@veridex/agents-adapters

Import, export, and live-bridge package for bringing existing agent systems into the Veridex runtime.

Status

@veridex/agents-adapters is usable today and already covers import/export plus live runtime bridges, but this area will keep expanding as more real-world migration paths get exercised.

What This Package Does

Use @veridex/agents-adapters when you want to:

• import OpenAI Agents SDK definitions into Veridex
• import LangGraph or PydanticAI-style agent definitions
• turn OpenAPI operations into tool contracts
• export Veridex definitions back into other framework shapes
• invoke external runtimes live instead of rewriting them first

This package exists to reduce rewrites and make migration incremental.

Installation

npm install @veridex/agents-adapters @veridex/agents

Package Surface

Export	Role
OpenAIAgentsAdapter	Import/export OpenAI Agents SDK-style definitions
LangGraphAdapter	Import/export LangGraph-style definitions
PydanticAIAdapter	Import/export PydanticAI-style definitions
OpenAPIImporter	Convert OpenAPI operations into Veridex tools
OpenAIRuntimeBridge	Invoke a live OpenAI Agents SDK runtime
LangGraphRuntimeBridge	Invoke a deployed LangGraph assistant/thread/run surface
PydanticAIRuntimeBridge	Invoke a live PydanticAI endpoint or A2A-facing runtime

Import and Export Adapters

OpenAI Agents SDK

import { OpenAIAgentsAdapter } from '@veridex/agents-adapters';

const adapter = new OpenAIAgentsAdapter();

const imported = adapter.importAgent({
  name: 'Support Agent',
  instructions: 'Handle support requests safely.',
  model: 'gpt-4o-mini',
  tools: [
    {
      type: 'function',
      function: {
        name: 'lookup_order',
        description: 'Look up an order by id',
        parameters: {
          type: 'object',
          properties: {
            orderId: { type: 'string' },
          },
          required: ['orderId'],
        },
      },
    },
  ],
});

console.log(imported.definition);
console.log(imported.warnings);
console.log(imported.unsupportedFeatures);

Imported tools use safe stub executors until you bind them to a real executor or a live bridge.

OpenAPI to tools

import { OpenAPIImporter } from '@veridex/agents-adapters';

const importer = new OpenAPIImporter({
  filterTags: ['orders'],
});

const { tools, warnings, apiInfo } = importer.importTools(openApiSpec);
console.log(apiInfo.title, tools.length, warnings);

Each operation becomes a Veridex tool contract with:

• safety class inferred from the HTTP method
• schema preserved from parameters and request body
• response schema preserved when possible
• OpenAPI metadata attached to the tool

Live Runtime Bridges

Adapters are for definitions. Bridges are for real execution.

OpenAI Agents SDK bridge

import { OpenAIRuntimeBridge } from '@veridex/agents-adapters';

const bridge = new OpenAIRuntimeBridge({
  name: 'existing-openai-agent',
  agent: existingOpenAIAgent,
  runner: {
    run: async (agent, input, options) => existingRunner.run(agent, input, options),
  },
});

const result = await bridge.invoke({
  prompt: 'Summarize the escalation policy',
});

console.log(result.output);

Use a bridge as a Veridex tool

const remoteTool = bridge.asTool({
  name: 'delegate_to_existing_agent',
  safetyClass: 'network',
});

Use a bridge as a handoff target

const handoffHandlers = {
  external_support_agent: bridge.asHandoffHandler(),
};

This is the recommended migration path when you want Veridex governance, approvals, traces, or budgets around an external runtime without a full rewrite on day one.

Migration Strategy

The best way to adopt this package is usually:

1. import or bridge the existing agent
2. run it through Veridex for tracing and policy
3. replace stub executors with real executors or tools
4. move sensitive or payment-related behavior into Veridex-native contracts over time

That keeps migration practical instead of forcing a big-bang rewrite.

What Gets Lost Across Frameworks

No framework adapter is perfect. Common gaps include:

• memory configuration
• hook semantics
• framework-specific workflow graphs
• native approval or governance behavior
• custom runtime middleware

The adapters preserve metadata and emit warnings so these gaps stay visible.

Related Packages

Package	Use it with
@veridex/agents	Required target runtime for imported tools and definitions
@veridex/agents-openclaw	Use when the external system is OpenClaw or Pi rather than OpenAI, LangGraph, or PydanticAI
@veridex/agents-control-plane	Add governance, approvals, and audit around bridged runtimes

Known Rough Edges

• Import/export support is necessarily lossy across frameworks with different abstractions.
• Live bridge coverage will keep improving as more real deployments are integrated.
• Some adapters intentionally produce stub executors so imports fail closed rather than pretending to be production-ready.

Contributions are especially welcome around migration examples, richer adapter fidelity, and more real deployment fixtures in tests.