diff --git a/src/.chainlit/config.toml b/.chainlit/config.toml similarity index 99% rename from src/.chainlit/config.toml rename to .chainlit/config.toml index d398a5f4..1ab7e81c 100644 --- a/src/.chainlit/config.toml +++ b/.chainlit/config.toml @@ -68,7 +68,7 @@ hide_cot = false # Specify a CSS file that can be used to customize the user interface. # The CSS file can be served from the public directory or via an external link. # custom_css = "/public/test.css" -custom_css = "/public/test.css" +custom_css = "/public/index.css" # Specify a Javascript file that can be used to customize the user interface. # The Javascript file can be served from the public directory. diff --git a/src/.chainlit/translations/en-US.json b/.chainlit/translations/en-US.json similarity index 100% rename from src/.chainlit/translations/en-US.json rename to .chainlit/translations/en-US.json diff --git a/src/.dockerignore b/.dockerignore similarity index 100% rename from src/.dockerignore rename to .dockerignore diff --git a/.env.example b/.env.example new file mode 100644 index 00000000..b565b16c --- /dev/null +++ b/.env.example @@ -0,0 +1,34 @@ +# Database settings +DB_CONNECTION=postgresql+psycopg://postgres:password@vector_db:5432/openagent + +# LLM provider settings (at least one required) +# To get a Google Cloud Vertex project ID, visit: https://console.cloud.google.com/vertex-ai +VERTEX_PROJECT_ID=your_google_cloud_vertex_project_id +# To get an OpenAI API key, sign up at: https://platform.openai.com/signup +OPENAI_API_KEY=your_openai_api_key +# To get a Google Gemini API key, visit: https://ai.google.dev +GOOGLE_GEMINI_API_KEY=your_google_gemini_api_key +# For Ollama, download and install from: https://github.com/ollama/ollama +OLLAMA_HOST=http://ollama:11434 + +# Optional API keys for additional features +# Sign up for NFTScan API key at: https://developer.nftscan.com/ +NFTSCAN_API_KEY=your_nftscan_api_key +# Get your Tavily API key at: https://www.tavily.com/ +TAVILY_API_KEY=your_tavily_api_key +# Get your Covalent API key at: https://www.covalenthq.com/platform/auth/register/ +COVALENT_API_KEY=your_covalent_api_key +# Register for a RootData API key at: https://www.rootdata.com/ +ROOTDATA_API_KEY=your_rootdata_api_key +# Sign up for a CoinGecko API key at: https://www.coingecko.com/en/api/pricing +COINGECKO_API_KEY=your_coingecko_api_key +# RSS3 API URLs (default values provided, change if needed) +RSS3_DATA_API=https://gi.rss3.io +RSS3_SEARCH_API=https://devnet.rss3.io/search + +# Chainlit OAuth settings (all fields must be set if using OAuth, otherwise leave them empty) +# For Auth0 setup, visit: https://docs.chainlit.io/authentication/oauth +CHAINLIT_AUTH_SECRET= +OAUTH_AUTH0_CLIENT_ID= +OAUTH_AUTH0_CLIENT_SECRET= +OAUTH_AUTH0_DOMAIN= diff --git a/.github/workflows/build-docker-images.yml b/.github/workflows/build-docker-images.yml index 1b832cfe..b81cd1eb 100644 --- a/.github/workflows/build-docker-images.yml +++ b/.github/workflows/build-docker-images.yml @@ -44,7 +44,7 @@ jobs: id: build uses: docker/build-push-action@v5 with: - context: ./src + context: . platforms: ${{ matrix.platform }} labels: ${{ steps.meta.outputs.labels }} outputs: type=image,name=rss3/openagent,push-by-digest=true,name-canonical=true,push=true diff --git a/.gitignore b/.gitignore index b7923313..e053a828 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,276 @@ -.DS_Store +#map_cache +map_cache_* -.idea/ +### VisualStudioCode template +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +!.vscode/*.code-snippets + +# Local History for Visual Studio Code +.history/ + +# Built Visual Studio Code Extensions +*.vsix + +### JetBrains template +# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider +# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839 + +# User-specific stuff +.idea/**/workspace.xml +.idea/**/tasks.xml +.idea/**/usage.statistics.xml +.idea/**/dictionaries +.idea/**/shelf + +# AWS User-specific +.idea/**/aws.xml + +# Generated files +.idea/**/contentModel.xml + +# Sensitive or high-churn files +.idea/**/dataSources/ +.idea/**/dataSources.ids +.idea/**/dataSources.local.xml +.idea/**/sqlDataSources.xml +.idea/**/dynamic.xml +.idea/**/uiDesigner.xml +.idea/**/dbnavigator.xml + +# Gradle +.idea/**/gradle.xml +.idea/**/libraries + +# Gradle and Maven with auto-import +# When using Gradle or Maven with auto-import, you should exclude module files, +# since they will be recreated, and may cause churn. Uncomment if using +# auto-import. +# .idea/artifacts +# .idea/compiler.xml +# .idea/jarRepositories.xml +# .idea/modules.xml +# .idea/*.iml +# .idea/modules +# *.iml +# *.ipr + +# CMake +cmake-build-*/ + +# Mongo Explorer plugin +.idea/**/mongoSettings.xml + +# File-based project format +*.iws + +# IntelliJ +out/ + +# mpeltonen/sbt-idea plugin +.idea_modules/ + +# JIRA plugin +atlassian-ide-plugin.xml + +# Cursive Clojure plugin +.idea/replstate.xml + +# SonarLint plugin +.idea/sonarlint/ + +# Crashlytics plugin (for Android Studio and IntelliJ) +com_crashlytics_export_strings.xml +crashlytics.properties +crashlytics-build.properties +fabric.properties + +# Editor-based Rest Client +.idea/httpRequests + +# Android studio 3.1+ serialized cache file +.idea/caches/build_file_checksums.ser + +### dotenv template +.env + +### Linux template +*~ + +# temporary files which can be created if a process still has a handle open of a deleted file +.fuse_hidden* + +# KDE directory preferences +.directory + +# Linux trash folder which might appear on any partition or disk +.Trash-* + +# .nfs files are created when an open file is removed but is still being accessed +.nfs* + +chainlit.md +### Python template +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d20a0db5..150267c0 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,30 +3,21 @@ repos: rev: v4.4.0 hooks: - id: check-ast - files: ^src/ - id: check-case-conflict - files: ^src/ - id: check-docstring-first - files: ^src/ - id: check-executables-have-shebangs - files: ^src/ - id: check-json - files: ^src/ - id: check-added-large-files - files: ^src/ - id: pretty-format-json args: - "--autofix" - "--indent=4" - files: ^src/ + - id: detect-private-key - files: ^src/ - id: debug-statements - files: ^src/ - id: end-of-file-fixer - files: ^src/ - id: trailing-whitespace - files: ^src/ + - repo: local hooks: - id: mypy @@ -35,20 +26,17 @@ repos: require_serial: true language: system types: [ python ] - files: ^src/ pass_filenames: false - args: [--config-file=src/pyproject.toml] + args: [ --config-file=pyproject.toml ] - id: ruff-lint name: ruff-lint entry: ruff check --fix require_serial: true language: system - files: ^src/ types: [ python ] - id: ruff-format name: ruff-format entry: ruff format require_serial: true language: system - files: ^src/ types: [ python ] diff --git a/src/Dockerfile b/Dockerfile similarity index 100% rename from src/Dockerfile rename to Dockerfile diff --git a/OpenAgent.svg b/OpenAgent.svg index 45ab5dbd..ad581296 100644 --- a/OpenAgent.svg +++ b/OpenAgent.svg @@ -1 +1 @@ - \ No newline at end of file + diff --git a/chainlit.md b/chainlit.md new file mode 100644 index 00000000..13bf52ed --- /dev/null +++ b/chainlit.md @@ -0,0 +1,5 @@ +# OpenAgent Framework + +OpenAgent is a framework for building AI applications leveraging the power of blockchains and RSS3 Network. + +For more information, please visit the [OpenAgent docs](https://docs.rss3.io/guide/artificial-intelligence/openagent). diff --git a/src/docker-compose.yml b/docker-compose.yml similarity index 100% rename from src/docker-compose.yml rename to docker-compose.yml diff --git a/src/main.py b/main.py similarity index 66% rename from src/main.py rename to main.py index b6fd84f4..8b311dd6 100644 --- a/src/main.py +++ b/main.py @@ -5,4 +5,4 @@ if __name__ == "__main__": load_dotenv() logger.info("Starting OpenAgent") - uvicorn.run("openagent.app:app", host="0.0.0.0", reload=False, port=8000) + uvicorn.run("openagent.app:app", host="localhost", reload=False, port=8000) diff --git a/src/openagent/__init__.py b/openagent/__init__.py similarity index 100% rename from src/openagent/__init__.py rename to openagent/__init__.py diff --git a/src/openagent/agent/__init__.py b/openagent/agents/__init__.py similarity index 100% rename from src/openagent/agent/__init__.py rename to openagent/agents/__init__.py diff --git a/openagent/agents/agent_factory.py b/openagent/agents/agent_factory.py new file mode 100644 index 00000000..25094e47 --- /dev/null +++ b/openagent/agents/agent_factory.py @@ -0,0 +1,16 @@ +from langchain.agents import AgentExecutor, create_tool_calling_agent +from langchain_core.language_models import BaseChatModel +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder + + +def create_agent(llm: BaseChatModel, tools: list, system_prompt: str): + prompt = ChatPromptTemplate.from_messages( + [ + ("system", system_prompt), + MessagesPlaceholder(variable_name="messages"), + MessagesPlaceholder(variable_name="agent_scratchpad"), + ] + ) + agent = create_tool_calling_agent(llm, tools, prompt) + executor = AgentExecutor(agent=agent, tools=tools, verbose=True) + return executor diff --git a/openagent/agents/asset_management.py b/openagent/agents/asset_management.py new file mode 100644 index 00000000..db12b6cf --- /dev/null +++ b/openagent/agents/asset_management.py @@ -0,0 +1,32 @@ +from dotenv import load_dotenv + +from openagent.agents.agent_factory import create_agent +from openagent.conf.llm_provider import get_current_llm +from openagent.executors.nft_balance_executor import NFTBalanceExecutor +from openagent.executors.swap_executor import SwapExecutor +from openagent.executors.token_balance_executor import TokenBalanceExecutor +from openagent.executors.transfer_executor import TransferExecutor + +load_dotenv() + +asset_management_agent = create_agent( + get_current_llm(), + [TokenBalanceExecutor(), NFTBalanceExecutor(), SwapExecutor(), TransferExecutor()], + """ +You are AssetManager, an AI assistant for crypto asset management. Your responsibilities include: + +1. Query and report on users' token balances +2. Check and inform about users' NFT holdings +3. Generate cross-chain swap widgets for users +4. Generate transfer widgets for users + +When interacting with users: +- Provide accurate and detailed information +- Maintain a friendly and enthusiastic tone +- Use occasional puns or jokes to keep the conversation engaging +- Include relevant emojis to enhance your messages +- For privacy reasons, do not include address information when generating widgets + +Prioritize clarity and efficiency in your responses while keeping the interaction enjoyable for the user. +""".strip(), +) diff --git a/openagent/agents/block_explore.py b/openagent/agents/block_explore.py new file mode 100644 index 00000000..250c0f2b --- /dev/null +++ b/openagent/agents/block_explore.py @@ -0,0 +1,21 @@ +from dotenv import load_dotenv + +from openagent.agents.agent_factory import create_agent +from openagent.conf.llm_provider import get_current_llm +from openagent.executors.block_stat_executor import BlockStatExecutor +from openagent.executors.tavily_executor import tavily_executor + +load_dotenv() + +block_explorer_agent = create_agent( + get_current_llm(), + [BlockStatExecutor(), tavily_executor], + """ +You are BlockExplorer, dedicated to exploring and presenting detailed blockchain information. +Help users query transaction details, block data, gas fees, block height, and other blockchain-related information. +Use the available tools to gather and display accurate blockchain data. + +Your answer should be detailed and include puns or jokes where possible \ +And keep a lively, enthusiastic, and energetic tone, maybe include some emojis. +""".strip(), +) diff --git a/openagent/agents/fallback.py b/openagent/agents/fallback.py new file mode 100644 index 00000000..4e2d0cf5 --- /dev/null +++ b/openagent/agents/fallback.py @@ -0,0 +1,52 @@ +from langchain_core.messages import HumanMessage +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import ChatPromptTemplate +from loguru import logger + +from openagent.conf.llm_provider import get_current_llm + + +def fallback(state): + logger.info("Running fallback agent") + + chat_template = ChatPromptTemplate.from_messages( + [ + ( + "system", + """ +You are the OpenAgent created by RSS3. + +Your role: +1. Handle general queries and conversations that don't fall under the expertise of other specialized agents. +2. Clarify unclear requests and provide versatile assistance. +3. Maintain conversation continuity and guide users to appropriate specialists when necessary. + +Your communication style: +- Be friendly, approachable, and enthusiastic in your responses. +- Use a mix of professional knowledge and casual charm. +- Include relevant puns, jokes, or word plays to keep the conversation lively. +- Sprinkle in emojis occasionally to add personality to your messages. +- Provide detailed answers, but keep them concise and easy to understand. + +Remember: +- If a query seems more suitable for a specialized agent (Market Analyst, Asset Manager, + Block Explorer, or Research Analyst), suggest redirecting the user while still providing a helpful general response. +- Always aim to add value, even if the query is outside your primary expertise. +- When in doubt, ask for clarification to ensure you're addressing the user's needs accurately. + +Let's make every interaction informative, fun, and memorable! 🚀✨ + """.strip(), + ), + *state["messages"][0:-1], + ("human", "{input}"), + ] + ) + chain = chat_template | get_current_llm() | StrOutputParser() + return { + "messages": [ + HumanMessage( + content=chain.invoke({"input": state["messages"][-1].content}), + name="fallback", + ) + ] + } diff --git a/openagent/agents/feed_explore.py b/openagent/agents/feed_explore.py new file mode 100644 index 00000000..455cb6d3 --- /dev/null +++ b/openagent/agents/feed_explore.py @@ -0,0 +1,29 @@ +from dotenv import load_dotenv + +from openagent.agents.agent_factory import create_agent +from openagent.conf.llm_provider import get_current_llm +from openagent.executors.defi_executor import DeFiExecutor +from openagent.executors.feed_executor import FeedExecutor +from openagent.executors.feed_source_executor import FeedSourceExecutor + +load_dotenv() + +feed_explorer_agent = create_agent( + get_current_llm(), + [FeedExecutor(), FeedSourceExecutor(), DeFiExecutor()], + """ +You are FeedExplorer, dedicated to exploring and presenting blockchain-related +activities and feeds. +Help users query various feeds, retrieve activities from different sources, and provide +insights on DeFi activities. + +Leverage the FeedExecutor to provide insights on various feeds, the FeedSourceExecutor +to retrieve activities based on different sources, and the DeFiExecutor to give detailed +information on DeFi activities. + +Use the available tools to gather and display accurate feed and activity data. + +Your answer should be detailed and include puns or jokes where possible \ +And keep a lively, enthusiastic, and energetic tone, maybe include some emojis. +""".strip(), +) diff --git a/openagent/agents/market_analysis.py b/openagent/agents/market_analysis.py new file mode 100644 index 00000000..468bd553 --- /dev/null +++ b/openagent/agents/market_analysis.py @@ -0,0 +1,25 @@ +from dotenv import load_dotenv + +from openagent.agents.agent_factory import create_agent +from openagent.conf.llm_provider import get_current_llm +from openagent.executors.coin_market_executor import CoinMarketExecutor +from openagent.executors.funding_rate_executor import FundingRateExecutor +from openagent.executors.nft_rank_executor import NFTRankingExecutor +from openagent.executors.nft_search_executor import NFTSearchExecutor +from openagent.executors.price_executor import PriceExecutor +from openagent.executors.tavily_executor import tavily_executor + +load_dotenv() +llm = get_current_llm() + +market_analysis_agent = create_agent( + llm, + [tavily_executor, PriceExecutor(), FundingRateExecutor(), NFTSearchExecutor(), NFTRankingExecutor(), CoinMarketExecutor()], + """ +You are MarketAnalyst, responsible for providing market data analysis. +Help users understand market dynamics and trends by retrieving real-time price information of tokens. + +Your answer should be detailed and include puns or jokes where possible \ +And keep a lively, enthusiastic, and energetic tone, maybe include some emojis. +""".strip(), +) diff --git a/openagent/agents/project_management.py b/openagent/agents/project_management.py new file mode 100644 index 00000000..14bf7de4 --- /dev/null +++ b/openagent/agents/project_management.py @@ -0,0 +1,22 @@ +from dotenv import load_dotenv + +from openagent.agents.agent_factory import create_agent +from openagent.conf.llm_provider import get_current_llm +from openagent.executors.project_executor import ProjectExecutor +from openagent.executors.tavily_executor import tavily_executor + +load_dotenv() +llm = get_current_llm() + +research_analyst_agent = create_agent( + llm, + [ProjectExecutor(), tavily_executor], + """ +You are ResearchAnalyst, responsible for assisting users in conducting research and analysis related to web3 projects. + Provide accurate and detailed information about project progress, team members, market trends, investors, + and other relevant data to support investment decisions. + +Your answer should be detailed and include puns or jokes where possible \ +And keep a lively, enthusiastic, and energetic tone, maybe include some emojis. +""".strip(), +) diff --git a/src/openagent/app.py b/openagent/app.py similarity index 62% rename from src/openagent/app.py rename to openagent/app.py index 1dce19ae..2418e0c5 100644 --- a/src/openagent/app.py +++ b/openagent/app.py @@ -5,14 +5,15 @@ from dotenv import load_dotenv from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware +from langchain_core.messages import HumanMessage from loguru import logger from pydantic import BaseModel from sse_starlette import EventSourceResponse from starlette import status -from starlette.responses import JSONResponse +from starlette.responses import FileResponse, JSONResponse from starlette.staticfiles import StaticFiles -from openagent.agent.function_agent import get_agent +from openagent.workflows.workflow import build_workflow load_dotenv() app = FastAPI(title="OpenAgent", description="") @@ -26,21 +27,36 @@ ) -@app.get("/health", status_code=status.HTTP_200_OK) +@app.get("/health", status_code=status.HTTP_200_OK, include_in_schema=False) async def health_check(): return JSONResponse(content={"status": "ok"}) +@app.get("/widget/swap", include_in_schema=False) +async def swap_root(): + return FileResponse(os.path.join("dist", "index.html")) + + +@app.get("/widget/price-chart", include_in_schema=False) +async def chart_price_root(): + return FileResponse(os.path.join("dist", "index.html")) + + +@app.get("/widget/transfer", include_in_schema=False) +async def transfer_root(): + return FileResponse(os.path.join("dist", "index.html")) + + class Input(BaseModel): text: str @app.post("/api/stream_chat", description="streaming chat api for openagent") async def outline_creation(req: Input): - agent = get_agent("openagent") + agent = build_workflow() async def stream(): - async for event in agent.astream_events({"input": req.text}, version="v1"): + async for event in agent.astream_events({"messages": [HumanMessage(content=req.text)]}, version="v1"): kind = event["event"] if kind == "on_chat_model_stream": yield json.dumps(event["data"]["chunk"].dict(), ensure_ascii=False) @@ -57,11 +73,6 @@ async def stream(): except OSError as e: logger.error(f"Error creating directory {static_dir}: {e}") -# Mount static files directory -try: - app.mount("/static", StaticFiles(directory=static_dir), name="widget") - logger.info(f"Successfully mounted static files from {static_dir}") -except Exception as e: - logger.error(f"Error mounting static files: {e}") +app.mount("/static", StaticFiles(directory=static_dir), name="widget") mount_chainlit(app=app, target="openagent/ui/app.py", path="") diff --git a/src/openagent/conf/__init__.py b/openagent/conf/__init__.py similarity index 100% rename from src/openagent/conf/__init__.py rename to openagent/conf/__init__.py diff --git a/openagent/conf/env.py b/openagent/conf/env.py new file mode 100644 index 00000000..57591e9d --- /dev/null +++ b/openagent/conf/env.py @@ -0,0 +1,37 @@ +from typing import Optional + +from dotenv import load_dotenv +from pydantic import Field +from pydantic_settings import BaseSettings + +load_dotenv() + + +class Settings(BaseSettings): + DB_CONNECTION: str = Field(..., description="Database connection string") + + # LLM provider settings (at least one required) + VERTEX_PROJECT_ID: Optional[str] = Field( + default=None, description="Google Cloud Vertex project ID. Info: https://cloud.google.com/vertex-ai/docs/reference" + ) + OPENAI_API_KEY: Optional[str] = Field(default=None, description="OpenAI API Key. Info: https://platform.openai.com") + GOOGLE_GEMINI_API_KEY: Optional[str] = Field(default=None, description="Google Gemini API Key. Info: https://ai.google.dev") + OLLAMA_HOST: Optional[str] = Field(default=None, description="OLLAMA API Base URL. Info: https://github.com/ollama/ollama") + + # API keys for various tools; some features will be disabled if not set + TAVILY_API_KEY: Optional[str] = Field(default=None, description="Tavily API Key. Info: https://tavily.com/") + NFTSCAN_API_KEY: Optional[str] = Field(default=None, description="NFTScan API Key. Info: https://nftscan.com/") + COVALENT_API_KEY: Optional[str] = Field(default=None, description="Covalent API Key. Info: https://goldrush.dev/docs/api/") + ROOTDATA_API_KEY: Optional[str] = Field(default=None, description="RootData API Key. Info: https://www.rootdata.com/") + COINGECKO_API_KEY: Optional[str] = Field(default=None, description="CoinGecko API Key. Info: https://www.coingecko.com/en/api/pricing") + RSS3_DATA_API: str = Field(default="https://gi.rss3.io", description="RSS3 Data API URL") + RSS3_SEARCH_API: str = Field(default="https://devnet.rss3.io/search", description="RSS3 Search API URL") + + # Chainlit OAuth settings; either all fields are None or all are set + CHAINLIT_AUTH_SECRET: Optional[str] = Field(default=None, description="Chainlit Auth Secret") + OAUTH_AUTH0_CLIENT_ID: Optional[str] = Field(default=None, description="OAuth Auth0 Client ID") + OAUTH_AUTH0_CLIENT_SECRET: Optional[str] = Field(default=None, description="OAuth Auth0 Client Secret") + OAUTH_AUTH0_DOMAIN: Optional[str] = Field(default=None, description="OAuth Auth0 Domain") + + +settings = Settings() diff --git a/openagent/conf/llm_provider.py b/openagent/conf/llm_provider.py new file mode 100644 index 00000000..90cdeb77 --- /dev/null +++ b/openagent/conf/llm_provider.py @@ -0,0 +1,100 @@ +from contextvars import ContextVar +from typing import Dict, List + +import ollama +from langchain_core.language_models import BaseChatModel +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_google_vertexai import ChatVertexAI +from langchain_ollama import ChatOllama +from langchain_openai import ChatOpenAI +from loguru import logger +from toolz import memoize + +from openagent.conf.env import settings + +TOOL_CALL_MODELS = [ + "llama3.1", + "mistral-nemo", + "mistral", + "mistral-large", + "mixtral", + "command-r-plus", + "deepseek-coder-v2", + "llama3-groq-tool-use", + "firefunction-v2", +] + + +@memoize +def get_available_ollama_providers() -> List[str]: + try: + ollama_list = ollama.list() + models_ = [model["name"].split(":")[0] for model in ollama_list["models"]] + return [model for model in models_ if model in TOOL_CALL_MODELS] + except Exception: + logger.warning("Failed to get available ollama providers") + return [] + + +def get_provider(model: str, provider_func) -> Dict[str, BaseChatModel]: + provider = provider_func(model) + return {model: provider} if provider else {} + + +def get_available_providers() -> Dict[str, BaseChatModel]: + providers = {} + + provider_configs = [ + (["gpt-3.5-turbo", "gpt-4o-mini", "gpt-4o"], get_openai_provider), + (["gemini-1.5-pro", "gemini-1.5-flash"], get_gemini_provider), + ] + + for models, provider_func in provider_configs: + for model in models: + providers.update(get_provider(model, provider_func)) + + if settings.OLLAMA_HOST: + ollama_models = get_available_ollama_providers() + for model in ollama_models: + providers.update(get_provider(model, get_ollama_provider)) + + return providers + + +def get_openai_provider(model: str) -> BaseChatModel | None: + return ChatOpenAI(model=model) if settings.OPENAI_API_KEY else None + + +def get_gemini_provider(model: str) -> BaseChatModel | None: + if settings.VERTEX_PROJECT_ID: + return ChatVertexAI(model=model) + elif settings.GOOGLE_GEMINI_API_KEY: + return ChatGoogleGenerativeAI(model=model, google_api_key=settings.GOOGLE_GEMINI_API_KEY) + return None + + +def get_ollama_provider(model: str) -> BaseChatModel | None: + return ChatOllama(model=model) if settings.OLLAMA_HOST else None + + +_current_llm_provider: ContextVar[BaseChatModel | None] = ContextVar("current_llm_provider", default=None) + + +def set_current_llm(provider_name: str) -> None: + logger.info(f"Setting current LLM provider to {provider_name}") + providers = get_available_providers() + _current_llm_provider.set(providers.get(provider_name)) + + +def get_current_llm() -> BaseChatModel: + llm = _current_llm_provider.get() + if llm is None: + available_providers = get_available_providers() + if available_providers: + first_provider = next(iter(available_providers.items())) + logger.warning(f"No LLM provider is set. Using the {first_provider[0]} provider.") + llm = first_provider[1] + else: + logger.error("No LLM provider is available.") + raise ValueError("No LLM provider is available.") + return llm diff --git a/src/openagent/db/__init__.py b/openagent/db/__init__.py similarity index 100% rename from src/openagent/db/__init__.py rename to openagent/db/__init__.py diff --git a/src/openagent/db/database.py b/openagent/db/database.py similarity index 75% rename from src/openagent/db/database.py rename to openagent/db/database.py index 54673dfe..057555b4 100644 --- a/src/openagent/db/database.py +++ b/openagent/db/database.py @@ -3,7 +3,7 @@ from sqlalchemy_utils import create_database, database_exists from openagent.conf.env import settings -from openagent.db.models import Base, User +from openagent.db.models import Base url = settings.DB_CONNECTION @@ -13,8 +13,3 @@ Base.metadata.create_all(bind=engine) # type: ignore DBSession = sessionmaker(bind=engine) - - -if __name__ == "__main__": - with DBSession() as sess: - print(sess.query(User).all()) diff --git a/src/openagent/db/models.py b/openagent/db/models.py similarity index 54% rename from src/openagent/db/models.py rename to openagent/db/models.py index 4ee07ac3..2d7029b7 100644 --- a/src/openagent/db/models.py +++ b/openagent/db/models.py @@ -1,58 +1,12 @@ import uuid -from sqlalchemy import ARRAY, JSON, Boolean, Column, DateTime, Integer, String, Text +from sqlalchemy import ARRAY, JSON, Boolean, Column, Integer, Text from sqlalchemy.dialects.postgresql import UUID from sqlalchemy.orm import declarative_base -from sqlalchemy.sql import func - -from openagent.dto.task import TaskStatus Base = declarative_base() # type: ignore -class ChatHistory(Base): # type: ignore - __tablename__ = "chat_history" - - id = Column(Integer, primary_key=True, autoincrement=True) - user_id = Column(String(255), nullable=False) - session_id = Column(String(255), nullable=False) - message_id = Column(String(255), nullable=False) - message = Column(Text, nullable=False) - send_at = Column(DateTime(timezone=True), server_default=func.now()) - - -class ChatSession(Base): # type: ignore - __tablename__ = "chat_session" - - id = Column(Integer, primary_key=True, autoincrement=True) - user_id = Column(String(255), nullable=False) - session_id = Column(String(255), nullable=False, unique=True) - title = Column(String(255), nullable=True) - created_at = Column(DateTime(timezone=True), server_default=func.now()) - deleted_at = Column(DateTime(timezone=True), nullable=True) - parent_id = Column(String(255), nullable=True, default=None) - order = Column(Integer, nullable=True, default=0) - type = Column(String(255), nullable=True, default="session") - tab = Column(String(255), nullable=True, default="recent") - - -class Task(Base): # type: ignore - __tablename__ = "task" - - id = Column(Integer, primary_key=True, autoincrement=True) - user_id = Column(String(255), nullable=False) - session_id = Column(String(255), nullable=False) - task_id = Column(String(255), nullable=False, unique=True) - type = Column(String(255), nullable=False) - body = Column(Text, nullable=False) - status = Column(String(255), nullable=False, default=TaskStatus.running) - created_at = Column(DateTime(timezone=True), server_default=func.now()) - run_at = Column(DateTime(timezone=True), nullable=True) - done_at = Column(DateTime(timezone=True), nullable=True) - hash = Column(String(255), nullable=True) - is_notified = Column(Boolean, nullable=False, default=False) - - class User(Base): # type: ignore __tablename__ = "users" id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) diff --git a/src/openagent/dto/__init__.py b/openagent/executors/__init__.py similarity index 100% rename from src/openagent/dto/__init__.py rename to openagent/executors/__init__.py diff --git a/openagent/executors/block_stat_executor.py b/openagent/executors/block_stat_executor.py new file mode 100644 index 00000000..688e935c --- /dev/null +++ b/openagent/executors/block_stat_executor.py @@ -0,0 +1,65 @@ +from typing import Optional, Type + +import ccxt +import requests +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + + +class ARGS(BaseModel): + chain: str = Field( + description="The blockchain to fetch statistics for. " + "Options: ethereum, bitcoin, bitcoin-cash, litecoin," + " bitcoin-sv, dogecoin, dash, groestlcoin," + " zcash, ecash, bitcoin/testnet" + ) + + +class BlockStatExecutor(BaseTool): + name = "BlockChainStatExecutor" + description = ( + "get blockchain statistics such as block height, " + "transaction count, gas fees, and more. " + "Supported blockchains include ethereum, Bitcoin, Bitcoin Cash, " + "Litecoin, Bitcoin SV, Dogecoin, Dash, Groestlcoin, Zcash, eCash, " + "and Bitcoin Testnet." + ) + args_schema: Type[ARGS] = ARGS + + def _run( + self, + chain: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return fetch_stat(chain) + + async def _arun( + self, + chain: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return fetch_stat(chain) + + +_exchanges = [ccxt.binance(), ccxt.okx(), ccxt.gateio(), ccxt.mexc()] + + +def fetch_stat(chain) -> str: + url = f"https://api.blockchair.com/{chain}/stats" + + headers = {"accept": "application/json"} + + response = requests.get(url, headers=headers) + + if response.status_code == 200: + return response.json() + else: + return f"Error fetching data: {response.status_code}, {response.text}" + + +if __name__ == "__main__": + print(fetch_stat("ethereum")) diff --git a/openagent/executors/coin_market_executor.py b/openagent/executors/coin_market_executor.py new file mode 100644 index 00000000..2fb5a798 --- /dev/null +++ b/openagent/executors/coin_market_executor.py @@ -0,0 +1,75 @@ +import json +from typing import Optional, Type + +import requests +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class ARGS(BaseModel): + order: str = Field( + description="sort result by field, default: market_cap_desc. options: market_cap_desc," "market_cap_asc,volume_desc,volume_asc" + ) + size: int = Field(description="number of coins to return, default: 20") + + +class CoinMarketExecutor(BaseTool): + name = "CoinMarketExecutor" + + description = "query coins sorted by market cap, volume." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + order: str, + size: int, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + if settings.COINGECKO_API_KEY is None: + return "Please set COINGECKO_API_KEY in the environment" + return json.dumps(fetch_coins_with_market(order, size)) + + async def _arun( + self, + order: str, + size: int, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + if settings.COINGECKO_API_KEY is None: + return "Please set COINGECKO_API_KEY in the environment" + return json.dumps(fetch_coins_with_market(order, size)) + + +def fetch_coins_with_market(order: str, size: int = 20) -> list: + url = f"https://pro-api.coingecko.com/api/v3/coins/markets?vs_currency=usd&order={order}&per_page={size}" + + headers = { + "accept": "application/json", + "x-cg-pro-api-key": settings.COINGECKO_API_KEY, + } + + response = requests.get(url, headers=headers) + + res = json.loads(response.text) + return list( + map( + lambda x: { + "symbol": x["symbol"], + "name": x["name"], + "current_price": x["current_price"], + "fully_diluted_valuation": x["fully_diluted_valuation"], + "total_volume": x["total_volume"], + }, + res, + ) + ) + + +if __name__ == "__main__": + print(fetch_coins_with_market("market_cap_desc")) diff --git a/openagent/executors/defi_executor.py b/openagent/executors/defi_executor.py new file mode 100644 index 00000000..a3036718 --- /dev/null +++ b/openagent/executors/defi_executor.py @@ -0,0 +1,104 @@ +from typing import Optional, Type + +from langchain.callbacks.manager import AsyncCallbackManagerForToolRun +from langchain.tools import BaseTool +from loguru import logger +from pydantic import BaseModel, Field +from rss3_dsl_sdk.client import RSS3Client +from rss3_dsl_sdk.schemas.base import ActivityFilter, PaginationOptions + +from openagent.executors.feed_prompt import FEED_PROMPT + +# Define the defi activities and common DeFi networks +SUPPORTED_NETWORKS = ["arbitrum", "avax", "base", "binance-smart-chain", "ethereum", "gnosis", "linea", "optimism", "polygon"] +DEFI_ACTIVITIES = ["swap", "liquidity", "staking", "all"] + + +# Define the schema for input parameters +class ParamSchema(BaseModel): + """ + Defines the schema for input parameters of the DeFiExecutor tool. + """ + + address: str = Field(description="Wallet address or blockchain domain name (e.g., vitalik.eth)") + activity_type: str = Field(description=f"Type of DeFi activity. Supported types: {', '.join(DEFI_ACTIVITIES)}") + network: Optional[str] = Field(default=None, description=f"Network for activities. Supported: {', '.join(SUPPORTED_NETWORKS)}") + + +class DeFiExecutor(BaseTool): + """ + A tool for fetching and analyzing DeFi activities across various networks. + """ + + name = "DeFiExecutor" + description = "Use this tool to get the user's DeFi activities (swaps, liquidity provision, staking, all) across various networks." + args_schema: Type[ParamSchema] = ParamSchema + + async def _run( + self, + address: str, + activity_type: str, + network: Optional[str] = None, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + raise NotImplementedError + + async def _arun(self, address: str, activity_type: str, network: Optional[str] = None) -> str: + """ + Asynchronously run the DeFi activity fetching process. + + :param address: The wallet address to fetch activities for + :param activity_type: The type of DeFi activity to fetch, now supports "swap", "liquidity", "staking" + :param network: network to filter activities (OPTIONAL) + :return: A string containing the fetched DeFi activities or an error message + """ + return await self.fetch_defi_feeds(address, network, activity_type) + + async def fetch_defi_feeds(self, address: str, network: Optional[str] = None, activity_type: Optional[str] = None): + """ + Fetch DeFi feed activities for a given address, optionally filtered by network and activity type. + + :param address: The wallet address to fetch activities for + :param network: network to filter activities (Optional) + :param activity_type: The type of DeFi activity to fetch + :return: A string containing the fetched DeFi activities or an error message + """ + # Validate activity type + if activity_type.lower() not in DEFI_ACTIVITIES: + return f"Error: Unsupported activity type '{activity_type}'. Choose from: {', '.join(DEFI_ACTIVITIES)}" + + # Validate network if provided + if network and network.lower() not in map(str.lower, SUPPORTED_NETWORKS): + return f"Error: Unsupported network '{network}'. Choose from: {', '.join(SUPPORTED_NETWORKS)}" + + try: + client = RSS3Client() + filters = ActivityFilter(network=[network] if network else None) + pagination = PaginationOptions(limit=10, action_limit=10) + + # Handle 'all' activity type + if activity_type == "all": + activities = [] + for act_type in ["swap", "liquidity", "staking"]: + fetch_method = getattr(client, f"fetch_exchange_{act_type}_activities") + act_results = fetch_method(account=address, filters=filters, pagination=pagination) + activities.extend(act_results.data) + else: + fetch_method = getattr(client, f"fetch_exchange_{activity_type}_activities") + activities_result = fetch_method(account=address, filters=filters, pagination=pagination) + activities = activities_result.data + + # Check if any activities were found + if not activities: + return ( + f"No {'DeFi' if activity_type == 'all' else activity_type} activities found for {address}{' on ' + network if network else ''}." + ) + + # Format the result + activities_data = [activity.model_dump() for activity in activities] + result = FEED_PROMPT.format(activities_data=activities_data, activity_type="DeFi" if activity_type == "all" else activity_type) + return result + + except Exception as e: + logger.error(f"Error fetching DeFi activities: {e}") + return f"Error: Unable to fetch data. {e}" diff --git a/src/openagent/experts/feed_expert.py b/openagent/executors/feed_executor.py similarity index 63% rename from src/openagent/experts/feed_expert.py rename to openagent/executors/feed_executor.py index eecf88d1..79a45a74 100644 --- a/src/openagent/experts/feed_expert.py +++ b/openagent/executors/feed_executor.py @@ -9,11 +9,15 @@ from loguru import logger from pydantic import BaseModel, Field -from openagent.agent.system_prompt import FEED_PROMPT from openagent.conf.env import settings +from openagent.executors.feed_prompt import FEED_PROMPT class ParamSchema(BaseModel): + """ + Defines the schema for input parameters of the FeedExecutor tool. + """ + address: str = Field( description="""wallet address or blockchain domain name,\ hint: vitalik's address is vitalik.eth""" @@ -25,7 +29,11 @@ class ParamSchema(BaseModel): ) -class FeedExpert(BaseTool): +class FeedExecutor(BaseTool): + """ + A tool for fetching and analyzing blockchain activities for a given address. + """ + name = "FeedExecutor" description = """Use this tool to get the activities of a wallet address or \ blockchain domain name and know what this address has done or doing recently.""" @@ -45,10 +53,27 @@ async def _arun( type: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ): + """ + Asynchronously run the feed fetching process. + + :param address: The wallet address to fetch activities for + :param type: The type of activities to fetch (all, post, comment, share) + :param run_manager: Optional callback manager for async operations + :return: A string containing the fetched activities or an error message + """ return await fetch_feeds(address, type) async def fetch_feeds(address: str, type: str): + """ + Fetch feed activities for a given address and activity type. + + :param address: The wallet address to fetch activities for + :param type: The type of activities to fetch (all, post, comment, share) + :return: A string containing the fetched activities formatted using FEED_PROMPT + """ + + # Construct the URL for the API request url = f"{settings.RSS3_DATA_API}/decentralized/{address}?limit=5&action_limit=10&tag=social" if type in ["post", "comment", "share"]: url += f"&type={type}" diff --git a/openagent/executors/feed_prompt.py b/openagent/executors/feed_prompt.py new file mode 100644 index 00000000..b306ac52 --- /dev/null +++ b/openagent/executors/feed_prompt.py @@ -0,0 +1,9 @@ +FEED_PROMPT = """ +Here are the raw activities: + +{activities_data} + +- Before answering, please first summarize how many actions the above activities have been carried out. +- Display the key information in each operation, such as time, author, specific content, etc., and display this information in a markdown list format. +- Finally, give a specific answer to the question. +""" diff --git a/openagent/executors/feed_source_executor.py b/openagent/executors/feed_source_executor.py new file mode 100644 index 00000000..ebb35b81 --- /dev/null +++ b/openagent/executors/feed_source_executor.py @@ -0,0 +1,145 @@ +from typing import Optional, Type + +from langchain.callbacks.manager import ( + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from loguru import logger +from pydantic import BaseModel, Field +from rss3_dsl_sdk.client import RSS3Client +from rss3_dsl_sdk.schemas.base import ActivityFilter, PaginationOptions + +from openagent.executors.feed_prompt import FEED_PROMPT + +# Define supported networks and platforms +SUPPORTED_NETWORKS = [ + "arbitrum", + "arweave", + "avax", + "base", + "binance-smart-chain", + "crossbell", + "ethereum", + "farcaster", + "gnosis", + "linea", + "optimism", + "polygon", + "vsl", +] + +ALLOWED_PLATFORMS = [ + "1inch", + "AAVE", + "Aavegotchi", + "Crossbell", + "Curve", + "ENS", + "Farcaster", + "Highlight", + "IQWiki", + "KiwiStand", + "Lens", + "Lido", + "LooksRare", + "Matters", + "Mirror", + "OpenSea", + "Optimism", + "Paragraph", + "RSS3", + "SAVM", + "Stargate", + "Uniswap", + "Unknown", + "VSL", +] + + +# Define the schema for input parameters +class ParamSchema(BaseModel): + address: str = Field( + description="""wallet address or blockchain domain name,\ +hint: vitalik's address is vitalik.eth""" + ) + + network: Optional[str] = Field( + default=None, + description=f"""Retrieve activities for the specified network. +Supported networks: {', '.join(SUPPORTED_NETWORKS)}""", + ) + + platform: Optional[str] = Field( + default=None, + description=f"""Retrieve activities for the specified platform. +Allowed platforms: {', '.join(ALLOWED_PLATFORMS)}""", + ) + + +# Define the FeedSourceExecutor tool +class FeedSourceExecutor(BaseTool): + name = "FeedSourceExecutor" + description = """Use this tool to get the activities of a wallet address or \ +blockchain domain name based on specific network and/or platform, and know what this address \ +has done or is doing recently.""" + args_schema: Type[ParamSchema] = ParamSchema + + def _run( + self, + address: str, + network: Optional[str] = None, + platform: Optional[str] = None, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + raise NotImplementedError + + async def _arun( + self, + address: str, + network: Optional[str] = None, + platform: Optional[str] = None, + ): + """ + Asynchronously run the feed source fetching process. + + :param address: The wallet address to fetch activities for + :param network: network to filter activities (Optional) + :param platform: platform to filter activities (Optional) + :return: A string containing the fetched activities or an error message + """ + return await self.fetch_source_feeds(address, network, platform) + + async def fetch_source_feeds(self, address: str, network: Optional[str] = None, platform: Optional[str] = None): + """ + Fetch feed activities for a given address, optionally filtered by network and platform. + """ + filters = ActivityFilter() + pagination = PaginationOptions(limit=5, action_limit=10) + + # Validate and set network and platform filter if provided + if network: + if network.lower() not in [n.lower() for n in SUPPORTED_NETWORKS]: + return f"Error: Unsupported network '{network}'. Please choose from: {', '.join(SUPPORTED_NETWORKS)}" + filters.network = [network] + + if platform: + if platform.lower() not in [p.lower() for p in ALLOWED_PLATFORMS]: + return f"Error: Unsupported platform '{platform}'. Please choose from: {', '.join(ALLOWED_PLATFORMS)}" + filters.platform = [platform] + + try: + logger.info(f"Fetching activities for address: {address}, network: {network}, platform: {platform}") + + # Fetch activities using the RSS3 client + activities = RSS3Client().fetch_activities(account=address, tag=None, activity_type=None, pagination=filters, filters=pagination) + + # Check if any activities were found + if not activities.data: + return f"No activities found for the given address{' on ' + network if network else ''}{' and ' + platform if platform else ''}." + + result = FEED_PROMPT.format(activities_data=activities.dict()) + return result + + except Exception as e: + logger.error(f"Error fetching activities: {e!s}") + return f"Error: Unable to fetch data. {e!s}" diff --git a/openagent/executors/funding_rate_executor.py b/openagent/executors/funding_rate_executor.py new file mode 100644 index 00000000..d37ab7bb --- /dev/null +++ b/openagent/executors/funding_rate_executor.py @@ -0,0 +1,61 @@ +import json +from typing import Optional, Type + +import ccxt +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from loguru import logger +from pydantic import BaseModel, Field + + +class ARGS(BaseModel): + exchange: str = Field(description="Name of the exchange (ccxt supported), e.g., 'binance'") + symbol: str = Field(description="Trading pair symbol, e.g., 'BTC/USDT:USDT'") + + +class FundingRateExecutor(BaseTool): + name = "FundingRateExecutor" + description = "Use this tool to get the funding rate of a trading pair." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + exchange: str, + symbol: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + try: + return json.dumps(fetch_funding_rate(exchange, symbol)) + except Exception as e: + return f"error: {e}" + + async def _arun( + self, + exchange: str, + symbol: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + try: + return json.dumps(fetch_funding_rate(exchange, symbol)) + except Exception as e: + return f"error: {e}" + + +def fetch_funding_rate(exchange_name: str, symbol: str) -> float: + try: + exchange_class = getattr(ccxt, exchange_name) + exchange = exchange_class() + + funding_rate = exchange.fetch_funding_rate(symbol) + return funding_rate + except Exception as e: + logger.warning(f"Fetch funding rate error from {exchange_name}: {e}") + raise e + + +if __name__ == "__main__": + tool = FundingRateExecutor() + print(tool.run(tool_input={"exchange": "binance", "symbol": "BTC/USDT:USDT"})) diff --git a/openagent/executors/nft_balance_executor.py b/openagent/executors/nft_balance_executor.py new file mode 100644 index 00000000..7e68db9c --- /dev/null +++ b/openagent/executors/nft_balance_executor.py @@ -0,0 +1,65 @@ +import json +from typing import Optional, Type + +from covalent import CovalentClient +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class ARGS(BaseModel): + chain: str = Field(description="chain name,options:eth-mainnet,optimism-mainnet,arbitrum-mainnet,bsc-mainnet") + wallet_address: str = Field(description="wallet address") + + +class NFTBalanceExecutor(BaseTool): + name = "NFTBalanceExecutor" + description = "get the nft asset of a wallet." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + chain: str, + wallet_address: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return fetch_balance(chain, wallet_address) + + async def _arun( + self, + chain: str, + wallet_address: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return fetch_balance(chain, wallet_address) + + +def fetch_balance(chain: str, address: str) -> str: + if settings.COVALENT_API_KEY is None: + return "Please set COVALENT_API_KEY in the environment" + c = CovalentClient(settings.COVALENT_API_KEY) + b = c.nft_service.get_nfts_for_address(chain, address) + if b.error: + return b.error_message + return json.dumps( + list( + map( + lambda x: { + "contract_name": x.contract_name, + "contract_ticker_symbol": x.contract_ticker_symbol, + "balance": x.balance, + "pretty_floor_price_quote": x.pretty_floor_price_quote, + }, + b.data.items, + ) + ) + ) + + +if __name__ == "__main__": + print(fetch_balance("eth-mainnet", "0x33c0814654fa367ce67d8531026eb4481290e63c")) diff --git a/openagent/executors/nft_rank_executor.py b/openagent/executors/nft_rank_executor.py new file mode 100644 index 00000000..7142a4bc --- /dev/null +++ b/openagent/executors/nft_rank_executor.py @@ -0,0 +1,54 @@ +from typing import Optional, Type + +import requests +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class NFTRankingArgs(BaseModel): + sort_field: str = Field( + default="market_cap", + description=""" +Options include: volume_1d, volume_7d, volume_30d, volume_total, volume_change_1d, +volume_change_7d, volume_change_30d, sales_1d, sales_7d, sales_30d, +sales_total, sales_change_1d, sales_change_7d, sales_change_30d, +floor_price, market_cap. + """, + ) + + +class NFTRankingExecutor(BaseTool): + name = "NFTRankingExecutor" + description = "A tool for getting NFT collection rankings." + args_schema: Type[NFTRankingArgs] = NFTRankingArgs + + def _run( + self, + sort_field: str = "market_cap", + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return self.collection_ranking(sort_field) + + async def _arun( + self, + sort_field: str = "market_cap", + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return self._run(sort_field, run_manager) + + @staticmethod + def collection_ranking(sort_field: str) -> str: + if settings.NFTSCAN_API_KEY is None: + return "Please set NFTSCAN_API_KEY in the environment" + """Search for NFT collections ranking.""" + url = f"https://restapi.nftscan.com/api/v2/statistics/ranking/collection?sort_field={sort_field}&sort_direction=desc&limit=20" + + headers = {"X-API-KEY": f"{settings.NFTSCAN_API_KEY}"} + response = requests.get(url, headers=headers) + return response.text diff --git a/openagent/executors/nft_search_executor.py b/openagent/executors/nft_search_executor.py new file mode 100644 index 00000000..c1364c58 --- /dev/null +++ b/openagent/executors/nft_search_executor.py @@ -0,0 +1,61 @@ +import json +from typing import Optional, Type + +import requests +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class NFTSearchArgs(BaseModel): + keyword: str = Field(description="NFT symbol or collection name for search") + + +class NFTSearchExecutor(BaseTool): + name = "NFTSearchTool" + description = "A tool for searching NFT collections." + args_schema: Type[NFTSearchArgs] = NFTSearchArgs + + def _run( + self, + keyword: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return self.search_nft_collections(keyword) + + async def _arun( + self, + keyword: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return self._run(keyword, run_manager) + + @staticmethod + def search_nft_collections(keyword: str) -> str: + if settings.NFTSCAN_API_KEY is None: + return "Please set NFTSCAN_API_KEY in the environment" + """Search for NFT collections.""" + url = "https://restapi.nftscan.com/api/v2/collections/filters" + payload = json.dumps( + { + "contract_address_list": [], + "name_fuzzy_search": "false", + "show_collection": "false", + "sort_direction": "desc", + "sort_field": "floor_price", + "name": "", + "symbol": keyword, + } + ) + headers = { + "Content-Type": "application/json", + "X-API-KEY": f"{settings.NFTSCAN_API_KEY}", + } + + response = requests.post(url, headers=headers, data=payload) + return response.text diff --git a/openagent/executors/price_executor.py b/openagent/executors/price_executor.py new file mode 100644 index 00000000..ce713cc2 --- /dev/null +++ b/openagent/executors/price_executor.py @@ -0,0 +1,64 @@ +import asyncio +import json +from typing import Optional, Type + +import requests +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class ARGS(BaseModel): + token: str = Field(description="token symbol") + + +class PriceExecutor(BaseTool): + name = "PriceExecutor" + description = "use this tool to get the price widget of a token." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + token: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return asyncio.run(fetch_price(token)) + + async def _arun( + self, + token: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return await fetch_price(token) + + +async def fetch_price(token: str) -> str: + url = f"https://pro-api.coingecko.com/api/v3/search?query={token}" + + key = settings.COINGECKO_API_KEY + headers = {"accept": "application/json", "x-cg-pro-api-key": key} + + response = requests.get(url, headers=headers) + token_: dict = json.loads(response.text)["coins"][0] + token_id_ = token_["id"] + + url = ( + f"https://pro-api.coingecko.com/api/v3/simple/price?ids={token_id_}&" + f"vs_currencies=usd&include_market_cap=true&include_24hr_vol=true&" + f"include_24hr_change=true&include_last_updated_at=true" + ) + + headers = {"accept": "application/json", "x-cg-pro-api-key": key} + + response = requests.get(url, headers=headers) + + return response.text + + +if __name__ == "__main__": + print(asyncio.run(fetch_price("eth"))) diff --git a/openagent/executors/project_executor.py b/openagent/executors/project_executor.py new file mode 100644 index 00000000..77d56748 --- /dev/null +++ b/openagent/executors/project_executor.py @@ -0,0 +1,88 @@ +import asyncio +import json +from concurrent.futures import ThreadPoolExecutor +from typing import Optional, Type + +import aiohttp +from cachetools import TTLCache, cached +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + +API_KEY = "" +HEADERS = { + "apikey": settings.ROOTDATA_API_KEY, + "language": "en", + "Content-Type": "application/json", +} + +cache = TTLCache(maxsize=100, ttl=24 * 60 * 60) + + +class ARGS(BaseModel): + keyword: str = Field(description="keyword") + + +def _fetch_project_sync(keyword: str) -> str: + projects = asyncio.run(fetch_project(keyword)) + return json.dumps(projects) + + +class ProjectExecutor(BaseTool): + name = "ProjectExecutor" + + description = "get the project information like investors, team members, social media, etc." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + keyword: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + if settings.ROOTDATA_API_KEY is None: + return "Please set ROOTDATA_API_KEY in the environment" + with ThreadPoolExecutor() as executor: + future = executor.submit(_fetch_project_sync, keyword) + return future.result() + + async def _arun( + self, + keyword: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + if settings.ROOTDATA_API_KEY is None: + return "Please set ROOTDATA_API_KEY in the environment" + projects = await fetch_project(keyword) + return json.dumps(projects) + + +async def fetch_project_detail(session, project_id: int) -> dict: + url = "https://api.rootdata.com/open/get_item" + payload = json.dumps({"project_id": project_id, "include_team": True, "include_investors": True}) + + async with session.post(url, headers=HEADERS, data=payload) as response: + response_text = await response.text() + return json.loads(response_text)["data"] + + +@cached(cache) +async def fetch_project(keyword: str) -> list: + url = "https://api.rootdata.com/open/ser_inv" + payload = json.dumps({"query": keyword, "variables": {}}) + + async with aiohttp.ClientSession() as session, session.post(url, headers=HEADERS, data=payload) as response: + response_text = await response.text() + data = json.loads(response_text)["data"] + project_ids = [item["id"] for item in data if item["type"] == 1][0:2] + + tasks = [fetch_project_detail(session, project_id) for project_id in project_ids] + return list(await asyncio.gather(*tasks)) + + +if __name__ == "__main__": + print(asyncio.run(fetch_project("rss3"))) diff --git a/src/openagent/experts/swap_expert.py b/openagent/executors/swap_executor.py similarity index 90% rename from src/openagent/experts/swap_expert.py rename to openagent/executors/swap_executor.py index 13512051..7bb15cc0 100644 --- a/src/openagent/experts/swap_expert.py +++ b/openagent/executors/swap_executor.py @@ -8,8 +8,19 @@ from langchain.tools import BaseTool from pydantic import BaseModel, Field -from openagent.dto.mutation import Swap -from openagent.experts.token_util import chain_name_to_id, get_token_data_by_key, select_best_token +from openagent.executors.token_util import chain_name_to_id, get_token_data_by_key, select_best_token + + +class Swap(BaseModel): + from_token: str + from_token_address: str + to_token: str + to_token_address: str + amount: str + type: str = "swap" + from_chain_name: str + to_chain_name: str + ChainLiteral = Literal["ETH", "BSC", "ARBITRUM", "OPTIMISM", "POLYGON"] @@ -31,7 +42,7 @@ class ParamSchema(BaseModel): amount: str = Field(description="Amount of the from-side token to swap, e.g., '0.1', '1', '10'. Default: '1'.") -class SwapExpert(BaseTool): +class SwapExecutor(BaseTool): """ Tool for generating a swap widget for cryptocurrency swaps. """ diff --git a/openagent/executors/tavily_executor.py b/openagent/executors/tavily_executor.py new file mode 100644 index 00000000..5bc17fc2 --- /dev/null +++ b/openagent/executors/tavily_executor.py @@ -0,0 +1,3 @@ +from langchain_community.tools.tavily_search import TavilySearchResults + +tavily_executor = TavilySearchResults(max_results=5, name="SearchExecutor") diff --git a/openagent/executors/token_balance_executor.py b/openagent/executors/token_balance_executor.py new file mode 100644 index 00000000..e00d9cc1 --- /dev/null +++ b/openagent/executors/token_balance_executor.py @@ -0,0 +1,62 @@ +import json +from typing import Optional, Type + +from covalent import CovalentClient +from langchain.callbacks.manager import ( + AsyncCallbackManagerForToolRun, + CallbackManagerForToolRun, +) +from langchain.tools import BaseTool +from pydantic import BaseModel, Field + +from openagent.conf.env import settings + + +class ARGS(BaseModel): + chain: str = Field(description="chain name,options:btc-mainnet,eth-mainnet,optimism-mainnet,arbitrum-mainnet,bsc-mainnet") + wallet_address: str = Field(description="wallet address") + + +class TokenBalanceExecutor(BaseTool): + name = "TokenBalanceExecutor" + description = "get the token balance of a wallet." + args_schema: Type[ARGS] = ARGS + + def _run( + self, + chain: str, + wallet_address: str, + run_manager: Optional[CallbackManagerForToolRun] = None, + ) -> str: + return fetch_balance(chain, wallet_address) + + async def _arun( + self, + chain: str, + wallet_address: str, + run_manager: Optional[AsyncCallbackManagerForToolRun] = None, + ) -> str: + return fetch_balance(chain, wallet_address) + + +def fetch_balance(chain: str, address: str) -> str: + c = CovalentClient(settings.COVALENT_API_KEY) + b = c.balance_service.get_token_balances_for_wallet_address(chain, address) + if b.error: + return b.error_message + return json.dumps( + list( + map( + lambda x: { + "contract_ticker_symbol": x.contract_ticker_symbol, + "balance": x.balance, + "pretty_quote": x.pretty_quote, + }, + b.data.items, + ) + ) + ) + + +if __name__ == "__main__": + print(fetch_balance("eth-mainnet", "0x33c0814654fa367ce67d8531026eb4481290e63c")) diff --git a/src/openagent/experts/token_util.py b/openagent/executors/token_util.py similarity index 100% rename from src/openagent/experts/token_util.py rename to openagent/executors/token_util.py diff --git a/src/openagent/experts/transfer_expert.py b/openagent/executors/transfer_executor.py similarity index 63% rename from src/openagent/experts/transfer_expert.py rename to openagent/executors/transfer_executor.py index e20aa81f..142dafe4 100644 --- a/src/openagent/experts/transfer_expert.py +++ b/openagent/executors/transfer_executor.py @@ -7,11 +7,25 @@ from langchain.tools import BaseTool from pydantic import BaseModel, Field -from openagent.dto.mutation import Transfer -from openagent.experts.token_util import chain_name_to_id, get_token_data_by_key, select_best_token +from openagent.executors.token_util import chain_name_to_id, get_token_data_by_key, select_best_token + + +class Transfer(BaseModel): + # task_id: str + to_address: str + token: str + token_address: str + chain_id: str + amount: str + logoURI: str # noqa + decimals: int class ParamSchema(BaseModel): + """ + Defines the schema for input parameters of the TransferExecutor tool. + """ + to_address: str = Field( description="""extract the blockchain address mentioned in the query""", ) @@ -33,7 +47,11 @@ class ParamSchema(BaseModel): ) -class TransferExpert(BaseTool): +class TransferExecutor(BaseTool): + """ + Tool for generating a transfer widget for cryptocurrency transfers. + """ + name = "TransferExecutor" description = """Use this tool to send cryptocurrencies to another address.""" args_schema: Type[ParamSchema] = ParamSchema @@ -58,10 +76,31 @@ async def _arun( amount: str = "1", run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ): + """ + Asynchronously run the transfer process. + + :param to_address: The recipient's blockchain address + :param token: The token symbol + :param chain_name: The blockchain name (default is "ethereum") + :param amount: The amount to transfer (default is "1") + :param run_manager: Optional callback manager for async operations + :return: JSON representation of the transfer details + """ + return await fetch_transfer(to_address, token, chain_name, amount) async def fetch_transfer(to_address: str, token: str, chain_name: str, amount: str): + """ + Fetch transfer details and prepare the Transfer object. + + :param to_address: The recipient's blockchain address + :param token: The token symbol + :param chain_name: The blockchain name + :param amount: The amount to transfer + :return: JSON representation of the Transfer object + """ + if not to_address.startswith("0x") and not to_address.endswith(".eth"): to_address += ".eth" chain_id = chain_name_to_id(chain_name) @@ -70,8 +109,11 @@ async def fetch_transfer(to_address: str, token: str, chain_name: str, amount: s "token": token, "amount": amount, } + + # Select the best token based on the provided token symbol and chain ID token_info = await select_best_token(token, chain_id) + # Create a Transfer object with all the necessary information transfer = Transfer( to_address=res.get("to_address", "1"), token=get_token_data_by_key(token_info, "symbol"), diff --git a/src/openagent/experts/__init__.py b/openagent/index/__init__.py similarity index 100% rename from src/openagent/experts/__init__.py rename to openagent/index/__init__.py diff --git a/src/openagent/index/feed_indexing.py b/openagent/index/feed_indexing.py similarity index 100% rename from src/openagent/index/feed_indexing.py rename to openagent/index/feed_indexing.py diff --git a/src/openagent/index/feed_scrape.py b/openagent/index/feed_scrape.py similarity index 100% rename from src/openagent/index/feed_scrape.py rename to openagent/index/feed_scrape.py diff --git a/src/openagent/index/pgvector_store.py b/openagent/index/pgvector_store.py similarity index 63% rename from src/openagent/index/pgvector_store.py rename to openagent/index/pgvector_store.py index 878336ec..2cded906 100644 --- a/src/openagent/index/pgvector_store.py +++ b/openagent/index/pgvector_store.py @@ -13,11 +13,11 @@ @memoize def build_vector_store() -> PGVector: collection_name = "backend" - if settings.MODEL_NAME.startswith("gemini"): - if settings.GOOGLE_GEMINI_API_KEY is not None: - underlying_embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001", google_api_key=settings.GOOGLE_GEMINI_API_KEY) - else: - underlying_embeddings = VertexAIEmbeddings(model_name="textembedding-gecko@003", project=settings.GOOGLE_CLOUD_PROJECT_ID) + if settings.VERTEX_PROJECT_ID: + underlying_embeddings = VertexAIEmbeddings(model_name="textembedding-gecko@003", project=settings.VERTEX_PROJECT_ID) + + elif settings.GOOGLE_GEMINI_API_KEY: + underlying_embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001", google_api_key=settings.GOOGLE_GEMINI_API_KEY) else: underlying_embeddings = OpenAIEmbeddings(model="text-embedding-3-large") return PGVector( diff --git a/src/openagent/index/__init__.py b/openagent/ui/__init__.py similarity index 100% rename from src/openagent/index/__init__.py rename to openagent/ui/__init__.py diff --git a/openagent/ui/app.py b/openagent/ui/app.py new file mode 100644 index 00000000..bb78921b --- /dev/null +++ b/openagent/ui/app.py @@ -0,0 +1,168 @@ +import json +from typing import Dict, Optional + +import chainlit as cl +import chainlit.data as cl_data +from chainlit.data.sql_alchemy import SQLAlchemyDataLayer +from langchain.memory import ConversationBufferMemory +from langchain.schema.runnable.config import RunnableConfig +from langchain_core.messages import HumanMessage +from loguru import logger + +from openagent.conf.env import settings +from openagent.conf.llm_provider import get_available_providers, set_current_llm +from openagent.ui.profile import profile_name_to_provider_key, provider_to_profile +from openagent.workflows.member import members +from openagent.workflows.workflow import build_workflow + + +def enable_auth(): + auth_settings = [ + settings.CHAINLIT_AUTH_SECRET, + settings.OAUTH_AUTH0_CLIENT_ID, + settings.OAUTH_AUTH0_CLIENT_SECRET, + settings.OAUTH_AUTH0_DOMAIN, + ] + return all(arg for arg in auth_settings) + + +if enable_auth(): + # Set up the data layer + cl_data._data_layer = SQLAlchemyDataLayer(conninfo=settings.DB_CONNECTION) + + @cl.oauth_callback + def oauth_callback( + provider_id: str, + token: str, + raw_user_data: Dict[str, str], + default_user: cl.User, + ) -> Optional[cl.User]: + """OAuth callback function.""" + return default_user + + @cl.on_chat_resume + async def on_chat_resume(thread: cl_data.ThreadDict): + """Callback function when chat resumes.""" + memory = initialize_memory() + root_messages = [m for m in thread["steps"]] + for message in root_messages: + if message["type"] == "user_message": + memory.chat_memory.add_user_message(message["output"]) + else: + memory.chat_memory.add_ai_message(message["output"]) + + cl.user_session.set("memory", memory) + profile = cl.user_session.get("chat_profile") + provider_key = profile_name_to_provider_key(profile) + set_current_llm(provider_key) + setup_runnable() + + +def setup_runnable(): + """Set up the runnable agent.""" + agent = build_workflow() + cl.user_session.set("runnable", agent) + + +def initialize_memory() -> ConversationBufferMemory: + """Initialize conversation memory.""" + return ConversationBufferMemory(return_messages=True) + + +@cl.set_chat_profiles +async def chat_profile(): + providers = get_available_providers() + profiles = list(map(provider_to_profile, providers.keys())) + profiles = [profile for profile in profiles if profile is not None] + + return profiles + + +@cl.on_chat_start +async def on_chat_start(): + """Callback function when chat starts.""" + cl.user_session.set("memory", initialize_memory()) + profile = cl.user_session.get("chat_profile") + provider_key = profile_name_to_provider_key(profile) + set_current_llm(provider_key) + setup_runnable() + await cl.Message(content=f"starting chat using the {profile} chat profile").send() + + +def build_token(token_symbol: str, token_address: str): + return f"{token_symbol}{'--' + token_address.lower() if token_symbol != 'ETH' else ''}" + + +@cl.on_message +async def on_message(message: cl.Message): + """Callback function to handle user messages.""" + memory = cl.user_session.get("memory") # type: ConversationBufferMemory + runnable = cl.user_session.get("runnable") + + profile = cl.user_session.get("chat_profile") + provider_key = profile_name_to_provider_key(profile) + set_current_llm(provider_key) + + msg = cl.Message(content="") + agent_names = [member["name"] for member in members] + + async for event in runnable.astream_events( + {"messages": [*memory.chat_memory.messages, HumanMessage(content=message.content)]}, + config=RunnableConfig(callbacks=[cl.LangchainCallbackHandler(stream_final_answer=True)]), + version="v1", + ): + kind = event["event"] + if kind == "on_tool_end": + await handle_tool_end(event, msg) + elif kind == "on_chat_model_stream": # noqa + if event["metadata"]["langgraph_node"] in agent_names: + content = event["data"]["chunk"].content + if content: + await msg.stream_token(content) + + await msg.send() + memory.chat_memory.add_user_message(message.content) + memory.chat_memory.add_ai_message(msg.content) + + +async def handle_tool_end(event, msg): + if event["name"] == "SwapExecutor": + output = event["data"]["output"] + swap_dict = json.loads(output) + logger.info(swap_dict) + from_chain = swap_dict["from_chain_name"] + to_chain = swap_dict["to_chain_name"] + from_token_ = swap_dict["from_token"] + from_token_address = swap_dict["from_token_address"] + to_token = swap_dict["to_token"] + to_token_address = swap_dict["to_token_address"] + from_amount = swap_dict["amount"] + + widget = ( + f"""""" + ) + await msg.stream_token(widget) + + if event["name"] == "TransferExecutor": + output = event["data"]["output"] + transfer_dict = json.loads(output) + token = transfer_dict["token"] + to_address = transfer_dict["to_address"] + amount = transfer_dict["amount"] + + url = f"/widget/transfer?token={token}&amount={amount}&toAddress={to_address}" + + iframe_html = f""" + + """ + await msg.stream_token(iframe_html) + + if event["name"] == "PriceExecutor": + output = event["data"]["output"] + price_dict = json.loads(output) + widget = f"""""" # noqa + await msg.stream_token(widget) diff --git a/openagent/ui/profile.py b/openagent/ui/profile.py new file mode 100644 index 00000000..d9d8a134 --- /dev/null +++ b/openagent/ui/profile.py @@ -0,0 +1,49 @@ +import chainlit as cl + +from openagent.conf.llm_provider import TOOL_CALL_MODELS + +provider_key_to_profile_info = { + "gpt-3.5-turbo": { + "name": "GPT-3.5", + "markdown_description": "Using **GPT-3.5**.", + "icon": "https://custom.typingmind.com/assets/models/gpt-35.webp", + }, + "gpt-4o": { + "name": "GPT-4o", + "markdown_description": "Using **GPT-4o**.", + "icon": "https://custom.typingmind.com/assets/models/gpt-4.webp", + }, + "gpt-4o-mini": { + "name": "GPT-4o-mini", + "markdown_description": "Using **GPT-4o**.", + "icon": "https://custom.typingmind.com/assets/models/gpt-4.webp", + }, + "gemini-1.5-pro": { + "name": "Gemini 1.5 Pro", + "markdown_description": "Using **Gemini 1.5 Pro**.", + "icon": "https://custom.typingmind.com/assets/models/gemini.png", + }, + "gemini-1.5-flash": { + "name": "Gemini 1.5 Flash", + "markdown_description": "Using **Gemini 1.5 Flash**.", + "icon": "https://custom.typingmind.com/assets/models/gemini.png", + }, +} +for model in TOOL_CALL_MODELS: + provider_key_to_profile_info[model] = { + "name": model, + "markdown_description": f"Using **{model}**.", + "icon": "https://ollama.com/public/ollama.png", + } + + +def provider_to_profile(provider_key): + profile_info = provider_key_to_profile_info.get(provider_key) + if profile_info: + return cl.ChatProfile(name=profile_info["name"], markdown_description=profile_info["markdown_description"], icon=profile_info["icon"]) + return None + + +def profile_name_to_provider_key(name): + map = {v["name"]: k for k, v in provider_key_to_profile_info.items()} + return map.get(name) diff --git a/src/openagent/router/__init__.py b/openagent/workflows/__init__.py similarity index 100% rename from src/openagent/router/__init__.py rename to openagent/workflows/__init__.py diff --git a/openagent/workflows/member.py b/openagent/workflows/member.py new file mode 100644 index 00000000..f61f49d8 --- /dev/null +++ b/openagent/workflows/member.py @@ -0,0 +1,93 @@ +from typing import Literal + +MARKET_ANALYSIS: str = "market_analysis_agent" +ASSET_MANAGEMENT = "asset_management_agent" +BLOCK_EXPLORER = "block_explorer_agent" +FEED_EXPLORER = "feed_explorer_agent" +RESEARCH_ANALYST = "research_analyst_agent" +FALLBACK = "fallback_agent" + +AgentRole = Literal[ + "market_analysis_agent", "asset_management_agent", "block_explorer_agent", "feed_explorer_agent", "research_analyst_agent", "fallback_agent" +] + +members = [ + { + "name": MARKET_ANALYSIS, + "description": """ +MarketAnalyst: Provides market data analysis and insights. + +Responsibilities: +1. Retrieve real-time token price information +2. Analyze market trends and dynamics +3. Offer insights to help users understand the market + +Maintain a professional and informative tone while providing clear, concise analysis. + """.strip(), + }, + { + "name": ASSET_MANAGEMENT, + "description": """ +AssetManager: Assists with crypto asset management. + +Responsibilities: +1. Query and report on users' token balances +2. Check and inform about users' NFT holdings +3. Generate cross-chain swap widgets for users + +Provide accurate information with a friendly tone, using occasional puns or emojis to keep interactions engaging. + """.strip(), + }, + { + "name": BLOCK_EXPLORER, + "description": """ +BlockExplorer: Assists in exploring blockchain data. + +Responsibilities: +1. Retrieve and explain block height information +2. Provide transaction details and status updates +3. Inform about gas fees and other relevant blockchain data + +Present technical information in an easy-to-understand manner, using analogies when helpful. + """.strip(), + }, + { + "name": FEED_EXPLORER, + "description": """ +FeedExplorer: Explores and presents blockchain-related activities and feeds. + +Responsibilities: +1. Query and analyze various blockchain-related feeds +2. Retrieve activities from different sources and platforms +3. Provide insights on DeFi activities across various chains + +Present feed and activity data in a clear, engaging manner, using emojis and blockchain-related puns when appropriate. + """.strip(), + }, + { + "name": RESEARCH_ANALYST, + "description": """ +ResearchAnalyst: Conducts and provides web3 project research. + +Responsibilities: +1. Gather detailed information on web3 projects +2. Analyze project progress, team members, and investors +3. Provide insights on market trends related to specific projects + +Deliver comprehensive yet concise reports, emphasizing key points for investment decisions. + """.strip(), + }, + { + "name": FALLBACK, + "description": """ +FallbackAgent: Handles general queries and conversations. + +Responsibilities: +1. Answer user queries unrelated to other agents' specialties +2. Clarify unclear requests and provide general assistance +3. Maintain conversation continuity when needed + +Respond with versatility and friendliness, guiding users to appropriate specialists when necessary. + """.strip(), + }, +] diff --git a/openagent/workflows/supervisor_chain.py b/openagent/workflows/supervisor_chain.py new file mode 100644 index 00000000..249e2ddd --- /dev/null +++ b/openagent/workflows/supervisor_chain.py @@ -0,0 +1,67 @@ +from dotenv import load_dotenv +from langchain_core.output_parsers import JsonOutputToolsParser +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder +from langchain_core.tools import tool +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_google_vertexai import ChatVertexAI +from loguru import logger + +from openagent.conf.llm_provider import get_current_llm +from openagent.workflows.member import AgentRole, members + +load_dotenv() + + +@tool +def route(next_: AgentRole): + """Select the next role.""" + pass + + +def build_supervisor_chain(): + system_prompt = """ +You are an AI Agent Supervisor coordinating specialized AI Agents. Your task: + +1. Analyze user requests and conversation history. +2. Select the most suitable AI Agent based on their expertise: + +{members} + + +Selection principles: +- Match Agent expertise to current needs. +- Prioritize Agents who can advance the task. +- Choose the Agent for the most comprehensive response. + +Based on these guidelines, select the next AI Agent or end the conversation. +""" + members_info = ", ".join([f"{member['name']} ({member['description']})" for member in members]) + system_prompt = system_prompt.format(members=members_info) + options = [member["name"] for member in members] + + prompt = ChatPromptTemplate.from_messages( + [ + ("system", system_prompt), + MessagesPlaceholder(variable_name="messages"), + ] + ).partial(options=str(options), members=", ".join([member["name"] for member in members])) + llm = get_current_llm() + + def extract_next(x): + try: + next__ = x[-1]["args"]["next_"] + except Exception: + logger.warning(f"Error extracting next agent: {x}") + next__ = "fallback_agent" + return {"next": next__} + + def get_tool_choice(llm): + if isinstance(llm, ChatVertexAI) and llm.model_name == "gemini-1.5-flash": + return None + if isinstance(llm, ChatGoogleGenerativeAI): + return None + return "route" + + tool_choice = get_tool_choice(llm) + + return prompt | llm.bind_tools(tools=[route], tool_choice=tool_choice) | JsonOutputToolsParser() | extract_next diff --git a/openagent/workflows/workflow.py b/openagent/workflows/workflow.py new file mode 100644 index 00000000..76914280 --- /dev/null +++ b/openagent/workflows/workflow.py @@ -0,0 +1,57 @@ +import operator +from typing import Annotated, Sequence, TypedDict + +from langchain_core.messages import BaseMessage, HumanMessage +from langgraph.graph import END, StateGraph +from loguru import logger + +from openagent.agents.feed_explore import feed_explorer_agent + + +class AgentState(TypedDict): + messages: Annotated[Sequence[BaseMessage], operator.add] + next: str + + +def create_node(agent, name): + async def run(state): + logger.info(f"Running {name} agent") + result = await agent.ainvoke(state) + return {"messages": [HumanMessage(content=result["output"], name=name)]} + + return run + + +def build_workflow(): + from openagent.agents.asset_management import asset_management_agent + from openagent.agents.block_explore import block_explorer_agent + from openagent.agents.fallback import fallback + from openagent.agents.market_analysis import market_analysis_agent + from openagent.agents.project_management import research_analyst_agent + from openagent.workflows.member import members + from openagent.workflows.supervisor_chain import build_supervisor_chain + + market_analysis_agent_node = create_node(market_analysis_agent, "market_analysis_agent") + asset_management_agent_node = create_node(asset_management_agent, "asset_management_agent") + block_explorer_agent_node = create_node(block_explorer_agent, "block_explorer_agent") + research_analyst_agent_node = create_node(research_analyst_agent, "research_analyst_agent") + feed_explorer_agent_node = create_node(feed_explorer_agent, "feed_explorer_agent") + + workflow = StateGraph(AgentState) + workflow.add_node("market_analysis_agent", market_analysis_agent_node) + workflow.add_node("asset_management_agent", asset_management_agent_node) + workflow.add_node("block_explorer_agent", block_explorer_agent_node) + workflow.add_node("feed_explorer_agent", feed_explorer_agent_node) + workflow.add_node("research_analyst_agent", research_analyst_agent_node) + workflow.add_node("supervisor", build_supervisor_chain()) + workflow.add_node("fallback_agent", fallback) + + member_names = list(map(lambda x: x["name"], members)) + + for member in member_names: + workflow.add_edge(member, END) + + conditional_map = {k: k for k in member_names} + workflow.add_conditional_edges("supervisor", lambda x: x["next"], conditional_map) + workflow.set_entry_point("supervisor") + return workflow.compile() diff --git a/src/poetry.lock b/poetry.lock similarity index 93% rename from src/poetry.lock rename to poetry.lock index ed7c90f1..ebcb13b4 100644 --- a/src/poetry.lock +++ b/poetry.lock @@ -592,6 +592,25 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "covalent-api-sdk" +version = "1.0.2" +description = "covalent-api-sdk-py" +optional = false +python-versions = ">=3.7" +files = [ + {file = "covalent_api_sdk-1.0.2-py3-none-any.whl", hash = "sha256:906b191e88769cb4774428c7f06d6be15b7b5a3855761a8ec3a03ff6db08a1dd"}, + {file = "covalent_api_sdk-1.0.2.tar.gz", hash = "sha256:578247e551bfadd988f41a51bd3020fa286e11c57d00c762b14f228f3592e8ab"}, +] + +[package.dependencies] +aiohttp = "*" +deprecated = "*" +pytest = "*" +pytest-asyncio = "*" +pytest-env = "*" +requests = "*" + [[package]] name = "cryptography" version = "42.0.7" @@ -1524,6 +1543,17 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link perf = ["ipython"] testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"] +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + [[package]] name = "jsonpatch" version = "1.33" @@ -1566,8 +1596,8 @@ langchain-core = ">=0.2.10,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0" langsmith = ">=0.1.17,<0.2.0" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1,<2", markers = "python_version < \"3.12\""}, ] pydantic = ">=1,<3" PyYAML = ">=5.3" @@ -1593,8 +1623,8 @@ langchain = ">=0.2.6,<0.3.0" langchain-core = ">=0.2.10,<0.3.0" langsmith = ">=0.1.0,<0.2.0" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1,<2", markers = "python_version < \"3.12\""}, ] PyYAML = ">=5.3" requests = ">=2,<3" @@ -1603,13 +1633,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.2.10" +version = "0.2.24" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.10-py3-none-any.whl", hash = "sha256:6eb72086b6bc86db9812da98f79e507c2209a15c0112aefd214a04182ada8586"}, - {file = "langchain_core-0.2.10.tar.gz", hash = "sha256:33d1fc234ab58c80476eb5bbde2107ef522a2ce8f46bdf47d9e1bd21e054208f"}, + {file = 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index 89% rename from src/pyproject.toml rename to pyproject.toml index eab5e2e0..32489700 100644 --- a/src/pyproject.toml +++ b/pyproject.toml @@ -38,6 +38,11 @@ langchain-community = "^0.2.6" langchain-openai = "^0.1.13" chainlit = "^1.1.305" greenlet = "^3.0.3" +covalent-api-sdk = "^1.0.2" +langchain-ollama = "^0.1.0" +ollama = "^0.3.1" +pydantic = "^2.8.2" +rss3-dsl-sdk = "^0.4.0" [tool.poetry.group.dev.dependencies] ruff = "^0.4.1" @@ -125,7 +130,7 @@ warn_redundant_casts = true warn_return_any = true check_untyped_defs = true show_error_codes = true -disable_error_code = ["arg-type","call-arg","unused-ignore","import-untyped","assignment","no-any-return","no-any-unimported","import-not-found","misc"] +disable_error_code = ["arg-type","call-arg","union-attr","operator","unused-ignore","import-untyped","assignment","no-any-return","no-any-unimported","import-not-found","misc"] [build-system] diff --git a/src/.env.example b/src/.env.example deleted file mode 100644 index a8acc0b2..00000000 --- a/src/.env.example +++ /dev/null @@ -1,83 +0,0 @@ -# Usage: Copy this file to .env and fill in the values -## If [optional] values are not proivded, corresponding executors will not be available. - -##################### -# Basic configuration - -## Current environment, either "dev" or "prod" -ENV=dev - -## Model name, required. - -## If using OpenAI -## We recommend using "gpt-4o" or "gpt-4o-mini" for an improved performance. -## Refer to https://platform.openai.com. -## OpenAI API key, required for using OpenAI. -## OPENAI_API_KEY=... - -## If using Google Gemini -### We recommend using "gemini-1.5-pro" or "gemini-1.5-flash" for an improved performance. -### Refer to https://ai.google.dev. -## Google Gemini API key, required for using Google Gemini. -## GOOGLE_GEMINI_API_KEY=... - -## If using Google Vertex AI -### We recommend using "gemini-1.5-pro" or "gemini-1.5-flash" for an improved performance. -### Refer to https://cloud.google.com/vertex-ai/docs/reference. -## Google Cloud VertexAI project ID, required for using Google Vertex AI. -## GOOGLE_CLOUD_PROJECT_ID=... - -## For local LLM, see compatible models: https://docs.rss3.io/guide/artificial-intelligence/openagent/compatible-models. -## Other models are not tested and may not work as expected. -MODEL_NAME=llama3 - -## API base for outgoing requests to the LLM. -### When using proprietary APIs, refer to their docs for the correct API base. -### When using open source models hosted locally, we use Ollama as the wrapper, -### you don't have to change this value, unless you know what you are doing. -LLM_API_BASE=http://ollama:11434 - -## A database is required for vector and user management. -## Database connection string -DB_CONNECTION=postgresql+psycopg://postgres:password@vector_db:5432/openagent - -# End of basic configuration -############################ - -######################### -# Executors configuration - -## [required] RSS3 Data API server endpoint, required for retrieving data from RSS3 network -### See https://docs.rss3.io/api-reference#tag/dsl -RSS3_DATA_API=https://gi.rss3.io -## [required] RSS3 Search API server endpoint, required for searching data on RSS3 network -RSS3_SEARCH_API=https://devnet.rss3.io/search -## [required] RSS3 API key, required for both APIs above -RSS3_API_KEY=... - -## [optional] Google Search Engine API key, required for Search executor. -### See https://serpapi.com -SERPAPI_API_KEY=... - -# #[optional] NFTSCAN API key, required for NFT executor. -## See https://developer.nftscan.com -NFTSCAN_API_KEY=... - -# End of Executors configuration -################################ - -######################## -# Chainlit configuration - -## [optional] OAuth configuration for AUTH0. -### So users can login via social accounts. -### See https://docs.chainlit.io/authentication/oauth. -### For demostartion purposes, we use Google as the provider. -### See https://developers.google.com/identity/protocols/oauth2. -OAUTH_AUTH0_CLIENT_ID=... -OAUTH_AUTH0_CLIENT_SECRET=... -OAUTH_AUTH0_DOMAIN=... -CHAINLIT_AUTH_SECRET=... - -# End of Chainlit configuration -############################### diff --git a/src/.gitignore b/src/.gitignore deleted file mode 100644 index e053a828..00000000 --- a/src/.gitignore +++ /dev/null @@ -1,276 +0,0 @@ -#map_cache -map_cache_* - -### VisualStudioCode template -.vscode/* -!.vscode/settings.json -!.vscode/tasks.json -!.vscode/launch.json -!.vscode/extensions.json -!.vscode/*.code-snippets - -# Local History for Visual Studio Code -.history/ - -# Built Visual Studio Code Extensions -*.vsix - -### JetBrains template -# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider -# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839 - -# User-specific stuff -.idea/**/workspace.xml -.idea/**/tasks.xml -.idea/**/usage.statistics.xml -.idea/**/dictionaries -.idea/**/shelf - -# AWS User-specific -.idea/**/aws.xml - -# Generated files -.idea/**/contentModel.xml - -# Sensitive or high-churn files -.idea/**/dataSources/ -.idea/**/dataSources.ids -.idea/**/dataSources.local.xml -.idea/**/sqlDataSources.xml -.idea/**/dynamic.xml -.idea/**/uiDesigner.xml -.idea/**/dbnavigator.xml - -# Gradle -.idea/**/gradle.xml -.idea/**/libraries - -# Gradle and Maven with auto-import -# When using Gradle or Maven with auto-import, you should exclude module files, -# since they will be recreated, and may cause churn. Uncomment if using -# auto-import. -# .idea/artifacts -# .idea/compiler.xml -# .idea/jarRepositories.xml -# .idea/modules.xml -# .idea/*.iml -# .idea/modules -# *.iml -# *.ipr - -# CMake -cmake-build-*/ - -# Mongo Explorer plugin -.idea/**/mongoSettings.xml - -# File-based project format -*.iws - -# IntelliJ -out/ - -# mpeltonen/sbt-idea plugin -.idea_modules/ - -# JIRA plugin -atlassian-ide-plugin.xml - -# Cursive Clojure plugin -.idea/replstate.xml - -# SonarLint plugin -.idea/sonarlint/ - -# Crashlytics plugin (for Android Studio and IntelliJ) -com_crashlytics_export_strings.xml -crashlytics.properties -crashlytics-build.properties -fabric.properties - -# Editor-based Rest Client -.idea/httpRequests - -# Android studio 3.1+ serialized cache file -.idea/caches/build_file_checksums.ser - -### dotenv template -.env - -### Linux template -*~ - -# temporary files which can be created if a process still has a handle open of a deleted file -.fuse_hidden* - -# KDE directory preferences -.directory - -# Linux trash folder which might appear on any partition or disk -.Trash-* - -# .nfs files are created when an open file is removed but is still being accessed -.nfs* - -chainlit.md -### Python template -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -share/python-wheels/ -*.egg-info/ -.installed.cfg -*.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.nox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -*.py,cover -.hypothesis/ -.pytest_cache/ -cover/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -.pybuilder/ -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# IPython -profile_default/ -ipython_config.py - -# pyenv -# For a library or package, you might want to ignore these files since the code is -# intended to run in multiple environments; otherwise, check them in: -# .python-version - -# pipenv -# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. -# However, in case of collaboration, if having platform-specific dependencies or dependencies -# having no cross-platform support, pipenv may install dependencies that don't work, or not -# install all needed dependencies. -#Pipfile.lock - -# poetry -# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock - -# pdm -# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. -#pdm.lock -# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it -# in version control. -# https://pdm.fming.dev/#use-with-ide -.pdm.toml - -# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm -__pypackages__/ - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# SageMath parsed files -*.sage.py - -# Environments -.env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ -.dmypy.json -dmypy.json - -# Pyre type checker -.pyre/ - -# pytype static type analyzer -.pytype/ - -# Cython debug symbols -cython_debug/ - -# PyCharm -# JetBrains specific template is maintained in a separate JetBrains.gitignore that can -# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore -# and can be added to the global gitignore or merged into this file. For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ diff --git a/src/openagent/agent/cache.py b/src/openagent/agent/cache.py deleted file mode 100644 index c7521ec1..00000000 --- a/src/openagent/agent/cache.py +++ /dev/null @@ -1,2 +0,0 @@ -def init_cache() -> None: - pass diff --git a/src/openagent/agent/ctx_var.py b/src/openagent/agent/ctx_var.py deleted file mode 100644 index cffa78b9..00000000 --- a/src/openagent/agent/ctx_var.py +++ /dev/null @@ -1,6 +0,0 @@ -from contextvars import ContextVar - -from openagent.dto.chat_req import ChatReq - -resp_msg_id: ContextVar[str | None] = ContextVar("resp_msg_id", default=None) -chat_req_ctx: ContextVar[ChatReq] = ContextVar("chat_req_ctx") diff --git a/src/openagent/agent/function_agent.py b/src/openagent/agent/function_agent.py deleted file mode 100644 index 45dcd8c3..00000000 --- a/src/openagent/agent/function_agent.py +++ /dev/null @@ -1,153 +0,0 @@ -from langchain.agents import ( - AgentExecutor, - AgentType, - create_tool_calling_agent, - initialize_agent, -) -from langchain.prompts import MessagesPlaceholder -from langchain.schema import SystemMessage -from langchain_community.chat_models import ChatOllama -from langchain_core.prompts import ChatPromptTemplate -from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_google_vertexai import ChatVertexAI -from langchain_openai import ChatOpenAI -from toolz import memoize - -from openagent.agent.cache import init_cache -from openagent.agent.system_prompt import ( - SYSTEM_PROMPT, - SYSTEM_PROMPT_V2, - custom_agent_kwargs, -) -from openagent.conf.env import settings -from openagent.experts.article_expert import ArticleExpert -from openagent.experts.dune_expert import DuneExpert -from openagent.experts.feed_expert import FeedExpert -from openagent.experts.google_expert import GoogleExpert -from openagent.experts.nft_expert import NFTExpert -from openagent.experts.price_expert import PriceExpert -from openagent.experts.swap_expert import SwapExpert -from openagent.experts.transfer_expert import TransferExpert - -# Initialize cache -init_cache() - - -# Function to get all experts -def get_experts(): - experts = [ - DuneExpert(), - FeedExpert(), - PriceExpert(), - ArticleExpert(), - TransferExpert(), - SwapExpert(), - ] - - if