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Layer 4: Network Effects
Part of SOVEREIGN PYTHON LLM ENGINE
Explicit network effect handling with httpx.
All HTTP operations are async and auditable.
"""
from typing import AsyncIterator, Any
import httpx
import json
from datetime import datetime
from ..core.types import Temperature
# ==========================================
# HTTP Client
# ==========================================
class NetworkRuntime:
"""
Explicit network effect handler.
Wraps httpx with explicit timeouts and retry logic.
"""
def __init__(
self,
timeout: float = 60.0,
max_retries: int = 2,
follow_redirects: bool = True
):
"""
Initialize network runtime.
Args:
timeout: Request timeout in seconds
max_retries: Maximum retry attempts
follow_redirects: Follow HTTP redirects
"""
self.timeout = httpx.Timeout(timeout)
self.max_retries = max_retries
self.follow_redirects = follow_redirects
self.client = httpx.AsyncClient(
timeout=self.timeout,
follow_redirects=follow_redirects
)
async def get(
self,
url: str,
headers: dict[str, str] | None = None,
params: dict[str, Any] | None = None
) -> httpx.Response:
"""
HTTP GET request.
Args:
url: Request URL
headers: Optional headers
params: Optional query parameters
Returns:
HTTP response
Raises:
httpx.HTTPError: On request failure
"""
response = await self.client.get(url, headers=headers, params=params)
response.raise_for_status()
return response
async def post(
self,
url: str,
data: dict[str, Any] | None = None,
json_data: dict[str, Any] | None = None,
headers: dict[str, str] | None = None
) -> httpx.Response:
"""
HTTP POST request.
Args:
url: Request URL
data: Form data
json_data: JSON body
headers: Optional headers
Returns:
HTTP response
"""
response = await self.client.post(
url,
data=data,
json=json_data,
headers=headers
)
response.raise_for_status()
return response
async def post_json(
self,
url: str,
payload: dict[str, Any],
headers: dict[str, str] | None = None
) -> dict[str, Any]:
"""
POST JSON and parse JSON response.
Args:
url: Request URL
payload: JSON payload
headers: Optional headers
Returns:
Parsed JSON response
"""
response = await self.post(url, json_data=payload, headers=headers)
return response.json()
async def put(
self,
url: str,
data: dict[str, Any] | None = None,
json_data: dict[str, Any] | None = None,
headers: dict[str, str] | None = None
) -> httpx.Response:
"""HTTP PUT request"""
response = await self.client.put(
url,
data=data,
json=json_data,
headers=headers
)
response.raise_for_status()
return response
async def delete(
self,
url: str,
headers: dict[str, str] | None = None
) -> httpx.Response:
"""HTTP DELETE request"""
response = await self.client.delete(url, headers=headers)
response.raise_for_status()
return response
async def stream_get(
self,
url: str,
headers: dict[str, str] | None = None
) -> AsyncIterator[bytes]:
"""
Stream GET response.
Args:
url: Request URL
headers: Optional headers
Yields:
Response chunks
"""
async with self.client.stream('GET', url, headers=headers) as response:
response.raise_for_status()
async for chunk in response.aiter_bytes():
yield chunk
async def stream_sse(
self,
url: str,
payload: dict[str, Any],
headers: dict[str, str] | None = None
) -> AsyncIterator[dict[str, Any]]:
"""
Stream Server-Sent Events (SSE).
Args:
url: Request URL
payload: JSON payload
headers: Optional headers
Yields:
Parsed SSE events
"""
async with self.client.stream('POST', url, json=payload, headers=headers) as response:
response.raise_for_status()
async for line in response.aiter_lines():
# SSE format: "data: {...}"
if line.startswith('data: '):
data_str = line[6:] # Remove "data: " prefix
try:
yield json.loads(data_str)
except json.JSONDecodeError:
continue
async def close(self) -> None:
"""Close HTTP client"""
await self.client.aclose()
async def __aenter__(self):
"""Context manager entry"""
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
"""Context manager exit"""
await self.close()
# ==========================================
# Retry Logic
# ==========================================
class RetryableHTTPClient:
"""HTTP client with automatic retry logic"""
def __init__(
self,
network: NetworkRuntime,
max_retries: int = 2,
backoff_factor: float = 0.5,
retry_statuses: set[int] | None = None
):
"""
Initialize retryable client.
Args:
network: Base network runtime
max_retries: Maximum retry attempts
backoff_factor: Backoff multiplier (seconds)
retry_statuses: HTTP statuses to retry (None = 408, 429, 5xx)
"""
self.network = network
self.max_retries = max_retries
self.backoff_factor = backoff_factor
if retry_statuses is None:
self.retry_statuses = {408, 429, 500, 502, 503, 504}
else:
self.retry_statuses = retry_statuses
async def post_with_retry(
self,
url: str,
payload: dict[str, Any],
headers: dict[str, str] | None = None
) -> dict[str, Any]:
"""
POST with automatic retry.
Args:
url: Request URL
payload: JSON payload
headers: Optional headers
Returns:
Parsed JSON response
Raises:
httpx.HTTPError: After all retries exhausted
"""
import asyncio
last_error = None
for attempt in range(self.max_retries + 1):
try:
return await self.network.post_json(url, payload, headers)
except httpx.HTTPStatusError as e:
last_error = e
# Check if status is retryable
if e.response.status_code not in self.retry_statuses:
raise
# Don't retry on last attempt
if attempt == self.max_retries:
raise
# Exponential backoff
wait_time = self.backoff_factor * (2 ** attempt)
await asyncio.sleep(wait_time)
except (httpx.ConnectError, httpx.TimeoutException) as e:
last_error = e
# Don't retry on last attempt
if attempt == self.max_retries:
raise
# Exponential backoff
wait_time = self.backoff_factor * (2 ** attempt)
await asyncio.sleep(wait_time)
# Should not reach here, but just in case
raise last_error
# ==========================================
# LLM API Clients
# ==========================================
class LlamaAPIClient:
"""
Client for Llama API (from llama-api-python analysis).
