Python: bump package versions for 1.8.1 release (#6420)

* Python: bump package versions for 1.8.1 release

* Python: bump agent-framework-foundry-hosting for 1.8.1 release

* Python: bump ag-ui and azurefunctions for 1.8.1 release

* Remove incorrect agent-framework-foundry changelog entry for #6259

* Add [1.8.1] changelog compare link and update [Unreleased] base

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>

dotnet/samples/04-hosting/FoundryHostedAgents/invocations/Hosted-Invocations-EchoAgent/README.md

@@ -71,6 +71,34 @@ curl -X POST http://localhost:8088/invocations \
   -d "Hello from Docker!"
 ```
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-invocations-echo-agent && cd hosted-invocations-echo-agent
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/invocations/Hosted-Invocations-EchoAgent/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-invocations-echo-agent
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `Hosted-Invocations-EchoAgent.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/README.md

@@ -107,3 +107,29 @@ azd env set SKILL_NAMES "support-style,escalation-policy"
 The deployed agent's Managed Identity needs **Azure AI User** on the Foundry project to download skills at startup.
 
 > The `skills/` source folder is **not** deployed to Foundry — only the downloaded skills are used at runtime. The provisioning step must have been run against the same Foundry project before the agent can download the skills.
+
+### Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-agent-skills && cd hosted-agent-skills
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-agent-skills
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/README.md

@@ -174,6 +174,34 @@ The model receives the top three search results as additional context and cites
 
 Replace the seed documents (or point the sample at an existing index with your own content) to ground the agent in your own knowledge base.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-azure-search-rag && cd hosted-azure-search-rag
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-azure-search-rag
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedAzureSearchRag.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/README.md

@@ -104,6 +104,32 @@ curl -X POST http://localhost:8088/responses \
   -d '{"input": "Hello!", "model": "hosted-chat-client-agent"}'
 ```
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-chat-client-agent && cd hosted-chat-client-agent
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ChatClientAgent/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-chat-client-agent
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedChatClientAgent.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/README.md

@@ -112,6 +112,34 @@ docker run --rm -p 8088:8088 \
 
 The bundled `resources/` folder is part of the published output and ships inside the image.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-files && cd hosted-files
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Files/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-files
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor` and switch the `ProjectReference` entries in `HostedFiles.csproj` to `PackageReference` (commented section in the csproj).

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/README.md

@@ -107,6 +107,32 @@ curl -X POST http://localhost:8088/responses \
   -d '{"input": "Hello!", "model": "<your-agent-name>"}'
 ```
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-foundry-agent && cd hosted-foundry-agent
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-FoundryAgent/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-foundry-agent
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor` — it performs a full `dotnet restore` and `dotnet publish` inside the container. See the commented section in `HostedFoundryAgent.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/README.md

@@ -108,6 +108,34 @@ The agent has a single tool `GetAvailableHotels` defined as a C# method with `[D
 
 The tool searches a mock database of 6 Seattle hotels and returns formatted results with name, location, rating, and pricing.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-local-tools && cd hosted-local-tools
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-local-tools
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedLocalTools.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/README.md

@@ -78,6 +78,34 @@ docker run --rm -p 8088:8088 \
   hosted-mcp-tools
 ```
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir mcp-tools && cd mcp-tools
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-McpTools/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME mcp-tools
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedMcpTools.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/README.md

@@ -139,6 +139,34 @@ The script publishes the project, builds the image, runs the container with two
 `HOSTED_USER_ISOLATION_KEY` values, drives a multi-turn conversation per user, asserts that each
 user only sees their own memories, and exits non-zero on failure.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-memory-agent && cd hosted-memory-agent
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-MemoryAgent/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-memory-agent
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/README.md

@@ -104,6 +104,34 @@ docker run --rm -p 8088:8088 \
 
 Once deployed, telemetry flows to the Application Insights instance attached to your Foundry project. In the Foundry UI, the **Traces** tab next to **Playground** lists conversations and lets you drill into the span tree for any request.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-observability && cd hosted-observability
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Observability/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-observability
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If consuming the Agent Framework as a NuGet package, use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedObservability.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/README.md

@@ -111,6 +111,34 @@ The `TextSearchProvider` runs a mock search **before each model invocation**:
 
 The model receives the search results as additional context and cites the source in its response. In production, replace `MockSearchAsync` with a call to Azure AI Search or your preferred search provider.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-text-rag && cd hosted-text-rag
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-TextRag/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-text-rag
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedTextRag.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/README.md

