mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2026-01-13 19:24:18 +01:00
Merge branch 'master' into autogpt/agent-protocol
This commit is contained in:
Reinier van der Leer
1
.gitattributes
vendored
1
.gitattributes
vendored
@@ -1 +1,2 @@
|
||||
frontend/build/* linguist-generated
|
||||
frontend/build/* linguist-vendored
|
||||
5
.github/workflows/autogpts-ci.yml
vendored
5
.github/workflows/autogpts-ci.yml
vendored
@@ -38,10 +38,9 @@ jobs:
|
||||
curl -sSL https://install.python-poetry.org | python -
|
||||
|
||||
- name: Run regression tests
|
||||
working-directory: ./autogpts/${{ matrix.agent-name }}/
|
||||
run: |
|
||||
sh run &
|
||||
sleep 20
|
||||
./run agent start ${{ matrix.agent-name }} --setup
|
||||
cd autogpts/${{ matrix.agent-name }}
|
||||
poetry run agbenchmark --mock
|
||||
poetry run agbenchmark --test=WriteFile
|
||||
env:
|
||||
|
||||
8
.github/workflows/benchmark-ci.yml
vendored
8
.github/workflows/benchmark-ci.yml
vendored
@@ -97,10 +97,10 @@ jobs:
|
||||
curl -sSL https://install.python-poetry.org | python -
|
||||
|
||||
- name: Run regression tests
|
||||
working-directory: ./autogpts/${{ matrix.agent-name }}/
|
||||
run: |
|
||||
sh run &
|
||||
sleep 20
|
||||
./run agent start ${{ matrix.agent-name }} --setup
|
||||
sleep 10
|
||||
cd autogpts/${{ matrix.agent-name }}
|
||||
set +e # Ignore non-zero exit codes and continue execution
|
||||
echo "Running the following command: poetry run agbenchmark --maintain --mock"
|
||||
|
||||
@@ -123,8 +123,6 @@ jobs:
|
||||
|
||||
echo "Running the following command: poetry run agbenchmark --test=WriteFile"
|
||||
poetry run agbenchmark --test=WriteFile
|
||||
sh run_benchmark serve &
|
||||
sleep 10
|
||||
cd ../../benchmark
|
||||
poetry install
|
||||
echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
|
||||
|
||||
5
.github/workflows/build-frontend.yml
vendored
5
.github/workflows/build-frontend.yml
vendored
@@ -1,10 +1,13 @@
|
||||
name: Build and Commit Frontend
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
- 'ci-test*' # This will match any branch that starts with "ci-test"
|
||||
paths:
|
||||
- 'frontend/**'
|
||||
|
||||
jobs:
|
||||
build:
|
||||
permissions:
|
||||
@@ -39,4 +42,4 @@ jobs:
|
||||
# title: "Update frontend build"
|
||||
# body: "This PR updates the frontend build."
|
||||
# branch: ${{ steps.vars.outputs.branch }}
|
||||
# base: "master"
|
||||
# base: "master"
|
||||
|
||||
2
.github/workflows/repo-stats.yml
vendored
2
.github/workflows/repo-stats.yml
vendored
@@ -14,7 +14,7 @@ jobs:
|
||||
steps:
|
||||
- name: run-ghrs
|
||||
# Use latest release.
|
||||
uses: jgehrcke/github-repo-stats@RELEASE
|
||||
uses: jgehrcke/github-repo-stats@HEAD
|
||||
with:
|
||||
ghtoken: ${{ secrets.ghrs_github_api_token }}
|
||||
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
# Quickstart Guide
|
||||
|
||||
> For the complete getting started [tutorial series](https://aiedge.medium.com/autogpt-forge-e3de53cc58ec) <- click here
|
||||
|
||||
Welcome to the Quickstart Guide! This guide will walk you through the process of setting up and running your own AutoGPT agent. Whether you're a seasoned AI developer or just starting out, this guide will provide you with the necessary steps to jumpstart your journey in the world of AI development with AutoGPT.
|
||||
|
||||
## System Requirements
|
||||
|
||||
@@ -67,6 +67,8 @@ Want to build your own groundbreaking agent using AutoGPT? 🛠️ There are thr
|
||||
|
||||
#### Get help - [Discord 💬](https://discord.gg/autogpt)
|
||||
|
||||
[](https://discord.gg/autogpt)
|
||||
|
||||
To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn’t created an issue for the same topic.
|
||||
|
||||
<p align="center">
|
||||
|
||||
@@ -7,6 +7,11 @@ The poetry configuration is invalid:
|
||||
- Additional properties are not allowed ('group' was unexpected)
|
||||
<img width="487" alt="Screenshot 2023-09-22 at 5 42 59 PM" src="https://github.com/Significant-Gravitas/AutoGPT/assets/9652976/dd451e6b-8114-44de-9928-075f5f06d661">
|
||||
|
||||
**Pydantic Validation Error**
|
||||
|
||||
Remove your sqlite agent.db file. it's probably because some of your data is not complying with the new spec (we will create migrations soon to avoid this problem)
|
||||
|
||||
|
||||
*Solution*
|
||||
|
||||
Update poetry
|
||||
|
||||
6
arena/AUTO_ENGINEER.json
Normal file
6
arena/AUTO_ENGINEER.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/kaiomagalhaes/AutoGPT",
|
||||
"timestamp": "2023-10-04T15:25:30.458687",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Alfred.json
Normal file
6
arena/Alfred.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Shadowless422/Alfred",
|
||||
"timestamp": "2023-10-03T10:42:45.473477",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/AppleGPT.json
Normal file
6
arena/AppleGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Nimit3-droid/AutoGPT",
|
||||
"timestamp": "2023-10-03T11:59:15.495902",
|
||||
"commit_hash_to_benchmark": "d8d7fc4858a8d13407f6d7da360c6b5d398f2175",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/AquaAgent.json
Normal file
6
arena/AquaAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/somnistudio/SomniGPT",
|
||||
"timestamp": "2023-10-05T03:33:53.858386",
|
||||
"commit_hash_to_benchmark": "a55ed27679f608003372feb9eb61f0104ca87858",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Bravo06.json
Normal file
6
arena/Bravo06.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/jafar-albadarneh/Bravo06GPT",
|
||||
"timestamp": "2023-10-04T19:59:01.836786",
|
||||
"commit_hash_to_benchmark": "7f89b8aae8748bc88b29ca94c3604ba540bbef94",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Bunny.json
Normal file
6
arena/Bunny.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/razorhasbeen/AutoGPT",
|
||||
"timestamp": "2023-10-03T11:50:56.725628",
|
||||
"commit_hash_to_benchmark": "d8d7fc4858a8d13407f6d7da360c6b5d398f2175",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/CurieAssistant.json
Normal file
6
arena/CurieAssistant.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/HMDCrew/AutoGPT",
|
||||
"timestamp": "2023-10-06T20:41:26.293944",
|
||||
"commit_hash_to_benchmark": "9e353e09b5df39d4d410bef57cf17387331e96f6",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/DevOpsAgent.json
Normal file
6
arena/DevOpsAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/rahuldotar/AutoGPT",
|
||||
"timestamp": "2023-10-02T11:34:29.870077",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/EmbeddedAg.json
Normal file
6
arena/EmbeddedAg.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Significant-Gravitas/AutoGPT",
|
||||
"timestamp": "2023-10-03T11:59:32.967011",
|
||||
"commit_hash_to_benchmark": "d8d7fc4858a8d13407f6d7da360c6b5d398f2175",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/FactoryGPT.json
Normal file
6
arena/FactoryGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/neilmartindev/FactoryGPT",
|
||||
"timestamp": "2023-10-04T16:24:58.525870",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
4
arena/Heisenberg.json
Normal file
4
arena/Heisenberg.json
Normal file
@@ -0,0 +1,4 @@
|
||||
"github_repo_url": "https://github.com/georgehaws/Heisenberg",
|
||||
"timestamp": "2023-10-02T16:07:18-07:00",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
6
arena/HuitzilAiAgent.json
Normal file
6
arena/HuitzilAiAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/codetitlan/AutoGPT-CDTHB",
|
||||
"timestamp": "2023-10-03T15:04:54.856291",
|
||||
"commit_hash_to_benchmark": "3374fd181852d489e51ee33a25d12a064a0bb55d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/KnowledgeExtractor.json
Normal file
6
arena/KnowledgeExtractor.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/arromaljj/KnowledgeExtractor",
|
||||
"timestamp": "2023-10-04T13:01:50.037123",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/LHRobot.json
Normal file
6
arena/LHRobot.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/LH-Enterprise/AutoGPT",
|
||||
"timestamp": "2023-10-07T01:05:31.627432",
|
||||
"commit_hash_to_benchmark": "b2d53d8d18c754a5b877ffeb9f42d3387c3324fd",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/MEGATRON.json
Normal file
6
arena/MEGATRON.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/razorhasbeen/AutoGPT",
|
||||
"timestamp": "2023-10-03T11:33:22.091896",
|
||||
"commit_hash_to_benchmark": "d8d7fc4858a8d13407f6d7da360c6b5d398f2175",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Melang.json
Normal file
6
arena/Melang.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Brian-Mwangi-developer/AutoGPT.git",
