evmquery in Any AI Agent Framework: The Complete Integration Matrix

Every agent framework runs into the same wall eventually: a user asks about a live USDC balance, a Chainlink price, or an Aave health factor, and none of that was in the training data. The fix is the same no matter which framework you’re in, one tool function that POSTs a chain, a contract map, and a CEL expression to evmquery, and gets back a decoded, typed value. However you build agents, evmquery is a tool call away.

This page is the single reference for all 21 frameworks we’ve wired evmquery into. The 6 most-searched get a full deep-dive post, with three live recipes and copy-pasteable agent code. The other 15 get the shortest useful version here: the install command and the tool-registration pattern below. No per-framework walkthroughs on this page, that’s what the flagship posts are for.

The matrix

Install command per framework:

Framework	Install
Agno	pip install agno anthropic requests
AutoGen / AG2	pip install ag2 requests
Azure AI Foundry	pip install azure-ai-projects azure-ai-agents azure-identity requests
BeeAI	pip install beeai-framework requests
Claude Agent SDK	pip install claude-agent-sdk (or npm install @anthropic-ai/claude-agent-sdk)
CrewAI	pip install crewai requests
DSPy	pip install dspy requests
ElizaOS	elizaos create --type plugin plugin-evmquery
Genkit	npm install genkit @genkit-ai/google-genai zod
Google ADK	pip install google-adk requests python-dotenv
Haystack	pip install haystack-ai anthropic-haystack requests
LangChain	pip install langchain-core langchain-anthropic langgraph requests
LangGraph	pip install langgraph langchain-core langchain-anthropic requests
LlamaIndex	pip install llama-index-core llama-index-llms-anthropic requests
Mastra	npm install @mastra/core zod
OpenAI Agents SDK	pip install openai-agents requests
Pydantic AI	pip install pydantic-ai requests
Semantic Kernel	pip install semantic-kernel requests
smolagents	pip install smolagents requests
Spring AI	org.springframework.ai:spring-ai-starter-model-anthropic (Maven/Gradle)
Vercel AI SDK	npm install ai @ai-sdk/anthropic zod

Tool-registration pattern and full guide, same order:

• Agno — Plain function passed to Agent(tools=[fn]), no decorator needed. Agno docs
• AutoGen / AG2 — autogen.register_function(fn, caller=assistant, executor=user_proxy, ...). AG2 docs
• Azure AI Foundry — FunctionTool(functions={fn}). Azure AI Foundry docs
• BeeAI — @tool decorator from beeai_framework.tools. BeeAI framework docs
• Claude Agent SDK — Native MCP, mcp_servers config plus allowed_tools, no wrapper function. Claude Agent SDK docs
• CrewAI — Subclass BaseTool (or @tool for quick one-offs). CrewAI: EVM blockchain tool
• DSPy — Plain function passed to dspy.ReAct(signature, tools=[fn]). DSPy docs
• ElizaOS — Custom Action object registered on a plugin. ElizaOS docs
• Genkit — ai.defineTool(meta, fn) with a Zod input/output schema. Genkit docs
• Google ADK — Plain function passed to Agent(tools=[...]). Google ADK docs
• Haystack — @tool decorator from haystack.tools, Annotated param descriptions. Haystack docs
• LangChain — @tool decorator from langchain_core.tools. LangChain: EVM blockchain tool
• LangGraph — @tool decorator plus create_react_agent from langgraph.prebuilt. LangGraph: EVM blockchain tool
• LlamaIndex — FunctionTool.from_defaults(fn). LlamaIndex docs
• Mastra — createTool({ ... }) with a Zod schema. Mastra docs
• OpenAI Agents SDK — @function_tool decorator. OpenAI Agents SDK: EVM blockchain tool
• Pydantic AI — @agent.tool_plain decorator. Pydantic AI: EVM blockchain tool
• Semantic Kernel — @kernel_function method on a plugin class. Semantic Kernel docs
• smolagents — Subclass Tool, implement forward(). smolagents docs
• Spring AI — @Tool-annotated service method. Spring AI docs
• Vercel AI SDK — tool({ ... }) passed to streamText(). Vercel AI SDK: EVM blockchain tool

Every framework hits the same REST endpoint with the same request shape underneath: a chain identifier, a schema.contracts map of short names to { "address": "0x..." }, and a CEL expression that names those contracts as variables. What differs is only how each framework wraps that call so its model can invoke it.

Next steps

• evmquery for AI agent builders — the full integration surface for agent-facing onchain reads, MCP and REST side by side
• LangChain: build a custom EVM blockchain tool
• LangGraph: build an EVM blockchain tool
• CrewAI: build an EVM blockchain tool
• Vercel AI SDK: add a live EVM blockchain tool
• OpenAI Agents SDK: wire in an EVM blockchain tool
• Pydantic AI: build an EVM blockchain tool