <param name="arguments">Raw JSON arguments for the script, in the shape described by <see cref="AgentFileSkillScript.ParametersSchema"/>.</param>
/// <param name="serviceProvider">Optional service provider for dependency injection.</param>
/// <param name="arguments">Optional arguments for the script, provided by the agent/LLM.</param>
/// <param name="cancellationToken">Cancellation token.</param>
/// <returns>The script execution result.</returns>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public delegate Task<object?> AgentFileSkillScriptRunner(
AgentFileSkill skill,
AgentFileSkillScript script,
JsonElement? arguments,
IServiceProvider? serviceProvider,
AIFunctionArguments arguments,
CancellationToken cancellationToken);
@@ -59,56 +59,32 @@ internal static class AgentInlineSkillContentBuilder
if (scripts is { Count: > 0 })
{
sb.Append('\n');
sb.Append(BuildScriptsBlock(scripts));
}
return sb.ToString();
}
/// <summary>
/// Builds a <c>&lt;scripts&gt;...&lt;/scripts&gt;</c> XML block for the given scripts.
/// Each script is emitted as a <c>&lt;script name="..."&gt;</c> element with optional
/// <c>description</c> attribute and <c>&lt;parameters_schema&gt;</c> child element.
/// </summary>
/// <param name="scripts">The scripts to include in the block.</param>
/// <returns>An XML string starting with <c>\n&lt;scripts&gt;</c>, or an empty string if the list is empty.</returns>
public static string BuildScriptsBlock(IReadOnlyList<AgentSkillScript> scripts)
{
_ = Throw.IfNull(scripts);
if (scripts.Count == 0)
{
return string.Empty;
}
var sb = new StringBuilder();
sb.Append("\n<scripts>\n");
foreach (var script in scripts)
{
var parametersSchema = script.ParametersSchema;
if (script.Description is null && parametersSchema is null)
sb.Append("\n\n<scripts>\n");
foreach (var script in scripts)
{
sb.Append($" <script name=\"{EscapeXmlString(script.Name)}\"/>\n");
}
else
{
sb.Append(script.Description is not null
? $" <script name=\"{EscapeXmlString(script.Name)}\" description=\"{EscapeXmlString(script.Description)}\">\n"
: $" <script name=\"{EscapeXmlString(script.Name)}\">\n");
var parametersSchema = script.ParametersSchema;
if (parametersSchema is not null)
if (script.Description is null && parametersSchema is null)
{
sb.Append($" <parameters_schema>{EscapeXmlString(parametersSchema.Value.GetRawText(), preserveQuotes: true)}</parameters_schema>\n");
sb.Append($" <script name=\"{EscapeXmlString(script.Name)}\"/>\n");
}
else
{
sb.Append(script.Description is not null
? $" <script name=\"{EscapeXmlString(script.Name)}\" description=\"{EscapeXmlString(script.Description)}\">\n"
: $" <script name=\"{EscapeXmlString(script.Name)}\">\n");
sb.Append(" </script>\n");
if (parametersSchema is not null)
{
sb.Append($" <parameters_schema>{EscapeXmlString(parametersSchema.Value.GetRawText(), preserveQuotes: true)}</parameters_schema>\n");
}
sb.Append(" </script>\n");
}
}
}
sb.Append("</scripts>");
sb.Append("</scripts>");
}
return sb.ToString();
}
@@ -1,7 +1,6 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Reflection;
using System.Text.Json;
@@ -68,42 +67,8 @@ internal sealed class AgentInlineSkillScript : AgentSkillScript
public override JsonElement? ParametersSchema => this._function.JsonSchema;
/// <inheritdoc/>
public override async Task<object?> RunAsync(AgentSkill skill, JsonElement? arguments, IServiceProvider? serviceProvider, CancellationToken cancellationToken = default)
public override async Task<object?> RunAsync(AgentSkill skill, AIFunctionArguments arguments, CancellationToken cancellationToken = default)
{
var funcArgs = ConvertToFunctionArguments(arguments);
funcArgs.Services = serviceProvider;
return await this._function.InvokeAsync(funcArgs, cancellationToken).ConfigureAwait(false);
}
/// <summary>
/// Converts a raw <see cref="JsonElement"/> to <see cref="AIFunctionArguments"/> for delegate invocation.
/// </summary>
/// <exception cref="InvalidOperationException">
/// Thrown when <paramref name="arguments"/> is provided but is not a JSON object.
/// Inline skill scripts expect arguments as a JSON object whose properties map to the delegate's parameters.
/// </exception>
private static AIFunctionArguments ConvertToFunctionArguments(JsonElement? arguments)
{
if (arguments is null ||
arguments.Value.ValueKind == JsonValueKind.Null ||
arguments.Value.ValueKind == JsonValueKind.Undefined)
{
return [];
}
if (arguments.Value.ValueKind != JsonValueKind.Object)
{
throw new InvalidOperationException(
$"Inline skill scripts expect arguments as a JSON object but received a JSON element of kind '{arguments.Value.ValueKind}'.");
}
var dict = new Dictionary<string, object?>();
foreach (var property in arguments.Value.EnumerateObject())
{
dict[property.Name] = property.Value;
}
return new AIFunctionArguments(dict);
return await this._function.InvokeAsync(arguments, cancellationToken).ConfigureAwait(false);
}
}
@@ -8,6 +8,7 @@ using System.Reflection;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.DependencyInjection;
namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
@@ -127,9 +128,8 @@ public sealed class AgentClassSkillTests
// Act — script with custom type deserialization
var script = skill.Scripts![0];
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 5 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var scriptResult = await script.RunAsync(skill, args, null, CancellationToken.None);
var args = new AIFunctionArguments { ["request"] = inputJson };
var scriptResult = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.NotNull(scriptResult);
@@ -173,14 +173,12 @@ public sealed class AgentClassSkillTests
// Act & Assert — static method
var doWorkScript = skill.Scripts!.First(s => s.Name == "do-work");
using var doWorkDoc = JsonDocument.Parse("""{"input":"hello"}""");
var doWorkResult = await doWorkScript.RunAsync(skill, doWorkDoc.RootElement, null, CancellationToken.None);
var doWorkResult = await doWorkScript.RunAsync(skill, new AIFunctionArguments { ["input"] = "hello" }, CancellationToken.None);
Assert.Equal("HELLO", doWorkResult?.ToString());
// Act & Assert — instance method
var appendScript = skill.Scripts!.First(s => s.Name == "append");
using var appendDoc = JsonDocument.Parse("""{"input":"test"}""");
var appendResult = await appendScript.RunAsync(skill, appendDoc.RootElement, null, CancellationToken.None);
var appendResult = await appendScript.RunAsync(skill, new AIFunctionArguments { ["input"] = "test" }, CancellationToken.None);
Assert.Equal("test-suffix", appendResult?.ToString());
}
@@ -369,7 +367,7 @@ public sealed class AgentClassSkillTests
// Act & Assert — all scripts produce values
foreach (var script in skill.Scripts!)
{
var result = await script.RunAsync(skill, null, null, CancellationToken.None);
var result = await script.RunAsync(skill, new AIFunctionArguments(), CancellationToken.None);
Assert.NotNull(result);
}
}
@@ -384,9 +382,8 @@ public sealed class AgentClassSkillTests
// Act & Assert — script with custom JSO
var script = skill.Scripts![0];
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 3 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var scriptResult = await script.RunAsync(skill, args, null, CancellationToken.None);
var args = new AIFunctionArguments { ["request"] = inputJson };
var scriptResult = await script.RunAsync(skill, args, CancellationToken.None);
Assert.NotNull(scriptResult);
Assert.Contains("test", scriptResult!.ToString()!);
Assert.Contains("3", scriptResult!.ToString()!);
@@ -500,9 +497,8 @@ public sealed class AgentClassSkillTests
var script = skill.Scripts!.First(s => s.Name == "Lookup");
var jso = SkillTestJsonContext.Default.Options;
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "fallback", MaxResults = 7 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var args = new AIFunctionArguments { ["request"] = inputJson };
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.NotNull(result);
@@ -535,9 +531,8 @@ public sealed class AgentClassSkillTests
var script = skill.Scripts!.First(s => s.Name == "Lookup");
var jso = SkillTestJsonContext.Default.Options;
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "explicit", MaxResults = 2 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var args = new AIFunctionArguments { ["request"] = inputJson };
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.NotNull(result);
@@ -1,9 +1,9 @@
// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
@@ -16,13 +16,13 @@ public sealed class AgentFileSkillScriptTests
public async Task RunAsync_SkillIsNotAgentFileSkill_ThrowsInvalidOperationExceptionAsync()
{
// Arrange
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>("result");
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, AIFunctionArguments a, CancellationToken ct) => Task.FromResult<object?>("result");
var script = CreateScript("test-script", "/path/to/script.py", RunnerAsync);
var nonFileSkill = new TestAgentSkill("my-skill", "A skill", "Instructions.");
// Act & Assert
await Assert.ThrowsAsync<InvalidOperationException>(
() => script.RunAsync(nonFileSkill, null, null, CancellationToken.None));
() => script.RunAsync(nonFileSkill, new AIFunctionArguments(), CancellationToken.None));
}
[Fact]
@@ -30,7 +30,7 @@ public sealed class AgentFileSkillScriptTests
{
// Arrange
var runnerCalled = false;
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, JsonElement? args, IServiceProvider? sp, CancellationToken ct)
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, AIFunctionArguments args, CancellationToken ct)
{
runnerCalled = true;
return Task.FromResult<object?>("executed");
@@ -42,7 +42,7 @@ public sealed class AgentFileSkillScriptTests
"/skills/my-skill");
// Act
var result = await script.RunAsync(fileSkill, null, null, CancellationToken.None);
var result = await script.RunAsync(fileSkill, new AIFunctionArguments(), CancellationToken.None);
// Assert
Assert.True(runnerCalled);
@@ -55,7 +55,7 @@ public sealed class AgentFileSkillScriptTests
// Arrange
AgentFileSkill? capturedSkill = null;
AgentFileSkillScript? capturedScript = null;
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, JsonElement? args, IServiceProvider? sp, CancellationToken ct)
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, AIFunctionArguments args, CancellationToken ct)
{
capturedSkill = skill;
capturedScript = scriptArg;
@@ -68,7 +68,7 @@ public sealed class AgentFileSkillScriptTests
"/skills/owner-skill");
// Act
await script.RunAsync(fileSkill, null, null, CancellationToken.None);
await script.RunAsync(fileSkill, new AIFunctionArguments(), CancellationToken.None);
// Assert
Assert.Same(fileSkill, capturedSkill);
@@ -79,7 +79,7 @@ public sealed class AgentFileSkillScriptTests
public void Script_HasCorrectNameAndPath()
{
// Arrange & Act
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>(null);
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, AIFunctionArguments a, CancellationToken ct) => Task.FromResult<object?>(null);
var script = CreateScript("my-script", "/path/to/my-script.py", RunnerAsync);
// Assert
@@ -87,173 +87,10 @@ public sealed class AgentFileSkillScriptTests
Assert.Equal("/path/to/my-script.py", script.FullPath);
}
[Fact]
public void ParametersSchema_ReturnsExpectedArraySchema()
{
// Arrange
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>(null);
var script = CreateScript("my-script", "/path/to/script.py", RunnerAsync);
// Act
var schema = script.ParametersSchema;
// Assert
Assert.NotNull(schema);
var raw = schema!.Value.GetRawText();
Assert.Contains("\"type\":\"array\"", raw);
Assert.Contains("\"items\":{\"type\":\"string\"}", raw);
}
[Fact]
public void Content_WithScripts_AppendsPerScriptEntries()
{
// Arrange
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>(null);
var script1 = CreateScript("build", "/scripts/build.sh", RunnerAsync);
var script2 = CreateScript("deploy", "/scripts/deploy.sh", RunnerAsync);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Original content",
"/skills/my-skill",
scripts: [script1, script2]);
// Act
var content = fileSkill.Content;
// Assert — content starts with original and appends per-script entries
Assert.StartsWith("Original content", content);
Assert.Contains("<scripts>", content);
Assert.Contains("<script name=\"build\">", content);
Assert.Contains("<script name=\"deploy\">", content);
Assert.Contains("<parameters_schema>", content);
Assert.Contains("</scripts>", content);
}
[Fact]
public void Content_WithoutScripts_ReturnsOriginalContent()
{
// Arrange
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Original content only",
"/skills/my-skill");
// Act
var content = fileSkill.Content;
// Assert
Assert.Equal("Original content only", content);
}
[Fact]
public void Content_WithScripts_IsCached()
{
// Arrange
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>(null);
var script = CreateScript("test", "/scripts/test.sh", RunnerAsync);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Content",
"/skills/my-skill",
scripts: [script]);
// Act
var content1 = fileSkill.Content;
var content2 = fileSkill.Content;
// Assert
Assert.Same(content1, content2);
}
[Fact]
public async Task RunAsync_ForwardsJsonArrayArgumentsToRunnerAsync()
{
// Arrange
JsonElement? capturedArgs = null;
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, JsonElement? args, IServiceProvider? sp, CancellationToken ct)
{
capturedArgs = args;
return Task.FromResult<object?>("done");
}
var script = CreateScript("array-test", "/scripts/test.sh", runnerAsync);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Content",
"/skills/my-skill");
using var arrayArgsDoc = JsonDocument.Parse("""["arg1","arg2","arg3"]""");
var arrayArgs = arrayArgsDoc.RootElement;
// Act
await script.RunAsync(fileSkill, arrayArgs, null, CancellationToken.None);
// Assert — the raw JSON array is forwarded unchanged
Assert.NotNull(capturedArgs);
Assert.Equal(JsonValueKind.Array, capturedArgs!.Value.ValueKind);
Assert.Equal("""["arg1","arg2","arg3"]""", capturedArgs.Value.GetRawText());
}
[Fact]
public async Task RunAsync_ForwardsServiceProviderToRunnerAsync()
{
// Arrange
IServiceProvider? capturedProvider = null;
Task<object?> runnerAsync(AgentFileSkill skill, AgentFileSkillScript scriptArg, JsonElement? args, IServiceProvider? sp, CancellationToken ct)
{
capturedProvider = sp;
return Task.FromResult<object?>("done");
}
var script = CreateScript("sp-test", "/scripts/test.sh", runnerAsync);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Content",
"/skills/my-skill");
var mockProvider = new TestServiceProvider();
// Act
await script.RunAsync(fileSkill, null, mockProvider, CancellationToken.None);
// Assert
Assert.Same(mockProvider, capturedProvider);
}
[Fact]
public async Task RunAsync_NoRunner_ThrowsInvalidOperationExceptionAsync()
{
// Arrange — create script without a runner
var script = CreateScript("no-runner", "/scripts/test.sh", runner: null);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Content",
"/skills/my-skill");
// Act & Assert
await Assert.ThrowsAsync<InvalidOperationException>(
() => script.RunAsync(fileSkill, null, null, CancellationToken.None));
}
[Fact]
public void Content_WithScripts_ContainsDefaultParametersSchema()
{
// Arrange
static Task<object?> RunnerAsync(AgentFileSkill s, AgentFileSkillScript sc, JsonElement? a, IServiceProvider? sp, CancellationToken ct) => Task.FromResult<object?>(null);
var script = CreateScript("test", "/scripts/test.sh", RunnerAsync);
var fileSkill = new AgentFileSkill(
new AgentSkillFrontmatter("my-skill", "A skill"),
"Original content",
"/skills/my-skill",
scripts: [script]);
// Act
var content = fileSkill.Content;
// Assert — the appended block contains the actual default schema from AgentFileSkillScript
Assert.Contains("""{"type":"array","items":{"type":"string"}}""", content);
}
/// <summary>
/// Helper to create an <see cref="AgentFileSkillScript"/> via reflection since the constructor is internal.