|
||||
"timestamp": "2023-10-06T08:50:14.080962",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Miao.json
Normal file
6
arena/Miao.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/StefanWan-Durham/AutoGPT.git",
|
||||
"timestamp": "2023-10-02T15:05:19.789945",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/MindwareGPT.json
Normal file
6
arena/MindwareGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/0xtotaylor/MindwareGPT.git",
|
||||
"timestamp": "2023-10-03T14:56:05.228408",
|
||||
"commit_hash_to_benchmark": "3374fd181852d489e51ee33a25d12a064a0bb55d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/NumberOne.json
Normal file
6
arena/NumberOne.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/micwin/AutoGPT",
|
||||
"timestamp": "2023-10-05T17:01:11.784397",
|
||||
"commit_hash_to_benchmark": "3b7d83a1a6d3fef1d415bfd1d4ba32ca1ba797cc",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Pacific.json
Normal file
6
arena/Pacific.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/yifeng-qiu/AutoGPTAgent",
|
||||
"timestamp": "2023-10-04T18:25:34.925806",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/ParalegalAgent.json
Normal file
6
arena/ParalegalAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/bRitch022/Auto-GPT",
|
||||
"timestamp": "2023-10-06T18:48:23.644236",
|
||||
"commit_hash_to_benchmark": "47eb5124fa97187d7f3fa4036e422cd771cf0ae7",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/RONNIN.json
Normal file
6
arena/RONNIN.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Huarada/AutoGPT",
|
||||
"timestamp": "2023-10-06T18:11:56.450481",
|
||||
"commit_hash_to_benchmark": "a55ed27679f608003372feb9eb61f0104ca87858",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/SaasWebDev.json
Normal file
6
arena/SaasWebDev.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/giggei/AutoGPT",
|
||||
"timestamp": "2023-10-02T15:44:54.390181",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/ShiviBot.json
Normal file
6
arena/ShiviBot.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/kshivang/DabblerGPT",
|
||||
"timestamp": "2023-10-07T01:30:06.292423",
|
||||
"commit_hash_to_benchmark": "b2d53d8d18c754a5b877ffeb9f42d3387c3324fd",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/Tessa_AutoGPT_agent.json
Normal file
6
arena/Tessa_AutoGPT_agent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/DelicaTessa/AutoGPT_hackathon",
|
||||
"timestamp": "2023-10-03T14:10:19.975796",
|
||||
"commit_hash_to_benchmark": "a0fba5d1f13d35a1c4a8b7718550677bf62b5101",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/TestAgent.json
Normal file
6
arena/TestAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/AdrianSilaghi/AutoGPT",
|
||||
"timestamp": "2023-10-02T09:01:26.433024",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/UTC-Crew.json
Normal file
6
arena/UTC-Crew.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/isayahc/AutoGPT.git",
|
||||
"timestamp": "2023-10-04T17:06:48.154911",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/WiseAgent.json
Normal file
6
arena/WiseAgent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Ashish-Soni08/SoniGPT",
|
||||
"timestamp": "2023-10-05T19:55:43.417780",
|
||||
"commit_hash_to_benchmark": "bcb24c1a5896a820cf054d13b90d23f3175f02fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/admariner.json
Normal file
6
arena/admariner.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/admariner/AutoGPT",
|
||||
"timestamp": "2023-10-07T14:12:26.956967",
|
||||
"commit_hash_to_benchmark": "b2d53d8d18c754a5b877ffeb9f42d3387c3324fd",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/bigman.json
Normal file
6
arena/bigman.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/bathrobe/autogpt",
|
||||
"timestamp": "2023-10-04T18:32:29.402925",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/bosaeed_agent.json
Normal file
6
arena/bosaeed_agent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/bosaeed/AutoGPT.git",
|
||||
"timestamp": "2023-10-03T15:31:04.721867",
|
||||
"commit_hash_to_benchmark": "3da29eae45683457131ee8736bedae7e2a74fbba",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/burt.json
Normal file
6
arena/burt.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/D4t4DrU1d/burt",
|
||||
"timestamp": "2023-10-05T14:00:59.740170",
|
||||
"commit_hash_to_benchmark": "a55ed27679f608003372feb9eb61f0104ca87858",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/caud.json
Normal file
6
arena/caud.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Swiftyos/CAUD",
|
||||
"timestamp": "2023-10-07T15:44:40.526955",
|
||||
"commit_hash_to_benchmark": "7a33af387e6959506eb8f01b49d296defe587e6d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/chenzo.json
Normal file
6
arena/chenzo.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/chenzino/AutoGPT",
|
||||
"timestamp": "2023-10-05T00:25:37.141373",
|
||||
"commit_hash_to_benchmark": "7f89b8aae8748bc88b29ca94c3604ba540bbef94",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/codebutler.json
Normal file
6
arena/codebutler.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/AJV009/AutoGPT",
|
||||
"timestamp": "2023-10-04T15:24:26.675066",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/ekc911_agent.json
Normal file
6
arena/ekc911_agent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/seacrest/ekc911GPT.git",
|
||||
"timestamp": "2023-10-05T03:09:36.845932",
|
||||
"commit_hash_to_benchmark": "73ef89e03a719ec1b2f01b0f04e9b1f64ffb2a7d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/evo-ninja.json
Normal file
6
arena/evo-ninja.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/polywrap/evo.ninja",
|
||||
"timestamp": "2023-10-06T23:28:08.231544",
|
||||
"commit_hash_to_benchmark": "8440f065d144036b543d151c38b473506c7f6029",
|
||||
"branch_to_benchmark": "dev"
|
||||
}
|
||||
6
arena/faran.json
Normal file
6
arena/faran.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/faranbutt/AutoGPT",
|
||||
"timestamp": "2023-10-03T11:37:15.047378",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/fritzgpt.json
Normal file
6
arena/fritzgpt.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/bsenst/FritzGPT",
|
||||
"timestamp": "2023-10-05T05:35:54.685802",
|
||||
"commit_hash_to_benchmark": "a55ed27679f608003372feb9eb61f0104ca87858",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/gipity.json
Normal file
6
arena/gipity.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/koad/gpt",
|
||||
"timestamp": "2023-10-02T19:47:45.668048",
|
||||
"commit_hash_to_benchmark": "163ab75379e1ee7792f50d4d70a1f482ca9cb6a1",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/hackathonishe.json
Normal file
6
arena/hackathonishe.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/qwdqwqdwqd/autogpt",
|
||||
"timestamp": "2023-10-02T16:40:17.929009",
|
||||
"commit_hash_to_benchmark": "a0fba5d1f13d35a1c4a8b7718550677bf62b5101",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/jaxbob1.json
Normal file
6
arena/jaxbob1.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/redthing1/AutoGPT",
|
||||
"timestamp": "2023-10-05T20:02:22.372414",
|
||||
"commit_hash_to_benchmark": "3b7d83a1a6d3fef1d415bfd1d4ba32ca1ba797cc",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/misslu.json
Normal file
6
arena/misslu.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/JasonZhang95/AutoGPT",
|
||||
"timestamp": "2023-10-02T11:37:30.488121",
|
||||
"commit_hash_to_benchmark": "062d286c239dc863ede4ad475d7348698722f5fa",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/mljar-agent.json
Normal file
6
arena/mljar-agent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/mljar/mljar-agent",
|
||||
"timestamp": "2023-10-03T11:28:17.260748",
|
||||
"commit_hash_to_benchmark": "d8d7fc4858a8d13407f6d7da360c6b5d398f2175",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/mrSabelotodo.json
Normal file
6
arena/mrSabelotodo.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/joslangarica/AutoGPT.git",
|
||||
"timestamp": "2023-10-03T01:11:32.290733",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/myGPT.json
Normal file
6
arena/myGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Tianxu-Jia/AutoGPT.git",
|
||||
"timestamp": "2023-10-03T10:59:48.149445",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/my_AutoGPT.json
Normal file
6
arena/my_AutoGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Tianxu-Jia/AutoGPT.git",
|
||||
"timestamp": "2023-10-03T08:57:28.681756",
|
||||
"commit_hash_to_benchmark": "949ab477a87cfb7a3668d7961e9443922081e098",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/nawalj.json
