cleanup

Author: dixitaniket

CLAUDE.md

@@ -99,7 +99,7 @@ make chat-tool
 - **Dual Authentication**: Model Hub (email/password) + blockchain (private key)
 - **x402 Payments**: Streamed micropayment protocol for LLM inference
 - **Digital Twins**: Chat integration with twin.fun personas
-- **Dual Chain**: Base Sepolia (LLM) + OpenGradient testnet (Alpha on-chain inference)
+- **Dual Chain**: Base mainnet (LLM) + OpenGradient testnet (Alpha on-chain inference)
 
 ## Configuration
 

README.md

@@ -52,10 +52,9 @@ For current network RPC endpoints, contract addresses, and deployment informatio
 
 Before using the SDK, you will need:
 
-1. **Private Key**: An Ethereum-compatible wallet private key funded with **Base Sepolia OPG tokens** for x402 LLM payments
-2. **Test Tokens**: Obtain free test tokens from the [OpenGradient Faucet](https://faucet.opengradient.ai) for testnet LLM inference
-3. **Alpha Testnet Key** (Optional): A private key funded with **OpenGradient testnet gas tokens** for Alpha Testnet on-chain inference (can be the same or a different key)
-4. **Model Hub Account** (Optional): Required only for model uploads. Register at [hub.opengradient.ai/signup](https://hub.opengradient.ai/signup)
+1. **Private Key**: An Ethereum-compatible wallet private key funded with **Base OPG tokens** for x402 LLM payments
+2. **Alpha Testnet Key** (Optional): A private key funded with **OpenGradient testnet gas tokens** for Alpha Testnet on-chain inference (can be the same or a different key)
+3. **Model Hub Account** (Optional): Required only for model uploads. Register at [hub.opengradient.ai/signup](https://hub.opengradient.ai/signup)
 
 ### Configuration
 
@@ -87,7 +86,7 @@ The SDK provides separate clients for each service. Create only the ones you nee
 import os
 import opengradient as og
 
-# LLM inference — settles via x402 on Base Sepolia using OPG tokens
+# LLM inference — settles via x402 on Base using OPG tokens
 llm = og.LLM(private_key=os.environ.get("OG_PRIVATE_KEY"))
 
 # Alpha Testnet — on-chain inference on the OpenGradient network using testnet gas tokens

docs/CLAUDE_SDK_USERS.md

@@ -40,7 +40,7 @@ print(result.chat_output["content"])
 Each service has its own client class:
 
 ```python
-# LLM inference (Base Sepolia OPG tokens for x402 payments)
+# LLM inference (Base OPG tokens for x402 payments)
 llm = og.LLM(private_key="0x...")
 
 # Connect directly to a known TEE IP instead of using the on-chain registry.

docs/opengradient/client/index.md

@@ -10,7 +10,7 @@ OpenGradient Client -- service modules for the SDK.
 
 ## Modules
 
-- **[llm](./llm)** -- LLM chat and text completion with TEE-verified execution and x402 payment settlement (Base Sepolia OPG tokens)
+- **[llm](./llm)** -- LLM chat and text completion with TEE-verified execution and x402 payment settlement (Base OPG tokens)
 - **[model_hub](./model_hub)** -- Model repository management: create, version, and upload ML models
 - **[alpha](./alpha)** -- Alpha Testnet features: on-chain ONNX model inference (VANILLA, TEE, ZKML modes), workflow deployment, and scheduled ML model execution (OpenGradient testnet gas tokens)
 - **[twins](./twins)** -- Digital twins chat via OpenGradient verifiable inference
@@ -22,7 +22,7 @@ OpenGradient Client -- service modules for the SDK.
 ```python
 import opengradient as og
 
-# LLM inference (Base Sepolia OPG tokens)
+# LLM inference (Base OPG tokens)
 llm = og.LLM(private_key="0x...")
 llm.ensure_opg_approval(min_allowance=5)
 result = await llm.chat(model=og.TEE_LLM.CLAUDE_HAIKU_4_5, messages=[...])

docs/opengradient/client/llm.md

@@ -231,11 +231,11 @@ Permit2ApprovalResult: Contains ``allowance_before``,
 
 ### Automatic Endpoint Discovery (Production)
 
-By default, `LLM()` constructor automatically discovers active TEE endpoints from the on-chain TEE registry using the `rpc_url` parameter (defaults to the Base Sepolia testnet).
+By default, `LLM()` constructor automatically discovers active TEE endpoints from the on-chain TEE registry using the `rpc_url` parameter (defaults to the OpenGradient devnet).
 
 **Key Points:**
 - The TEE endpoint is **dynamically discovered** from the registry
-- x402 payments are always settled on **Base Sepolia**, regardless of which TEE endpoint serves your request
+- x402 payments are always settled on **Base**, regardless of which TEE endpoint serves your request
 - This is the recommended approach for production use
 
 **Example:**
@@ -250,7 +250,7 @@ For development, testing, or self-hosted TEE servers, use `LLM.from_url()` with
 
 **Key Points:**
 - TLS certificate verification is disabled (suitable for self-signed certs)
-- x402 payment settlement still occurs on Base Sepolia
+- x402 payment settlement still occurs on Base
 - Intended for non-production environments only
 
 **Example:**
@@ -264,5 +264,5 @@ llm = og.LLM.from_url(
 
 ### Important: x402 Payment Settlement
 
-Regardless of which TEE endpoint serves your inference request, **x402 payment settlement always occurs on Base Sepolia blockchain**. This ensures all payments are recorded on-chain for auditability and ensures consistent settlement across all TEE providers.
+Regardless of which TEE endpoint serves your inference request, **x402 payment settlement always occurs on Base blockchain**. This ensures all payments are recorded on-chain for auditability and ensures consistent settlement across all TEE providers.
 

docs/opengradient/index.md

@@ -19,7 +19,7 @@ inference was performed correctly.
 
