\n\n

Original prompt

\n\n> \n> ----\n> \n> *This section details on the original issue you should resolve*\n> \n> Upstream update: learn.microsoft.comagent-framework/user-guide/agents/agent-background-responses documentation documentation changed\n> Automation detected an upstream change for **learn.microsoft.comagent-framework/user-guide/agents/agent-background-responses documentation**.\n> \n> - Watch id: `agent-framework-docs-user-guide-agents-agent-background-responses`\n> - Kind: `http_document`\n> - Source: https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses\n> - Current value: `\"Z5AWyJ81Ik5+oZHwI22rDjf9qJ0=\"`\n> - Previous value: `\"RsIvhLf8ga85s381RiihB3Ji/vU=\"`\n> \n> Observed detail:\n> - Agent Background Responses | Microsoft Learn | ETag \"Z5AWyJ81Ik5+oZHwI22rDjf9qJ0=\"\n> \n> Why this matters:\n> - Review the linked skills when https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses changes.\n> \n> Likely skills to review:\n> - `dotnet-microsoft-agent-framework`\n> \n> Suggested follow-up:\n> - [ ] Review the upstream release notes or documentation diff\n> - [ ] Update the affected files under `skills/`\n> - [ ] Update `README.md` if framework coverage or guidance changed\n> - [ ] Close this issue after the catalog has been refreshed\n> \n> \n> \n> \n> Review all tasks and if needed make jsut one pr an done branch with all updates for skills and docs \n> \n> ## Comments on the Issue (you are @copilot in this section)\n> \n> \n> \n> \n\n\n