/// </summary>
private static AgentFileSkillScript CreateScript(string name, string fullPath, AgentFileSkillScriptRunner? runner)
private static AgentFileSkillScript CreateScript(string name, string fullPath, AgentFileSkillScriptRunner executor)
{
var ctor = typeof(AgentFileSkillScript).GetConstructor(
System.Reflection.BindingFlags.NonPublic | System.Reflection.BindingFlags.Instance,
@@ -261,14 +98,6 @@ public sealed class AgentFileSkillScriptTests
[typeof(string), typeof(string), typeof(AgentFileSkillScriptRunner)],
null) ?? throw new InvalidOperationException("Could not find internal constructor.");
return (AgentFileSkillScript)ctor.Invoke([name, fullPath, runner]);
}
/// <summary>
/// Minimal <see cref="IServiceProvider"/> for testing service forwarding.
/// </summary>
private sealed class TestServiceProvider : IServiceProvider
{
public object? GetService(Type serviceType) => null;
return (AgentFileSkillScript)ctor.Invoke([name, fullPath, executor]);
}
}
@@ -3,9 +3,9 @@
using System;
using System.IO;
using System.Linq;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
@@ -15,7 +15,7 @@ namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
public sealed class AgentFileSkillsSourceScriptTests : IDisposable
{
private static readonly string[] s_rubyExtension = new[] { ".rb" };
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, sp, ct) => Task.FromResult<object?>(null);
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, ct) => Task.FromResult<object?>(null);
private readonly string _testRoot;
@@ -139,7 +139,7 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
var executorCalled = false;
var source = new AgentFileSkillsSource(
this._testRoot,
(skill, script, args, sp, ct) =>
(skill, script, args, ct) =>
{
executorCalled = true;
Assert.Equal("exec-skill", skill.Frontmatter.Name);
@@ -150,7 +150,7 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
// Act
var skills = await source.GetSkillsAsync(CancellationToken.None);
var scriptResult = await skills[0].Scripts![0].RunAsync(skills[0], null, null, CancellationToken.None);
var scriptResult = await skills[0].Scripts![0].RunAsync(skills[0], new AIFunctionArguments(), CancellationToken.None);
// Assert
Assert.True(executorCalled);
@@ -178,7 +178,7 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
var script = skills[0].Scripts![0];
// Assert — running the script throws because no runner was provided
await Assert.ThrowsAsync<InvalidOperationException>(() => script.RunAsync(skills[0], null, null, CancellationToken.None));
await Assert.ThrowsAsync<InvalidOperationException>(() => script.RunAsync(skills[0], new AIFunctionArguments(), CancellationToken.None));
}
[Fact]
@@ -204,10 +204,10 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
{
// Arrange
CreateSkillWithScript(this._testRoot, "args-skill", "Args test", "Body.", "scripts/test.py", "print('ok')");
JsonElement? capturedArgs = null;
AIFunctionArguments? capturedArgs = null;
var source = new AgentFileSkillsSource(
this._testRoot,
(skill, script, args, sp, ct) =>
(skill, script, args, ct) =>
{
capturedArgs = args;
return Task.FromResult<object?>("done");
@@ -215,15 +215,17 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
// Act
var skills = await source.GetSkillsAsync(CancellationToken.None);
using var argumentsDoc = JsonDocument.Parse("""{"value":26.2,"factor":1.60934}""");
var arguments = argumentsDoc.RootElement;
await skills[0].Scripts![0].RunAsync(skills[0], arguments, null, CancellationToken.None);
var arguments = new AIFunctionArguments
{
["value"] = 26.2,
["factor"] = 1.60934
};
await skills[0].Scripts![0].RunAsync(skills[0], arguments, CancellationToken.None);
// Assert
Assert.NotNull(capturedArgs);
Assert.Equal(JsonValueKind.Object, capturedArgs!.Value.ValueKind);
Assert.Equal(26.2, capturedArgs.Value.GetProperty("value").GetDouble());
Assert.Equal(1.60934, capturedArgs.Value.GetProperty("factor").GetDouble());
Assert.Equal(26.2, capturedArgs["value"]);
Assert.Equal(1.60934, capturedArgs["factor"]);
}
[Fact]
@@ -5,6 +5,7 @@ using System.Reflection;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
@@ -21,7 +22,7 @@ public sealed class AgentInlineSkillScriptTests
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
// Act
var result = await script.RunAsync(skill, null, null, CancellationToken.None);
var result = await script.RunAsync(skill, new AIFunctionArguments(), CancellationToken.None);
// Assert
Assert.Equal("hello", result?.ToString());
@@ -33,11 +34,10 @@ public sealed class AgentInlineSkillScriptTests
// Arrange
var script = new AgentInlineSkillScript("add", (int a, int b) => a + b);
var skill = new AgentInlineSkill("calc-skill", "Calc.", "Instructions.");
using var argsDoc = JsonDocument.Parse("""{"a":3,"b":7}""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["a"] = 3, ["b"] = 7 };
// Act
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.Equal(10, int.Parse(result?.ToString()!));
@@ -129,11 +129,10 @@ public sealed class AgentInlineSkillScriptTests
}, serializerOptions: jso);
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 5 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["request"] = inputJson };
// Act
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert — the custom input type was deserialized and the response was produced
Assert.NotNull(result);
@@ -146,11 +145,10 @@ public sealed class AgentInlineSkillScriptTests
// Arrange
var script = new AgentInlineSkillScript("echo", (string message) => message);
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
using var argsDoc = JsonDocument.Parse("""{"message":"hello world"}""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["message"] = "hello world" };
// Act
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.Equal("hello world", result?.ToString());
@@ -177,11 +175,10 @@ public sealed class AgentInlineSkillScriptTests
var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(StaticScriptHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
var script = new AgentInlineSkillScript("static-method-script", method, target: null);
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
using var argsDoc = JsonDocument.Parse("""{"input":"hello"}""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["input"] = "hello" };
// Act
var result = await script.RunAsync(skill, args, null, CancellationToken.None);
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.Equal("HELLO", result?.ToString());
@@ -194,11 +191,10 @@ public sealed class AgentInlineSkillScriptTests
var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(InstanceScriptHelper), BindingFlags.NonPublic | BindingFlags.Instance)!;
var script = new AgentInlineSkillScript("instance-method-script", method, target: this);
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
using var argsDoc2 = JsonDocument.Parse("""{"input":"test"}""");
var args2 = argsDoc2.RootElement;
var args = new AIFunctionArguments { ["input"] = "test" };
// Act
var result = await script.RunAsync(skill, args2, null, CancellationToken.None);
var result = await script.RunAsync(skill, args, CancellationToken.None);
// Assert
Assert.Equal("test-suffix", result?.ToString());
@@ -227,63 +223,7 @@ public sealed class AgentInlineSkillScriptTests
Assert.Contains("input", schema!.Value.GetRawText());
}
[Fact]
public async Task RunAsync_WithNonObjectArguments_ThrowsInvalidOperationExceptionAsync()
{
// Arrange — inline scripts require a JSON object for arguments
var script = new AgentInlineSkillScript("noop", () => "ok");
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
using var arrayArgsDoc = JsonDocument.Parse("""["a","b"]""");
var arrayArgs = arrayArgsDoc.RootElement;
// Act & Assert — non-object JSON should fail fast rather than silently dropping arguments
await Assert.ThrowsAsync<InvalidOperationException>(
() => script.RunAsync(skill, arrayArgs, null, CancellationToken.None));
}
[Fact]
public async Task RunAsync_WithNullArguments_TreatsAsNoArgumentsAsync()
{
// Arrange — a parameterless delegate should succeed when given null arguments
var script = new AgentInlineSkillScript("noop", () => "ok");
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
// Act
var result = await script.RunAsync(skill, null, null, CancellationToken.None);
// Assert
Assert.Equal("ok", result?.ToString());
}
[Fact]
public async Task RunAsync_ServiceProviderIsForwardedAsync()
{
// Arrange — delegate that resolves a service from the IServiceProvider
IServiceProvider? capturedProvider = null;
var script = new AgentInlineSkillScript("svc-test", (IServiceProvider sp) =>
{
capturedProvider = sp;
return "done";
});
var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
var mockProvider = new TestServiceProvider();
// Act
await script.RunAsync(skill, null, mockProvider, CancellationToken.None);
// Assert
Assert.Same(mockProvider, capturedProvider);
}
private static string StaticScriptHelper(string input) => input.ToUpperInvariant();
private string InstanceScriptHelper(string input) => input + "-suffix";
/// <summary>
/// Minimal <see cref="IServiceProvider"/> for testing service forwarding.
