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.
npx agentmods add agents/managedcode/prompterone/third-party-chat-history-storagegit clone --depth 1 https://github.com/managedcode/PrompterOneWhat 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 | $0.00016 | $0.04040 |
| Opus 5 | $0.00008 | $0.02020 |
| Sonnet 5 | $0.00003 | $0.00808 |
| Haiku 4.5 | $0.00002 | $0.00404 |
Grade A, and why
third-party-chat-history-storage 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- third-party-chat-history-storage — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storing Chat History in 3rd Party Storage
::: zone pivot="programming-language-csharp"
This tutorial shows how to store agent chat history in external storage by implementing a custom ChatMessageStore and using it with a ChatClientAgent.
By default, when using ChatClientAgent, chat history is stored either in memory in the AgentThread object or the underlying inference service, if the service supports it.
Where services do not require chat history to be stored in the service, it is possible to provide a custom store for persisting chat history instead of relying on the default in-memory behavior.
Prerequisites
For prerequisites, see the Create and run a simple agent step in this tutorial.
Install NuGet packages
To use Microsoft Agent Framework with Azure OpenAI, you need to install the following NuGet packages:
dotnet add package Azure.AI.OpenAI --prerelease
dotnet add package Azure.Identity
dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
In addition, you'll use the in-memory vector store to store chat messages.
dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --prerelease
Create a custom ChatMessage Store
To create a custom ChatMessageStore, you need to implement the abstract ChatMessageStore class and provide implementations for the required methods.
Message storage and retrieval methods
The most important methods to implement are:
InvokingAsync- called at the start of agent invocation to retrieve messages from the store that should be provided as context.InvokedAsync- called at the end of agent invocation to add new messages to the store.
InvokingAsync should return the messages in ascending chronological order (oldest first). All messages returned by it will be used by the ChatClientAgent when making calls to the underlying xref:Microsoft.Extensions.AI.IChatClient. It's therefore important that this method considers the limits of the underlying model, and only returns as many messages as can be handled by the model.
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.
- 2d ago First seen · 464 lines · 16 tokens per session scan A 4d3ac7c10a78
third-party-chat-history-storage is an agent published in the GitHub repository managedcode/PrompterOne (42 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 4,040 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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