@@ -98,6 +98,34 @@ Using the Azure Developer CLI:
 azd ai agent invoke --local "What skills do you have available?"
 ```
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-toolbox-mcp-skills && cd hosted-toolbox-mcp-skills
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-ToolboxMcpSkills/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-toolbox-mcp-skills
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-5
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedToolboxMcpSkills.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/README.md

@@ -121,6 +121,34 @@ User message
 
 The triage agent receives every message and hands off to the appropriate specialist. Specialists route back to the triage agent after responding, allowing for multi-turn conversations.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir triage-workflow && cd triage-workflow
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Handoff/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME triage-workflow
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME gpt-4o
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedWorkflowHandoff.csproj` for the `PackageReference` alternative.

dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Simple/README.md

@@ -5,7 +5,7 @@ A hosted agent that demonstrates **multi-agent workflow orchestration**. Three t
 ## Prerequisites
 
 - [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
-- An Azure AI Foundry project with a deployed model (e.g., `gpt-4o`)
+- An Azure AI Foundry project with a deployed model (e.g., `hosted-workflow-simple`)
 - Azure CLI logged in (`az login`)
 
 ## Configuration
@@ -22,7 +22,7 @@ Edit `.env` and set your Azure AI Foundry project endpoint:
 AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
 ASPNETCORE_URLS=http://+:8088
 ASPNETCORE_ENVIRONMENT=Development
-AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o
+AZURE_AI_MODEL_DEPLOYMENT_NAME=hosted-workflow-simple
 ```
 
 > **Note:** `.env` is gitignored. The `.env.example` template is checked in as a reference.
@@ -104,6 +104,34 @@ Input text
 
 Each agent in the chain receives the output of the previous agent. The final result demonstrates how meaning is preserved (or subtly shifted) through multiple translation hops.
 
+## Deploying to Foundry (azd spec)
+
+This sample includes an `azd` manifest (`agent.manifest.yaml`) and hosted agent spec (`agent.yaml`) for deployment to Foundry.
+
+Initialize an `azd` project from this sample's manifest:
+
+```bash
+mkdir hosted-workflows && cd hosted-workflows
+azd ai agent init -m https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-Workflow-Simple/agent.manifest.yaml
+```
+
+Then deploy:
+
+```bash
+azd deploy
+```
+
+If you need to override defaults, set deployment-time environment variables in the `azd` environment before deploying:
+
+```bash
+azd env set AGENT_NAME hosted-workflow-simple
+azd env set AZURE_AI_MODEL_DEPLOYMENT_NAME hosted-workflow-simple
+```
+
+For end-to-end hosted agent deployment guidance, see the [official deployment guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent).
+
+---
+
 ## NuGet package users
 
 Use the standard `Dockerfile` instead of `Dockerfile.contributor`. See the commented section in `HostedWorkflowSimple.csproj` for the `PackageReference` alternative.

python/CHANGELOG.md

@@ -7,6 +7,26 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.8.1] - 2026-06-09
+
+### Added
+- **agent-framework-core**: Add MCP client OTel spans per GenAI semantic conventions ([#6349](https://github.com/microsoft/agent-framework/pull/6349))
+- **agent-framework-core**: Add MCP long-running task support ([#6319](https://github.com/microsoft/agent-framework/pull/6319))
+
+### Changed
+- **agent-framework-claude**: Bump `claude-agent-sdk` to 0.2.87 ([#6248](https://github.com/microsoft/agent-framework/pull/6248))
+- **agent-framework-core**: Document checkpoint storage security model and deserialization trust boundaries ([#6295](https://github.com/microsoft/agent-framework/pull/6295))
+- **agent-framework-azurefunctions**: Document checkpoint storage security model and deserialization trust boundaries ([#6295](https://github.com/microsoft/agent-framework/pull/6295))
+
+### Fixed
+- **agent-framework-core**: Filter MCP tool kwargs to declared params via allowlist ([#6399](https://github.com/microsoft/agent-framework/pull/6399))
+- **agent-framework-core**: Fix per-service-call history persistence with server-storing clients ([#6310](https://github.com/microsoft/agent-framework/pull/6310))
+- **agent-framework-openai**: Use `getattr` for non-OpenAI provider response compatibility ([#6270](https://github.com/microsoft/agent-framework/pull/6270))
+- **agent-framework-foundry-hosting**: Refactor workflow-as-agent pending request handling ([#6259](https://github.com/microsoft/agent-framework/pull/6259))
+- **agent-framework-gemini**: Make Gemini honor declarative `outputSchema`, not just JSON mode ([#5893](https://github.com/microsoft/agent-framework/pull/5893))
+- **agent-framework-mem0**: Isolate entity retrieval and correct `app_id` payload ([#6242](https://github.com/microsoft/agent-framework/pull/6242))
+- **agent-framework-ag-ui**: Match AG-UI approval responses to requested arguments ([#6376](https://github.com/microsoft/agent-framework/pull/6376))
+
 ## [1.8.0] - 2026-06-04
 
