og sdk dep updates (#131)

* dep updates

* dockerfile update

* dep updates

* dep updates

* sdk dep update

Author: dixitaniket

Dockerfile

@@ -6,7 +6,7 @@ WORKDIR /app
 
 # Install system dependencies
 RUN apt-get update && \
-    apt-get install -y --no-install-recommends gcc python3-dev curl && \
+    apt-get install -y --no-install-recommends gcc python3-dev curl git build-essential && \
     rm -rf /var/lib/apt/lists/*
 
 # Copy requirements first to leverage Docker cache

agent/agent_executors.py

@@ -1,110 +1,47 @@
 import os
-import httpx
-import logging
 
-from langchain_openai import ChatOpenAI
+import opengradient as og
 from langgraph.prebuilt import create_react_agent
-from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain_core.language_models.chat_models import BaseChatModel
 
 from agent.tools import create_investor_agent_toolkit, create_analytics_agent_toolkit
 from onchain.tokens.metadata import TokenMetadataRepo
 from server import config
-from web3 import Web3
-
-from x402v2 import x402Client as x402Clientv2
-from x402v2.http.clients import x402HttpxClient as x402HttpxClientv2
-from x402v2.mechanisms.evm import EthAccountSigner as EthAccountSignerv2
-from x402v2.mechanisms.evm.exact.register import (
-    register_exact_evm_client as register_exact_evm_clientv2,
-)
-from x402v2.mechanisms.evm.upto.register import (
-    register_upto_evm_client as register_upto_evm_clientv2,
-)
-
-logging.getLogger("x402.httpx").setLevel(logging.DEBUG)
-
-WEB3_CONFIG = Web3(Web3.HTTPProvider(config.OG_RPC_URL))
-WALLET_ACCOUNT = WEB3_CONFIG.eth.account.from_key(config.WALLET_PRIV_KEY)
-BASE_TESTNET_NETWORK = "eip155:84532"
-
-x402_client = x402Clientv2()
-register_exact_evm_clientv2(
-    x402_client,
-    EthAccountSignerv2(WALLET_ACCOUNT),
-    networks=[BASE_TESTNET_NETWORK],
-)
-register_upto_evm_clientv2(
-    x402_client,
-    EthAccountSignerv2(WALLET_ACCOUNT),
-    networks=[BASE_TESTNET_NETWORK],
-)
-
-
-TIMEOUT = httpx.Timeout(
-    timeout=90.0,
-    connect=15.0,
-    read=15.0,
-    write=30.0,
-    pool=10.0,
-)
-
-LIMITS = httpx.Limits(
-    max_keepalive_connections=100,
-    max_connections=500,
-    keepalive_expiry=60 * 20,  # 20 minutes
-)
 
 
 ##
 # OpenRouter LLM Configuration
 ##
 
-GOOGLE_GEMINI_25_PRO_MODEL = "gemini-2.5-pro"
-GOOGLE_GEMINI_25_FLASH_MODEL = "gemini-2.5-flash"
-GROK_MODEL = "x-ai/grok-2-1212"  # $2/M input tokens; $10/M output tokens
-
-x402_http_client = x402HttpxClientv2(
-    x402_client,
-    timeout=TIMEOUT,
-    limits=LIMITS,
-    http2=False,
-    follow_redirects=False,
-    verify=False,
-)
-
 # Select model based on configuration
-SUGGESTIONS_MODEL = GOOGLE_GEMINI_25_FLASH_MODEL
-REASONING_MODEL = GOOGLE_GEMINI_25_PRO_MODEL
+SUGGESTIONS_MODEL = og.TEE_LLM.GEMINI_2_5_FLASH
+REASONING_MODEL = og.TEE_LLM.GEMINI_2_5_PRO
+
+opengradient_client = og.LLM(
+    private_key=config.WALLET_PRIV_KEY,
+    rpc_url=config.OG_RPC_URL,
+)
 
 
 def create_suggestions_model() -> BaseChatModel:
-    return ChatOpenAI(
-        model=SUGGESTIONS_MODEL,
+    return og.agents.langchain_adapter(
+        client=opengradient_client,
+        model_cid=SUGGESTIONS_MODEL,
         temperature=0.3,
         max_tokens=1000,
-        api_key=config.DUMMY_X402_API_KEY,
-        http_async_client=x402_http_client,
-        stream_usage=True,
-        streaming=True,
-        base_url=config.LLM_SERVER_URL,
     )
 
 
 def create_investor_executor() -> any:
-    openai_model = ChatOpenAI(
-        model=REASONING_MODEL,
+    model = og.agents.langchain_adapter(
+        client=opengradient_client,
+        model_cid=REASONING_MODEL,
         temperature=0.1,
-        api_key=config.DUMMY_X402_API_KEY,
-        http_async_client=x402_http_client,
-        stream_usage=True,
-        streaming=True,
-        base_url=config.LLM_SERVER_URL,
         max_tokens=16384,
     )
 
     agent_executor = create_react_agent(
-        model=openai_model, tools=create_investor_agent_toolkit()
+        model=model, tools=create_investor_agent_toolkit()
     )
 
     return agent_executor
@@ -114,23 +51,19 @@ def create_analytics_executor(
     token_metadata_repo: TokenMetadataRepo,
     extra_tools: list = None,
 ) -> any:
-    openai_model = ChatOpenAI(
-        model=REASONING_MODEL,
+    model = og.agents.langchain_adapter(
+        client=opengradient_client,
+        model_cid=REASONING_MODEL,
         temperature=0.1,
         max_tokens=16384,
-        api_key=config.DUMMY_X402_API_KEY,
-        http_async_client=x402_http_client,
-        stream_usage=True,
-        streaming=True,
-        base_url=config.LLM_SERVER_URL,
     )
 
     tools = create_analytics_agent_toolkit(token_metadata_repo)
     if extra_tools:
         tools.extend(extra_tools)
 
     analytics_executor = create_react_agent(
-        model=openai_model,
+        model=model,
         tools=tools,
     )
 

requirements.txt

@@ -1,4 +1,3 @@
-opengradient>=0.4.11
 langgraph==0.5.3
 langchain-community==0.3.14
 fastapi>=0.110.0
@@ -27,8 +26,8 @@ aioboto3>=1.38.0
 async_lru>=2.0.0
 aiolimiter>=1.2.0
 pytest-asyncio>=0.21.0
-og-test-v2-x402==0.0.11.dev3
 eth-account>=0.13.4
 web3>=7.3.0
 cachetools>=6.2.4
-langchain-mcp-adapters==0.1.14
+langchain-mcp-adapters==0.1.14
+opengradient==0.9.5

server/config.py

@@ -3,8 +3,6 @@
 SKIP_TOKEN_AUTH_HEADER = os.getenv("SKIP_TOKEN_AUTH_HEADER")
 SKIP_TOKEN_AUTH_KEY = os.getenv("SKIP_TOKEN_AUTH_KEY")
 
-DUMMY_X402_API_KEY = os.getenv("DUMMY_X402_API_KEY", "dummy")
-LLM_SERVER_URL: str = os.getenv("LLM_SERVER_URL", "https://llm.opengradient.ai/v1")
 OG_RPC_URL: str = os.getenv("OG_RPC_URL", "https://ogevmdevnet.opengradient.ai")
 WALLET_PRIV_KEY: str = os.getenv("WALLET_PRIV_KEY")