Normal file
6
arena/nawalj.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/nawaljunaid/AutoGPT.git",
|
||||
"timestamp": "2023-10-03T18:41:12.930097",
|
||||
"commit_hash_to_benchmark": "3374fd181852d489e51ee33a25d12a064a0bb55d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/od_agent_1.json
Normal file
6
arena/od_agent_1.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/mattsinnock/AutoGPT",
|
||||
"timestamp": "2023-10-05T01:13:15.930770",
|
||||
"commit_hash_to_benchmark": "73ef89e03a719ec1b2f01b0f04e9b1f64ffb2a7d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/piGPT.json
Normal file
6
arena/piGPT.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/pihanya/AutoGPT",
|
||||
"timestamp": "2023-10-06T20:37:37.445255",
|
||||
"commit_hash_to_benchmark": "abf88fe5097770b1da3383a19208b5a23e2371f3",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/prometheus.json
Normal file
6
arena/prometheus.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/yashrahurikar23/prometheus",
|
||||
"timestamp": "2023-10-04T15:21:16.474459",
|
||||
"commit_hash_to_benchmark": "1bd85cbc09473c0252928fb849ae8373607d6065",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/thebestagent.json
Normal file
6
arena/thebestagent.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/hisandan/AutoGPT",
|
||||
"timestamp": "2023-10-06T16:11:33.881369",
|
||||
"commit_hash_to_benchmark": "9e353e09b5df39d4d410bef57cf17387331e96f6",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
6
arena/v-gpt.json
Normal file
6
arena/v-gpt.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"github_repo_url": "https://github.com/Varun565/AutoGPT",
|
||||
"timestamp": "2023-10-05T03:17:36.972978",
|
||||
"commit_hash_to_benchmark": "3374fd181852d489e51ee33a25d12a064a0bb55d",
|
||||
"branch_to_benchmark": "master"
|
||||
}
|
||||
@@ -108,10 +108,13 @@ class Agent(
|
||||
def build_prompt(
|
||||
self,
|
||||
*args,
|
||||
extra_messages: list[ChatMessage] = [],
|
||||
extra_messages: Optional[list[ChatMessage]] = None,
|
||||
include_os_info: Optional[bool] = None,
|
||||
**kwargs,
|
||||
) -> ChatPrompt:
|
||||
if not extra_messages:
|
||||
extra_messages = []
|
||||
|
||||
# Clock
|
||||
extra_messages.append(
|
||||
ChatMessage.system(f"The current time and date is {time.strftime('%c')}"),
|
||||
|
||||
@@ -244,8 +244,8 @@ class BaseAgent(Configurable[BaseAgentSettings], ABC):
|
||||
def build_prompt(
|
||||
self,
|
||||
scratchpad: PromptScratchpad,
|
||||
extra_commands: list[CompletionModelFunction] = [],
|
||||
extra_messages: list[ChatMessage] = [],
|
||||
extra_commands: Optional[list[CompletionModelFunction]] = None,
|
||||
extra_messages: Optional[list[ChatMessage]] = None,
|
||||
**extras,
|
||||
) -> ChatPrompt:
|
||||
"""Constructs and returns a prompt with the following structure:
|
||||
@@ -256,6 +256,10 @@ class BaseAgent(Configurable[BaseAgentSettings], ABC):
|
||||
Params:
|
||||
cycle_instruction: The final instruction for a thinking cycle
|
||||
"""
|
||||
if not extra_commands:
|
||||
extra_commands = []
|
||||
if not extra_messages:
|
||||
extra_messages = []
|
||||
|
||||
# Apply additions from plugins
|
||||
for plugin in self.config.plugins:
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import TYPE_CHECKING, Any
|
||||
from typing import TYPE_CHECKING, Any, Optional
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from autogpt.core.prompting import ChatPrompt
|
||||
@@ -49,9 +49,12 @@ class ContextMixin:
|
||||
def build_prompt(
|
||||
self,
|
||||
*args: Any,
|
||||
extra_messages: list[ChatMessage] = [],
|
||||
extra_messages: Optional[list[ChatMessage]] = None,
|
||||
**kwargs: Any,
|
||||
) -> ChatPrompt:
|
||||
if not extra_messages:
|
||||
extra_messages = []
|
||||
|
||||
# Add context section to prompt
|
||||
if self.context:
|
||||
extra_messages.insert(
|
||||
|
||||
@@ -198,7 +198,7 @@ class OneShotAgentPromptStrategy(PromptStrategy):
|
||||
max_prompt_tokens: int,
|
||||
count_tokens: Callable[[str], int],
|
||||
count_message_tokens: Callable[[ChatMessage | list[ChatMessage]], int],
|
||||
extra_messages: list[ChatMessage] = [],
|
||||
extra_messages: Optional[list[ChatMessage]] = None,
|
||||
**extras,
|
||||
) -> ChatPrompt:
|
||||
"""Constructs and returns a prompt with the following structure:
|
||||
@@ -209,12 +209,14 @@ class OneShotAgentPromptStrategy(PromptStrategy):
|
||||
Params:
|
||||
cycle_instruction: The final instruction for a thinking cycle
|
||||
"""
|
||||
if not extra_messages:
|
||||
extra_messages = []
|
||||
|
||||
system_prompt = self.build_system_prompt(
|
||||
ai_config,
|
||||
ai_directives,
|
||||
commands,
|
||||
include_os_info,
|
||||
ai_config=ai_config,
|
||||
ai_directives=ai_directives,
|
||||
commands=commands,
|
||||
include_os_info=include_os_info,
|
||||
)
|
||||
system_prompt_tlength = count_message_tokens(ChatMessage.system(system_prompt))
|
||||
|
||||
|
||||
@@ -1,15 +1,13 @@
|
||||
import os
|
||||
|
||||
import uvicorn
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
import forge.sdk.forge_log
|
||||
|
||||
forge.sdk.forge_log.setup_logger()
|
||||
|
||||
|
||||
LOG = forge.sdk.forge_log.ForgeLogger(__name__)
|
||||
|
||||
|
||||
logo = """\n\n
|
||||
d8888 888 .d8888b. 8888888b. 88888888888
|
||||
d88888 888 d88P Y88b 888 Y88b 888
|
||||
@@ -36,19 +34,12 @@ d88P 888 "Y88888 "Y888 "Y88P" "Y8888P88 888 888
|
||||
\n"""
|
||||
|
||||
if __name__ == "__main__":
|
||||
"""Runs the agent server"""
|
||||
|
||||
# modules are imported here so that logging is setup first
|
||||
import forge.agent
|
||||
import forge.sdk.db
|
||||
from forge.sdk.workspace import LocalWorkspace
|
||||
|
||||
print(logo)
|
||||
database_name = os.getenv("DATABASE_STRING")
|
||||
workspace = LocalWorkspace(os.getenv("AGENT_WORKSPACE"))
|
||||
port = os.getenv("PORT", 8000)
|
||||
LOG.info(f"Agent server starting on http://localhost:{port}")
|
||||
load_dotenv()
|
||||
forge.sdk.forge_log.setup_logger()
|
||||
|
||||
database = forge.sdk.db.AgentDB(database_name, debug_enabled=False)
|
||||
agent = forge.agent.ForgeAgent(database=database, workspace=workspace)
|
||||
|
||||
agent.start(port=port)
|
||||
uvicorn.run(
|
||||
"forge.app:app", host="localhost", port=port, log_level="error", reload=True
|
||||
)
|
||||
|
||||
@@ -1,17 +1,12 @@
|
||||
import json
|
||||
import pprint
|
||||
|
||||
from forge.sdk import (
|
||||
Agent,
|
||||
AgentDB,
|
||||
ForgeLogger,
|
||||
Step,
|
||||
StepRequestBody,
|
||||
Workspace,
|
||||
ForgeLogger,
|
||||
Task,
|
||||
TaskRequestBody,
|
||||
PromptEngine,
|
||||
chat_completion_request,
|
||||
Workspace,
|
||||
)
|
||||
|
||||
LOG = ForgeLogger(__name__)
|
||||
@@ -129,7 +124,6 @@ class ForgeAgent(Agent):
|
||||
|
||||
self.workspace.write(task_id=task_id, path="output.txt", data=b"Washington D.C")
|
||||
|
||||
|
||||
await self.db.create_artifact(
|
||||
task_id=task_id,
|
||||
step_id=step.step_id,
|
||||
@@ -137,7 +131,7 @@ class ForgeAgent(Agent):
|
||||
relative_path="",
|
||||
agent_created=True,
|
||||
)
|
||||
|
||||
|
||||
step.output = "Washington D.C"
|
||||
|
||||
LOG.info(f"\t✅ Final Step completed: {step.step_id}")
|
||||
|
||||
11
autogpts/forge/forge/app.py
Normal file
11
autogpts/forge/forge/app.py
Normal file
@@ -0,0 +1,11 @@
|
||||
import os
|
||||
|
||||
from forge.agent import ForgeAgent
|
||||
from forge.sdk import AgentDB, LocalWorkspace
|
||||
|
||||
database_name = os.getenv("DATABASE_STRING")
|
||||
workspace = LocalWorkspace(os.getenv("AGENT_WORKSPACE"))
|
||||
database = AgentDB(database_name, debug_enabled=False)
|
||||
agent = ForgeAgent(database=database, workspace=workspace)
|
||||
|
||||
app = agent.get_agent_app()
|
||||
@@ -1,15 +1,13 @@
|
||||
import asyncio
|
||||
import os
|
||||
import pathlib
|
||||
from io import BytesIO
|
||||
from uuid import uuid4
|
||||
|
||||
import uvicorn
|
||||
from fastapi import APIRouter, FastAPI, UploadFile
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse
|
||||
from fastapi.responses import RedirectResponse, StreamingResponse
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from hypercorn.asyncio import serve
|
||||
from hypercorn.config import Config
|
||||
|
||||
from .abilities.registry import AbilityRegister
|
||||
from .db import AgentDB
|
||||
@@ -29,12 +27,11 @@ class Agent:
|
||||
self.workspace = workspace
|
||||
self.abilities = AbilityRegister(self)
|
||||
|
||||
def start(self, port: int = 8000, router: APIRouter = base_router):
|
||||
def get_agent_app(self, router: APIRouter = base_router):
|
||||
"""
|
||||
Start the agent server.