settings.SERPAPI_API_KEY: - experts.append(GoogleExpert()) - - if settings.NFTSCAN_API_KEY: - experts.append(NFTExpert()) - - return experts - - -# Function to create a ReAct agent -def create_react_agent(session_id: str): - # Define agent kwargs - agent_kwargs = ( - { - "system_message": SystemMessage(content=SYSTEM_PROMPT), - "extra_prompt_messages": [MessagesPlaceholder(variable_name="memory")], - } - if settings.MODEL_NAME.startswith("gpt") - else custom_agent_kwargs - ) - - # List of experts to be loaded - experts = get_experts() - - # Initialize interpreter - interpreter = create_interpreter(settings.MODEL_NAME) - - # Initialize and return the agent - return initialize_agent( - experts, - interpreter, - agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, - verbose=True, - agent_kwargs=agent_kwargs, - handle_parsing_errors=True, - ) - - -# Function to create an interpreter based on model name -def create_interpreter(model_name): - # OpenAI models - if model_name.startswith("gpt"): - return ChatOpenAI( - model=model_name, - temperature=0.3, - streaming=True, - ) - # Google models - elif model_name.startswith("gemini"): - # via Google AI studio - if settings.GOOGLE_GEMINI_API_KEY is not None: - return ChatGoogleGenerativeAI( - model=model_name, - google_api_key=settings.GOOGLE_GEMINI_API_KEY, - temperature=0.3, - streaming=True, - ) - # via Google Cloud Vertex AI - else: - return ChatVertexAI( - model=model_name, - project=settings.GOOGLE_CLOUD_PROJECT_ID, - temperature=0.3, - streaming=True, - ) - # local models via Ollama - else: - return ChatOllama( - model=model_name, - base_url=settings.LLM_API_BASE, - ) - - -@memoize -def get_agent(session_id: str) -> AgentExecutor: - if settings.MODEL_NAME.startswith("gemini") or settings.MODEL_NAME.startswith("gpt"): - return create_tool_call_agent(session_id) - return create_react_agent(session_id) - - -# Function to create a tool calling agent -def create_tool_call_agent(session_id: str): - # Initialize language model - interpreter = create_interpreter(settings.MODEL_NAME) - - # Define prompt - prompt = ChatPromptTemplate.from_messages( - [ - ( - "system", - SYSTEM_PROMPT_V2, - ), - ("placeholder", "{chat_history}"), - ("human", "{input}"), - ("placeholder", "{agent_scratchpad}"), - ] - ) - - # List of experts - experts = get_experts() - - # Construct the Tools agent - agent = create_tool_calling_agent(interpreter, experts, prompt) - - # Create an agent executor by passing in the agent and tools - agent_executor = AgentExecutor(agent=agent, tools=experts, verbose=True) - return agent_executor diff --git a/src/openagent/agent/postgres_history.py b/src/openagent/agent/postgres_history.py deleted file mode 100644 index de06f401..00000000 --- a/src/openagent/agent/postgres_history.py +++ /dev/null @@ -1,45 +0,0 @@ -import json -import logging -from typing import List - -from langchain.schema import ( - BaseChatMessageHistory, -) -from langchain.schema.messages import BaseMessage, messages_from_dict -from toolz.curried import compose_left, filter, map - -from openagent.db.database import DBSession -from openagent.db.models import ChatHistory - -logger = logging.getLogger(__name__) - - -class PostgresChatMessageHistory(BaseChatMessageHistory): - """Chat message history stored in a Postgres database.""" - - def __init__( - self, - session_id: str, - ): - self.session_id = session_id - - @property - def messages(self) -> List[BaseMessage]: # type: ignore - with DBSession() as db_session: - histories = db_session.query(ChatHistory).filter(ChatHistory.session_id == self.session_id).all() - lst = compose_left( - map(compose_left(lambda x: x.message, json.loads)), - filter(lambda x: x["type"] in ["ai", "human"]), - list, - )(histories) - return messages_from_dict(lst) - - def add_message(self, message: BaseMessage) -> None: - # saved by stream callback - pass - - def clear(self) -> None: - ChatHistory.filter(session_id=self.session_id).delete() - - def __del__(self) -> None: - pass diff --git a/src/openagent/agent/session_title.py b/src/openagent/agent/session_title.py deleted file mode 100644 index 9105a79c..00000000 --- a/src/openagent/agent/session_title.py +++ /dev/null @@ -1,49 +0,0 @@ -from dotenv import load_dotenv -from langchain.chains import LLMChain -from langchain.prompts import PromptTemplate -from langchain_community.chat_models import ChatOllama -from langchain_google_vertexai import ChatVertexAI -from langchain_openai import ChatOpenAI -from loguru import logger - -from openagent.conf.env import settings -from openagent.db.database import DBSession -from openagent.db.models import ChatSession - -load_dotenv() - - -async def agen_session_title(user_id: str, session_id: str, history: str) -> list[str]: - prompt = PromptTemplate( - template=""" -Based on the following user chat history, generate a session title. \ -Your response words should less than 10 words and return directly. - -History: -{history} -Session Title: - """, - input_variables=["history"], - ) - if settings.MODEL_NAME.startswith("gpt"): - model = ChatOpenAI( - model=settings.MODEL_NAME, - openai_api_base=settings.LLM_API_BASE, - temperature=0.5, - ) - elif settings.MODEL_NAME.startswith("gemini"): - model = ChatVertexAI(model_name=settings.MODEL_NAME) - else: - model = ChatOllama(model=settings.MODEL_NAME, base_url=settings.LLM_API_BASE) - interpreter = LLMChain(llm=model, prompt=prompt) - logger.info(f"start to generate session title based on history: {history}") - output = await interpreter.arun( - history=history, - metadata={"agentName": "openagent-chainlit", "userId": user_id}, - ) - output = output.strip("'").strip('"') - logger.info(f"session title generated: {output}") - with DBSession() as db_session: - db_session.query(ChatSession).filter(ChatSession.session_id == session_id).update({ChatSession.title: output}) - db_session.commit() - return output diff --git a/src/openagent/agent/stream_callback.py b/src/openagent/agent/stream_callback.py deleted file mode 100644 index 3605f515..00000000 --- a/src/openagent/agent/stream_callback.py +++ /dev/null @@ -1,265 +0,0 @@ -import asyncio -import json -import uuid -from typing import Any, AsyncIterator, Dict, List, Literal, Optional, Union, cast -from uuid import UUID - -from langchain.callbacks.base import AsyncCallbackHandler -from langchain.schema import AgentFinish, BaseMessage, LLMResult, _message_to_dict - -from openagent.agent.ctx_var import chat_req_ctx, resp_msg_id -from openagent.db.database import DBSession -from openagent.db.models import ChatHistory -from openagent.dto.cb_content import CbContent, CbContentType - - -class StreamCallbackHandler(AsyncCallbackHandler): - queue: asyncio.Queue[CbContent] - - done: asyncio.Event - is_on_chain_start_called: bool = False - - current_llm_block_id: Optional[str] = None - current_tool_block_id: Optional[str] = None - - current_tool_start_content: Optional[dict] = None - - @property - def always_verbose(self) -> bool: - return True - - def __init__(self) -> None: - self.queue = asyncio.Queue() - self.done = asyncio.Event() - - async def on_llm_start(self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any) -> None: - # If two calls are made in a row, this resets the state - self.done.clear() - self.current_llm_block_id = str(uuid.uuid4()) - - async def on_llm_end( - self, - response: LLMResult, - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - **kwargs: Any, - ) -> None: - output_str = response.generations[0][0].text - if output_str is None or output_str == "": - return - - with DBSession() as db_session: - msg_id = resp_msg_id.get() - chat_req = chat_req_ctx.get() - - ai_message = BaseMessage( - content=output_str, - type="ai", - additional_kwargs={"block_id": self.current_llm_block_id}, - ) - db_session.add( - ChatHistory( - user_id=chat_req.user_id, - message_id=msg_id, - session_id=chat_req.session_id, - message=json.dumps(_message_to_dict(ai_message)), - ) - ) - db_session.commit() - - async def on_llm_new_token(self, token: str, **kwargs: Any) -> None: - if token is not None and token != "": - self.queue.put_nowait( - CbContent( - content=token, - type=CbContentType.llm_content, - block_id=self.current_llm_block_id, - ) - ) - - async def on_chain_start( - self, - serialized: Dict[str, Any], - inputs: Dict[str, Any], - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - metadata: Optional[Dict[str, Any]] = None, - **kwargs: Any, - ) -> None: - if self.is_on_chain_start_called: - return - - self.is_on_chain_start_called = True - with DBSession() as db_session: - chat_req = chat_req_ctx.get() - human_message = BaseMessage( - content=inputs["input"], - type="human", - additional_kwargs={"block_id": str(uuid.uuid4())}, - ) - db_session.add( - ChatHistory( - user_id=chat_req.user_id, - message_id=chat_req.message_id, - session_id=chat_req.session_id, - message=json.dumps(_message_to_dict(human_message)), - ) - ) - db_session.commit() - - def show_tool_block(self, tool_name) -> bool: - if tool_name in [ - "token", - "swap", - "transfer", - "collection", - "network", - "feed", - "dapp", - "account", - "executor", - ]: - return True - return False - - async def on_tool_start( - self, - serialized: Dict[str, Any], - input_str: str, - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - metadata: Optional[Dict[str, Any]] = None, - **kwargs: Any, - ) -> None: - tool_name = serialized["name"] - show = self.show_tool_block(tool_name) - if not show: - return - self.current_tool_block_id = str(uuid.uuid4()) - - try: - tool_input = json.loads(input_str.replace("'", '"')) - except Exception: - tool_input = "" - await self.queue.put( - CbContent( - content={ - "tool_name": tool_name, - "input": tool_input, - }, - type=CbContentType.tool_content, - block_id=self.current_tool_block_id, - ) - ) - - self.current_tool_start_content = tool_input - - async def on_tool_end( - self, - output: str, - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - **kwargs: Any, - ) -> None: - tool_name = kwargs["name"] - show = self.show_tool_block(tool_name) - if not show: - return - try: - end_index = output.rfind("}") - output_str = output[: end_index + 1] - output_json = json.loads(output_str) - except Exception: - output_json = json.loads(output) - - await self.queue.put( - CbContent( - content={"tool_name": tool_name, "output": output_json}, - type=CbContentType.tool_content, - block_id=self.current_tool_block_id, - ) - ) - with DBSession() as db_session: - msg_id = resp_msg_id.get() - chat_req = chat_req_ctx.get() - ai_message = BaseMessage( - content=json.dumps( - { - "tool_name": tool_name, - "output": output_json, - "input": self.current_tool_start_content, - } - ), - type="tool", - additional_kwargs={"block_id": self.current_tool_block_id}, - ) - db_session.add( - ChatHistory( - user_id=chat_req.user_id, - message_id=msg_id, - session_id=chat_req.session_id, - message=json.dumps(_message_to_dict(ai_message)), - ) - ) - db_session.commit() - - async def on_agent_finish( - self, - finish: AgentFinish, - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - **kwargs: Any, - ) -> None: - self.done.set() - - async def on_llm_error( - self, - error: BaseException, - *, - run_id: UUID, - parent_run_id: Optional[UUID] = None, - tags: Optional[List[str]] = None, - **kwargs: Any, - ) -> None: - self.done.set() - return await super().on_llm_error(error, run_id=run_id, parent_run_id=parent_run_id, tags=tags, **kwargs) - - # TODO implement the other methods - - async def aiter(self) -> AsyncIterator[CbContent]: - while not self.queue.empty() or not self.done.is_set(): - # Wait for the next token in the queue, - # but stop waiting if the done event is set - done, other = await asyncio.wait( - [ - # NOTE: If you add other tasks here, update the code below, - # which assumes each set has exactly one task each - asyncio.ensure_future(self.queue.get()), - asyncio.ensure_future(self.done.wait()), - ], - return_when=asyncio.FIRST_COMPLETED, - ) - - # Cancel the other task - if other: - other.pop().cancel() - - # Extract the value of the first completed task - token_or_done = cast(Union[CbContent, Literal[True]], done.pop().result()) - - # If the extracted value is the boolean True, the done event was set - if token_or_done is True: - break - - # Otherwise, the extracted value is a token, which we yield - yield token_or_done diff --git a/src/openagent/agent/suggested_question.py b/src/openagent/agent/suggested_question.py deleted file mode 100644 index cfc04bc0..00000000 --- a/src/openagent/agent/suggested_question.py +++ /dev/null @@ -1,65 +0,0 @@ -import json - -from dotenv import load_dotenv -from langchain.chains import LLMChain -from langchain.prompts import PromptTemplate -from langchain_community.chat_models import ChatOllama -from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_google_vertexai import ChatVertexAI -from langchain_openai import ChatOpenAI -from loguru import logger - -from openagent.conf.env import settings - -load_dotenv() - - -async def agen_suggested_questions(user_id: str, history: str) -> list[str]: - prompt = PromptTemplate( - template=""" -Suggest follow up questions based on the user chat history. - -Return Format: -["question1", "question2", "question3"] - -Example: - -Q: -eth price? -A: -["What is the price of BTC?", "What is ETH?", "Can you list some hot tokens on Ethereum?"] - -Q: -what is the price of BTC? -A: -["What is the price of ETH?", "What is the price of BTC?", "Can you list some hot tokens on Ethereum?"] - ------------------------------------------------------------------ -Q: -{history} -A:""", - input_variables=["history"], - ) - if settings.MODEL_NAME.startswith("gpt"): - model = ChatOpenAI( - model=settings.MODEL_NAME, - openai_api_base=settings.LLM_API_BASE, - temperature=0.5, - ) - elif settings.MODEL_NAME.startswith("gemini"): - if settings.GOOGLE_GEMINI_API_KEY is not None: - model = ChatGoogleGenerativeAI(model=settings.MODEL_NAME, google_api_key=settings.GOOGLE_GEMINI_API_KEY, temperature=0.5) - else: - model = ChatVertexAI(model_name=settings.MODEL_NAME, project=settings.GOOGLE_CLOUD_PROJECT_ID, temperature=0.5) - else: - model = ChatOllama(model=settings.MODEL_NAME, base_url=settings.LLM_API_BASE) - interpreter = LLMChain(llm=model, prompt=prompt) - logger.info(f"start to generate suggested questions based on history: {history}") - output = await interpreter.arun( - history=history, - ) - logger.info(f"suggested questions generated: {output}") - # parse output, it's json array str - lst = json.loads(output) - logger.info(f"suggested questions parsed: {lst}") - return lst diff --git a/src/openagent/agent/system_prompt.py b/src/openagent/agent/system_prompt.py deleted file mode 100644 index 7cf65993..00000000 --- a/src/openagent/agent/system_prompt.py +++ /dev/null @@ -1,107 +0,0 @@ -# Description: This file contains the system prompt, which is loaded at the beginning of each conversation. -SYSTEM_PROMPT = """Your designated name is OpenAgent, developed by RSS3.io. \ -You possess proficiency in all matters related to web3. - -You can providing answers to questions and help users to trade or transfer tokens. - -Your answer should be detailed and include puns or jokes where possible \ -And keep a lively, enthusiastic, and energetic tone, maybe include some emojis. - -If you don't know the answer to the question, \ -you can ask the user to rephrase the question or ask for more information. - -When use transfer or swap tool, you should ask the user to edit or confirm the transaction, \ -and don't show the transaction link to the user. - -Return format: -You are committed to providing responses in markdown format for enhanced readability. -""" - -SYSTEM_PROMPT_V2 = """ -You are OpenAgent, an advanced AI assistant developed by RSS3.io, specializing in all matters related to web3. You possess the ability to call functions and use self-recursion, enhancing your problem-solving capabilities. - -Key Characteristics and Abilities: -1. Web3 Expertise: You are proficient in blockchain technology, cryptocurrencies, DeFi, NFTs, and all aspects of the web3 ecosystem. - -2. Function Calling: You can call functions to perform tasks or retrieve information. Always wait for function results before proceeding with your response. - -3. Self-Recursion: Utilize agentic frameworks for reasoning and planning to address complex queries effectively. - -4. Response Style: - - Provide detailed answers in markdown format for enhanced readability. - - Maintain a lively, enthusiastic, and energetic tone. - - Include puns, jokes, or emojis where appropriate to keep the conversation engaging. - -5. Problem-Solving Approach: - - Analyze function results thoroughly before deciding on next steps. - - Call additional functions if needed to gather more information or perform actions. - - Don't make assumptions about function input values; ask for clarification if necessary. - -6. Handling Uncertainty: - - If you don't know the answer, use google search in search expert tool to find relevant information. - -7. User Interaction: - - Guide users through complex processes step-by-step. - - Offer explanations of web3 concepts when relevant to the conversation. - - Be patient and willing to clarify or elaborate on any point. - -Remember, your goal is to assist users with their web3-related queries and tasks while providing an informative and enjoyable interaction experience. -""" - -FEED_PROMPT = """ -Here are the raw activities: - -{activities_data} - -- Before answering, please first summarize how many actions the above activities have been carried out. -- Display the key information in each operation, such as time, author, specific content, etc., and display this information in a markdown list format. -- Finally, give a specific answer to the question. -""" - - -custom_agent_kwargs = { - "prefix": """ -Your designated name is RSS3 OpenAgent, developed by RSS3, \ -you have the capability to call upon tools to aid in answering questions about web3. -Assistants may prompt the user to employ specific tools to gather information that might be helpful in addressing the user's initial question. -Here are tools' schemas: - """, - "format_instructions": r""" -When responding, you must exclusively use one of the following two formats: - -**Option 1:** -If you're suggesting that the user utilizes a tool, format your response as a markdown code snippet according to this schema: -```json -{{{{ - "action": string, // The action to be taken. Must be one of {tool_names} - "action_input": dict // The parameters for the action. MUST be a dict object -}}}} -``` -e.g. -```json -{{{{ - "action": "search", - "action_input": {{{{ - "query": "price of ETH", - "search_type": "google", - }}}} -}}}} -``` - -**Option 2:** -If you observable the tool's results, or you're providing a direct final response to the user, format your response as a markdown code snippet following this schema: - -```json -{{{{ - "action": "Final Answer", // MUST be literal string "Final Answer", other forms are not acceptable - "action_input": string // This should contain your response to the user, in human-readable language -}}}} -``` -""", - "suffix": """ -YOU MUST FOLLOW THESE INSTRUCTIONS CAREFULLY. -1. To respond to the users message, you can use only one tool at a time. -2. When using a tool, only respond with the tool call. Nothing else. Do not add any additional notes, explanations or white space. Never escape with a backslash. -3. REMEMBER to respond with a markdown code snippet of a json blob with a single action, and nothing else. -""", -} diff --git a/src/openagent/conf/env.py b/src/openagent/conf/env.py deleted file mode 100644 index 1d2ffc63..00000000 --- a/src/openagent/conf/env.py +++ /dev/null @@ -1,27 +0,0 @@ -from typing import Optional - -from dotenv import load_dotenv -from pydantic import Field -from pydantic_settings import BaseSettings - -load_dotenv() - - -class Settings(BaseSettings): - MODEL_NAME: str = Field(default="gemini-1.5-pro", env="MODEL_NAME").lower() - LLM_API_BASE: Optional[str] = Field(default=None) - GOOGLE_CLOUD_PROJECT_ID: Optional[str] = Field(default=None) - GOOGLE_GEMINI_API_KEY: Optional[str] = Field(default=None) - SERPAPI_API_KEY: Optional[str] = Field(default=None, env="SERPAPI_API_KEY") - NFTSCAN_API_KEY: Optional[str] = Field(default=None, env="NFTSCAN_API_KEY") - DB_CONNECTION: str = Field(..., env="DB_CONNECTION") - RSS3_DATA_API: str = Field(default="https://gi.rss3.io", env="RSS3_DATA_API") - RSS3_SEARCH_API: str = Field(default="https://devnet.rss3.io/search", env="RSS3_SEARCH_API") - - CHAINLIT_AUTH_SECRET: Optional[str] = Field(default=None, env="CHAINLIT_AUTH_SECRET") - OAUTH_AUTH0_CLIENT_ID: Optional[str] = Field(default=None, env="OAUTH_AUTH0_CLIENT_ID") - OAUTH_AUTH0_CLIENT_SECRET: Optional[str] = Field(default=None, env="OAUTH_AUTH0_CLIENT_SECRET") - OAUTH_AUTH0_DOMAIN: Optional[str] = Field(default=None, env="OAUTH_AUTH0_DOMAIN") - - -settings = Settings() diff --git a/src/openagent/dto/cb_content.py b/src/openagent/dto/cb_content.py deleted file mode 100644 index bae3026e..00000000 --- a/src/openagent/dto/cb_content.py +++ /dev/null @@ -1,19 +0,0 @@ -from enum import Enum - -from pydantic import BaseModel - - -class CbContentType(str, Enum): - llm_content = "llm_content" - tool_content = "tool_content" - - -class CbToolContent(BaseModel): - content: object - tool_name: str - - -class CbContent(BaseModel): - type: CbContentType - content: object - block_id: str | None = None diff --git a/src/openagent/dto/chat_history.py b/src/openagent/dto/chat_history.py deleted file mode 100644 index ef371b38..00000000 --- a/src/openagent/dto/chat_history.py +++ /dev/null @@ -1,108 +0,0 @@ -import json -from datetime import datetime -from enum import Enum - -from pydantic import BaseModel -from toolz.curried import groupby - -from openagent.dto.chat_req import ChatReqType -from openagent.dto.chat_resp import ChatRespType - - -class ChatSession(BaseModel): # type: ignore - session_id: str - title: str | None - - @classmethod - def from_orm(cls, obj): - return ChatSession( - session_id=obj.session_id, - title=obj.title, - ) - - -class ChatMessageRole(str, Enum): - ai = "ai" - human = "human" - - @classmethod - def from_type(cls, type0: str): - if type0 == "ai": - return ChatMessageRole.ai - if type0 == "human": - return ChatMessageRole.human - if type0 == "tool": - return ChatMessageRole.ai - raise ValueError(f"Unknown role: {type0}") - - -class ChatMessageContent(BaseModel): # type: ignore - type: ChatRespType | ChatReqType - block_id: str | None = None - body: object - - -class ChatMessage(BaseModel): # type: ignore - message_id: str - role: ChatMessageRole - content: list[ChatMessageContent] - send_at: datetime - - @classmethod - def from_orm(cls, entities): - msg_id2msgs = groupby(lambda x: x.message_id, entities) - - res = [] - skip_msg_ids = set() - for entity in entities: - if entity.message_id in skip_msg_ids: - continue - else: - skip_msg_ids.add(entity.message_id) - msgs = msg_id2msgs[entity.message_id] - first_msg = msgs[0] - first_msg_json = json.loads(first_msg.message) - contents = [] - for msg in msgs: - msg_type = None - msg_json = json.loads(msg.message) - lc_msg_type = msg_json["type"] - if lc_msg_type in ["ai", "human"]: - msg_type = "natural_language" - if lc_msg_type == "tool": - msg_type = "tool" - - block_id = msg_json["data"]["additional_kwargs"]["block_id"] - - contents.append( - ChatMessageContent( - block_id=block_id, - type=msg_type, - body=to_json(msg_json["data"]["content"]), - ) - ) - - # reverse the order of contents - contents.reverse() - res.append( - ChatMessage( - message_id=first_msg.message_id, - role=ChatMessageRole.from_type(first_msg_json["type"]), - content=contents, - send_at=first_msg.send_at, - ) - ) - - return res - - -def to_json(obj): - try: - return json.loads(obj) - except Exception: - return obj - - -class ChatHistory(BaseModel): - title: str | None - messages: list[ChatMessage] diff --git a/src/openagent/dto/chat_req.py b/src/openagent/dto/chat_req.py deleted file mode 100644 index 9ae3fb57..00000000 --- a/src/openagent/dto/chat_req.py +++ /dev/null @@ -1,16 +0,0 @@ -from enum import Enum - -from pydantic import BaseModel, Field - - -class ChatReqType(str, Enum): - natural_language = "natural_language" - order_placement_request = "order_placement_request" - - -class ChatReq(BaseModel): - session_id: str = Field(example="1234567890") - message_id: str = Field(example="1234567890") - user_id: str = Field(example="clnx2bsgi000008l68gxi8q72") - type: ChatReqType = Field(example="natural_language") - body: str = Field(example="transfer 0.001 ct to vitalik.eth") diff --git a/src/openagent/dto/chat_resp.py b/src/openagent/dto/chat_resp.py deleted file mode 100644 index 1b82912d..00000000 --- a/src/openagent/dto/chat_resp.py +++ /dev/null @@ -1,19 +0,0 @@ -from enum import Enum - -from pydantic import BaseModel - - -class ChatRespType(str, Enum): - natural_language = "natural_language" - order_placement_inquiry = "order_placement_inquiry" - suggested_questions = "suggested_questions" - session_title = "session_title" - tool = "tool" - error = "error" - - -class ChatResp(BaseModel): - message_id: str | None - block_id: str | None = None - type: ChatRespType - body: object diff --git a/src/openagent/dto/error.py b/src/openagent/dto/error.py deleted file mode 100644 index 46dfe6f3..00000000 --- a/src/openagent/dto/error.py +++ /dev/null @@ -1,7 +0,0 @@ -from pydantic import BaseModel, Field - - -class ErrorResp(BaseModel): - code: int - data: object = Field(default="") - message: str diff --git a/src/openagent/dto/mutation.py b/src/openagent/dto/mutation.py deleted file mode 100644 index 8c3c442b..00000000 --- a/src/openagent/dto/mutation.py +++ /dev/null @@ -1,23 +0,0 @@ -from pydantic import BaseModel - - -class Swap(BaseModel): - from_token: str - from_token_address: str - to_token: str - to_token_address: str - amount: str - type: str = "swap" - from_chain_name: str - to_chain_name: str - - -class Transfer(BaseModel): - # task_id: str - to_address: str - token: str - token_address: str - chain_id: str - amount: str - logoURI: str # noqa - decimals: int diff --git a/src/openagent/dto/session.py b/src/openagent/dto/session.py deleted file mode 100644 index fb42e64e..00000000 --- a/src/openagent/dto/session.py +++ /dev/null @@ -1,102 +0,0 @@ -from datetime import datetime -from enum import Enum -from typing import ClassVar - -from pydantic import BaseModel, Field - -from openagent.db.models import ChatSession - - -class SessionTreeNodeDTOType(str, Enum): - folder = "folder" - session = "session" - - -class SessionTreeNodeDTO(BaseModel): - session_id: str = Field(description="session id") - parent_id: str | None = Field(example=None, default=None, description="parent id, if null, is root folder") - title: str | None = Field(default=None, description="session title") - order: int = Field(description="order in parent folder, session will sort by order desc") - created_at: datetime = Field(description="create time") - children: list | None = [] - type: SessionTreeNodeDTOType = SessionTreeNodeDTOType.folder - - def __hash__(self): - return hash(self.session_id) ^ hash(self.type) - - def __lt__(self, other): - # sort by type , folder first, order asc, created_at desc - if self.type != other.type: - return self.type == SessionTreeNodeDTOType.folder - if self.order != other.order: - return self.order > other.order - return self.created_at < other.created_at - - -def build_session_tree_node(node: ChatSession) -> SessionTreeNodeDTO: - return SessionTreeNodeDTO( - session_id=node.session_id, - title=node.title, - order=node.order, - parent_id=node.parent_id, - created_at=node.created_at, - type=node.type, - ) - - -class NewSessionFolderDTO(BaseModel): - user_id: str = Field(example="jackma") - title: str = Field(example="folder1") - order: int = Field(example=1, description="order in parent folder, session will sort by order desc") - parent_id: str | None = Field( - example=None, - default=None, - description="parent id, if null, will create root folder", - ) - - class Config: - json_schema_extra: ClassVar = {"example": {"user_id": "jackma", "title": "folder1", "order": 0}} - - -class SessionTab(str, Enum): - favorite = "favorite" - recent = "recent" - - -class UpdateSessionDTO(BaseModel): - user_id: str = Field(example="jackma") - session_id: str = Field(example="1234567890") - title: str | None = Field( - example=None, - default=None, - description="session title, if null, will not update", - ) - order: int | None = Field( - example=None, - default=None, - description="session order, if null, will not update", - ) - tab: SessionTab | None = Field( - example=None, - default=None, - description="session tab, if null, will not update", - ) - parent_id: str | None = Field( - example=None, - default=None, - description="parent id, if null, will not update", - ) - - -class MoveSessionDTO(BaseModel): - user_id: str = Field(description="user id", example="jackma") - from_session_id: str = Field(description="source session id", example="1234567890") - to_session_tab: SessionTab = Field( - description="target tab, favorite or recent. " "if recent, to_session_id will be ignored", - example="favorite", - ) - to_session_id: str | None = Field( - description="target parent session id, only valid when" " to_session_tab is favorite, if null, " "will move to root folder", - example="0987654321", - default=None, - ) diff --git a/src/openagent/dto/task.py b/src/openagent/dto/task.py deleted file mode 100644 index 09b56522..00000000 --- a/src/openagent/dto/task.py +++ /dev/null @@ -1,85 +0,0 @@ -from datetime import datetime -from enum import Enum - -from pydantic import BaseModel, Field - - -class TransferDTO(BaseModel): - user_id: str = Field(description="user id", example="clnx2bsgi000008l68gxi8q72") - task_id: str = Field(description="task id", example="1") - executor_id: int = Field(description="executor id", example=1) - to_address: str = Field( - description="address to transfer", - example="0xFcf62726dbf3a9C2765f138111AA04Bf50bD67D6", - ) - amount: str = Field(description="amount to transfer", example="0.001") - token_address: str = Field( - description="token address", - example="0x4d2bf3A34a2311dB4b3D20D4719209EDaDBf69b6", - ) - token: str = Field(description="token", example="ETH") - logoURI: str - decimals: int - - -class ConfirmTransferDTO(BaseModel): - user_id: str = Field(description="user id", example="clnx2bsgi000008l68gxi8q72") - task_id: str = Field(description="task id", example="1") - executor_id: int = Field(description="executor id", example=1) - to_address: str = Field( - description="address to transfer", - example="0xFcf62726dbf3a9C2765f138111AA04Bf50bD67D6", - ) - amount: str = Field(description="amount to transfer", example="0.001") - token_address: str = Field( - description="token address", - example="0x4d2bf3A34a2311dB4b3D20D4719209EDaDBf69b6", - ) - - -class CancelTransferDTO(BaseModel): - user_id: str = Field(description="user id", example="clnx2bsgi000008l68gxi8q72") - task_id: str = Field(description="task id", example="1") - - -class TransferQueryDTO(BaseModel): - executor_id: int = Field(description="executor id", example=1) - to_address: str = Field( - description="address to transfer", - example="0xFcf62726dbf3a9C2765f138111AA04Bf50bD67D6", - ) - amount: str = Field(description="amount to transfer", example="0.001") - token_address: str = Field( - description="token address", - example="0x4d2bf3A34a2311dB4b3D20D4719209EDaDBf69b6", - ) - token: str = Field(description="token", example="ETH") - logoURI: str | None = Field(description="logo uri", example="https://li.quest/logo.png") - decimals: int | None = Field(description="decimals", example=18) - - -class TaskStatus(str, Enum): - idle = "idle" - pending = "pending" - running = "running" - done = "done" - canceled = "canceled" - failed = "failed" - - -class TaskType(str, Enum): - transfer = "transfer" - # swap = "swap" - - -class TaskDTO(BaseModel): - task_id: str - user_id: str - session_id: str - type: TaskType - body: TransferQueryDTO | object = None - status: TaskStatus - created_at: datetime - hash: str | None = None - run_at: datetime | None = None - done_at: datetime | None = None diff --git a/src/openagent/experts/article_expert.py b/src/openagent/experts/article_expert.py deleted file mode 100644 index 1225f1e2..00000000 --- a/src/openagent/experts/article_expert.py +++ /dev/null @@ -1,55 +0,0 @@ -import json -from typing import Optional, Type - -from langchain.callbacks.manager import ( - AsyncCallbackManagerForToolRun, - CallbackManagerForToolRun, -) -from langchain.tools import BaseTool -from pydantic import BaseModel, Field - -from openagent.index.pgvector_store import build_vector_store - - -class ARGS(BaseModel): - keyword: str = Field( - description="keyword to search for", - ) - - -class ArticleExpert(BaseTool): - name = "ArticleExecutor" - description = ( - "A tool for searching web3-related articles. If you lack knowledge about web3, " - "you can use this tool to find relevant articles that can help answer " - "your questions. Provide a keyword or phrase related to the topic " - "you want to search for, and the tool will return a list of " - "relevant article excerpts. " - "The articles are sourced from IQWiki and Mirror." - ) - args_schema: Type[ARGS] = ARGS - - def _run( - self, - keyword: str, - run_manager: Optional[CallbackManagerForToolRun] = None, - ) -> str: - return self.search_articles(keyword) - - async def _arun( - self, - keyword: str, - run_manager: Optional[AsyncCallbackManagerForToolRun] = None, - ) -> str: - return self.search_articles(keyword) - - @staticmethod - def search_articles(keyword: str) -> str: - store = build_vector_store() - retriever = store.as_retriever( - search_type="similarity_score_threshold", - search_kwargs={"score_threshold": 0.8, "k": 3}, - ) - res = retriever.get_relevant_documents(keyword) - docs = list(map(lambda x: x.page_content, res)) - return json.dumps(docs) diff --git a/src/openagent/experts/dune_expert.py b/src/openagent/experts/dune_expert.py deleted file mode 100644 index e2b68bb9..00000000 --- a/src/openagent/experts/dune_expert.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Optional, Type - -import requests -from langchain.callbacks.manager import ( - AsyncCallbackManagerForToolRun, - CallbackManagerForToolRun, -) -from langchain.tools import BaseTool -from pydantic import BaseModel, Field - -from openagent.conf.env import settings - - -class DuneSchema(BaseModel): - query: str = Field(description="The search query keywords for Dune dashboard search.") - - -async def dune_search(query: str) -> str: - url = f"{settings.RSS3_SEARCH_API}/dune/search?keyword={query}" - headers = {"Accept": "*/*", "Content-Type": "application/x-www-form-urlencoded"} - response = requests.request("GET", url, headers=headers) - return response.text - - -class DuneExpert(BaseTool): - name = "DuneExecutor" - description = """This tool searches for charts, data visualizations, and dashboards on Dune Analytics. \ -Use this tool to find visual representations of blockchain data, trend analysis, and market overviews.""" - args_schema: Type[DuneSchema] = DuneSchema - - def _run( - self, - query: str, - run_manager: Optional[CallbackManagerForToolRun] = None, - ) -> str: - raise NotImplementedError - - async def _arun( - self, - query: str, - run_manager: Optional[AsyncCallbackManagerForToolRun] = None, - ) -> str: - return await dune_search(query) diff --git a/src/openagent/experts/google_expert.py b/src/openagent/experts/google_expert.py deleted file mode 100644 index 05937274..00000000 --- a/src/openagent/experts/google_expert.py +++ /dev/null @@ -1,42 +0,0 @@ -from typing import Optional, Type - -from langchain import SerpAPIWrapper -from langchain.callbacks.manager import ( - AsyncCallbackManagerForToolRun, - CallbackManagerForToolRun, -) -from langchain.tools import BaseTool -from pydantic import BaseModel, Field - - -class GoogleSchema(BaseModel): - query: str = Field(description="The search query keywords for Google search.") - - -async def google_search(query: str) -> str: - search_wrapper = SerpAPIWrapper( - search_engine="google", - params={"engine": "google"}, - ) - return search_wrapper.run(query) - - -class GoogleExpert(BaseTool): - name = "GoogleExecutor" - description = """A versatile search tool that retrieves up-to-date information from the web. \ -Use for current events, project details, fact-checking, and general research across various topics.""" - args_schema: Type[GoogleSchema] = GoogleSchema - - def _run( - self, - query: str, - run_manager: Optional[CallbackManagerForToolRun] = None, - ) -> str: - raise NotImplementedError - - async def _arun( - self, - query: str, - run_manager: Optional[AsyncCallbackManagerForToolRun] = None, - ) -> str: - return await google_search(query) diff --git a/src/openagent/experts/nft_expert.py b/src/openagent/experts/nft_expert.py deleted file mode 100644 index 0f3dd16b..00000000 --- a/src/openagent/experts/nft_expert.py +++ /dev/null @@ -1,94 +0,0 @@ -import json -from typing import Optional, Type - -import requests -from langchain.callbacks.manager import ( - AsyncCallbackManagerForToolRun, - CallbackManagerForToolRun, -) -from langchain.tools import BaseTool -from pydantic import BaseModel, Field - -from openagent.conf.env import settings - - -class ARGS(BaseModel): - action: str = Field(description="Specify the operation to perform: 'search' for NFT " "collection search, 'rank' for collection ranking") - keyword: str = Field( - default="", - description="NFT symbol or collection name, required only for 'action=search'", - ) - sort_field: str = Field( - default="market_cap", - description=""" -Default is market_cap. Options include: volume_1d, volume_7d, volume_30d, -volume_total, volume_change_1d, -volume_change_7d, volume_change_30d, sales_1d, sales_7d, sales_30d, -sales_total, sales_change_1d, -sales_change_7d, sales_change_30d, -floor_price, market_cap. Required only for 'action=rank' - """, - ) - - -class NFTExpert(BaseTool): - name = "NFTExecutor" - description = "A tool for searching NFT collections or getting collection rankings." - args_schema: Type[ARGS] = ARGS - - def _run( - self, - action: str, - keyword: Optional[str] = None, - sort_field: Optional[str] = "market_cap", - run_manager: Optional[CallbackManagerForToolRun] = None, - ) -> str: - if action == "search": - if keyword is None: - return "Error: A keyword is required for search operation." - return self.search_nft_collections(keyword) - elif action == "rank": - return self.collection_ranking(sort_field) - else: - return "Error: Unknown operation type. " "Please specify 'action' as 'search' or 'rank'." - - async def _arun( - self, - action: str, - keyword: Optional[str] = None, - sort_field: Optional[str] = "market_cap", - run_manager: Optional[AsyncCallbackManagerForToolRun] = None, - ) -> str: - return self._run(action, keyword, sort_field, run_manager) - - @staticmethod - def search_nft_collections(keyword: str) -> str: - """Search for NFT collections.""" - url = "https://restapi.nftscan.com/api/v2/collections/filters" - payload = json.dumps( - { - "contract_address_list": [], - "name_fuzzy_search": "false", - "show_collection": "false", - "sort_direction": "desc", - "sort_field": "floor_price", - "name": "", - "symbol": keyword, - } - ) - headers = { - "Content-Type": "application/json", - "X-API-KEY": f"{settings.NFTSCAN_API_KEY}", - } - - response = requests.post(url, headers=headers, data=payload) - return response.text - - @staticmethod - def collection_ranking(sort_field: str) -> str: - """Search for NFT collections ranking.""" - url = f"https://restapi.nftscan.com/api/v2/statistics/ranking/collection?sort_field={sort_field}&sort_direction=desc&limit=20" - - headers = {"X-API-KEY": f"{settings.NFTSCAN_API_KEY}"} - response = requests.get(url, headers=headers) - return response.text diff --git a/src/openagent/experts/price_expert.py b/src/openagent/experts/price_expert.py deleted file mode 100644 index 1c1ce464..00000000 --- a/src/openagent/experts/price_expert.py +++ /dev/null @@ -1,48 +0,0 @@ -from typing import Optional, Type - -import ccxt -from langchain.callbacks.manager import ( - AsyncCallbackManagerForToolRun, - CallbackManagerForToolRun, -) -from langchain.tools import BaseTool -from loguru import logger -from pydantic import BaseModel, Field - - -class ARGS(BaseModel): - token: str = Field(description="token symbol") - - -class PriceExpert(BaseTool): - name = "PriceExecutor" - description = "use this tool to get the price of a token." - args_schema: Type[ARGS] = ARGS - - def _run( - self, - token: str, - run_manager: Optional[CallbackManagerForToolRun] = None, - ) -> str: - raise NotImplementedError - - async def _arun( - self, - token: str, - run_manager: Optional[AsyncCallbackManagerForToolRun] = None, - ) -> str: - return f"The price of {token} is {fetch_price(token)}" - - -_exchanges = [ccxt.binance(), ccxt.okx(), ccxt.gateio(), ccxt.mexc()] - - -def fetch_price(base: str, quote: str = "USDT") -> float: - for exchange in _exchanges: - try: - trades = exchange.fetch_trades(f"{base.upper()}/{quote}", limit=1) - last = trades[0]["price"] - return last - except Exception as e: # noqa - logger.warning(f"fetch price error from {exchange.id}: {e}") - raise Exception(f"no market found for {base}") diff --git a/src/openagent/router/chat.py b/src/openagent/router/chat.py deleted file mode 100644 index fbe55272..00000000 --- a/src/openagent/router/chat.py +++ /dev/null @@ -1,16 +0,0 @@ -from fastapi import APIRouter -from loguru import logger -from sse_starlette import EventSourceResponse - -from openagent.dto.chat_req import ChatReq -from openagent.dto.chat_resp import ChatResp -from openagent.service.chat import answer - -chat_router = APIRouter(tags=["Chat"]) - - -@chat_router.post("/stream_chat/", response_model=ChatResp) -async def stream_chat(req: ChatReq) -> EventSourceResponse: - logger.info(f"Received request: req={req}") - generator = answer(req) - return EventSourceResponse(generator) diff --git a/src/openagent/router/onboarding.py b/src/openagent/router/onboarding.py deleted file mode 100644 index e1653f54..00000000 --- a/src/openagent/router/onboarding.py +++ /dev/null @@ -1,56 +0,0 @@ -import json -import re -import uuid - -from fastapi import APIRouter -from loguru import logger -from sse_starlette import EventSourceResponse - -from openagent.dto.chat_req import ChatReq -from openagent.dto.chat_resp import ChatResp - -onboarding_router = APIRouter(tags=["Onboarding"]) - -introduction_text = """\ -Hey there, digital explorer! 🚀 I'm OpenAgent, your trusty sidekick in the vast and vibrant universe of web3! 🌐✨ - -What can I do, you ask? Well, buckle up because I'm here to navigate you through the cosmic maze of blockchain networks, tokens, NFTs, and decentralized applications (dApps). Whether you're looking to trade some tokens, transfer some crypto to your buddy, or just curious about the latest NFT craze, I've got your back! - -Here's a quick rundown of my superpowers: - -- **Token Transfer**: Need to send some USDC to a friend? I'll guide your transaction to its destination faster than a shooting star! 🌠💸 -- **Blockchain Intel**: Curious about the gas prices on Ethereum or the block height on Binance Smart Chain? I'll fetch that info like a space hound chasing a comet! 🐕🌠 -- **NFT Insights**: Wondering what's hot in the NFT universe? I'll bring you market caps, floor prices, and the most popular NFTs out there! 🖼️📈 -- **DApp Discovery**: Looking for the next DeFi gem or a social dApp to connect with fellow spacefarers? I'll be your guide to the decentralized cosmos! 🌌🔍 -- **Crypto Queries**: Got questions about token prices or market caps? I'm like a crypto-encyclopedia with the latest data! 📚💹 - -So, if you're ready to embark on a web3 adventure, just hit me up and let's make some interstellar magic happen! And remember, I'm here to keep things fun and lively, so don't be surprised if I drop a pun or two along the way! 