"""
def __init__(
self,
api_key: str,
base_url: str = "https://api.llama.com/v1",
network: NetworkRuntime | None = None
):
"""
Initialize Llama API client.
Args:
api_key: API key
base_url: Base URL for API
network: Network runtime (creates if None)
"""
self.api_key = api_key
self.base_url = base_url
if network is None:
self.network = NetworkRuntime()
else:
self.network = network
def _auth_headers(self) -> dict[str, str]:
"""Get authorization headers"""
return {"Authorization": f"Bearer {self.api_key}"}
async def generate(
self,
messages: list[dict[str, str]],
model: str = "Llama-3.3-70B-Instruct",
temperature: float = 0.0,
max_tokens: int | None = None
) -> str:
"""
Generate completion.
Args:
messages: Conversation messages
model: Model ID
temperature: Sampling temperature
max_tokens: Max tokens to generate
Returns:
Generated text
"""
url = f"{self.base_url}/chat/completions"
payload: dict[str, Any] = {
"messages": messages,
"model": model,
"temperature": temperature
}
if max_tokens is not None:
payload["max_completion_tokens"] = max_tokens
headers = self._auth_headers()
response = await self.network.post_json(url, payload, headers)
return response["completion_message"]["content"]
async def generate_stream(
self,
messages: list[dict[str, str]],
model: str = "Llama-3.3-70B-Instruct",
temperature: float = 0.0
) -> AsyncIterator[str]:
"""
Generate completion with streaming.
Yields:
Text chunks
"""
url = f"{self.base_url}/chat/completions"
payload = {
"messages": messages,
"model": model,
"temperature": temperature,
"stream": True
}
headers = self._auth_headers()
async for event in self.network.stream_sse(url, payload, headers):
if "event" in event and "delta" in event["event"]:
delta = event["event"]["delta"]
if "text" in delta:
yield delta["text"]
# ==========================================
# Generic LLM Client
# ==========================================
class GenericLLMClient:
"""
Generic LLM client (OpenAI-compatible API).
"""
def __init__(
self,
api_key: str,
base_url: str,
network: NetworkRuntime | None = None
):
self.api_key = api_key
self.base_url = base_url
if network is None:
self.network = NetworkRuntime()
else:
self.network = network
def _auth_headers(self) -> dict[str, str]:
return {"Authorization": f"Bearer {self.api_key}"}
async def generate(
self,
messages: list[dict[str, str]],
model: str,
temperature: float = 0.0,
max_tokens: int | None = None
) -> str:
"""OpenAI-compatible chat completion"""
url = f"{self.base_url}/chat/completions"
payload: dict[str, Any] = {
"messages": messages,
"model": model,
"temperature": temperature
}
if max_tokens is not None:
payload["max_tokens"] = max_tokens
headers = self._auth_headers()
response = await self.network.post_json(url, payload, headers)
return response["choices"][0]["message"]["content"]
# ==========================================
# Rate Limiter
# ==========================================
class RateLimiter:
"""
Token bucket rate limiter for API requests.
"""
def __init__(self, requests_per_second: float):
"""
Initialize rate limiter.
Args:
requests_per_second: Maximum requests per second
"""
self.requests_per_second = requests_per_second
self.interval = 1.0 / requests_per_second
self.last_request_time: float | None = None
async def acquire(self) -> None:
"""
Acquire rate limit token (wait if necessary).
"""
import asyncio
import time
now = time.time()
if self.last_request_time is not None:
elapsed = now - self.last_request_time
if elapsed < self.interval:
wait_time = self.interval - elapsed
await asyncio.sleep(wait_time)
self.last_request_time = time.time()
# ==========================================
# Request/Response Logging
# ==========================================
class LoggedNetworkRuntime:
"""
Network runtime with request/response logging.
"""
def __init__(self, network: NetworkRuntime, log_path: str | None = None):
"""
Initialize logged runtime.
Args:
network: Base network runtime
log_path: Path to log file (None = no file logging)
"""
self.network = network
self.log_path = log_path
self.requests_log: list[dict[str, Any]] = []
async def post_json(
self,
url: str,
payload: dict[str, Any],
headers: dict[str, str] | None = None
) -> dict[str, Any]:
"""POST with logging"""
start_time = datetime.now()
try:
response = await self.network.post_json(url, payload, headers)
elapsed = (datetime.now() - start_time).total_seconds()
# Log request/response
log_entry = {
"timestamp": start_time.isoformat(),
"method": "POST",
"url": url,
"payload": payload,
"response": response,
"elapsed_seconds": elapsed,
"success": True
}
self.requests_log.append(log_entry)
return response
except Exception as e:
elapsed = (datetime.now() - start_time).total_seconds()
# Log error
log_entry = {
"timestamp": start_time.isoformat(),
"method": "POST",
"url": url,
"payload": payload,
"error": str(e),
"elapsed_seconds": elapsed,
"success": False
}
self.requests_log.append(log_entry)
raise
def get_logs(self) -> list[dict[str, Any]]:
"""Get all logged requests"""
return self.requests_log
async def save_logs(self) -> None:
"""Save logs to file"""
if self.log_path is None:
return
import aiofiles
from pathlib import Path
log_path = Path(self.log_path)
log_path.parent.mkdir(parents=True, exist_ok=True)
async with aiofiles.open(log_path, 'w') as f:
for entry in self.requests_log:
await f.write(json.dumps(entry) + '\n')
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