From 1d085a53a3ad24053c31783dc02a33ea6489567c Mon Sep 17 00:00:00 2001 From: David Vilela Date: Sun, 22 Sep 2024 19:50:17 +0200 Subject: [PATCH 01/12] feat: add tools --- packages/dvilela/customs/__init__.py | 19 +++ .../customs/corcel_request/__init__.py | 20 +++ .../customs/corcel_request/component.yaml | 16 ++ .../customs/corcel_request/corcel_request.py | 138 ++++++++++++++++++ .../dvilela/customs/llama_request/__init__.py | 20 +++ .../customs/llama_request/component.yaml | 16 ++ .../customs/llama_request/llama_request.py | 120 +++++++++++++++ 7 files changed, 349 insertions(+) create mode 100644 packages/dvilela/customs/__init__.py create mode 100644 packages/dvilela/customs/corcel_request/__init__.py create mode 100644 packages/dvilela/customs/corcel_request/component.yaml create mode 100644 packages/dvilela/customs/corcel_request/corcel_request.py create mode 100644 packages/dvilela/customs/llama_request/__init__.py create mode 100644 packages/dvilela/customs/llama_request/component.yaml create mode 100644 packages/dvilela/customs/llama_request/llama_request.py diff --git a/packages/dvilela/customs/__init__.py b/packages/dvilela/customs/__init__.py new file mode 100644 index 00000000..ba697745 --- /dev/null +++ b/packages/dvilela/customs/__init__.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 +# -*- 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. +# +# ------------------------------------------------------------------------------ diff --git a/packages/dvilela/customs/corcel_request/__init__.py b/packages/dvilela/customs/corcel_request/__init__.py new file mode 100644 index 00000000..014e7773 --- /dev/null +++ b/packages/dvilela/customs/corcel_request/__init__.py @@ -0,0 +1,20 @@ +# -*- coding: utf-8 -*- +# ------------------------------------------------------------------------------ +# +# Copyright 2023-2024 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 corcel request tool.""" diff --git a/packages/dvilela/customs/corcel_request/component.yaml b/packages/dvilela/customs/corcel_request/component.yaml new file mode 100644 index 00000000..465b459f --- /dev/null +++ b/packages/dvilela/customs/corcel_request/component.yaml @@ -0,0 +1,16 @@ +name: corcel_request +author: dvilela +version: 0.1.0 +type: custom +description: A tool to make LLM requests to Corcel. +license: Apache-2.0 +aea_version: '>=1.0.0, <2.0.0' +fingerprint: + __init__.py: bafybeibbn67pnrrm4qm3n3kbelvbs3v7fjlrjniywmw2vbizarippidtvi + corcel_request.py: bafybeiax3phjvq7l33hjkbyfz7jnpwzph35e2krkhjdmexvdclot3iy7by +fingerprint_ignore_patterns: [] +entry_point: corcel_request.py +callable: run +dependencies: + requests: + version: ==2.28.1 \ No newline at end of file diff --git a/packages/dvilela/customs/corcel_request/corcel_request.py b/packages/dvilela/customs/corcel_request/corcel_request.py new file mode 100644 index 00000000..08ceb9c0 --- /dev/null +++ b/packages/dvilela/customs/corcel_request/corcel_request.py @@ -0,0 +1,138 @@ +import requests +import re +import json +from typing import Optional, Dict, Any, Tuple + +PREDICTION_OFFLINE_PROMPT = """ +You are an LLM inside a multi-agent system that takes in a prompt of a user requesting a probability estimation +for a given event. You are provided with an input under the label "USER_PROMPT". You must follow the instructions +under the label "INSTRUCTIONS". You must provide your response in the format specified under "OUTPUT_FORMAT". + +INSTRUCTIONS +* Read the input under the label "USER_PROMPT" delimited by three backticks. +* The "USER_PROMPT" specifies an event. +* The event will only have two possible outcomes: either the event will happen or the event will not happen. +* If the event has more than two possible outcomes, you must ignore the rest of the instructions and output the response "Error". +* You must provide a probability estimation of the event happening, based on your training data. +* You are provided an itemized list of information under the label "ADDITIONAL_INFORMATION" delimited by three backticks. +* You can use any item in "ADDITIONAL_INFORMATION" in addition to your training data. +* If an item in "ADDITIONAL_INFORMATION" is not relevant, you must ignore that item for the estimation. +* You must provide your response in the format specified under "OUTPUT_FORMAT". +* Do not include any other contents in your response. + +USER_PROMPT: +``` +{user_prompt} +``` + +ADDITIONAL_INFORMATION: +``` +``` + +OUTPUT_FORMAT +* Your output response must be only a single JSON object to be parsed by Python's "json.loads()". +* The JSON must contain four fields: "p_yes", "p_no", "confidence", and "info_utility". +* Each item in the JSON must have a value between 0 and 1. + - "p_yes": Estimated probability that the event in the "USER_PROMPT" occurs. + - "p_no": Estimated probability that the event in the "USER_PROMPT" does not occur. + - "confidence": A value between 0 and 1 indicating the confidence in the prediction. 0 indicates lowest + confidence value; 1 maximum confidence value. + - "info_utility": Utility of the information provided in "ADDITIONAL_INFORMATION" to help you make the prediction. + 0 indicates lowest utility; 1 maximum utility. +* The sum of "p_yes" and "p_no" must equal 1. +* Output only the JSON object. Do not include any other contents in your response. +* This is incorrect:"```json{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}```" +* This is incorrect:```json"{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}"``` +* This is correct:"{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}" +""" + +CORCEL_URL = "https://api.corcel.io/v1/chat/completions" + +AVAILABLE_TOOLS = ["corcel-prediction", "corcel-completion"] + +DEFAULT_VALUES = { + "model": "llama-3", + "temperature": 0.1, + "max_tokens": 500 +} + + +def send_corcel_request(api_key: str, prompt: str, **kwargs) -> str: + """Makes a request to Corcel API""" + + payload = {key: kwargs.get(key, default_value) for key, default_value in DEFAULT_VALUES.items()} + + payload["messages"] = [ + { + "role": "system", + "content": prompt + } + ] + + headers = { + "accept": "application/json", + "content-type": "application/json", + "Authorization": api_key + } + + response = requests.post(CORCEL_URL, json=payload, headers=headers, timeout=60) + return response.text + + +def error_response(msg: str) -> Tuple[str, None, None, None]: + """Return an error mech response.""" + return msg, None, None, None + + +def response_post_process(response: str, tool_name: str) -> str: + """Loads the prediction into a json object""" + + # Join all the response pieces of content + content_regex = r'\{"content":\s"(.*?)(?:",\s|"})' + matches = re.findall(content_regex, response, re.DOTALL) + joined = ("").join(matches) + + # Clean and parse the response + clean_response = joined.replace('\\n', '').replace('"', '').replace('\\', '') + + if tool_name != "corcel-prediction": + return clean_response + + # Add missing quotes to the json keys + clean_response = re.sub(r'(\w+):', r'"\1":', clean_response) + + # Load the response + try: + json_response = json.loads(clean_response) + return json.dumps(json_response) + except json.JSONDecodeError: + return f"Error: response could not be properly postprocessed: {clean_response}" + + +def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: + """Run the task""" + + api_key = kwargs.get("api_keys", {}).get("corcel", None) + tool_name = kwargs.get("tool", None) + prompt = kwargs.get("prompt", None) + + if api_key is None: + return error_response("Corcel API key is not available.") + + if tool_name is None: + return error_response("No tool name has been specified.") + + if tool_name not in AVAILABLE_TOOLS: + return error_response(f"Tool {tool_name} is not an available tool [{AVAILABLE_TOOLS}].") + + if prompt is None: + return error_response("No prompt has been given.") + + if tool_name == "corcel-prediction": + kwargs["prompt"] = PREDICTION_OFFLINE_PROMPT.format(user_prompt=prompt) + + response = send_corcel_request(api_key=api_key, **kwargs) + + response = response_post_process(response, tool_name) + + return response, prompt, None, None diff --git a/packages/dvilela/customs/llama_request/__init__.py b/packages/dvilela/customs/llama_request/__init__.py new file mode 100644 index 00000000..815d2db4 --- /dev/null +++ b/packages/dvilela/customs/llama_request/__init__.py @@ -0,0 +1,20 @@ +# -*- coding: utf-8 -*- +# ------------------------------------------------------------------------------ +# +# Copyright 2023-2024 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 llama request tool.""" diff --git a/packages/dvilela/customs/llama_request/component.yaml b/packages/dvilela/customs/llama_request/component.yaml new file mode 100644 index 00000000..ee6ac6d8 --- /dev/null +++ b/packages/dvilela/customs/llama_request/component.yaml @@ -0,0 +1,16 @@ +name: llama_request +author: dvilela +version: 0.1.0 +type: custom +description: A tool to run local inference through llama-cpp. +license: Apache-2.0 +aea_version: '>=1.0.0, <2.0.0' +fingerprint: + __init__.py: bafybeibbn67pnrrm4qm3n3kbelvbs3v7fjlrjniywmw2vbizarippidtvi + llama_request.py: bafybeiax3phjvq7l33hjkbyfz7jnpwzph35e2krkhjdmexvdclot3iy7by +fingerprint_ignore_patterns: [] +entry_point: llama_request.py +callable: run +dependencies: + llama-cpp-python: + version: ==0.2.56 diff --git a/packages/dvilela/customs/llama_request/llama_request.py b/packages/dvilela/customs/llama_request/llama_request.py new file mode 100644 index 00000000..ffaf2562 --- /dev/null +++ b/packages/dvilela/customs/llama_request/llama_request.py @@ -0,0 +1,120 @@ +from llama_cpp import Llama +import json +from typing import Optional, Dict, Any, Tuple + +PREDICTION_OFFLINE_PROMPT = """ +You are an LLM that takes in a prompt of a user requesting a probability estimation +for a given event. You are provided with an input under the label "USER_PROMPT". You must follow the instructions +under the label "INSTRUCTIONS". You must provide your response in the format specified under "OUTPUT_FORMAT". + +INSTRUCTIONS +* Read the input under the label "USER_PROMPT" delimited by three backticks. +* The "USER_PROMPT" specifies an event. +* The event will only have two possible outcomes: either the event will happen or the event will not happen. +* You must provide a probability estimation of the event happening, based on your training data. +* You are provided an itemized list of information under the label "ADDITIONAL_INFORMATION" delimited by three backticks. +* You can use any item in "ADDITIONAL_INFORMATION" in addition to your training data. +* If an item in "ADDITIONAL_INFORMATION" is not relevant, you must ignore that item for the estimation. +* You must provide your response in the format specified under "OUTPUT_FORMAT". +* Do not include any other contents in your response. + +USER_PROMPT: +``` +{user_prompt} +``` + +ADDITIONAL_INFORMATION: +``` +``` + +OUTPUT_FORMAT +* Your output response must be only a single JSON object to be parsed by Python's "json.loads()". +* The JSON must contain four fields: "p_yes", "p_no", "confidence", and "info_utility". +* Each item in the JSON must have a value between 0 and 1. +* The sum of "p_yes" and "p_no" must equal 1. +* Output only the JSON object. Do not include any other contents in your response. +""" + +AVAILABLE_TOOLS = ["llama-prediction", "llama-completion"] + +AVAILABLE_MODELS = { + "mistral": { + "repo_id": "TheBloke/CapybaraHermes-2.5-Mistral-7B-GGUF", + "filename": "*Q2_K.gguf", + }, + "llama-3": { + "repo_id": "QuantFactory/Meta-Llama-3-8B-Instruct-GGUF", + "filename": "*Q4_0.gguf", + }, + "qwen-2.5": { + "repo_id": "Qwen/Qwen2.5-Coder-7B-Instruct-GGUF", + "filename": "*q3_k_m.gguf", + } +} + +DEFAULT_VALUES = { + "model": "llama-3", + "temperature": 0.8 +} + + +def inference(model: str, prompt: str, **kwargs) -> str: + """Runs LLm inference locally""" + + messages = [ + {"role": "system", "content": prompt} + ] + + llm = Llama.from_pretrained( + repo_id=AVAILABLE_MODELS[model]["repo_id"], + filename=AVAILABLE_MODELS[model]["filename"], + verbose=False, + ) + + output = llm.create_chat_completion( + messages=messages, + temperature=kwargs.get("temperature", DEFAULT_VALUES["temperature"]), + ) + + return output["choices"][0]["message"]["content"] + + +def error_response(msg: str) -> Tuple[str, None, None, None]: + """Return an error mech response.""" + return msg, None, None, None + + +def response_post_process(response: str) -> str: + """Response posptprocessing""" + try: + json_response = json.loads(response) + return json.dumps(json_response) + except json.JSONDecodeError: + return error_response(f"Response could not be properly postprocessed: {response}") + + +def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: + """Run the task""" + + tool_name = kwargs.get("tool", None) + kwargs["model"] = kwargs.get("model", "llama-3") + prompt = kwargs.get("prompt", None) + + if tool_name is None: + return error_response("No tool name has been specified.") + + if tool_name not in AVAILABLE_TOOLS: + return error_response(f"Tool {tool_name} is not an available tool [{AVAILABLE_TOOLS}].") + + if prompt is None: + return error_response("No prompt has been given.") + + if tool_name == "llama-prediction": + kwargs["prompt"] = PREDICTION_OFFLINE_PROMPT.format(user_prompt=prompt) + + response = inference(**kwargs) + + if tool_name == "llama-prediction": + response = response_post_process(response) + + return response, prompt, None, None From 21f2722956bca5d66a5159fcd72928d10ee0eeb9 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Sun, 22 Sep 2024 19:56:42 +0200 Subject: [PATCH 02/12] fix: hashes --- packages/dvilela/customs/corcel_request/component.yaml | 6 +++--- packages/dvilela/customs/llama_request/component.yaml | 4 ++-- packages/packages.json | 2 ++ 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/packages/dvilela/customs/corcel_request/component.yaml b/packages/dvilela/customs/corcel_request/component.yaml index 465b459f..54070209 100644 --- a/packages/dvilela/customs/corcel_request/component.yaml +++ b/packages/dvilela/customs/corcel_request/component.yaml @@ -6,11 +6,11 @@ description: A tool to make LLM requests to Corcel. license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: - __init__.py: bafybeibbn67pnrrm4qm3n3kbelvbs3v7fjlrjniywmw2vbizarippidtvi - corcel_request.py: bafybeiax3phjvq7l33hjkbyfz7jnpwzph35e2krkhjdmexvdclot3iy7by + __init__.py: bafybeicuohbwuyxqyv5ovgimdz326ivvvzatnw7mczil5n3tktur56cw6u + corcel_request.py: bafybeidvrt7sice2wuubmolzpjfitnzgminxznrz3wjz7yv47kszgrt4be fingerprint_ignore_patterns: [] entry_point: corcel_request.py callable: run dependencies: requests: - version: ==2.28.1 \ No newline at end of file + version: ==2.28.1 diff --git a/packages/dvilela/customs/llama_request/component.yaml b/packages/dvilela/customs/llama_request/component.yaml index ee6ac6d8..c95710e3 100644 --- a/packages/dvilela/customs/llama_request/component.yaml +++ b/packages/dvilela/customs/llama_request/component.yaml @@ -6,8 +6,8 @@ description: A tool to run local inference through llama-cpp. license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: - __init__.py: bafybeibbn67pnrrm4qm3n3kbelvbs3v7fjlrjniywmw2vbizarippidtvi - llama_request.py: bafybeiax3phjvq7l33hjkbyfz7jnpwzph35e2krkhjdmexvdclot3iy7by + __init__.py: bafybeiger6zvjsg356hyirgjadryvqlvz22wdkzqjsivkeqe3jvr33gcde + llama_request.py: bafybeie26qv3vo3yv4fpfalpaluoyexatxtn2p5is57jhsxpkmf2fhftaa fingerprint_ignore_patterns: [] entry_point: llama_request.py callable: run diff --git a/packages/packages.json b/packages/packages.json index 0025aa1d..892bf584 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -32,6 +32,8 @@ "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", + "custom/dvilela/corcel_request/0.1.0": "bafybeieqwagfqyfivqudxarc4a2jo5qwbqrqzfhlkoztu4zd6kekji6ucm", + "custom/dvilela/llama_request/0.1.0": "bafybeigigl7dilxwkg5otxxmrfgg2x2aejzzsveyth6yynobemwdo5dz4e", "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", From 