/// </summary>
private sealed class TestServiceProvider : IServiceProvider
{
public object? GetService(Type serviceType) => null;
}
}
@@ -433,11 +433,10 @@ public sealed class AgentInlineSkillTests
TotalCount = request.MaxResults,
});
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 3 }, jso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["request"] = inputJson };
// Act
var result = await skill.Scripts![0].RunAsync(skill, args, null, CancellationToken.None);
var result = await skill.Scripts![0].RunAsync(skill, args, CancellationToken.None);
// Assert — the custom input was deserialized via skill-level JSO and response was produced
Assert.NotNull(result);
@@ -457,11 +456,10 @@ public sealed class AgentInlineSkillTests
TotalCount = request.MaxResults,
}, serializerOptions: scriptJso);
var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "override", MaxResults = 7 }, scriptJso);
using var argsDoc = JsonDocument.Parse($$"""{ "request": {{inputJson.GetRawText()}} }""");
var args = argsDoc.RootElement;
var args = new AIFunctionArguments { ["request"] = inputJson };
// Act
var result = await skill.Scripts![0].RunAsync(skill, args, null, CancellationToken.None);
var result = await skill.Scripts![0].RunAsync(skill, args, CancellationToken.None);
// Assert — per-script JSO takes effect and custom types are properly marshaled
Assert.NotNull(result);
@@ -4,7 +4,6 @@ using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
@@ -16,7 +15,7 @@ namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
/// </summary>
public sealed class AgentSkillsProviderTests : IDisposable
{
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, sp, ct) => Task.FromResult<object?>(null);
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, ct) => Task.FromResult<object?>(null);
private readonly string _testRoot;
private readonly TestAIAgent _agent = new();
@@ -463,7 +462,7 @@ public sealed class AgentSkillsProviderTests : IDisposable
// Act — call UseFileScriptRunner AFTER UseFileSkill (the bug scenario)
var provider = new AgentSkillsProviderBuilder()
.UseFileSkill(this._testRoot)
.UseFileScriptRunner((skill, script, args, sp, ct) =>
.UseFileScriptRunner((skill, script, args, ct) =>
{
executorCalled = true;
return Task.FromResult<object?>("executed");
@@ -488,62 +487,6 @@ public sealed class AgentSkillsProviderTests : IDisposable
Assert.True(executorCalled);
}
[Fact]
public async Task RunSkillScript_ForwardsJsonArgumentsAndServiceProviderToRunnerAsync()
{
// Arrange — create a skill with a script file
string skillDir = Path.Combine(this._testRoot, "fwd-skill");
Directory.CreateDirectory(Path.Combine(skillDir, "scripts"));
File.WriteAllText(
Path.Combine(skillDir, "SKILL.md"),
"---\nname: fwd-skill\ndescription: Forwarding test\n---\nBody.");
File.WriteAllText(
Path.Combine(skillDir, "scripts", "run.py"),
"print('ok')");
JsonElement? capturedArgs = null;
IServiceProvider? capturedServiceProvider = null;
var provider = new AgentSkillsProviderBuilder()
.UseFileSkill(this._testRoot)
.UseFileScriptRunner((skill, script, args, sp, ct) =>
{
capturedArgs = args;
capturedServiceProvider = sp;
return Task.FromResult<object?>("executed");
})
.Build();
var mockServiceProvider = new TestServiceProvider();
var invokingContext = new AIContextProvider.InvokingContext(this._agent, session: null, new AIContext());
var result = await provider.InvokingAsync(invokingContext, CancellationToken.None);
var runScriptTool = result.Tools!.First(t => t.Name == "run_skill_script") as AIFunction;
// Act — invoke with JsonElement arguments and a service provider
using var argsJsonDoc = JsonDocument.Parse("""["arg1","arg2"]""");
var argsJson = argsJsonDoc.RootElement;
await runScriptTool!.InvokeAsync(new AIFunctionArguments(new Dictionary<string, object?>
{
["skillName"] = "fwd-skill",
["scriptName"] = "scripts/run.py",
["arguments"] = argsJson,
})
{
Services = mockServiceProvider,
});
// Assert — JsonElement arguments and service provider are forwarded to the runner
Assert.NotNull(capturedArgs);
Assert.Equal(JsonValueKind.Array, capturedArgs!.Value.ValueKind);
Assert.Equal("""["arg1","arg2"]""", capturedArgs.Value.GetRawText());
Assert.Same(mockServiceProvider, capturedServiceProvider);
}
private sealed class TestServiceProvider : IServiceProvider
{
public object? GetService(Type serviceType) => null;
}
private static void CreateSkillIn(string root, string name, string description, string body)
{
string skillDir = Path.Combine(root, name);
@@ -15,7 +15,7 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
private static readonly string[] s_customExtensions = [".custom"];
private static readonly string[] s_validExtensions = [".md", ".json", ".custom"];
private static readonly string[] s_mixedValidInvalidExtensions = [".md", "json"];
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, sp, ct) => Task.FromResult<object?>(null);
private static readonly AgentFileSkillScriptRunner s_noOpExecutor = (skill, script, args, ct) => Task.FromResult<object?>(null);
private readonly string _testRoot;
+1 -1
View File
@@ -61,7 +61,7 @@ repos:
additional_dependencies: ["bandit[toml]"]
- repo: https://github.com/astral-sh/uv-pre-commit
# uv version.
rev: 0.11.6
rev: 0.10.10
hooks:
# Update the uv lockfile
- id: uv-lock
+1 -28
View File
@@ -7,32 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
## [1.2.1] - 2026-04-28
### Added
- **agent-framework-foundry-hosting**: Add file data type support to hosted-agent Responses, refresh `foundry-hosted-agents` samples, and add response test coverage ([#5485](https://github.com/microsoft/agent-framework/pull/5485))
- **samples**: Add `requirements.txt` and `.env.example` to the `a2a/` hosting sample for pip-based setup ([#5510](https://github.com/microsoft/agent-framework/pull/5510))
### Changed
- **dependencies**: Update `rich` requirement from `<15.0.0,>=13.7.1` to `>=13.7.1,<16.0.0` in `/python` ([#5227](https://github.com/microsoft/agent-framework/pull/5227))
- **dependencies**: Bump `prek` from `0.3.8` to `0.3.9` in `/python` ([#5228](https://github.com/microsoft/agent-framework/pull/5228))
- **dependencies**: Bump `python-multipart` from `0.0.22` to `0.0.26` in `/python` ([#5286](https://github.com/microsoft/agent-framework/pull/5286))
- **dependencies**: Bump `pyasn1` from `0.6.2` to `0.6.3` in `/python` ([#4748](https://github.com/microsoft/agent-framework/pull/4748))
- **dependencies**: Bump `pytest` from `9.0.2` to `9.0.3` in `/python/packages/ag-ui` ([#5461](https://github.com/microsoft/agent-framework/pull/5461))
- **dependencies**: Bump `pytest` from `9.0.2` to `9.0.3` in `/python/packages/devui` ([#5492](https://github.com/microsoft/agent-framework/pull/5492))
- **dependencies**: Bump `pytest` from `9.0.2` to `9.0.3` in `/python/packages/lab` ([#5470](https://github.com/microsoft/agent-framework/pull/5470))
- **dependencies**: Bump `uv` from `0.11.3` to `0.11.6` in `/python/packages/lab` ([#5469](https://github.com/microsoft/agent-framework/pull/5469))
- **dependencies**: Bump `vite` from `7.1.12` to `7.3.2` in `/python/packages/devui/frontend` ([#5127](https://github.com/microsoft/agent-framework/pull/5127))
- **dependencies**: Bump `vite` from `7.1.12` to `7.3.2` in `/python/samples/05-end-to-end/chatkit-integration/frontend` ([#5126](https://github.com/microsoft/agent-framework/pull/5126))
- **dependencies**: Bump `postcss` from `8.5.6` to `8.5.10` in `/python/packages/devui/frontend` ([#5484](https://github.com/microsoft/agent-framework/pull/5484))
- **dependencies**: Bump `postcss` from `8.5.6` to `8.5.10` in `/python/samples/05-end-to-end/chatkit-integration/frontend` ([#5491](https://github.com/microsoft/agent-framework/pull/5491))
- **dependencies**: Bump `postcss` from `8.5.6` to `8.5.12` in `/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend` ([#5527](https://github.com/microsoft/agent-framework/pull/5527))
- **dependencies**: Bump `picomatch` from `4.0.3` to `4.0.4` in `/python/packages/devui/frontend` ([#4921](https://github.com/microsoft/agent-framework/pull/4921))
- **dependencies**: Bump `picomatch` from `4.0.3` to `4.0.4` in `/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend` ([#4936](https://github.com/microsoft/agent-framework/pull/4936))
### Fixed
- **agent-framework-core**: Prevent `inner_exception` from being lost in `AgentFrameworkException` ([#5167](https://github.com/microsoft/agent-framework/pull/5167))
## [1.2.0] - 2026-04-24
### Added
@@ -1003,8 +977,7 @@ Release candidate for **agent-framework-core** and **agent-framework-azure-ai**
For more information, see the [announcement blog post](https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/).
[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.2.1...HEAD
[1.2.1]: https://github.com/microsoft/agent-framework/compare/python-1.2.0...python-1.2.1
[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.2.0...HEAD
[1.2.0]: https://github.com/microsoft/agent-framework/compare/python-1.1.1...python-1.2.0
[1.1.1]: https://github.com/microsoft/agent-framework/compare/python-1.1.0...python-1.1.1
[1.1.0]: https://github.com/microsoft/agent-framework/compare/python-1.0.1...python-1.1.0
+2 -2
View File
@@ -4,7 +4,7 @@ description = "A2A integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"a2a-sdk>=0.3.5,<0.3.24",
]
+3 -3
View File
@@ -1,6 +1,6 @@
[project]
name = "agent-framework-ag-ui"
version = "1.0.0b260428"
version = "1.0.0b260424"
description = "AG-UI protocol integration for Agent Framework"
readme = "README.md"
license-files = ["LICENSE"]
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"ag-ui-protocol>=0.1.16,<0.2",
"fastapi>=0.115.0,<0.133.1",
"uvicorn[standard]>=0.30.0,<0.42.0"
@@ -30,7 +30,7 @@ dependencies = [
[project.optional-dependencies]
dev = [
"pytest==9.0.3",
"pytest==9.0.2",
"httpx==0.28.1",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Anthropic integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"anthropic>=0.80.0,<0.80.1",
]
@@ -4,7 +4,7 @@ description = "Azure AI Search integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"azure-search-documents>=11.7.0b2,<11.7.0b3",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Azure Cosmos DB history provider integration for Microsoft Agent
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"azure-cosmos>=4.3.0,<5",
]
@@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"agent-framework-durabletask",
"azure-functions>=1.24.0,<2",
"azure-functions-durable>=1.3.1,<2",
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Amazon Bedrock integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"boto3>=1.35.0,<2.0.0",
"botocore>=1.35.0,<2.0.0",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "OpenAI ChatKit integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"openai-chatkit>=1.4.1,<2.0.0",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Claude Agent SDK integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"claude-agent-sdk>=0.1.36,<0.1.49",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Copilot Studio integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"microsoft-agents-copilotstudio-client>=0.3.1,<0.3.2",
]
@@ -247,7 +247,6 @@ from ._workflows._workflow_executor import (
WorkflowExecutor,
)
from .exceptions import (
AgentFrameworkException,
MiddlewareException,
UserInputRequiredException,
WorkflowCheckpointException,
@@ -281,7 +280,6 @@ __all__ = [
"AgentExecutor",
"AgentExecutorRequest",
"AgentExecutorResponse",
"AgentFrameworkException",
"AgentMiddleware",
"AgentMiddlewareLayer",
"AgentMiddlewareTypes",
@@ -79,11 +79,9 @@ def _detect_hosted_environment() -> None:
except (ModuleNotFoundError, ValueError):
return
with contextlib.suppress(ImportError, AttributeError):
from azure.ai.agentserver.core import ( # pyright: ignore[reportMissingImports]
AgentConfig, # pyright: ignore[reportUnknownVariableType]
)
from azure.ai.agentserver.core import AgentConfig # pyright: ignore[reportMissingImports]
if AgentConfig.from_env().is_hosted: # pyright: ignore[reportUnknownMemberType]
if AgentConfig.from_env().is_hosted:
_add_user_agent_prefix(_HOSTED_USER_AGENT_PREFIX)
_hosted_env_detected = True
@@ -34,8 +34,7 @@ class AgentFrameworkException(Exception):
logger.log(log_level, message, exc_info=inner_exception)
if inner_exception:
super().__init__(message, inner_exception, *args) # type: ignore
else:
super().__init__(message, *args) # type: ignore
super().__init__(message, *args) # type: ignore
# region Agent Exceptions
+1 -1
View File
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.2.1"
version = "1.2.0"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -1,27 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
"""Tests for AgentFrameworkException inner_exception handling."""
from agent_framework import AgentFrameworkException
def test_exception_with_inner_exception():
"""When inner_exception is provided, it should be set as the second arg."""
inner = ValueError("inner error")
exc = AgentFrameworkException("test message", inner_exception=inner)
assert exc.args[0] == "test message"
assert exc.args[1] is inner
def test_exception_without_inner_exception():
"""When inner_exception is None, args should only contain the message."""
exc = AgentFrameworkException("test message")
assert exc.args == ("test message",)
assert len(exc.args) == 1
def test_exception_inner_exception_none_explicit():
"""When inner_exception is explicitly None, args should only contain the message."""