🎉👾 -""" # noqa: E501 - -suggested_questions = [ - "What's the current gas price on Ethereum?", - "Can you show me the latest transactions for vitalik.eth?", - "What's the floor price of the Bored Ape Yacht Club NFT collection?", - "How much is 1 ETH in USDT right now?", - "Tell me about the defi project with the highest TVL.", - "Who are the popular users on Uniswap?", - "Can you help me transfer 0.1 $ETH to vitalik.eth?", -] - - -def generate_stream(): - unique_message_id = str(uuid.uuid4()) - - tokens = re.findall(r"\S+\s*", introduction_text) - - for token in tokens: - yield f'{{"message_id":"{unique_message_id}","block_id":null,"type":"natural_language","body":{json.dumps(token)}}}' - - questions_json = json.dumps(suggested_questions) - yield f'{{"message_id":"{unique_message_id}","block_id":null,"type":"suggested_questions","body":{questions_json}}}' - - -@onboarding_router.post("/onboarding/", response_model=ChatResp) -async def onboarding(req: ChatReq): - logger.info(f"Received request: req={req}") - return EventSourceResponse(generate_stream()) diff --git a/src/openagent/router/session.py b/src/openagent/router/session.py deleted file mode 100644 index 2d30fd63..00000000 --- a/src/openagent/router/session.py +++ /dev/null @@ -1,104 +0,0 @@ -from fastapi import APIRouter, Query -from fastapi.responses import JSONResponse -from loguru import logger -from sqlalchemy.exc import NoResultFound -from starlette import status - -from openagent.dto.chat_history import ChatHistory, ChatSession -from openagent.dto.error import ErrorResp -from openagent.dto.session import ( - NewSessionFolderDTO, - SessionTreeNodeDTO, - UpdateSessionDTO, -) -from openagent.service.history import ( - delete_histories, - get_histories, -) -from openagent.service.history import get_recent_sessions as get_recent_sessions0 -from openagent.service.session import ( - create_session_folder as create_session_folder0, -) -from openagent.service.session import ( - get_session_tree as get_session_tree0, -) -from openagent.service.session import ( - update_session as update_session0, -) - -session_router = APIRouter(tags=["Session"]) - - -@session_router.get("/sessions/tab/recent", response_model=list[ChatSession]) -async def get_recent_sessions(user_id: str = Query(example="jackma"), offset: int = 0, limit: int = 50) -> list[str]: - logger.info(f"Received request: user_id={user_id}, offset={offset}, limit={limit}") - return get_recent_sessions0(user_id, offset, limit) - - -@session_router.get("/sessions/tab/favorites", response_model=list[SessionTreeNodeDTO]) -async def get_favorite_session_tree(user_id: str = Query(example="jackma")): - logger.info(f"Received request: user_id={user_id}") - return get_session_tree0(user_id) - - -@session_router.get("/sessions/{user_id}/{session_id}", response_model=ChatHistory | ErrorResp) -async def get_session_chat_history(user_id: str, session_id: str, offset: int = 0, limit: int = 50): - logger.info( - f"Received request: user_id={user_id}, session_id={session_id},\ -offset={offset}, limit={limit}" - ) - try: - return get_histories(user_id, session_id, offset, limit) - except NoResultFound: - return JSONResponse( - status_code=status.HTTP_400_BAD_REQUEST, - content=ErrorResp(code=400, message="Not found").dict(), - ) - - -@session_router.patch( - "/sessions/update_session", -) -async def update_session_partially(update_session_dto: UpdateSessionDTO): - try: - title = update_session_dto.title - order = update_session_dto.order - user_id = update_session_dto.user_id - session_id = update_session_dto.session_id - tab = update_session_dto.tab - parent_id = update_session_dto.parent_id - logger.info( - f"Received request: user_id={user_id}, session_id={session_id}, \ -title={title}, order={order}, tab={tab}, parent_id={parent_id}" - ) - update_session0(user_id, session_id, title, order, tab, parent_id) - except Exception as e: - return JSONResponse( - status_code=status.HTTP_400_BAD_REQUEST, - content=ErrorResp(code=400, message=e.__str__()).dict(), - ) - - -@session_router.delete("/sessions/{user_id}/{session_id}") -async def delete_session_by_id(user_id: str, session_id: str): - logger.info(f"Received request: user_id={user_id}, session_id={session_id}") - delete_histories(user_id, session_id) - - -@session_router.post("/sessions/create_session_folder") -async def create_session_folder(folder: NewSessionFolderDTO): - try: - user_id = folder.user_id - title = folder.title - parent_id = folder.parent_id - order = folder.order - logger.info( - f"Received request: user_id={user_id}, title={title}, \ -parent_id={parent_id}, order={order}" - ) - create_session_folder0(user_id, title, parent_id, order) - except Exception as e: - return JSONResponse( - status_code=status.HTTP_400_BAD_REQUEST, - content=ErrorResp(code=400, message=e.__str__()).dict(), - ) diff --git a/src/openagent/service/chat.py b/src/openagent/service/chat.py deleted file mode 100644 index 408382a1..00000000 --- a/src/openagent/service/chat.py +++ /dev/null @@ -1,140 +0,0 @@ -import asyncio -import uuid -from typing import Any, AsyncIterable - -from sqlalchemy.exc import NoResultFound - -from openagent.agent.ctx_var import chat_req_ctx, resp_msg_id -from openagent.agent.function_agent import get_agent -from openagent.agent.session_title import agen_session_title -from openagent.agent.stream_callback import StreamCallbackHandler -from openagent.agent.suggested_question import agen_suggested_questions -from openagent.db.database import DBSession -from openagent.db.models import ChatHistory, ChatSession -from openagent.dto.cb_content import CbContent, CbContentType -from openagent.dto.chat_req import ChatReq -from openagent.dto.chat_resp import ChatResp, ChatRespType - - -async def arun_agent(req: ChatReq, stream_cb: StreamCallbackHandler, resp_msg_id0: str) -> Any: - agent = get_agent(req.session_id) - resp_msg_id.set(resp_msg_id0) - chat_req_ctx.set(req) - - return await agent.ainvoke( - { - "input": req.body, - }, - config={ - "metadata": {"agentName": "openagent-backend", "userId": req.user_id}, - "callbacks": [stream_cb], - }, - ) - - -async def answer(req: ChatReq) -> AsyncIterable[str]: - try: - create_session = await need_create_session(req) - except Exception as e: - yield ChatResp(type=ChatRespType.error, message_id=None, body=e.__str__()).model_dump_json() - return - - stream_cb = StreamCallbackHandler() - - resp_msg_id0 = str(uuid.uuid4()) - - chat_task = asyncio.create_task(arun_agent(req, stream_cb, resp_msg_id0)) - - suggested_questions_task = asyncio.create_task(agen_suggested_questions(req.user_id, req.body)) - - session_title_task = None - if create_session: - session_title_task = asyncio.create_task(agen_session_title(req.user_id, req.session_id, req.body)) - - try: - is_suggested_questions_done = False - is_session_title_done = False - async for cb_content in stream_cb.aiter(): - yield await gen_agent_resp(cb_content, resp_msg_id0) - - if suggested_questions_task.done() and not is_suggested_questions_done: - is_suggested_questions_done = True - yield await gen_suggested_questions(suggested_questions_task, resp_msg_id0) - - if ( - create_session - and session_title_task.done() # type: ignore - and not is_session_title_done - ): - is_session_title_done = True - yield await gen_session_title(resp_msg_id0, session_title_task) - - if not is_suggested_questions_done: - yield await gen_suggested_questions(suggested_questions_task, resp_msg_id0) - - if create_session and not is_session_title_done: - yield await gen_session_title(resp_msg_id0, session_title_task) - - except Exception as e: - print(f"Caught exception: {e}") - finally: - stream_cb.done.set() - await chat_task - - -async def gen_agent_resp(cb_content: CbContent, resp_msg_id0: str) -> str: - resp_type = get_resp_type(cb_content.type) - resp = ChatResp( - message_id=resp_msg_id0, - block_id=cb_content.block_id, - type=resp_type, - body=cb_content.content, - ) - return resp.model_dump_json() - - -async def gen_session_title(resp_msg_id0, session_title_task): - session_title = await session_title_task - return ChatResp( - message_id=resp_msg_id0, - type=ChatRespType.session_title, - body=session_title, - ).model_dump_json() - - -async def gen_suggested_questions(suggested_questions_task, resp_msg_id0): - questions = await suggested_questions_task - return ChatResp( - message_id=resp_msg_id0, - type=ChatRespType.suggested_questions, - body=questions, - ).model_dump_json() - - -def get_resp_type(cb_content_type: CbContentType) -> ChatRespType: - if cb_content_type == CbContentType.llm_content: - return ChatRespType.natural_language - if cb_content_type == CbContentType.tool_content: - return ChatRespType.tool - raise ValueError(f"Unknown cb_content_type: {cb_content_type}") - - -async def need_create_session(req: ChatReq) -> bool: - session_id = req.session_id - with DBSession() as db_session: - try: - session = db_session.query(ChatSession).filter(ChatSession.session_id == session_id).one() - if session.deleted_at is not None: - raise ValueError("Session is deleted") - if db_session.query(ChatHistory).filter(ChatHistory.message_id == req.message_id).count() > 0: - raise ValueError("Message id already exists") - except NoResultFound: - db_session.add( - ChatSession( - session_id=session_id, - user_id=req.user_id, - ) - ) - db_session.commit() - return True - return False diff --git a/src/openagent/service/history.py b/src/openagent/service/history.py deleted file mode 100644 index f95a02e0..00000000 --- a/src/openagent/service/history.py +++ /dev/null @@ -1,88 +0,0 @@ -from datetime import datetime - -from sqlalchemy import desc -from sqlalchemy.sql.operators import and_ -from toolz.curried import compose_left, map - -from openagent.db.database import DBSession -from openagent.db.models import ChatHistory, ChatSession -from openagent.dto.chat_history import ChatHistory as ChatHistoryDto -from openagent.dto.chat_history import ChatMessage as ChatMessageDto -from openagent.dto.chat_history import ChatSession as ChatSessionDto -from openagent.dto.session import SessionTab, SessionTreeNodeDTOType - - -def get_sessions(user_id: str, offset: int, limit: int): - with DBSession() as db_sess: - all0 = ( - db_sess.query(ChatSession) - .filter( - and_( - and_( - ChatSession.user_id == user_id, - ChatSession.deleted_at == None, - ), - ChatSession.type == SessionTreeNodeDTOType.session, - ) - ) - .order_by(desc("created_at")) - .limit(limit) - .offset(offset) - .all() - ) - return compose_left(map(ChatSessionDto.from_orm), list)(all0) - - -def get_recent_sessions(user_id: str, offset: int, limit: int): - with DBSession() as db_sess: - all0 = ( - db_sess.query(ChatSession) - .filter( - and_( - and_( - and_( - ChatSession.user_id == user_id, - ChatSession.deleted_at == None, - ), - ChatSession.tab == SessionTab.recent, - ), - ChatSession.type == SessionTreeNodeDTOType.session, - ) - ) - .order_by(desc("created_at")) - .limit(limit) - .offset(offset) - .all() - ) - return compose_left(map(ChatSessionDto.from_orm), list)(all0) - - -def get_histories(user_id: str, session_id: str, offset: int, limit: int) -> ChatHistoryDto: - with DBSession() as db_sess: - all0 = ( - db_sess.query(ChatHistory) - .filter(and_(ChatHistory.session_id == session_id, ChatHistory.user_id == user_id)) - .order_by(desc("send_at")) - .limit(limit) - .offset(offset) - .all() - ) - - msgs = ChatMessageDto.from_orm(all0) - - one = db_sess.query(ChatSession).filter(ChatSession.session_id == session_id).one() - return ChatHistoryDto( - title=one.title, - messages=msgs, - ) - - -def delete_histories(user_id: str, session_id: str): - with DBSession() as db_sess: - db_sess.query(ChatSession).filter( - and_( - ChatSession.session_id == session_id, - ChatSession.user_id == user_id, - ) - ).update({"deleted_at": datetime.utcnow()}) - db_sess.commit() diff --git a/src/openagent/service/session.py b/src/openagent/service/session.py deleted file mode 100644 index 9de98270..00000000 --- a/src/openagent/service/session.py +++ /dev/null @@ -1,236 +0,0 @@ -import uuid -from enum import Enum - -from sqlalchemy.exc import NoResultFound -from sqlalchemy.sql.operators import and_ -from toolz.curried import compose_left, map - -from openagent.db.database import DBSession -from openagent.db.models import ChatSession -from openagent.dto.session import ( - SessionTab, - SessionTreeNodeDTO, - SessionTreeNodeDTOType, - build_session_tree_node, -) - - -def create_session_folder(user_id: str, title: str, parent_folder_id: str | None, order): - with DBSession() as db_session: - if parent_folder_id is not None: - try: - _ = ( - db_session.query(ChatSession) - .filter( - and_( - ChatSession.type == SessionTreeNodeDTOType.folder, - and_( - ChatSession.user_id == user_id, - ChatSession.session_id == parent_folder_id, - ), - ) - ) - .one() - ) - except NoResultFound: - raise ValueError("Parent folder not found") - folder = ChatSession( - user_id=user_id, - title=title, - parent_id=parent_folder_id, - session_id=str(uuid.uuid4()), - order=order, - type=SessionTreeNodeDTOType.folder, - tab=SessionTab.favorite, - ) - db_session.add(folder) - db_session.commit() - - -def update_session( - user_id: str, - session_id: str, - title: str | None, - order: int | None, - tab: SessionTab | None, - parent_id: str | None, -): - with DBSession() as db_session: - try: - session = ( - db_session.query(ChatSession) - .filter( - and_( - ChatSession.user_id == user_id, - ChatSession.session_id == session_id, - ) - ) - .one() - ) - except NoResultFound: - raise ValueError("Session not found") - if title is not None: - session.title = title - if order is not None: - session.order = order - if tab is not None: - session.tab = tab - if parent_id is not None: - try: - parent_session = ( - db_session.query(ChatSession) - .filter( - and_( - ChatSession.user_id == user_id, - ChatSession.session_id == parent_id, - ) - ) - .one() - ) - if parent_session.type == SessionTreeNodeDTOType.session and session.type == SessionTreeNodeDTOType.folder: - raise ValueError("Can't move folder to session") - if parent_session.parent_id == session_id: - raise ValueError("Can't move folder to child") - if parent_session.deleted_at is not None: - raise ValueError("Parent session is deleted") - if session.deleted_at is not None: - raise ValueError("Session is deleted") - - except NoResultFound: - raise ValueError("Parent session not found") - session.parent_id = parent_id - db_session.commit() - return session - - -class SessionMoveDirection(str, Enum): - f2f = "favorite2favorite" - f2r = "favorite2recent" - r2f = "recent2favorite" - r2r = "recent2recent" - - -def calc_session_move_direction(from_session_tab, to_session_tab): - recent = SessionTab.recent - favorite = SessionTab.favorite - - if to_session_tab is recent and from_session_tab is recent: - return SessionMoveDirection.r2r - - if to_session_tab is favorite and from_session_tab is favorite: - return SessionMoveDirection.f2f - - if to_session_tab is favorite and from_session_tab is recent: - return SessionMoveDirection.r2f - - if to_session_tab is recent and from_session_tab is favorite: - return SessionMoveDirection.f2r - - -def move_session_folder( - user_id: str, - from_session_id: str, - to_session_id: str | None, - to_session_tab: SessionTab, -): - with DBSession() as db_session: - from_session = fetch_from_session(db_session, from_session_id, user_id) - - from_session_tab = from_session.tab - direction = calc_session_move_direction(from_session_tab, to_session_tab) - - if direction is SessionMoveDirection.r2r: - raise ValueError("Can't move recent to recent") - - if direction is SessionMoveDirection.f2r: - from_session.parent_id = None - from_session.tab = to_session_tab - db_session.commit() - return - - if direction is SessionMoveDirection.f2f or direction is SessionMoveDirection.r2f: - if to_session_id is None: - from_session.parent_id = None - from_session.tab = to_session_tab - db_session.commit() - return - - parent_session = fetch_parent_session(db_session, to_session_id, user_id) - - if parent_session.type == SessionTreeNodeDTOType.session: - raise ValueError("Can't move folder to session") - if parent_session.parent_id == from_session_id: - raise ValueError("Can't move folder to child") - - from_session.parent_id = to_session_id - db_session.commit() - - -def fetch_parent_session(db_session, to_session_id, user_id): - try: - parent_session = ( - db_session.query(ChatSession) - .filter( - and_( - ChatSession.user_id == user_id, - ChatSession.session_id == to_session_id, - ) - ) - .one() - ) - - except NoResultFound: - raise ValueError("Parent session not found") - return parent_session - - -def fetch_from_session(db_session, from_session_id, user_id): - try: - session = ( - db_session.query(ChatSession) - .filter( - and_( - ChatSession.user_id == user_id, - ChatSession.session_id == from_session_id, - ) - ) - .one() - ) - except NoResultFound: - raise ValueError("Session not found") - return session - - -def build_folder_tree( - nodes: list[SessionTreeNodeDTO], - parent_id: int | None = None, -): - unsorted_tree = do_build_folder_tree(nodes, parent_id) - return sorted(unsorted_tree) - - -def do_build_folder_tree(nodes, parent_id): - tree = [] - for node in nodes: - if node.parent_id == parent_id: - session_nodes = do_build_folder_tree(nodes, node.session_id) - node.children = build_sorted_children(node.children, session_nodes) - tree.append(node) - return tree - - -def build_sorted_children(old_children: list[SessionTreeNodeDTO], new_children: list[SessionTreeNodeDTO]): - old_children = old_children or [] - new_children = new_children or [] - unique_children = list(set(old_children + new_children)) - sorted_children = sorted(unique_children, key=lambda x: (x.order, x.created_at), reverse=True) - return sorted_children - - -def get_session_tree(user_id: str) -> list[SessionTreeNodeDTO]: - with DBSession() as db_session: - sessions = db_session.query(ChatSession).filter_by(user_id=user_id, deleted_at=None, tab=SessionTab.favorite).all() - session_tree_nodes: list[SessionTreeNodeDTO] = compose_left(map(build_session_tree_node), list)(sessions) - - tree = build_folder_tree(session_tree_nodes) - return tree diff --git a/src/openagent/ui/app.py b/src/openagent/ui/app.py deleted file mode 100644 index fa5377a0..00000000 --- a/src/openagent/ui/app.py +++ /dev/null @@ -1,136 +0,0 @@ -import json -from typing import Dict, Optional - -import chainlit as cl -import chainlit.data as cl_data -from chainlit.data.sql_alchemy import SQLAlchemyDataLayer -from langchain.memory import ConversationBufferMemory -from langchain.schema.runnable.config import RunnableConfig -from langchain_core.messages import FunctionMessage -from langchain_core.utils.json import parse_json_markdown -from loguru import logger - -from openagent.agent.function_agent import get_agent -from openagent.conf.env import settings - - -def enable_auth(): - auth_settings = [settings.CHAINLIT_AUTH_SECRET, settings.OAUTH_AUTH0_CLIENT_ID, settings.OAUTH_AUTH0_CLIENT_SECRET, settings.OAUTH_AUTH0_DOMAIN] - return all(arg is not None for arg in auth_settings) - - -if enable_auth(): - # Set up the data layer - cl_data._data_layer = SQLAlchemyDataLayer(conninfo=settings.DB_CONNECTION) - - -def setup_runnable(): - """Set up the runnable agent.""" - agent = get_agent("") - cl.user_session.set("runnable", agent) - - -def initialize_memory() -> ConversationBufferMemory: - """Initialize conversation memory.""" - return ConversationBufferMemory(return_messages=True) - - -if enable_auth(): - - @cl.oauth_callback - def oauth_callback( - provider_id: str, - token: str, - raw_user_data: Dict[str, str], - default_user: cl.User, - ) -> Optional[cl.User]: - """OAuth callback function.""" - return default_user - - -@cl.on_chat_start -async def on_chat_start(): - """Callback function when chat starts.""" - cl.user_session.set("memory", initialize_memory()) - setup_runnable() - - -if enable_auth(): - - @cl.on_chat_resume - async def on_chat_resume(thread: cl_data.ThreadDict): - """Callback function when chat resumes.""" - memory = initialize_memory() - root_messages = [m for m in thread["steps"]] - for message in root_messages: - if message["type"] == "user_message": - memory.chat_memory.add_user_message(message["output"]) - else: - memory.chat_memory.add_ai_message(message["output"]) - - cl.user_session.set("memory", memory) - setup_runnable() - - -def build_token(token_symbol: str, token_address: str): - return f"{token_symbol}{'--' + token_address.lower() if token_symbol != 'ETH' else ''}" - - -async def handle_function_message(message: FunctionMessage, msg: cl.Message): - """Handle FunctionMessage type of messages.""" - if message.name == "SwapExecutor": - swap_dict = json.loads(message.content) - await do_stream_swap_widget(msg, swap_dict) - - -async def do_stream_swap_widget(msg, swap_dict): - from_chain = swap_dict["from_chain_name"] - to_chain = swap_dict["to_chain_name"] - from_token_ = swap_dict["from_token"] - from_token_address = swap_dict["from_token_address"] - to_token = swap_dict["to_token"] - to_token_address = swap_dict["to_token_address"] - from_amount = swap_dict["amount"] - widget = ( - f"""""" - ) - await msg.stream_token(widget) - - -@cl.on_message -async def on_message(message: cl.Message): - """Callback function to handle user messages.""" - memory = cl.user_session.get("memory") # type: ConversationBufferMemory - runnable = cl.user_session.get("runnable") - - msg = cl.Message(content="") - - try: - async for chunk in runnable.astream( - {"input": message.content}, config=RunnableConfig(callbacks=[cl.LangchainCallbackHandler(stream_final_answer=True)]) - ): - if "output" in chunk: - await msg.stream_token(chunk["output"]) - elif "messages" in chunk: - for message in chunk["messages"]: - if isinstance(message, FunctionMessage): - await handle_function_message(message, msg) - else: - await react_tool_call_handle(message, msg) - except Exception as e: - logger.exception(e) - - await msg.send() - memory.chat_memory.add_user_message(message.content) - memory.chat_memory.add_ai_message(msg.content) - - -async def react_tool_call_handle(message, msg): - try: - swap_dict = parse_json_markdown(message.content) - if "type" in swap_dict and swap_dict["type"] == "SwapExecutor": - await do_stream_swap_widget(msg, swap_dict) - except Exception as e: - logger.warning("Failed to handle react tool call message", e) diff --git a/src/public/test.css b/src/public/test.css deleted file mode 100644 index 9bcfae24..00000000 --- a/src/public/test.css +++ /dev/null @@ -1,8 +0,0 @@ -iframe { - border: none; - width: 100%; -} - -div.MuiBox-root > div.MuiBox-root > div.MuiStack-root.watermark { - display: none; -} diff --git a/src/tests/__init__.py b/src/tests/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/tests/cases.py b/src/tests/cases.py deleted file mode 100644 index ea027845..00000000 --- a/src/tests/cases.py +++ /dev/null @@ -1,51 +0,0 @@ -import asyncio -import time - -from openagent.agent.function_agent import get_agent - -question_list = [ - # "show some web3 articles?", - "What is the price of ETH?", - # "What did vitalik.eth do recently?", - # "Send 0.01 eth to vitalik.eth", - # "Swap 1 eth to usdt", - # "What is MODE chain?", - # "Give me the bitcoin price chart", - # "List some popular NFTs?", - # "What's the largest dex with highest trading volume on Solana?", - # "When ETH ETF 19b-4 forms approved?", - # "Who are the main investors of EigenLayer?", -] - - -async def dummy(_) -> None: - pass - - -async def init(): - # vertexai.init(project='openagent-422907') - - # langchain.debug=True - start = time.time() - agent = get_agent("11") - for question in question_list: - print(f"Question: {question}") - - await agent.ainvoke( - {"input": question}, - config={ - "metadata": {"agentName": "openagent-backend", "userId": "123"}, - }, - ) - - time.sleep(1) - - print("--------------") - - end = time.time() - - print(f"Time elapsed: {end - start}") - - -if __name__ == "__main__": - asyncio.run(init()) diff --git a/src/widget/index.html b/src/widget/index.html deleted file mode 100644 index 73c6f5a2..00000000 --- a/src/widget/index.html +++ /dev/null @@ -1,13 +0,0 @@ - - - - - - - Vite + React + TS - - -
- - - diff --git a/src/widget/src/App.tsx b/src/widget/src/App.tsx deleted file mode 100644 index 030cf439..00000000 --- a/src/widget/src/App.tsx +++ /dev/null @@ -1,19 +0,0 @@ -/* eslint-disable no-console */ - -function getQueryParams() { - const params = new URLSearchParams(window.location.search); - return { - fromAmount: params.get('fromAmount') || 11, - fromChain: params.get('fromChain') || 1, - fromToken: params.get('fromToken') || 'eth', - toChain: params.get('toChain') || 1, - toToken: params.get('toToken') || 'weth', - }; -} - -export function App() { - - return <> -