05fe10384c97ba56240a1680a9b2ade30f8ae021 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Sun, 22 Sep 2024 20:04:58 +0200 Subject: [PATCH 03/12] fix: packages --- poetry.lock | 3239 +++++++++++++++++++++++------------------------- pyproject.toml | 1 + tox.ini | 1 + 3 files changed, 1543 insertions(+), 1698 deletions(-) diff --git a/poetry.lock b/poetry.lock index c8d49060..010c4a9c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,101 +1,114 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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(>=0.2.2,<1.0.dev0)"] name = "google-api-python-client" version = "2.95.0" description = "Google API Client Library for Python" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2082,7 +2029,7 @@ files = [ ] [package.dependencies] -google-api-core = ">=1.31.5,<2.0.0 || >2.3.0,<3.0.0.dev0" +google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0.dev0" google-auth = ">=1.19.0,<3.0.0.dev0" google-auth-httplib2 = ">=0.1.0" httplib2 = ">=0.15.0,<1.dev0" @@ -2090,14 +2037,13 @@ uritemplate = ">=3.0.1,<5" [[package]] name = "google-auth" -version = "2.33.0" +version = "2.35.0" description = "Google Authentication Library" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "google_auth-2.33.0-py2.py3-none-any.whl", hash = "sha256:8eff47d0d4a34ab6265c50a106a3362de6a9975bb08998700e389f857e4d39df"}, - {file = "google_auth-2.33.0.tar.gz", hash = "sha256:d6a52342160d7290e334b4d47ba390767e4438ad0d45b7630774533e82655b95"}, + {file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"}, + {file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"}, ] [package.dependencies] @@ -2107,7 +2053,7 @@ rsa = ">=3.1.4,<5" [package.extras] aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"] -enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"] +enterprise-cert = ["cryptography", "pyopenssl"] pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] reauth = ["pyu2f (>=0.1.5)"] requests = ["requests (>=2.20.0,<3.0.0.dev0)"] @@ -2116,7 +2062,6 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"] name = "google-auth-httplib2" version = "0.2.0" description = "Google Authentication Library: httplib2 transport" -category = "main" optional = false python-versions = "*" files = [ @@ -2130,18 +2075,17 @@ httplib2 = ">=0.19.0" [[package]] name = "google-cloud-functions" -version = "1.16.5" +version = "1.17.0" description = "Google Cloud Functions API client library" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "google_cloud_functions-1.16.5-py2.py3-none-any.whl", hash = "sha256:d18f4e828862ef6cfb35bebc65e6212e1767becb71e72af43a8879e8f59f9edf"}, - {file = "google_cloud_functions-1.16.5.tar.gz", hash = "sha256:e436090a2d5e39c33c3e0d9f611c9c5dcb6b11bc322c7a7f8cbf64c275ff0ab5"}, + {file = "google_cloud_functions-1.17.0-py2.py3-none-any.whl", hash = "sha256:300d24dae66e5a81eb778c862d432f1128e445c6dadbf9ce9ea1a9a45a4c4038"}, + {file = "google_cloud_functions-1.17.0.tar.gz", hash = "sha256:541b018a99433682112cab5b758095b0ca04ae5848f1a40eede1f909259b28f5"}, ] [package.dependencies] -google-api-core = {version = ">=1.34.1,<2.0.0 || >=2.11.0,<3.0.0dev", extras = ["grpc"]} +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" proto-plus = ">=1.22.3,<2.0.0dev" @@ -2151,7 +2095,6 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4 name = "google-cloud-resource-manager" version = "1.12.5" description = "Google Cloud Resource Manager API client library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2160,7 +2103,7 @@ files = [ ] [package.dependencies] -google-api-core = {version = ">=1.34.1,<2.0.0 || >=2.11.0,<3.0.0dev", extras = ["grpc"]} +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" proto-plus = ">=1.22.3,<2.0.0dev" @@ -2170,7 +2113,6 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4 name = "google-cloud-secret-manager" version = "2.20.2" description = "Google Cloud Secret Manager API client library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2179,7 +2121,7 @@ files = [ ] [package.dependencies] -google-api-core = {version = ">=1.34.1,<2.0.0 || >=2.11.0,<3.0.0dev", extras = ["grpc"]} +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" proto-plus = ">=1.22.3,<2.0.0dev" @@ -2189,7 +2131,6 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4 name = "google-generativeai" version = "0.6.0" description = "Google Generative AI High level API client library and tools." -category = "main" optional = false python-versions = ">=3.9" files = [ @@ -2211,14 +2152,13 @@ dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "py [[package]] name = "googleapis-common-protos" -version = "1.63.2" +version = "1.65.0" description = "Common protobufs used in Google APIs" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "googleapis-common-protos-1.63.2.tar.gz", hash = "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87"}, - {file = "googleapis_common_protos-1.63.2-py2.py3-none-any.whl", hash = "sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945"}, + {file = "googleapis_common_protos-1.65.0-py2.py3-none-any.whl", hash = "sha256:2972e6c496f435b92590fd54045060867f3fe9be2c82ab148fc8885035479a63"}, + {file = "googleapis_common_protos-1.65.0.tar.gz", hash = "sha256:334a29d07cddc3aa01dee4988f9afd9b2916ee2ff49d6b757155dc0d197852c0"}, ] [package.dependencies] @@ -2232,7 +2172,6 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"] name = "googlesearch-python" version = "1.2.3" description = "A Python library for scraping the Google search engine." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -2247,7 +2186,6 @@ requests = ">=2.20" name = "gql" version = "3.5.0" description = "GraphQL client for Python" -category = "main" optional = false python-versions = "*" files = [ @@ -2274,21 +2212,19 @@ websockets = ["websockets (>=10,<12)"] [[package]] name = "graphql-core" -version = "3.2.3" +version = "3.2.4" description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL." -category = "main" optional = false -python-versions = ">=3.6,<4" +python-versions = "<4,>=3.6" files = [ - {file = "graphql-core-3.2.3.tar.gz", hash = "sha256:06d2aad0ac723e35b1cb47885d3e5c45e956a53bc1b209a9fc5369007fe46676"}, - {file = "graphql_core-3.2.3-py3-none-any.whl", hash = "sha256:5766780452bd5ec8ba133f8bf287dc92713e3868ddd83aee4faab9fc3e303dc3"}, + {file = "graphql-core-3.2.4.tar.gz", hash = "sha256:acbe2e800980d0e39b4685dd058c2f4042660b89ebca38af83020fd872ff1264"}, + {file = "graphql_core-3.2.4-py3-none-any.whl", hash = "sha256:1604f2042edc5f3114f49cac9d77e25863be51b23a54a61a23245cf32f6476f0"}, ] [[package]] name = "greenlet" version = "3.0.3" description = "Lightweight in-process concurrent programming" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2360,7 +2296,6 @@ test = ["objgraph", "psutil"] name = "grpc-google-iam-v1" version = "0.13.1" description = "IAM API client library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2377,7 +2312,6 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4 name = "grpcio" version = "1.53.0" description = "HTTP/2-based RPC framework" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2435,7 +2369,6 @@ protobuf = ["grpcio-tools (>=1.53.0)"] name = "grpcio-status" version = "1.53.0" description = "Status proto mapping for gRPC" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -2450,14 +2383,13 @@ protobuf = ">=4.21.6" [[package]] name = "gunicorn" -version = "22.0.0" +version = "23.0.0" description = "WSGI HTTP Server for UNIX" -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "gunicorn-22.0.0-py3-none-any.whl", hash = "sha256:350679f91b24062c86e386e198a15438d53a7a8207235a78ba1b53df4c4378d9"}, - {file = "gunicorn-22.0.0.tar.gz", hash = "sha256:4a0b436239ff76fb33f11c07a16482c521a7e09c1ce3cc293c2330afe01bec63"}, + {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"}, + {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"}, ] [package.dependencies] @@ -2474,7 +2406,6 @@ tornado = ["tornado (>=0.2)"] name = "h11" version = "0.14.