exc = AgentFrameworkException("test message", inner_exception=None)
assert exc.args == ("test message",)
assert len(exc.args) == 1
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Declarative specification support for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"powerfx>=0.0.32,<0.0.35; python_version < '3.14'",
"pyyaml>=6.0,<7.0",
]
+121 -121
View File
@@ -43,7 +43,7 @@
"tw-animate-css": "^1.3.7",
"typescript": "~5.8.3",
"typescript-eslint": "^8.39.1",
"vite": "^7.3.2"
"vite": "^7.1.11"
}
},
"node_modules/@ampproject/remapping": {
@@ -343,9 +343,9 @@
}
},
"node_modules/@esbuild/aix-ppc64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.7.tgz",
"integrity": "sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.9.tgz",
"integrity": "sha512-OaGtL73Jck6pBKjNIe24BnFE6agGl+6KxDtTfHhy1HmhthfKouEcOhqpSL64K4/0WCtbKFLOdzD/44cJ4k9opA==",
"cpu": [
"ppc64"
],
@@ -359,9 +359,9 @@
}
},
"node_modules/@esbuild/android-arm": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.27.7.tgz",
"integrity": "sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.9.tgz",
"integrity": "sha512-5WNI1DaMtxQ7t7B6xa572XMXpHAaI/9Hnhk8lcxF4zVN4xstUgTlvuGDorBguKEnZO70qwEcLpfifMLoxiPqHQ==",
"cpu": [
"arm"
],
@@ -375,9 +375,9 @@
}
},
"node_modules/@esbuild/android-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.27.7.tgz",
"integrity": "sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.9.tgz",
"integrity": "sha512-IDrddSmpSv51ftWslJMvl3Q2ZT98fUSL2/rlUXuVqRXHCs5EUF1/f+jbjF5+NG9UffUDMCiTyh8iec7u8RlTLg==",
"cpu": [
"arm64"
],
@@ -391,9 +391,9 @@
}
},
"node_modules/@esbuild/android-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.27.7.tgz",
"integrity": "sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.9.tgz",
"integrity": "sha512-I853iMZ1hWZdNllhVZKm34f4wErd4lMyeV7BLzEExGEIZYsOzqDWDf+y082izYUE8gtJnYHdeDpN/6tUdwvfiw==",
"cpu": [
"x64"
],
@@ -407,9 +407,9 @@
}
},
"node_modules/@esbuild/darwin-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.27.7.tgz",
"integrity": "sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.25.9.tgz",
"integrity": "sha512-XIpIDMAjOELi/9PB30vEbVMs3GV1v2zkkPnuyRRURbhqjyzIINwj+nbQATh4H9GxUgH1kFsEyQMxwiLFKUS6Rg==",
"cpu": [
"arm64"
],
@@ -423,9 +423,9 @@
}
},
"node_modules/@esbuild/darwin-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.27.7.tgz",
"integrity": "sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.25.9.tgz",
"integrity": "sha512-jhHfBzjYTA1IQu8VyrjCX4ApJDnH+ez+IYVEoJHeqJm9VhG9Dh2BYaJritkYK3vMaXrf7Ogr/0MQ8/MeIefsPQ==",
"cpu": [
"x64"
],
@@ -439,9 +439,9 @@
}
},
"node_modules/@esbuild/freebsd-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.27.7.tgz",
"integrity": "sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.25.9.tgz",
"integrity": "sha512-z93DmbnY6fX9+KdD4Ue/H6sYs+bhFQJNCPZsi4XWJoYblUqT06MQUdBCpcSfuiN72AbqeBFu5LVQTjfXDE2A6Q==",
"cpu": [
"arm64"
],
@@ -455,9 +455,9 @@
}
},
"node_modules/@esbuild/freebsd-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.27.7.tgz",
"integrity": "sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.25.9.tgz",
"integrity": "sha512-mrKX6H/vOyo5v71YfXWJxLVxgy1kyt1MQaD8wZJgJfG4gq4DpQGpgTB74e5yBeQdyMTbgxp0YtNj7NuHN0PoZg==",
"cpu": [
"x64"
],
@@ -471,9 +471,9 @@
}
},
"node_modules/@esbuild/linux-arm": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.27.7.tgz",
"integrity": "sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.25.9.tgz",
"integrity": "sha512-HBU2Xv78SMgaydBmdor38lg8YDnFKSARg1Q6AT0/y2ezUAKiZvc211RDFHlEZRFNRVhcMamiToo7bDx3VEOYQw==",
"cpu": [
"arm"
],
@@ -487,9 +487,9 @@
}
},
"node_modules/@esbuild/linux-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.27.7.tgz",
"integrity": "sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.25.9.tgz",
"integrity": "sha512-BlB7bIcLT3G26urh5Dmse7fiLmLXnRlopw4s8DalgZ8ef79Jj4aUcYbk90g8iCa2467HX8SAIidbL7gsqXHdRw==",
"cpu": [
"arm64"
],
@@ -503,9 +503,9 @@
}
},
"node_modules/@esbuild/linux-ia32": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.27.7.tgz",
"integrity": "sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.25.9.tgz",
"integrity": "sha512-e7S3MOJPZGp2QW6AK6+Ly81rC7oOSerQ+P8L0ta4FhVi+/j/v2yZzx5CqqDaWjtPFfYz21Vi1S0auHrap3Ma3A==",
"cpu": [
"ia32"
],
@@ -519,9 +519,9 @@
}
},
"node_modules/@esbuild/linux-loong64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.27.7.tgz",
"integrity": "sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.25.9.tgz",
"integrity": "sha512-Sbe10Bnn0oUAB2AalYztvGcK+o6YFFA/9829PhOCUS9vkJElXGdphz0A3DbMdP8gmKkqPmPcMJmJOrI3VYB1JQ==",
"cpu": [
"loong64"
],
@@ -535,9 +535,9 @@
}
},
"node_modules/@esbuild/linux-mips64el": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.27.7.tgz",
"integrity": "sha512-KabT5I6StirGfIz0FMgl1I+R1H73Gp0ofL9A3nG3i/cYFJzKHhouBV5VWK1CSgKvVaG4q1RNpCTR2LuTVB3fIw==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.25.9.tgz",
"integrity": "sha512-YcM5br0mVyZw2jcQeLIkhWtKPeVfAerES5PvOzaDxVtIyZ2NUBZKNLjC5z3/fUlDgT6w89VsxP2qzNipOaaDyA==",
"cpu": [
"mips64el"
],
@@ -551,9 +551,9 @@
}
},
"node_modules/@esbuild/linux-ppc64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.27.7.tgz",
"integrity": "sha512-gRsL4x6wsGHGRqhtI+ifpN/vpOFTQtnbsupUF5R5YTAg+y/lKelYR1hXbnBdzDjGbMYjVJLJTd2OFmMewAgwlQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.25.9.tgz",
"integrity": "sha512-++0HQvasdo20JytyDpFvQtNrEsAgNG2CY1CLMwGXfFTKGBGQT3bOeLSYE2l1fYdvML5KUuwn9Z8L1EWe2tzs1w==",
"cpu": [
"ppc64"
],
@@ -567,9 +567,9 @@
}
},
"node_modules/@esbuild/linux-riscv64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.27.7.tgz",
"integrity": "sha512-hL25LbxO1QOngGzu2U5xeXtxXcW+/GvMN3ejANqXkxZ/opySAZMrc+9LY/WyjAan41unrR3YrmtTsUpwT66InQ==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.25.9.tgz",
"integrity": "sha512-uNIBa279Y3fkjV+2cUjx36xkx7eSjb8IvnL01eXUKXez/CBHNRw5ekCGMPM0BcmqBxBcdgUWuUXmVWwm4CH9kg==",
"cpu": [
"riscv64"
],
@@ -583,9 +583,9 @@
}
},
"node_modules/@esbuild/linux-s390x": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.27.7.tgz",
"integrity": "sha512-2k8go8Ycu1Kb46vEelhu1vqEP+UeRVj2zY1pSuPdgvbd5ykAw82Lrro28vXUrRmzEsUV0NzCf54yARIK8r0fdw==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.25.9.tgz",
"integrity": "sha512-Mfiphvp3MjC/lctb+7D287Xw1DGzqJPb/J2aHHcHxflUo+8tmN/6d4k6I2yFR7BVo5/g7x2Monq4+Yew0EHRIA==",
"cpu": [
"s390x"
],
@@ -599,9 +599,9 @@
}
},
"node_modules/@esbuild/linux-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.27.7.tgz",
"integrity": "sha512-hzznmADPt+OmsYzw1EE33ccA+HPdIqiCRq7cQeL1Jlq2gb1+OyWBkMCrYGBJ+sxVzve2ZJEVeePbLM2iEIZSxA==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/linux-x64/-/linux-x64-0.25.9.tgz",
"integrity": "sha512-iSwByxzRe48YVkmpbgoxVzn76BXjlYFXC7NvLYq+b+kDjyyk30J0JY47DIn8z1MO3K0oSl9fZoRmZPQI4Hklzg==",
"cpu": [
"x64"
],
@@ -615,9 +615,9 @@
}
},
"node_modules/@esbuild/netbsd-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/netbsd-arm64/-/netbsd-arm64-0.27.7.tgz",
"integrity": "sha512-b6pqtrQdigZBwZxAn1UpazEisvwaIDvdbMbmrly7cDTMFnw/+3lVxxCTGOrkPVnsYIosJJXAsILG9XcQS+Yu6w==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/netbsd-arm64/-/netbsd-arm64-0.25.9.tgz",
"integrity": "sha512-9jNJl6FqaUG+COdQMjSCGW4QiMHH88xWbvZ+kRVblZsWrkXlABuGdFJ1E9L7HK+T0Yqd4akKNa/lO0+jDxQD4Q==",
"cpu": [
"arm64"
],
@@ -631,9 +631,9 @@
}
},
"node_modules/@esbuild/netbsd-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.27.7.tgz",
"integrity": "sha512-OfatkLojr6U+WN5EDYuoQhtM+1xco+/6FSzJJnuWiUw5eVcicbyK3dq5EeV/QHT1uy6GoDhGbFpprUiHUYggrw==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/netbsd-x64/-/netbsd-x64-0.25.9.tgz",
"integrity": "sha512-RLLdkflmqRG8KanPGOU7Rpg829ZHu8nFy5Pqdi9U01VYtG9Y0zOG6Vr2z4/S+/3zIyOxiK6cCeYNWOFR9QP87g==",
"cpu": [
"x64"
],
@@ -647,9 +647,9 @@
}
},
"node_modules/@esbuild/openbsd-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/openbsd-arm64/-/openbsd-arm64-0.27.7.tgz",
"integrity": "sha512-AFuojMQTxAz75Fo8idVcqoQWEHIXFRbOc1TrVcFSgCZtQfSdc1RXgB3tjOn/krRHENUB4j00bfGjyl2mJrU37A==",
"version": "0.25.9",
"resolved": "https://registry.npmjs.org/@esbuild/openbsd-arm64/-/openbsd-arm64-0.25.9.tgz",
"integrity": "sha512-YaFBlPGeDasft5IIM+CQAhJAqS3St3nJzDEgsgFixcfZeyGPCd6eJBWzke5piZuZ7CtL656eOSYKk4Ls2C0FRQ==",
"cpu": [
"arm64"
],
@@ -663,9 +663,9 @@
}
},
"node_modules/@esbuild/openbsd-x64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.27.7.tgz",
"integrity": "sha512-+A1NJmfM8WNDv5CLVQYJ5PshuRm/4cI6WMZRg1by1GwPIQPCTs1GLEUHwiiQGT5zDdyLiRM/l1G0Pv54gvtKIg==",
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"resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.25.9.tgz",
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"cpu": [
"x64"
],
@@ -679,9 +679,9 @@
}
},
"node_modules/@esbuild/openharmony-arm64": {
"version": "0.27.7",
"resolved": "https://registry.npmjs.org/@esbuild/openharmony-arm64/-/openharmony-arm64-0.27.7.tgz",
"integrity": "sha512-+KrvYb/C8zA9CU/g0sR6w2RBw7IGc5J2BPnc3dYc5VJxHCSF1yNMxTV5LQ7GuKteQXZtspjFbiuW5/dOj7H4Yw==",
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"cpu": [
"arm64"
],
@@ -695,9 +695,9 @@
}
},
"node_modules/@esbuild/sunos-x64": {
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View File
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resolved "https://registry.yarnpkg.com/@esbuild/win32-ia32/-/win32-ia32-0.25.9.tgz#52fc735406bd49688253e74e4e837ac2ba0789e3"
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"@esbuild/win32-x64@0.27.7":
version "0.27.7"
resolved "https://registry.yarnpkg.com/@esbuild/win32-x64/-/win32-x64-0.27.7.tgz#8fe30b3088b89b4873c3a6cc87597ae3920c0a8b"
integrity sha512-56hiAJPhwQ1R4i+21FVF7V8kSD5zZTdHcVuRFMW0hn753vVfQN8xlx4uOPT4xoGH0Z/oVATuR82AiqSTDIpaHg==
"@esbuild/win32-x64@0.25.9":
version "0.25.9"
resolved "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.25.9.tgz"
integrity sha512-PPOl1mi6lpLNQxnGoyAfschAodRFYXJ+9fs6WHXz7CSWKbOqiMZsubC+BQsVKuul+3vKLuwTHsS2c2y9EoKwxQ==
"@eslint-community/eslint-utils@^4.2.0", "@eslint-community/eslint-utils@^4.7.0":
version "4.7.0"
@@ -1593,37 +1593,37 @@ enhanced-resolve@^5.18.3:
graceful-fs "^4.2.4"
tapable "^2.2.0"
esbuild@^0.27.0:
version "0.27.7"
resolved "https://registry.yarnpkg.com/esbuild/-/esbuild-0.27.7.tgz#bcadce22b2f3fd76f257e3a64f83a64986fea11f"
integrity sha512-IxpibTjyVnmrIQo5aqNpCgoACA/dTKLTlhMHihVHhdkxKyPO1uBBthumT0rdHmcsk9uMonIWS0m4FljWzILh3w==
esbuild@^0.25.0:
version "0.25.9"
resolved "https://registry.npmjs.org/esbuild/-/esbuild-0.25.9.tgz"
integrity sha512-CRbODhYyQx3qp7ZEwzxOk4JBqmD/seJrzPa/cGjY1VtIn5E09Oi9/dB4JwctnfZ8Q8iT7rioVv5k/FNT/uf54g==
optionalDependencies:
"@esbuild/aix-ppc64" "0.27.7"
"@esbuild/android-arm" "0.27.7"
"@esbuild/android-arm64" "0.27.7"
"@esbuild/android-x64" "0.27.7"
"@esbuild/darwin-arm64" "0.27.7"
"@esbuild/darwin-x64" "0.27.7"
"@esbuild/freebsd-arm64" "0.27.7"
"@esbuild/freebsd-x64" "0.27.7"
"@esbuild/linux-arm" "0.27.7"
"@esbuild/linux-arm64" "0.27.7"
"@esbuild/linux-ia32" "0.27.7"
"@esbuild/linux-loong64" "0.27.7"
"@esbuild/linux-mips64el" "0.27.7"
"@esbuild/linux-ppc64" "0.27.7"
"@esbuild/linux-riscv64" "0.27.7"
"@esbuild/linux-s390x" "0.27.7"
"@esbuild/linux-x64" "0.27.7"
"@esbuild/netbsd-arm64" "0.27.7"
"@esbuild/netbsd-x64" "0.27.7"
"@esbuild/openbsd-arm64" "0.27.7"
"@esbuild/openbsd-x64" "0.27.7"
"@esbuild/openharmony-arm64" "0.27.7"
"@esbuild/sunos-x64" "0.27.7"
"@esbuild/win32-arm64" "0.27.7"
"@esbuild/win32-ia32" "0.27.7"
"@esbuild/win32-x64" "0.27.7"
"@esbuild/aix-ppc64" "0.25.9"
"@esbuild/android-arm" "0.25.9"
"@esbuild/android-arm64" "0.25.9"
"@esbuild/android-x64" "0.25.9"
"@esbuild/darwin-arm64" "0.25.9"
"@esbuild/darwin-x64" "0.25.9"
"@esbuild/freebsd-arm64" "0.25.9"
"@esbuild/freebsd-x64" "0.25.9"
"@esbuild/linux-arm" "0.25.9"
"@esbuild/linux-arm64" "0.25.9"
"@esbuild/linux-ia32" "0.25.9"
"@esbuild/linux-loong64" "0.25.9"
"@esbuild/linux-mips64el" "0.25.9"
"@esbuild/linux-ppc64" "0.25.9"
"@esbuild/linux-riscv64" "0.25.9"
"@esbuild/linux-s390x" "0.25.9"
"@esbuild/linux-x64" "0.25.9"
"@esbuild/netbsd-arm64" "0.25.9"
"@esbuild/netbsd-x64" "0.25.9"
"@esbuild/openbsd-arm64" "0.25.9"
"@esbuild/openbsd-x64" "0.25.9"
"@esbuild/openharmony-arm64" "0.25.9"
"@esbuild/sunos-x64" "0.25.9"
"@esbuild/win32-arm64" "0.25.9"
"@esbuild/win32-ia32" "0.25.9"
"@esbuild/win32-x64" "0.25.9"
escalade@^3.2.0:
version "3.2.0"
@@ -2178,19 +2178,19 @@ picocolors@^1.1.1:
integrity sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==
picomatch@^2.3.1:
version "2.3.2"
resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.2.tgz#5a942915e26b372dc0f0e6753149a16e6b1c5601"
integrity sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA==
