Borrowing it
Nothing to install: this file belongs to managedcode/dotPilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/managedcode/dotPilot/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/agent-background-responses.mdgit clone --depth 1 https://github.com/managedcode/dotPilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/managedcode/dotpilot/agent-background-responses)<a href="https://agentmods.dev/agents/managedcode/dotpilot/agent-background-responses"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-background-responses/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/managedcode/dotpilot/agent-background-responses"><img src="https://agentmods.dev/badge/agents/managedcode/dotpilot/agent-background-responses.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00013 | $0.01440 |
| Opus 5.5 | $0.00005 | $0.00576 |
| Sonnet 5.5 | $0.00003 | $0.00288 |
| Haiku 4.5 | $0.00001 | $0.00144 |
Grade A, and why
agent-background-responses scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
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
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).
::: zone pivot="programming-language-csharp"
Enabling Background Responses
To enable background responses, set the AllowBackgroundResponses property to true in the AgentRunOptions:
AgentRunOptions options = new()
{
AllowBackgroundResponses = true
};
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 166 lines · 13 tokens per session scan A bf6fdd748894
agent-background-responses is an agent published in the GitHub repository managedcode/dotPilot (25 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 1,440 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
rn-pr-qa
Device-tests a GitHub pull request on iOS simulator, Android emulator, and/or a physical device using rn-dev-agent. Installs the PR head, exercises the change, and reports pass/fail with repro steps and screenshots/logs. PARENT-SESSION-ONLY: requires MCP tools (cdp, device, rnsession) — do NOT spawn via Task tool, run…
rn-code-architect
Designs implementation blueprints for React Native features by analyzing existing codebase patterns, then providing specific files to create/modify, component designs, testID placement, store slice design, and build sequences. Triggers: "design the architecture", "plan the implementation", "create a blueprint", "what…
harness-radar
Weekly movement briefing on the AI agent harness space — what climbed, what entered the radar, what died — from the best-of-Agent-Harnesses dataset, which rescores itself every week. Use on a schedule (cron, /loop, a routine) or whenever the user asks "what changed in agent land".
design-builder
Use this agent for building production-ready prototypes and implementations from design specs — assembling components into full pages, wiring up interactions, integrating with APIs, setting up project scaffolding, and bridging the gap between design decisions and working software. Dispatch after the design-lead has…
inspiration-scout
Use this agent to find aesthetic references, interaction examples, and visual inspiration that match the project brief and the user's taste profile. Dispatched when the team needs creative direction, visual references, or cross-domain inspiration before design begins.
world-agent
A world-state and turn-management agent for the Kagurajima setting. It sends each turn to the active character agents, combines their results, and closes the turn with the final story.