AI SDKs companies, products & suppliers

Client libraries and SDKs for calling models and AI services from application code. Jobs: official model sdks; typed clients; streaming helpers.

What are AI SDKs?

Client libraries and SDKs for calling models and AI services from application code. Jobs: official model sdks; typed clients; streaming helpers.

What problems does it solve?

Each model host has a different request shape, so application code forks.

Typical business use cases

  • Official model SDKs
  • Typed clients
  • Streaming helpers

Important capabilities

  • Language support
  • Auth helpers
  • Retry and streaming

What buyers should evaluate

  • Licence
  • Telemetry defaults
  • Compatibility with pinned models

Risks and governance considerations

An SDK that phones home with prompts by default.

Procurement checklist

  • Telemetry opt-out
  • Pinned versions
  • Licence

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Anthropic

    Anthropic is a US AI safety and research company that develops the Claude assistant family and related APIs. Anthropic publishes Claude Computer Use, Claude Sonnet 5, and Claude Op

  • Cohere

    Cohere is a Toronto-headquartered model company selling text, embed and RAG-oriented APIs for enterprises. Public pages emphasise private deployment options alongside hosted APIs.

  • Google

    Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f

  • Hugging Face

    Hugging Face operates a model hub, inference tooling and collaboration products for machine-learning teams. Public pages cover hosting, inference endpoints and open-model distribut

  • LangChain

    LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform. Trusted by 7k+ organizations. LangCha

  • LlamaIndex

    LlamaIndex publishes LlamaExtract, LlamaCloud, and LlamaParse as named AI products. LlamaIndex is used for RAG systems and AI SDKs work. LlamaIndex publishes product information at

  • Microsoft

    Microsoft Corporation sells Windows, Azure, Microsoft 365 and Copilot AI products. Public pages cover cloud, productivity and developer APIs used by enterprises and consumers. Micr

  • Mistral AI

    Mistral AI is a Paris-headquartered model company selling open-weight and hosted language models. Public pages cover APIs, model licences and enterprise deployments. Mistral AI pub

  • OpenAI

    OpenAI is a US AI research company that sells hosted assistants, APIs and developer tools, including ChatGPT and the OpenAI API. OpenAI publishes ChatGPT Work, omni-moderation, and

  • Vercel

    Vercel publishes AI SDK, v0, and Vercel AI Gateway as named AI products. Vercel is used for AI SDKs and AI app builders work. Vercel is recorded in San Francisco, United States. Ve

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is AI SDKs?

Client libraries and SDKs for calling models and AI services from application code. Jobs: official model sdks; typed clients; streaming helpers.

What should not be listed as AI SDKs?

Products whose buyer job is finished assistants, model APIs as products, or agent frameworks. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every AI SDKs supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What are AI SDKs?

Client libraries and SDKs for calling models and AI services from application code. Jobs: official model sdks; typed clients; streaming helpers.

Should coding assistants be allowed to send private source code to third-party models?

That is a buyer policy decision. Procurement should require the default data-use terms, retention, whether snippets leave the organisation, and whether secrets are redacted. A listing under coding assistants does not mean code stays on-premises.

How should prompt injection and tool-output attacks be controlled?

Agents that read untrusted content or tool output can be instructed to exfiltrate data or take writes. Buyers should ask what is treated as untrusted, whether tool output can change the plan, and what tests were run. Scanner marketing is not the same as independent testing.

How can buyers tell whether customer data is used to train models?

Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.