multi-turn-conversation

Instructions for keeping conversation state between several messages sent to an AI agent, whose individual calls do not remember earlier calls by themselves.

In plain words
What is it for?
Use it when creating multi-step chats with an agent, including streamed or regular responses.
Why use it?
It lets the agent respond with knowledge of the earlier messages instead of treating every call as a new conversation.

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/prompterone/multi-turn-conversation
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Codex.

Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,318 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00011 $0.01318
Opus 5 $0.00005 $0.00659
Sonnet 5 $0.00002 $0.00264
Haiku 4.5 $0.00001 $0.00132

Measured yesterday against content hash 8e20515f4eb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

multi-turn-conversation 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

Copies of this mod

2 near-identical copies found in the catalogue:

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/multi-turn-conversation.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-turn conversations with an agent

This tutorial step shows you how to have a multi-turn conversation with an agent, where the agent is built on the Azure OpenAI Chat Completion service.

[!IMPORTANT] Agent Framework supports many different types of agents. This tutorial uses an agent based on a Chat Completion service, but all other agent types are run in the same way. For more information on other agent types and how to construct them, see the Agent Framework user guide.

Prerequisites

For prerequisites and creating the agent, see the Create and run a simple agent step in this tutorial.

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

Running the agent with a multi-turn conversation

Agents are stateless and do not maintain any state internally between calls. To have a multi-turn conversation with an agent, you need to create an object to hold the conversation state and pass this object to the agent when running it.

To create the conversation state object, call the GetNewThreadAsync method on the agent instance.

AgentThread thread = await agent.GetNewThreadAsync();

You can then pass this thread object to the RunAsync and RunStreamingAsync methods on the agent instance, along with the user input.

Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", thread));

This will maintain the conversation state between the calls, and the agent will be able to refer to previous input and response messages in the conversation when responding to new input.

[!IMPORTANT] The type of service that is used by the AIAgent will determine how conversation history is stored. For example, when using a ChatCompletion service, like in this example, the conversation history is stored in the AgentThread object and sent to the service on each call. When using the Azure AI Agent service on the other hand, the conversation history is stored in the Azure AI Agent service and only a reference to the conversation is sent to the service on each call.

Read the full file on GitHub · 127 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 · 127 lines · 11 tokens per session scan A 8e20515f4eb5

Subscribe to this mod's changes

multi-turn-conversation is an agent published in the GitHub repository managedcode/PrompterOne (42 stars, last pushed 3mo ago), licensed MIT. It adds 11 tokens to every session and 1,318 once invoked, about $0.0001 per session on Opus 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.

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