AI SDKs: Tools and Solutions

Recommendation

Choose native fidelity or an application abstraction first.

Use an official SDK when one provider is deliberate and native capabilities matter. Use AI SDK when a TypeScript application gains meaningful value from shared provider, streaming, or UI primitives.¹ ²

For: TypeScript and JavaScript application teams integrating generative-model APIs after defining the underlying provider and workload requirements

Main trade-off

Provider-native SDKs expose current product behavior directly; a shared application layer can reduce integration duplication and add streaming or UI primitives while introducing adapter coverage and escape-hatch risk.¹ ² ³ ⁴

Choose the product and operating model first

Start from workload, integration, quality, policy, data, lifecycle, and ownership requirements before comparing product breadth.

Provider commitment
Decide whether one provider is an intentional dependency or credible provider choice is a hard requirement.¹ ⁴
Native feature fidelity
List the tools, events, streaming, realtime, multimodal, state, and provider-specific options the application cannot wait to receive through an adapter.¹ ²
Runtime and UI needs
Separate basic server API access from shared streaming, frontend state, provider registry, framework, and generative UI requirements.⁴
Production ownership
Keep credentials, authorization, message conversion, tool execution, validation, retry, telemetry, evaluation, policy, and migration explicit.¹

Decision routes

Each route addresses a distinct workload or ownership boundary and retains an explicit verification condition.

OpenAI official SDK

Choose OpenAI official SDK

Choose the official OpenAI SDK when OpenAI is deliberate and current OpenAI API fidelity matters more than provider portability.

Verify: Verify the exact API, model, tools, state, storage, retention, runtime, lifecycle, limits, and current pricing.¹

Anthropic official SDK

Choose Anthropic official SDK

Choose Anthropic's official SDK when native Messages, streaming, tool-use, and Claude-specific semantics are deliberate.

Verify: The application still owns client tools, credentials, validation, state, failure handling, beta-feature risk, data terms, limits, and cost.²

Google official SDK

Choose Google official SDK

Choose the current Google Gen AI SDK when Gemini-native capabilities or a Google delivery path are material.

Verify: Use the current @google/genai family, distinguish Gemini Developer API from other Google routes, and verify package, auth, API lifecycle, region, policy, limits, and pricing.³

TypeScript provider abstraction

Choose TypeScript provider abstraction

Choose AI SDK when a common provider surface, provider registry, streaming, or generative UI primitives remove meaningful TypeScript application work.

Verify: Portability is partial; verify adapter coverage, provider-defined tools and options, escape hatches, runtime support, telemetry, and abstraction migration.⁴

Boundary: AI SDKs own provider-native versus provider-normalizing code integration and tool abstractions. LLM APIs own model selection, AI Agents own model-directed workflow control, and AI Gateways own centralized request-path policy.

Differences that change the choice

Compare the workload, product boundary, policy, lifecycle, data path, cost shape, and operating ownership rather than feature volume.

Fidelity: Native SDKs expose provider behavior directly; an application abstraction may normalize or trail new capabilities.¹ ²

Portability: A common interface reduces some switching work but does not equalize prompts, tools, policies, state, outputs, or operations.¹ ⁴

Application surface: AI SDK adds shared TypeScript and UI primitives while provider SDKs primarily expose their provider APIs.¹ ²

Ownership: Every route leaves authorization, tool execution, validation, evaluation, observability, cost control, and recovery with the application.¹ ⁴