|
||||
"""
|
||||
config = Config()
|
||||
config.bind = [f"localhost:{port}"]
|
||||
|
||||
app = FastAPI(
|
||||
title="AutoGPT Forge",
|
||||
description="Modified version of The Agent Protocol.",
|
||||
@@ -51,7 +48,7 @@ class Agent:
|
||||
"http://127.0.0.1:8080",
|
||||
# Add any other origins you want to whitelist
|
||||
]
|
||||
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=origins,
|
||||
@@ -79,11 +76,12 @@ class Agent:
|
||||
)
|
||||
app.add_middleware(AgentMiddleware, agent=self)
|
||||
|
||||
config.loglevel = "ERROR"
|
||||
config.bind = [f"0.0.0.0:{port}"]
|
||||
return app
|
||||
|
||||
LOG.info(f"Agent server starting on http://localhost:{port}")
|
||||
asyncio.run(serve(app, config))
|
||||
def start(self, port):
|
||||
uvicorn.run(
|
||||
"forge.app:app", host="localhost", port=port, log_level="error", reload=True
|
||||
)
|
||||
|
||||
async def create_task(self, task_request: TaskRequestBody) -> Task:
|
||||
"""
|
||||
|
||||
@@ -1,2 +1,60 @@
|
||||
from typing import Optional
|
||||
|
||||
|
||||
class NotFoundError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class AgentException(Exception):
|
||||
"""Base class for specific exceptions relevant in the execution of Agents"""
|
||||
|
||||
message: str
|
||||
|
||||
hint: Optional[str] = None
|
||||
"""A hint which can be passed to the LLM to reduce reoccurrence of this error"""
|
||||
|
||||
def __init__(self, message: str, *args):
|
||||
self.message = message
|
||||
super().__init__(message, *args)
|
||||
|
||||
|
||||
class ConfigurationError(AgentException):
|
||||
"""Error caused by invalid, incompatible or otherwise incorrect configuration"""
|
||||
|
||||
|
||||
class InvalidAgentResponseError(AgentException):
|
||||
"""The LLM deviated from the prescribed response format"""
|
||||
|
||||
|
||||
class UnknownCommandError(AgentException):
|
||||
"""The AI tried to use an unknown command"""
|
||||
|
||||
hint = "Do not try to use this command again."
|
||||
|
||||
|
||||
class DuplicateOperationError(AgentException):
|
||||
"""The proposed operation has already been executed"""
|
||||
|
||||
|
||||
class CommandExecutionError(AgentException):
|
||||
"""An error occured when trying to execute the command"""
|
||||
|
||||
|
||||
class InvalidArgumentError(CommandExecutionError):
|
||||
"""The command received an invalid argument"""
|
||||
|
||||
|
||||
class OperationNotAllowedError(CommandExecutionError):
|
||||
"""The agent is not allowed to execute the proposed operation"""
|
||||
|
||||
|
||||
class AccessDeniedError(CommandExecutionError):
|
||||
"""The operation failed because access to a required resource was denied"""
|
||||
|
||||
|
||||
class CodeExecutionError(CommandExecutionError):
|
||||
"""The operation (an attempt to run arbitrary code) returned an error"""
|
||||
|
||||
|
||||
class TooMuchOutputError(CommandExecutionError):
|
||||
"""The operation generated more output than what the Agent can process"""
|
||||
|
||||
@@ -4,36 +4,26 @@ import openai
|
||||
from tenacity import retry, stop_after_attempt, wait_random_exponential
|
||||
|
||||
from .forge_log import ForgeLogger
|
||||
from litellm import completion, acompletion, AuthenticationError, InvalidRequestError
|
||||
|
||||
LOG = ForgeLogger(__name__)
|
||||
|
||||
|
||||
@retry(wait=wait_random_exponential(min=1, max=40), stop=stop_after_attempt(3))
|
||||
async def chat_completion_request(
|
||||
messages, functions=None, function_call=None, model=str, custom_labels=None
|
||||
model, messages, **kwargs
|
||||
) -> typing.Union[typing.Dict[str, typing.Any], Exception]:
|
||||
"""Generate a response to a list of messages using OpenAI's API"""
|
||||
try:
|
||||
kwargs = {
|
||||
"model": model,
|
||||
"messages": messages,
|
||||
}
|
||||
|
||||
if functions:
|
||||
kwargs["functions"] = functions
|
||||
|
||||
if function_call:
|
||||
kwargs["function_call"] = function_call
|
||||
|
||||
if custom_labels:
|
||||
kwargs["headers"] = {}
|
||||
for label in custom_labels.keys():
|
||||
# This is an example showing adding in the labels as helicone properties
|
||||
kwargs["headers"][f"Helicone-Property-{label}"] = custom_labels[label]
|
||||
|
||||
resp = await openai.ChatCompletion.acreate(**kwargs)
|
||||
kwargs["model"] = model
|
||||
kwargs["messages"] = messages
|
||||
|
||||
resp = await acompletion(**kwargs)
|
||||
return resp
|
||||
except AuthenticationError as e:
|
||||
LOG.exception("Authentication Error")
|
||||
except InvalidRequestError as e:
|
||||
LOG.exception("Invalid Request Error")
|
||||
except Exception as e:
|
||||
LOG.error("Unable to generate ChatCompletion response")
|
||||
LOG.error(f"Exception: {e}")
|
||||
|
||||
@@ -1 +1,2 @@
|
||||
|
||||
from .memstore import MemStore
|
||||
from .chroma_memstore import ChromaMemStore
|
||||
|
||||
160
autogpts/forge/forge/sdk/memory/chroma_memstore.py
Normal file
160
autogpts/forge/forge/sdk/memory/chroma_memstore.py
Normal file
@@ -0,0 +1,160 @@
|
||||
from .memstore import MemStore
|
||||
|
||||
import chromadb
|
||||
from chromadb.config import Settings
|
||||
import hashlib
|
||||
|
||||
|
||||
class ChromaMemStore:
|
||||
"""
|
||||
A class used to represent a Memory Store
|
||||
"""
|
||||
|
||||
def __init__(self, store_path: str):
|
||||
"""
|
||||
Initialize the MemStore with a given store path.
|
||||
|
||||
Args:
|
||||
store_path (str): The path to the store.
|
||||
"""
|
||||
self.client = chromadb.PersistentClient(
|
||||
path=store_path, settings=Settings(anonymized_telemetry=False)
|
||||
)
|
||||
|
||||
def add(self, task_id: str, document: str, metadatas: dict) -> None:
|
||||
"""
|
||||
Add a document to the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
document (str): The document to be added.
|
||||
metadatas (dict): The metadata of the document.
|
||||
"""
|
||||
doc_id = hashlib.sha256(document.encode()).hexdigest()[:20]
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.add(documents=[document], metadatas=[metadatas], ids=[doc_id])
|
||||
|
||||
def query(
|
||||
self,
|
||||
task_id: str,
|
||||
query: str,
|
||||
filters: dict = None,
|
||||
document_search: dict = None,
|
||||
) -> dict:
|
||||
"""
|
||||
Query the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
query (str): The query string.
|
||||
filters (dict, optional): The filters to be applied. Defaults to None.
|
||||
search_string (str, optional): The search string. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: The query results.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
|
||||
kwargs = {
|
||||
"query_texts": [query],
|
||||
"n_results": 10,
|
||||
}
|
||||
|
||||
if filters:
|
||||
kwargs["where"] = filters
|
||||
|
||||
if document_search:
|
||||
kwargs["where_document"] = document_search
|
||||
|
||||
return collection.query(**kwargs)
|
||||
|
||||
def get(self, task_id: str, doc_ids: list = None, filters: dict = None) -> dict:
|
||||
"""
|
||||
Get documents from the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_ids (list, optional): The IDs of the documents to be retrieved. Defaults to None.