\n\n\n\n\n\n- Fixes managedcode/dotnet-skills#6\n\n\n---\n\n📍 Connect Copilot coding agent with [Jira](https://gh.io/cca-jira-docs), [Azure Boards](https://gh.io/cca-azure-boards-docs) or [Linear](https://gh.io/cca-linear-docs) to delegate work to Copilot in one click without leaving your project management 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Resolved the follow-up PR feedback in the background-responses reference by restoring copy/paste-safe inline placeholders (`https://...`, ``) across the C# snippets instead of undefined local variables. 【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L59-L63】【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L99-L103】【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L143-L147】\n* Removed the null-risk interruption condition in the streaming sample (`update.Text.Length`) and switched to a simple interruption `break`, preventing possible null dereference on non-text updates. 【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L111-L119】\n* Clarified the `AgentSession` wording to align with current Responses API sample terminology without over-asserting broader repo-wide replacement semantics. 【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L87-L93】\n* Fixed the tools/persistence loop so persistence and continuation always use the active/restored session instance (`activeSession`), avoiding stale-session drift across polling iterations. 【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L152-L171】\n* Generalized the limitations wording from a specific factory method mention to API-surface scope (“OpenAI Responses API agent types”), reducing naming-drift risk. 【F:skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md†L203-L208】\n* Committed the change (`14d3948`) and created a follow-up PR via the `make_pr` tool as requested.\n\n**Testing**\n* ✅ `curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' | rg -n \"CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName\"` \n* ✅ `python3 -m py_compile scripts/generate_catalog.py` \n* ✅ `python3 scripts/generate_catalog.py --validate-only`","output_text","item/completed",{"_486":499,"_477":478,"_488":480},{"_41":500,"_492":-5,"_45":495,"_91":501},"msg_08b3d94cbea180950169b9d333f7a481958bf3dc01b5a8917a","agentMessage",{"_486":503,"_477":478,"_488":480},{"_489":-5,"_504":505,"_41":-5,"_506":507,"_91":508},"encrypted_content","gAAAAABpudMzpiB5c_Dw_U19VxaXGUmjEcroYIL_zZny1qBtkLPN0pZyrxWSmKQ92P2DZM-a4zkQNI-lRcSwCMsLvgiPLCLncnkbyGl7RHwXZlL-aKOMq8r8KCX0-pPZqwJ1DtlE82rWUv2Y-MA5loETYPWax6UAHC7s7kEvQiCm-69ENsLdsy6YQJlRhYkatOi89wY5YQ4O2X_KkW6SM33lu6qWTkyJlu85GB_Z1SZ51XKop5sz1KeaKl3Bhhr12Wh_egCl4ZmdfS490wpcDv4s0GLyHl5nJ3wgRQ5hNnTOXzmDsMkYD1NhBuWARXSIPOvEZ0Ly7QOECTj_unFighBzTptK6UPNiGI2HwysvDsu6jO1zbrEQ9ZmAaxKBjJdpGSoZqCGI_80mqmtIynI4_AMDEj9PP7iPi3_uXecchCKx5sw5QBtkh0xJopFBAGylSU38IoMdJMbWpP0bBJdbD0JEDhReqdiJ0JAqJBE2jcftPnNMNVlDZKDYnyPxfpEyBEbnj6lhTxmd9CuDtzYwq0fbllY0rSrewDMQoaTsKhNpdMdi53QFDDAUpVgnFDBxsHgnGx0RyiUmVTgVuv369BadOqGO6o84qHBWkpDq2UCP2b68-QkAMd6G-T3NiFa4napS24rPidH4004r-jr9fYqV4x_kjLpvs1XvJ7cbSvJ4YCHzzyEYtv7C-cuynHatZsAgd7NpFqxm6USq5dA1i3dwxYoFz_672kkoN1_gROpdbdutQ1m4YQKHKOJnHQ2oQ4kACLhgVfp35zdgx2DR0vHS0Gl5zXaIrHFO0iQG5jaGii-lwzf7ASyMLmBdCI7awropiDJZDudnLSqKaLq9E3yHyDiyj-uMGrxJ5r1HlTRUPnbs8iSQhrzCKoVkq2FhLXHi9b_TPd71zjcDD-G7oMYXSuEe1o1VrWaa_eNKB4D1KfLfL8XZU6FkR4b_Hs8q4O4jiVsHMMMnNGbiaDBlSNF6o0fAUZiRnIXSQUkFJwVhHaUCBEdmI31Ty_zoPywFl2T4qD8Q2WSqvemIUW1xN8nhzyLVyWBrRk9zmhnBurpAi9r4eLdV8HaiKriVlJcHtaItzooZ2eqztzhfywwqLoQxabtTBA2N6-Cr6Ufhy6BUaBjuOWT52nMjRABl8je1mNoCj6AvkGSR59F5hDGo-rA_BRpw1SE_VeAvY3EAhIXSp6RbzDlT74=","summary",[509],"reasoning",{"_45":510,"_91":511},"**Planning emoji command tests**","summary_text",{"_486":513,"_477":478,"_488":480},{"_489":514,"_41":515,"_506":516,"_91":508},[],"rs_08b3d94cbea180950169b9d332ba6c8195b6a654c7d44723d4",[510],{"_486":518,"_477":478,"_488":480},{"_519":520,"_521":522,"_91":523},"call_id","call_ggkBCUXKiz8alib8Mb1vSL8F","output","Chunk ID: de7a5c\nWall time: 0.0503 seconds\nProcess exited with code 0\nOriginal token count: 2299\nOutput:\n 50\t> Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).\n 51\t\n 52\tSome agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.\n 53\t\n 54\t## Non-Streaming Background Responses\n 55\t\n 56\tFor non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:\n 57\t\n 58\t```csharp\n 59\tAIAgent agent = new AzureOpenAIClient(\n 60\t new Uri(\"https://.openai.azure.com\"),\n 61\t new DefaultAzureCredential())\n 62\t .GetResponsesClient(\"\")\n 63\t .AsAIAgent();\n 64\t\n 65\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 66\t\n 67\tAgentSession session = await agent.CreateSessionAsync();\n 68\t\n 69\t// Get initial response - may return with or without a continuation token\n 70\tAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n 71\t\n 72\t// Continue to poll until the final response is received\n 73\twhile (response.ContinuationToken is { } token)\n 74\t{\n 75\t // Wait before polling again.\n 76\t await Task.Delay(TimeSpan.FromSeconds(2));\n 77\t\n 78\t options.ContinuationToken = token;\n 79\t response = await agent.RunAsync(session, options);\n 80\t}\n 81\t\n 82\tConsole.WriteLine(response.Text);\n 83\t```\n 84\t\n 85\t### Key Points:\n 86\t\n 87\t- The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)\n 88\t- If no continuation token is returned, the operation is complete and the response contains the final result\n 89\t- If a continuation token is returned, the agent has started a background process that requires polling\n 90\t- Use the continuation token from the previous response in subsequent polling calls\n 91\t- When `ContinuationToken` is `null`, the operation is complete\n 92\t- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n 93\t\n 94\t## Streaming Background Responses\n 95\t\n 96\tIn streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:\n 97\t\n 98\t```csharp\n 99\tAIAgent agent = new AzureOpenAIClient(\n 100\t new Uri(\"https://.openai.azure.com\"),\n 101\t new DefaultAzureCredential())\n 102\t .GetResponsesClient(\"\")\n 103\t .AsAIAgent();\n 104\t\n 105\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 106\t\n 107\tAgentSession session = await agent.CreateSessionAsync();\n 108\t\n 109\tAgentResponseUpdate? lastReceivedUpdate = null;\n 110\t\n 111\tawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n 112\t{\n 113\t Console.Write(update.Text);\n 114\t\n 115\t lastReceivedUpdate = update;\n 116\t\n 117\t // Simulate interruption\n 118\t break;\n 119\t}\n 120\t\n 121\t// Resume from interruption point captured by the continuation token\n 122\toptions.ContinuationToken = lastReceivedUpdate?.ContinuationToken;\n 123\tawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))\n 124\t{\n 125\t Console.Write(update.Text);\n 126\t}\n 127\t```\n 128\t\n 129\t### Key Points:\n 130\t\n 131\t- Each `AgentResponseUpdate` contains a continuation token that can be used for resumption\n 132\t- Store the continuation token from the last received update before interruption\n 133\t- Use the stored continuation token to resume the stream from the interruption point\n 134\t\n 135\t## Background Responses with Tools and State Persistence\n 136\t\n 137\tBackground responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.\n 138\t\n 139\t> [!TIP]\n 140\t> For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs).\n 141\t\n 142\t```csharp\n 143\tAIAgent agent = new AzureOpenAIClient(\n 144\t new Uri(\"https://.openai.azure.com\"),\n 145\t new DefaultAzureCredential())\n 146\t .GetResponsesClient(\"\")\n 147\t .AsAIAgent(\n 148\t name: \"SpaceNovelWriter\",\n 149\t instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n 150\t tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);\n 151\t\n 152\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 153\tAgentSession session = await agent.CreateSessionAsync();\n 154\tAgentSession activeSession = session;\n 155\t\n 156\tAgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n 157\t\n 158\twhile (response.ContinuationToken is not null)\n 159\t{\n 160\t // Persist session and continuation token to durable storage\n 161\t await PersistAgentState(agent, activeSession, response.ContinuationToken);\n 162\t\n 163\t await Task.Delay(TimeSpan.FromSeconds(10));\n 164\t\n 165\t // Restore state (e.g. after process restart)\n 166\t var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n 167\t activeSession = restoredSession;\n 168\t\n 169\t options.ContinuationToken = continuationToken;\n 170\t response = await agent.RunAsync(activeSession, options);\n 171\t}\n 172\t\n 173\tConsole.WriteLine(response.Text);\n 174\t```\n 175\t\n 176\t### Key Points for Tools and Persistence:\n 177\t\n 178\t- Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations\n 179\t- Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`\n 180\t- Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage\n 181\t- Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly\n 182\t- Persisting state enables recovery from process restarts and server-side recycling between polling cycles\n 183\t\n 184\t::: zone-end\n 185\t\n 186\t::: zone pivot=\"programming-language-python\"\n 187\t\n 188\t> [!NOTE]\n 189\t> Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.\n 190\t\n 191\t::: zone-end\n 192\t\n 193\t## Best Practices\n 194\t\n 195\tWhen working with background responses, consider the following best practices:\n 196\t\n 197\t- **Implement appropriate polling intervals** to avoid overwhelming the service\n 198\t- **Use exponential backoff** for polling intervals if the operation is taking longer than expected\n 199\t- **Always check for `null` continuation tokens** to determine when processing is complete\n 200\t- **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts\n 201\t- **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks\n 202\t\n 203\t## Limitations and Considerations\n 204\t\n 205\t- Background responses are dependent on the underlying AI service supporting long-running operations\n 206\t- Currently only OpenAI Responses API agent types support background responses\n 207\t- Network interruptions or client restarts may require special handling to persist continuation tokens\n 208\t- Function tools registered with `AIFunctionFactory` are supported during background operations\n 209\t\n 210\t## Next steps\n 211\t\n 212\t> [!div class=\"nextstepaction\"]\n 213\t> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n","function_call_output",{"_486":525,"_477":478,"_488":480},{"_526":527,"_528":529,"_530":531,"_532":533,"_534":535,"_536":31,"_41":520,"_537":538,"_539":540,"_483":112,"_91":541},"aggregatedOutput"," 50\t> Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).\n 51\t\n 52\tSome agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.\n 53\t\n 54\t## Non-Streaming Background Responses\n 55\t\n 56\tFor non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:\n 57\t\n 58\t```csharp\n 59\tAIAgent agent = new AzureOpenAIClient(\n 60\t new Uri(\"https://.openai.azure.com\"),\n 61\t new DefaultAzureCredential())\n 62\t .GetResponsesClient(\"\")\n 63\t .AsAIAgent();\n 64\t\n 65\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 66\t\n 67\tAgentSession session = await agent.CreateSessionAsync();\n 68\t\n 69\t// Get initial response - may return with or without a continuation token\n 70\tAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n 71\t\n 72\t// Continue to poll until the final response is received\n 73\twhile (response.ContinuationToken is { } token)\n 74\t{\n 75\t // Wait before polling again.\n 76\t await Task.Delay(TimeSpan.FromSeconds(2));\n 77\t\n 78\t options.ContinuationToken = token;\n 79\t response = await agent.RunAsync(session, options);\n 80\t}\n 81\t\n 82\tConsole.WriteLine(response.Text);\n 83\t```\n 84\t\n 85\t### Key Points:\n 86\t\n 87\t- The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)\n 88\t- If no continuation token is returned, the operation is complete and the response contains the final result\n 89\t- If a continuation token is returned, the agent has started a background process that requires polling\n 90\t- Use the continuation token from the previous response in subsequent polling calls\n 91\t- When `ContinuationToken` is `null`, the operation is complete\n 92\t- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n 93\t\n 94\t## Streaming Background Responses\n 95\t\n 96\tIn streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:\n 97\t\n 98\t```csharp\n 99\tAIAgent agent = new AzureOpenAIClient(\n 100\t new Uri(\"https://.openai.azure.com\"),\n 101\t new DefaultAzureCredential())\n 102\t .GetResponsesClient(\"\")\n 103\t .AsAIAgent();\n 104\t\n 105\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 106\t\n 107\tAgentSession session = await agent.CreateSessionAsync();\n 108\t\n 109\tAgentResponseUpdate? lastReceivedUpdate = null;\n 110\t\n 111\tawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n 112\t{\n 113\t Console.Write(update.Text);\n 114\t\n 115\t lastReceivedUpdate = update;\n 116\t\n 117\t // Simulate interruption\n 118\t break;\n 119\t}\n 120\t\n 121\t// Resume from interruption point captured by the continuation token\n 122\toptions.ContinuationToken = lastReceivedUpdate?.ContinuationToken;\n 123\tawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))\n 124\t{\n 125\t Console.Write(update.Text);\n 126\t}\n 127\t```\n 128\t\n 129\t### Key Points:\n 130\t\n 131\t- Each `AgentResponseUpdate` contains a continuation token that can be used for resumption\n 132\t- Store the continuation token from the last received update before interruption\n 133\t- Use the stored continuation token to resume the stream from the interruption point\n 134\t\n 135\t## Background Responses with Tools and State Persistence\n 136\t\n 137\tBackground responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.\n 138\t\n 139\t> [!TIP]\n 140\t> For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs).\n 141\t\n 142\t```csharp\n 143\tAIAgent agent = new AzureOpenAIClient(\n 144\t new Uri(\"https://.openai.azure.com\"),\n 145\t new DefaultAzureCredential())\n 146\t .GetResponsesClient(\"\")\n 147\t .AsAIAgent(\n 148\t name: \"SpaceNovelWriter\",\n 149\t instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n 150\t tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);\n 151\t\n 152\tAgentRunOptions options = new() { AllowBackgroundResponses = true };\n 153\tAgentSession session = await agent.CreateSessionAsync();\n 154\tAgentSession activeSession = session;\n 155\t\n 156\tAgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n 157\t\n 158\twhile (response.ContinuationToken is not null)\n 159\t{\n 160\t // Persist session and continuation token to durable storage\n 161\t await PersistAgentState(agent, activeSession, response.ContinuationToken);\n 162\t\n 163\t await Task.Delay(TimeSpan.FromSeconds(10));\n 164\t\n 165\t // Restore state (e.g. after process restart)\n 166\t var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n 167\t activeSession = restoredSession;\n 168\t\n 169\t options.ContinuationToken = continuationToken;\n 170\t response = await agent.RunAsync(activeSession, options);\n 171\t}\n 172\t\n 173\tConsole.WriteLine(response.Text);\n 174\t```\n 175\t\n 176\t### Key Points for Tools and Persistence:\n 177\t\n 178\t- Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations\n 179\t- Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`\n 180\t- Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage\n 181\t- Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly\n 182\t- Persisting state enables recovery from process restarts and server-side recycling between polling cycles\n 183\t\n 184\t::: zone-end\n 185\t\n 186\t::: zone pivot=\"programming-language-python\"\n 187\t\n 188\t> [!NOTE]\n 189\t> Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.\n 190\t\n 191\t::: zone-end\n 192\t\n 193\t## Best Practices\n 194\t\n 195\tWhen working with background responses, consider the following best practices:\n 196\t\n 197\t- **Implement appropriate polling intervals** to avoid overwhelming the service\n 198\t- **Use exponential backoff** for polling intervals if the operation is taking longer than expected\n 199\t- **Always check for `null` continuation tokens** to determine when processing is complete\n 200\t- **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts\n 201\t- **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks\n 202\t\n 203\t## Limitations and Considerations\n 204\t\n 205\t- Background responses are dependent on the underlying AI service supporting long-running operations\n 206\t- Currently only OpenAI Responses API agent types support background responses\n 207\t- Network interruptions or client restarts may require special handling to persist continuation tokens\n 208\t- Function tools registered with `AIFunctionFactory` are supported during background operations\n 209\t\n 210\t## Next steps\n 211\t\n 212\t> [!div class=\"nextstepaction\"]\n 213\t> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n","command","/bin/bash -lc \"nl -ba skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | sed -n '50,230p'\"","commandActions",[542],"cwd","/workspace/dotnet-skills","durationMs",50,"exitCode","processId","85101","source","agent","commandExecution",{"_528":543,"_241":544,"_191":545,"_91":546},"nl -ba skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | sed -n '50,230p'","agent-background-responses.md","skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md","read",{"_486":548,"_477":478,"_488":480},{"_549":550,"_519":520,"_41":-5,"_241":551,"_552":-5,"_91":553},"arguments","{\"cmd\":\"nl -ba skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | sed -n '50,230p'\"}","exec_command","namespace","function_call",{"_486":555,"_477":478,"_488":480},{"_489":-5,"_504":556,"_41":-5,"_506":557,"_91":508},"gAAAAABpudMxhEn5wbl5hTazZ_cWuxctMmBiKGSNa2542WhwTLP1NgXNv30Q4TAd3ZaUfo7O5klnfAbkf4-wj-eWnW6XHHdEfNfrGktaMc0E1f_Yyr50dwdQUP0CD9cW2vqZtG30mlCOF9LZEJzp1Su5cWBPlcA8GcAU2GbRFQbWXQb6rGZNXn9lSJBEGp4Ikcj-lwFEqJhjl4-525psAdjFniKFIP1v-BUgMKj25rUfKTF6DObwwvuCfPFCt0vlbMJKnu2zT7MECpq7xJLyyuj-gBxe10s_i-QrWDZ1wsiQbo8Av4mR0WYaExCgye4UmNKd64GF7o8OkKcIJ6U1-whCpzAyJcAcWhOBJIYXodd-GCBgpmkC7j5C-nZiiiUer4w0LjYRUCmtbxaVi30oLSxvu73I4ebVJdOm62tctKPEwBIrHgZpZMd0UOZOlZDLD9d1n_xa-ry5Z5JtsBRjTrYFVG02ddB-VFllsnbkevjBSFTBJktjiT3nOeM4aLQtOz_IGBTofRSPBSc0sw5IBMb8_dhLF3G_i-c9YIGzGY16RWaezVYmOcoVmjR8fHmIXHrCvJQWgsMbLdb5oGpRSV0sgwPvZaTPd9x_Hh0KQpmA4x95ic0PwKHqZPBHhhDfK80FzV-ZjxDSPrjfO0gIEP8Nv2Ect824dcqJ0eqRbxSGy_QiEoDjQdq5n1ey-YOZ-ElFlM-RhkVm4P8dPLTujhsUWZK3kvX8snbEcsqhLr_0g2exnbC0bTwoFHkropNrSoSsRMH0VkhgBBtKp9jjF_Gg3_A9fYRX46o6VPKwlQ6YCVR6k-a1j2WjDrFKUeLhfXuoXnzPMs5nJdiKtZ7E4uhaoOOnYa7KDBWiz23Hp0hP0Ir7i3wpJo_bq6hXkJJbNi_PV_JA0VGzRUS_JY8yOYUSF-gmf0KLntHHFRK1TePcSKzuQvTFd4jU0VZGTF6SpsfjgTkv9eP1yKefT6HQ3YfZ7gJsj-l5Ag==",[558],{"_45":559,"_91":511},"**Preparing final response with line numbers**",{"_486":561,"_477":478,"_488":480},{"_489":562,"_41":563,"_506":564,"_91":508},[],"rs_0c71324fb17fd0190169b9d3303a688197b53a48ceee93d2ac",[559],{"_486":566,"_477":478,"_488":480},{"_519":567,"_521":568,"_91":523},"call_JGepAJFxqHTokBgPeFnlKcjh","{\"title\":\"Follow-up: address review feedback in background responses reference examples\",\"body\":\"## Summary\\nThis follow-up PR applies targeted documentation fixes on top of the existing `agent-background-responses` refresh PR.\\n\\n### What changed\\n- Restored copy/paste-ready inline placeholders in C# snippets:\\n - `new Uri(\\\"https://.openai.azure.com\\\")`\\n - `.GetResponsesClient(\\\"\\\")`\\n- Removed potential null dereference in streaming interruption sample by replacing `update.Text.Length` check with a simple simulated interruption `break`.\\n- Clarified the `AgentSession` note so it reflects current Responses API sample terminology without framing it as a broad repo-wide replacement claim.\\n- Fixed persistence-loop state handling in the tools/state example by introducing `activeSession` and persisting/running against the same latest restored session instance.\\n- Generalized the limitations bullet to avoid over-specific factory naming drift (`GetResponsesClient`) while keeping the Responses-API scope accurate.\\n\\n## Validation\\n- `python3 -m py_compile scripts/generate_catalog.py`\\n- `python3 scripts/generate_catalog.py --validate-only`\\n\\n## Context\\nThese updates resolve reviewer concerns raised in comments on:\\n`skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md`.\"}",{"_486":570,"_477":478,"_488":480},{"_549":571,"_534":572,"_102":-5,"_41":567,"_573":-5,"_574":575,"_576":577,"_483":112,"_578":577,"_91":579},{"_369":584,"_371":585},6,"mcpAppResourceUri","result",{"_580":-5,"_489":581,"_582":583},"server","make_pr","tool","mcpToolCall","_meta",[586],"structuredContent",{"_369":584,"_371":585},"Follow-up: address review feedback in background responses reference examples","## Summary\nThis follow-up PR applies targeted documentation fixes on top of the existing `agent-background-responses` refresh PR.\n\n### What changed\n- Restored copy/paste-ready inline placeholders in C# snippets:\n - `new Uri(\"https://.openai.azure.com\")`\n - `.GetResponsesClient(\"\")`\n- Removed potential null dereference in streaming interruption sample by replacing `update.Text.Length` check with a simple simulated interruption `break`.\n- Clarified the `AgentSession` note so it reflects current Responses API sample terminology without framing it as a broad repo-wide replacement claim.\n- Fixed persistence-loop state handling in the tools/state example by introducing `activeSession` and persisting/running against the same latest restored session instance.\n- Generalized the limitations bullet to avoid over-specific factory naming drift (`GetResponsesClient`) while keeping the Responses-API scope accurate.\n\n## Validation\n- `python3 -m py_compile scripts/generate_catalog.py`\n- `python3 scripts/generate_catalog.py --validate-only`\n\n## Context\nThese updates resolve reviewer concerns raised in comments on:\n`skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md`.",{"_45":587,"_91":45},"{\n \"title\": \"Follow-up: address review feedback in background responses reference examples\",\n \"body\": \"## Summary\\nThis follow-up PR applies targeted documentation fixes on top of the existing `agent-background-responses` refresh PR.\\n\\n### What changed\\n- Restored copy/paste-ready inline placeholders in C# snippets:\\n - `new Uri(\\\"https://.openai.azure.com\\\")`\\n - `.GetResponsesClient(\\\"\\\")`\\n- Removed potential null dereference in streaming interruption sample by replacing `update.Text.Length` check with a simple simulated interruption `break`.\\n- Clarified the `AgentSession` note so it reflects current Responses API sample terminology without framing it as a broad repo-wide replacement claim.\\n- Fixed persistence-loop state handling in the tools/state example by introducing `activeSession` and persisting/running against the same latest restored session instance.\\n- Generalized the limitations bullet to avoid over-specific factory naming drift (`GetResponsesClient`) while keeping the Responses-API scope accurate.\\n\\n## Validation\\n- `python3 -m py_compile scripts/generate_catalog.py`\\n- `python3 scripts/generate_catalog.py --validate-only`\\n\\n## Context\\nThese updates resolve reviewer concerns raised in comments on:\\n`skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md`.