langchain-vdm-nexus 0.1.0

LangChain integration for VDM Nexus — signed-inference ChatModel that pays per call via x402 on Solana.

langchain-vdm-nexus

LangChain integration for VDM Nexus — signed-inference ChatModel that pays per call via x402 on Solana. No API keys, just an Ed25519 keypair.

ChatNexus is a drop-in subclass of langchain_core.language_models.chat_models.BaseChatModel. It runs the x402 v2 handshake transparently (probe → 402 → sign SPL USDC transfer → paid retry) and exposes the resulting Signed Inference Receipt and on-chain payment metadata on every response.

Install

pip install langchain-vdm-nexus

Two runtime deps: vdm-nexus (≥ 0.2.0) and langchain-core (≥ 0.3).

Use

import os
from langchain_vdm_nexus import ChatNexus
from langchain_core.messages import HumanMessage

llm = ChatNexus(
    secret_key=os.environ["AGENT_SECRET_KEY"],   # base58 64-byte Ed25519
    endpoint="https://nexus.vdmnexus.com/api/v1",
    model="openai/gpt-4o-mini",
    network="solana:mainnet",                    # or "solana:devnet"
)

reply = llm.invoke([HumanMessage(content="Why Ed25519?")])
print(reply.content)

A real mainnet receipt produced by this exact call shape: vdmnexus.com/r/c9710ea7-9e1f-46ee-aaa9-903a536ae12e.

Receipt access

The Signed Inference Receipt (SIR v2) and the x402 payment response are attached to every AIMessage:

reply = llm.invoke([HumanMessage(content="hello")])

receipt = reply.response_metadata["nexus_receipt"]
print("tx:        ", receipt["payment"]["tx_signature"])
print("paid:      ", receipt["payment"]["amount_usdc"], "USDC")
print("model:     ", receipt["model"])
print("hash:      ", receipt["response_hash"])

payment = reply.response_metadata["nexus_payment"]
print("settled at:", payment["txSignature"], "on", payment["network"])

Each receipt is cryptographically signed by the Nexus operator key and can be verified independently — see verify.vdmnexus.com or the @vdm-nexus/x402 TS verifier.

Async

ChatNexus implements both _generate and _agenerate. Use ainvoke, abatch, astream (single-chunk; see Streaming below) as normal:

reply = await llm.ainvoke([HumanMessage(content="hi")])

Compatibility

LangChain's BaseChatModel is the substrate that LangGraph nodes and CrewAI agents call into. ChatNexus works as-is in:

• LangChain chains (llm | prompt | parser).
• LangGraph — pass the model into any node that accepts a chat model. Receipts surface on the node's output state via last_message.response_metadata["nexus_receipt"].
• CrewAI — use as the agent's llm. Every tool-call and reasoning step routes through Nexus and emits a receipt.

Native LangGraph and CrewAI sub-packages may follow if there's adoption demand, but neither needs one — ChatNexus is sufficient.

Streaming

Not implemented in v0.1.0. The upstream /chat/completions endpoint does not emit SSE chunks today. Calls into stream / astream will fall through to the default BaseChatModel behaviour: a single chunk containing the full response. Native streaming will arrive once the Nexus rail supports it.

How payment works

Each invoke runs the x402 v2 two-roundtrip handshake:

1. POST /chat/completions — server replies 402 with an X-Payment-Required challenge declaring the price (USDC) and recipient.
2. Build a partially-signed SPL TransferChecked transaction (via solders) for that price, signed by your Ed25519 keypair.
3. POST again with X-Payment: <base64> — the server's facilitator co-signs as fee payer, broadcasts to Solana, runs inference, and returns the OpenAI body plus X-Nexus-Receipt and X-Payment-Response headers.

The agent's wallet is yours; Nexus never holds private keys.

License

MIT. See LICENSE.

Repo

Source lives in the VDM Nexus monorepo under packages/sdk-python-langchain.