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -2486,7 +2417,6 @@ files = [ name = "h2" version = "4.1.0" description = "HTTP/2 State-Machine based protocol implementation" -category = "main" optional = false python-versions = ">=3.6.1" files = [ @@ -2502,7 +2432,6 @@ hyperframe = ">=6.0,<7" name = "hexbytes" version = "0.3.1" description = "hexbytes: Python `bytes` subclass that decodes hex, with a readable console output" -category = "main" optional = false python-versions = ">=3.7, <4" files = [ @@ -2520,7 +2449,6 @@ test = ["eth-utils (>=1.0.1,<3)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>= name = "hpack" version = "4.0.0" description = "Pure-Python HPACK header compression" -category = "main" optional = false python-versions = ">=3.6.1" files = [ @@ -2532,7 +2460,6 @@ files = [ name = "httpcore" version = "1.0.5" description = "A minimal low-level HTTP client." -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -2547,14 +2474,13 @@ h11 = ">=0.13,<0.15" [package.extras] asyncio = ["anyio (>=4.0,<5.0)"] http2 = ["h2 (>=3,<5)"] -socks = ["socksio (>=1.0.0,<2.0.0)"] +socks = ["socksio (==1.*)"] trio = ["trio (>=0.22.0,<0.26.0)"] [[package]] name = "httplib2" version = "0.22.0" description = "A comprehensive HTTP client library." -category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" files = [ @@ -2569,7 +2495,6 @@ pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0 name = "httptools" version = "0.6.1" description = "A collection of framework independent HTTP protocol utils." -category = "main" optional = false python-versions = ">=3.8.0" files = [ @@ -2618,7 +2543,6 @@ test = ["Cython (>=0.29.24,<0.30.0)"] name = "httpx" version = "0.25.2" description = "The next generation HTTP client." -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -2630,26 +2554,25 @@ files = [ anyio = "*" certifi = "*" h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""} -httpcore = ">=1.0.0,<2.0.0" +httpcore = "==1.*" idna = "*" sniffio = "*" [package.extras] brotli = ["brotli", "brotlicffi"] -cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"] +cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] -socks = ["socksio (>=1.0.0,<2.0.0)"] +socks = ["socksio (==1.*)"] [[package]] name = "huggingface-hub" -version = "0.24.5" +version = "0.25.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" -category = "main" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.24.5-py3-none-any.whl", hash = "sha256:d93fb63b1f1a919a22ce91a14518974e81fc4610bf344dfe7572343ce8d3aced"}, - {file = "huggingface_hub-0.24.5.tar.gz", hash = "sha256:7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3"}, + {file = "huggingface_hub-0.25.0-py3-none-any.whl", hash = "sha256:e2f357b35d72d5012cfd127108c4e14abcd61ba4ebc90a5a374dc2456cb34e12"}, + {file = "huggingface_hub-0.25.0.tar.gz", hash = "sha256:fb5fbe6c12fcd99d187ec7db95db9110fb1a20505f23040a5449a717c1a0db4d"}, ] [package.dependencies] @@ -2679,7 +2602,6 @@ typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "t name = "humanfriendly" version = "10.0" description = "Human friendly output for text interfaces using Python" -category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" files = [ @@ -2694,7 +2616,6 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve name = "hyperframe" version = "6.0.1" description = "HTTP/2 framing layer for Python" -category = "main" optional = false python-versions = ">=3.6.1" files = [ @@ -2706,7 +2627,6 @@ files = [ name = "hypothesis" version = "6.21.6" description = "A library for property-based testing" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -2736,26 +2656,27 @@ zoneinfo = ["backports.zoneinfo (>=0.2.1)", "importlib-resources (>=3.3.0)", "tz [[package]] name = "idna" -version = "3.7" +version = "3.10" description = "Internationalized Domain Names in Applications (IDNA)" -category = "main" optional = false -python-versions = ">=3.5" +python-versions = ">=3.6" files = [ - {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"}, - {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"}, + {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, + {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, ] +[package.extras] +all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"] + [[package]] name = "imageio" -version = "2.34.2" +version = "2.35.1" description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats." -category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "imageio-2.34.2-py3-none-any.whl", hash = "sha256:a0bb27ec9d5bab36a9f4835e51b21d2cb099e1f78451441f94687ff3404b79f8"}, - {file = "imageio-2.34.2.tar.gz", hash = "sha256:5c0c0ee8faa018a1c42f649b90395dd4d3bb6187c09053a0cd6f1fdd51bbff5e"}, + {file = "imageio-2.35.1-py3-none-any.whl", hash = "sha256:6eb2e5244e7a16b85c10b5c2fe0f7bf961b40fcb9f1a9fd1bd1d2c2f8fb3cd65"}, + {file = "imageio-2.35.1.tar.gz", hash = "sha256:4952dfeef3c3947957f6d5dedb1f4ca31c6e509a476891062396834048aeed2a"}, ] [package.dependencies] @@ -2763,19 +2684,20 @@ numpy = "*" pillow = ">=8.3.2" [package.extras] -all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"] -all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"] +all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"] +all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"] build = ["wheel"] dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"] docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"] ffmpeg = ["imageio-ffmpeg", "psutil"] fits = ["astropy"] -full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"] +full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"] gdal = ["gdal"] itk = ["itk"] linting = ["black", "flake8"] pillow-heif = ["pillow-heif"] pyav = ["av"] +rawpy = ["numpy (>2)", "rawpy"] test = ["fsspec[github]", "pytest", "pytest-cov"] tifffile = ["tifffile"] @@ -2783,7 +2705,6 @@ tifffile = ["tifffile"] name = "imageio-ffmpeg" version = "0.5.1" description = "FFMPEG wrapper for Python" -category = "main" optional = false python-versions = ">=3.5" files = [ @@ -2800,25 +2721,27 @@ setuptools = "*" [[package]] name = "importlib-resources" -version = "6.4.0" +version = "6.4.5" description = "Read resources from Python packages" -category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"}, - {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"}, + {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"}, + {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] -testing = 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-content-hash = "61745472628e1fde4edceaba4cb2a534f5f9a57a1689bf915107aafa0dfc0bac" +content-hash = "667096fd48ddeafb133f2aa92c659d98911aaa772e72f2e9bf354951a2b1d9b6" diff --git a/pyproject.toml b/pyproject.toml index 5251d8eb..15ab93e9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -77,6 +77,7 @@ langchain-community = "==0.2.1" prediction-market-agent-tooling = "^0.39.0" google-generativeai = "==0.6.0" openfactverification-kongzii = "^0.1.0" +llama-cpp-python = ">=0.2.56" [tool.poetry.group.dev.dependencies] tomte = {version = "==0.2.15", extras = ["cli", "tests"]} diff --git a/tox.ini b/tox.ini index 1ba5decf..29f85b3e 100644 --- a/tox.ini +++ b/tox.ini @@ -71,6 +71,7 @@ deps = replicate==0.15.7 prediction-market-agent-tooling>=0.39.0,<1.0.0 google-generativeai==0.6.0 + llama-cpp-python>=0.2.56 [extra-deps] deps = From aafd433a2067d15948edfa5b4f83d38ce58069b8 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Mon, 30 Sep 2024 13:00:20 +0200 Subject: [PATCH 04/12] feat: add gemini prediction tool --- .../customs/gemini_prediction/__init__.py | 20 ++++ .../customs/gemini_prediction/component.yaml | 16 +++ .../gemini_prediction/gemini_prediction.py | 102 ++++++++++++++++++ 3 files changed, 138 insertions(+) create mode 100644 