Skip to content

Pydantic AI vs Vercel AI SDK

The Vercel AI SDK adds model calls, tool loops and streaming chat to a TypeScript app, with useChat hooks and a broad provider registry; Eve, a separate Apache-2.0 package, adds an agent harness on top. Pydantic AI is the Python back end for that UI: a typed Agent, the Harness SDK, and a Vercel AI stream adapter so useChat renders our agents.

Pydantic AI is one part of a stack: the Harness SDK for capabilities and complete agents, Pydantic Evals, Pydantic Graph, Pydantic Logfire for observability, and Pydantic itself for validation. The tables below cover the whole of it.

Framework

Vercel AI SDKPydantic AI and Harness SDK
LanguageTypeScriptPython
LicenseApache-2.0MIT
Model providersManyMany
ExtensibilityMiddleware, toolsCapabilities and toolsets; 50+ with the Harness SDK
HarnessesEve, a separate package; adapters drive external harnessesBuilt-in Coder and Researcher, or compose your own
ObservabilityOpenTelemetryOpenTelemetry, including Pydantic Logfire
Durable executionYes5+ integrations
InterfacesReact chat UI, stream protocolCLI, web chat, AG-UI, Vercel AI, ACP (experimental)
Realtime voiceYes (experimental)Realtime
EvalsNoPydantic Evals
Image generationYesImage Generation

Features

Vercel AI SDKPydantic AI and Harness SDK
Multi-agentYes (Eve)Subagents, delegation, or pydantic-graph
PlanningYes (Eve)Planning
SkillsYes (Eve); provider-hosted in the SDKSkills
MemoryNoMemory
CompactionYes (Eve); pruneMessages in the SDKCompaction
GuardrailsYesGuardrails
Code sandboxesYes (experimental)Execution environments
Browser useNoWeb & research