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Merge pull request #250 from tolak/phala-tee-aiagent-request
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Add mech tool for TEE AI agent
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0xArdi authored Sep 11, 2024
2 parents fcd7fca + 45ca648 commit ac2bd3a
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1 change: 1 addition & 0 deletions packages/packages.json
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"custom/victorpolisetty/dalle_request/0.1.0": "bafybeieqqtd6gtlry7vheix54nj3ok4cag3uy47yoxlufhi6y3u5i6doti",
"custom/jhehemann/prediction_sentence_embeddings/0.1.0": "bafybeifyyb2wpa77tl7a7fs3fabns45llivhgccbnrpupubojmq2fwe4si",
"custom/gnosis/ofv_market_resolver/0.1.0": "bafybeiemvfq6uxiz3wvdplnxg7wloy6siuggejerlkfkchks6ytgk27uqa",
"custom/valory/tee_openai_request/0.1.0": "bafybeictmezaorzxelsy4dztbxh5n2343zio3rk6vo7wc5lptxlobhdnku",
"protocol/valory/acn_data_share/0.1.0": "bafybeih5ydonnvrwvy2ygfqgfabkr47s4yw3uqxztmwyfprulwfsoe7ipq",
"protocol/valory/websocket_client/0.1.0": "bafybeifjk254sy65rna2k32kynzenutujwqndap2r222afvr3zezi27mx4",
"contract/valory/agent_mech/0.1.0": "bafybeiah6b5epo2hlvzg5rr2cydgpp2waausoyrpnoarf7oa7bw33rex34",
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20 changes: 20 additions & 0 deletions packages/valory/customs/tee_openai_request/__init__.py
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# -*- 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.
#
# ------------------------------------------------------------------------------

"""This module contains the tool to request openAI agent in TEE."""
22 changes: 22 additions & 0 deletions packages/valory/customs/tee_openai_request/component.yaml
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name: tee_openai_request
author: valory
version: 0.1.0
type: custom
description: A tool that runs a prompt against the OpenAI API hosted in TEE.
license: Apache-2.0
aea_version: '>=1.0.0, <2.0.0'
fingerprint:
__init__.py: bafybeibaxl4f33swhl5vk63v75ssw5mk3mhlgcwarok242ivgk5hphwpey
tee_openai_request.py: bafybeibhmihak7bexecww7mxxrtbsl54q77zl2t2r722u44yfmxv25j6bq
fingerprint_ignore_patterns: []
entry_point: tee_openai_request.py
callable: run
dependencies:
anthropic:
version: ==0.21.3
google-api-python-client:
version: ==2.95.0
openai:
version: ==1.30.2
tiktoken:
version: ==0.7.0
136 changes: 136 additions & 0 deletions packages/valory/customs/tee_openai_request/tee_openai_request.py
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# -*- 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.
#
# ------------------------------------------------------------------------------
"""Contains the job definitions"""
import functools
from typing import Any, Dict, Optional, Tuple, Callable

import anthropic
import googleapiclient
import openai
from tiktoken import encoding_for_model
import requests

MechResponse = Tuple[str, Optional[str], Optional[Dict[str, Any]], Any, Any]

def with_key_rotation(func: Callable):
@functools.wraps(func)
def wrapper(*args, **kwargs) -> MechResponse:
# this is expected to be a KeyChain object,
# although it is not explicitly typed as such
api_keys = kwargs["api_keys"]
retries_left: Dict[str, int] = api_keys.max_retries()

def execute() -> MechResponse:
"""Retry the function with a new key."""
try:
result = func(*args, **kwargs)
return result + (api_keys,)
except anthropic.RateLimitError as e:
# try with a new key again
service = "anthropic"
if retries_left[service] <= 0:
raise e
retries_left[service] -= 1
api_keys.rotate(service)
return execute()
except openai.RateLimitError as e:
# try with a new key again
if retries_left["openai"] <= 0 and retries_left["openrouter"] <= 0:
raise e
retries_left["openai"] -= 1
retries_left["openrouter"] -= 1
api_keys.rotate("openai")
api_keys.rotate("openrouter")
return execute()
except googleapiclient.errors.HttpError as e:
# try with a new key again
rate_limit_exceeded_code = 429
if e.status_code != rate_limit_exceeded_code:
raise e
service = "google_api_key"
if retries_left[service] <= 0:
raise e
retries_left[service] -= 1
api_keys.rotate(service)
return execute()
except Exception as e:
return str(e), "", None, None, api_keys

mech_response = execute()
return mech_response

return wrapper

def count_tokens(text: str, model: str) -> int:
"""Count the number of tokens in a text."""
enc = encoding_for_model(model)
return len(enc.encode(text))

PREFIX = "tee-openai-"
ENGINES = {
"chat": ["gpt-3.5-turbo", "gpt-4o-2024-08-06"],
"completion": ["gpt-3.5-turbo-instruct"],
}
ALLOWED_TOOLS = [PREFIX + value for values in ENGINES.values() for value in values]
AGENT_URL = "https://wapo-testnet.phala.network/ipfs/QmeUiNKgsHiAK3WM57XYd7ssqMwVNbcGwtm8gKLD2pVXiP"

@with_key_rotation
def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]:
"""Run the task"""
api_key = kwargs["api_keys"]["openai"]
prompt = kwargs["prompt"]
tool = kwargs["tool"]
counter_callback = kwargs.get("counter_callback", None)
if tool not in ALLOWED_TOOLS:
return (
f"Tool {tool} is not in the list of supported tools.",
None,
None,
None,
)

engine = tool.replace(PREFIX, "")

params = {
"openaiApiKey": api_key,
"chatQuery": prompt,
"openAiModel": engine
}

# Request to agent contract in TEE
response = requests.get(AGENT_URL, params=params)

if response.status_code == 200:
json_response = response.json()
if 'message' in json_response:
return str(json_response['message']), prompt, None, counter_callback
else:
return (
"The 'message' field is not present in the response.",
None,
None,
None,
)
else:
return (
f"Failed to retrieve data: {response.status_code}, {response.text}.",
None,
None,
None,
)

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