packages/dvilela/customs/gemini_prediction/__init__.py create mode 100644 packages/dvilela/customs/gemini_prediction/component.yaml create mode 100644 packages/dvilela/customs/gemini_prediction/gemini_prediction.py diff --git a/packages/dvilela/customs/gemini_prediction/__init__.py b/packages/dvilela/customs/gemini_prediction/__init__.py new file mode 100644 index 00000000..23f2ff64 --- /dev/null +++ b/packages/dvilela/customs/gemini_prediction/__init__.py @@ -0,0 +1,20 @@ +# -*- coding: utf-8 -*- +# ------------------------------------------------------------------------------ +# +# Copyright 2023-2024 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 Gemini prediction tool.""" diff --git a/packages/dvilela/customs/gemini_prediction/component.yaml b/packages/dvilela/customs/gemini_prediction/component.yaml new file mode 100644 index 00000000..1a7692e1 --- /dev/null +++ b/packages/dvilela/customs/gemini_prediction/component.yaml @@ -0,0 +1,16 @@ +name: gemini_prediction +author: dvilela +version: 0.1.0 +type: custom +description: A tool to make LLM prediction requests to Gemini. +license: Apache-2.0 +aea_version: '>=1.0.0, <2.0.0' +fingerprint: + __init__.py: bafybeicuohbwuyxqyv5ovgimdz326ivvvzatnw7mczil5n3tktur56cw6u + corcel_request.py: bafybeidvrt7sice2wuubmolzpjfitnzgminxznrz3wjz7yv47kszgrt4be +fingerprint_ignore_patterns: [] +entry_point: gemini_prediction.py +callable: run +dependencies: + google-generativeai: + version: ==0.5.3 diff --git a/packages/dvilela/customs/gemini_prediction/gemini_prediction.py b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py new file mode 100644 index 00000000..108a1b8c --- /dev/null +++ b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py @@ -0,0 +1,102 @@ +import re +import json +from typing import Optional, Dict, Any, Tuple +import google.generativeai as genai + +PREDICTION_OFFLINE_PROMPT = """ +You are an LLM inside a multi-agent system that takes in a prompt of a user requesting a probability estimation +for a given event. You are provided with an input under the label "USER_PROMPT". You must follow the instructions +under the label "INSTRUCTIONS". You must provide your response in the format specified under "OUTPUT_FORMAT". + +INSTRUCTIONS +* Read the input under the label "USER_PROMPT" delimited by three backticks. +* The "USER_PROMPT" specifies an event. +* The event will only have two possible outcomes: either the event will happen or the event will not happen. +* If the event has more than two possible outcomes, you must ignore the rest of the instructions and output the response "Error". +* You must provide a probability estimation of the event happening, based on your training data. +* You are provided an itemized list of information under the label "ADDITIONAL_INFORMATION" delimited by three backticks. +* You can use any item in "ADDITIONAL_INFORMATION" in addition to your training data. +* If an item in "ADDITIONAL_INFORMATION" is not relevant, you must ignore that item for the estimation. +* You must provide your response in the format specified under "OUTPUT_FORMAT". +* Do not include any other contents in your response. + +USER_PROMPT: +``` +{user_prompt} +``` + +ADDITIONAL_INFORMATION: +``` +``` + +OUTPUT_FORMAT +* Your output response must be only a single JSON object to be parsed by Python's "json.loads()". +* The JSON must contain four fields: "p_yes", "p_no", "confidence", and "info_utility". +* Each item in the JSON must have a value between 0 and 1. + - "p_yes": Estimated probability that the event in the "USER_PROMPT" occurs. + - "p_no": Estimated probability that the event in the "USER_PROMPT" does not occur. + - "confidence": A value between 0 and 1 indicating the confidence in the prediction. 0 indicates lowest + confidence value; 1 maximum confidence value. + - "info_utility": Utility of the information provided in "ADDITIONAL_INFORMATION" to help you make the prediction. + 0 indicates lowest utility; 1 maximum utility. +* The sum of "p_yes" and "p_no" must equal 1. +* Output only the JSON object. Do not include any other contents in your response. +* This is incorrect:"```json{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}```" +* This is incorrect:```json"{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}"``` +* This is correct:"{{\n \"p_yes\": 0.2,\n \"p_no\": 0.8,\n \"confidence\": 0.7,\n \"info_utility\": 0.5\n}}" +""" + +AVAILABLE_TOOLS = ["gemini-prediction", "gemini-completion"] +AVAILABLE_MODELS = ["gemini-1.5-flash", "gemini-1.5-pro"] + + +def error_response(msg: str) -> Tuple[str, None, None, None]: + """Return an error mech response.""" + return msg, None, None, None + + +def response_post_process(response: str) -> str: + """Loads the prediction into a json object""" + + try: + json_response = json.loads(response) + return json.dumps(json_response) + except json.JSONDecodeError: + return f"Error: response could not be properly postprocessed: {response}" + + +def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: + """Run the task""" + + api_key = kwargs.get("api_keys", {}).get("gemini", None) + tool_name = kwargs.get("tool", None) + prompt = kwargs.get("prompt", None) + model = kwargs.get("model", "gemini-1.5-flash") + + if api_key is None: + return error_response("Gemini API key is not available.") + + if tool_name is None: + return error_response("No tool name has been specified.") + + if tool_name not in AVAILABLE_TOOLS: + return error_response(f"Tool {tool_name} is not an available tool [{AVAILABLE_TOOLS}].") + + if prompt is None: + return error_response("No prompt has been given.") + + if model not in AVAILABLE_MODELS: + return error_response(f"Model {model} is not an avaliable model: {AVAILABLE_MODELS}") + + if tool_name == "gemini-prediction": + prompt = PREDICTION_OFFLINE_PROMPT.format(user_prompt=prompt) + + genai.configure(api_key=api_key) + model = genai.GenerativeModel(model) + response = model.generate_content(prompt) + response = response.text + + if tool_name == "gemini-prediction": + response = response_post_process(response) + + return response, prompt, None, None From b48a265b9c6c3b586d5911532e0c22e42e6900f7 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Mon, 30 Sep 2024 13:03:55 +0200 Subject: [PATCH 05/12] fix: hashes --- packages/dvilela/customs/gemini_prediction/component.yaml | 4 ++-- packages/packages.json | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/packages/dvilela/customs/gemini_prediction/component.yaml b/packages/dvilela/customs/gemini_prediction/component.yaml index 1a7692e1..e396a72d 100644 --- a/packages/dvilela/customs/gemini_prediction/component.yaml +++ b/packages/dvilela/customs/gemini_prediction/component.yaml @@ -6,8 +6,8 @@ description: A tool to make LLM prediction requests to Gemini. license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: - __init__.py: bafybeicuohbwuyxqyv5ovgimdz326ivvvzatnw7mczil5n3tktur56cw6u - corcel_request.py: bafybeidvrt7sice2wuubmolzpjfitnzgminxznrz3wjz7yv47kszgrt4be + __init__.py: bafybeictllsxej6cl3hhrsfyroyiqcp5ian2wayajwpesbyjwnf5gwinxq + gemini_prediction.py: bafybeichwqlsx4ttthccdxe7zobjy3oexz5l4btkjxod7clin7avy5yf4i fingerprint_ignore_patterns: [] entry_point: gemini_prediction.py callable: run diff --git a/packages/packages.json b/packages/packages.json index 892bf584..2a18128f 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -34,6 +34,7 @@ "custom/valory/tee_openai_request/0.1.0": "bafybeictmezaorzxelsy4dztbxh5n2343zio3rk6vo7wc5lptxlobhdnku", "custom/dvilela/corcel_request/0.1.0": "bafybeieqwagfqyfivqudxarc4a2jo5qwbqrqzfhlkoztu4zd6kekji6ucm", "custom/dvilela/llama_request/0.1.0": "bafybeigigl7dilxwkg5otxxmrfgg2x2aejzzsveyth6yynobemwdo5dz4e", + "custom/dvilela/gemini_prediction/0.1.0": "bafybeihtyylg2lv77htzqbzfzuckv3r5ylziqkznbsmc4yodkk5wp7wd3a", "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", From f4d603e36ecd58c45fedb614c10b6985aae1668d Mon Sep 17 00:00:00 2001 From: David Vilela Date: Tue, 1 Oct 2024 