Connect model traffic
Configure a project key and provider access for the agent.
NEOSYNTROPY PROXY / EXISTING AGENTS
Bring your agents.
Connect their intelligence.
Route model requests through one OpenAI-compatible gateway. Keep your agent runtime, connect project credentials, and manage vendor access in NeoSyntropy.
Connect an agent ↗YOUR RUNTIMELangGraph · Agno
LangGraph · Agno
Custom agents
NEOSYNTROPY PROXYProject access
Project access
Provider configuration
MODEL LAYERYour configured
Your configured
model providers
CONNECT ONE AGENT FIRST
A familiar interface.
A shared gateway.
Use the LangGraph or Agno adapter, or point a compatible client at the chat completions endpoint. Only calls configured to use this gateway pass through NeoSyntropy.
POST /api/v1/chat/completionsLocal tools and application side effects stay in your runtime.
from neosyntropy.integrations.langgraph import (
NeoSyntropyChatModel,
)
llm = NeoSyntropyChatModel(
api_key="YOUR_PROJECT_API_KEY",
model="default",
)
# Use this model in your existing LangGraph agent.
reply = llm.invoke("Summarize the customer request.")
print(reply.content)THE PATH TO SPECIALIZED WORKFLOWS
Connect today.
Build toward conversion.
Agent-to-graph conversion is a planned direction. Complete workflow reconstruction requires execution traces beyond model traffic, including tools and application state.
Discover recurring work
Use model traffic and execution traces to identify repeatable tasks.
Propose an AI graph
Map suitable tasks to schema, routing, and reasoning nodes for review.
Evaluate and adopt
Test representative cases before moving approved work to the graph.