|
||||
filters (dict, optional): The filters to be applied. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: The retrieved documents.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
kwargs = {}
|
||||
if doc_ids:
|
||||
kwargs["ids"] = doc_ids
|
||||
if filters:
|
||||
kwargs["where"] = filters
|
||||
return collection.get(**kwargs)
|
||||
|
||||
def update(self, task_id: str, doc_ids: list, documents: list, metadatas: list):
|
||||
"""
|
||||
Update documents in the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_ids (list): The IDs of the documents to be updated.
|
||||
documents (list): The updated documents.
|
||||
metadatas (list): The updated metadata.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.update(ids=doc_ids, documents=documents, metadatas=metadatas)
|
||||
|
||||
def delete(self, task_id: str, doc_id: str):
|
||||
"""
|
||||
Delete a document from the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_id (str): The ID of the document to be deleted.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.delete(ids=[doc_id])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("#############################################")
|
||||
# Initialize MemStore
|
||||
mem = ChromaMemStore(".agent_mem_store")
|
||||
|
||||
# Test add function
|
||||
task_id = "test_task"
|
||||
document = "This is a another new test document."
|
||||
metadatas = {"metadata": "test_metadata"}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
task_id = "test_task"
|
||||
document = "The quick brown fox jumps over the lazy dog."
|
||||
metadatas = {"metadata": "test_metadata"}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
task_id = "test_task"
|
||||
document = "AI is a new technology that will change the world."
|
||||
metadatas = {"timestamp": 1623936000}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
doc_id = hashlib.sha256(document.encode()).hexdigest()[:20]
|
||||
# Test query function
|
||||
query = "test"
|
||||
filters = {"metadata": {"$eq": "test"}}
|
||||
search_string = {"$contains": "test"}
|
||||
doc_ids = [doc_id]
|
||||
documents = ["This is an updated test document."]
|
||||
updated_metadatas = {"metadata": "updated_test_metadata"}
|
||||
|
||||
print("Query:")
|
||||
print(mem.query(task_id, query))
|
||||
|
||||
# Test get function
|
||||
print("Get:")
|
||||
|
||||
print(mem.get(task_id))
|
||||
|
||||
# Test update function
|
||||
print("Update:")
|
||||
print(mem.update(task_id, doc_ids, documents, updated_metadatas))
|
||||
|
||||
print("Delete:")
|
||||
# Test delete function
|
||||
print(mem.delete(task_id, doc_ids[0]))
|
||||
@@ -149,158 +149,3 @@ class MemStore(abc.ABC):
|
||||
@abc.abstractmethod
|
||||
def delete(self, collection_name: str, doc_id: str):
|
||||
pass
|
||||
|
||||
|
||||
class ChromaMemStore(MemStore):
|
||||
"""
|
||||
A class used to represent a Memory Store
|
||||
"""
|
||||
|
||||
def __init__(self, store_path: str):
|
||||
"""
|
||||
Initialize the MemStore with a given store path.
|
||||
|
||||
Args:
|
||||
store_path (str): The path to the store.
|
||||
"""
|
||||
self.client = chromadb.PersistentClient(
|
||||
path=store_path, settings=Settings(anonymized_telemetry=False)
|
||||
)
|
||||
|
||||
def add(self, task_id: str, document: str, metadatas: dict) -> None:
|
||||
"""
|
||||
Add a document to the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
document (str): The document to be added.
|
||||
metadatas (dict): The metadata of the document.
|
||||
"""
|
||||
doc_id = hashlib.sha256(document.encode()).hexdigest()[:20]
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.add(documents=[document], metadatas=[metadatas], ids=[doc_id])
|
||||
|
||||
def query(
|
||||
self,
|
||||
task_id: str,
|
||||
query: str,
|
||||
filters: dict = None,
|
||||
document_search: dict = None,
|
||||
) -> dict:
|
||||
"""
|
||||
Query the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
query (str): The query string.
|
||||
filters (dict, optional): The filters to be applied. Defaults to None.
|
||||
search_string (str, optional): The search string. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: The query results.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
|
||||
kwargs = {
|
||||
"query_texts": [query],
|
||||
"n_results": 10,
|
||||
}
|
||||
|
||||
if filters:
|
||||
kwargs["where"] = filters
|
||||
|
||||
if document_search:
|
||||
kwargs["where_document"] = document_search
|
||||
|
||||
return collection.query(**kwargs)
|
||||
|
||||
def get(self, task_id: str, doc_ids: list = None, filters: dict = None) -> dict:
|
||||
"""
|
||||
Get documents from the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_ids (list, optional): The IDs of the documents to be retrieved. Defaults to None.
|
||||
filters (dict, optional): The filters to be applied. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: The retrieved documents.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
kwargs = {}
|
||||
if doc_ids:
|
||||
kwargs["ids"] = doc_ids
|
||||
if filters:
|
||||
kwargs["where"] = filters
|
||||
return collection.get(**kwargs)
|
||||
|
||||
def update(self, task_id: str, doc_ids: list, documents: list, metadatas: list):
|
||||
"""
|
||||
Update documents in the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_ids (list): The IDs of the documents to be updated.
|
||||
documents (list): The updated documents.
|
||||
metadatas (list): The updated metadata.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.update(ids=doc_ids, documents=documents, metadatas=metadatas)
|
||||
|
||||
def delete(self, task_id: str, doc_id: str):
|
||||
"""
|
||||
Delete a document from the MemStore.
|
||||
|
||||
Args:
|
||||
task_id (str): The ID of the task.
|
||||
doc_id (str): The ID of the document to be deleted.
|
||||
"""
|
||||
collection = self.client.get_or_create_collection(task_id)
|
||||
collection.delete(ids=[doc_id])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("#############################################")
|
||||
# Initialize MemStore
|
||||
mem = MemStore(".agent_mem_store")
|
||||
|
||||
# Test add function
|
||||
task_id = "test_task"
|
||||
document = "This is a another new test document."
|
||||
metadatas = {"metadata": "test_metadata"}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
task_id = "test_task"
|
||||
document = "The quick brown fox jumps over the lazy dog."
|
||||
metadatas = {"metadata": "test_metadata"}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
task_id = "test_task"
|
||||
document = "AI is a new technology that will change the world."
|
||||
metadatas = {"timestamp": 1623936000}
|
||||
mem.add(task_id, document, metadatas)
|
||||
|
||||
doc_id = hashlib.sha256(document.encode()).hexdigest()[:20]
|
||||
# Test query function
|
||||
query = "test"
|
||||
filters = {"metadata": {"$eq": "test"}}
|
||||
search_string = {"$contains": "test"}
|
||||
doc_ids = [doc_id]
|
||||
documents = ["This is an updated test document."]