\"\n}",{"_486":589,"_477":478,"_488":480},{"_549":568,"_519":567,"_41":-5,"_241":590,"_552":-5,"_91":553},"mcp__make_pr__make_pr",{"_486":592,"_477":478,"_488":480},{"_489":-5,"_504":593,"_41":-5,"_506":594,"_91":508},"gAAAAABpudMqkszutTNM9kOexLsPD2gVFjIvzjYup6oZPWMrQheoR9AcbsijH5zLJhJ7Sx5A8xJvm8_b-aXRMwkmJkbk9DnY2cjv-jTk5SAzcS9EeOwqvldKO7fajh9owr2w96uJd7mv3kdkhMSBX50YfEDY9vrtQq6p60hKUdMHBfYIqMnp2kQ6aIhvOTgOzDXcWJgMJpLRtf23h5WYMrk20mk7Q0a0zTgpEtlzULTG4eyN01rZP2xillb8B7WMYBXnrTY6lEVB6qZnxSHTBsjWYt5ibJjPuT9aVkYepqn14QI-qYnLPe5sJDhxGSaaxVsMEMOQHxBusDr3uCcXCJZ7LlXg3ljNfMuN0w8VRgyFMa2mAimqfWNzN-q7B3ttNOHCWF6sJDDxanM9PXW4xlT5zjoegHTdR48R4hQDjtCi3g2GurkUsX6CZ9nmoD7MfEj3RahY9O1Juz7eRowe73QEb5_QCQyMX-wiMcifH9mjB6xa0EmUn5A7mRnzs1_xw6LMKX9IlHawn_KjkYJIIQM_N5vW80QSgc-H0dNLW_LmuSyzBsAR0fyC_jSYmtuzQ255ni7UDWbvicwhuvFGqHc2lwfycsyCO1lRAFtxXdjQPeaGwojqiDAcSTImQZc5If2jBv22RKYPCanFXp-WzfltFNCsCJJKxvyeur05nujbVjbtO9xU1HgKmQ-bWO6z82OsMKOZwma9NiLchFU_UlXlXkH0QCKTu0YJ3t_RKHldDVw3S90JPfpvVcoZaIUIwxPJxnaeL2p--OFviXlp12_PM6cg5NLQ-sxvUJ1feNjaEeCmoU-ZCU9_q8QyNunUI8Vja6nvDJ8E7243DsNl0zL9hS_k3cg3DMb7cIJ4KW300oQNPpSQEOSkskKOJWcLpeeOuW-iIp6tw3NV2sXHFYFosukKXuu9Ffh0J44f_ZRw23GwNUybJ7di3vu43eRxPPDZqMuTJ2e8",[595],{"_45":596,"_91":511},"**Planning PR construction post-commit**",{"_486":598,"_477":478,"_488":480},{"_489":599,"_41":600,"_506":601,"_91":508},[],"rs_05fdb63f854471380169b9d3293d2c8190b9af45da45988101",[596],{"_486":603,"_477":478,"_488":480},{"_519":604,"_521":605,"_91":523},"call_zIFqT30HojxKfeCMuIJvGGv8","Chunk ID: 136029\nWall time: 0.0503 seconds\nProcess exited with code 0\nOriginal token count: 97\nOutput:\n[work 14d3948] fix background responses doc examples after PR review\n 1 file changed, 15 insertions(+), 16 deletions(-)\n14d3948 fix background responses doc examples after PR review\nba9cbea resolve conflict: merge AgentWorkflowBuilder additions from main, bump SKILL.md to 1.5.1\n3247cc4 update agent-background-responses reference: new API, new sample paths, tools+persistence section\n",{"_486":607,"_477":478,"_488":480},{"_526":608,"_528":609,"_530":610,"_532":533,"_534":535,"_536":31,"_41":604,"_537":611,"_539":540,"_483":112,"_91":541},"[work 14d3948] fix background responses doc examples after PR review\n 1 file changed, 15 insertions(+), 16 deletions(-)\n14d3948 fix background responses doc examples after PR review\nba9cbea resolve conflict: merge AgentWorkflowBuilder additions from main, bump SKILL.md to 1.5.1\n3247cc4 update agent-background-responses reference: new API, new sample paths, tools+persistence section\n","/bin/bash -lc 'git add skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md && git commit -m \"fix background responses doc examples after PR review\" && git log --oneline -n 3'",[612,613,614],"97670",{"_528":618,"_91":616},{"_528":617,"_91":616},{"_528":615,"_91":616},"git log --oneline -n 3","unknown","git commit -m 'fix background responses doc examples after PR review'","git add skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md",{"_486":620,"_477":478,"_488":480},{"_549":621,"_519":604,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"git add skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md && git commit -m \\\"fix background responses doc examples after PR review\\\" && git log --oneline -n 3\"}",{"_486":623,"_477":478,"_488":480},{"_489":-5,"_504":624,"_41":-5,"_506":625,"_91":508},"gAAAAABpudMni8eIVAxYEthYBLnJjC3rShGM00MAMmLq8Th1C_LAC684tcuTtyVyWb2p55IXR-nU1gJvSD_JhDbYGPDLlzenAwomJAHBxtCnJfVXhG_dn0b3dwwmxiAEFIIFdJH5KAMNeJpUSOZERM4_c-lYp5ihxGEfh-p7UT1imw6QJpjqcai0mlflyHIYS9lsYmp-sDjRnWmD1D9q-MKp6fNd8Ew0Us9qp5nyevIaHpo4qfR7omQCn887C57wU1HwKp2uPijP-6D_TX-fBxDtcIOFsN6J28GG5stPTuSqgisHFjpFKgOR42ayU_aFw4C8_jictOanYCnQ1iLkyN7N1PfS8fKIiJm2m-vAeoFEjPqfOoI5EwWtZ6niOnOAYRcARM8wr1zVAGsH6jbyDsYpjIfWxr0vjIF7JjbPhVRuSW6s8waKIAPKQNGbXLpiRTFQAtRfAL_TIrEnbmhTmMR3mG8xhP5NWJH-vXTo2WEy62DL530-W9zV3Fq-BIJbqF9nM2CF1VciJYwUI0Z7v2WFxn2oBGp_sifwv2bwj-kiDHqHVqqMgxk-ysbS7992JKd9WUbSkRp9D3TkpwNr1zVZYNGK4JmNtvAU9QYBCGmdMSZuXX_XnsexzsUMQtDNIXJ2iAjCuyUuxTB6hmm8MPqzx9fMrkBoeaPgpfga_-4lzew5OeUQ2fM-FPFnmsqtZimt1G6s2ArmcJbJlB2AjbmEfibMO26UQkTK_e0L1Ty9tAVJonCPQhPc8fr81KQX-YQqaju_obD_sHDVlbaxIH0wdu6NC77uFMTZdtuSw4FiCOCrPIA46VSG6CsH3L54W7PQtd_40PlpG8F7uHnHOw3iQZZRQNIMsw==",[],{"_486":627,"_477":478,"_488":480},{"_489":628,"_41":629,"_506":630,"_91":508},[],"rs_0483fb359f9ede850169b9d3268798819584732cf97bc69289",[],{"_486":632,"_477":478,"_488":480},{"_519":633,"_521":634,"_91":523},"call_6jGK4DmLVWTI6Sss04rstQx0","Chunk ID: 39e60f\nWall time: 0.0512 seconds\nProcess exited with code 0\nOriginal token count: 29\nOutput:\n M skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n",{"_486":636,"_477":478,"_488":480},{"_526":637,"_528":638,"_530":639,"_532":533,"_534":640,"_536":31,"_41":633,"_537":641,"_539":540,"_483":112,"_91":541}," M skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n","/bin/bash -lc 'git status --short'",[642],51,"82251",{"_528":643,"_91":616},"git status --short",{"_486":645,"_477":478,"_488":480},{"_549":646,"_519":633,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"git status --short\"}",{"_486":648,"_477":478,"_488":480},{"_489":-5,"_504":649,"_41":-5,"_506":650,"_91":508},"gAAAAABpudMhM8ZdmNm0oDOBL387HS4fQR1qxj99nNvwgx9RrgoCEGzT8kmEgZmoy_cpHGL4DHYAR6_PxULU-aavl20GOm5wHRCRKea-5srEU1FCFapFuLeFIrrjAnv6WlRQGd3zzgVpVTIj5a6aOrQtsVqh2VZG5IELguEa6jkWRUG-0KbWyQccV2qc1NBx_4WFv4EH1ig3_9A2TIdofm-s-z2tSYQuqceXOywrBFiejqeVfy-dJaiL738rsboUr1kfGqmJ8dgXHa4UF9OIYLN6DLYZwcPWVDNvdkQUw8QVEcRG1NxMDS9_zt_FJOQ0VXnfEUW5BofZ6TQJ4k_OyaWqVQVM5T1IheWAGsUG4D9zgkmdy2AT6NajGB1iJX9YIcA342mcKwHhUXyYYaXI7rHPu1GdThM6pbTv37YO_JHU3V0W56DbBCYeDpIrKBwP2Ap8Hd8Nh1-DdodPMV_mefhTXIdBBGvbIhv9igQAJhJ-siy92Z0UY-gWoMbhTAFixUVFkD4ti0cFTtk13us5fUp90rmgdzznbTAZgNLDErt9RHSMizmghJ7XLA9zoxuS_PzF6NgBs2vDEAcxbWZS2HolBCQg82V_tdGS1ne6jFkNtqIUCRbEhSr8dvJLJBorFvjMKRPm9kVXAgFgP9jf0QVmD7Zyv1DbGmoraPittZlSFpBup6b87huZezbn9nk_M1LR4SQIwX91olvBzDwEsN6-GZy-XMQ37IbiShyrXrjHFRtY6GCeL0CxJjjNGxea0ioCU6z8LT1cS_v7qaeYck_7LzW6txmRPPmAHLa_8zlusRP6y-0HMo9fuYQdxgQ3Eg766KmUkYhG7JQUteRJ7FyH7Hq5wunLuDIqT8lbmGSA7u4K4dn_eKBhGybu7CbOcKcE3VjXOKKf6V4L3PwD8u75uAUwu6hJyZfTlN0SBBug1gchfSyDmwPE91QZDXuCySVAVJEG38I-iF9Q_fLO_9hxaJPoPDjZ4DyUHk3E1VHhWVghx3Md6so=",[651],{"_45":652,"_91":511},"**Committing resolved changes**",{"_486":654,"_477":478,"_488":480},{"_489":655,"_41":656,"_506":657,"_91":508},[],"rs_0fd2916e4caf7b770169b9d31f75dc81979ffc94f2ac2e1754",[652],{"_486":659,"_477":478,"_488":480},{"_519":660,"_521":661,"_91":523},"call_Nhqsopef6jBBvu2qqyJSoy7F","Chunk ID: 78994a\nWall time: 0.9340 seconds\nProcess exited with code 0\nOriginal token count: 11\nOutput:\nCatalog metadata is valid for 63 skills.\n",{"_486":663,"_477":478,"_488":480},{"_526":664,"_528":665,"_530":666,"_532":533,"_534":667,"_536":31,"_41":660,"_537":668,"_539":540,"_483":112,"_91":541},"Catalog metadata is valid for 63 skills.\n","/bin/bash -lc 'python3 -m py_compile scripts/generate_catalog.py && python3 scripts/generate_catalog.py --validate-only'",[669,670],933,"51064",{"_528":672,"_91":616},{"_528":671,"_91":616},"python3 scripts/generate_catalog.py --validate-only","python3 -m py_compile scripts/generate_catalog.py",{"_486":674,"_477":478,"_488":480},{"_549":675,"_519":660,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"python3 -m py_compile scripts/generate_catalog.py && python3 scripts/generate_catalog.py --validate-only\", \"yield_time_ms\": 120000}",{"_486":677,"_477":478,"_488":480},{"_489":-5,"_504":678,"_41":-5,"_506":679,"_91":508},"gAAAAABpudMdA-rkhW53WFg-j0qY62U9wjPdjaly41ZqNRY39umAiLA2bZZdXwCBbyY-5n9lgD4-TBQCmvOnP-BfIchy_CDq3_ZaKs0kqzGm5R0Vd_qJuKPrLPDgK2G4nAL2i_mLU7bGlMNxIVsp2zQst2h9FUriv5ZTVHCC57rWssbdAQ_u1jwCH-oL-_r6E1NSxKYRLdDLcDNrOEH9ZMbwufBQ14zLKjbQVUdEA4KXny7w61V1yKVckTKl8Yy2GNm6twGaTSOq0aHHmp2_qTfwl1xJY6w167X2NVywlF4kYvi0WaS41Qa5zPHNWV4GBVmc4-z_1Fj1MxGycx08oPYaFq4E_pjR76goahF496QBdHA56USn0ndaCSSZB0ZRDXfkyX0IZuQmUMkk8fFAQNR-hs4vXRfYWARQXyjTMsnWXKXNk4EYbS9mbAqTv4ln-luzn3GS9qPlLKSV4tMHsg1xwcuTYmSFsPIyLGfwEMVzK2wP-lrCC85ut3YL9RNtWYsE1Uw-7cnPCXYb3KZGQWtz54KpKZqu4q1JPvfzw3PBG2EYF8XOyGOkAMeOF7X8u-QmIx3J7Kn5lnB-IZe725wXub9zfz3YohI2i4tx36ayyV3IZc_4cKlyL40N2jvj7BwWKdhBs47zubB-sFTith4IE8uAg8Twpdxc20CVlpQG8xG5tb7HJ5veHaR8qJ7szjNRPKa9E5rbrjSlx3tJH3K9UCdy6jmi7SwAFmRzHNNfbKwefCP3iev4w_ORYaCmC5bxtQs_D1O2u3gTN7j3xd3f4LgKtI8uWUYChmYkzXqIVNM9j5eB539-qvA1XJt16kn-cVLXBB-jAYFaDbKM1uck-0x7ZMzxbg7SHpjV431InaZHtMMS3EAjeSjBrXZlykerOa6wiIvw",[680],{"_45":681,"_91":511},"**Running validation commands**",{"_486":683,"_477":478,"_488":480},{"_489":684,"_41":685,"_506":686,"_91":508},[],"rs_05f87add0b9679e60169b9d31c77948193a5d34ea0ee524628",[681],{"_486":688,"_477":478,"_488":480},{"_519":689,"_521":690,"_91":523},"call_7sCbPDgiVSXTTW9GOBCeJf9m","Chunk ID: bdc85e\nWall time: 0.0509 seconds\nProcess exited with code 0\nOriginal token count: 1200\nOutput:\ndiff --git a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\nindex d4f2ca6..57dadbb 100644\n--- a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n+++ b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n@@ -57,9 +57,9 @@ For non-streaming scenarios, when you initially run an agent, it may or may not\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n@@ -89,7 +89,7 @@ Console.WriteLine(response.Text);\n - If a continuation token is returned, the agent has started a background process that requires polling\n - Use the continuation token from the previous response in subsequent polling calls\n - When `ContinuationToken` is `null`, the operation is complete\n-- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n+- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n \n ## Streaming Background Responses\n \n@@ -97,9 +97,9 @@ In streaming scenarios, background responses work much like regular streaming re\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n@@ -114,11 +114,8 @@ await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a ve\n \n lastReceivedUpdate = update;\n \n- // Simulate connection loss after first piece of content received\n- if (update.Text.Length > 0)\n- {\n- break;\n- }\n+ // Simulate interruption\n+ break;\n }\n \n // Resume from interruption point captured by the continuation token\n@@ -144,9 +141,9 @@ Background responses also support function calling during background operations.\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent(\n name: \"SpaceNovelWriter\",\n instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n@@ -154,21 +151,23 @@ AIAgent agent = new AzureOpenAIClient(\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n AgentSession session = await agent.CreateSessionAsync();\n+AgentSession activeSession = session;\n \n AgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n \n while (response.ContinuationToken is not null)\n {\n // Persist session and continuation token to durable storage\n- await PersistAgentState(agent, session, response.ContinuationToken);\n+ await PersistAgentState(agent, activeSession, response.ContinuationToken);\n \n await Task.Delay(TimeSpan.FromSeconds(10));\n \n // Restore state (e.g. after process restart)\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n+ activeSession = restoredSession;\n \n options.ContinuationToken = continuationToken;\n- response = await agent.RunAsync(restoredSession, options);\n+ response = await agent.RunAsync(activeSession, options);\n }\n \n Console.WriteLine(response.Text);\n@@ -204,11 +203,11 @@ When working with background responses, consider the following best practices:\n ## Limitations and Considerations\n \n - Background responses are dependent on the underlying AI service supporting long-running operations\n-- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n+- Currently only OpenAI Responses API agent types support background responses\n - Network interruptions or client restarts may require special handling to persist continuation tokens\n - Function tools registered with `AIFunctionFactory` are supported during background operations\n \n ## Next steps\n \n > [!div class=\"nextstepaction\"]\n-> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n\\ No newline at end of file\n+> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n",{"_486":692,"_477":478,"_488":480},{"_526":693,"_528":694,"_530":695,"_532":533,"_534":535,"_536":31,"_41":689,"_537":696,"_539":540,"_483":112,"_91":541},"diff --git a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\nindex d4f2ca6..57dadbb 100644\n--- a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n+++ b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n@@ -57,9 +57,9 @@ For non-streaming scenarios, when you initially run an agent, it may or may not\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n@@ -89,7 +89,7 @@ Console.WriteLine(response.Text);\n - If a continuation token is returned, the agent has started a background process that requires polling\n - Use the continuation token from the previous response in subsequent polling calls\n - When `ContinuationToken` is `null`, the operation is complete\n-- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n+- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n \n ## Streaming Background Responses\n \n@@ -97,9 +97,9 @@ In streaming scenarios, background responses work much like regular streaming re\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n@@ -114,11 +114,8 @@ await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a ve\n \n lastReceivedUpdate = update;\n \n- // Simulate connection loss after first piece of content received\n- if (update.Text.Length > 0)\n- {\n- break;\n- }\n+ // Simulate interruption\n+ break;\n }\n \n // Resume from interruption point captured by the continuation token\n@@ -144,9 +141,9 @@ Background responses also support function calling during background operations.\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent(\n name: \"SpaceNovelWriter\",\n instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n@@ -154,21 +151,23 @@ AIAgent agent = new AzureOpenAIClient(\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n AgentSession session = await agent.CreateSessionAsync();\n+AgentSession activeSession = session;\n \n AgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n \n while (response.ContinuationToken is not null)\n {\n // Persist session and continuation token to durable storage\n- await PersistAgentState(agent, session, response.ContinuationToken);\n+ await PersistAgentState(agent, activeSession, response.ContinuationToken);\n \n await Task.Delay(TimeSpan.FromSeconds(10));\n \n // Restore state (e.g. after process restart)\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n+ activeSession = restoredSession;\n \n options.ContinuationToken = continuationToken;\n- response = await agent.RunAsync(restoredSession, options);\n+ response = await agent.RunAsync(activeSession, options);\n }\n \n Console.WriteLine(response.Text);\n@@ -204,11 +203,11 @@ When working with background responses, consider the following best practices:\n ## Limitations and Considerations\n \n - Background responses are dependent on the underlying AI service supporting long-running operations\n-- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n+- Currently only OpenAI Responses API agent types support background responses\n - Network interruptions or client restarts may require special handling to persist continuation tokens\n - Function tools registered with `AIFunctionFactory` are supported during background operations\n \n ## Next steps\n \n > [!div class=\"nextstepaction\"]\n-> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n\\ No newline at end of file\n+> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n","/bin/bash -lc \"git diff -- skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | sed -n '1,220p'\"",[697],"29847",{"_528":698,"_91":616},"git diff -- skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md",{"_486":700,"_477":478,"_488":480},{"_549":701,"_519":689,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"git diff -- skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | sed -n '1,220p'\"}",{"_486":703,"_477":478,"_488":480},{"_489":-5,"_504":704,"_41":-5,"_506":705,"_91":508},"gAAAAABpudMbHPopvj4vJEPr3WPhD_m3kvlUTYuENUWz5rVb_QMwpLOdYegFNQL5XBPr7W1CGNKjakIxWcUOteGBhyk6DlNI6Vlx7PtEn6RBbLcHyQXqAmbc0ea9ydLBiSnq_yv5RrKCe8w21n1C8ClxdYUZIPmHbyVCQnH9vK5ACDGtZwIDtVcU9YfHuan3Zm7NPdjgxtFpboPdylR_voN3J7kI1cYbh9aCFkQ3rWGtFHuNadOtWSCNOu8AMOBEmbUfM6CbLxmEOS6FloOMEAliOGRwQ5P54wgL5fQZBmjN_v0JCXa10qBQRrKrdHME0RDBX6Snc0dzigZbaTBKR3Lw-dksykNLRAF7gMhnZnCnJwyN8-swqJToSr877HSGi53DMREQ0TcIAcAGwFOIsqBq9o9FQPrOb-9VqR4-bVjJw7vflVbPgsVHyjluPCOR4-pwLozlF-0olD_1WcHP-w9QdI-8wT_JxtgBr9EwRRRaRSdbcQb66CYYmHXJtAmtarfRUAfxB0yjdfAvzEIQ8TNPIRuauIU4IvLVza0fW0eV6K4gS2XmwNcCF4hVXVKYHvDgcqhqc2eClm7lZfaggQkLl9VciF5ofEA2etE8YTzvEm9a7FhUCeUY_gKaXzy2PHYIWmGLqO1lqIGXvhT3KJCZYSnQgW4ONPqtPK60TGydb8vfKariDPxSAxROyeXikDx4HefTPH5_A3r3MAgUktbx8meTmEamnmHIOtsfjip2ERIRFe6P6dMzQx3kQbyX2mzk__uJGDa0Buv6WMo6vTyugw95wcJYufHpaeHWjkD92F0Bj9_YnwyUwAWii7cUUhUy0Q6SigDcOa04hOw-7PilVxriCqWBQGO4kfJMI4Wlhaqm0yl7UTn7mOFyucCPSSLc-Y4xHS2rWVJsxq9t_lzqz7eSmibK7bqB-2taL4DLop8aAWYa42dbve2eT9UC7BHSmT8ZlrUNDrB7V34UNKInkWK0GQh2WAXkOcpsSqFhoZvTCRt-IKauUNo_9DATn-o_eMeHXo4EzbguKx_wslAoL0qbcQb_CFh_YH5GTQm6PlhX30hSxhEDyG8S6sF7pKYry9zslQOCg3apXycwyN8T-9KGXaI_OM9bbGa_ymReF5mQ68Sk3kcGOTMMR1Io_sml-UfHCgux5ggDbEHIwZeIk4WM0RC7dBEaaBNB-pJT81vesZqXhIDJBjEFbcOsZhZoB3XQ_9sCqXs-1bUJ7Pg-BYeVNgcpPA==",[706],{"_45":707,"_91":511},"**Checking patch relevance and diffs**",{"_486":709,"_477":478,"_488":480},{"_489":710,"_41":711,"_506":712,"_91":508},[],"rs_01f375907f4a7e7a0169b9d3198564819499335ca718413eec",[707],{"_486":714,"_477":478,"_488":480},{"_519":715,"_521":716,"_91":523},"call_zgfMJHWL9hbu4TODFCfL9Bxz","{\"output\":\"Success. Updated the following files:\\nM skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}",{"_486":718,"_477":478,"_488":480},{"_719":720,"_41":715,"_483":112,"_91":721},"changes",[722],"fileChange",{"_380":723,"_9":724,"_191":725},"@@ -59,5 +59,5 @@\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n@@ -91,3 +91,3 @@\n - When `ContinuationToken` is `null`, the operation is complete\n-- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n+- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n \n@@ -99,5 +99,5 @@\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n@@ -116,7 +116,4 @@\n \n- // Simulate connection loss after first piece of content received\n- if (update.Text.Length > 0)\n- {\n- break;\n- }\n+ // Simulate interruption\n+ break;\n }\n@@ -146,5 +143,5 @@\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent(\n@@ -156,2 +153,3 @@\n AgentSession session = await agent.CreateSessionAsync();\n+AgentSession activeSession = session;\n \n@@ -162,3 +160,3 @@\n // Persist session and continuation token to durable storage\n- await PersistAgentState(agent, session, response.ContinuationToken);\n+ await PersistAgentState(agent, activeSession, response.ContinuationToken);\n \n@@ -168,5 +166,6 @@\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n+ activeSession = restoredSession;\n \n options.ContinuationToken = continuationToken;\n- response = await agent.RunAsync(restoredSession, options);\n+ response = await agent.RunAsync(activeSession, options);\n }\n@@ -206,3 +205,3 @@\n - Background responses are dependent on the underlying AI service supporting long-running operations\n-- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n+- Currently only OpenAI Responses API agent types support background responses\n - Network interruptions or client restarts may require special handling to persist continuation tokens\n@@ -213,2 +212,2 @@\n > [!div class=\"nextstepaction\"]\n-> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n\\ No newline at end of file\n+> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n",{"_726":-5,"_91":727},"/workspace/dotnet-skills/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md","move_path","update",{"_486":729,"_477":478,"_488":480},{"_489":730,"_491":-5,"_41":-5,"_492":-5,"_95":381,"_91":493},[731],{"_45":732,"_91":733},"Warning: apply_patch was requested via exec_command. Use the apply_patch tool instead of exec_command.","input_text",{"_486":735,"_477":478,"_488":480},{"_549":736,"_519":715,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"apply_patch <<'PATCH'\\n*** Begin Patch\\n*** Update File: skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\\n@@\\n AIAgent agent = new AzureOpenAIClient(\\n- new Uri(endpoint),\\n+ new Uri(\\\"https://.openai.azure.com\\\"),\\n new DefaultAzureCredential())\\n- .GetResponsesClient(deploymentName)\\n+ .GetResponsesClient(\\\"\\\")\\n .AsAIAgent();\\n@@\\n - Use the continuation token from the previous response in subsequent polling calls\\n - When `ContinuationToken` is `null`, the operation is complete\\n-- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\\n+- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\\n@@\\n AIAgent agent = new AzureOpenAIClient(\\n- new Uri(endpoint),\\n+ new Uri(\\\"https://.openai.azure.com\\\"),\\n new DefaultAzureCredential())\\n- .GetResponsesClient(deploymentName)\\n+ .GetResponsesClient(\\\"\\\")\\n .AsAIAgent();\\n@@\\n await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\\\"Write a very long novel about otters in space.\\\", session, options))\\n {\\n Console.Write(update.Text);\\n@@\\n- // Simulate connection loss after first piece of content received\\n- if (update.Text.Length > 0)\\n- {\\n- break;\\n- }\\n+ // Simulate interruption\\n+ break;\\n }\\n@@\\n AIAgent agent = new AzureOpenAIClient(\\n- new Uri(endpoint),\\n+ new Uri(\\\"https://.openai.azure.com\\\"),\\n new DefaultAzureCredential())\\n- .GetResponsesClient(deploymentName)\\n+ .GetResponsesClient(\\\"\\\")\\n@@\\n AgentRunOptions options = new() { AllowBackgroundResponses = true };\\n AgentSession session = await agent.CreateSessionAsync();\\n+AgentSession activeSession = session;\\n@@\\n while (response.ContinuationToken is not null)\\n {\\n // Persist session and continuation token to durable storage\\n- await PersistAgentState(agent, session, response.ContinuationToken);\\n+ await PersistAgentState(agent, activeSession, response.ContinuationToken);\\n@@\\n // Restore state (e.g. after process restart)\\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\\n+ activeSession = restoredSession;\\n \\n options.ContinuationToken = continuationToken;\\n- response = await agent.RunAsync(restoredSession, options);\\n+ response = await agent.RunAsync(activeSession, options);\\n }\\n@@\\n-- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\\n+- Currently only OpenAI Responses API agent types support background responses\\n*** End Patch\\nPATCH\"}",{"_486":738,"_477":478,"_488":480},{"_489":-5,"_504":739,"_41":-5,"_506":740,"_91":508},"gAAAAABpudMMJeBQFogTItWKiSGVnepwoA46O6JKqeLzSX_JRs6zj5Csu5-MX_MKfFIks51SlClycCjSfWQTWDyzHyZLI622JvrSHm5fY_Ils8fu625K-gCgRtMgWLnUEeAAq-v8nO06EBTquteVLujKBHZtWLmql0mucxAPSCxbz0djaxl2TA65PQZIuzQ-E_hI43ylKrMWoNjIXVXgPX1ToOmbNu-gEWiRmXB6ZDpsaJ1b4OKjptCz6rxhXNbjtABa0ZCP6TnZaU512hVF28UvuKTmyT5tYeMvW6Wy4YYvFKKydHIhWS1AdYWJRWFzWBnB69rygtVTO_odIGy63GXpjKdeFd3D5MNucYKV2sDE_MLg7ZIMjJ7zZz7-VIsPwLTALVLNNa6RNr4b-O4TUe7T6mn_px80x3ejhDsRMzRTghEMCcPkXcXTZ6-K4MA_xaGFpuBZVBzaK68Coo2ZafsBrghrt6893QnO2HnG-iqIEVXpoEOR6eHAgXU7uWjeW2a-K4IFiekUDC_DxD_sx4itqqlDmPTWcjzCFx3Xhvo0ZnZuT-WVR3B8E2MrmhQQFzg9Y4rDP9UDcvej4vM1_88N9rOdAay-BG3mlBGVwCeti_l7JzBR5V-q_iQyXmHf777SnF0T_Kp_xCRNogeGaay4ByaQ6TxwqCCXEcoq1qVVFYGo7eDRpZoYXTH47emg5mBpagoCxyxyeKq_sT7elm7hmY4l72-Ud8jpBtNJFVFJh8qtc02vbUH5Nkghn7X5SDXof6sjFMin1k_qkjVmXwMc6yx85NmOlXVWcdC50Da0M0n1vJgE-jT3sgRFqhCXLal6eUfvpLTSxSrhjYyM1iPWpaYOZsPmXpD_5DN77gKY2m9zhVK2hTUeU9DSVYaXI0l7O4vb8i5BI9UDalbtm12TDecoPtOmPQREH24yz4KCt1wpsb4WxtKrTEsFpYdBQ1dfBnZL4IQfhRncyjSLF8lIgZ7TAPDhzm6AUgRDrvSQieanfwk2rN-bweRzPKZcby4LXfluH0-8SO4_OXujwZKNcA31wjQfK0ux8DkV4BHGM8K3g_vI-s4hs-1S3RgY3Ol8FHHL3KcD15hmmJaSPmQlSDM-i2jl2AKiM1Dl14CTZ3LAJQlWAF40_M1pvA3ZfwZ8zFGmx-o-w1Tk3UZDLK5yba24zv1iJAOzFZD9pXrLxcZM1k8Tqa_e1UQlE30Hf1KeInP-3V9xrTdW5ozGrEokCqr3KnlDyxA-lVcgY1ebXFGyao9NErR32hLu8q-La71J2Uiub32vwFtTetT-xoIifAoxKg92AcfUM41TJBHYuA1hz1TIVqgTukLhH0hLZzEuNpluFdJ92IZuFgSk0elV9aegbuOJpRu-tjZAKBA7017xNpxM91v5xPG70-qPmPshVc4UyCA-ybkf2GKLUsIuhsvXQOSliPeMqNI5VlmEtzllWyO1r-J_RUwy5QCL0-YOV6JkWByRYU9bMnw63K5jK3GMuSovAXQpOt26c3dLnhzxXrPL0tJWfNSCh0px3Gv60kgZhcKjgdKHRg51bl2JUBMLV4jVJJA-W_FQ5Uf3nCUgoMlM1PfXCLl6U8iQCZF46mrBn6HMSFv6Pxz2X29I20dXoLhV3fOABE3AwBSb9FehKdIuDVbF8YXNbDFIYH9nk9-DuCmS4f3uA9Setu0_AFdpF8uznuOQ3ZI4drVFAAxA1CLq11z1PdT87YbOaicwzIl_OCl1lvo4aYk-dseb6RtKYY8U_p6u8suZ3tFOhv59iSv1vbY275KgUsKB5r7E9XfaYCXr8znfgH1BBVj4rNpofwG9Pa-C9YVG9ZCO6CM74rCm-TKIsuRvILDZnHbIUlnNlHe5LfvgFwzdD4HIZRlmvAy9M_ha16Az1N9looo6jl4bIGt5rcPU_c9v2nQ_opjDIWFIgLcITok_meYYlFaICxPUhUjFo6pw36D_MxxbMcF-GdUHhTsqlSvE1zcgNH5lDq5slAbKKVK9445T9J-gqHOp0w==",[741],{"_45":742,"_91":511},"**Planning documentation and skill update**",{"_486":744,"_477":478,"_488":480},{"_489":745,"_41":746,"_506":747,"_91":508},[],"rs_0348df183c06cbed0169b9d3092d688193a9dfc7910f8528de",[742],{"_486":749,"_477":478,"_488":480},{"_519":750,"_521":751,"_91":523},"call_5tvaglbJ1priFfUWLfcfSe7B","Chunk ID: efa68f\nWall time: 0.5423 seconds\nProcess exited with code 0\nOriginal token count: 1758\nOutput:\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r100 58908 100 58908 0 0 99316 0 --:--:-- --:--:-- --:--:-- 99316\n