19:55:33 +0200 Subject: [PATCH 06/12] fix: add key rotation --- .../customs/corcel_request/corcel_request.py | 46 ++++++++++++++++++- .../gemini_prediction/gemini_prediction.py | 40 +++++++++++++++- 2 files changed, 82 insertions(+), 4 deletions(-) diff --git a/packages/dvilela/customs/corcel_request/corcel_request.py b/packages/dvilela/customs/corcel_request/corcel_request.py index 08ceb9c0..6ac922dd 100644 --- a/packages/dvilela/customs/corcel_request/corcel_request.py +++ b/packages/dvilela/customs/corcel_request/corcel_request.py @@ -1,7 +1,44 @@ import requests import re import json -from typing import Optional, Dict, Any, Tuple +from typing import Optional, Dict, Any, Tuple, Callable +import functools + +class CorcelAPIException(Exception): + pass + +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 CorcelAPIException: + # try with a new key again + service = "corcel" + if retries_left[service] <= 0: + raise Exception("Error: API retries exhausted") + 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 + PREDICTION_OFFLINE_PROMPT = """ You are an LLM inside a multi-agent system that takes in a prompt of a user requesting a probability estimation @@ -76,6 +113,10 @@ def send_corcel_request(api_key: str, prompt: str, **kwargs) -> str: } response = requests.post(CORCEL_URL, json=payload, headers=headers, timeout=60) + + if response.status_code != 200: + raise CorcelAPIException(f"Corcel API error: {response.json()}") + return response.text @@ -109,10 +150,11 @@ def response_post_process(response: str, tool_name: str) -> str: return f"Error: response could not be properly postprocessed: {clean_response}" +@with_key_rotation def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: """Run the task""" - api_key = kwargs.get("api_keys", {}).get("corcel", None) + api_key = kwargs["api_keys"]["corcel"] tool_name = kwargs.get("tool", None) prompt = kwargs.get("prompt", None) diff --git a/packages/dvilela/customs/gemini_prediction/gemini_prediction.py b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py index 108a1b8c..e59cbc77 100644 --- a/packages/dvilela/customs/gemini_prediction/gemini_prediction.py +++ b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py @@ -1,7 +1,42 @@ import re import json -from typing import Optional, Dict, Any, Tuple +from typing import Optional, Dict, Any, Tuple, Callable import google.generativeai as genai +import functools +from google.api_core.exceptions import GoogleAPIError + +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 GoogleAPIError: + # try with a new key again + service = "gemini" + if retries_left[service] <= 0: + raise Exception("Error: API retries exhausted") + retries_left[service] -= 1 + api_keys.rotate(service) + return execute() + except Exception as e: + import pdb;pdb.set_trace() + return str(e), "", None, None, api_keys + + mech_response = execute() + return mech_response + + return wrapper + PREDICTION_OFFLINE_PROMPT = """ You are an LLM inside a multi-agent system that takes in a prompt of a user requesting a probability estimation @@ -65,10 +100,11 @@ def response_post_process(response: str) -> str: return f"Error: response could not be properly postprocessed: {response}" +@with_key_rotation def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: """Run the task""" - api_key = kwargs.get("api_keys", {}).get("gemini", None) + api_key = kwargs["api_keys"]["gemini"] tool_name = kwargs.get("tool", None) prompt = kwargs.get("prompt", None) model = kwargs.get("model", "gemini-1.5-flash") From 62174c444847d87e917478e16be413728a6f001d Mon Sep 17 00:00:00 2001 From: David Vilela Date: Tue, 1 Oct 2024 19:55:57 +0200 Subject: [PATCH 07/12] fix: hashes --- packages/dvilela/customs/corcel_request/component.yaml | 2 +- packages/dvilela/customs/gemini_prediction/component.yaml | 2 +- packages/packages.json | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/packages/dvilela/customs/corcel_request/component.yaml b/packages/dvilela/customs/corcel_request/component.yaml index 54070209..1b7b4821 100644 --- a/packages/dvilela/customs/corcel_request/component.yaml +++ b/packages/dvilela/customs/corcel_request/component.yaml @@ -7,7 +7,7 @@ license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: __init__.py: bafybeicuohbwuyxqyv5ovgimdz326ivvvzatnw7mczil5n3tktur56cw6u - corcel_request.py: bafybeidvrt7sice2wuubmolzpjfitnzgminxznrz3wjz7yv47kszgrt4be + corcel_request.py: bafybeic73hwu7xmh5gsslvsvwiobtzjkydjoksmfs5wiklafg54lu4hep4 fingerprint_ignore_patterns: [] entry_point: corcel_request.py callable: run diff --git a/packages/dvilela/customs/gemini_prediction/component.yaml b/packages/dvilela/customs/gemini_prediction/component.yaml index e396a72d..0ad0852e 100644 --- a/packages/dvilela/customs/gemini_prediction/component.yaml +++ b/packages/dvilela/customs/gemini_prediction/component.yaml @@ -7,7 +7,7 @@ license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: __init__.py: bafybeictllsxej6cl3hhrsfyroyiqcp5ian2wayajwpesbyjwnf5gwinxq - gemini_prediction.py: bafybeichwqlsx4ttthccdxe7zobjy3oexz5l4btkjxod7clin7avy5yf4i + gemini_prediction.py: bafybeib32rcuy675dthzn62qgz5is7h7lfb4d5rjpxrdnegwlkjif6z5kq fingerprint_ignore_patterns: [] entry_point: gemini_prediction.py callable: run diff --git a/packages/packages.json b/packages/packages.json index 2a18128f..a2c5ef3b 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -32,9 +32,9 @@ "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", - "custom/dvilela/corcel_request/0.1.0": "bafybeieqwagfqyfivqudxarc4a2jo5qwbqrqzfhlkoztu4zd6kekji6ucm", + "custom/dvilela/corcel_request/0.1.0": "bafybeicjrix2wg23cm2j437isokkzd26uloqezlx3cg2pu7rf7mfwg3p6e", "custom/dvilela/llama_request/0.1.0": "bafybeigigl7dilxwkg5otxxmrfgg2x2aejzzsveyth6yynobemwdo5dz4e", - "custom/dvilela/gemini_prediction/0.1.0": "bafybeihtyylg2lv77htzqbzfzuckv3r5ylziqkznbsmc4yodkk5wp7wd3a", + "custom/dvilela/gemini_prediction/0.1.0": "bafybeifhy4meufr6rsmalaylex2kgf4gwfvccnzaoseqpo7kvo5ry5xdlm", "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", From 614010b8e059e4cc296cbde2fc3952f28fc586b8 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Thu, 3 Oct 2024 13:14:12 +0200 Subject: [PATCH 08/12] fix: add key rotation --- .../gemini_prediction/gemini_prediction.py | 2 - .../customs/llama_request/llama_request.py | 29 +- poetry.lock | 908 +++++++++--------- 3 files changed, 482 insertions(+), 457 deletions(-) diff --git a/packages/dvilela/customs/gemini_prediction/gemini_prediction.py b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py index e59cbc77..c5793a0a 100644 --- a/packages/dvilela/customs/gemini_prediction/gemini_prediction.py +++ b/packages/dvilela/customs/gemini_prediction/gemini_prediction.py @@ -1,4 +1,3 @@ -import re import json from typing import Optional, Dict, Any, Tuple, Callable import google.generativeai as genai @@ -29,7 +28,6 @@ def execute() -> MechResponse: api_keys.rotate(service) return execute() except Exception as e: - import pdb;pdb.set_trace() return str(e), "", None, None, api_keys mech_response = execute() diff --git a/packages/dvilela/customs/llama_request/llama_request.py b/packages/dvilela/customs/llama_request/llama_request.py index ffaf2562..5dd44882 100644 --- a/packages/dvilela/customs/llama_request/llama_request.py +++ b/packages/dvilela/customs/llama_request/llama_request.py @@ -1,6 +1,30 @@ from llama_cpp import Llama import json -from typing import Optional, Dict, Any, Tuple +from typing import Optional, Dict, Any, Tuple, Callable +import functools + +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"] + + def execute() -> MechResponse: + """Retry the function with a new key.""" + try: + result = func(*args, **kwargs) + return result + (api_keys,) + except Exception as e: + return str(e), "", None, None, api_keys + + mech_response = execute() + return mech_response + + return wrapper + PREDICTION_OFFLINE_PROMPT = """ You are an LLM that takes in a prompt of a user requesting a probability estimation @@ -90,9 +114,10 @@ def response_post_process(response: str) -> str: json_response = json.loads(response) return json.dumps(json_response) except json.JSONDecodeError: - return error_response(f"Response could not be properly postprocessed: {response}") + return f"Response could not be properly postprocessed: {response}" +@with_key_rotation def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: """Run the task""" diff --git a/poetry.lock b/poetry.lock index 2e53a2e6..7585939f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,113 +2,113 @@ [[package]] name = "aiohappyeyeballs" -version = 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__init__.py: bafybeictllsxej6cl3hhrsfyroyiqcp5ian2wayajwpesbyjwnf5gwinxq - gemini_prediction.py: bafybeib32rcuy675dthzn62qgz5is7h7lfb4d5rjpxrdnegwlkjif6z5kq + gemini_prediction.py: bafybeicx7fuf5hdbqc4i2uwup33quhoqzy5g4i6vyqcmcdl7rkmnsbvg3a fingerprint_ignore_patterns: [] entry_point: gemini_prediction.py callable: run diff --git a/packages/dvilela/customs/llama_request/component.yaml b/packages/dvilela/customs/llama_request/component.yaml index c95710e3..e3fae500 100644 --- a/packages/dvilela/customs/llama_request/component.yaml +++ b/packages/dvilela/customs/llama_request/component.yaml @@ -7,7 +7,7 @@ license: Apache-2.0 aea_version: '>=1.0.0, <2.0.0' fingerprint: __init__.py: bafybeiger6zvjsg356hyirgjadryvqlvz22wdkzqjsivkeqe3jvr33gcde - llama_request.py: bafybeie26qv3vo3yv4fpfalpaluoyexatxtn2p5is57jhsxpkmf2fhftaa + llama_request.py: bafybeiekdxyjjnumfqcns5n3ghrui76zsmaxuq67bwrjxeqyshqn34syoq fingerprint_ignore_patterns: [] entry_point: llama_request.py callable: run diff --git a/packages/packages.json b/packages/packages.json index 7c78d7d4..c046bde0 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -33,8 +33,8 @@ "custom/gnosis/ofv_market_resolver/0.1.0": "bafybeigapoti2ysukapphspjawktkb4qkeltlollt4d2z4u7mrddk3u3rq", "custom/valory/tee_openai_request/0.1.0": "bafybeictmezaorzxelsy4dztbxh5n2343zio3rk6vo7wc5lptxlobhdnku", "custom/dvilela/corcel_request/0.1.0": "bafybeicjrix2wg23cm2j437isokkzd26uloqezlx3cg2pu7rf7mfwg3p6e", - "custom/dvilela/llama_request/0.1.0": "bafybeigigl7dilxwkg5otxxmrfgg2x2aejzzsveyth6yynobemwdo5dz4e", - "custom/dvilela/gemini_prediction/0.1.0": "bafybeifhy4meufr6rsmalaylex2kgf4gwfvccnzaoseqpo7kvo5ry5xdlm", + "custom/dvilela/llama_request/0.1.0": "bafybeicn4oglysjhr34hrbkziccgeco4pfauogau3apx7elyz4a4fjh7py", + "custom/dvilela/gemini_prediction/0.1.0": "bafybeifv5ifgl3ni36et2oxtmupms2hz6hdfxnre67ssnvd2idcsl5cqgm", "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", From 0bd7645744d35704217fe8aa21cdf9fd7d379eff Mon Sep 17 00:00:00 2001 From: David Vilela Date: Thu, 3 Oct 2024 13:43:56 +0200 Subject: [PATCH 10/12] fix: deps --- .../dvilela/customs/gemini_prediction/component.yaml | 2 ++ packages/packages.json | 2 +- poetry.lock | 10 +++++----- pyproject.toml | 1 + 4 files changed, 9 insertions(+), 6 deletions(-) diff --git a/packages/dvilela/customs/gemini_prediction/component.yaml b/packages/dvilela/customs/gemini_prediction/component.yaml index 89bf9f51..0f01de61 100644 --- a/packages/dvilela/customs/gemini_prediction/component.yaml +++ b/packages/dvilela/customs/gemini_prediction/component.yaml @@ -14,3 +14,5 @@ callable: run dependencies: google-generativeai: version: ==0.5.3 + google-api-core: + version: '>=2.20.0' diff --git a/packages/packages.json b/packages/packages.json index c046bde0..338be8d9 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -34,7 +34,7 @@ "custom/valory/tee_openai_request/0.1.0": "bafybeictmezaorzxelsy4dztbxh5n2343zio3rk6vo7wc5lptxlobhdnku", "custom/dvilela/corcel_request/0.1.0": "bafybeicjrix2wg23cm2j437isokkzd26uloqezlx3cg2pu7rf7mfwg3p6e", "custom/dvilela/llama_request/0.1.0": "bafybeicn4oglysjhr34hrbkziccgeco4pfauogau3apx7elyz4a4fjh7py", - "custom/dvilela/gemini_prediction/0.1.0": "bafybeifv5ifgl3ni36et2oxtmupms2hz6hdfxnre67ssnvd2idcsl5cqgm", + "custom/dvilela/gemini_prediction/0.1.0": "bafybeigvwflupxzbjgmaxcxml5vkez3obl4fjo6bxzhquq56urnviq32u4", "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", diff --git a/poetry.lock b/poetry.lock index 7585939f..a50d26ce 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2001,12 +2001,12 @@ files = [ google-auth = ">=2.14.1,<3.0.dev0" googleapis-common-protos = ">=1.56.2,<2.0.dev0" grpcio = [ - {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, + {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, ] grpcio-status = [ - {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, + {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, ] proto-plus = ">=1.22.3,<2.0.0dev" protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0" @@ -4206,9 +4206,9 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, ] [[package]] @@ -4379,8 +4379,8 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""}, + {version = ">=1.23.2", markers = "python_version == \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -7734,4 +7734,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "667096fd48ddeafb133f2aa92c659d98911aaa772e72f2e9bf354951a2b1d9b6" +content-hash = "9b4c10d2d1c4b6f9f467fb03924d602f484f5b1d12d40d8ab16f7df8affcc9e2" diff --git a/pyproject.toml b/pyproject.toml index 34277420..fd9aa6b4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,6 +79,7 @@ openfactverification-kongzii = "^0.1.0" llama-cpp-python = ">=0.2.56" lxml = {extras = ["html-clean"], version = "^5.1.0"} +google-api-core = "^2.20.0" [tool.poetry.group.dev.dependencies] tomte = {version = "==0.2.15", extras = ["cli", "tests"]} From f1be8dd606d4f2f26a566d2f3e66a0bae7057ce2 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Thu, 3 Oct 2024 15:55:08 +0200 Subject: [PATCH 11/12] fix: tox dep --- tox.ini | 1 + 1 file changed, 1 insertion(+) diff --git a/tox.ini b/tox.ini index 29f85b3e..33f7438f 100644 --- a/tox.ini +++ b/tox.ini @@ -72,6 +72,7 @@ deps = prediction-market-agent-tooling>=0.39.0,<1.0.0 google-generativeai==0.6.0 llama-cpp-python>=0.2.56 + google-api-core>=2.20.0 [extra-deps] deps = From b88e166631d91e1a4c9404c56453d259eabb16d9 Mon Sep 17 00:00:00 2001 From: David Vilela Date: Thu, 3 Oct 2024 16:33:14 +0200 Subject: [PATCH 12/12] fix: remove llama tool --- .../dvilela/customs/llama_request/__init__.py | 20 --- .../customs/llama_request/component.yaml | 16 -- .../customs/llama_request/llama_request.py | 145 ------------------ packages/packages.json | 1 - poetry.lock | 35 +---- pyproject.toml | 1 - tox.ini | 1 - 7 files changed, 1 insertion(+), 218 deletions(-) delete mode 100644 packages/dvilela/customs/llama_request/__init__.py delete mode 100644 packages/dvilela/customs/llama_request/component.yaml delete mode 100644 packages/dvilela/customs/llama_request/llama_request.py diff --git a/packages/dvilela/customs/llama_request/__init__.py b/packages/dvilela/customs/llama_request/__init__.py deleted file mode 100644 index 815d2db4..00000000 --- a/packages/dvilela/customs/llama_request/__init__.py +++ /dev/null @@ -1,20 +0,0 @@ -# -*- coding: utf-8 -*- -# ------------------------------------------------------------------------------ -# -# Copyright 2023-2024 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 llama request tool.""" diff --git a/packages/dvilela/customs/llama_request/component.yaml b/packages/dvilela/customs/llama_request/component.yaml deleted file mode 100644 index e3fae500..00000000 --- a/packages/dvilela/customs/llama_request/component.yaml +++ /dev/null @@ -1,16 +0,0 @@ -name: llama_request -author: dvilela -version: 0.1.0 -type: custom -description: A tool to run local inference through llama-cpp. -license: Apache-2.0 -aea_version: '>=1.0.0, <2.0.0' -fingerprint: - __init__.py: bafybeiger6zvjsg356hyirgjadryvqlvz22wdkzqjsivkeqe3jvr33gcde - llama_request.py: bafybeiekdxyjjnumfqcns5n3ghrui76zsmaxuq67bwrjxeqyshqn34syoq -fingerprint_ignore_patterns: [] -entry_point: llama_request.py -callable: run -dependencies: - llama-cpp-python: - version: ==0.2.56 diff --git a/packages/dvilela/customs/llama_request/llama_request.py b/packages/dvilela/customs/llama_request/llama_request.py deleted file mode 100644 index 5dd44882..00000000 --- a/packages/dvilela/customs/llama_request/llama_request.py +++ /dev/null @@ -1,145 +0,0 @@ -from llama_cpp import Llama -import json -from typing import Optional, Dict, Any, Tuple, Callable -import functools - -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"] - - def execute() -> MechResponse: - """Retry the function with a new key.""" - try: - result = func(*args, **kwargs) - return result + (api_keys,) - except Exception as e: - return str(e), "", None, None, api_keys - - mech_response = execute() - return mech_response - - return wrapper - - -PREDICTION_OFFLINE_PROMPT = """ -You are an LLM that takes in a prompt of a user requesting a probability estimation -for a given event. You are provided with an input under the label "USER_PROMPT". You must follow the instructions -under the label "INSTRUCTIONS". You must provide your response in the format specified under "OUTPUT_FORMAT". - -INSTRUCTIONS -* Read the input under the label "USER_PROMPT" delimited by three backticks. -* The "USER_PROMPT" specifies an event. -* The event will only have two possible outcomes: either the event will happen or the event will not happen. -* You must provide a probability estimation of the event happening, based on your training data. -* You are provided an itemized list of information under the label "ADDITIONAL_INFORMATION" delimited by three backticks. -* You can use any item in "ADDITIONAL_INFORMATION" in addition to your training data. -* If an item in "ADDITIONAL_INFORMATION" is not relevant, you must ignore that item for the estimation. -* You must provide your response in the format specified under "OUTPUT_FORMAT". -* Do not include any other contents in your response. - -USER_PROMPT: -``` -{user_prompt} -``` - -ADDITIONAL_INFORMATION: -``` -``` - -OUTPUT_FORMAT -* Your output response must be only a single JSON object to be parsed by Python's "json.loads()". -* The JSON must contain four fields: "p_yes", "p_no", "confidence", and "info_utility". -* Each item in the JSON must have a value between 0 and 1. -* The sum of "p_yes" and "p_no" must equal 1. -* Output only the JSON object. Do not include any other contents in your response. -""" - -AVAILABLE_TOOLS = ["llama-prediction", "llama-completion"] - -AVAILABLE_MODELS = { - "mistral": { - "repo_id": "TheBloke/CapybaraHermes-2.5-Mistral-7B-GGUF", - "filename": "*Q2_K.gguf", - }, - "llama-3": { - "repo_id": "QuantFactory/Meta-Llama-3-8B-Instruct-GGUF", - "filename": "*Q4_0.gguf", - }, - "qwen-2.5": { - "repo_id": "Qwen/Qwen2.5-Coder-7B-Instruct-GGUF", - "filename": "*q3_k_m.gguf", - } -} - -DEFAULT_VALUES = { - "model": "llama-3", - "temperature": 0.8 -} - - -def inference(model: str, prompt: str, **kwargs) -> str: - """Runs LLm inference locally""" - - messages = [ - {"role": "system", "content": prompt} - ] - - llm = Llama.from_pretrained( - repo_id=AVAILABLE_MODELS[model]["repo_id"], - filename=AVAILABLE_MODELS[model]["filename"], - verbose=False, - ) - - output = llm.create_chat_completion( - messages=messages, - temperature=kwargs.get("temperature", DEFAULT_VALUES["temperature"]), - ) - - return output["choices"][0]["message"]["content"] - - -def error_response(msg: str) -> Tuple[str, None, None, None]: - """Return an error mech response.""" - return msg, None, None, None - - -def response_post_process(response: str) -> str: - """Response posptprocessing""" - try: - json_response = json.loads(response) - return json.dumps(json_response) - except json.JSONDecodeError: - return f"Response could not be properly postprocessed: {response}" - - -@with_key_rotation -def run(**kwargs) -> Tuple[Optional[str], Optional[Dict[str, Any]], Any, Any]: - """Run the task""" - - tool_name = kwargs.get("tool", None) - kwargs["model"] = kwargs.get("model", "llama-3") - prompt = kwargs.get("prompt", None) - - if tool_name is None: - return error_response("No tool name has been specified.") - - if tool_name not in AVAILABLE_TOOLS: - return error_response(f"Tool {tool_name} is not an available tool [{AVAILABLE_TOOLS}].") - - if prompt is None: - return error_response("No prompt has been given.") - - if tool_name == "llama-prediction": - kwargs["prompt"] = PREDICTION_OFFLINE_PROMPT.format(user_prompt=prompt) - - response = inference(**kwargs) - - if tool_name == "llama-prediction": - response = response_post_process(response) - - return response, prompt, None, None diff --git a/packages/packages.json b/packages/packages.json index 338be8d9..c4c8345e 100644 --- a/packages/packages.json +++ b/packages/packages.json @@ -33,7 +33,6 @@ "custom/gnosis/ofv_market_resolver/0.1.0": "bafybeigapoti2ysukapphspjawktkb4qkeltlollt4d2z4u7mrddk3u3rq", "custom/valory/tee_openai_request/0.1.0": "bafybeictmezaorzxelsy4dztbxh5n2343zio3rk6vo7wc5lptxlobhdnku", "custom/dvilela/corcel_request/0.1.0": "bafybeicjrix2wg23cm2j437isokkzd26uloqezlx3cg2pu7rf7mfwg3p6e", - "custom/dvilela/llama_request/0.1.0": "bafybeicn4oglysjhr34hrbkziccgeco4pfauogau3apx7elyz4a4fjh7py", "custom/dvilela/gemini_prediction/0.1.0": "bafybeigvwflupxzbjgmaxcxml5vkez3obl4fjo6bxzhquq56urnviq32u4", "protocol/valory/acn_data_share/0.1.0": "bafybeih5ydonnvrwvy2ygfqgfabkr47s4yw3uqxztmwyfprulwfsoe7ipq", "protocol/valory/websocket_client/0.1.0": "bafybeifjk254sy65rna2k32kynzenutujwqndap2r222afvr3zezi27mx4", diff --git a/poetry.lock b/poetry.lock index a50d26ce..0030cc65 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1371,17 +1371,6 @@ files = [ [package.dependencies] packaging = "*" -[[package]] -name = "diskcache" -version = "5.6.3" -description = "Disk Cache -- Disk and file backed persistent cache." -optional = false -python-versions = ">=3" -files = [ - {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"}, - {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"}, -] - [[package]] name = "distlib" version = "0.3.8" @@ -3075,28 +3064,6 @@ marisa-trie = ">=0.7.7" build = ["build", "twine"] test = ["pytest", "pytest-cov"] -[[package]] -name = "llama-cpp-python" -version = "0.3.1" -description = "Python bindings for the llama.cpp library" -optional = false -python-versions = ">=3.8" -files = [ - {file = "llama_cpp_python-0.3.1.tar.gz", hash = "sha256:75ec8374960b6353c254e55a48e7c7783abf6bcb9178ba0f655490738e5a9004"}, -] - -[package.dependencies] -diskcache = ">=5.6.1" -jinja2 = ">=2.11.3" -numpy = ">=1.20.0" -typing-extensions = ">=4.5.0" - -[package.extras] -all = ["llama_cpp_python[dev,server,test]"] -dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-material (>=9.1.18)", "mkdocstrings[python] (>=0.22.0)", "pytest (>=7.4.0)", "twine (>=4.0.2)"] -server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"] -test = ["fastapi (>=0.100.0)", "httpx (>=0.24.1)", "huggingface-hub (>=0.23.0)", "pydantic-settings (>=2.0.1)", "pytest (>=7.4.0)", "scipy (>=1.10)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)"] - [[package]] name = "loguru" version = "0.7.2" @@ -7734,4 +7701,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "9b4c10d2d1c4b6f9f467fb03924d602f484f5b1d12d40d8ab16f7df8affcc9e2" +content-hash = "5960364ba9b816a4296d7aceebae3c0c15edc327ae9c1d5a343ec887547a4e7c" diff --git a/pyproject.toml b/pyproject.toml index fd9aa6b4..b75d0dc9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,7 +76,6 @@ langchain-community = "==0.2.1" prediction-market-agent-tooling = "^0.39.0" google-generativeai = "==0.6.0" openfactverification-kongzii = "^0.1.0" -llama-cpp-python = ">=0.2.56" lxml = {extras = ["html-clean"], version = "^5.1.0"} google-api-core = "^2.20.0" diff --git a/tox.ini b/tox.ini index 33f7438f..7d77786e 100644 --- a/tox.ini +++ b/tox.ini @@ -71,7 +71,6 @@ deps = replicate==0.15.7 prediction-market-agent-tooling>=0.39.0,<1.0.0 google-generativeai==0.6.0 - llama-cpp-python>=0.2.56 google-api-core>=2.20.0 [extra-deps]