agentvis 0.1.5

Framework-agnostic reasoning trace visualization tool for AI agents.

agentvis

agentvis visualizes an agent’s reasoning trace, giving you clear insight into why the agent chose a particular path or triggered a specific tool call.

By exposing the influence flow behind each decision, it transforms opaque agent behavior into something understandable and actionable — so you can confidently refine and improve your prompts, which is often the hardest part of building reliable agents. 🧠✨

agentvis reasoning visualization example

Installation

Install core:

pip install agentvis

With LangChain support:

pip install agentvis[langchain]

How to generate an agent reasoning graph

1. Define your LangChain / LangGraph agent

from langchain_tavily import TavilySearch
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.agents import create_agent
from langchain.messages import HumanMessage
import os

os.environ["TAVILY_API_KEY"] = "<your-tavily-api-key>"

tavily_search = TavilySearch(
    max_results=5,
    search_depth="basic",
)

llm = ChatGoogleGenerativeAI(
    model="gemini-2.5-flash-lite",
    temperature=0.7,
    google_api_key="<your-google-api-key>",
)

agent = create_agent(
    llm,
    [tavily_search],
    system_prompt=(
        "You are a helpful web search agent. "
        "Use the Tavily tool when you need fresh information from the web."
    ),
)

result = agent.invoke(
    {"messages": [HumanMessage("Top warm countries and weather of each.")]}
)
messages = result["messages"]

2. Build the reasoning graph with agentvis and get a shareable link in exchange of messages produced by agent

from agentvis.framework.langchain import LangChainAdapter
from agentvis.core.export import ExportFactory
from agentvis.core import AgentVis

graph = AgentVis.build_agent_graph(messages=LangChainAdapter().convert(messages))
link = ExportFactory.export_graph(graph=graph, export_strategy="link")  # export_strategy = "link" | "json"
print(link)

Open the printed link in your browser to inspect the full reasoning trace of your agent.

License

This project is licensed under the Apache License 2.0.