Scenarios where you want to start a long-running task and check back later for results

\n\n

How Background Responses Work

Background responses use a continuation token mechanism to handle long-running operations. When you send a request to an agent with background responses enabled, one of two things happens:

Immediate completion: The agent completes the task quickly and returns the final response without a continuation token
Background processing: The agent starts processing in the background and returns a continuation token instead of the final result

The continuation token contains all necessary information to either poll for completion using the non-streaming agent API or resume an interrupted stream with streaming agent API. When the continuation token is null, the operation is complete - this happens when a background response has completed, failed, or cannot proceed further (for example, when user input is required).

Enabling Background Responses

To enable background responses, set the AllowBackgroundResponses property to true in the AgentRunOptions:

AgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n

Note

Currently, only agents that use the OpenAI Responses API support background responses: OpenAI Responses Agent and Azure OpenAI Responses Agent.

Some agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the AllowBackgroundResponses setting.

Non-Streaming Background Responses

For non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:

AIAgent agent = new AzureOpenAIClient(\n    new Uri(\"https://<myresource>.openai.azure.com\"),\n    new DefaultAzureCredential())\n    .GetResponsesClient(\"<deployment-name>\")\n    .AsAIAgent();\n\nAgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n\nAgentSession session = await agent.CreateSessionAsync();\n\n// Get initial response - may return with or without a continuation token\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n\n// Continue to poll until the final response is received\nwhile (response.ContinuationToken is not null)\n{\n    // Wait before polling again.\n    await Task.Delay(TimeSpan.FromSeconds(2));\n\n    options.ContinuationToken = response.ContinuationToken;\n    response = await agent.RunAsync(session, options);\n}\n\nConsole.WriteLine(response.Text);\n

Warning

DefaultAzureCredential is convenient for development but requires careful consideration in production. In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid latency issues, unintended credential probing, and potential security risks from fallback mechanisms.

Key Points:

The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)
If no continuation token is returned, the operation is complete and the response contains the final result
If a continuation token is returned, the agent has started a background process that requires polling
Use the continuation token from the previous response in subsequent polling calls
When ContinuationToken is null, the operation is complete

Streaming Background Responses

In streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:

AIAgent agent = new AzureOpenAIClient(\n    new Uri(\"https://<myresource>.openai.azure.com\"),\n    new DefaultAzureCredential())\n    .GetResponsesClient(\"<deployment-name>\")\n    .AsAIAgent();\n\nAgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponseUpdate? latestReceivedUpdate = null;\n\nawait foreach (var update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n{\n    Console.Write(update.Text);\n\n    latestReceivedUpdate = update;\n\n    // Simulate an interruption\n    break;\n}\n\n// Resume from interruption point captured by the continuation token\noptions.ContinuationToken = latestReceivedUpdate?.ContinuationToken;\nawait foreach (var update in agent.RunStreamingAsync(session, options))\n{\n    Console.Write(update.Text);\n}\n

Key Points:

Each AgentResponseUpdate contains a continuation token that can be used for resumption
Store the continuation token from the last received update before interruption
Use the stored continuation token to resume the stream from the interruption point

Tip

See the .NET samples for complete runnable examples.