|
||||
updated_metadatas = {"metadata": "updated_test_metadata"}
|
||||
|
||||
print("Query:")
|
||||
print(mem.query(task_id, query))
|
||||
|
||||
# Test get function
|
||||
print("Get:")
|
||||
|
||||
print(mem.get(task_id))
|
||||
|
||||
# Test update function
|
||||
print("Update:")
|
||||
print(mem.update(task_id, doc_ids, documents, updated_metadatas))
|
||||
|
||||
print("Delete:")
|
||||
# Test delete function
|
||||
print(mem.delete(task_id, doc_ids[0]))
|
||||
|
||||
@@ -189,7 +189,7 @@ async def get_agent_task(request: Request, task_id: str) -> Task:
|
||||
"artifact_id": "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e",
|
||||
"file_name": "output.txt",
|
||||
"agent_created": true,
|
||||
"uri": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt"
|
||||
"relative_path": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt"
|
||||
}
|
||||
],
|
||||
"steps": [
|
||||
@@ -207,7 +207,7 @@ async def get_agent_task(request: Request, task_id: str) -> Task:
|
||||
"artifact_id": "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e",
|
||||
"file_name": "output.txt",
|
||||
"agent_created": true,
|
||||
"uri": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt"
|
||||
"relative_path": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt"
|
||||
}
|
||||
],
|
||||
"is_last": true
|
||||
@@ -354,6 +354,7 @@ async def execute_agent_task_step(
|
||||
# An empty step request represents a yes to continue command
|
||||
if not step:
|
||||
step = StepRequestBody(input="y")
|
||||
|
||||
step = await agent.execute_step(task_id, step)
|
||||
return Response(
|
||||
content=step.json(),
|
||||
|
||||
634
autogpts/forge/poetry.lock
generated
634
autogpts/forge/poetry.lock
generated
@@ -181,6 +181,17 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
|
||||
test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
|
||||
trio = ["trio (>=0.22)"]
|
||||
|
||||
[[package]]
|
||||
name = "appdirs"
|
||||
version = "1.4.4"
|
||||
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
|
||||
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "appnope"
|
||||
version = "0.1.3"
|
||||
@@ -443,86 +454,101 @@ files = [
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||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.2.0"
|
||||
version = "3.3.0"
|
||||
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
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[[package]]
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@@ -833,17 +859,17 @@ test = ["pytest (>=6)"]
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[[package]]
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name = "executing"
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||||
|
||||
[package.extras]
|
||||
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||||
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|
||||
|
||||
[[package]]
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||||
name = "fastapi"
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@@ -909,45 +935,53 @@ files = [
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[[package]]
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||||
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||||
[package.extras]
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||||
@@ -1184,21 +1218,6 @@ files = [
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||||
[[package]]
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||||
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||||
description = "HTTP/2 State-Machine based protocol implementation"
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||||
optional = false
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||||
python-versions = ">=3.6.1"
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[package.dependencies]
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||||
hyperframe = ">=6.0,<7"
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||||
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||||
[[package]]
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||||
name = "helicone"
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@@ -1214,17 +1233,6 @@ files = [
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openai = ">=0.27.0,<0.28.0"
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[[package]]
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[[package]]
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name = "httpcore"
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version = "0.18.0"
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@@ -1362,50 +1370,15 @@ files = [
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[package.dependencies]
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||||
pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
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||||
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||||
[[package]]
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||||
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||||
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|
||||
{file = "hypercorn-0.14.4.tar.gz", hash = "sha256:3fa504efc46a271640023c9b88c3184fd64993f47a282e8ae1a13ccb285c2f67"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
h11 = "*"
|
||||
h2 = ">=3.1.0"
|
||||
priority = "*"
|
||||
tomli = {version = "*", markers = "python_version < \"3.11\""}
|
||||
wsproto = ">=0.14.0"
|
||||
|
||||
[package.extras]
|
||||
docs = ["pydata_sphinx_theme"]
|
||||
h3 = ["aioquic (>=0.9.0,<1.0)"]
|
||||
trio = ["exceptiongroup (>=1.1.0)", "trio (>=0.22.0)"]
|
||||
uvloop = ["uvloop"]
|
||||
|
||||
[[package]]
|
||||
name = "hyperframe"
|
||||
version = "6.0.1"
|
||||
description = "HTTP/2 framing layer for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.6.1"
|
||||
files = [
|
||||
{file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
|
||||
{file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "identify"
|
||||
version = "2.5.29"
|
||||
version = "2.5.30"
|
||||
description = "File identification library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "identify-2.5.29-py2.py3-none-any.whl", hash = "sha256:24437fbf6f4d3fe6efd0eb9d67e24dd9106db99af5ceb27996a5f7895f24bf1b"},
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||||
{file = "identify-2.5.29.tar.gz", hash = "sha256:d43d52b86b15918c137e3a74fff5224f60385cd0e9c38e99d07c257f02f151a5"},
|
||||
{file = "identify-2.5.30-py2.py3-none-any.whl", hash = "sha256:afe67f26ae29bab007ec21b03d4114f41316ab9dd15aa8736a167481e108da54"},
|
||||
{file = "identify-2.5.30.tar.gz", hash = "sha256:f302a4256a15c849b91cfcdcec052a8ce914634b2f77ae87dad29cd749f2d88d"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@@ -1422,6 +1395,25 @@ files = [
|
||||
{file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "importlib-metadata"
|
||||
version = "6.8.0"
|
||||
description = "Read metadata from Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
|
||||
{file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
zipp = ">=0.5"
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||
perf = ["ipython"]
|
||||
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "importlib-resources"
|
||||
version = "6.1.0"
|
||||
@@ -1450,13 +1442,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "ipython"
|
||||
version = "8.15.0"
|
||||
version = "8.16.1"
|
||||
description = "IPython: Productive Interactive Computing"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "ipython-8.15.0-py3-none-any.whl", hash = "sha256:45a2c3a529296870a97b7de34eda4a31bee16bc7bf954e07d39abe49caf8f887"},
|
||||
{file = "ipython-8.15.0.tar.gz", hash = "sha256:2baeb5be6949eeebf532150f81746f8333e2ccce02de1c7eedde3f23ed5e9f1e"},
|
||||
{file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"},
|
||||
{file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1506,13 +1498,13 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
|
||||
|
||||
[[package]]
|
||||
name = "jedi"
|
||||
version = "0.19.0"
|
||||
version = "0.19.1"
|
||||
description = "An autocompletion tool for Python that can be used for text editors."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "jedi-0.19.0-py2.py3-none-any.whl", hash = "sha256:cb8ce23fbccff0025e9386b5cf85e892f94c9b822378f8da49970471335ac64e"},
|
||||
{file = "jedi-0.19.0.tar.gz", hash = "sha256:bcf9894f1753969cbac8022a8c2eaee06bfa3724e4192470aaffe7eb6272b0c4"},
|
||||
{file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
|
||||
{file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -1521,7 +1513,7 @@ parso = ">=0.8.3,<0.9.0"
|
||||
[package.extras]
|
||||
docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
|
||||
qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
|
||||
testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
|
||||
testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "jinja2"
|
||||
@@ -1669,6 +1661,27 @@ files = [
|
||||
{file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "0.1.821"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4.0"
|
||||
files = [
|
||||
{file = "litellm-0.1.821-py3-none-any.whl", hash = "sha256:120ba0292764283d58ffdc747deb34825fdac9b0b348edb70606395d9394d6c1"},
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||||
{file = "litellm-0.1.821.tar.gz", hash = "sha256:3fa19af177222e9ff2cf4e0c276427a881f49c6900e87d88ae2e3ccf7eb0f0ee"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
appdirs = ">=1.4.4,<2.0.0"
|
||||
click = "*"
|
||||
importlib-metadata = ">=6.8.0"
|
||||
jinja2 = ">=3.1.2,<4.0.0"
|
||||
openai = ">=0.27.0,<0.29.0"
|
||||
python-dotenv = ">=0.2.0"
|
||||
tiktoken = ">=0.4.0"
|
||||
tokenizers = "*"
|
||||
|
||||
[[package]]
|
||||
name = "lockfile"
|
||||
version = "0.12.2"
|
||||
@@ -2153,13 +2166,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "packaging"
|
||||
version = "23.1"
|
||||
version = "23.2"
|
||||
description = "Core utilities for Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"},
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||||
{file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"},
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||||
{file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
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||||
{file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2407,13 +2420,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
|
||||
|
||||
[[package]]
|
||||
name = "platformdirs"
|
||||
version = "3.10.0"
|
||||
version = "3.11.0"
|
||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "platformdirs-3.10.0-py3-none-any.whl", hash = "sha256:d7c24979f292f916dc9cbf8648319032f551ea8c49a4c9bf2fb556a02070ec1d"},
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||||
{file = "platformdirs-3.10.0.tar.gz", hash = "sha256:b45696dab2d7cc691a3226759c0d3b00c47c8b6e293d96f6436f733303f77f6d"},
|
||||
{file = "platformdirs-3.11.0-py3-none-any.whl", hash = "sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e"},
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||||
{file = "platformdirs-3.11.0.tar.gz", hash = "sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@@ -2476,17 +2489,6 @@ nodeenv = ">=0.11.1"
|
||||
pyyaml = ">=5.1"
|
||||
virtualenv = ">=20.10.0"
|
||||
|
||||
[[package]]
|
||||
name = "priority"
|
||||
version = "2.0.0"
|
||||
description = "A pure-Python implementation of the HTTP/2 priority tree"
|
||||
optional = false
|
||||
python-versions = ">=3.6.1"
|
||||
files = [
|
||||
{file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
|
||||
{file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "prompt-toolkit"
|
||||
version = "3.0.39"
|
||||
@@ -2695,6 +2697,16 @@ typing-extensions = ">=4.2.0"
|
||||
dotenv = ["python-dotenv (>=0.10.4)"]
|
||||
email = ["email-validator (>=1.0.3)"]
|
||||
|
||||
[[package]]
|
||||
name = "pydevd-pycharm"
|
||||
version = "233.6745.319"
|
||||
description = "PyCharm Debugger (used in PyCharm and PyDev)"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pydevd-pycharm-233.6745.319.tar.gz", hash = "sha256:ca8a1408de78be80736e6c88bf0885dbf06c69ed0a631828efffa8eb7a8f5c81"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pyflakes"
|
||||
version = "3.1.0"
|
||||
@@ -2888,6 +2900,7 @@ files = [
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||||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
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||||
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
|
||||
@@ -2895,8 +2908,15 @@ files = [
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||||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
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||||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
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||||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
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||||
@@ -2913,6 +2933,7 @@ files = [
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
|
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@@ -2920,11 +2941,109 @@ files = [
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]
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[[package]]
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||||
name = "regex"
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||||
version = "2023.10.3"
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||||
description = "Alternative regular expression module, to replace re."
