What is microsoft-extensions-ai?

A set of provider-independent .NET interfaces for adding chat, embeddings, structured responses, tool calls, image generation, and vector search to applications.

Use it to build AI features such as streaming chat, embedding search, tool use, structured output, local-model connections, and evaluation workflows.

It lets application code use common AI abstractions while keeping the underlying model provider replaceable and easier to test.

microsoft-extensions-ai — Skill for Claude Code and Codex by managedcode: A set of provider-independent .NET interfaces for adding chat…

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 skills/managedcode/dotnet-skills/microsoft-extensions-ai

Any agent

npx skills add managedcode/dotnet-skills --skill microsoft-extensions-ai

Clone the repo

git clone --depth 1 https://github.com/managedcode/dotnet-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/managedcode/dotnet-skills/microsoft-extensions-ai.svg)](https://agentmods.dev/skills/managedcode/dotnet-skills/microsoft-extensions-ai)

Your own site

<a href="https://agentmods.dev/skills/managedcode/dotnet-skills/microsoft-extensions-ai"><img src="https://agentmods.dev/badge/skills/managedcode/dotnet-skills/microsoft-extensions-ai.svg" alt="Measured on agentmods" height="20"></a>

Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,781 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.

Model	Per session	Once invoked
Fable 5	$0.00128	$0.02781
Opus 5	$0.00064	$0.01391
Sonnet 5	$0.00026	$0.00556
Haiku 4.5	$0.00013	$0.00278

Measured yesterday against content hash d99a3bb896ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

microsoft-extensions-ai 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

1 near-identical copy found in the catalogue:

dotnet-microsoft-extensions-ai — 88% identical, 23 lines differ

catalog/Libraries/Microsoft-Extensions-AI/skills/microsoft-extensions-ai/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft.Extensions.AI

Trigger On

building or reviewing .NET code that uses Microsoft.Extensions.AI, Microsoft.Extensions.AI.Abstractions, IChatClient, IEmbeddingGenerator, ChatOptions, or AIFunction
adding IImageGenerator, local-model chat via Ollama, AI app templates, or the .NET AI quickstarts for assistants and MCP
choosing between low-level AI abstractions, provider SDKs, vector-search composition, evaluation libraries, and a fuller agent framework
adding streaming chat, structured output, embeddings, tool calling, telemetry, caching, or DI-based AI middleware
wiring Microsoft.Extensions.VectorData, Microsoft.Extensions.DataIngestion, MCP tooling, or evaluation packages around a provider-agnostic AI app

Workflow

Classify the request first: plain model access, tool calling, embeddings/vector search, evaluation, image generation, local-model prototyping, MCP bootstrap, or true agent orchestration.
Default to Microsoft.Extensions.AI for application and service code that needs provider-agnostic chat, embeddings, middleware, structured output, and testability.
Reference Microsoft.Extensions.AI.Abstractions directly only when authoring provider libraries or lower-level reusable integration packages.
Model IChatClient and IEmbeddingGenerator composition explicitly in DI. Keep options, caching, telemetry, logging, and tool invocation inspectable in the pipeline.
Treat chat state deliberately. For stateless providers, resend history. For stateful providers, propagate ConversationId rather than assuming all providers behave the same way.
Use Microsoft.Extensions.VectorData and Microsoft.Extensions.DataIngestion as adjacent building blocks for RAG instead of hand-rolling store abstractions prematurely. Treat the embedding model, vector dimensions, and collection schema as one owned contract: changing any of them means reindexing rather than reusing old vector data. Keep vector API source-breaking notes version-aware; in the 10.5+ line, named-argument usage of VectorStoreVectorAttribute uses dimensions:.
Treat the .NET AI quickstarts as bootstrap paths, not finished architecture. They now cover minimal assistants, MCP client/server flows, local models, app templates, and image generation. Start there for a vertical slice, then harden the DI, telemetry, and evaluation story here.
Escalate to microsoft-agent-framework when the requirement becomes agent threads, multi-agent orchestration, higher-order workflows, durable execution, or remote agent hosting.
Validate with real providers, realistic prompts, and evaluation gates so the abstraction layer actually buys portability and reliability.

Read the full file on GitHub · 119 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

yesterday First seen · 119 lines · 128 tokens per session scan A d99a3bb896ec

Subscribe to this mod's changes

microsoft-extensions-ai is a skill published in the GitHub repository managedcode/dotnet-skills (477 stars, last pushed 4d ago), licensed MIT. It adds 128 tokens to every session and 2,781 once invoked, about $0.0006 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 2026-09-03.

Data and AI RAG and vectors claude-code codex copilot dotnet dotnet-skills gemini

microsoft-extensions-ai

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

Copies of this mod

How it starts

Microsoft.Extensions.AI

Trigger On

Workflow

What ships with it

What this file has done since we first saw it

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