 The SDK operates across two chains with separate private keys:
 
-- **[llm](./client/llm)** (``og.LLM``) -- LLM chat and completion with TEE-verified execution. Pays via x402 on **Base Sepolia** (requires OPG tokens).
+- **[llm](./client/llm)** (``og.LLM``) -- LLM chat and completion with TEE-verified execution. Pays via x402 on **Base** (requires OPG tokens).
 - **[alpha](./client/alpha)** (``og.Alpha``) -- On-chain ONNX model inference with VANILLA, TEE, or ZKML verification. Pays gas on the **OpenGradient alpha testnet**.
 - **[model_hub](./client/model_hub)** (``og.ModelHub``) -- Model repository management: create, version, and upload ML models. Requires email/password auth.
 - **[twins](./client/twins)** (``og.Twins``) -- Digital twins chat via verifiable inference. Requires a twins API key.

examples/README.md

@@ -8,7 +8,7 @@ Before running any examples, ensure you have:
 
 1. **Installed the SDK**: `pip install opengradient`
 2. **Set up your credentials**: Configure your OpenGradient account using environment variables:
-   - `OG_PRIVATE_KEY`: Private key funded with **Base Sepolia OPG tokens** for x402 LLM payments (can be obtained from our [faucet](https://faucet.opengradient.ai)). Also used for Alpha Testnet on-chain inference (requires **OpenGradient testnet gas tokens**).
+   - `OG_PRIVATE_KEY`: Private key funded with **Base OPG tokens** for x402 LLM payments.
    - `OG_MODEL_HUB_EMAIL`: (Optional) Your Model Hub email for model uploads
    - `OG_MODEL_HUB_PASSWORD`: (Optional) Your Model Hub password for model uploads
 
@@ -140,7 +140,7 @@ Each sub-client is created independently with the credentials it needs:
 import os
 import opengradient as og
 
-# LLM inference (Base Sepolia OPG tokens for x402 payments)
+# LLM inference (Base OPG tokens for x402 payments)
 llm = og.LLM(private_key=os.environ.get("OG_PRIVATE_KEY"))
 
 # On-chain model inference (OpenGradient testnet gas tokens)

integrationtest/README.md

@@ -6,12 +6,12 @@ End-to-end tests that exercise the OpenGradient SDK against live services.
 
 ### LLM (`llm/`)
 
-Tests LLM chat and streaming chat via the x402 payment flow on Base Sepolia.
+Tests LLM chat and streaming chat via the x402 payment flow on Base.
 
 Each run creates a **fresh Ethereum account**, funds it with ETH (for gas) and OPG tokens from a funder wallet, approves Permit2, and then runs chat requests against a TEE-verified model.
 
 **Requirements:**
-- `PRIVATE_KEY` env var — private key of a funded wallet on Base Sepolia that holds OPG tokens.
+- `PRIVATE_KEY` env var — private key of a funded wallet on Base that holds OPG tokens.
 
 ```bash
 make llm_integrationtest

integrationtest/llm/test_llm_chat.py

@@ -6,7 +6,7 @@
 from web3 import Web3
 
 import opengradient as og
-from opengradient.client.opg_token import BASE_OPG_ADDRESS, BASE_SEPOLIA_RPC
+from opengradient.client.opg_token import BASE_OPG_ADDRESS, BASE_MAINNET_RPC
 
 # Minimal ERC20 ABI for transfer
 ERC20_TRANSFER_ABI = [
@@ -37,7 +37,7 @@
 
 def _fund_account(funder_key: str, recipient_address: str):
     """Transfer ETH (for gas) and OPG tokens from the funder to the recipient."""
-    w3 = Web3(Web3.HTTPProvider(BASE_SEPOLIA_RPC))
+    w3 = Web3(Web3.HTTPProvider(BASE_MAINNET_RPC))
     funder = Account.from_key(funder_key)
     funder_addr = Web3.to_checksum_address(funder.address)
     recipient = Web3.to_checksum_address(recipient_address)

src/opengradient/__init__.py

@@ -10,7 +10,7 @@
 
 The SDK operates across two chains with separate private keys:
 
-- **`opengradient.client.llm`** (``og.LLM``) -- LLM chat and completion with TEE-verified execution. Pays via x402 on **Base Sepolia** (requires OPG tokens).
+- **`opengradient.client.llm`** (``og.LLM``) -- LLM chat and completion with TEE-verified execution. Pays via x402 on **Base** (requires OPG tokens).
 - **`opengradient.client.alpha`** (``og.Alpha``) -- On-chain ONNX model inference with VANILLA, TEE, or ZKML verification. Pays gas on the **OpenGradient alpha testnet**.
 - **`opengradient.client.model_hub`** (``og.ModelHub``) -- Model repository management: create, version, and upload ML models. Requires email/password auth.
 - **`opengradient.client.twins`** (``og.Twins``) -- Digital twins chat via verifiable inference. Requires a twins API key.