\n",{"_486":753,"_477":478,"_488":480},{"_526":754,"_528":755,"_530":756,"_532":533,"_534":757,"_536":31,"_41":750,"_537":758,"_539":540,"_483":112,"_91":541},"\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r100 58908 100 58908 0 0 99316 0 --:--:-- --:--:-- --:--:-- 99316\n

Scenarios where you want to start a long-running task and check back later for results

\n\n

How Background Responses Work

Background responses use a continuation token mechanism to handle long-running operations. When you send a request to an agent with background responses enabled, one of two things happens:

Immediate completion: The agent completes the task quickly and returns the final response without a continuation token
Background processing: The agent starts processing in the background and returns a continuation token instead of the final result

Enabling Background Responses

To enable background responses, set the AllowBackgroundResponses property to true in the AgentRunOptions:

AgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n

Note

Currently, only agents that use the OpenAI Responses API support background responses: OpenAI Responses Agent and Azure OpenAI Responses Agent.

Non-Streaming Background Responses

AIAgent agent = new AzureOpenAIClient(\n    new Uri(\"https://<myresource>.openai.azure.com\"),\n    new DefaultAzureCredential())\n    .GetResponsesClient(\"<deployment-name>\")\n    .AsAIAgent();\n\nAgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n\nAgentSession session = await agent.CreateSessionAsync();\n\n// Get initial response - may return with or without a continuation token\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n\n// Continue to poll until the final response is received\nwhile (response.ContinuationToken is not null)\n{\n    // Wait before polling again.\n    await Task.Delay(TimeSpan.FromSeconds(2));\n\n    options.ContinuationToken = response.ContinuationToken;\n    response = await agent.RunAsync(session, options);\n}\n\nConsole.WriteLine(response.Text);\n

Warning

Key Points:

The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)
If no continuation token is returned, the operation is complete and the response contains the final result
If a continuation token is returned, the agent has started a background process that requires polling
Use the continuation token from the previous response in subsequent polling calls
When ContinuationToken is null, the operation is complete

Streaming Background Responses

AIAgent agent = new AzureOpenAIClient(\n    new Uri(\"https://<myresource>.openai.azure.com\"),\n    new DefaultAzureCredential())\n    .GetResponsesClient(\"<deployment-name>\")\n    .AsAIAgent();\n\nAgentRunOptions options = new()\n{\n    AllowBackgroundResponses = true\n};\n\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponseUpdate? latestReceivedUpdate = null;\n\nawait foreach (var update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n{\n    Console.Write(update.Text);\n\n    latestReceivedUpdate = update;\n\n    // Simulate an interruption\n    break;\n}\n\n// Resume from interruption point captured by the continuation token\noptions.ContinuationToken = latestReceivedUpdate?.ContinuationToken;\nawait foreach (var update in agent.RunStreamingAsync(session, options))\n{\n    Console.Write(update.Text);\n}\n

Key Points:

Each AgentResponseUpdate contains a continuation token that can be used for resumption
Store the continuation token from the last received update before interruption
Use the stored continuation token to resume the stream from the interruption point

Tip

See the .NET samples for complete runnable examples.

\n","/bin/bash -lc \"curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' -o /tmp/agent-bg.html && sed -n '760,870p' /tmp/agent-bg.html\"",[759,760],542,"14315",{"_528":764,"_91":616},{"_528":761,"_241":762,"_191":763,"_91":546},"sed -n '760,870p' /tmp/agent-bg.html","agent-bg.html","/tmp/agent-bg.html","curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' -o /tmp/agent-bg.html",{"_486":766,"_477":478,"_488":480},{"_549":767,"_519":750,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' -o /tmp/agent-bg.html && sed -n '760,870p' /tmp/agent-bg.html\"}",{"_486":769,"_477":478,"_488":480},{"_489":-5,"_504":770,"_41":-5,"_506":771,"_91":508},"gAAAAABpudMGIavgGaBQgKctYEoUDDOCyQlENyUXaLnFBg302D2wfb0X3yNGTAnayHIU1hBgr8xy2f4VMN4t7i5TU-0HFxfekXDjdfviuqmianGkiP7nGi_LEVD9jgCJu0him3wnw81P3sRGbxWDjPi3JLS1BEMeLnZmVc77j_sxlXrmgd3Z6vbZD20WMmd3fS1u4TMhUShlTMn4iarR8iXX1iqSXUCib0RmeLPl5VwM_h8Mv2cgsK55CFAgMcJ0dB3dk6euNWq57PRhxeNXNEhpf3n2P1ZuNnESH-0YqlfjaLgwHCeu534ADnSbo5Lmv4O7STME93RcnBT6wo7-3J-_aNyYri7AFUMdN9XNDfwKGCbbIOcuY7y9r4px1qd-vCoU698cAWpkPfmBiRBHzyP6L-4QJ3sjDDqQ6XQAjwBdwHYwteQZFTG8YqOsmFPovDH_Kx5cG3EW9XNDux5TvIrhsYFQqJT5n_8xRRA1jNm7T5YNYrp3Q6D0ptZjG7cTqhofcld2ahjYK13BlikLLshOtg_WWzbSJUkNTT0v4eb3Xz97865n3wl0ILzr1595egipCglK8-t48zuOjZG2Ko4pfGxJsNvqRqwPWwk1Dy27f6ZSTZqDcmJA90qrjYhgoXD4DExUTEAp91ZkYHQyc3x3Cp1qrNsaxrFF_dcl8-A3AJRFp1DDdiAlpPdvISWs_JhCYmt159-j8cfm0D-_MZP0iUfMRu49D2Wjfxx5nAAJdnaYwyH89CYFvAvRxcwRaYlcUU8JOh1uejipQ6VMOyEMGMsBW8rBAal5W451SDHTwQpxWroaxZw2_wK4DxULRZfIX6VGRs8OJPPv86WVweLjm3otyFSIOAggipUM5xw_bc9tEXcLIHta2CKTyEPNDu4J2iSU2ab7c4fzZLt916lxwZWlAXa2iadVycYHoobWtYb_S2H673o3OAYeMBv8wqW1eeLfRH8tFcdwSdtVW-u9x9MlZ6pNAR4KYrrS5X4UMvJnS8_m2ywnbGqeu1zGUMTPFG7E0vpw",[772],{"_45":773,"_91":511},"**Planning exact snippet extraction**",{"_486":775,"_477":478,"_488":480},{"_489":776,"_41":777,"_506":778,"_91":508},[],"rs_0617a7abc7c560a40169b9d305d96881949456d52b66cadd5e",[773],{"_486":780,"_477":478,"_488":480},{"_519":781,"_521":782,"_91":523},"call_X9zi5COLhkq5ZRgY9aj91GBA","Chunk ID: eaa4eb\nWall time: 0.7660 seconds\nProcess exited with code 0\nOriginal token count: 301\nOutput:\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r100 58908 0 58908 0 0 71687 0 --:--:-- --:--:-- --:--:-- 71687\n786: new DefaultAzureCredential())\n787: .GetResponsesClient(\"<deployment-name>\")\n795:AgentSession session = await agent.CreateSessionAsync();\n814:

\n828: new DefaultAzureCredential())\n829: .GetResponsesClient(\"<deployment-name>\")\n837:AgentSession session = await agent.CreateSessionAsync();\n",{"_486":784,"_477":478,"_488":480},{"_526":785,"_528":786,"_530":787,"_532":533,"_534":788,"_536":31,"_41":781,"_537":789,"_539":540,"_483":112,"_91":541},"\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n\r100 58908 0 58908 0 0 71687 0 --:--:-- --:--:-- --:--:-- 71687\n786: new DefaultAzureCredential())\n787: .GetResponsesClient(\"<deployment-name>\")\n795:AgentSession session = await agent.CreateSessionAsync();\n814:

\n828: new DefaultAzureCredential())\n829: .GetResponsesClient(\"<deployment-name>\")\n837:AgentSession session = await agent.CreateSessionAsync();\n","/bin/bash -lc \"curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' | rg -n \\\"CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName\\\"\"",[790,791],766,"73699",{"_528":796,"_91":616},{"_528":792,"_191":-5,"_793":794,"_91":795},"rg -n 'CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName'","query","CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName","search","curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp'",{"_486":798,"_477":478,"_488":480},{"_549":799,"_519":781,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' | rg -n \\\"CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName\\\"\"}",{"_486":801,"_477":478,"_488":480},{"_489":-5,"_504":802,"_41":-5,"_506":803,"_91":508},"gAAAAABpudMDMscgzDbeVeBPDPaRnZNLDD5xLC7IGSLt_fpQQLRcTw2gGRhbL2E28Ci2ON_eTXoigmxFVN0wUrC6LsYmu4yM-AiT6GlRuCsg4BSrvkYIVq0fWAUCO793KZpoOI2lT8e1R1hemf_Z-9anKCuqOBE-yCNlcqbT1WpRTAq0oiZeb99_JiufQRhg-ENW9yRHeXR8cuy3xiYYv6TrYCxOvJOS6Y7BbhLks36DSXlKadF6dkyAPPZPSp24hDFuz5Zg5FDhwaRj8ZObWobE__WFSu55j7MCSA8pVVX8YjDxD_yJ9nBi36APJ_QjX19Uz5HvWQvyKSa_pUxmtkkaTQCT3DjOAPYi679MyRCpPMByafBSfcVxRNJSYzE3MGkRQ0YdlIv6IHoif1h7HSy9TI9ZVxygBkMvCb0mh_ETMNPdV79K2PPJg9GpRxeUT-Nu_PbSHH18Su4gz8oscDPd0Qv3Nt2VJQkM2n6-HC4-5qErYA-LxbuW7dPUmPlPAmrvVpBi3Bu8pPdtEb5wT5jNXxshOE9KXmIvcmaNVJqRdnaH-9Vqhtnqk3Yoo7rJZ-bl9xz3tGxZrf7yTENxQFcFrz89iPOw83iTtYf3Y8VPJI0N28jCny1AiwBtHyPVCp6Dyp-k7cmuo-CHltoZeBPshd7QOS7deCqadD88yN5zNSCgyuLJ7gKmh51dAYSFi_YlWqKndlngl_Xv8cxEeR0tuXfuLheLBwgbeOCAzt2V2EzYEsT3506g1ZnTsmrTR-QE_Smq0Lll2TxjxqEVdkwfNNKlU0CfjcfFhCsDVyOq7m-iXGRTd_IKePSvQG9CZvjXJp4zJqoms-u5P5zYyHPjSHogO9bUDwVwTkxSZBEVyIy7sh0XD1k=",[],{"_486":805,"_477":478,"_488":480},{"_489":806,"_41":807,"_506":808,"_91":508},[],"rs_017f25ba507001930169b9d30274e881978bedcadff43bd8b8",[],{"_486":810,"_477":478,"_488":480},{"_519":811,"_521":812,"_91":523},"call_LBmUTU2Re0cbaU30thXv2h94","Chunk ID: f89bbc\nWall time: 0.3977 seconds\nProcess exited with code 1\nOriginal token count: 31\nOutput:\nTraceback (most recent call last):\n File \"\", line 1, in \nModuleNotFoundError: No module named 'requests'\n",{"_486":814,"_477":478,"_488":480},{"_526":815,"_528":816,"_530":817,"_532":533,"_534":818,"_536":819,"_41":811,"_537":820,"_539":540,"_483":821,"_91":541},"Traceback (most recent call last):\n File \"\", line 1, in \nModuleNotFoundError: No module named 'requests'\n","/bin/bash -lc \"python3 - <<'PY'\nimport requests, re\nurl='https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp'\ntext=requests.get(url,timeout=20).text\nfor pat in ['CreateSessionAsync','AgentSession','GetResponsesClient','GetOpenAIResponseClient','endpoint','deploymentName','update.Text.Length']:\n print(pat, pat in text)\nPY\"",[822],397,1,"57029","failed",{"_528":823,"_91":616},"python3 - <<'PY'\nimport requests, re\nurl='https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp'\ntext=requests.get(url,timeout=20).text\nfor pat in ['CreateSessionAsync','AgentSession','GetResponsesClient','GetOpenAIResponseClient','endpoint','deploymentName','update.Text.Length']:\n print(pat, pat in text)\nPY",{"_486":825,"_477":478,"_488":480},{"_549":826,"_519":811,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"python3 - <<'PY'\\nimport requests, re\\nurl='https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp'\\ntext=requests.get(url,timeout=20).text\\nfor pat in ['CreateSessionAsync','AgentSession','GetResponsesClient','GetOpenAIResponseClient','endpoint','deploymentName','update.Text.Length']:\\n print(pat, pat in text)\\nPY\"}",{"_486":828,"_477":478,"_488":480},{"_489":-5,"_504":829,"_41":-5,"_506":830,"_91":508},"gAAAAABpudL9eeFPd0thBhXRX6rejtoD1ifSxYf4GusVpKVeN-tnE5WfMLY76IgwKpTOv7wO2rb85ixPtQ1vxsE2wiaiEDXPl16mzjxnPk77XiR2LpClGaTEMQyNpYjEX7U_SNJT6aAvx7f8ek8iUjJD_b71I8hDDXdIpN_TscuRcNKhiM81eS-ictBBvili5ZKuKjofCXx7ETjm0CVO36emQ0Ytecpz-0M5STqydYN-mJhJaVY5fsadLTJ7JWcuuLLy_IcLharbOztTahbrCJ_v6sfvkKqI4APcteq5x3rzKv_LyRxnb-1rG0hy8-tuX8RYOZaWTJKhmsLwyv7iY2N1HwJLnif_Qy4m51EqciEraF76UVi7odHFoM83FvlVzpC55e97b04FFWHWtSNWEa5zg4ukzw71raIt94tSOJWaRWUE30S_qfkHWb-31eND_AVpy6r-RZme5azmO7S7PrKdGOvm_bOX_NxcAmMml7flkTRZLgOQF28Iy3s6EmcBVrGxNy5eIUpBbePkWOsdKXPdqE50AugvzhfU9PI0XheIcr2y_PPcFPKeUr6f2BrnVNAUFm52PN5lIdgXdb-azgJmbfV3FTgMNKkgA6YShIm9HizHlS20fwljj4FoE0_mQSMq6_XU-ZFP3oQ6di2QTwNBvFb9uJ0N4yX1h1TroMPK4nN8Jp8mlhId7VcbYgEX3_jw8EmvD5uLxlD7t1U0eUjPwuRFPhgCYmqXTc29584JweFLVTugk_7H53RFuPTC9m_6BcxSwkIYu-FYQkbBptOjWp_qS9vYTwfyKodiXM7uSH76bhoN3Om0IlXCu8D3arTewaUsTAIitmFoOlTshdxZnu818lIrhhcritMmy2Ox8WSokFRaPIBd4GdvnVBAaIljSEDhctFe4KmrGHAXHt-cDU88cuaC-_r_5MWQDDpd3u_x0A5zNDW4flNWGsxlokD025aKPXfp9qA5dOjCXPF19k5g4WpHNkypDvG98yKZGNb_8dJUA5mGa_nXaYa8WcBMObxlhPwoURLrd9plIIEBsH0wVuSm9LWpkUKIlAsIu46rK0hf3dIaX8_u6YFErEdIsgrRMoMoJYWxMfp3GplCemVg09PrcKGnGtuot-hS9Mo6dvRLtesDZYeTqlJ7lVfCbQ7NGroQDYwLeR6Niqol2dsbfseKnMVHZ9XiQB8DtMkdass4c8xE5dBWYviB9sIhRdcTQXKbsx20F0Do2x_Z-gWDj3qH-BtQohyTLBjTqXHVJ0o-xATg7RNkiGJVMUEITUFlxk0a",[831],{"_45":832,"_91":511},"**Planning web verification steps**",{"_486":834,"_477":478,"_488":480},{"_489":835,"_41":836,"_506":837,"_91":508},[],"rs_0d8e1dc989988b7c0169b9d2fb56fc8194b30857f636895e0e",[832],{"_486":839,"_477":478,"_488":480},{"_519":840,"_521":841,"_91":523},"call_7xUxuNG2hbqGYcDK5xFN5iLD","Chunk ID: 028011\nWall time: 0.0511 seconds\nProcess exited with code 0\nOriginal token count: 634\nOutput:\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:731:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:733:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:756:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:547: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:549: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:561: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:572:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:574:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:580:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:965:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:967:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:977:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-types/azure-openai-responses-agent.md:483: print(\"\\n=======================================\\n\")\n./skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/workflows/orchestrations/group-chat.md:295:================================================================================\n",{"_486":843,"_477":478,"_488":480},{"_526":844,"_528":845,"_530":846,"_532":533,"_534":640,"_536":31,"_41":840,"_537":847,"_539":540,"_483":112,"_91":541},"./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:731:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:733:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/state-management.md:756:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:547: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:549: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:561: Console.WriteLine(\"============================================================\");\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:572:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:574:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:580:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:965:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:967:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/integrations/ag-ui/human-in-the-loop.md:977:============================================================\n./skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-types/azure-openai-responses-agent.md:483: print(\"\\n=======================================\\n\")\n./skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/workflows/orchestrations/group-chat.md:295:================================================================================\n","/bin/bash -lc 'rg -n \"<<<<<<<|>>>>>>>|=======\" -S .'",[848],"20802",{"_528":849,"_191":850,"_793":851,"_91":795},"rg -n '<<<<<<<|>>>>>>>|=======' -S .",".","<<<<<<<|>>>>>>>|=======",{"_486":853,"_477":478,"_488":480},{"_549":854,"_519":840,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"rg -n \\\"<<<<<<<|>>>>>>>|=======\\\" -S .\"}",{"_486":856,"_477":478,"_488":480},{"_489":-5,"_504":857,"_41":-5,"_506":858,"_91":508},"gAAAAABpudL5Lk5VeDPTRwHF7mIT3aFo7CFPQ8mPDhsL1d6M2KZGwbdD_3F6OGhWSeos5InMh7Q46Tea1RSiFqd4wqBU2Guw68sdVUBw_2cxYlZNa1U8a9XN1BT4UWmePfOhiYAU-RRI7Ajei2bznIMTbBFOwGmJrDdokks9JfneCSmE3alzEIuFgl1NY7RzBORdfoxQlwVOwQZydk_oFVfV_xAf-AhpjxFbgJiAm3GWlLbSAct5BRgJeWXLcJL0st4jT4HTUDXS11Jr0x68d63aOc3ioyj4X2ESm_xLpwO9KFujNiItFQo2tbN7Y67UrmAxDZRlbSrD-XiYS40ET3eXzZ8St6YJ7bFKQsiz_Ky2xdPWtC-P6WDB70EYJB684airvFXYoR9vabtnsBwlZzjm_upjBItXBuBbyriddA_Ar9ezWejgfcVxwVB3I8kdt8lsILaAl-1gMsU33Xy3M78g9MyIw6W0NWyeKfc3bd2v-inBKV3dFiqPyyv9yC4yXVhovzVbgg5Xp0XnCRN7wtZ06qlenYhb3le59vZf6wmIml8BlnfHk-SDRQ96k0vJag7Mnp5xhBxOwjb56No3UmvOTfRb7NB1jkdrFiDKqmSZSbJVbj-rWDQMwLG7utz6o5CiiBHTLvfzOuTCa7fbtCczevz2wKy1C2WrZlVfYFZqBIedXsaUy_GfV7YcvGZF9HyMRNOpjx4lMRUu9t6Kj_QPKIWC3VvMIPMr0tLdcYlOGXlWjGygCaLH3Z7YML9lWJbBQdbyBdrDbE7G4ggYwtEZYjQIfNJoUCc8ezztzwATfRlPejei4sT_CK4m8SCL53ycPdNBieTW_nb1EocC4xS4axfeztBJIQVljtflCfYPRdg6mMGb1wHCo9ZH36jb_OGBWxY9rfNTV9ft6zx0-yFdcOVG2uxg5eSd_-Y4rtp74T0HGIwBOdhcvwNk-UhJKbOtqYhGFX4Y2YzN3I6mq3b8qDV98mO1OOu5XQMHtwly_nAf1-vEf9k=",[859],{"_45":860,"_91":511},"**Checking conflict markers**",{"_486":862,"_477":478,"_488":480},{"_489":863,"_41":864,"_506":865,"_91":508},[],"rs_0e090935767033430169b9d2f8269481969b11fc23eff09750",[860],{"_486":867,"_477":478,"_488":480},{"_519":868,"_521":869,"_91":523},"call_7eXKXMaDwmp7fEDHbc4dIau2","Chunk ID: b66731\nWall time: 0.0513 seconds\nProcess exited with code 0\nOriginal token count: 2589\nOutput:\n---\ntitle: Agent Background Responses\ndescription: Learn how to handle long-running operations with background responses in Agent Framework\nzone_pivot_groups: programming-languages\nauthor: sergeymenshykh\nms.topic: reference\nms.author: semenshi\nms.date: 03/17/2026\nms.service: agent-framework\n---\n\n# Agent Background Responses\n\nThe Microsoft Agent Framework supports background responses for handling long-running operations that may take time to complete. This feature enables agents to start processing a request and return a continuation token that can be used to poll for results or resume interrupted streams.\n\n> [!TIP]\n> For a complete working example, see the [Background Responses sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs).\n\n## When to Use Background Responses\n\nBackground responses are particularly useful for:\n- Complex reasoning tasks that require significant processing time\n- Operations that may be interrupted by network issues or client timeouts\n- Scenarios where you want to start a long-running task and check back later for results\n- Long-running tasks that also invoke function tools during background processing\n\n## How Background Responses Work\n\nBackground responses use a **continuation token** mechanism to handle long-running operations. When you send a request to an agent with background responses enabled, one of two things happens:\n\n1. **Immediate completion**: The agent completes the task quickly and returns the final response without a continuation token\n2. **Background processing**: The agent starts processing in the background and returns a continuation token instead of the final result\n\nThe continuation token contains all necessary information to either poll for completion using the non-streaming agent API or resume an interrupted stream with streaming agent API. When the continuation token is `null`, the operation is complete - this happens when a background response has completed, failed, or cannot proceed further (for example, when user input is required).\n\n::: zone pivot=\"programming-language-csharp\"\n\n## Enabling Background Responses\n\nTo enable background responses, set the `AllowBackgroundResponses` property to `true` in the `AgentRunOptions`:\n\n```csharp\nAgentRunOptions options = new()\n{\n AllowBackgroundResponses = true\n};\n```\n\n> [!NOTE]\n> Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).\n\nSome agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.\n\n## Non-Streaming Background Responses\n\nFor non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent();\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\n\nAgentSession session = await agent.CreateSessionAsync();\n\n// Get initial response - may return with or without a continuation token\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n\n// Continue to poll until the final response is received\nwhile (response.ContinuationToken is { } token)\n{\n // Wait before polling again.\n await Task.Delay(TimeSpan.FromSeconds(2));\n\n options.ContinuationToken = token;\n response = await agent.RunAsync(session, options);\n}\n\nConsole.WriteLine(response.Text);\n```\n\n### Key Points:\n\n- The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)\n- If no continuation token is returned, the operation is complete and the response contains the final result\n- If a continuation token is returned, the agent has started a background process that requires polling\n- Use the continuation token from the previous response in subsequent polling calls\n- When `ContinuationToken` is `null`, the operation is complete\n- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n\n## Streaming Background Responses\n\nIn streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent();\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\n\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponseUpdate? lastReceivedUpdate = null;\n\nawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n{\n Console.Write(update.Text);\n\n lastReceivedUpdate = update;\n\n // Simulate connection loss after first piece of content received\n if (update.Text.Length > 0)\n {\n break;\n }\n}\n\n// Resume from interruption point captured by the continuation token\noptions.ContinuationToken = lastReceivedUpdate?.ContinuationToken;\nawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))\n{\n Console.Write(update.Text);\n}\n```\n\n### Key Points:\n\n- Each `AgentResponseUpdate` contains a continuation token that can be used for resumption\n- Store the continuation token from the last received update before interruption\n- Use the stored continuation token to resume the stream from the interruption point\n\n## Background Responses with Tools and State Persistence\n\nBackground responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.\n\n> [!TIP]\n> For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs).\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent(\n name: \"SpaceNovelWriter\",\n instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n\nwhile (response.ContinuationToken is not null)\n{\n // Persist session and continuation token to durable storage\n await PersistAgentState(agent, session, response.ContinuationToken);\n\n await Task.Delay(TimeSpan.FromSeconds(10));\n\n // Restore state (e.g. after process restart)\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n\n options.ContinuationToken = continuationToken;\n response = await agent.RunAsync(restoredSession, options);\n}\n\nConsole.WriteLine(response.Text);\n```\n\n### Key Points for Tools and Persistence:\n\n- Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations\n- Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`\n- Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage\n- Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly\n- Persisting state enables recovery from process restarts and server-side recycling between polling cycles\n\n::: zone-end\n\n::: zone pivot=\"programming-language-python\"\n\n> [!NOTE]\n> Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.\n\n::: zone-end\n\n## Best Practices\n\nWhen working with background responses, consider the following best practices:\n\n- **Implement appropriate polling intervals** to avoid overwhelming the service\n- **Use exponential backoff** for polling intervals if the operation is taking longer than expected\n- **Always check for `null` continuation tokens** to determine when processing is complete\n- **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts\n- **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks\n\n## Limitations and Considerations\n\n- Background responses are dependent on the underlying AI service supporting long-running operations\n- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n- Network interruptions or client restarts may require special handling to persist continuation tokens\n- Function tools registered with `AIFunctionFactory` are supported during background operations\n\n## Next steps\n\n> [!div class=\"nextstepaction\"]\n> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)",{"_486":871,"_477":478,"_488":480},{"_526":872,"_528":873,"_530":874,"_532":533,"_534":640,"_536":31,"_41":868,"_537":875,"_539":540,"_483":112,"_91":541},"---\ntitle: Agent Background Responses\ndescription: Learn how to handle long-running operations with background responses in Agent Framework\nzone_pivot_groups: programming-languages\nauthor: sergeymenshykh\nms.topic: reference\nms.author: semenshi\nms.date: 03/17/2026\nms.service: agent-framework\n---\n\n# Agent Background Responses\n\nThe Microsoft Agent Framework supports background responses for handling long-running operations that may take time to complete. This feature enables agents to start processing a request and return a continuation token that can be used to poll for results or resume interrupted streams.\n\n> [!TIP]\n> For a complete working example, see the [Background Responses sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs).\n\n## When to Use Background Responses\n\nBackground responses are particularly useful for:\n- Complex reasoning tasks that require significant processing time\n- Operations that may be interrupted by network issues or client timeouts\n- Scenarios where you want to start a long-running task and check back later for results\n- Long-running tasks that also invoke function tools during background processing\n\n## How Background Responses Work\n\nBackground responses use a **continuation token** mechanism to handle long-running operations. When you send a request to an agent with background responses enabled, one of two things happens:\n\n1. **Immediate completion**: The agent completes the task quickly and returns the final response without a continuation token\n2. **Background processing**: The agent starts processing in the background and returns a continuation token instead of the final result\n\nThe continuation token contains all necessary information to either poll for completion using the non-streaming agent API or resume an interrupted stream with streaming agent API. When the continuation token is `null`, the operation is complete - this happens when a background response has completed, failed, or cannot proceed further (for example, when user input is required).\n\n::: zone pivot=\"programming-language-csharp\"\n\n## Enabling Background Responses\n\nTo enable background responses, set the `AllowBackgroundResponses` property to `true` in the `AgentRunOptions`:\n\n```csharp\nAgentRunOptions options = new()\n{\n AllowBackgroundResponses = true\n};\n```\n\n> [!NOTE]\n> Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).\n\nSome agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.\n\n## Non-Streaming Background Responses\n\nFor non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent();\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\n\nAgentSession session = await agent.CreateSessionAsync();\n\n// Get initial response - may return with or without a continuation token\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n\n// Continue to poll until the final response is received\nwhile (response.ContinuationToken is { } token)\n{\n // Wait before polling again.\n await Task.Delay(TimeSpan.FromSeconds(2));\n\n options.ContinuationToken = token;\n response = await agent.RunAsync(session, options);\n}\n\nConsole.WriteLine(response.Text);\n```\n\n### Key Points:\n\n- The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)\n- If no continuation token is returned, the operation is complete and the response contains the final result\n- If a continuation token is returned, the agent has started a background process that requires polling\n- Use the continuation token from the previous response in subsequent polling calls\n- When `ContinuationToken` is `null`, the operation is complete\n- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n\n## Streaming Background Responses\n\nIn streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent();\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\n\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponseUpdate? lastReceivedUpdate = null;\n\nawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n{\n Console.Write(update.Text);\n\n lastReceivedUpdate = update;\n\n // Simulate connection loss after first piece of content received\n if (update.Text.Length > 0)\n {\n break;\n }\n}\n\n// Resume from interruption point captured by the continuation token\noptions.ContinuationToken = lastReceivedUpdate?.ContinuationToken;\nawait foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))\n{\n Console.Write(update.Text);\n}\n```\n\n### Key Points:\n\n- Each `AgentResponseUpdate` contains a continuation token that can be used for resumption\n- Store the continuation token from the last received update before interruption\n- Use the stored continuation token to resume the stream from the interruption point\n\n## Background Responses with Tools and State Persistence\n\nBackground responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.\n\n> [!TIP]\n> For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs).\n\n```csharp\nAIAgent agent = new AzureOpenAIClient(\n new Uri(endpoint),\n new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent(\n name: \"SpaceNovelWriter\",\n instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);\n\nAgentRunOptions options = new() { AllowBackgroundResponses = true };\nAgentSession session = await agent.CreateSessionAsync();\n\nAgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n\nwhile (response.ContinuationToken is not null)\n{\n // Persist session and continuation token to durable storage\n await PersistAgentState(agent, session, response.ContinuationToken);\n\n await Task.Delay(TimeSpan.FromSeconds(10));\n\n // Restore state (e.g. after process restart)\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n\n options.ContinuationToken = continuationToken;\n response = await agent.RunAsync(restoredSession, options);\n}\n\nConsole.WriteLine(response.Text);\n```\n\n### Key Points for Tools and Persistence:\n\n- Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations\n- Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`\n- Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage\n- Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly\n- Persisting state enables recovery from process restarts and server-side recycling between polling cycles\n\n::: zone-end\n\n::: zone pivot=\"programming-language-python\"\n\n> [!NOTE]\n> Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.\n\n::: zone-end\n\n## Best Practices\n\nWhen working with background responses, consider the following best practices:\n\n- **Implement appropriate polling intervals** to avoid overwhelming the service\n- **Use exponential backoff** for polling intervals if the operation is taking longer than expected\n- **Always check for `null` continuation tokens** to determine when processing is complete\n- **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts\n- **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks\n\n## Limitations and Considerations\n\n- Background responses are dependent on the underlying AI service supporting long-running operations\n- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n- Network interruptions or client restarts may require special handling to persist continuation tokens\n- Function tools registered with `AIFunctionFactory` are supported during background operations\n\n## Next steps\n\n> [!div class=\"nextstepaction\"]\n> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)","/bin/bash -lc \"sed -n '1,260p' skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\"",[876],"56118",{"_528":877,"_241":544,"_191":545,"_91":546},"sed -n '1,260p' skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md",{"_486":879,"_477":478,"_488":480},{"_549":880,"_519":868,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"sed -n '1,260p' 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for merge conflicts**",{"_486":888,"_477":478,"_488":480},{"_489":889,"_41":890,"_506":891,"_91":508},[],"rs_0803c1816555bfbc0169b9d2f5d5f08195b838c6205ad29d3f",[886],{"_486":893,"_477":478,"_488":480},{"_519":894,"_521":895,"_91":523},"call_kaUD50Zxo9DktTwT6xtLXkyw","Chunk ID: 6549a5\nWall time: 0.0519 seconds\nProcess exited with code 0\nOriginal token count: 80\nOutput:\n/workspace/dotnet-skills\n## work\nba9cbea resolve conflict: merge AgentWorkflowBuilder additions from main, bump SKILL.md to 1.5.1\n3247cc4 update agent-background-responses reference: new API, new sample paths, tools+persistence section\n22ba1a8 Initial plan\n8d690e4 chore: refresh upstream watch state\n3919997 hg page\n",{"_486":897,"_477":478,"_488":480},{"_526":898,"_528":899,"_530":900,"_532":533,"_534":640,"_536":31,"_41":894,"_537":901,"_539":540,"_483":112,"_91":541},"/workspace/dotnet-skills\n## work\nba9cbea resolve conflict: merge AgentWorkflowBuilder additions from main, bump SKILL.md to 1.5.1\n3247cc4 update agent-background-responses reference: new API, new sample paths, tools+persistence section\n22ba1a8 Initial plan\n8d690e4 chore: refresh upstream watch state\n3919997 hg page\n","/bin/bash -lc 'pwd && git status --short --branch && git log --oneline -n 5'",[902,903,904],"44527",{"_528":907,"_91":616},{"_528":906,"_91":616},{"_528":905,"_91":616},"git log --oneline -n 5","git status --short --branch","pwd",{"_486":909,"_477":478,"_488":480},{"_549":910,"_519":894,"_41":-5,"_241":551,"_552":-5,"_91":553},"{\"cmd\":\"pwd && git status --short --branch && git log --oneline -n 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local branch for conflicts**",{"_486":918,"_477":478,"_488":480},{"_489":919,"_41":920,"_506":921,"_91":508},[],"rs_00d20b16b5b9b7eb0169b9d2f2048081959381d4a87dc85631",[916],{"_486":923,"_477":478,"_488":480},{"_489":924,"_41":925,"_91":926},[927],"50f6a06d-cc59-4f1e-8bf0-6554ebb369d9","userMessage",{"_45":928,"_929":930,"_91":45},"\nYou are Codex, assisting with follow-up actions on a GitHub pull request.\n\nInput blocks\n------------\n… # The comment or event that invoked you\n… # PR metadata (title, branches, SHAs, status, etc.)\n… # Comments / Reviews for the PR\n\nPossible triggers\n• A user mentions you (@codex)\n• A reviewer requests changes\n• An automated or internal system asks you to review / update\n\nGuidelines\n1. Read the block first and treat it as the primary intent.\n2. Always consult and to interpret and validate the trigger; use only context that materially affects your decision and ignore the rest.\n3. If the trigger comes from a comment thread, the first block will be combined earlier comments from the same thread, clearly indicated with `Comments in the same thread`.\n4. Remaining blocks are in chronological order, oldest first, one block per comment.\n5. When the trigger relates to CI/build status (e.g., “help me fix CI”), incorporate CI/status details found in as supporting context.\n6. If code change is needed, generate a **new** PR with the requested changes. The PR title and message should summarize the changes **on top** of the original pull request.\n@codex resolve conflicts {\"title\":\"Refresh agent-background-responses skill reference for current Agent Framework API\",\"body\":\"Upstream documentation for `agent-background-responses` changed (ETag mismatch detected by watch). The existing reference snapshot used stale sample paths and a renamed API surface.\\n\\n## Reference file updates (`agent-background-responses.md`)\\n\\n- **Sample links**: `GettingStarted/Agents/Agent_Step17_BackgroundResponses` → `dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses`\\n- **API renames** across all code examples:\\n - `AgentThread` / `GetNewThreadAsync()` → `AgentSession` / `CreateSessionAsync()`\\n - `GetOpenAIResponseClient()` → `GetResponsesClient()`\\n - `AzureCliCredential` → `DefaultAzureCredential` (with production caution note)\\n- **New section** — *Background Responses with Tools and State Persistence* — covering the new `Agent_Step10_BackgroundResponsesWithToolsAndPersistence` sample: function tools during background ops, `SerializeSessionAsync`/`DeserializeSessionAsync`, and `AgentAbstractionsJsonUtilities.DefaultOptions` for `ResponseContinuationToken` round-tripping\\n\\n```csharp\\n// Before\\nAIAgent agent = new AzureOpenAIClient(new Uri(\\\"https://.openai.azure.com\\\"), new AzureCliCredential())\\n .GetOpenAIResponseClient(\\\"\\\")\\n .AsAIAgent();\\nAgentThread thread = await agent.GetNewThreadAsync();\\n\\n// After\\nAIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())\\n .GetResponsesClient(deploymentName)\\n .AsAIAgent();\\nAgentSession session = await agent.CreateSessionAsync();\\n```\\n\\n- **Limitations** tightened: explicitly scopes background response support to `GetResponsesClient`-based agents only\\n\\n## SKILL.md\\n\\nIncorporated `AgentWorkflowBuilder` additions from main (`BuildConcurrent` factory method in Core Knowledge and Decision Cheatsheet). Version bumped `1.4.0` → `1.5.1` to reflect both the merged main changes and the material reference update.\\n\\n\\n\\n\\n\\n

\\n\\n

Original prompt

\\n\\n> \\n> ----\\n> \\n> *This section details on the original issue you should resolve*\\n> \\n> Upstream update: learn.microsoft.comagent-framework/user-guide/agents/agent-background-responses documentation documentation changed\\n> Automation detected an upstream change for **learn.microsoft.comagent-framework/user-guide/agents/agent-background-responses documentation**.\\n> \\n> - Watch id: `agent-framework-docs-user-guide-agents-agent-background-responses`\\n> - Kind: `http_document`\\n> - Source: https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses\\n> - Current value: `\\\"Z5AWyJ81Ik5+oZHwI22rDjf9qJ0=\\\"`\\n> - Previous value: `\\\"RsIvhLf8ga85s381RiihB3Ji/vU=\\\"`\\n> \\n> Observed detail:\\n> - Agent Background Responses | Microsoft Learn | ETag \\\"Z5AWyJ81Ik5+oZHwI22rDjf9qJ0=\\\"\\n> \\n> Why this matters:\\n> - Review the linked skills when https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses changes.\\n> \\n> Likely skills to review:\\n> - `dotnet-microsoft-agent-framework`\\n> \\n> Suggested follow-up:\\n> - [ ] Review the upstream release notes or documentation diff\\n> - [ ] Update the affected files under `skills/`\\n> - [ ] Update `README.md` if framework coverage or guidance changed\\n> - [ ] Close this issue after the catalog has been refreshed\\n> \\n> \\n> \\n> \\n> Review all tasks and if needed make jsut one pr an done branch with all updates for skills and docs \\n> \\n> ## Comments on the Issue (you are @copilot in this section)\\n> \\n> \\n> \\n> \\n\\n\\n

\\n\\n\\n\\n\\n\\n- Fixes managedcode/dotnet-skills#6\\n\\n\\n---\\n\\n📍 Connect Copilot coding agent with [Jira](https://gh.io/cca-jira-docs), [Azure Boards](https://gh.io/cca-azure-boards-docs) or [Linear](https://gh.io/cca-linear-docs) to delegate work to Copilot in one click without leaving your project management tool.\",\"base_ref\":\"8d690e4672243cd79dc4548b7c29ec29e267cbaa\",\"head_ref\":\"ba9cbeae0cdf26722d0706b3f915f6a9d6effef5\",\"merge_commit_sha\":null,\"type\":\"pull_request_info\"}{\"type\":\"pull_request_comment\",\"body\":\"@copilot resolve conflict \",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Guard stream update text before checking length**\\n\\nThis new interruption condition dereferences `update.Text` directly, but streaming updates are not guaranteed to carry text content (for example, tool-call or metadata updates), so `update.Text` can be `null`. In that case this sample throws `NullReferenceException` before storing a continuation token, which breaks the resume flow it is trying to demonstrate.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":118}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Persist the restored session state inside polling loop**\\n\\nInside the new tools/persistence example, each iteration persists `session` even after the run is resumed with `restoredSession`. On the second and later iterations this can save an outdated session snapshot paired with a newer continuation token, causing state drift when restoring after interruptions. The persisted session should be the same session instance used for the latest `RunAsync` call.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":163}{\"type\":\"pull_request_comment\",\"body\":\"\\n### 💡 Codex Review\\n\\nHere are some automated review suggestions for this pull request.\\n\\n**Reviewed commit:** `3247cc44fa`\\n \\n\\n