version "2.3.1"
resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz"
integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
picomatch@^4.0.3:
version "4.0.4"
resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-4.0.4.tgz#fd6f5e00a143086e074dffe4c924b8fb293b0589"
integrity sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==
version "4.0.3"
resolved "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz"
integrity sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==
postcss@^8.5.6:
version "8.5.10"
resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.5.10.tgz#8992d8c30acf3f12169e7c09514a12fed7e48356"
integrity sha512-pMMHxBOZKFU6HgAZ4eyGnwXF/EvPGGqUr0MnZ5+99485wwW41kW91A4LOGxSHhgugZmSChL5AlElNdwlNgcnLQ==
version "8.5.6"
resolved "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz"
integrity sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==
dependencies:
nanoid "^3.3.11"
picocolors "^1.1.1"
@@ -2468,12 +2468,12 @@ use-sync-external-store@^1.2.2:
resolved "https://registry.npmjs.org/use-sync-external-store/-/use-sync-external-store-1.5.0.tgz"
integrity sha512-Rb46I4cGGVBmjamjphe8L/UnvJD+uPPtTkNvX5mZgqdbavhI4EbgIWJiIHXJ8bc/i9EQGPRh4DwEURJ552Do0A==
vite@^7.3.2:
version "7.3.2"
resolved "https://registry.yarnpkg.com/vite/-/vite-7.3.2.tgz#cb041794d4c1395e28baea98198fd6e8f4b96b5c"
integrity sha512-Bby3NOsna2jsjfLVOHKes8sGwgl4TT0E6vvpYgnAYDIF/tie7MRaFthmKuHx1NSXjiTueXH3do80FMQgvEktRg==
vite@^7.1.11:
version "7.1.12"
resolved "https://registry.npmjs.org/vite/-/vite-7.1.12.tgz"
integrity sha512-ZWyE8YXEXqJrrSLvYgrRP7p62OziLW7xI5HYGWFzOvupfAlrLvURSzv/FyGyy0eidogEM3ujU+kUG1zuHgb6Ug==
dependencies:
esbuild "^0.27.0"
esbuild "^0.25.0"
fdir "^6.5.0"
picomatch "^4.0.3"
postcss "^8.5.6"
+4 -4
View File
@@ -4,7 +4,7 @@ description = "Debug UI for Microsoft Agent Framework with OpenAI-compatible API
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://github.com/microsoft/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"openai>=1.99.0,<3",
"opentelemetry-sdk>=1.39.0,<2",
"fastapi>=0.115.0,<0.133.1",
@@ -32,12 +32,12 @@ classifiers = [
[project.optional-dependencies]
dev = [
"pytest==9.0.3",
"pytest==9.0.2",
"watchdog==6.0.0",
"agent-framework-orchestrations==1.0.0b260402",
]
all = [
"pytest==9.0.3",
"pytest==9.0.2",
"watchdog==6.0.0",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Durable Task integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"durabletask>=1.3.0,<2",
"durabletask-azuremanaged>=1.3.0,<2",
"python-dateutil>=2.8.0,<3",
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Microsoft Foundry integrations for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.2.1"
version = "1.2.0"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"agent-framework-openai>=1.1.0,<2",
"azure-ai-inference>=1.0.0b9,<1.0.0b10",
"azure-ai-projects>=2.1.0,<3.0",
@@ -3,7 +3,6 @@
from __future__ import annotations
import asyncio
import base64
import json
import logging
import os
@@ -1076,31 +1075,6 @@ def _convert_output_message_content(content: OutputMessageContent) -> Content:
raise ValueError(f"Unsupported OutputMessageContent type: {content.type}")
def _convert_file_data(data_uri: str, filename: str | None = None) -> Content:
"""Convert a file_data data URI to a Content object.
For text/* MIME types, decodes the base64 content and returns it as text.
For other types, returns a URI-based Content with the filename preserved.
"""
# Parse data URI: data:<media_type>;base64,<data>
if data_uri.startswith("data:") and ";base64," in data_uri:
header, encoded = data_uri.split(";base64,", 1)
media_type = header[len("data:") :]
if media_type.startswith("text/"):
try:
decoded_text = base64.b64decode(encoded).decode("utf-8")
except (ValueError, UnicodeDecodeError):
logger.warning(
"Failed to decode text/* file_data as UTF-8, falling through to URI passthrough.",
exc_info=True,
)
else:
prefix = f"[File: {filename}]\n" if filename else ""
return Content.from_text(f"{prefix}{decoded_text}")
additional_properties = {"filename": filename} if filename else None
return Content.from_uri(data_uri, additional_properties=additional_properties)
def _convert_message_content(content: MessageContent) -> Content:
"""Converts a MessageContent to a Content object.
@@ -1134,9 +1108,7 @@ def _convert_message_content(content: MessageContent) -> Content:
if content.type == "input_image":
image = cast(MessageContentInputImageContent, content)
if image.image_url:
if image.image_url.startswith("data:"):
return Content.from_uri(image.image_url)
return Content.from_uri(image.image_url, media_type="image/*")
return Content.from_uri(image.image_url)
if image.file_id:
return Content.from_hosted_file(image.file_id)
if content.type == "input_file":
@@ -1145,8 +1117,6 @@ def _convert_message_content(content: MessageContent) -> Content:
return Content.from_uri(file.file_url)
if file.file_id:
return Content.from_hosted_file(file.file_id, name=file.filename)
if file.file_data:
return _convert_file_data(file.file_data, file.filename)
if content.type == "computer_screenshot":
screenshot = cast(ComputerScreenshotContent, content)
return Content.from_uri(screenshot.image_url)
@@ -4,7 +4,7 @@ description = "Foundry Hosting integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0a260428"
version = "1.0.0a260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"azure-ai-agentserver-core==2.0.0b3",
"azure-ai-agentserver-responses==1.0.0b5",
"azure-ai-agentserver-invocations==1.0.0b3",
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@@ -1507,121 +1507,6 @@ class TestMultiTurnMixedContent:
assert messages[0].contents[1].type == "uri"
assert messages[0].contents[1].uri == "https://example.com/doc.pdf"
async def test_text_and_file_data_input_single_turn(self) -> None:
"""Agent receives a message with text and file content via inline file_data."""
agent = _make_agent(
response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("File received")])])
)
server = _make_server(agent)
resp = await _post_json(
server,
{
"model": "test-model",
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "Summarize this document"},
{
"type": "input_file",
"file_data": "data:application/pdf;base64,JVBERi0xLjQ=",
"filename": "doc.pdf",
},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
messages = agent.run.call_args.kwargs["messages"]
assert len(messages) == 1
assert len(messages[0].contents) == 2
assert messages[0].contents[0].type == "text"
assert messages[0].contents[0].text == "Summarize this document"
assert messages[0].contents[1].type == "data"
assert messages[0].contents[1].uri == "data:application/pdf;base64,JVBERi0xLjQ="
async def test_text_mime_file_data_decoded(self) -> None:
"""Agent receives a text/* file_data that is base64-decoded to plain text."""
agent = _make_agent(
response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("Got it")])])
)
server = _make_server(agent)
import base64
encoded = base64.b64encode(b"Hello, world!").decode()
resp = await _post_json(
server,
{
"model": "test-model",
"input": [
{
"type": "message",
"role": "user",
"content": [
{
"type": "input_file",
"file_data": f"data:text/plain;base64,{encoded}",
"filename": "greeting.txt",
},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
messages = agent.run.call_args.kwargs["messages"]
assert len(messages) == 1
assert messages[0].contents[0].type == "text"
assert messages[0].contents[0].text == "[File: greeting.txt]\nHello, world!"
async def test_text_mime_file_data_invalid_base64_falls_through(self) -> None:
"""Invalid base64 in a text/* file_data falls through to URI passthrough."""
agent = _make_agent(
response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("Got it")])])
)
server = _make_server(agent)
resp = await _post_json(
server,
{
"model": "test-model",
"input": [
{
"type": "message",
"role": "user",
"content": [
{
"type": "input_file",
"file_data": "data:text/plain;base64,!!!invalid!!!",
"filename": "bad.txt",
},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
messages = agent.run.call_args.kwargs["messages"]
assert len(messages) == 1
assert messages[0].contents[0].type == "data"
assert messages[0].contents[0].uri == "data:text/plain;base64,!!!invalid!!!"
async def test_mixed_text_and_image_input(self) -> None:
"""Agent receives a single message with both text and image content."""
agent = _make_agent(
@@ -1,582 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for ResponsesHostServer with a real Foundry endpoint.
These tests exercise the full HTTP pipeline using httpx.AsyncClient with
ASGITransport no real server process is started. The agent talks to a real
Foundry project endpoint so every test requires valid credentials.
Required environment variables:
FOUNDRY_PROJECT_ENDPOINT - The Azure AI Foundry project endpoint URL.
FOUNDRY_MODEL - The model deployment name (e.g. gpt-4o).
"""
from __future__ import annotations
import base64
import json
import os
from pathlib import Path
from typing import Annotated, Any
import httpx
import pytest
from agent_framework import Agent, tool
from agent_framework.foundry import FoundryChatClient
from azure.ai.agentserver.responses import InMemoryResponseProvider
from azure.identity import AzureCliCredential
from agent_framework_foundry_hosting import ResponsesHostServer
# ---------------------------------------------------------------------------
# Skip / marker helpers
# ---------------------------------------------------------------------------
skip_if_foundry_hosting_integration_tests_disabled = pytest.mark.skipif(
os.getenv("FOUNDRY_PROJECT_ENDPOINT", "") in ("", "https://test-project.services.ai.azure.com/")
or os.getenv("FOUNDRY_MODEL", "") == "",
reason="No real FOUNDRY_PROJECT_ENDPOINT or FOUNDRY_MODEL provided; skipping integration tests.",
)
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
@pytest.fixture
def server() -> ResponsesHostServer:
"""Create a ResponsesHostServer backed by a real Foundry agent."""
client = FoundryChatClient(credential=AzureCliCredential())
agent = Agent(
client=client,
instructions="You are a concise assistant. Keep answers very short (one or two sentences).",
default_options={"store": False},
)
return ResponsesHostServer(agent, store=InMemoryResponseProvider())
@tool
async def get_weather(location: Annotated[str, "The city name"]) -> str:
"""Get the current weather in a given location."""
return f"The weather in {location} is 72°F and sunny."
@pytest.fixture
def server_with_tools() -> ResponsesHostServer:
"""Create a ResponsesHostServer whose agent has a tool."""
client = FoundryChatClient(credential=AzureCliCredential())
agent = Agent(
client=client,
instructions="You are a concise assistant. Use the provided tools when appropriate. Keep answers very short.",
tools=[get_weather],
default_options={"store": False},
)
return ResponsesHostServer(agent, store=InMemoryResponseProvider())
# ---------------------------------------------------------------------------
# HTTP helpers
# ---------------------------------------------------------------------------
async def _post_json(
server: ResponsesHostServer,
payload: dict[str, Any],
) -> httpx.Response:
"""Send a POST /responses request with a raw JSON payload."""
transport = httpx.ASGITransport(app=server)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
return await client.post("/responses", json=payload, timeout=120)
def _parse_sse_events(body: str) -> list[dict[str, Any]]:
"""Parse SSE text into a list of event dicts with 'event' and 'data' keys."""
events: list[dict[str, Any]] = []
current_event: str | None = None
current_data_lines: list[str] = []
for line in body.split("\n"):
if line.startswith("event: "):
current_event = line[len("event: ") :]
elif line.startswith("data: "):
current_data_lines.append(line[len("data: ") :])
elif line.strip() == "" and current_event is not None:
data_str = "\n".join(current_data_lines)
try:
data = json.loads(data_str)
except json.JSONDecodeError:
data = data_str
events.append({"event": current_event, "data": data})
current_event = None
current_data_lines = []
return events
def _sse_event_types(events: list[dict[str, Any]]) -> list[str]:
"""Extract event type strings from parsed SSE events."""
return [e["event"] for e in events]
# ---------------------------------------------------------------------------
# Tests — basic text input
# ---------------------------------------------------------------------------
class TestBasicText:
"""Simple text-in / text-out round trips."""
