forked from phoenix/litellm-mirror
d57be47b0f
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
104 lines
2.8 KiB
Python
104 lines
2.8 KiB
Python
#### What this does ####
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# On success + failure, log events to aispend.io
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import datetime
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import os
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import traceback
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import dotenv
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import requests # type: ignore
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model_cost = {
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"gpt-3.5-turbo": {
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"max_tokens": 4000,
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"input_cost_per_token": 0.0000015,
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"output_cost_per_token": 0.000002,
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},
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"gpt-35-turbo": {
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"max_tokens": 4000,
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"input_cost_per_token": 0.0000015,
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"output_cost_per_token": 0.000002,
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}, # azure model name
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"gpt-3.5-turbo-0613": {
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"max_tokens": 4000,
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"input_cost_per_token": 0.0000015,
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"output_cost_per_token": 0.000002,
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},
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"gpt-3.5-turbo-0301": {
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"max_tokens": 4000,
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"input_cost_per_token": 0.0000015,
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"output_cost_per_token": 0.000002,
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},
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"gpt-3.5-turbo-16k": {
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"max_tokens": 16000,
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"input_cost_per_token": 0.000003,
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"output_cost_per_token": 0.000004,
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},
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"gpt-35-turbo-16k": {
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"max_tokens": 16000,
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"input_cost_per_token": 0.000003,
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"output_cost_per_token": 0.000004,
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}, # azure model name
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"gpt-3.5-turbo-16k-0613": {
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"max_tokens": 16000,
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"input_cost_per_token": 0.000003,
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"output_cost_per_token": 0.000004,
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},
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"gpt-4": {
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"max_tokens": 8000,
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"input_cost_per_token": 0.000003,
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"output_cost_per_token": 0.00006,
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},
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"gpt-4-0613": {
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"max_tokens": 8000,
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"input_cost_per_token": 0.000003,
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"output_cost_per_token": 0.00006,
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},
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"gpt-4-32k": {
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"max_tokens": 8000,
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"input_cost_per_token": 0.00006,
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"output_cost_per_token": 0.00012,
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},
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"claude-instant-1": {
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"max_tokens": 100000,
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"input_cost_per_token": 0.00000163,
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"output_cost_per_token": 0.00000551,
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},
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"claude-2": {
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"max_tokens": 100000,
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"input_cost_per_token": 0.00001102,
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"output_cost_per_token": 0.00003268,
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},
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"text-bison-001": {
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"max_tokens": 8192,
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"input_cost_per_token": 0.000004,
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"output_cost_per_token": 0.000004,
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},
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"chat-bison-001": {
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"max_tokens": 4096,
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"input_cost_per_token": 0.000002,
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"output_cost_per_token": 0.000002,
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},
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"command-nightly": {
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"max_tokens": 4096,
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"input_cost_per_token": 0.000015,
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"output_cost_per_token": 0.000015,
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},
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}
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class BerriSpendLogger:
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# Class variables or attributes
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def __init__(self):
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# Instance variables
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self.account_id = os.getenv("BERRISPEND_ACCOUNT_ID")
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def price_calculator(self, model, response_obj, start_time, end_time):
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return
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def log_event(
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self, model, messages, response_obj, start_time, end_time, print_verbose
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):
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"""
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This integration is not implemented yet.
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"""
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return
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