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Merge pull request #160 from valory-xyz/feat/mech-support
Feat/mech support
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,58 @@ | ||
| [MASTER] | ||
| ignore-patterns=.*_pb2.py,contract_dispatcher.py,test_abci_messages.py,test_tendermint_messages.py | ||
| ignore=packages/valory/protocols/abci,packages/valory/connections/abci/gogoproto | ||
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| [MESSAGES CONTROL] | ||
| disable=C0103,R0801,C0301,C0201,C0204,C0209,W1203,C0302,R1735,R1729,W0511,E0611 | ||
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| # See here for more options: https://www.codeac.io/documentation/pylint-configuration.html | ||
| R1735: use-dict-literal | ||
| R1729: use-a-generator | ||
| C0103: invalid-name | ||
| C0201: consider-iterating-dictionary | ||
| W1203: logging-fstring-interpolation | ||
| C0204: bad-mcs-classmethod-argument | ||
| C0209: consider-using-f-string | ||
| C0301: http://pylint-messages.wikidot.com/messages:c0301 > Line too long | ||
| C0302: http://pylint-messages.wikidot.com/messages:c0302 > Too many lines in module | ||
| R0801: similar lines | ||
| E0611: no-name-in-module | ||
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| [IMPORTS] | ||
| ignored-modules=pandas,numpy,aea_cli_ipfs,compose,multidict,gql,anthropic,tiktoken | ||
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| [DESIGN] | ||
| # min-public-methods=1 | ||
| max-public-methods=58 | ||
| # max-returns=10 | ||
| # max-bool-expr=7 | ||
| max-args=6 | ||
| # max-locals=31 | ||
| # max-statements=80 | ||
| max-parents=10 | ||
| max-branches=36 | ||
| max-attributes=8 | ||
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| [REFACTORING] | ||
| # max-nested-blocks=6 | ||
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| [SPELLING] | ||
| # uncomment to enable | ||
| # spelling-dict=en_US | ||
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| # List of comma separated words that should not be checked. | ||
| spelling-ignore-words=nocover,pragma,params,noqa,kwargs,str,async,json,boolean,config,pytest,args,url,tx,jsonschema,traceback,api,nosec | ||
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| [SIMILARITIES] | ||
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| # Minimum lines number of a similarity. | ||
| min-similarity-lines=10 | ||
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| # Ignore comments when computing similarities. | ||
| ignore-comments=yes | ||
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| # Ignore docstrings when computing similarities. | ||
| ignore-docstrings=yes | ||
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| # Ignore imports when computing similarities. | ||
| ignore-imports=no |
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105 changes: 105 additions & 0 deletions
105
packages/valory/skills/task_execution/utils/benchmarks.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,105 @@ | ||
| # -*- coding: utf-8 -*- | ||
| # ------------------------------------------------------------------------------ | ||
| # | ||
| # Copyright 2024 Valory AG | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # | ||
| # ------------------------------------------------------------------------------ | ||
| """Benchmarking for tools.""" | ||
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| import logging | ||
| from typing import Any, Dict, Union | ||
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| import anthropic | ||
| import tiktoken | ||
| from tiktoken import Encoding | ||
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| PRICE_NUM_TOKENS = 1000 | ||
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| def encoding_for_model(model: str) -> Encoding: | ||
| """Get the encoding for a model.""" | ||
| return tiktoken.encoding_for_model(model) | ||
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| def count_tokens(text: str, model: str) -> int: | ||
| """Count the number of tokens in a text.""" | ||
| if "claude" in model: | ||
| return anthropic.Anthropic().count_tokens(text) | ||
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| enc = encoding_for_model(model) | ||
| return len(enc.encode(text)) | ||
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| class TokenCounterCallback: | ||
| """Callback to count the number of tokens used in a generation.""" | ||
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| TOKEN_PRICES = { | ||
| "gpt-3.5-turbo": {"input": 0.001, "output": 0.002}, | ||
| "gpt-4": {"input": 0.03, "output": 0.06}, | ||
| "gpt-4-turbo": {"input": 0.01, "output": 0.03}, | ||
| "claude-2": {"input": 0.008, "output": 0.024}, | ||
| } | ||
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| def __init__(self) -> None: | ||
| """Initialize the callback.""" | ||
| self.cost_dict: Dict[str, Union[int, float]] = { | ||
| "input_tokens": 0, | ||
| "output_tokens": 0, | ||
| "total_tokens": 0, | ||
| "input_cost": 0, | ||
| "output_cost": 0, | ||
| "total_cost": 0, | ||
| } | ||
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| @staticmethod | ||
| def token_to_cost(tokens: int, model: str, tokens_type: str) -> float: | ||
| """Converts a number of tokens to a cost in dollars.""" | ||
| return ( | ||
| tokens | ||
| / PRICE_NUM_TOKENS | ||
| * TokenCounterCallback.TOKEN_PRICES[model][tokens_type] | ||
| ) | ||
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| def calculate_cost(self, tokens_type: str, model: str, **kwargs: Any) -> None: | ||
| """Calculate the cost of a generation.""" | ||
| # Check if it its prompt or tokens are passed in | ||
| prompt_key = f"{tokens_type}_prompt" | ||
| token_key = f"{tokens_type}_tokens" | ||
| if prompt_key in kwargs: | ||
| tokens = count_tokens(kwargs[prompt_key], model) | ||
| elif token_key in kwargs: | ||
| tokens = kwargs[token_key] | ||
| else: | ||
| logging.warning(f"No {token_key}_tokens or {tokens_type}_prompt found.") | ||
| cost = self.token_to_cost(tokens, model, tokens_type) | ||
| self.cost_dict[token_key] += tokens | ||
| self.cost_dict[f"{tokens_type}_cost"] += cost | ||
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| def __call__(self, model: str, **kwargs: Any) -> None: | ||
| """Callback to count the number of tokens used in a generation.""" | ||
| if model not in list(TokenCounterCallback.TOKEN_PRICES.keys()): | ||
| raise ValueError(f"Model {model} not supported.") | ||
| try: | ||
| self.calculate_cost("input", model, **kwargs) | ||
| self.calculate_cost("output", model, **kwargs) | ||
| self.cost_dict["total_tokens"] = ( | ||
| self.cost_dict["input_tokens"] + self.cost_dict["output_tokens"] | ||
| ) | ||
| self.cost_dict["total_cost"] = ( | ||
| self.cost_dict["input_cost"] + self.cost_dict["output_cost"] | ||
| ) | ||
| except Exception as e: | ||
| logging.error(f"Error in TokenCounterCallback: {e}") |
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