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_simple_text_non_streaming(self, server: ResponsesHostServer) -> None:
"""Non-streaming: send a text prompt and get a completed response."""
resp = await _post_json(
server,
{
"input": "Say hello in exactly three words.",
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
# There should be exactly one output item with text
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
text_parts = [c for c in output_messages[0]["content"] if c["type"] == "output_text"]
assert len(text_parts) >= 1
assert len(text_parts[0]["text"]) > 0
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_simple_text_streaming(self, server: ResponsesHostServer) -> None:
"""Streaming: send a text prompt and verify SSE lifecycle events."""
resp = await _post_json(
server,
{
"input": "Say hello in exactly three words.",
"stream": True,
},
)
assert resp.status_code == 200
assert "text/event-stream" in resp.headers["content-type"]
events = _parse_sse_events(resp.text)
types = _sse_event_types(events)
assert types[0] == "response.created"
assert types[1] == "response.in_progress"
assert types[-1] == "response.completed"
assert "response.output_text.delta" in types
assert "response.output_text.done" in types
# The done event should have accumulated text
done_events = [e for e in events if e["event"] == "response.output_text.done"]
assert len(done_events) >= 1
assert len(done_events[0]["data"]["text"]) > 0
# ---------------------------------------------------------------------------
# Tests — structured content input
# ---------------------------------------------------------------------------
class TestStructuredContentInput:
"""Structured content arrays: text + images, text + files."""
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_text_array_input(self, server: ResponsesHostServer) -> None:
"""Multiple input_text parts in one message."""
resp = await _post_json(
server,
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "My name is Alice."},
{"type": "input_text", "text": "What is my name?"},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
# The response should mention Alice
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"]
assert "alice" in output_text.lower()
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_input_image_url(self, server: ResponsesHostServer) -> None:
"""Send an image via URL and ask the model about it."""
resp = await _post_json(
server,
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "What animal is in this image? Reply in one word."},
{
"type": "input_image",
"image_url": "https://cdn.pixabay.com/photo/2024/02/28/07/42/european-shorthair-8601492_640.jpg",
},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"].lower()
assert "cat" in output_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_input_image_file_data(self, server: ResponsesHostServer) -> None:
"""Send a local image file as inline base64 data URI."""
image_path = Path(__file__).resolve().parent / "test_assets" / "sample_image.jpg" # noqa: ASYNC240
image_bytes = image_path.read_bytes()
b64 = base64.b64encode(image_bytes).decode()
data_uri = f"data:image/jpeg;base64,{b64}"
resp = await _post_json(
server,
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "What animal is in this image? Reply in one word."},
{"type": "input_image", "image_url": data_uri},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"].lower()
assert "cat" in output_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_input_file_data(self, server: ResponsesHostServer) -> None:
"""Send a small text file as inline file_data (base64 data URI)."""
text_content = "The capital of France is Paris."
b64 = base64.b64encode(text_content.encode()).decode()
data_uri = f"data:text/plain;base64,{b64}"
resp = await _post_json(
server,
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "What is the capital mentioned in the attached file?"},
{"type": "input_file", "file_data": data_uri, "filename": "info.txt"},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"].lower()
assert "paris" in output_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_input_pdf_file_data(self, server: ResponsesHostServer) -> None:
"""Send a real PDF file as inline file_data (base64 data URI)."""
pdf_path = Path(__file__).resolve().parent / "test_assets" / "sample.pdf" # noqa: ASYNC240
pdf_bytes = pdf_path.read_bytes()
b64 = base64.b64encode(pdf_bytes).decode()
data_uri = f"data:application/pdf;base64,{b64}"
resp = await _post_json(
server,
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{"type": "input_text", "text": "Summarize this PDF in one sentence."},
{"type": "input_file", "file_data": data_uri, "filename": "sample.pdf"},
],
}
],
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"]
assert "microsoft" in output_text.lower()
# ---------------------------------------------------------------------------
# Tests — multi-turn conversations
# ---------------------------------------------------------------------------
class TestMultiTurn:
"""Multi-round conversations using previous_response_id."""
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_two_turn_conversation(self, server: ResponsesHostServer) -> None:
"""Turn 1: introduce context. Turn 2: ask about it using previous_response_id."""
# Turn 1
resp1 = await _post_json(
server,
{
"input": "My favorite color is blue. Remember that.",
"stream": False,
},
)
assert resp1.status_code == 200
body1 = resp1.json()
assert body1["status"] == "completed"
response_id_1 = body1["id"]
# Turn 2 — references turn 1
resp2 = await _post_json(
server,
{
"input": "What is my favorite color?",
"stream": False,
"previous_response_id": response_id_1,
},
)
assert resp2.status_code == 200
body2 = resp2.json()
assert body2["status"] == "completed"
output_messages = [o for o in body2["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"].lower()
assert "blue" in output_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_three_turn_conversation(self, server: ResponsesHostServer) -> None:
"""Three sequential turns to verify history accumulates correctly."""
# Turn 1
resp1 = await _post_json(
server,
{
"input": "I have a pet dog named Max.",
"stream": False,
},
)
assert resp1.status_code == 200
id1 = resp1.json()["id"]
# Turn 2
resp2 = await _post_json(
server,
{
"input": "I also have a cat named Luna.",
"stream": False,
"previous_response_id": id1,
},
)
assert resp2.status_code == 200
id2 = resp2.json()["id"]
# Turn 3 — should remember both pets
resp3 = await _post_json(
server,
{
"input": "What are my pets' names?",
"stream": False,
"previous_response_id": id2,
},
)
assert resp3.status_code == 200
body3 = resp3.json()
output_messages = [o for o in body3["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"].lower()
assert "max" in output_text
assert "luna" in output_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_multi_turn_streaming(self, server: ResponsesHostServer) -> None:
"""Multi-turn conversation with streaming on the second turn."""
# Turn 1 — non-streaming
resp1 = await _post_json(
server,
{
"input": "My favorite number is 42.",
"stream": False,
},
)
assert resp1.status_code == 200
id1 = resp1.json()["id"]
# Turn 2 — streaming
resp2 = await _post_json(
server,
{
"input": "What is my favorite number?",
"stream": True,
"previous_response_id": id1,
},
)
assert resp2.status_code == 200
assert "text/event-stream" in resp2.headers["content-type"]
events = _parse_sse_events(resp2.text)
types = _sse_event_types(events)
assert types[0] == "response.created"
assert types[-1] == "response.completed"
assert "response.output_text.done" in types
done_events = [e for e in events if e["event"] == "response.output_text.done"]
assert "42" in done_events[0]["data"]["text"]
# ---------------------------------------------------------------------------
# Tests — tool calling
# ---------------------------------------------------------------------------
class TestToolCalling:
"""Tests that verify function-tool round trips through the hosting layer."""
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_tool_call_non_streaming(self, server_with_tools: ResponsesHostServer) -> None:
"""Agent invokes a tool and returns a final answer (non-streaming)."""
resp = await _post_json(
server_with_tools,
{
"input": "What is the weather in Seattle?",
"stream": False,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
# The output should contain the final text referencing the weather
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
final_text = output_messages[0]["content"][0]["text"].lower()
assert "72" in final_text or "sunny" in final_text or "seattle" in final_text
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_tool_call_streaming(self, server_with_tools: ResponsesHostServer) -> None:
"""Agent invokes a tool and returns a final answer (streaming)."""
resp = await _post_json(
server_with_tools,
{
"input": "What is the weather in Seattle?",
"stream": True,
},
)
assert resp.status_code == 200
assert "text/event-stream" in resp.headers["content-type"]
events = _parse_sse_events(resp.text)
types = _sse_event_types(events)
assert types[0] == "response.created"
assert types[-1] == "response.completed"
# Should have text output with the weather info
done_events = [e for e in events if e["event"] == "response.output_text.done"]
assert len(done_events) >= 1
final_text = done_events[-1]["data"]["text"].lower()
assert "72" in final_text or "sunny" in final_text or "seattle" in final_text
# ---------------------------------------------------------------------------
# Tests — options passthrough
# ---------------------------------------------------------------------------
class TestOptions:
"""Verify chat options are passed through to the model."""
@pytest.mark.flaky
@pytest.mark.integration
@skip_if_foundry_hosting_integration_tests_disabled
async def test_temperature_and_max_tokens(self, server: ResponsesHostServer) -> None:
"""Set temperature and max_output_tokens and verify the response succeeds."""
resp = await _post_json(
server,
{
"input": "Say hello briefly.",
"stream": False,
"max_output_tokens": 50,
},
)
assert resp.status_code == 200
body = resp.json()
assert body["status"] == "completed"
output_messages = [o for o in body["output"] if o["type"] == "message"]
assert len(output_messages) == 1
output_text = output_messages[0]["content"][0]["text"]
assert len(output_text) > 0
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Foundry Local integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"agent-framework-openai>=1.1.0,<2",
"foundry-local-sdk>=0.5.1,<0.5.2",
]
+3 -3
View File
@@ -4,7 +4,7 @@ description = "Google Gemini integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0a260428"
version = "1.0.0a260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,8 +24,8 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2.0",
"google-genai>=1.65.0,<2.0.0",
"agent-framework-core>=1.2.0,<2.0",
"google-genai>=1.0.0,<2.0.0",
]
[tool.uv]
@@ -4,7 +4,7 @@ description = "GitHub Copilot integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"github-copilot-sdk>=0.2.1,<=0.2.1; python_version >= '3.11'",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Hyperlight CodeAct integrations for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0a260428"
version = "1.0.0a260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"hyperlight-sandbox>=0.3.0,<0.4",
"hyperlight-sandbox-backend-wasm>=0.3.0,<0.4 ; ((sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine == 'AMD64')) and python_version < '3.14'",
"hyperlight-sandbox-python-guest>=0.3.0,<0.4",
+5 -5
View File
@@ -4,7 +4,7 @@ description = "Experimental modules for Microsoft Agent Framework"
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
"Programming Language :: Python :: 3.14",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
]
[project.optional-dependencies]
@@ -57,9 +57,9 @@ math = [
[dependency-groups]
dev = [
"uv==0.11.6",
"uv==0.11.3",
"ruff==0.15.8",
"pytest==9.0.3",
"pytest==9.0.2",
"mypy==1.20.0",
"pyright==1.1.408",
#tasks
@@ -69,7 +69,7 @@ dev = [
"tomli-w==1.2.0",
# tau2 from source (not available on PyPI)
"tau2@ git+https://github.com/sierra-research/tau2-bench@5ba9e3e56db57c5e4114bf7f901291f09b2c5619",
"prek==0.3.9",
"prek==0.3.8",
]
[project.scripts]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Mem0 integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"mem0ai>=1.0.0,<2",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Ollama integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://learn.microsoft.com/en-us/agent-framework/"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"ollama>=0.5.3,<0.5.4",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "OpenAI integrations for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.2.1"
version = "1.2.0"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"openai>=1.99.0,<3",
]
@@ -4,7 +4,7 @@ description = "Orchestration patterns for Microsoft Agent Framework. Includes Se
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
]
[tool.uv]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Microsoft Purview (Graph dataSecurityAndGovernance) integration f
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://github.com/microsoft/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,7 +24,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"azure-core>=1.30.0,<2",
"httpx>=0.27.0,<0.29",
]
+2 -2
View File
@@ -4,7 +4,7 @@ description = "Redis integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0b260428"
version = "1.0.0b260424"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core>=1.2.1,<2",
"agent-framework-core>=1.2.0,<2",
"redis>=6.4.0,<7.2.1",
"redisvl>=0.11.0,<0.16",
"numpy>=2.2.6,<3"
+6 -6
View File
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.2.1"
version = "1.2.0"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,15 +23,15 @@ classifiers = [
"Typing :: Typed",
]
dependencies = [
"agent-framework-core[all]==1.2.1",
"agent-framework-core[all]==1.2.0",
]
[dependency-groups]
dev = [
"uv==0.11.6",
"uv==0.11.3",
"flit==3.12.0",
"ruff==0.15.8",
"pytest==9.0.3",
"pytest==9.0.2",
"pytest-asyncio==1.3.0",
"pytest-cov==7.1.0",
"pytest-xdist[psutil]==3.8.0",
@@ -44,9 +44,9 @@ dev = [
"azure-monitor-opentelemetry==1.8.7",
#tasks
"poethepoet==0.42.1",
"rich>=13.7.1,<16.0.0",
"rich>=13.7.1,<15.0.0",
"tomli==2.4.1",
"prek==0.3.9",
"prek==0.3.8",
]
[tool.uv]
@@ -37,8 +37,6 @@ async def poem_workflow(topic: str) -> str:
poem = (await writer.run(f"Write a poem about: {topic}")).text
review = (await reviewer.run(f"Review this poem: {poem}")).text
return f"Poem:\n{poem}\n\nReview: {review}"
# </create_workflow>
@@ -36,8 +36,6 @@ async def text_workflow(text: str) -> str:
"""Uppercase the text, then reverse it."""
upper = await to_upper_case(text)
return await reverse_text(upper)
# </create_workflow>
@@ -1,8 +0,0 @@
# Azure AI Foundry Configuration (required for a2a_server.py and a2a_agent_as_function_tools.py)
FOUNDRY_PROJECT_ENDPOINT=https://your-project.services.ai.azure.com/api/projects/your-project
FOUNDRY_MODEL=gpt-4o
# A2A Client Configuration (required for agent_with_a2a.py and a2a_agent_as_function_tools.py)
# The function-tools flow uses http://localhost:5000/ in the sample docs/output.
# Update this value if you start a different local A2A server instance on another port.
A2A_AGENT_HOST=http://localhost:5000/
-25
View File
@@ -42,33 +42,8 @@ All commands below should be run from this directory:
cd python/samples/04-hosting/a2a
```
### 0. Install Dependencies
Copy `.env.example` to `.env` and fill in your values:
```powershell
copy .env.example .env
```
**Option A — pip (standard):**
```powershell
python -m venv .venv
.venv\Scripts\Activate.ps1 # Windows
# source .venv/bin/activate # macOS / Linux
pip install -r requirements.txt
```
**Option B — uv:**
```powershell
uv run python a2a_server.py --agent-type policy
```
### 1. Start the A2A Server
> **Note (Option A — pip users):** Replace `uv run python` with `python` in all `uv run` commands below (e.g. `python a2a_server.py ...`). `uv` is not required once the virtual environment is activated.