hello world

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100% rename from src/openagent/service/__init__.py rename to tests/__init__.py diff --git a/src/openagent/ui/__init__.py b/tests/agent_trajectory/__init__.py similarity index 100% rename from src/openagent/ui/__init__.py rename to tests/agent_trajectory/__init__.py diff --git a/tests/agent_trajectory/asset_management.py b/tests/agent_trajectory/asset_management.py new file mode 100644 index 00000000..afd60d30 --- /dev/null +++ b/tests/agent_trajectory/asset_management.py @@ -0,0 +1,83 @@ +import asyncio +import unittest + +from langchain_core.messages import HumanMessage + +from openagent.agents.asset_management import asset_management_agent +from openagent.conf.llm_provider import set_current_llm + + +class TestAssetManagementAgent(unittest.TestCase): + def setUp(self): + set_current_llm("gemini-1.5-pro") + # set_current_llm("gpt-3.5-turbo") + # set_current_llm("llama3.1:latest") + + def test_swap_eth_to_usdt(self): + async def async_test(): + events = asset_management_agent.astream_events( + {"messages": [HumanMessage(content="Can you swap 20 eth to usdt ?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "SwapExecutor") + self.assertEqual(event_data_input_["from_token"], "ETH") + self.assertEqual(event_data_input_["to_token"], "USDT") + self.assertEqual(event_data_input_["amount"], "20") + + asyncio.run(async_test()) + + def test_query_user_token_balance(self): + async def async_test(): + events = asset_management_agent.astream_events( + {"messages": [HumanMessage(content="Can you check 0x33c0814654fa367ce67d8531026eb4481290e63c eth balance ?", name="human")]}, + version="v1", + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "TokenBalanceExecutor") + self.assertEqual(event_data_input_["wallet_address"], "0x33c0814654fa367ce67d8531026eb4481290e63c") + self.assertEqual(event_data_input_["chain"], "eth-mainnet") + + asyncio.run(async_test()) + + def test_query_user_nft_holdings(self): + async def async_test(): + events = asset_management_agent.astream_events( + {"messages": [HumanMessage(content="Can you check 0x33c0814654fa367ce67d8531026eb4481290e63c nft holdings ?", name="human")]}, + version="v1", + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "NFTBalanceExecutor") + self.assertEqual(event_data_input_["wallet_address"], "0x33c0814654fa367ce67d8531026eb4481290e63c") + self.assertEqual(event_data_input_["chain"], "eth-mainnet") + + asyncio.run(async_test()) + + def test_transfer_eth(self): + async def async_test(): + events = asset_management_agent.astream_events( + {"messages": [HumanMessage(content="Can you transfer 0.5 ETH to 0x742d35Cc6634C0532925a3b844Bc454e4438f44e?", name="human")]}, + version="v1", + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "TransferExecutor") + self.assertEqual(event_data_input_["to_address"], "0x742d35Cc6634C0532925a3b844Bc454e4438f44e") + self.assertEqual(event_data_input_["token"], "ETH") + self.assertEqual(event_data_input_["amount"], "0.5") + + asyncio.run(async_test()) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/agent_trajectory/block_explore.py b/tests/agent_trajectory/block_explore.py new file mode 100644 index 00000000..47bb5661 --- /dev/null +++ b/tests/agent_trajectory/block_explore.py @@ -0,0 +1,32 @@ +import asyncio +import unittest + +from langchain_core.messages import HumanMessage + +from openagent.agents.block_explore import block_explorer_agent +from openagent.conf.llm_provider import set_current_llm + + +class TestBlockExploreAgent(unittest.TestCase): + def setUp(self): + # set_current_llm("gemini-1.5-pro") + set_current_llm("gpt-3.5-turbo") + # set_current_llm("llama3.1:latest") + + def test_query_block_height(self): + async def async_test(): + events = block_explorer_agent.astream_events( + {"messages": [HumanMessage(content="What's the latest block height on the Ethereum network?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "BlockChainStatExecutor") + self.assertEqual(event_data_input_["chain"], "ethereum") + + asyncio.run(async_test()) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/agent_trajectory/feed_explore.py b/tests/agent_trajectory/feed_explore.py new file mode 100644 index 00000000..b29943d3 --- /dev/null +++ b/tests/agent_trajectory/feed_explore.py @@ -0,0 +1,134 @@ +import asyncio +import unittest + +from langchain_core.messages import HumanMessage + +from openagent.agents.feed_explore import feed_explorer_agent +from openagent.conf.llm_provider import set_current_llm + + +class TestFeedExploreAgent(unittest.TestCase): + def setUp(self): + set_current_llm("gpt-3.5-turbo") + + def test_query_defi_activities(self): + """ + Test querying recent DeFi activities for a specific Ethereum address. + Validates that the response contains the correct address and is handled by the 'DeFiExecutor'. + """ + + async def async_test(): + events = feed_explorer_agent.astream_events( + { + "messages": [ + HumanMessage(content="Show me recent DeFi activities for address 0x742d35Cc6634C0532925a3b844Bc454e4438f44e", name="human") + ] + }, + version="v1", + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "DeFiExecutor") + self.assertEqual(event_data_input_["address"], "0x742d35Cc6634C0532925a3b844Bc454e4438f44e") + self.assertEqual(event_data_input_["activity_type"], "all") + + asyncio.run(async_test()) + + def test_query_social_activities(self): + """ + Test querying recent social activities for a specific ENS name (vitalik.eth). + Validates that the response contains the correct address and is handled by the 'FeedExecutor'. + """ + + async def async_test(): + events = feed_explorer_agent.astream_events( + {"messages": [HumanMessage(content="What are the recent activities for vitalik.eth?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "FeedExecutor") + self.assertIn("address", event_data_input_) + self.assertEqual(event_data_input_["address"], "vitalik.eth") + + asyncio.run(async_test()) + + def test_query_feed_source(self): + """ + Test querying the latest activities for a specific ENS name (vitalik.eth) from a specific platform (Uniswap) on a specific network (Ethereum). + Validates that the response contains the correct platform, network, and address and is handled by the 'FeedSourceExecutor'. + """ + + async def async_test(): + events = feed_explorer_agent.astream_events( + {"messages": [HumanMessage(content="Show me the latest activities of vitalik.eth from Uniswap on Ethereum", name="human")]}, + version="v1", + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "FeedSourceExecutor") + self.assertIn("platform", event_data_input_) + self.assertEqual(event_data_input_["platform"], "Uniswap") + self.assertIn("network", event_data_input_) + self.assertEqual(event_data_input_["network"], "ethereum") + self.assertIn("address", event_data_input_) + self.assertEqual(event_data_input_["address"], "vitalik.eth") + + asyncio.run(async_test()) + + def test_query_unsupported_network(self): + """ + Test querying activities on an unsupported network (XYZ). + Validates that the response indicates the network is unsupported and mentions the network name (XYZ). + """ + + async def async_test(): + events = feed_explorer_agent.astream_events( + {"messages": [HumanMessage(content="Show me activities on the XYZ network", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + self.assertIn("output", event["data"]) + self.assertIn("Unsupported network", event["data"]["output"]) + self.assertIn("XYZ", event["data"]["output"]) + + asyncio.run(async_test()) + + def test_query_multiple_addresses(self): + """ + Test querying and comparing activities for multiple addresses (vitalik.eth and a specific Ethereum address). + Validates that the response contains both addresses. + """ + + async def async_test(): + events = feed_explorer_agent.astream_events( + { + "messages": [ + HumanMessage(content="Compare activities of vitalik.eth and 0x742d35Cc6634C0532925a3b844Bc454e4438f44e", name="human") + ] + }, + version="v1", + ) + + addresses_checked = set() + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertIn("address", event_data_input_) + addresses_checked.add(event_data_input_["address"]) + + self.assertEqual(len(addresses_checked), 2) + self.assertIn("vitalik.eth", addresses_checked) + self.assertIn("0x742d35Cc6634C0532925a3b844Bc454e4438f44e", addresses_checked) + + asyncio.run(async_test()) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/agent_trajectory/market_analysis.py b/tests/agent_trajectory/market_analysis.py new file mode 100644 index 00000000..a1a3446a --- /dev/null +++ b/tests/agent_trajectory/market_analysis.py @@ -0,0 +1,85 @@ +import asyncio +import unittest + +from langchain_core.messages import HumanMessage + +from openagent.agents.market_analysis import market_analysis_agent +from openagent.conf.llm_provider import set_current_llm + + +class TestMarketAnalysisAgent(unittest.TestCase): + def setUp(self): + # set_current_llm("gemini-1.5-pro") + set_current_llm("gpt-3.5-turbo") + # set_current_llm("llama3.1:latest") + + def test_query_btc_price(self): + async def async_test(): + events = market_analysis_agent.astream_events({"messages": [HumanMessage(content="What's BTC price now?", name="human")]}, version="v1") + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "PriceExecutor") + self.assertEqual(event_data_input_["token"], "BTC") + + asyncio.run(async_test()) + + def test_query_eth_price(self): + async def async_test(): + events = market_analysis_agent.astream_events( + {"messages": [HumanMessage(content="What's the current price of Ethereum?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "PriceExecutor") + self.assertEqual(event_data_input_["token"], "ETH") + + asyncio.run(async_test()) + + def test_query_funding_rate(self): + async def async_test(): + events = market_analysis_agent.astream_events( + {"messages": [HumanMessage(content="What's the funding rate for BTC/USDT in binance?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "FundingRateExecutor") + self.assertEqual(event_data_input_["exchange"], "binance") + self.assertEqual(event_data_input_["symbol"], "BTC/USDT") + + asyncio.run(async_test()) + + def test_query_nft_ranking(self): + async def async_test(): + events = market_analysis_agent.astream_events( + {"messages": [HumanMessage(content="What are the top 5 NFT collections?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + self.assertEqual(event["name"], "NFTRankingExecutor") + + asyncio.run(async_test()) + + def test_query_coin_market(self): + async def async_test(): + events = market_analysis_agent.astream_events( + {"messages": [HumanMessage(content="Give me the market cap for Bitcoin", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "CoinMarketExecutor") + self.assertEqual(event_data_input_["order"], "market_cap_desc") + + asyncio.run(async_test()) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/agent_trajectory/research_analyst.py b/tests/agent_trajectory/research_analyst.py new file mode 100644 index 00000000..76f9cbf5 --- /dev/null +++ b/tests/agent_trajectory/research_analyst.py @@ -0,0 +1,32 @@ +import asyncio +import unittest + +from langchain_core.messages import HumanMessage + +from openagent.agents.project_management import research_analyst_agent +from openagent.conf.llm_provider import set_current_llm + + +class TestResearchAnalystAgent(unittest.TestCase): + def setUp(self): + # set_current_llm("gemini-1.5-pro") + set_current_llm("gpt-3.5-turbo") + # set_current_llm("llama3.1:latest") + + def test_query_project(self): + async def async_test(): + events = research_analyst_agent.astream_events( + {"messages": [HumanMessage(content="Do you know anything about RSS3?", name="human")]}, version="v1" + ) + + async for event in events: + if event["event"] == "on_tool_end": + event_data_input_ = event["data"]["input"] + self.assertEqual(event["name"], "ProjectExecutor") + self.assertEqual(event_data_input_["keyword"], "RSS3") + + asyncio.run(async_test()) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/supervisor_chain.py b/tests/supervisor_chain.py new file mode 100644 index 00000000..e5503804 --- /dev/null +++ b/tests/supervisor_chain.py @@ -0,0 +1,90 @@ +import unittest + +from langchain_core.messages import HumanMessage +from loguru import logger + +from openagent.conf.llm_provider import set_current_llm +from openagent.workflows.supervisor_chain import build_supervisor_chain + + +def next_role(query) -> str: + supervisor_chain = build_supervisor_chain() + resp = supervisor_chain.invoke({"messages": [HumanMessage(content=query, name="human")]}) + logger.info(f"response: {resp}") + return resp["next"] + + +class TestNextRole(unittest.TestCase): + def setUp(self): + # set_current_llm("gemini-1.5-pro") + set_current_llm("gemini-1.5-flash") + # set_current_llm("gpt-3.5-turbo") + # set_current_llm("llama3.1:latest") + + def test_market_analysis(self): + query = "What's the current price of Ethereum and its market trend?" + expected_role = "market_analysis_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_asset_management(self): + query = "Can you check my ETH balance and show me how to swap some for USDC?" + expected_role = "asset_management_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_transfer_expert(self): + query = "Can you help me transfer 0.5 ETH to 0x742d35Cc6634C0532925a3b844Bc454e4438f44e on the Ethereum network?" + expected_role = "asset_management_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_block_explorer(self): + query = "What's the latest block height on the Ethereum network, and what are the current gas fees?" + expected_role = "block_explorer_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_research_analyst(self): + query = "Can you provide a detailed analysis of the Uniswap project," " including its recent developments and market position?" + expected_role = "research_analyst_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_fallback(self): + query = "What's the weather like today in New York?" + expected_role = "fallback_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_multi_step_query(self): + query = ( + "I want to invest in a promising DeFi project. Can you first give me an " + "overview of the current DeFi market trends, then recommend a project, " + "and finally show me how to acquire some tokens of that project?" + ) + expected_role = "market_analysis_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_feed_explorer(self): + query = "What are the recent DeFi activities for the address 0x742d35Cc6634C0532925a3b844Bc454e4438f44e?" + expected_role = "feed_explorer_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_feed_explorer_social(self): + query = "Show me the latest social interactions for vitalik.eth on Farcaster." + expected_role = "feed_explorer_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + def test_feed_explorer_source(self): + query = "What are the most recent activities of vitalik.eth from the Uniswap on Ethereum?" + expected_role = "feed_explorer_agent" + result = next_role(query) + self.assertEqual(result, expected_role, f"Expected {expected_role}, but got {result} for query: {query}") + + +if __name__ == "__main__": + unittest.main() diff --git a/src/widget/.gitignore b/widget/.gitignore similarity index 100% rename from src/widget/.gitignore rename to widget/.gitignore diff --git a/widget/index.html b/widget/index.html new file mode 100644 index 00000000..96704b68 --- /dev/null +++ b/widget/index.html @@ -0,0 +1,15 @@ + + + + + + + Vite + React + TS + + + + +
+ + + diff --git a/src/widget/package.json b/widget/package.json similarity index 77% rename from src/widget/package.json rename to widget/package.json index a0cc7955..268d7d52 100644 --- a/src/widget/package.json +++ b/widget/package.json @@ -1,8 +1,13 @@ { "dependencies": { + "@rainbow-me/rainbowkit": "^2.1.3", + "@tanstack/react-query": "^5.51.16", + "ethers": "^6.13.2", "react": "^18.3.1", "react-dom": "^18.3.1", - "react-router-dom": "^6.24.1" + "react-router-dom": "^6.24.1", + "viem": "^2.18.7", + "wagmi": "^2.12.2" }, "devDependencies": { "@types/events": "^3.0.3", diff --git a/src/widget/public/vite.svg b/widget/public/vite.svg similarity index 100% rename from src/widget/public/vite.svg rename to widget/public/vite.svg diff --git a/widget/src/App.tsx b/widget/src/App.tsx new file mode 100644 index 00000000..4f4700c7 --- /dev/null +++ b/widget/src/App.tsx @@ -0,0 +1,45 @@ +import React from 'react'; +import '@rainbow-me/rainbowkit/styles.css'; +import { RainbowKitProvider, getDefaultConfig } from '@rainbow-me/rainbowkit'; +import { WagmiProvider } from 'wagmi'; +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; +import { mainnet, polygon, optimism, arbitrum } from 'wagmi/chains'; + +/* eslint-disable no-console */ + +export function App() { + + return <> +

hello world

+ +} + +// Configuration for RainbowKit +const config = getDefaultConfig({ + appName: 'My RainbowKit App', + projectId: 'No_ID', + chains: [mainnet, polygon, optimism, arbitrum], + ssr: true, +}); + +// Create a new QueryClient instance for React Query +const queryClient = new QueryClient(); + +/** + * TransferWidgetApp component. + * Wraps children with necessary providers for Wagmi, React Query, and RainbowKit. + * + * @param {Object} props - The component props + * @param {React.ReactNode} props.children - The child components to be wrapped + */ +export function TransferWidgetApp({ children }: { children: React.ReactNode }) { + return ( + + + + {children} + + + + ); +} diff --git a/widget/src/components/PriceChart.tsx b/widget/src/components/PriceChart.tsx new file mode 100644 index 00000000..4364d038 --- /dev/null +++ b/widget/src/components/PriceChart.tsx @@ -0,0 +1,23 @@ +/* eslint-disable no-console */ +function getQueryParams() { + const params = new URLSearchParams(window.location.search); + return { + token: params.get('token') || 'btc', + + }; +} + +export function PriceChart() { + const { + token + } = getQueryParams(); + + return ( + <> +
+ +
+ + ); +} diff --git a/src/widget/src/components/Swap.tsx b/widget/src/components/Swap.tsx similarity index 100% rename from src/widget/src/components/Swap.tsx rename to widget/src/components/Swap.tsx diff --git a/widget/src/components/TransferWidget.module.css b/widget/src/components/TransferWidget.module.css new file mode 100644 index 00000000..afcf6fe8 --- /dev/null +++ b/widget/src/components/TransferWidget.module.css @@ -0,0 +1,123 @@ +.transferWidget { + max-width: 400px; + margin: auto; + border: 1px solid #ccc; + border-radius: 10px; + padding: 20px; + font-family: Arial, sans-serif; + background-color: #fff; /* Ensure the background is white */ + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); /* Add subtle shadow for better appearance */ +} + +.title { + text-align: center; +} + +.accountInfo, +.assetInfo, +.amountInfo, +.addressInfo, +.gasFeeInfo { + margin-bottom: 15px; +} + +.accountInfo p { + margin: 0; + font-size: 14px; + color: #666; +} + +.assetInfo { + display: flex; + align-items: center; +} + +.assetInfo label, +.amountInfo label, +.addressInfo label { + display: block; + margin-bottom: 5px; + font-weight: bold; +} + +.assetDetails { + display: flex; + align-items: center; + margin-left: 10px; +} + +.assetIcon { + font-size: 24px; + margin-right: 10px; +} + +.balance { + margin-left: auto; + color: #666; +} + +.amountInfo input, +.addressInfo input { + width: 100%; + padding: 8px; + border: 1px solid #ccc; + border-radius: 5px; + font-size: 14px; +} + +.gasFeeInfo p { + margin: 5px 0; + font-size: 12px; + color: #666; +} +.buttonGroup { + display: flex; + justify-content: space-between; + margin-top: 15px; +} + +.connectButton, +.transferButton { + width: 48%; + padding: 10px 20px; + font-size: 14px; + border: none; + border-radius: 5px; + cursor: pointer; +} + +.connectButton { + width: 60%; + padding: 10px 20px; + font-size: 14px; + border: none; + border-radius: 5px; + cursor: pointer; + background-color: #007bff; + color: white; +} + +.transferButton { + background-color: #28a745; + color: white; +} + +.connectButton:hover, +.transferButton:hover { + opacity: 0.8; +} + +.status { + margin-top: 15px; + font-size: 12px; + color: #666; + text-align: center; +} + +.transactionInfo, +.error { + font-size: 12px; + color: #666; + text-align: center; + margin-top: 10px; +} diff --git a/widget/src/components/TransferWidget.tsx b/widget/src/components/TransferWidget.tsx new file mode 100644 index 00000000..4cf266ed --- /dev/null +++ b/widget/src/components/TransferWidget.tsx @@ -0,0 +1,145 @@ +import React, { useState, useEffect } from 'react'; +import { ConnectButton } from '@rainbow-me/rainbowkit'; +import { + useSendTransaction, + useWaitForTransactionReceipt, + useAccount, + useBalance, + useConfig, + type BaseError +} from 'wagmi'; +import { parseUnits } from 'viem'; +import styles from './TransferWidget.module.css'; + +// Define the prop types for the TransferWidget component +interface TransferWidgetProps { + token: string; + amount: string; + toAddress: string; +} + +/** + * TransferWidgetComponent - A component for handling cryptocurrency transfers. + */ +const TransferWidgetComponent: React.FC = ({ + token, + amount: initialAmount, + toAddress: initialToAddress, +}) => { + const [currentAmount, setCurrentAmount] = useState(initialAmount); + const [currentToAddress, setCurrentToAddress] = useState(initialToAddress); + const [account, setAccount] = useState(null); + const [status, setStatus] = useState(''); + const { address } = useAccount(); + const config = useConfig(); + const { data: balance } = useBalance({ address, token: token as `0x${string}` }); + + const { + data: hash, + error, + isPending, + sendTransaction + } = useSendTransaction(); + + const { + isLoading: isConfirming, + isSuccess: isConfirmed + } = useWaitForTransactionReceipt({ hash }); + + useEffect(() => { + if (address) { + setAccount(address); + } + }, [address]); + + /** + * Handle form submission for the transfer. + */ + const handleSubmit = (e: React.FormEvent) => { + e.preventDefault(); + if (account) { + sendTransaction({ + to: currentToAddress as `0x${string}`, + value: parseUnits(currentAmount, balance?.decimals || 18), + }); + } else { + setStatus('Wallet is not connected'); + } + }; + + + // Render the component + return ( +
+

Send

+
+

Account 1

+

{account || 'Not connected'}

+
+
+ +
+ {token} + Balance: {balance?.formatted || 0} {token} +
+
+
+ + setCurrentAmount(e.target.value)} + placeholder="Enter amount" + /> +
+
+ + setCurrentToAddress(e.target.value)} + placeholder="Enter recipient address" + /> +
+
+

Estimated gas fee

+

0 Gwei

+

Max fee: 0 ETH

+
+
+ + +
+
{status}
+ {hash &&
Transaction Hash: {hash}
} + {isConfirming &&
Waiting for confirmation...
} + {isConfirmed &&
Transaction confirmed.
} + {error && ( +
Error: {(error as BaseError).shortMessage || error.message}
+ )} +
+ ); +}; + +/** + * TransferWidget - Wrapper component that parses URL parameters and renders TransferWidgetComponent. + */ +export function TransferWidget() { + const params = new URLSearchParams(window.location.search); + const token = params.get('token') || ''; + const amount = params.get('amount') || ''; + const toAddress = params.get('toAddress') || ''; + + // @ts-ignore + return ( + + ); +} + +export default TransferWidget; diff --git a/widget/src/custom.d.ts b/widget/src/custom.d.ts new file mode 100644 index 00000000..98d0cfd4 --- /dev/null +++ b/widget/src/custom.d.ts @@ -0,0 +1,6 @@ +// src/custom.d.ts +declare namespace JSX { + interface IntrinsicElements { + 'gecko-coin-price-chart-widget': any; + } +} diff --git a/widget/src/main.tsx b/widget/src/main.tsx new file mode 100644 index 00000000..79a702f7 --- /dev/null +++ b/widget/src/main.tsx @@ -0,0 +1,27 @@ +import React from 'react'; +import ReactDOM from 'react-dom/client'; +import {App, TransferWidgetApp} from './App'; +import {BrowserRouter as Router, Route, Routes} from "react-router-dom"; +import {Swap} from "./components/Swap"; +import {PriceChart} from "./components/PriceChart"; +import TransferWidget from "./components/TransferWidget"; + +ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render( + + + + + + }/> + }/> + }/> + + + + } /> + + + + , +); diff --git a/src/widget/src/vite-env.d.ts b/widget/src/vite-env.d.ts similarity index 100% rename from src/widget/src/vite-env.d.ts rename to widget/src/vite-env.d.ts diff --git a/src/widget/tsconfig.json b/widget/tsconfig.json similarity index 100% rename from src/widget/tsconfig.json rename to widget/tsconfig.json diff --git a/src/widget/tsconfig.node.json b/widget/tsconfig.node.json similarity index 100% rename from src/widget/tsconfig.node.json rename to widget/tsconfig.node.json diff --git a/src/widget/vite.config.ts b/widget/vite.config.ts similarity index 100% rename from src/widget/vite.config.ts rename to widget/vite.config.ts diff --git a/widget/yarn.lock b/widget/yarn.lock new file mode 100644 index 00000000..6c6c8a88 --- /dev/null +++ b/widget/yarn.lock @@ -0,0 +1,6888 @@ +# THIS IS AN AUTOGENERATED FILE. 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