running-agents

Documentation for running agents with Microsoft Agent Framework. It explains how to provide input and receive either a complete result or updates as the agent works.

In plain words
What is it for?
Use it when writing code that starts agents, handles their input, prints their results, or displays streamed responses in C# or Python.
Why use it?
It helps developers choose and implement the right way to run an agent instead of guessing between immediate and streamed output.

Agent for Codex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/managedcode/dotpilot/running-agents
Clone the repo
git clone --depth 1 https://github.com/managedcode/dotPilot

Made for: Codex.

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,510 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00008 $0.02510
Opus 5 $0.00004 $0.01255
Sonnet 5 $0.00002 $0.00502
Haiku 4.5 $0.00001 $0.00251

Measured yesterday against content hash 90e5eae4b13d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

running-agents 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 yesterday.

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.

Origin

This is a copy

100% identical to running-agents — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/user-guide/agents/running-agents.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Running Agents

The base Agent abstraction exposes various options for running the agent. Callers can choose to supply zero, one, or many input messages. Callers can also choose between streaming and non-streaming. Let's dig into the different usage scenarios.

Streaming and non-streaming

Microsoft Agent Framework supports both streaming and non-streaming methods for running an agent.

::: zone pivot="programming-language-csharp"

For non-streaming, use the RunAsync method.

Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));

For streaming, use the RunStreamingAsync method.

await foreach (var update in agent.RunStreamingAsync("What is the weather like in Amsterdam?"))
{
    Console.Write(update);
}

::: zone-end ::: zone pivot="programming-language-python"

For non-streaming, use the run method.

result = await agent.run("What is the weather like in Amsterdam?")
print(result.text)

For streaming, use the run_stream method.

async for update in agent.run_stream("What is the weather like in Amsterdam?"):
    if update.text:
        print(update.text, end="", flush=True)

::: zone-end

Agent run options

::: zone pivot="programming-language-csharp"

The base agent abstraction does allow passing an options object for each agent run, however the ability to customize a run at the abstraction level is quite limited. Agents can vary significantly and therefore there aren't really common customization options.

For cases where the caller knows the type of the agent they are working with, it is possible to pass type specific options to allow customizing the run.

For example, here the agent is a ChatClientAgent and it is possible to pass a ChatClientAgentRunOptions object that inherits from AgentRunOptions. This allows the caller to provide custom xref:Microsoft.Extensions.AI.ChatOptions that are merged with any agent level options before being passed to the IChatClient that the ChatClientAgent is built on.

Read the full file on GitHub · 283 lines

Changes

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.

  1. yesterday First seen · 283 lines · 8 tokens per session scan A 90e5eae4b13d

Subscribe to this mod's changes

running-agents is an agent published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 8 tokens to every session and 2,510 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to running-agents, differing in 0 lines, and is treated as a copy.

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