Pick an agent type and start the server (each in its own terminal):
```powershell
@@ -51,7 +51,7 @@ if __name__ == "__main__":
agent = Agent(
client=OpenAIChatClient(),
name="Europe Travel Agent",
instructions="You are a helpful Europe Travel Agent. You can help users search and book flights and hotels across Europe.",
instructions="You are a helpful Europe Travel Agent. You can help users search and book flights and hotels across Europe."
)
request_handler = DefaultRequestHandler(
@@ -1,23 +0,0 @@
# Agent Framework packages
# To use the deployed version, uncomment the lines below and comment out the local installation lines
# agent-framework-a2a
# agent-framework-foundry
# Local installation (for development and testing)
# Each package must be listed explicitly because pip doesn't resolve uv workspace sources.
# Without explicit entries, pip would fetch transitive dependencies from PyPI instead of local source.
-e ../../../packages/core # Core framework - base dependency for all packages
-e ../../../packages/foundry # Foundry support - dependency for FoundryChatClient in a2a_server.py
-e ../../../packages/a2a # A2A integration - provides A2AAgent and a2a-sdk
# Azure authentication
azure-identity
# A2A server runtime
uvicorn
# HTTP client used by A2A client samples
httpx
# Environment variable loading
python-dotenv
@@ -1,139 +1,12 @@
# Foundry Hosted Agent Samples
# Foundry Hosted Agents Samples
This directory contains samples that demonstrate how to use hosted [Agent Framework](https://github.com/microsoft/agent-framework) agents with different capabilities and configurations on Foundry using the Foundry Hosting Agent service. Each sample includes a README with instructions on how to set up, run, and interact with the agent.
This directory contains samples that demonstrate how to use the Agent Framework to host agents on Foundry with different capabilities and configurations. Each sample includes a README with instructions on how to set up, run, and interact with the agent.
## Samples
Read more about Foundry Hosted Agents [here](https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/hosted-agents).
### Responses API
## Environment setup
| # | Sample | Description |
|---|--------|-------------|
| 1 | [Basic](responses/01_basic/) | A minimal agent demonstrating basic request/response interaction and multi-turn conversations using `previous_response_id`. |
| 2 | [Tools](responses/02_tools/) | An agent with local tools (e.g., weather lookup), demonstrating how to register and invoke custom tool functions alongside the LLM. |
| 3 | [MCP](responses/03_mcp/) | An agent connected to a remote MCP server (GitHub), demonstrating external MCP tool provider integration. |
| 4 | [Foundry Toolbox](responses/04_foundry_toolbox/) | An agent using Azure Foundry Toolbox, demonstrating toolbox provisioning and querying available tools at runtime. |
| 5 | [Workflows](responses/05_workflows/) | An agent with a multi-step orchestrated workflow, demonstrating chaining prompts through an orchestrated flow. |
| 6 | [Using deployed agent](responses/using_deployed_agent.py) | A sample demonstrating how to invoke an agent that has already been deployed to Foundry, showing how to interact with a hosted agent in code. |
### Invocations API
| # | Sample | Description |
|---|--------|-------------|
| 1 | [Basic](invocations/01_basic/) | A minimal agent demonstrating session state management via `agent_session_id` in URL params/response headers. |
| 2 | [Break Glass](invocations/02_break_glass/) | An agent demonstrating a "break glass" scenario where customizations of the API behaviors are needed, allowing for more direct control over how requests and responses are handled by the hosting layer. |
## Running the Agent Host Locally
### Using `azd`
#### Prerequisites
1. **Azure Developer CLI (`azd`)**
- [Install azd](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd) and the AI agent extension: `azd ext install azure.ai.agents`
- Authenticated: `azd auth login`
2. **Azure Subscription**
#### Create a new project
**No cloning required**. Create a new folder, point azd at the manifest on GitHub.
```bash
mkdir hosted-agent-framework-agent && cd hosted-agent-framework-agent
# Initialize from the manifest
azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/python/samples/04-hosting/foundry-hosted-agents/responses/01_basic/agent.manifest.yaml
```
Follow the instructions from `azd ai agent init` to complete the agent initialization. If you don't have an existing Foundry project and a model deployment, `azd ai agent init` will guide you through creating them.
#### Provision Azure Resources
> This step is only needed if you don't have an existing Foundry project and model deployment.
Run the following command to provision the necessary Azure resources:
```bash
azd provision
```
This will create the following Azure resources:
- A new resource group named `rg-[project_name]-dev`. In this guide, `[project_name]` will be `hosted-agent-framework-agent`.
- Within the resource group, among other resources, the most important ones are:
- A new Foundry instance
- A new Foundry project, within which a new model deployment will be created
- An Application Insights instance
- A container registry, which will be used to store the container images for the hosted agent
#### Set Environment Variables
```bash
export FOUNDRY_PROJECT_ENDPOINT="https://<account>.services.ai.azure.com/api/projects/<project>"
export AZURE_AI_MODEL_DEPLOYMENT_NAME="<your-model-deployment-name>"
# And any other environment variables required by the sample
```
Or in PowerShell:
```powershell
$env:FOUNDRY_PROJECT_ENDPOINT="https://<account>.services.ai.azure.com/api/projects/<project>"
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="<your-model-deployment-name>"
# And any other environment variables required by the sample
```
> Note: The environment variables set above are only for the current session. You will need to set them again if you open a new terminal session. if you want to set the environment variables permanently in the azd environment, you can use `azd env set <name> <value>`.
#### Running the Agent Host
```bash
azd ai agent run
```
Right now, the agent host should be running on `http://localhost:8088`
#### Invoking the Agent
Open another terminal, **navigate to the project directory**, and run the following command to invoke the agent:
```bash
azd ai agent invoke --local "Hello!"
```
Or you can in another terminal, without navigating to the project directory, run the following command to invoke the agent:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Hello!"}'
```
Or in PowerShell:
```powershell
(Invoke-WebRequest -Uri http://localhost:8088/responses -Method POST -ContentType "application/json" -Body '{"input": "Hello!"}').Content
```
### Using `python`
#### Prerequisites
1. An existing Foundry project
2. A deployed model in your Foundry project
3. Azure CLI installed and authenticated
4. Python 3.10 or later
#### Running the Agent Host with Python
Clone the repository containing the sample code:
```bash
git clone https://github.com/microsoft/agent-framework.git
cd agent-framework/python/samples/04-hosting/foundry-hosted-agents/responses
```
#### Environment setup
1. Navigate to the sample directory you want to explore. Create a virtual environment:
1. Navigate to the sample directory you want to run. For example:
```bash
python -m venv .venv
@@ -159,58 +32,25 @@ cd agent-framework/python/samples/04-hosting/foundry-hosted-agents/responses
az login
```
#### Running the Agent Host
## Deploying to a Docker container
Navigate to the sample directory and build the Docker image:
```bash
python main.py
docker build -t hosted-agent-sample .
```
Right now, the agent host should be running on `http://localhost:8088`
#### Invoking the Agent
On another terminal, run the following command to invoke the agent:
Run the container, passing in the required environment variables:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Hello!"}'
docker run -p 8088:8088 \
-e FOUNDRY_PROJECT_ENDPOINT=<your-endpoint> \
-e MODEL_DEPLOYMENT_NAME=<your-model> \
hosted-agent-sample
```
Or in PowerShell:
The server will be available at `http://localhost:8088`. You can send requests using the same `curl` command shown above.
```powershell
(Invoke-WebRequest -Uri http://localhost:8088/responses -Method POST -ContentType "application/json" -Body '{"input": "Hello!"}').Content
```
## Deploying to Foundry
## Deploying the Agent to Foundry
Once you've tested locally, deploy to Microsoft Foundry.
### With an Existing Foundry Project
If you already have a Foundry project and the necessary Azure resources provisioned, you can skip the setup steps and proceed directly to deploying the agent.
After running `azd ai agent init -m <agent.manifest.yaml>` and following the prompts to configure your agent, you will have a project ready for deployment.
### Setting Up a New Foundry Project
Follow the steps in [Using `azd`](#using-azd) to set up the project and provision the necessary Azure resources for your Foundry deployment.
### Deploying the Agent
Once the project is setup and resources are provisioned, you can deploy the agent to Foundry by running:
```bash
azd deploy
```
> The Foundry hosting infrastructure will inject the following environment variables into your agent at runtime:
>
> - `FOUNDRY_PROJECT_ENDPOINT`: The endpoint URL for the Foundry project where the agent is deployed.
> - `AZURE_AI_MODEL_DEPLOYMENT_NAME`: The name of the model deployment in your Foundry project. This is configured during the agent initialization process with `azd ai agent init`.
> - `APPLICATIONINSIGHTS_CONNECTION_STRING`: The connection string for Application Insights to enable telemetry for your agent.
This will package your agent and deploy it to the Foundry environment, making it accessible through the Foundry project endpoint. Once it's deployed, you can also access the agent through the Foundry UI.
For the full deployment guide, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
Once deployed, learn more about how to manage deployed agents in the [official management guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/manage-hosted-agent).
Follow this [guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent?tabs=bash#configure-your-agent) to deploy your agent to Foundry.
@@ -1,2 +1,2 @@
FOUNDRY_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
MODEL_DEPLOYMENT_NAME="..."
@@ -1,26 +1,18 @@
# What this sample demonstrates
# Basic example of hosting an agent with the `invocations` API
An [Agent Framework](https://github.com/microsoft/agent-framework) agent hosted using the **Invocations protocol** with session management. Unlike the Responses protocol, the Invocations protocol does **not** provide built-in server-side conversation history — this agent maintains an in-memory session store keyed by `agent_session_id`. In production, replace it with durable storage (Redis, Cosmos DB, etc.) so history survives restarts.
## Running the server locally
## How It Works
### Environment setup
### Model Integration
Follow the instructions in the [Environment setup](../../README.md#environment-setup) section of the README in the parent directory to set up your environment and install dependencies.
The agent uses `FoundryChatClient` from the Agent Framework to create a Responses client from the project endpoint and model deployment. When a request arrives, the handler looks up (or creates) a session by `session_id`, runs the agent with the user message and session context, and returns the reply. The agent supports both streaming (SSE events) and non-streaming (JSON) response modes.
Run the following command to start the server:
See [main.py](main.py) for the full implementation.
```bash
python main.py
```
### Agent Hosting
The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `InvocationsHostServer`, which provisions a REST API endpoint compatible with the Azure AI Invocations protocol.
## Running the Agent Host
Follow the instructions in the [Running the Agent Host Locally](../../README.md#running-the-agent-host-locally) section of the README in the parent directory to run the agent host.
## Interacting with the agent
> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
### Interacting with the agent
Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
@@ -30,7 +22,7 @@ curl -X POST http://localhost:8088/invocations -i -H "Content-Type: application/
The server will respond with a JSON object containing the response text. The `-i` flag in the `curl` command includes the HTTP response headers in the output, which includes the session ID that can be used for multi-turn conversations. Here is an example of the response:
```
```bash
HTTP/1.1 200
content-length: 34
content-type: application/json
@@ -50,7 +42,3 @@ To have a multi-turn conversation with the agent, take the session ID from the r
```bash
curl -X POST http://localhost:8088/invocations?agent_session_id=9370b9d4-cd13-4436-a57f-03b843ac0e17 -i -H "Content-Type: application/json" -d '{"message": "How are you?"}'
```
## Deploying the Agent to Foundry
To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.