 ### Added
@@ -1169,7 +1189,8 @@ 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-1.8.0...HEAD
+[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.8.1...HEAD
+[1.8.1]: https://github.com/microsoft/agent-framework/compare/python-1.8.0...python-1.8.1
 [1.8.0]: https://github.com/microsoft/agent-framework/compare/python-1.7.0...python-1.8.0
 [1.7.0]: https://github.com/microsoft/agent-framework/compare/python-1.6.0...python-1.7.0
 [1.6.0]: https://github.com/microsoft/agent-framework/compare/python-1.5.0...python-1.6.0

python/packages/ag-ui/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agent-framework-ag-ui"
-version = "1.0.0rc3"
+version = "1.0.0rc4"
 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>=1.6.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "ag-ui-protocol>=0.1.16,<0.2",
     "fastapi>=0.115.0,<0.133.1",
     "uvicorn[standard]>=0.30.0,<1"

python/packages/azurefunctions/pyproject.toml

@@ -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 = "1.0.0b260604"
+version = "1.0.0b260609"
 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>=1.8.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "agent-framework-durabletask>=1.0.0b260604,<2",
     "azure-functions>=1.24.0,<2",
     "azure-functions-durable>=1.3.1,<2",

python/packages/claude/pyproject.toml

@@ -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 = "1.0.0b260521"
+version = "1.0.0b260609"
 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>=1.6.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "claude-agent-sdk>=0.1.36,<0.3",
 ]
 

python/packages/core/pyproject.toml

@@ -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 = "1.8.0"
+version = "1.8.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"

python/packages/foundry/pyproject.toml

@@ -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 = "1.8.0"
+version = "1.8.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.0,<2",
-    "agent-framework-openai>=1.8.0,<2",
+    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-openai>=1.8.1,<2",
     "azure-ai-inference>=1.0.0b9,<1.0.0b10",
     "azure-ai-projects>=2.2.0,<3.0",
 ]

python/packages/foundry_hosting/pyproject.toml

@@ -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 = "1.0.0a260604"
+version = "1.0.0a260609"
 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>=1.8.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "azure-ai-agentserver-core>=2.0.0b3,<3",
     "azure-ai-agentserver-responses>=1.0.0b7,<2",
     "azure-ai-agentserver-invocations>=1.0.0b3,<2",

python/packages/gemini/pyproject.toml

@@ -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 = "1.0.0a260521"
+version = "1.0.0a260609"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,7 +24,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.6.0,<2.0",
+    "agent-framework-core>=1.8.1,<2.0",
     "google-genai>=1.65.0,<2.0.0",
 ]
 

python/packages/mem0/pyproject.toml

@@ -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 = "1.0.0b260521"
+version = "1.0.0b260609"
 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>=1.6.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "mem0ai>=1.0.0,<2",
 ]
 

python/packages/openai/pyproject.toml

@@ -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 = "1.8.0"
+version = "1.8.1"
 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>=1.8.0,<2",
+    "agent-framework-core>=1.8.1,<2",
     "openai>=1.99.0,<3",
 ]
 

python/pyproject.toml

@@ -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 = "1.8.0"
+version = "1.8.1"
 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[all]==1.8.0",
+    "agent-framework-core[all]==1.8.1",
 ]
 
 [dependency-groups]

python/uv.lock

@@ -115,7 +115,7 @@ wheels = [
 
 [[package]]
 name = "agent-framework"
-version = "1.8.0"
+version = "1.8.1"
 source = { virtual = "." }
 dependencies = [
     { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -185,7 +185,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-ag-ui"
-version = "1.0.0rc3"
+version = "1.0.0rc4"
 source = { editable = "packages/ag-ui" }
 dependencies = [
     { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -279,7 +279,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azurefunctions"
-version = "1.0.0b260604"
+version = "1.0.0b260609"
 source = { editable = "packages/azurefunctions" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -333,7 +333,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-claude"
-version = "1.0.0b260521"
+version = "1.0.0b260609"
 source = { editable = "packages/claude" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -363,7 +363,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-core"
-version = "1.8.0"
+version = "1.8.1"
 source = { editable = "packages/core" }
 dependencies = [
     { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -529,7 +529,7 @@ dev = [{ name = "types-python-dateutil", specifier = "==2.9.0.20260518" }]
 
 [[package]]
 name = "agent-framework-foundry"
-version = "1.8.0"
+version = "1.8.1"
 source = { editable = "packages/foundry" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -548,7 +548,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-foundry-hosting"
-version = "1.0.0a260604"
+version = "1.0.0a260609"
 source = { editable = "packages/foundry_hosting" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -584,7 +584,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-gemini"
-version = "1.0.0a260521"
+version = "1.0.0a260609"
 source = { editable = "packages/gemini" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -714,7 +714,7 @@ dev = [
 
 [[package]]
 name = "agent-framework-mem0"
-version = "1.0.0b260521"
+version = "1.0.0b260609"
 source = { editable = "packages/mem0" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -774,7 +774,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-openai"
-version = "1.8.0"
+version = "1.8.1"
 source = { editable = "packages/openai" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },