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https://github.com/browser-use/browser-use.git
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Saurav Panda
b1d1794a93
bu-1-0 is redirected to bu-2-0 at the gateway, so requests naming it are served and billed as bu-2-0. The pricing table still carried the retired bu-1-0 rates, which under-reported cost by 3x on input and 3x on cached reads for anyone still passing that id. Aliases it to the bu-2-0 entry rather than duplicating the numbers, same as bu-latest, so the three cannot drift apart.
98 lines
3.6 KiB
Python
98 lines
3.6 KiB
Python
"""
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Custom model pricing for models not available in LiteLLM's pricing data.
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Prices are per token (not per 1M tokens).
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"""
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from typing import Any
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# Custom model pricing data
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# Format matches LiteLLM's model_prices_and_context_window.json structure
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CUSTOM_MODEL_PRICING: dict[str, dict[str, Any]] = {
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'bu-2-0': {
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'input_cost_per_token': 0.60 / 1_000_000, # $0.60 per 1M tokens
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'output_cost_per_token': 3.50 / 1_000_000, # $3.50 per 1M tokens
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'cache_read_input_token_cost': 0.06 / 1_000_000, # $0.06 per 1M tokens
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'cache_creation_input_token_cost': None, # Not specified
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'max_tokens': None, # Not specified
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'max_input_tokens': None, # Not specified
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'max_output_tokens': None, # Not specified
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},
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'bu-2-0-mini-preview': {
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'input_cost_per_token': 0.15 / 1_000_000, # $0.15 per 1M tokens
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'output_cost_per_token': 1.50 / 1_000_000, # $1.50 per 1M tokens
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# No cache discount on this model: cached reads bill at the input rate.
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'cache_read_input_token_cost': 0.15 / 1_000_000, # $0.15 per 1M tokens
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'cache_creation_input_token_cost': None, # Not specified
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'max_tokens': None, # Not specified
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'max_input_tokens': None, # Not specified
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'max_output_tokens': None, # Not specified
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},
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'claude-sonnet-4-6': {
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'input_cost_per_token': 3.00 / 1_000_000,
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'output_cost_per_token': 15.00 / 1_000_000,
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'cache_read_input_token_cost': 0.30 / 1_000_000,
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'cache_creation_input_token_cost': 3.75 / 1_000_000,
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'cache_creation_1h_input_token_cost': 6.00 / 1_000_000,
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'max_tokens': None,
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'max_input_tokens': None,
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'max_output_tokens': None,
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},
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'anthropic/claude-sonnet-4.6': {
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'input_cost_per_token': 3.00 / 1_000_000,
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'output_cost_per_token': 15.00 / 1_000_000,
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'cache_read_input_token_cost': 0.30 / 1_000_000,
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'cache_creation_input_token_cost': 3.75 / 1_000_000,
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'cache_creation_1h_input_token_cost': 6.00 / 1_000_000,
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'max_tokens': None,
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'max_input_tokens': None,
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'max_output_tokens': None,
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},
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'claude-opus-4-6': {
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'input_cost_per_token': 5.00 / 1_000_000,
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'output_cost_per_token': 25.00 / 1_000_000,
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'cache_read_input_token_cost': 0.50 / 1_000_000,
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'cache_creation_input_token_cost': 6.25 / 1_000_000,
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'cache_creation_1h_input_token_cost': 10.00 / 1_000_000,
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'max_tokens': None,
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'max_input_tokens': None,
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'max_output_tokens': None,
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},
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'anthropic/claude-opus-4.6': {
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'input_cost_per_token': 5.00 / 1_000_000,
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'output_cost_per_token': 25.00 / 1_000_000,
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'cache_read_input_token_cost': 0.50 / 1_000_000,
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'cache_creation_input_token_cost': 6.25 / 1_000_000,
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'cache_creation_1h_input_token_cost': 10.00 / 1_000_000,
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'max_tokens': None,
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'max_input_tokens': None,
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'max_output_tokens': None,
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},
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'claude-fable-5': {
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'input_cost_per_token': 10.00 / 1_000_000,
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'output_cost_per_token': 50.00 / 1_000_000,
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'cache_read_input_token_cost': 1.00 / 1_000_000,
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'cache_creation_input_token_cost': 12.50 / 1_000_000,
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'cache_creation_1h_input_token_cost': 20.00 / 1_000_000,
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'max_tokens': 1_000_000,
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'max_input_tokens': 1_000_000,
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'max_output_tokens': 128_000,
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},
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'anthropic/claude-fable-5': {
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'input_cost_per_token': 10.00 / 1_000_000,
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'output_cost_per_token': 50.00 / 1_000_000,
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'cache_read_input_token_cost': 1.00 / 1_000_000,
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'cache_creation_input_token_cost': 12.50 / 1_000_000,
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'cache_creation_1h_input_token_cost': 20.00 / 1_000_000,
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'max_tokens': 1_000_000,
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'max_input_tokens': 1_000_000,
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'max_output_tokens': 128_000,
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},
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}
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CUSTOM_MODEL_PRICING['bu-latest'] = CUSTOM_MODEL_PRICING['bu-2-0']
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# bu-1-0 is redirected to bu-2-0 at the gateway, so it bills at bu-2-0 rates.
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CUSTOM_MODEL_PRICING['bu-1-0'] = CUSTOM_MODEL_PRICING['bu-2-0']
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CUSTOM_MODEL_PRICING['smart'] = CUSTOM_MODEL_PRICING['bu-2-0']
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