@@ -15,9 +15,9 @@ template:
- protocol: invocations
version: 1.0.0
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
- name: MODEL_DEPLOYMENT_NAME
value: "{{MODEL_DEPLOYMENT_NAME}}"
resources:
- kind: model
id: gpt-4.1-mini
name: AZURE_AI_MODEL_DEPLOYMENT_NAME
name: MODEL_DEPLOYMENT_NAME
@@ -6,4 +6,4 @@ protocols:
version: 1.0.0
resources:
cpu: '0.25'
memory: '0.5Gi'
memory: '0.5Gi'
@@ -5,7 +5,7 @@ import os
from agent_framework import Agent
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import InvocationsHostServer
from azure.identity import DefaultAzureCredential
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
# Load environment variables from .env file
@@ -15,8 +15,8 @@ load_dotenv()
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
model=os.environ["MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
agent = Agent(
@@ -1,2 +1,2 @@
FOUNDRY_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
MODEL_DEPLOYMENT_NAME="..."
@@ -1,26 +1,20 @@
# What this sample demonstrates
# Basic example of hosting an agent with the `invocations` API
An [Agent Framework](https://github.com/microsoft/agent-framework) agent hosted using the **Invocations protocol** with session management. Unlike the Responses protocol, the Invocations protocol does **not** provide built-in server-side conversation history — this agent maintains an in-memory session store keyed by `agent_session_id`. In production, replace it with durable storage (Redis, Cosmos DB, etc.) so history survives restarts.
This is the same as the [01_basic](../01_basic/README.md) example, but demonstrates the "break glass" scenario where you can create your own `invoke_handler` to handle specific types of invocations. This is useful when you want to override the default behavior for certain requests or add custom processing logic.
## How It Works
## Running the server locally
### Model Integration
### Environment setup
The agent uses `FoundryChatClient` from the Agent Framework to create a Responses client from the project endpoint and model deployment. When a request arrives, the handler looks up (or creates) a session by `session_id`, runs the agent with the user message and session context, and returns the reply. The agent supports both streaming (SSE events) and non-streaming (JSON) response modes.
Follow the instructions in the [Environment setup](../../README.md#environment-setup) section of the README in the parent directory to set up your environment and install dependencies.
See [main.py](main.py) for the full implementation.
Run the following command to start the server:
### Agent Hosting
```bash
python main.py
```
The agent is hosted using the [Azure AI AgentServer Invocations SDK](https://pypi.org/project/azure-ai-agentserver-invocations/) (`InvocationAgentServerHost`), which provisions a REST API endpoint compatible with the Azure AI Invocations protocol.
## Running the Agent Host
Follow the instructions in the [Running the Agent Host Locally](../../README.md#running-the-agent-host-locally) section of the README in the parent directory to run the agent host.
## Interacting with the agent
> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
### Interacting with the agent
Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
@@ -30,7 +24,7 @@ curl -X POST http://localhost:8088/invocations -i -H "Content-Type: application/
The server will respond with a JSON object containing the response text. The `-i` flag in the `curl` command includes the HTTP response headers in the output, which includes the session ID that can be used for multi-turn conversations. Here is an example of the response:
```
```bash
HTTP/1.1 200
content-length: 34
content-type: application/json
@@ -50,7 +44,3 @@ To have a multi-turn conversation with the agent, take the session ID from the r
```bash
curl -X POST http://localhost:8088/invocations?agent_session_id=9370b9d4-cd13-4436-a57f-03b843ac0e17 -i -H "Content-Type: application/json" -d '{"message": "How are you?"}'
```
## Deploying the Agent to Foundry
To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.
@@ -15,9 +15,9 @@ template:
- protocol: invocations
version: 1.0.0
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
- name: MODEL_DEPLOYMENT_NAME
value: "{{MODEL_DEPLOYMENT_NAME}}"
resources:
- kind: model
id: gpt-4.1-mini
name: AZURE_AI_MODEL_DEPLOYMENT_NAME
name: MODEL_DEPLOYMENT_NAME
@@ -6,4 +6,4 @@ protocols:
version: 1.0.0
resources:
cpu: '0.25'
memory: '0.5Gi'
memory: '0.5Gi'
@@ -22,7 +22,7 @@ _sessions: dict[str, AgentSession] = {}
# Create the agent
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
)
@@ -0,0 +1,8 @@
# Hosting agents with Foundry Hosting and the `invocations` API
This folder contains a list of samples that show how to host agents using the `invocations` API and deploy them to Foundry Hosting.
| Sample | Description |
| --- | --- |
| [01_basic](./01_basic) | A basic example of hosting an agent with the `invocations` API and carrying on a multi-turn conversation. |
| [02_break_glass](./02_break_glass) | An example of hosting an agent with the `invocations` API and a "break glass" scenario where you can create your own `invoke_handler` to handle specific types of invocations. |
@@ -1,2 +1,2 @@
FOUNDRY_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
MODEL_DEPLOYMENT_NAME="..."
@@ -1,39 +1,31 @@
# What this sample demonstrates
# Basic example of hosting an agent with the `responses` API
An [Agent Framework](https://github.com/microsoft/agent-framework) agent hosted using the **Responses protocol**.
This agent only contains an instruction (personal). It's the most basic agent with an LLM and no tools.
## How It Works
## Running the server locally
### Model Integration
### Environment setup
The agent uses `FoundryChatClient` from the Agent Framework to create a Responses client from the project endpoint and model deployment. The agent supports both streaming (SSE events) and non-streaming (JSON) response modes.
Follow the instructions in the [Environment setup](../../README.md#environment-setup) section of the README in the parent directory to set up your environment and install dependencies.
See [main.py](main.py) for the full implementation.
Run the following command to start the server:
### Agent Hosting
The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol.
```bash
python main.py
```
## Interacting with the agent
> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
Send a POST request to the server with a JSON body containing an `"input"` field to interact with the agent. For example:
Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Hi"}'
```
The server will respond with a JSON object containing the response text and a response ID. You can use this response ID to continue the conversation in subsequent requests.
### Multi-turn conversation
## Multi-turn conversation
To have a multi-turn conversation with the agent, include the previous response id in the request body. For example:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "How are you?", "previous_response_id": "REPLACE_WITH_PREVIOUS_RESPONSE_ID"}'
```
## Deploying the Agent to Foundry
To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.
@@ -1,4 +1,4 @@
name: agent-framework-agent-basic-responses
name: agent-framework-agent-basic
description: >
A basic Agent Framework agent hosted by Foundry.
metadata:
@@ -9,15 +9,15 @@ metadata:
- Responses Protocol
- Streaming
template:
name: agent-framework-agent-basic-responses
name: agent-framework-agent-basic
kind: hosted
protocols:
- protocol: responses
version: 1.0.0
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
- name: MODEL_DEPLOYMENT_NAME
value: "{{MODEL_DEPLOYMENT_NAME}}"
resources:
- kind: model
id: gpt-4.1-mini
name: AZURE_AI_MODEL_DEPLOYMENT_NAME
name: MODEL_DEPLOYMENT_NAME
@@ -1,9 +1,8 @@
# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
kind: hosted
name: agent-framework-agent-basic-responses
name: agent-framework-agent-basic
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: '0.25'
memory: '0.5Gi'
cpu: "0.25"
memory: 0.5Gi
@@ -5,7 +5,7 @@ import os
from agent_framework import Agent
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer
from azure.identity import DefaultAzureCredential
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
# Load environment variables from .env file
@@ -15,8 +15,8 @@ load_dotenv()
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
model=os.environ["MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
agent = Agent(
@@ -0,0 +1,2 @@
FOUNDRY_PROJECT_ENDPOINT="..."
MODEL_DEPLOYMENT_NAME="..."
@@ -0,0 +1,27 @@
# Basic example of hosting an agent with the `responses` API and local tools
This agent is equipped with a function tool and a local shell tool.
> We recommend deploying this sample on a local container or to Foundry Hosting because the agent has access to a local shell tool, which can run arbitrary commands on the machine.
## Running the server locally
### Environment setup
Follow the instructions in the [Environment setup](../../README.md#environment-setup) section of the README in the parent directory to set up your environment and install dependencies.
Run the following command to start the server:
```bash
python main.py
```
## Interacting with the agent
Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "What is the weather in Seattle?"}'
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "List the files in the current directory."}'
```
@@ -1,4 +1,4 @@
name: agent-framework-agent-with-local-tools-responses
name: agent-framework-agent-with-local-tools
description: >
An Agent Framework agent with local tools hosted by Foundry.
metadata:
@@ -9,15 +9,15 @@ metadata:
- Responses Protocol
- Streaming
template:
name: agent-framework-agent-with-local-tools-responses
name: agent-framework-agent-with-local-tools
kind: hosted
protocols:
- protocol: responses
version: 1.0.0
environment_variables:
- name: AZURE_AI_MODEL_DEPLOYMENT_NAME
value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
- name: MODEL_DEPLOYMENT_NAME
value: "{{MODEL_DEPLOYMENT_NAME}}"
resources:
- kind: model
id: gpt-4.1-mini
name: AZURE_AI_MODEL_DEPLOYMENT_NAME
name: MODEL_DEPLOYMENT_NAME
@@ -1,5 +1,5 @@
kind: hosted
name: agent-framework-agent-with-local-tools-responses
name: agent-framework-agent-with-local-tools
protocols:
- protocol: responses
version: 1.0.0
@@ -8,7 +8,7 @@ from typing import Annotated
from agent_framework import Agent, tool
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer
from azure.identity import DefaultAzureCredential
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
from pydantic import Field
@@ -52,8 +52,8 @@ def run_bash(command: str) -> str:
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
model=os.environ["MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
agent = Agent(
@@ -1,2 +0,0 @@
FOUNDRY_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
@@ -1,33 +0,0 @@
# What this sample demonstrates
An [Agent Framework](https://github.com/microsoft/agent-framework) agent with **locally-defined Python tools** hosted using the **Responses protocol**. It shows how to define custom tools with the `@tool` decorator and register them with the agent so the model can call them during a conversation.
## How It Works
### Model Integration
The agent uses `FoundryChatClient` from the Agent Framework to create a Responses client from the project endpoint and model deployment. The agent supports both streaming (SSE events) and non-streaming (JSON) response modes.
See [main.py](main.py) for the full implementation.
### Agent Hosting
The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol.
## Running the Agent Host
Follow the instructions in the [Running the Agent Host Locally](../../README.md#running-the-agent-host-locally) section of the README in the parent directory to run the agent host.
## Interacting with the agent
> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
Send a POST request to the server with a JSON body containing an `"input"` field to interact with the agent. For example:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "What is the weather in Seattle?"}'
```
## Deploying the Agent to Foundry
To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.
@@ -1,33 +0,0 @@
# What this sample demonstrates
An [Agent Framework](https://github.com/microsoft/agent-framework) agent that connects to a **remote MCP server** (GitHub) for tool discovery and hosted using the **Responses protocol**. Instead of defining tools locally, the agent discovers and invokes tools at runtime from an MCP-compatible endpoint — in this case, the GitHub Copilot MCP server. This enables dynamic tool integration without redeployment.
## How It Works
### Model Integration
The agent uses `FoundryChatClient` from the Agent Framework to create an OpenAI-compatible Responses client. It registers a remote MCP tool pointing at `https://api.githubcopilot.com/mcp/`, authenticating with a GitHub Personal Access Token (PAT). When the model decides to call a tool, the framework forwards the call to the MCP server and returns the result to the model for the final reply.
See [main.py](main.py) for the full implementation.
### Agent Hosting
The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol.
## Running the Agent Host
Follow the instructions in the [Running the Agent Host Locally](../../README.md#running-the-agent-host-locally) section of the README in the parent directory to run the agent host.
## Interacting with the agent
> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
Send a POST request to the server with a JSON body containing an `"input"` field to interact with the agent. For example:
```bash
curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "List all the repositories I own on GitHub."}'
```
## Deploying the Agent to Foundry
To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.
@@ -1,11 +0,0 @@
kind: hosted
name: agent-framework-agent-with-remote-mcp-tools-responses
protocols:
- protocol: responses
version: 1.0.0
resources:
cpu: "0.25"
memory: 0.5Gi
environment_variables:
- name: GITHUB_PAT
value: ${GITHUB_PAT}
@@ -1,56 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
import logging
import os
from agent_framework import Agent, ToolTypes
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer
from azure.identity import DefaultAzureCredential
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
logger = logging.getLogger(__name__)
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
)
github_pat = os.environ["GITHUB_PAT"]
tools: list[ToolTypes] = []
if not github_pat:
logger.warning("GITHUB_PAT environment variable is not set. The GitHub MCP tool will not get registered.")
else:
tools.append(
client.get_mcp_tool(
name="GitHub",
url="https://api.githubcopilot.com/mcp/",
headers={
"Authorization": f"Bearer {github_pat}",
},
approval_mode="never_require",
)
)
agent = Agent(
client=client,
instructions="You are a friendly assistant. Keep your answers brief.",
tools=tools,
# History will be managed by the hosting infrastructure, thus there
# is no need to store history by the service. Learn more at:
# https://developers.openai.com/api/reference/resources/responses/methods/create
default_options={"store": False},
)
server = ResponsesHostServer(agent)
server.run()
if __name__ == "__main__":
main()
@@ -1,3 +1,4 @@
FOUNDRY_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
MODEL_DEPLOYMENT_NAME="..."
TOOLBOX_NAME="..."
GITHUB_PAT="..."

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