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optional = false
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python-versions = ">=3.7"
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files = [
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||||
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||||
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||||
@@ -2981,25 +3100,25 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar
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||||
|
||||
[[package]]
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||||
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||||
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[package.dependencies]
|
||||
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|
||||
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|
||||
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
|
||||
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||||
typing-extensions = "*"
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||||
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[package.extras]
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||||
test = ["build", "pytest", "rich", "wheel"]
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||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
@@ -3125,13 +3244,13 @@ sqlcipher = ["sqlcipher3-binary"]
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||||
|
||||
[[package]]
|
||||
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[package.dependencies]
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||||
@@ -3187,6 +3306,51 @@ files = [
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[package.extras]
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||||
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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[package.dependencies]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3418,28 +3582,17 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3465,13 +3618,13 @@ files = [
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||||
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||||
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||||
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||||
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||||
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||||
[package.dependencies]
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||||
@@ -3648,13 +3801,13 @@ anyio = ">=3.0.0"
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||||
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3837,7 +3990,22 @@ files = [
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||||
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||||
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||||
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "42df91fb0de2d758384ea90d27f31861537fc026dc272d859674f427f5ca8a6c"
|
||||
content-hash = "e061d12c3ca968bbe609768ac2d761c13b2e5596a115fe79f637253800f93498"
|
||||
|
||||
@@ -16,10 +16,11 @@ aiohttp = "^3.8.5"
|
||||
colorlog = "^6.7.0"
|
||||
chromadb = "^0.4.10"
|
||||
agbenchmark = { path = "../../benchmark" }
|
||||
hypercorn = "^0.14.4"
|
||||
python-multipart = "^0.0.6"
|
||||
toml = "^0.10.2"
|
||||
jinja2 = "^3.1.2"
|
||||
uvicorn = "^0.23.2"
|
||||
litellm = "^0.1.821"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
isort = "^5.12.0"
|
||||
@@ -33,6 +34,7 @@ pytest-asyncio = "^0.21.1"
|
||||
watchdog = "^3.0.0"
|
||||
mock = "^5.1.0"
|
||||
autoflake = "^2.2.0"
|
||||
pydevd-pycharm = "^233.6745.319"
|
||||
|
||||
|
||||
[build-system]
|
||||
|
||||
@@ -9,12 +9,15 @@ from typing import Any, Optional
|
||||
import click
|
||||
import pytest
|
||||
import toml
|
||||
from dotenv import load_dotenv
|
||||
from helicone.lock import HeliconeLockManager
|
||||
|
||||
from agbenchmark.app import app
|
||||
from agbenchmark.reports.ReportManager import SingletonReportManager
|
||||
from agbenchmark.utils.data_types import AgentBenchmarkConfig
|
||||
|
||||
load_dotenv()
|
||||
|
||||
BENCHMARK_START_TIME_DT = datetime.now(timezone.utc)
|
||||
BENCHMARK_START_TIME = BENCHMARK_START_TIME_DT.strftime("%Y-%m-%dT%H:%M:%S+00:00")
|
||||
TEMP_FOLDER_ABS_PATH = Path.cwd() / "agbenchmark_config" / "temp_folder"
|
||||
|
||||
@@ -1,16 +1,5 @@
|
||||
# coding: utf-8
|
||||
|
||||
"""
|
||||
Agent Communication Protocol
|
||||
|
||||
Specification of the API protocol for communication with an agent. # noqa: E501
|
||||
|
||||
The version of the OpenAPI document: v0.2
|
||||
Generated by OpenAPI Generator (https://openapi-generator.tech)
|
||||
|
||||
Do not edit the class manually.
|
||||
"""
|
||||
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
@@ -76,7 +65,7 @@ class Artifact(BaseModel):
|
||||
"file_name": obj.get("file_name"),
|
||||
"relative_path": obj.get("relative_path"),
|
||||
"created_at": obj.get("created_at"),
|
||||
"modifed_at": obj.get("modifed_at"),
|
||||
"modified_at": obj.get("modified_at"),
|
||||
"agent_created": obj.get("agent_created"),
|
||||
}
|
||||
)
|
||||
|
||||
@@ -331,15 +331,22 @@ async def proxy(request: Request, task_id: str):
|
||||
|
||||
@router.post("/agent/tasks/{task_id}/evaluations")
|
||||
async def create_evaluation(task_id: str) -> deque:
|
||||
from agbenchmark.__main__ import TEMP_FOLDER_ABS_PATH
|
||||
from agbenchmark.agent_api_interface import copy_agent_artifacts_into_temp_folder
|
||||
from agbenchmark.agent_interface import copy_artifacts_into_temp_folder
|
||||
from agbenchmark.generate_test import create_challenge
|
||||
|
||||
try:
|
||||
async with ApiClient(configuration) as api_client:
|
||||
api_instance = AgentApi(api_client)
|
||||
await copy_agent_artifacts_into_temp_folder(api_instance, task_id)
|
||||
|
||||
# add custom python
|
||||
data = CHALLENGES[task_informations[task_id]["eval_id"]]
|
||||
|
||||
artifact_path = str(Path(data["path"]).parent)
|
||||
copy_artifacts_into_temp_folder(
|
||||
TEMP_FOLDER_ABS_PATH, "custom_python", artifact_path
|
||||
)
|
||||
json_file = CHALLENGES[task_informations[task_id]["eval_id"]]["path"]
|
||||
json_files = deque()
|
||||
|
||||
|
||||
@@ -16,13 +16,9 @@ class TestPasswordGenerator(unittest.TestCase):
|
||||
password_generator.generate_password(17)
|
||||
|
||||
def test_password_content(self):
|
||||
password = password_generator.generate_password(8)
|
||||
self.assertTrue(any(c.islower() for c in password))
|
||||
self.assertTrue(any(c.isupper() for c in password))
|
||||
password = password_generator.generate_password()
|
||||
self.assertTrue(any(c.isdigit() for c in password))
|
||||
self.assertTrue(
|
||||
any(c in password_generator.string.punctuation for c in password)
|
||||
)
|
||||
self.assertTrue(any(c in password_generator.string.punctuation for c in password))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -16,7 +16,7 @@
|
||||
"output.csv"
|
||||
],
|
||||
"should_contain": [
|
||||
"Item, Color\nBanana, Yellow\nLeaf, Green\nSky, Blue\nSunflower, Yellow\nGrass, Green\nJeans, Blue\nLemon, Yellow\nTree, Green\nOcean, Blue\nDaisy, Yellow\nFern, Green"
|
||||
"Item,Color\nBanana,yellow\nLeaf,green\nSky,blue\nSunflower,yellow\nGrass,green\nJeans,blue\nLemon,yellow\nTree,green\nOcean,blue\nDaisy,yellow\nFern,green"
|
||||
]
|
||||
},
|
||||
"info": {
|
||||
|
||||
@@ -49,11 +49,6 @@ class Challenge(ABC):
|
||||
async def setup_challenge(self, config: Dict[str, Any], cutoff: int) -> None:
|
||||
from agbenchmark.agent_interface import copy_artifacts_into_temp_folder
|
||||
|
||||
artifact_paths = [
|
||||
self.ARTIFACTS_LOCATION,
|
||||
str(Path(self.CHALLENGE_LOCATION).parent),
|
||||
]
|
||||
|
||||
if not self.task:
|
||||
return
|
||||
|
||||
@@ -66,6 +61,10 @@ class Challenge(ABC):
|
||||
|
||||
# hidden files are added after the agent runs. Hidden files can be python test files.
|
||||
# We copy them in the temporary folder to make it easy to import the code produced by the agent
|
||||
artifact_paths = [
|
||||
self.ARTIFACTS_LOCATION,
|
||||
str(Path(self.CHALLENGE_LOCATION).parent),
|
||||
]
|
||||
for path in artifact_paths:
|
||||
copy_artifacts_into_temp_folder(TEMP_FOLDER_ABS_PATH, "custom_python", path)
|
||||
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -12,14 +12,14 @@ import time
|
||||
"eval_id, input_text, expected_artifact_length, test_name, should_be_successful",
|
||||
[
|
||||
(
|
||||
"f219f3d3-a41b-45a9-a3d0-389832086ee8",
|
||||
"021c695a-6cc4-46c2-b93a-f3a9b0f4d123",
|
||||
"Write the word 'Washington' to a .txt file",
|
||||
0,
|
||||
"WriteFile",
|
||||
True,
|
||||
),
|
||||
(
|
||||
"021c695a-6cc4-46c2-b93a-f3a9b0f4d123",
|
||||
"f219f3d3-a41b-45a9-a3d0-389832086ee8",
|
||||
"Read the file called file_to_read.txt and write its content to a file called output.txt",
|
||||
1,
|
||||
"ReadFile",
|
||||
|
||||
8
cli.py
8
cli.py
@@ -258,7 +258,8 @@ def create(agent_name):
|
||||
|
||||
@agent.command()
|
||||
@click.argument("agent_name")
|
||||
def start(agent_name):
|
||||
@click.option("--setup", is_flag=True, help="Rebuilds your poetry env")
|
||||
def start(agent_name, setup):
|
||||
"""Start agent command"""
|
||||
import os
|
||||
import subprocess
|
||||
@@ -269,8 +270,9 @@ def start(agent_name):
|
||||
run_bench_command = os.path.join(agent_dir, "run_benchmark")
|
||||
if os.path.exists(agent_dir) and os.path.isfile(run_command) and os.path.isfile(run_bench_command):
|
||||
os.chdir(agent_dir)
|
||||
setup_process = subprocess.Popen(["./setup"], cwd=agent_dir)
|
||||
setup_process.wait()
|
||||
if setup:
|
||||
setup_process = subprocess.Popen(["./setup"], cwd=agent_dir)
|
||||
setup_process.wait()
|
||||
subprocess.Popen(["./run_benchmark", "serve"], cwd=agent_dir)
|
||||
click.echo(f"Benchmark Server starting please wait...")
