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import os
import sys
sys.path.insert(0, os.path.abspath("../.."))
import litellm
import requests
from bs4 import BeautifulSoup
# URL of the AWS Bedrock Pricing page
PRICING_URL = "https://aws.amazon.com/bedrock/pricing/"
# List of providers to extract pricing for
PROVIDERS = ["ai21", "anthropic", "meta", "cohere", "mistral", "stability", "amazon"]
def extract_amazon_pricing(section):
"""
Extracts pricing data for Amazon-specific models.
Args:
section (Tag): The BeautifulSoup Tag object for the Amazon section.
Returns:
dict: Pricing data for Amazon models.
"""
tabs = section.find_all("li", class_="lb-tabs-trigger")
panels = section.find_all("li", class_="lb-tabs-content-item")
amazon_pricing = {}
for tab, panel in zip(tabs, panels):
model_name = tab.get_text(strip=True)
table = panel.find("table")
if not table:
amazon_pricing[model_name] = "Pricing table not found"
continue
# Parse the table
rows = table.find_all("tr")
headers = [header.get_text(strip=True) for header in rows[0].find_all("td")]
model_pricing = {}
for row in rows[1:]:
cols = row.find_all("td")
if len(cols) < 3:
continue # Skip rows with insufficient data
feature_name = cols[0].get_text(strip=True)
input_price = cols[1].get_text(strip=True)
output_price = cols[2].get_text(strip=True)
model_pricing[feature_name] = {
headers[1]: input_price,
headers[2]: output_price,
}
amazon_pricing[model_name] = model_pricing
return amazon_pricing
def get_bedrock_pricing(url, providers):
"""
Fetches and parses AWS Bedrock pricing for specified providers.
Args:
url (str): URL of the AWS Bedrock pricing page.
providers (list): List of providers to extract pricing for.
Returns:
dict: A dictionary containing pricing data for the providers.
"""
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.text, "html.parser")
pricing_data = {}
for provider in providers:
if provider == "amazon":
section = soup.find(
"li",
class_="lb-tabs-accordion-trigger",
text=lambda t: t and "Amazon" in t,
)
if not section:
pricing_data[provider] = "Amazon section not found"
continue
amazon_section = section.find_next("li", class_="lb-tabs-content-item")
if not amazon_section:
pricing_data[provider] = "Amazon models section not found"
continue
pricing_data[provider] = extract_amazon_pricing(amazon_section)
else:
# General logic for other providers
section = soup.find(
"h2", text=lambda t: t and provider.lower() in t.lower()
)
if not section:
pricing_data[provider] = "Provider section not found"
continue
table = section.find_next("table")
if not table:
pricing_data[provider] = "Pricing table not found"
continue
rows = table.find_all("tr")
headers = [header.get_text(strip=True) for header in rows[0].find_all("td")]
provider_pricing = {}
for row in rows[1:]:
cols = row.find_all("td")
if len(cols) < 3:
continue
model_name = cols[0].get_text(strip=True)
input_price = cols[1].get_text(strip=True)
output_price = cols[2].get_text(strip=True)
provider_pricing[model_name] = {
"Price per 1,000 input tokens": input_price,
"Price per 1,000 output tokens": output_price,
}
pricing_data[provider] = provider_pricing
return pricing_data
model_substring_map = {
"ai21": {"jurassic-2": "j2"},
"anthropic": {"claude-2-1": "claude-v2:1", "claude-2-0": "claude-v2"},
"meta": {"llama-2-chat-(13b)": "llama2-13b-chat"},
"cohere": {
"r+": "r-plus",
"embed-3-english": "embed-english-v3",
"embed-3-multilingual": "embed-multilingual-v3",
},
} # aliases used by bedrock in their real model name vs. pricing page
def _handle_meta_model_name(model_name: str) -> str:
# Check if it's a Llama 2 chat model
if "llama-2-chat-" in model_name.lower():
# Extract the size (e.g., 13b, 70b) using string manipulation
# Look for pattern between "chat-(" and ")"
import re
if match := re.search(r"chat-\((\d+b)\)", model_name.lower()):
size = match.group(1)
return f"meta.llama2-{size}-chat"
return model_name
def _handle_cohere_model_name(model_name: str) -> str:
if model_name.endswith("command-r"):
return "cohere.command-r-v1"
return model_name
def _create_bedrock_model_name(provider: str, model_name: str):
complete_model_name = f"{provider.lower()}.{model_name.replace(' ', '-').replace('.', '-').replace('*', '').lower()}"
for provider_key, map in model_substring_map.items():
if provider_key == provider:
for model_substring, replacement in map.items():
print(
f"model_substring: {model_substring}, replacement: {replacement}, received model_name: {model_name}"
)
if model_substring in complete_model_name:
print(f"model_name: {complete_model_name}")
complete_model_name = complete_model_name.replace(
model_substring, replacement
)
print(f"model_name: {complete_model_name}")
if provider == "meta":
complete_model_name = _handle_meta_model_name(complete_model_name)
if provider == "cohere":
complete_model_name = _handle_cohere_model_name(complete_model_name)
return complete_model_name
def _convert_str_to_float(price_str: str) -> float:
if "$" not in price_str:
return 0.0
return float(price_str.replace("$", ""))
def _check_if_model_name_in_pricing(
bedrock_model_name: str,
input_cost_per_1k_tokens: str,
output_cost_per_1k_tokens: str,
):
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")
for model, value in litellm.model_cost.items():
if model.startswith(bedrock_model_name):
input_cost_per_token = (
_convert_str_to_float(input_cost_per_1k_tokens) / 1000
)
output_cost_per_token = (
_convert_str_to_float(output_cost_per_1k_tokens) / 1000
)
assert round(value["input_cost_per_token"], 10) == round(
input_cost_per_token, 10
), f"Invalid input cost per token for {model} \n Bedrock pricing page name={bedrock_model_name} \n Got={value['input_cost_per_token']}, Expected={input_cost_per_token}"
assert round(value["output_cost_per_token"], 10) == round(
output_cost_per_token, 10
), f"Invalid output cost per token for {model} \n Bedrock pricing page name={bedrock_model_name} \n Got={value['output_cost_per_token']}, Expected={output_cost_per_token}"
return True
return False
if __name__ == "__main__":
try:
pricing = get_bedrock_pricing(PRICING_URL, PROVIDERS)
print("AWS Bedrock On-Demand Pricing:")
for provider, data in pricing.items():
print(f"\n{provider.capitalize()}:")
if isinstance(data, dict):
for model, details in data.items():
complete_model_name = _create_bedrock_model_name(provider, model)
print(f"details: {details}")
assert _check_if_model_name_in_pricing(
bedrock_model_name=complete_model_name,
input_cost_per_1k_tokens=details[
"Price per 1,000 input tokens"
],
output_cost_per_1k_tokens=details[
"Price per 1,000 output tokens"
],
), f"Model {complete_model_name} not found in litellm.model_cost"
print(f" {complete_model_name}:")
if isinstance(details, dict):
for detail, value in details.items():
print(f" {detail}: {value}")
else:
print(f" {details}")
else:
print(f" {data}")
except requests.RequestException as e:
print(f"Error fetching pricing data: {e}")
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