ℹ️ About Codex in GitHub

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\\n\\n[Your team has set up Codex to review pull requests in this repo](http://chatgpt.com/codex/settings/general). Reviews are triggered when you\\n- Open a pull request for review\\n- Mark a draft as ready\\n- Comment \\\"@codex review\\\".\\n\\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\\n\\n\\n\\n\\nCodex can also answer questions or update the PR. Try commenting \\\"@codex address that feedback\\\".\\n \\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"The C# samples now reference `endpoint` and `deploymentName` variables, but they aren’t defined anywhere in this doc. This makes the snippet non-copy/pasteable; consider switching back to inline placeholders (e.g., `\\\"https://.openai.azure.com\\\"`, `\\\"\\\"`) or add a short pre-snippet definition showing how to set these values.\\n\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":62}{\"type\":\"pull_request_comment\",\"body\":\"This doc switches from `AgentThread`/`GetNewThreadAsync()` to `AgentSession`/`CreateSessionAsync()`, but `AgentSession` isn’t referenced anywhere else in the repo docs and the rest of the guidance (including this skill’s SKILL.md) consistently describes conversation state living in `AgentThread`. Please verify these types/methods are actually part of the public API you’re documenting; if they’re specific to background responses, add a brief explanation of when/why `AgentSession` is required, otherwise align the samples and text back to `AgentThread`.\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":73}{\"type\":\"pull_request_comment\",\"body\":\"In the tools/persistence example, the loop persists `session` each iteration, but the polling call uses `restoredSession`. After a restore (or after the first polling call), persisting the original `session` risks saving stale state; persist the same session instance you’re actually continuing with (e.g., update `session = restoredSession` before persisting, or persist `restoredSession`).\\n\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":171}{\"type\":\"pull_request_comment\",\"body\":\"The limitations bullet calls out `GetResponsesClient`, but other docs in this snapshot use `GetOpenAIResponseClient(...)` for Responses and the NOTE earlier in this file lists supported agent types rather than a factory method. To avoid drifting API names (and confusing readers), consider removing the method name here or making it consistent with the rest of the docs/API surface you’re documenting.\\n\",\"path\":\"skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\",\"side\":\"RIGHT\",\"line\":207}{\"type\":\"pull_request_comment\",\"body\":\"## Pull request overview\\n\\nUpdates the `.NET Microsoft Agent Framework` skill package metadata and refreshes the “Agent Background Responses” reference doc to reflect newer samples and guidance around continuation tokens, streaming resumption, and tool/state persistence.\\n\\n**Changes:**\\n- Bump skill version from `1.4.0` to `1.4.1`.\\n- Update background responses doc metadata date and sample link, and revise C# examples (client setup, polling, streaming resumption).\\n- Add a new section describing background responses with function tools and session/state persistence, plus updated best practices/limitations notes.\\n\\n### Reviewed changes\\n\\nCopilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.\\n\\n| File | Description |\\n| ---- | ----------- |\\n| skills/dotnet-microsoft-agent-framework/SKILL.md | Version bump for the skill package. |\\n| skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | Refreshes background responses documentation, examples, and adds tools/persistence guidance. |\\n\\n\\n\\n\\n\\n---\\n\\nYou can also share your feedback on Copilot code review. [Take the survey](https://www.surveymonkey.com/r/XP6L3XJ).\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"\\n> @copilot resolve conflict \\n\\nResolved in ba9cbea. `SKILL.md` now incorporates the `AgentWorkflowBuilder` additions merged from main, with version bumped to `1.5.1`.\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"@copilot resolve conflicts \",\"path\":null,\"side\":null,\"line\":null}","text_elements",[],{"_486":932,"_477":478,"_488":480},{"_489":933,"_491":-5,"_41":-5,"_492":-5,"_95":381,"_91":493},[934],{"_45":928,"_91":733},"turn/started",{"_477":478,"_86":937},{"_102":-5,"_41":480,"_481":938,"_483":939},[],"inProgress","thread/started",{"_942":943},"thread",{"_944":-5,"_945":-5,"_946":947,"_948":949,"_532":533,"_950":15,"_951":-5,"_952":953,"_41":478,"_954":955,"_241":-5,"_191":956,"_957":259,"_539":958,"_483":-5,"_76":959,"_960":949},"agentNickname","agentRole","cliVersion","0.88.0","createdAt",1773785839,"ephemeral","forkedFromId","gitInfo",{"_125":961,"_962":-5,"_963":128},"modelProvider","openai","/opt/codex/sessions/2026/03/17/rollout-2026-03-17T22-17-19-019cfddf-f829-72f0-9736-a55e6f8e074a.jsonl","preview","vscode",[],"updatedAt","work","originUrl","sha",{"_486":965,"_477":478,"_488":966},{"_489":967,"_491":-5,"_41":-5,"_492":-5,"_95":381,"_91":493},"auto-compact-0",[968],{"_45":969,"_91":733},"\n /workspace/dotnet-skills\n bash\n",{"_486":971,"_477":478,"_488":966},{"_489":972,"_491":-5,"_41":-5,"_492":-5,"_95":381,"_91":493},[973],{"_45":974,"_91":733},"# AGENTS.md instructions for /workspace/dotnet-skills\n\n\n# AGENTS.md\n\nProject: dotnet-skills\nStack: .NET 10, GitHub Actions, Python automation, NuGet, GitHub Releases\n\nFollows [MCAF](https://mcaf.managed-code.com/)\n\n---\n\n## Purpose\n\nThis file defines how AI agents work in this repository.\n\n- Root `AGENTS.md` holds the global workflow, repository structure, release and automation policy, and skill-catalog maintenance rules.\n- This repository currently uses only the root `AGENTS.md`; add a nearer local `AGENTS.md` only when a subtree needs stricter or more specialized rules.\n- The repository has three equally important responsibilities:\n 1. Maintain a high-quality `skills/` catalog for modern and legacy `.NET`.\n 2. Maintain repo-owned orchestration `agents/` that route broader tasks into the right skills or narrower agents.\n 3. Maintain automation that watches official upstream releases and documentation so the catalog can be refreshed when the ecosystem changes.\n\nIf this repository contains executable code, it must exist only to distribute or install the skill catalog itself, for example as a publishable `dotnet tool`.\nDo not turn this repository into a general application or unrelated tooling codebase.\n\nAll repository-facing documentation and skill content should be written in English.\nFollow official or documented agent standards where they exist; do not present a repo-local adapter as if it were a universal standard.\n\n## Solution Topology\n\n- Solution root: `.`\n- Areas with specialized responsibilities:\n - `agents/`: top-level orchestration agents that sit above the skill catalog, one folder per agent\n - `skills/`: canonical skill catalog\n - `tools/ManagedCode.DotnetSkills/`: publishable `dotnet-skills` installer tool\n - `scripts/`: catalog generation and upstream-watch automation\n - `.github/workflows/`: CI, release, and scheduled automation\n- Local `AGENTS.md` files currently present: none\n\n## Rule Precedence\n\n1. Read the root `AGENTS.md` first.\n2. If a local `AGENTS.md` is later added for a subtree, read the nearest one before editing that area.\n3. Apply the stricter rule when both files speak to the same topic.\n4. Local `AGENTS.md` files may refine or tighten root rules, but they must not silently weaken them.\n5. If a subtree needs a durable exception, document it explicitly in the nearest local `AGENTS.md` or another canonical repo document.\n\n## Path And Linking Rules\n\n- Never commit personal or machine-specific absolute filesystem paths such as `/Users/...`, `/home/...`, or `C:\\Users\\...` in repository docs, generated site files, manifests, examples, or contributor guidance.\n- In repository-facing Markdown, prefer repo-relative links such as `README.md`, `skills/`, or `.github/workflows/publish-tool.yml` instead of workstation-local absolute paths.\n- For path examples, use portable placeholders such as `~/...`, `/path/to/...`, `/...`, or product-native paths that are not tied to one contributor machine.\n- Before committing docs or generated artifacts, scan the diff for leaked local paths and remove them.\n\n## Conversations (Self-Learning)\n\nLearn the user's stable habits, preferences, and corrections. Record durable rules here instead of relying on chat history.\n\nBefore doing non-trivial work, evaluate the latest user message.\nIf it contains a durable rule, correction, preference, or workflow change, update `AGENTS.md` first.\nIf it is only task-local scope, do not turn it into a lasting rule.\n\nUpdate this file when the user gives:\n\n- a repeated correction\n- a permanent requirement\n- a lasting preference\n- a workflow change\n- a high-signal frustration that indicates a rule was missed\n\nTreat explicit frustration, swearing, sarcasm, repeated rejection, or \"don't do this again\" as strong signals that a durable rule should likely be captured here.\n\nDo not record:\n\n- one-off instructions for the current task\n- temporary exceptions\n- requirements that are already captured elsewhere without change\n\n### Provided Source Links\n\n- When a user provides one or more source URLs for a skill, agent, or durable documentation task, inspect those URLs directly before editing the repository.\n- Prefer Playwright for user-provided website and documentation links so the page structure, navigation, and primary content are reviewed from the live source.\n- For GitHub repository links, inspect the repository page and the relevant primary materials such as `README`, docs, samples, releases, or package references before turning the source into a skill.\n- For Microsoft Learn or other official documentation sites, review the relevant navigation and primary guidance pages from the provided documentation set before writing or materially revising a skill.\n- Do not rely on memory or third-party summaries when the user has already provided authoritative source links.\n- When a skill is built from a large official documentation set, include a references file that maps the documentation tree with direct links to the relevant pages, including quickstarts, samples, and example-oriented pages instead of only a small curated subset.\n\n## Global Skills\n\nList only the skills this repository actually uses for its own maintenance workflows.\n\n- `skill-creator` - when creating or restructuring skills in `skills/`\n- `mcaf-solution-governance` - when changing `AGENTS.md`, repository governance, or maintenance policy\n- `mcaf-documentation` - when changing durable repo docs such as `README.md`, `CONTRIBUTING.md`, or policy docs\n- `mcaf-ci-cd` - when changing GitHub Actions, release flow, or automation policy\n- `mcaf-dotnet` - when changing the publishable `.NET` tool\n- `mcaf-testing` - when adding or updating automated verification for the tool or automation\n\nIf work touches `.NET` code in this repository:\n\n- `mcaf-dotnet` is the entry skill and routes to more specialized `.NET` guidance.\n- Keep the executable surface limited to the catalog installer tool; repo automation does not need to be moved into `.NET`.\n- Recheck `build`, `pack`, smoke-test, and publish workflows when tool behavior changes.\n- Do not rely on smoke tests alone for tool changes; keep a real automated `.NET` test project with focused unit or integration coverage for installer behavior, path resolution, command semantics, and recommendation logic when those areas change.\n\n## Canonical Layout\n\nThe canonical skill tree is [`skills/`](skills).\nThe canonical top-level agent tree is [`agents/`](agents).\n\nExpected layout:\n\n```text\nagents/\n├── README.md\n└── /\n ├── AGENT.md\n ├── scripts/ # optional\n ├── references/ # optional\n └── assets/ # optional\n\nskills//\n├── SKILL.md\n├── scripts/ # optional\n├── agents/ # optional skill-scoped agents\n│ └── /\n│ ├── AGENT.md\n│ ├── scripts/ # optional\n│ ├── references/ # optional\n│ └── assets/ # optional\n├── references/ # optional\n└── assets/ # optional\n```\n\nOther important repository files:\n\n- [`CLAUDE.md`](CLAUDE.md): Claude adapter that points Claude to the root repository instructions.\n- [`GEMINI.md`](GEMINI.md): Gemini adapter that imports the root repository instructions.\n- [`.github/copilot-instructions.md`](.github/copilot-instructions.md): Copilot adapter that points GitHub Copilot to the repository-wide rules.\n- [`README.md`](README.md): public catalog and repository overview.\n- [`CONTRIBUTING.md`](CONTRIBUTING.md): contributor workflow for skills, versions, descriptions, and watch entries.\n- [`agents/README.md`](agents/README.md): index of repo-owned orchestration agents and layout conventions.\n- [`catalog/skills.json`](catalog/skills.json): machine-readable generated skill manifest used for release packaging and tool fallback content.\n- [`.github/workflows/catalog-check.yml`](.github/workflows/catalog-check.yml): CI validation for generated catalog outputs.\n- [`.github/workflows/publish-catalog.yml`](.github/workflows/publish-catalog.yml): release workflow for remote `catalog-v*` assets consumed by the tool.\n- [`.github/workflows/publish-tool.yml`](.github/workflows/publish-tool.yml): release workflow for the installable `dotnet-skills` package.\n- [`.github/upstream-watch.json`](.github/upstream-watch.json): base upstream watch metadata file for labels and shared defaults.\n- [`.github/upstream-watch*.json`](.github/): optional upstream watch config shards that hold the human-maintained `github_releases` and `documentation` lists.\n- [`.github/upstream-watch-state.json`](.github/upstream-watch-state.json): machine-maintained baseline state.\n- [`.github/workflows/upstream-watch.yml`](.github/workflows/upstream-watch.yml): scheduled workflow.\n- [`tools/ManagedCode.DotnetSkills/ManagedCode.DotnetSkills.csproj`](tools/ManagedCode.DotnetSkills/ManagedCode.DotnetSkills.csproj): publishable `.NET` tool that installs the catalog through `dotnet skills ...`.\n- [`dotnet-skills.slnx`](dotnet-skills.slnx): canonical solution entry point for repository-level `dotnet build` and `dotnet pack` commands.\n- [`scripts/generate_catalog.py`](scripts/generate_catalog.py): catalog generator and checker.\n- [`scripts/generate_agent_catalog.py`](scripts/generate_agent_catalog.py): agent catalog generator for the public site and installer metadata.\n- [`scripts/smoke_test_tool.sh`](scripts/smoke_test_tool.sh): CI smoke test for the installable tool package.\n- [`scripts/upstream_watch.py`](scripts/upstream_watch.py): watch runner.\n- [`github-pages/index.html`](github-pages/index.html): template for the public skills directory website.\n- [`scripts/generate_pages.py`](scripts/generate_pages.py): generates the GitHub Pages site with embedded skills and agents data.\n- [`.github/workflows/publish-pages.yml`](.github/workflows/publish-pages.yml): deploys the skills directory website to GitHub Pages.\n\n## Skill Naming Rules\n\nUse clean `.NET` skill names:\n\n- Good: `dotnet-aspnet-core`\n- Good: `dotnet-aspire`\n- Good: `dotnet-entity-framework-core`\n- Good: `dotnet-microsoft-agent-framework`\n\nRules:\n\n- Use the `dotnet-*` prefix for all catalog skills in this repository.\n- Keep one clear responsibility per skill.\n- Prefer framework or capability names that match official Microsoft naming.\n- Do not invent vanity prefixes.\n- Do not create duplicate skills that differ only by wording.\n\n## When Adding or Updating a Skill\n\nBefore adding a new skill:\n\n1. Check whether the capability already exists in [`skills/`](skills).\n2. Confirm the framework or feature is important enough to justify a dedicated skill.\n3. Prefer official Microsoft or first-party documentation to shape the content.\n4. Check whether the capability is already covered indirectly by a broader skill such as `dotnet`, `dotnet-architecture`, or `dotnet-aspire`.\n5. For `.NET`-scoped skills, prefer `.NET` and C# API references, samples, and watch coverage. Do not add Python-only API references or Python-only upstream watches unless the user explicitly asks for cross-language coverage.\n\nWhen creating a new skill:\n\n1. Create `skills//`.\n2. Add `SKILL.md`.\n3. Add `agents/` only when the skill needs one or more tightly coupled specialist agents that should live next to that skill.\n4. Add `references/` for the heavy material: official docs snapshots, API maps, long examples, migration notes, provider matrices, and other supporting documentation that would bloat `SKILL.md`.\n5. Update any related [`README.md`](README.md) notes and regenerate the catalog outputs.\n6. If the skill tracks a major framework or Microsoft surface, update the relevant upstream watch shard under [`.github/upstream-watch*.json`](.github/).\n\n## When Adding or Updating an Agent\n\nAgents are a parallel orchestration layer above the skill catalog.\n\nUse these placement rules:\n\n1. Put broad, reusable routing agents in [`agents/`](agents).\n2. Put tightly coupled specialist agents in `skills//agents//AGENT.md` when they only make sense next to one skill or one framework surface.\n3. Use top-level agents when they orchestrate a group of related skills; use skill-scoped agents when they should travel with one specific skill and rely on that skill for detailed implementation guidance.\n4. Keep agents focused on triage, routing, orchestration, and bounded role behavior; keep detailed implementation guidance in `SKILL.md`.\n5. Make the linked skill set explicit, so reviewers can see what the agent is expected to orchestrate.\n6. Update [`README.md`](README.md) and [`CONTRIBUTING.md`](CONTRIBUTING.md) when the public agent catalog shape changes.\n\nWhen creating a new agent:\n\n1. Choose whether it belongs in `agents//AGENT.md` or `skills//agents//AGENT.md`.\n2. Keep each agent in its own folder; flat loose agent files in the repo are not the canonical source layout.\n3. Add `AGENT.md` with a clear role and routing scope.\n4. Prefer concise, role-based agent slugs. Avoid awkward names that simply repeat the full parent skill slug with a generic suffix like `-specialist` when a shorter slug such as `agent-framework-router` or `aspire-orchestrator` would be clearer.\n5. Reference the relevant `dotnet-*` skills it is expected to orchestrate.\n6. Keep validation explicit: what a good completion looks like, what the agent should hand off, and what it should refuse.\n7. Keep `AGENT.md` short and routing-focused. Put bulk framework notes, decision tables, protocol details, and other deep material in sibling `references/` files or in the paired skill instead of turning `AGENT.md` into a second skill-sized document.\n\n## `SKILL.md` Requirements\n\nEvery skill must include YAML frontmatter:\n\n- `name`\n- `version`\n- `category`\n- `description`\n- `compatibility`\n\nRecommended structure:\n\n1. Title\n2. `Trigger On`\n3. `Workflow`\n4. `Deliver`\n5. `Validate`\n\nContent rules:\n\n- Keep it practical and agent-oriented.\n- Prefer concrete decision logic over generic prose.\n- Keep the skill narrow enough that routing decisions stay clear.\n- Avoid bloated theory sections.\n- Avoid user-facing marketing language.\n- Avoid obsolete guidance copied from old blog posts or samples.\n- `description` must be an exact, reusable one-line description of what the skill is for, because the README catalog copies it directly.\n- `version` must use semantic versioning and must be bumped when the skill guidance materially changes.\n- `category` must match the supported README catalog categories.\n- Treat `SKILL.md` as the control plane for the skill: trigger conditions, selection logic, workflow, deliverables, and validation. Move large documentation bodies, reference tables, long examples, and mirrored upstream material into `references/`.\n- Optimize for token economy. Prefer a short `Load References` section with topic-focused files over one large `SKILL.md` or one giant omnibus reference file.\n- When a skill explains non-trivial implementation details, integration flow, component boundaries, or decision logic, add at least one Mermaid diagram instead of leaving the explanation text-only.\n- When mirroring or bundling official documentation into a skill's `references/`, also extract the main operational guidance into `SKILL.md` or curated reference summaries. Do not leave the skill usable only as a raw documentation dump.\n- When mirroring official docs into a skill snapshot, keep only high-signal, skill-useful markdown. Do not vendor project files, snippets trees, media folders, images, TOC scaffolding, DocFX support files, or Python-only pages unless they are directly necessary for the skill.\n- If a mirrored Learn page still contains raw `:::code`, `:::image`, or similar source-asset directives after those assets were excluded, strip those directives from the local snapshot instead of keeping broken references.\n- Do not leave orphaned reference files in a skill. Every meaningful file under `references/` must be reachable through an explicit reference path from `SKILL.md` or from an index file that `SKILL.md` points to directly.\n- When `SKILL.md` points to files under `references/`, use concise explicit path mentions such as `references/patterns.md` or a Markdown link when human clickability materially helps. Do not rewrite internal references into verbose link syntax just for style.\n- Split `references/` by topic, workflow branch, provider, or subsystem so agents can load only the relevant slice. Avoid dumping a whole framework into one mega-file when smaller references would keep context usage lower.\n- Curated `references/*.md` files must carry real extracted knowledge. Do not create shallow placeholder references that only restate topic names, point back to the docs mirror, or summarize a whole framework in a few thin bullets. If a reference file exists, it should materially help solve the task without forcing the reader back into the raw docs immediately.\n- The top-level `dotnet-ai` orchestration agent should treat Microsoft Agent Framework and Microsoft.Extensions.AI as a combined primary surface when tasks span agent orchestration and `IChatClient`-based provider composition.\n\n## Diagramming Rules\n\nUse Mermaid diagrams to explain non-trivial implementation details across repository-facing content.\n\nRules:\n\n- Add Mermaid diagrams to skills, contributor docs, plans, and other durable technical notes when they describe workflows, architecture, integration steps, installer behavior, release flow, or branching decision logic.\n- Do not rely on text-only explanations when a Mermaid diagram would make the implementation or flow materially clearer.\n- Keep diagrams concrete and implementation-oriented; prefer real repo terms, commands, artifacts, and paths over generic boxes.\n- Update the Mermaid diagram when the surrounding implementation guidance changes, so the diagram and prose stay in sync.\n\n## README Maintenance Rules\n\n[`README.md`](README.md) is the public index for the catalog.\n\nWhenever you add, rename, split, merge, or remove a skill:\n\n1. Update the skill frontmatter first.\n2. Update the skill count if it is listed.\n3. Update automation notes if watch coverage changes.\n4. Let the release workflows generate fresh catalog outputs in CI; run `python3 scripts/generate_catalog.py` locally only when you need a preview.\n\nThe source of truth is `skills/*/SKILL.md`, not checked-in generated artifacts.\nDo not hand-edit the generated catalog section between `` and ``.\n\nGenerated catalog outputs:\n\n- [`README.md`](README.md) catalog section\n- [`catalog/skills.json`](catalog/skills.json) machine-readable manifest\n\nCanonical generation point:\n\n- [`.github/workflows/publish-catalog.yml`](.github/workflows/publish-catalog.yml) for remote catalog releases\n- [`.github/workflows/publish-tool.yml`](.github/workflows/publish-tool.yml) for the bundled fallback catalog inside the published `.nupkg`\n\n## Dotnet Tool Rules\n\nThe only allowed repository-owned executable project is the publishable catalog installer tool:\n\n- package id: `dotnet-skills`\n- command name: `dotnet-skills`\n- usage shape: `dotnet skills ...`\n\nRules:\n\n- Keep the tool focused on listing, syncing, and installing the skill catalog.\n- Do not expand it into a general repo-maintenance application.\n- Repo maintenance automation may stay in GitHub Actions scripts and does not need to be moved into the tool.\n- Use a clean canonical tool name; avoid redundant public package names with a trailing `.Tool` when the command shape already makes the tool purpose obvious.\n- Prefer the public NuGet package ID `dotnet-skills` so installation stays `dotnet tool install --global dotnet-skills`.\n- Keep only the manual base version in the project file; CI must derive the publish version automatically by appending the GitHub run number as the numeric patch segment.\n- Do not require or document local `dotnet tool install --add-source ...` smoke tests for contributors; validate installability in CI instead and keep user-facing docs focused on the public NuGet install flow.\n- Keep canonical skill IDs namespaced as `dotnet-*` in the repository, but let the CLI accept short aliases such as `aspire` or `orleans` in commands.\n- Treat repo-owned orchestration agents as a parallel catalog layer; do not force the first rollout of agents into the current `dotnet-skills` CLI lifecycle before the repo structure and docs are stable.\n- Canonical repo-owned agents live in folder-per-agent layouts with `AGENT.md`; runtime-specific `.agent.md` or native Claude files are adapters, not the source of truth.\n- The installer must account for Codex, Claude, Copilot, and Gemini target layouts instead of assuming only one global skills directory.\n- `SKILL.md` is the canonical skill contract; vendor-specific files are adapters.\n- For Copilot, use the native `SKILL.md` layout in `.github/skills` or `~/.copilot/skills`.\n- For Gemini, use `.gemini/skills` for explicit Gemini installs, but keep compatibility with shared `.agents/skills` layouts when auto-detect finds them.\n- For Claude, generate native `.claude/agents` subagent files instead of pretending Claude consumes raw `SKILL.md` skill folders directly.\n- For Codex, use the native `.codex/skills` layout for explicit Codex installs, and keep `.agents/skills` only as a legacy shared fallback when no platform-specific folder exists.\n- When `--agent` is omitted for skill installation, the tool must install into every already existing platform folder it detects in this order: `.codex`, `.claude`, `.github`, `.gemini`, `.agents`. Only when none of those folders exist may it fall back to creating `.agents/skills` in the current project.\n- Auto-install must not create an extra `.agents/skills` fallback when one or more platform-specific folders such as `.codex`, `.claude`, `.github`, or `.gemini` already exist. In that case it writes only to the folders that are already present.\n- Use the same NuGet publish pattern as other ManagedCode repositories: publish from `publish-tool.yml` with `dotnet nuget push` and the `NUGET_API_KEY` secret inside the shell step.\n- Do not reference `secrets.*` in GitHub Actions `if:` expressions for NuGet publish branching; keep secret-dependent logic inside the shell step instead.\n- Publish workflows should derive the package version from the checked-in base version plus the CI run number instead of relying on a manually typed patch version.\n- The tool publish workflow should run automatically on `main` for tool-source changes; keep `workflow_dispatch` only as a fallback rerun path, not the primary publish path.\n- Remote skill content should be published separately from the tool through `publish-catalog.yml` as `catalog-v*` GitHub releases with `dotnet-skills-manifest.json` and `dotnet-skills-catalog.zip` assets.\n- Catalog releases must be published automatically from `main` when `skills/*/SKILL.md` or other catalog-source inputs change; manual dispatch may exist only as a fallback or backfill path, not as the primary workflow.\n- Automatic catalog versions should use the numeric calendar-plus-run format `...`; do not add letter prefixes such as `r` or `ci` in release tags or titles.\n- The NuGet tool publish workflow must ignore `catalog-v*` releases so catalog content publishes never trigger package pushes by accident.\n- The tool should use the newest non-draft `catalog-v*` GitHub release by default and fall back to bundled content only when the remote catalog is unavailable.\n- The bare `dotnet skills` usage view is still a normal startup path and must surface the same automatic self-update notice as other startup commands, unless update checks are explicitly suppressed.\n- Local `dotnet build` and `dotnet pack` for the tool may generate a temporary manifest in `obj/` from `skills/*/SKILL.md`; release CI remains the canonical place that generates checked catalog outputs and release assets.\n\n## GitHub Pages Rules\n\nThe repository publishes a public skills directory website to GitHub Pages.\n\nRules:\n\n- The website source lives in `github-pages/index.html` as a template with a `SKILLS_DATA_PLACEHOLDER` marker.\n- `scripts/generate_pages.py` reads `catalog/skills.json` and `catalog/agents.json` and injects the public catalog data into the template.\n- The generated site is output to `artifacts/github-pages/` which is gitignored.\n- `publish-pages.yml` runs on `main` when `skills/`, `agents/`, `github-pages/`, or page-generation scripts change.\n- The website displays the full skill catalog with search, category filters, installation commands, and a visible orchestration-agents section sourced from the repo catalog.\n- Keep the website focused on skill discovery and installation; do not expand it into unrelated documentation.\n- The website must show the `dotnet skills install ` command pattern for each skill.\n- The website must also show the `dotnet skills agent install ` command pattern for repo-owned orchestration agents.\n- Dark terminal-like aesthetic with monospace fonts is the intended design language.\n- When the site refers to Claude Code, GitHub Copilot, Gemini, and Codex, present them as supported platforms or assistants that consume the catalog, not as repository-owned \"AI agents\".\n- Supported-platform sections on the site should use clearly differentiated brand-like tiles or logos instead of generic repeated cards.\n- Supported-platform path examples must stay readable at a glance: avoid aggressive word-breaking, tiny dual-column chips, or layouts that split short filesystem paths into visual fragments.\n- The public supported-platforms section should prefer a compact comparison matrix plus lightweight platform identity tiles over tall repeated marketing cards with duplicated copy.\n- Footer copyright years on the public site must be generated from the build year during page generation; do not hardcode stale years in the HTML template.\n- The public landing page should use tighter spacing rhythm than the current default: avoid oversized shell padding, overly tall card interiors, or loose gaps between onboarding steps and sidebar blocks.\n\n## Source-of-Truth Policy\n\nFor .NET framework and platform guidance:\n\n- Prefer official Microsoft Learn documentation.\n- Prefer official GitHub repositories and release pages for release monitoring.\n- Prefer first-party Microsoft product docs over third-party summaries.\n\nFor GitHub automation:\n\n- Prefer `gh` CLI for GitHub API work.\n- Do not replace `gh api` with raw direct GitHub HTTP calls unless there is a concrete reason.\n- It is acceptable to use `curl` for non-GitHub documentation endpoints.\n\n## Upstream Watch Automation\n\nThe upstream automation exists so the skill catalog stays current without requiring manual ecosystem monitoring.\n\nHuman-maintained upstream watch configuration lives in a small base file plus optional shard files in the same `.github/` folder:\n\n- [`.github/upstream-watch.json`](.github/upstream-watch.json) for shared metadata such as `watch_issue_label` and `labels`\n- [`.github/upstream-watch*.json`](.github/) for shard files such as `upstream-watch.ai.json`, `upstream-watch.data.json`, or `upstream-watch-agent-framework.json`\n\nKeep the layout obvious.\n\nEvery shard may contain the same two human-maintained lists:\n\n- `github_releases`\n- `documentation`\n\nEach entry should stay minimal:\n\n- `source`\n- `skills`: affected `dotnet-*` skills\n\nUse `source` for both:\n\n- a GitHub repository URL or `owner/repo` when you want a `github_release` watch\n- a documentation URL when you want an `http_document` watch\n\nOptional fields are allowed only when needed:\n\n- `id`\n- `name`\n- `notes`\n- `match_tag_regex`\n- `exclude_tag_regex`\n- `include_prereleases`\n\n`scripts/upstream_watch.py` loads the base file plus every matching `upstream-watch*.json` shard except `upstream-watch-state.json`, then derives `kind`, source coordinates, and default metadata at runtime.\n\nSharding rules:\n\n- Prefer a small number of semantic shards such as `ai`, `data`, `platform`, `managedcode`, or `agent-framework`\n- Keep shard names semantic and review-friendly\n- Do not create numbered fragments such as `10/20/30`\n- Do not introduce `.d` directory indirection for this config\n- Keep `watch_issue_label` and `labels` in the base `upstream-watch.json` file unless there is a strong reason not to\n\nSupported kinds:\n\n- `github_release`\n- `http_document`\n\nWhen adding a GitHub release watch:\n\n- Prefer the repository that actually signals the .NET-facing release stream.\n- If the repository publishes multiple language or package streams, add `match_tag_regex`.\n- Use `match_tag_regex` for mixed repos such as Semantic Kernel or Agent Framework, where the latest release may otherwise point to Python or another stream.\n- Project-specific watches must point to project-specific skills. Do not map a library watch for a concrete repository to generic umbrella skills such as `dotnet`, `dotnet-architecture`, or `dotnet-orleans` as a substitute for a missing dedicated skill.\n\nWhen adding a documentation watch:\n\n- Watch stable, meaningful overview pages, not random transient pages.\n- Prefer official Microsoft Learn URLs that define platform or framework guidance.\n\n## State File Rules\n\n[`.github/upstream-watch-state.json`](.github/upstream-watch-state.json) is machine-maintained state.\n\nRules:\n\n- Do not hand-edit it unless there is a repository emergency.\n- To validate watch config structure without contacting upstream sources, run:\n\n```bash\npython3 scripts/upstream_watch.py --validate-config\n```\n\n- After changing watch definitions, refresh baseline with:\n\n```bash\npython3 scripts/upstream_watch.py --sync-state-only\n```\n\n- For a non-mutating check, use:\n\n```bash\npython3 scripts/upstream_watch.py --dry-run\n```\n\n## Validation Checklist\n\nAfter changing this repository, run the checks that match the work:\n\nFor skill and docs changes:\n\n- Verify the new skill folder exists under `skills/`.\n- Verify `SKILL.md` exists.\n- Verify README links and catalog entries are correct.\n- `python3 -m py_compile scripts/generate_catalog.py`\n- `python3 scripts/generate_catalog.py --validate-only`\n- run `python3 scripts/generate_catalog.py` locally only when you explicitly need a preview of the generated README and manifest\n\nFor agent and docs changes:\n\n- Verify the new agent folder exists in `agents//` or `skills//agents//`.\n- Verify `AGENT.md` exists inside that folder.\n- Verify the placement matches the intended scope: broad agents top-level, tightly coupled agents under a skill.\n- Verify README and contributing docs explain the new agent surface accurately.\n\nFor dotnet tool changes:\n\n- `dotnet build dotnet-skills.slnx`\n- `dotnet test dotnet-skills.slnx`\n- `dotnet pack dotnet-skills.slnx -c Release`\n- validate installability through CI workflow smoke tests, not a documented local `dotnet tool install --add-source ...` loop\n\nFor catalog release changes:\n\n- Verify [`.github/workflows/publish-catalog.yml`](.github/workflows/publish-catalog.yml) still publishes `catalog-v*` releases.\n- Verify the release assets remain `dotnet-skills-manifest.json` and `dotnet-skills-catalog.zip`.\n\nFor GitHub Pages changes:\n\n- `python3 scripts/generate_agent_catalog.py`\n- `python3 -m py_compile scripts/generate_pages.py`\n- `python3 scripts/generate_pages.py`\n- Verify `artifacts/github-pages/index.html` was generated with embedded skills data\n- Verify [`.github/workflows/publish-pages.yml`](.github/workflows/publish-pages.yml) still deploys to GitHub Pages\n\nFor automation changes:\n\n- `python3 -m py_compile scripts/upstream_watch.py`\n- `python3 scripts/upstream_watch.py --validate-config`\n- `python3 scripts/upstream_watch.py --dry-run`\n- `python3 scripts/upstream_watch.py --sync-state-only` when the watch config changes\n- Verify [`.github/workflows/upstream-watch.yml`](.github/workflows/upstream-watch.yml) still points to the right script and token env\n\nFor JSON changes:\n\n- Load the file with Python `json.loads` or equivalent\n\n## Repository Logic\n\nThe intended maintenance logic is:\n\n1. Keep the catalog broad enough to cover the real .NET ecosystem.\n2. Keep each skill narrow enough that routing is still obvious.\n3. Keep content tied to official sources.\n4. Use upstream automation to surface change, not to auto-rewrite skills.\n5. Open issues when upstream changes happen, then update the affected skills deliberately.\n\nThis repository should behave like a maintainable documentation-and-automation system, not like a dump of one-off prompt files.\n\n## Preferences\n\n### Likes\n\n- Public NuGet distribution and CI-verified installability for the tool instead of contributor-local `--add-source` install loops.\n- Canonical `dotnet-*` skill IDs in the repository, with short aliases in CLI c\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /opt/codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /opt/codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n",{"_486":976,"_477":478,"_488":966},{"_489":977,"_491":-5,"_41":-5,"_492":-5,"_95":978,"_91":493},[979],"developer",{"_45":980,"_91":733},"Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled. Approvals are your mechanism to get user consent to run shell commands without the sandbox. `approval_policy` is `never`: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is paired with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.",[],"messages",[984],{"_41":985,"_986":987,"_988":989,"_990":989,"_489":991,"_483":992,"_491":-5,"_993":31,"_994":995,"_996":357,"_997":-5},"1c89fcf2-be43-4fe8-94f4-8f9fcb069740","author",{"_95":381,"_241":-5,"_994":1006},"create_time",1773785839.183429,"update_time",{"_1002":45,"_1003":1004},"finished_successfully","weight","metadata",{"_998":999},"recipient","channel","l1239dk1",{"_1000":1001},"inline_comments",[],"content_type","parts",[1005],"@codex resolve conflicts\nRefresh agent-background-responses skill reference for current Agent Framework API\n\nUpstream documentation for `agent-background-responses` changed (ETag mismatch detected by watch). The existing reference snapshot used stale sample paths and a renamed API surface.\n\n## Reference file updates (`agent-background-responses.md`)\n\n- **Sample links**: `GettingStarted/Agents/Agent_Step17_BackgroundResponses` → `dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses`\n- **API renames** across all code examples:\n - `AgentThread` / `GetNewThreadAsync()` → `AgentSession` / `CreateSessionAsync()`\n - `GetOpenAIResponseClient()` → `GetResponsesClient()`\n - `AzureCliCredential` → `DefaultAzureCredential` (with production caution note)\n- **New section** — *Background Responses with Tools and State Persistence* — covering the new `Agent_Step10_BackgroundResponsesWithToolsAndPersistence` sample: function tools during background ops, `SerializeSessionAsync`/`DeserializeSessionAsync`, and `AgentAbstractionsJsonUtilities.DefaultOptions` for `ResponseContinuationToken` round-tripping\n\n```csharp\n// Before\nAIAgent agent = new AzureOpenAIClient(new Uri(\"https://.openai.azure.com\"), new AzureCliCredential())\n .GetOpenAIResponseClient(\"\")\n .AsAIAgent();\nAgentThread thread = await agent.GetNewThreadAsync();\n\n// After\nAIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())\n .GetResponsesClient(deploymentName)\n .AsAIAgent();\nAgentSession session = await agent.CreateSessionAsync();\n```\n\n- **Limitations** tightened: explicitly scopes background response support to `GetResponsesClient`-based agents only\n\n## SKILL.md\n\nIncorporated `AgentWorkflowBuilder` additions from main (`BuildConcurrent` factory method in Core Knowledge and Decision Cheatsheet). Version bumped `1.4.0` → `1.5.1` to reflect both the merged main changes and the material reference update.\n\n\n\n\n\n