|
||||
subprocess.Popen(["./run"], cwd=agent_dir)
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -301,7 +301,7 @@
|
||||
"output.csv"
|
||||
],
|
||||
"should_contain": [
|
||||
"Item, Color\nBanana, Yellow\nLeaf, Green\nSky, Blue\nSunflower, Yellow\nGrass, Green\nJeans, Blue\nLemon, Yellow\nTree, Green\nOcean, Blue\nDaisy, Yellow\nFern, Green"
|
||||
"Item,Color\nBanana,yellow\nLeaf,green\nSky,blue\nSunflower,yellow\nGrass,green\nJeans,blue\nLemon,yellow\nTree,green\nOcean,blue\nDaisy,yellow\nFern,green"
|
||||
]
|
||||
},
|
||||
"info": {
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -289,7 +289,7 @@
|
||||
]
|
||||
},
|
||||
"name": "TestRevenueRetrieval2",
|
||||
"task": "Write tesla's revenue every year since its creation into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 billion)."
|
||||
"task": "Write tesla's revenue every year since its creation into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 million)."
|
||||
},
|
||||
"id": "agbenchmark/generate_test.py::TestRevenueRetrieval2::test_method[challenge_data0]",
|
||||
"label": "RevenueRetrieval2",
|
||||
@@ -326,7 +326,7 @@
|
||||
"side_effects": []
|
||||
},
|
||||
"name": "TestRevenueRetrieval",
|
||||
"task": "Write tesla's exact revenue in 2022 into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 billion)."
|
||||
"task": "Write tesla's exact revenue in 2022 into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 million)."
|
||||
},
|
||||
"id": "agbenchmark/generate_test.py::TestRevenueRetrieval::test_method[challenge_data0]",
|
||||
"label": "RevenueRetrieval",
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -301,7 +301,7 @@
|
||||
"output.csv"
|
||||
],
|
||||
"should_contain": [
|
||||
"Item, Color\nBanana, Yellow\nLeaf, Green\nSky, Blue\nSunflower, Yellow\nGrass, Green\nJeans, Blue\nLemon, Yellow\nTree, Green\nOcean, Blue\nDaisy, Yellow\nFern, Green"
|
||||
"Item,Color\nBanana,yellow\nLeaf,green\nSky,blue\nSunflower,yellow\nGrass,green\nJeans,blue\nLemon,yellow\nTree,green\nOcean,blue\nDaisy,yellow\nFern,green"
|
||||
]
|
||||
},
|
||||
"info": {
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -289,7 +289,7 @@
|
||||
]
|
||||
},
|
||||
"name": "TestRevenueRetrieval2",
|
||||
"task": "Write tesla's revenue every year since its creation into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 billion)."
|
||||
"task": "Write tesla's revenue every year since its creation into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 million)."
|
||||
},
|
||||
"id": "agbenchmark/generate_test.py::TestRevenueRetrieval2::test_method[challenge_data0]",
|
||||
"label": "RevenueRetrieval2",
|
||||
@@ -326,7 +326,7 @@
|
||||
"side_effects": []
|
||||
},
|
||||
"name": "TestRevenueRetrieval",
|
||||
"task": "Write tesla's exact revenue in 2022 into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 billion)."
|
||||
"task": "Write tesla's exact revenue in 2022 into a .txt file. Use the US notation, with a precision rounded to the nearest million dollars (for instance, $31,578 million)."
|
||||
},
|
||||
"id": "agbenchmark/generate_test.py::TestRevenueRetrieval::test_method[challenge_data0]",
|
||||
"label": "RevenueRetrieval",
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -15,18 +15,18 @@ const RESOURCES = {"canvaskit/chromium/canvaskit.js": "ffb2bb6484d5689d91f393b60
|
||||
"assets/packages/fluttertoast/assets/toastify.js": "56e2c9cedd97f10e7e5f1cebd85d53e3",
|
||||
"assets/packages/fluttertoast/assets/toastify.css": "a85675050054f179444bc5ad70ffc635",
|
||||
"assets/AssetManifest.json": "1b1e4a4276722b65eb1ef765e2991840",
|
||||
"assets/assets/tree_structure.json": "b02bcc4ece919ab87881adf1fa93a64a",
|
||||
"assets/assets/tree_structure.json": "cda9b1a239f956c547411efad9f7c794",
|
||||
"assets/assets/images/autogpt_logo.png": "6a5362a7d1f2f840e43ee259e733476c",
|
||||
"assets/assets/images/discord_logo.png": "0e4a4162c5de8665a7d63ae9665405ae",
|
||||
"assets/assets/images/google_logo.svg.png": "0e29f8e1acfb8996437dbb2b0f591f19",
|
||||
"assets/assets/images/twitter_logo.png": "af6c11b96a5e732b8dfda86a2351ecab",
|
||||
"assets/assets/images/github_logo.svg.png": "ba087b073efdc4996b035d3a12bad0e4",
|
||||
"assets/assets/general_tree_structure.json": "8ccc68dcb450997d90725263cd434f41",
|
||||
"assets/assets/general_tree_structure.json": "41dfbcdc2349dcdda2b082e597c6d5ee",
|
||||
"assets/assets/google_logo.svg.png": "0e29f8e1acfb8996437dbb2b0f591f19",
|
||||
"assets/assets/data_tree_structure.json": "5345cbc65d032f9493efbee7a6db4f18",
|
||||
"assets/assets/data_tree_structure.json": "5f9627548304155821968182f3883ca7",
|
||||
"assets/assets/github_logo.svg.png": "ba087b073efdc4996b035d3a12bad0e4",
|
||||
"assets/assets/coding_tree_structure.json": "55035cbc2632b71b7c918098a18f38b1",
|
||||
"assets/assets/scrape_synthesize_tree_structure.json": "1643d505221a468f5ff13563c095d12c",
|
||||
"assets/assets/coding_tree_structure.json": "017a857cf3e274346a0a7eab4ce02eed",
|
||||
"assets/assets/scrape_synthesize_tree_structure.json": "a9665c1b465bb0cb939c7210f2bf0b13",
|
||||
"assets/AssetManifest.bin": "791447d17744ac2ade3999c1672fdbe8",
|
||||
"assets/fonts/MaterialIcons-Regular.otf": "d3a39729505cd7ca8dc6fdb10ec0a05f",
|
||||
"assets/NOTICES": "3ae4fa6452f95f6c20d11bef16c75e35",
|
||||
@@ -36,9 +36,9 @@ const RESOURCES = {"canvaskit/chromium/canvaskit.js": "ffb2bb6484d5689d91f393b60
|
||||
"icons/Icon-512.png": "96e752610906ba2a93c65f8abe1645f1",
|
||||
"icons/Icon-192.png": "ac9a721a12bbc803b44f645561ecb1e1",
|
||||
"icons/Icon-maskable-512.png": "301a7604d45b3e739efc881eb04896ea",
|
||||
"index.html": "6fc4b01d75744dcf5440f9090d5b828c",
|
||||
"/": "6fc4b01d75744dcf5440f9090d5b828c",
|
||||
"main.dart.js": "80b22f2ae97c53ef4ffd0d3155796491",
|
||||
"index.html": "7cbc5dff08b70bbceb2147c302baeeec",
|
||||
"/": "7cbc5dff08b70bbceb2147c302baeeec",
|
||||
"main.dart.js": "eb9677eac00c2532c8706037c1444229",
|
||||
"flutter.js": "6fef97aeca90b426343ba6c5c9dc5d4a",
|
||||
"favicon.png": "5dcef449791fa27946b3d35ad8803796",
|
||||
"manifest.json": "0fa552613b8ec0fda5cda565914e3b16"};
|
||||
|
||||
@@ -35,7 +35,7 @@
|
||||
|
||||
<script>
|
||||
// The value below is injected by flutter build, do not touch.
|
||||
const serviceWorkerVersion = "1965317226";
|
||||
const serviceWorkerVersion = "1314887870";
|
||||
</script>
|
||||
<!-- This script adds the flutter initialization JS code -->
|
||||
<script src="flutter.js" defer></script>
|
||||
|
||||
File diff suppressed because one or more lines are too long
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user