\n\n

Original prompt

ℹ️ About Codex in GitHub

\n
\n\n[Your team has set up Codex to review pull requests in this repo](http://chatgpt.com/codex/settings/general). Reviews are triggered when you\n- Open a pull request for review\n- Mark a draft as ready\n- Comment \"@codex review\".\n\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\n\n\n\n\nCodex can also answer questions or update the PR. Try commenting \"@codex address that feedback\".\n \n

\nThe C# samples now reference `endpoint` and `deploymentName` variables, but they aren’t defined anywhere in this doc. This makes the snippet non-copy/pasteable; consider switching back to inline placeholders (e.g., `\"https://.openai.azure.com\"`, `\"\"`) or add a short pre-snippet definition showing how to set these values.\n\nThis doc switches from `AgentThread`/`GetNewThreadAsync()` to `AgentSession`/`CreateSessionAsync()`, but `AgentSession` isn’t referenced anywhere else in the repo docs and the rest of the guidance (including this skill’s SKILL.md) consistently describes conversation state living in `AgentThread`. Please verify these types/methods are actually part of the public API you’re documenting; if they’re specific to background responses, add a brief explanation of when/why `AgentSession` is required, otherwise align the samples and text back to `AgentThread`.\nIn the tools/persistence example, the loop persists `session` each iteration, but the polling call uses `restoredSession`. After a restore (or after the first polling call), persisting the original `session` risks saving stale state; persist the same session instance you’re actually continuing with (e.g., update `session = restoredSession` before persisting, or persist `restoredSession`).\n\nThe limitations bullet calls out `GetResponsesClient`, but other docs in this snapshot use `GetOpenAIResponseClient(...)` for Responses and the NOTE earlier in this file lists supported agent types rather than a factory method. To avoid drifting API names (and confusing readers), consider removing the method name here or making it consistent with the rest of the docs/API surface you’re documenting.\n\n## Pull request overview\n\nUpdates the `.NET Microsoft Agent Framework` skill package metadata and refreshes the “Agent Background Responses” reference doc to reflect newer samples and guidance around continuation tokens, streaming resumption, and tool/state persistence.\n\n**Changes:**\n- Bump skill version from `1.4.0` to `1.4.1`.\n- Update background responses doc metadata date and sample link, and revise C# examples (client setup, polling, streaming resumption).\n- Add a new section describing background responses with function tools and session/state persistence, plus updated best practices/limitations notes.\n\n### Reviewed changes\n\nCopilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.\n\n| File | Description |\n| ---- | ----------- |\n| skills/dotnet-microsoft-agent-framework/SKILL.md | Version bump for the skill package. |\n| skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | Refreshes background responses documentation, examples, and adds tools/persistence guidance. |\n\n\n\n\n\n---\n\nYou can also share your feedback on Copilot code review. [Take the survey](https://www.surveymonkey.com/r/XP6L3XJ).\n\n> @copilot resolve conflict \n\nResolved in ba9cbea. `SKILL.md` now incorporates the `AgentWorkflowBuilder` additions merged from main, with version bumped to `1.5.1`.\n@copilot resolve conflicts ",{},"created",1773785924.690196,"Completing the task","event_type","info",{"_91":493,"_95":92,"_489":1171},{"_91":1039,"_1040":1041},{"_91":1015,"_1016":1017,"_1018":1019,"_1020":1021,"_1022":-5},"pr","pr_title","Codex-generated pull request","pr_message","Codex generated this pull request, but encountered an unexpected error after generation. This is a placeholder PR message.","output_diff",{"_91":1020,"_1023":533,"_127":128,"_1024":-5,"_380":1025,"_1026":1027,"_1028":819,"_1029":1030,"_1031":1032,"_1033":1034,"_1035":-5},"pre_apply_patch","repo_id","preapply_patch_base_commit_sha","diff --git a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\nindex d4f2ca696c7d4975baa04b82844f20dfee988a97..57dadbb8d421ffc5b87d9ad5bc88ad15065cdae3 100644\n--- a/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n+++ b/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md\n@@ -35,180 +35,179 @@ The continuation token contains all necessary information to either poll for com\n \n ::: zone pivot=\"programming-language-csharp\"\n \n ## Enabling Background Responses\n \n To enable background responses, set the `AllowBackgroundResponses` property to `true` in the `AgentRunOptions`:\n \n ```csharp\n AgentRunOptions options = new()\n {\n AllowBackgroundResponses = true\n };\n ```\n \n > [!NOTE]\n > Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).\n \n Some agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.\n \n ## Non-Streaming Background Responses\n \n For non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n \n AgentSession session = await agent.CreateSessionAsync();\n \n // Get initial response - may return with or without a continuation token\n AgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);\n \n // Continue to poll until the final response is received\n while (response.ContinuationToken is { } token)\n {\n // Wait before polling again.\n await Task.Delay(TimeSpan.FromSeconds(2));\n \n options.ContinuationToken = token;\n response = await agent.RunAsync(session, options);\n }\n \n Console.WriteLine(response.Text);\n ```\n \n ### Key Points:\n \n - The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)\n - If no continuation token is returned, the operation is complete and the response contains the final result\n - If a continuation token is returned, the agent has started a background process that requires polling\n - Use the continuation token from the previous response in subsequent polling calls\n - When `ContinuationToken` is `null`, the operation is complete\n-- Use `AgentSession` (via `CreateSessionAsync()`) to hold conversation context instead of `AgentThread`\n+- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container\n \n ## Streaming Background Responses\n \n In streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent();\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n \n AgentSession session = await agent.CreateSessionAsync();\n \n AgentResponseUpdate? lastReceivedUpdate = null;\n \n await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))\n {\n Console.Write(update.Text);\n \n lastReceivedUpdate = update;\n \n- // Simulate connection loss after first piece of content received\n- if (update.Text.Length > 0)\n- {\n- break;\n- }\n+ // Simulate interruption\n+ break;\n }\n \n // Resume from interruption point captured by the continuation token\n options.ContinuationToken = lastReceivedUpdate?.ContinuationToken;\n await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))\n {\n Console.Write(update.Text);\n }\n ```\n \n ### Key Points:\n \n - Each `AgentResponseUpdate` contains a continuation token that can be used for resumption\n - Store the continuation token from the last received update before interruption\n - Use the stored continuation token to resume the stream from the interruption point\n \n ## Background Responses with Tools and State Persistence\n \n Background responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.\n \n > [!TIP]\n > For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs).\n \n ```csharp\n AIAgent agent = new AzureOpenAIClient(\n- new Uri(endpoint),\n+ new Uri(\"https://.openai.azure.com\"),\n new DefaultAzureCredential())\n- .GetResponsesClient(deploymentName)\n+ .GetResponsesClient(\"\")\n .AsAIAgent(\n name: \"SpaceNovelWriter\",\n instructions: \"You are a space novel writer. Always research relevant facts before writing.\",\n tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);\n \n AgentRunOptions options = new() { AllowBackgroundResponses = true };\n AgentSession session = await agent.CreateSessionAsync();\n+AgentSession activeSession = session;\n \n AgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);\n \n while (response.ContinuationToken is not null)\n {\n // Persist session and continuation token to durable storage\n- await PersistAgentState(agent, session, response.ContinuationToken);\n+ await PersistAgentState(agent, activeSession, response.ContinuationToken);\n \n await Task.Delay(TimeSpan.FromSeconds(10));\n \n // Restore state (e.g. after process restart)\n var (restoredSession, continuationToken) = await RestoreAgentState(agent);\n+ activeSession = restoredSession;\n \n options.ContinuationToken = continuationToken;\n- response = await agent.RunAsync(restoredSession, options);\n+ response = await agent.RunAsync(activeSession, options);\n }\n \n Console.WriteLine(response.Text);\n ```\n \n ### Key Points for Tools and Persistence:\n \n - Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations\n - Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`\n - Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage\n - Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly\n - Persisting state enables recovery from process restarts and server-side recycling between polling cycles\n \n ::: zone-end\n \n ::: zone pivot=\"programming-language-python\"\n \n > [!NOTE]\n > Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.\n \n ::: zone-end\n \n ## Best Practices\n \n When working with background responses, consider the following best practices:\n \n - **Implement appropriate polling intervals** to avoid overwhelming the service\n - **Use exponential backoff** for polling intervals if the operation is taking longer than expected\n - **Always check for `null` continuation tokens** to determine when processing is complete\n - **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts\n - **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks\n \n ## Limitations and Considerations\n \n - Background responses are dependent on the underlying AI service supporting long-running operations\n-- Currently only agents using the OpenAI Responses API (`GetResponsesClient`) support background responses\n+- Currently only OpenAI Responses API agent types support background responses\n - Network interruptions or client restarts may require special handling to persist continuation tokens\n - Function tools registered with `AIFunctionFactory` are supported during background operations\n \n ## Next steps\n \n > [!div class=\"nextstepaction\"]\n-> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n\\ No newline at end of file\n+> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)\n","external_storage_diff",{"_1036":1037,"_1038":-5},"files_modified","lines_added",15,"lines_removed",16,"commit_message","fix background responses doc examples after PR review","additional_parent_commit_shas","file_id","file_0000000032e071f7b89036a3dabe167b","ttl","partial_repo_snapshot","files",[1042],{"_191":545,"_1043":-5,"_1044":1045,"_1046":-5},"contents","line_range_contents",[1047],"missing_reason",{"_1048":819,"_1049":1050,"_489":1051,"_1052":57},"line_range_start","line_range_end",213,[1053,1054,1055,1056,1057,1058,1059,1060,1061,1053,259,1062,259,1063,259,1064,1065,259,1066,259,1067,1068,1069,1070,1071,259,1072,259,1073,259,1074,1075,259,1076,259,1077,259,1078,259,1079,259,1080,1081,1082,1083,1084,1085,259,1086,1087,259,1088,259,1089,259,1090,259,1080,1091,1092,1093,1094,1095,259,1096,259,1097,259,1098,1099,259,1100,1101,1082,1102,1103,259,1104,1105,1106,259,1107,1085,259,1108,259,1109,1110,1111,1112,1113,1114,259,1115,259,1116,259,1080,1091,1092,1093,1094,1095,259,1096,259,1097,259,1117,259,1118,1082,1119,259,1120,259,1121,1122,1106,259,1123,1124,1125,1082,1119,1106,1085,259,1108,259,1126,1127,1128,259,1129,259,1130,259,1064,1131,259,1080,1091,1092,1093,1094,1132,1133,1134,1135,259,1096,1097,1136,259,1137,259,1138,1082,1139,1140,259,1141,259,1142,1143,1144,259,1145,1146,1106,259,1107,1085,259,1147,259,1148,1149,1150,1151,1152,259,1153,259,1154,259,1086,1155,259,1153,259,1156,259,1157,259,1158,1159,1160,1161,1162,259,1163,259,1164,1165,1166,1167,259,1168,259,1169,1170],"contains_end_of_file","---","title: Agent Background Responses","description: Learn how to handle long-running operations with background responses in Agent Framework","zone_pivot_groups: programming-languages","author: sergeymenshykh","ms.topic: reference","ms.author: semenshi","ms.date: 03/17/2026","ms.service: agent-framework","# Agent Background Responses","The Microsoft Agent Framework supports background responses for handling long-running operations that may take time to complete. This feature enables agents to start processing a request and return a continuation token that can be used to poll for results or resume interrupted streams.","> [!TIP]","> For a complete working example, see the [Background Responses sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs).","## When to Use Background Responses","Background responses are particularly useful for:","- Complex reasoning tasks that require significant processing time","- Operations that may be interrupted by network issues or client timeouts","- Scenarios where you want to start a long-running task and check back later for results","- Long-running tasks that also invoke function tools during background processing","## How Background Responses Work","Background responses use a **continuation token** mechanism to handle long-running operations. When you send a request to an agent with background responses enabled, one of two things happens:","1. **Immediate completion**: The agent completes the task quickly and returns the final response without a continuation token","2. **Background processing**: The agent starts processing in the background and returns a continuation token instead of the final result","The continuation token contains all necessary information to either poll for completion using the non-streaming agent API or resume an interrupted stream with streaming agent API. When the continuation token is `null`, the operation is complete - this happens when a background response has completed, failed, or cannot proceed further (for example, when user input is required).","::: zone pivot=\"programming-language-csharp\"","## Enabling Background Responses","To enable background responses, set the `AllowBackgroundResponses` property to `true` in the `AgentRunOptions`:","```csharp","AgentRunOptions options = new()","{"," AllowBackgroundResponses = true","};","```","> [!NOTE]","> Currently, only agents that use the OpenAI Responses API support background responses: [OpenAI Responses Agent](agent-types/openai-responses-agent.md) and [Azure OpenAI Responses Agent](agent-types/azure-openai-responses-agent.md).","Some agents may not allow explicit control over background responses. These agents can decide autonomously whether to initiate a background response based on the complexity of the operation, regardless of the `AllowBackgroundResponses` setting.","## Non-Streaming Background Responses","For non-streaming scenarios, when you initially run an agent, it may or may not return a continuation token. If no continuation token is returned, it means the operation has completed. If a continuation token is returned, it indicates that the agent has initiated a background response that is still processing and will require polling to retrieve the final result:","AIAgent agent = new AzureOpenAIClient("," new Uri(\"https://.openai.azure.com\"),"," new DefaultAzureCredential())"," .GetResponsesClient(\"\")"," .AsAIAgent();","AgentRunOptions options = new() { AllowBackgroundResponses = true };","AgentSession session = await agent.CreateSessionAsync();","// Get initial response - may return with or without a continuation token","AgentResponse response = await agent.RunAsync(\"Write a very long novel about otters in space.\", session, options);","// Continue to poll until the final response is received","while (response.ContinuationToken is { } token)"," // Wait before polling again."," await Task.Delay(TimeSpan.FromSeconds(2));"," options.ContinuationToken = token;"," response = await agent.RunAsync(session, options);","}","Console.WriteLine(response.Text);","### Key Points:","- The initial call may complete immediately (no continuation token) or start a background operation (with continuation token)","- If no continuation token is returned, the operation is complete and the response contains the final result","- If a continuation token is returned, the agent has started a background process that requires polling","- Use the continuation token from the previous response in subsequent polling calls","- When `ContinuationToken` is `null`, the operation is complete","- The latest Responses API samples use `AgentSession` (via `CreateSessionAsync()`) as the conversation state container","## Streaming Background Responses","In streaming scenarios, background responses work much like regular streaming responses - the agent streams all updates back to consumers in real-time. However, the key difference is that if the original stream gets interrupted, agents support stream resumption through continuation tokens. Each update includes a continuation token that captures the current state, allowing the stream to be resumed from exactly where it left off by passing this token to subsequent streaming API calls:","AgentResponseUpdate? lastReceivedUpdate = null;","await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(\"Write a very long novel about otters in space.\", session, options))"," Console.Write(update.Text);"," lastReceivedUpdate = update;"," // Simulate interruption"," break;","// Resume from interruption point captured by the continuation token","options.ContinuationToken = lastReceivedUpdate?.ContinuationToken;","await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))","- Each `AgentResponseUpdate` contains a continuation token that can be used for resumption","- Store the continuation token from the last received update before interruption","- Use the stored continuation token to resume the stream from the interruption point","## Background Responses with Tools and State Persistence","Background responses also support function calling during background operations. Functions can be invoked by the agent while it processes in the background. Combined with session serialization, you can persist the agent state between polling cycles and restore it in a new process or after a restart.","> For a complete working example, see the [Background Responses with Tools and Persistence sample](https://github.com/microsoft/agent-framework/blob/main/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs)."," .AsAIAgent("," name: \"SpaceNovelWriter\","," instructions: \"You are a space novel writer. Always research relevant facts before writing.\","," tools: [AIFunctionFactory.Create(ResearchSpaceFactsAsync), AIFunctionFactory.Create(GenerateCharacterProfilesAsync)]);","AgentSession activeSession = session;","AgentResponse response = await agent.RunAsync(\"Write a very long novel about astronauts exploring an uncharted galaxy.\", session, options);","while (response.ContinuationToken is not null)"," // Persist session and continuation token to durable storage"," await PersistAgentState(agent, activeSession, response.ContinuationToken);"," await Task.Delay(TimeSpan.FromSeconds(10));"," // Restore state (e.g. after process restart)"," var (restoredSession, continuationToken) = await RestoreAgentState(agent);"," activeSession = restoredSession;"," options.ContinuationToken = continuationToken;"," response = await agent.RunAsync(activeSession, options);","### Key Points for Tools and Persistence:","- Tools registered via `AIFunctionFactory.Create(...)` are called normally during background operations","- Use `agent.SerializeSessionAsync(session)` to persist the session to a `JsonElement`","- Use `agent.DeserializeSessionAsync(serializedSession)` to restore a session from storage","- Use `AgentAbstractionsJsonUtilities.DefaultOptions` when serializing `ResponseContinuationToken` directly","- Persisting state enables recovery from process restarts and server-side recycling between polling cycles","::: zone-end","::: zone pivot=\"programming-language-python\"","> Background responses support in Python is coming soon. This feature is currently available in the .NET implementation of Agent Framework.","## Best Practices","When working with background responses, consider the following best practices:","- **Implement appropriate polling intervals** to avoid overwhelming the service","- **Use exponential backoff** for polling intervals if the operation is taking longer than expected","- **Always check for `null` continuation tokens** to determine when processing is complete","- **Consider storing continuation tokens and session state persistently** for operations that may span user sessions or process restarts","- **Use `DefaultAzureCredential` carefully in production**: it is convenient for development but uses credential fallback chains; prefer `ManagedIdentityCredential` or a specific credential in production to avoid latency and security risks","## Limitations and Considerations","- Background responses are dependent on the underlying AI service supporting long-running operations","- Currently only OpenAI Responses API agent types support background responses","- Network interruptions or client restarts may require special handling to persist continuation tokens","- Function tools registered with `AIFunctionFactory` are supported during background operations","## Next steps","> [!div class=\"nextstepaction\"]","> [Using MCP Tools](../model-context-protocol/using-mcp-tools.md)",[1172,1173,1174,1175,1176,1177,1178,1179,1180,1181,1182,1183,1184],{"_1002":45,"_45":1205},{"_1002":1186,"_191":545,"_1048":1203,"_1049":1204},{"_1002":1186,"_191":545,"_1048":1201,"_1049":1202},{"_1002":1186,"_191":545,"_1048":1199,"_1049":1200},{"_1002":45,"_45":1198},{"_1002":1186,"_191":545,"_1048":1196,"_1049":1197},{"_1002":45,"_45":1195},{"_1002":1186,"_191":545,"_1048":1193,"_1049":1194},{"_1002":45,"_45":1192},{"_1002":1186,"_191":545,"_1048":1190,"_1049":1191},{"_1002":45,"_45":1189},{"_1002":1186,"_191":545,"_1048":1187,"_1049":1188},{"_1002":45,"_45":1185},"\n* Committed the change (`14d3948`) and created a follow-up PR via the `make_pr` tool as requested.\n\n**Testing**\n* ✅ `curl -L --max-time 30 'https://learn.microsoft.com/agent-framework/user-guide/agents/agent-background-responses?tabs=csharp' | rg -n \"CreateSessionAsync|AgentSession|GetResponsesClient|GetOpenAIResponseClient|update.Text.Length|DefaultAzureCredential|endpoint|deploymentName\"` \n* ✅ `python3 -m py_compile scripts/generate_catalog.py` \n* ✅ `python3 scripts/generate_catalog.py --validate-only`","repo_file_citation",203,208,"\n* Generalized the limitations wording from a specific factory method mention to API-surface scope (“OpenAI Responses API agent types”), reducing naming-drift risk. ",152,171,"\n* Fixed the tools/persistence loop so persistence and continuation always use the active/restored session instance (`activeSession`), avoiding stale-session drift across polling iterations. ",87,93,"\n* Clarified the `AgentSession` wording to align with current Responses API sample terminology without over-asserting broader repo-wide replacement semantics. ",111,119,"\n* Removed the null-risk interruption condition in the streaming sample (`update.Text.Length`) and switched to a simple interruption `break`, preventing possible null dereference on non-text updates. ",143,147,99,103,59,63,"**Summary**\n* Resolved the follow-up PR feedback in the background-responses reference by restoring copy/paste-safe inline placeholders (`https://...`, ``) across the C# snippets instead of undefined local variables. ",{"_91":381,"_41":83,"_95":381,"_1208":1209,"_1210":1211,"_1212":1213,"_131":-5,"_118":1214},[82],"input_items",[1231,1232,1233,1234,1235,1236,1237,1238,1239,1240,1241,1242,1243],"external_post_config",{"_1215":1216,"_321":256,"_1217":362,"_332":-5,"_1023":315,"_1218":-5,"_1219":1220,"_1221":1222,"_1223":-5,"_1224":-5,"_1225":1226,"_1227":15,"_1228":57,"_1229":52,"_1230":15},"user_model_slug","slug",1773785833.797608,"installation_id",86751822,"pr_number","review_trigger","comment_id",4078306507,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",339033283,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_91":493,"_95":381,"_489":1267},{"_369":370,"_371":372,"_1264":376,"_1265":128,"_378":-5,"_91":1266},{"_91":1244,"_371":1263,"_191":-5,"_1246":-5,"_1247":-5},{"_91":1244,"_371":1261,"_191":545,"_1246":1251,"_1247":1262},{"_91":1244,"_371":1259,"_191":545,"_1246":1251,"_1247":1260},{"_91":1244,"_371":1258,"_191":-5,"_1246":-5,"_1247":-5},{"_91":1244,"_371":1256,"_191":545,"_1246":1251,"_1247":1257},{"_91":1244,"_371":1254,"_191":545,"_1246":1251,"_1247":1255},{"_91":1244,"_371":1253,"_191":545,"_1246":1251,"_1247":1191},{"_91":1244,"_371":1250,"_191":545,"_1246":1251,"_1247":1252},{"_91":1244,"_371":1249,"_191":-5,"_1246":-5,"_1247":-5},{"_91":1244,"_371":1248,"_191":-5,"_1246":-5,"_1247":-5},{"_91":1244,"_371":1245,"_191":-5,"_1246":-5,"_1247":-5},"pull_request_comment","@copilot resolve conflicts ","side","line","\n> @copilot resolve conflict \n\nResolved in ba9cbea. `SKILL.md` now incorporates the `AgentWorkflowBuilder` additions merged from main, with version bumped to `1.5.1`.","## Pull request overview\n\nUpdates the `.NET Microsoft Agent Framework` skill package metadata and refreshes the “Agent Background Responses” reference doc to reflect newer samples and guidance around continuation tokens, streaming resumption, and tool/state persistence.\n\n**Changes:**\n- Bump skill version from `1.4.0` to `1.4.1`.\n- Update background responses doc metadata date and sample link, and revise C# examples (client setup, polling, streaming resumption).\n- Add a new section describing background responses with function tools and session/state persistence, plus updated best practices/limitations notes.\n\n### Reviewed changes\n\nCopilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.\n\n| File | Description |\n| ---- | ----------- |\n| skills/dotnet-microsoft-agent-framework/SKILL.md | Version bump for the skill package. |\n| skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.md | Refreshes background responses documentation, examples, and adds tools/persistence guidance. |\n\n\n\n\n\n---\n\nYou can also share your feedback on Copilot code review. [Take the survey](https://www.surveymonkey.com/r/XP6L3XJ).","The limitations bullet calls out `GetResponsesClient`, but other docs in this snapshot use `GetOpenAIResponseClient(...)` for Responses and the NOTE earlier in this file lists supported agent types rather than a factory method. To avoid drifting API names (and confusing readers), consider removing the method name here or making it consistent with the rest of the docs/API surface you’re documenting.\n","RIGHT",207,"In the tools/persistence example, the loop persists `session` each iteration, but the polling call uses `restoredSession`. After a restore (or after the first polling call), persisting the original `session` risks saving stale state; persist the same session instance you’re actually continuing with (e.g., update `session = restoredSession` before persisting, or persist `restoredSession`).\n","This doc switches from `AgentThread`/`GetNewThreadAsync()` to `AgentSession`/`CreateSessionAsync()`, but `AgentSession` isn’t referenced anywhere else in the repo docs and the rest of the guidance (including this skill’s SKILL.md) consistently describes conversation state living in `AgentThread`. Please verify these types/methods are actually part of the public API you’re documenting; if they’re specific to background responses, add a brief explanation of when/why `AgentSession` is required, otherwise align the samples and text back to `AgentThread`.",73,"The C# samples now reference `endpoint` and `deploymentName` variables, but they aren’t defined anywhere in this doc. This makes the snippet non-copy/pasteable; consider switching back to inline placeholders (e.g., `\"https://.openai.azure.com\"`, `\"\"`) or add a short pre-snippet definition showing how to set these values.\n",62,"\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `3247cc44fa`\n \n\n

ℹ️ About Codex in GitHub

","**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Persist the restored session state inside polling loop**\n\nInside the new tools/persistence example, each iteration persists `session` even after the run is resumed with `restoredSession`. On the second and later iterations this can save an outdated session snapshot paired with a newer continuation token, causing state drift when restoring after interruptions. The persisted session should be the same session instance used for the latest `RunAsync` call.\n\nUseful? React with 👍 / 👎.",163,"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Guard stream update text before checking length**\n\nThis new interruption condition dereferences `update.Text` directly, but streaming updates are not guaranteed to carry text content (for example, tool-call or metadata updates), so `update.Text` can be `null`. In that case this sample throws `NullReferenceException` before storing a continuation token, which breaks the resume flow it is trying to demonstrate.\n\nUseful? React with 👍 / 👎.",118,"@copilot resolve conflict ","base_ref","head_ref","pull_request_info",[1268],{"_1002":45,"_45":1269},"@codex resolve conflicts 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