base on Start building LLM-empowered multi-agent applications in an easier way. English | [**中文**](https://github.com/modelscope/agentscope/blob/main/README_ZH.md) | [**日本語**](https://github.com/modelscope/agentscope/blob/main/README_JA.md) <a href="https://trendshift.io/repositories/10079" target="_blank"><img src="https://trendshift.io/api/badge/repositories/10079" alt="modelscope%2Fagentscope | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> # AgentScope <h1 align="left"> <img src="https://img.alicdn.com/imgextra/i2/O1CN01cdjhVE1wwt5Auv7bY_!!6000000006373-0-tps-1792-1024.jpg" width="600" alt="agentscope-logo"> </h1> Start building LLM-empowered multi-agent applications in an easier way. [](https://arxiv.org/abs/2402.14034) [](https://pypi.org/project/agentscope/) [](https://pypi.org/project/agentscope/) [](https://modelscope.github.io/agentscope/#welcome-to-agentscope-tutorial-hub) [](https://modelscope.github.io/agentscope/) [](https://github.com/modelscope/agentscope/blob/main/docs/ROADMAP.md) [](https://modelscope.cn/studios?name=agentscope&page=1&sort=latest) [](https://agentscope.io/) [](./LICENSE) [](https://modelscope.github.io/agentscope/tutorial/contribute.html) - If you find our work helpful, please kindly cite [our paper](https://arxiv.org/abs/2402.14034). - Visit our [workstation](https://agentscope.io/) to build multi-agent applications with dragging-and-dropping. <h5 align="left"> <a href="https://agentscope.io" target="_blank"> <img src="https://img.alicdn.com/imgextra/i1/O1CN01RXAVVn1zUtjXVvuqS_!!6000000006718-1-tps-3116-1852.gif" width="500" alt="agentscope-workstation" style="box-shadow: 5px 10px 18px #888888;"> </a> </h5> - Welcome to join our community on | [Discord](https://discord.gg/eYMpfnkG8h) | DingTalk | |----------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------| | <img src="https://gw.alicdn.com/imgextra/i1/O1CN01hhD1mu1Dd3BWVUvxN_!!6000000000238-2-tps-400-400.png" width="100" height="100"> | <img src="https://img.alicdn.com/imgextra/i2/O1CN01tuJ5971OmAqNg9cOw_!!6000000001747-0-tps-444-460.jpg" width="100" height="100"> | ---- ## News - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-12-12]** We have updated the [roadmap of AgentScope](https://github.com/modelscope/agentscope/blob/main/docs/ROADMAP.md). - **[2024-09-06]** AgentScope version 0.1.0 is released now. - **[2024-09-03]** AgentScope supports **Web Browser Control** now! Refer to our [example](https://github.com/modelscope/agentscope/tree/main/examples/conversation_with_web_browser_agent) for more details. <h5 align="left"> <video src="https://github.com/user-attachments/assets/6d03caab-6193-4ac6-8b1c-36f152ec02ec" width="45%" alt="web browser control" controls></video> </h5> For older news and updates, check our <a href="https://github.com/modelscope/agentscope/blob/main/docs/news_en.md">Old News</a> --- ## What's AgentScope? AgentScope is an innovative multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: - 🤝 **Easy-to-Use**: Designed for developers, with [fruitful components](https://modelscope.github.io/agentscope/en/tutorial/204-service.html#), [comprehensive documentation](https://modelscope.github.io/agentscope/en/index.html), and broad compatibility. Besides, [AgentScope Workstation](https://agentscope.io/) provides a *drag-and-drop programming platform* and a *copilot* for beginners of AgentScope! - ✅ **High Robustness**: Supporting customized fault-tolerance controls and retry mechanisms to enhance application stability. - 🚀 **Actor-Based Distribution**: Building distributed multi-agent applications in a centralized programming manner for streamlined development. **Supported Model Libraries** AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs. | API | Task | Model Wrapper | Configuration | Some Supported Models | |------------------------|-----------------|---------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------| | OpenAI API | Chat | [`OpenAIChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_chat_template.json) | gpt-4o, gpt-4, gpt-3.5-turbo, ... | | | Embedding | [`OpenAIEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_embedding_template.json) | text-embedding-ada-002, ... | | | DALL·E | [`OpenAIDALLEWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/openai_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#openai-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/openai_dall_e_template.json) | dall-e-2, dall-e-3 | | DashScope API | Chat | [`DashScopeChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_chat_template.json) | qwen-plus, qwen-max, ... | | | Image Synthesis | [`DashScopeImageSynthesisWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br>[template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_image_synthesis_template.json) | wanx-v1 | | | Text Embedding | [`DashScopeTextEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_text_embedding_template.json) | text-embedding-v1, text-embedding-v2, ... | | | Multimodal | [`DashScopeMultiModalWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/dashscope_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#dashscope-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/dashscope_multimodal_template.json) | qwen-vl-max, qwen-vl-chat-v1, qwen-audio-chat | | Gemini API | Chat | [`GeminiChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/gemini_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#gemini-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/gemini_chat_template.json) | gemini-pro, ... | | | Embedding | [`GeminiEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/gemini_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#gemini-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/gemini_embedding_template.json) | models/embedding-001, ... | | ZhipuAI API | Chat | [`ZhipuAIChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/zhipu_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#zhipu-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/zhipu_chat_template.json) | glm-4, ... | | | Embedding | [`ZhipuAIEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/zhipu_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#zhipu-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/zhipu_embedding_template.json) | embedding-2, ... | | ollama | Chat | [`OllamaChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_chat_template.json) | llama3, llama2, Mistral, ... | | | Embedding | [`OllamaEmbeddingWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_embedding_template.json) | llama2, Mistral, ... | | | Generation | [`OllamaGenerationWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/ollama_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#ollama-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/ollama_generate_template.json) | llama2, Mistral, ... | | LiteLLM API | Chat | [`LiteLLMChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/litellm_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#litellm-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/litellm_chat_template.json) | [models supported by litellm](https://docs.litellm.ai/docs/)... | | Yi API | Chat | [`YiChatWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/yi_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/yi_chat_template.json) | yi-large, yi-medium, ... | | Post Request based API | - | [`PostAPIModelWrapper`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/models/post_model.py) | [guidance](https://modelscope.github.io/agentscope/en/tutorial/203-model.html#post-request-api) <br> [template](https://github.com/modelscope/agentscope/blob/main/examples/model_configs_template/postapi_model_config_template.json) | - | **Supported Local Model Deployment** AgentScope enables developers to rapidly deploy local model services using the following libraries. - [ollama (CPU inference)](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#ollama) - [Flask + Transformers](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#with-transformers-library) - [Flask + ModelScope](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#with-modelscope-library) - [FastChat](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#fastchat) - [vllm](https://github.com/modelscope/agentscope/blob/main/scripts/README.md#vllm) **Supported Services** - Web Search - Data Query - Retrieval - Code Execution - File Operation - Text Processing - Multi Modality - Wikipedia Search and Retrieval - TripAdvisor Search - Web Browser Control **Example Applications** - Model - [Using Llama3 in AgentScope](https://github.com/modelscope/agentscope/blob/main/examples/model_llama3) - Conversation - [Basic Conversation](https://github.com/modelscope/agentscope/blob/main/examples/conversation_basic) - [Autonomous Conversation with Mentions](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_mentions) - [Self-Organizing Conversation](https://github.com/modelscope/agentscope/blob/main/examples/conversation_self_organizing) - [Basic Conversation with LangChain library](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_langchain) - [Conversation with ReAct Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_react_agent) - [Conversation in Natural Language to Query SQL](https://github.com/modelscope/agentscope/blob/main/examples/conversation_nl2sql/) - [Conversation with RAG Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_RAG_agents) - [Conversation with gpt-4o](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_gpt-4o) - [Conversation with Software Engineering Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_swe-agent/) - [Conversation with Customized Tools](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_customized_services/) - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Mixture of Agents Algorithm](https://github.com/modelscope/agentscope/blob/main/examples/conversation_mixture_of_agents/) - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation in Stream Mode](https://github.com/modelscope/agentscope/blob/main/examples/conversation_in_stream_mode/) - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with CodeAct Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_codeact_agent/) - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>[Conversation with Router Agent](https://github.com/modelscope/agentscope/blob/main/examples/conversation_with_router_agent/) - Game - [Gomoku](https://github.com/modelscope/agentscope/blob/main/examples/game_gomoku) - [Werewolf](https://github.com/modelscope/agentscope/blob/main/examples/game_werewolf) - Distribution - [Distributed Conversation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_conversation) - [Distributed Debate](https://github.com/modelscope/agentscope/blob/main/examples/distributed_debate) - [Distributed Parallel Optimization](https://github.com/modelscope/agentscope/blob/main/examples/distributed_parallel_optimization) - [Distributed Large Scale Simulation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_simulation) More models, services and examples are coming soon! ## Installation AgentScope requires **Python 3.9** or higher. ***Note: This project is currently in active development, it's recommended to install AgentScope from source.*** ### From source - Install AgentScope in editable mode: ```bash # Pull the source code from GitHub git clone https://github.com/modelscope/agentscope.git # Install the package in editable mode cd agentscope pip install -e . ``` ### Using pip - Install AgentScope from pip: ```bash pip install agentscope ``` ### Extra Dependencies To support different deployment scenarios, AgentScope provides several optional dependencies. Full list of optional dependencies refers to [tutorial](https://doc.agentscope.io/en/tutorial/102-installation.html) Taking distribution mode as an example, you can install its dependencies as follows: #### On Windows ```bash # From source pip install -e .[distribute] # From pypi pip install agentscope[distribute] ``` #### On Mac & Linux ```bash # From source pip install -e .\[distribute\] # From pypi pip install agentscope\[distribute\] ``` ## Quick Start ### Configuration In AgentScope, the model deployment and invocation are decoupled by `ModelWrapper`. To use these model wrappers, you need to prepare a model config file as follows. ```python model_config = { # The identifies of your config and used model wrapper "config_name": "{your_config_name}", # The name to identify the config "model_type": "{model_type}", # The type to identify the model wrapper # Detailed parameters into initialize the model wrapper # ... } ``` Taking OpenAI Chat API as an example, the model configuration is as follows: ```python openai_model_config = { "config_name": "my_openai_config", # The name to identify the config "model_type": "openai_chat", # The type to identify the model wrapper # Detailed parameters into initialize the model wrapper "model_name": "gpt-4", # The used model in openai API, e.g. gpt-4, gpt-3.5-turbo, etc. "api_key": "xxx", # The API key for OpenAI API. If not set, env # variable OPENAI_API_KEY will be used. "organization": "xxx", # The organization for OpenAI API. If not set, env # variable OPENAI_ORGANIZATION will be used. } ``` More details about how to set up local model services and prepare model configurations is in our [tutorial](https://modelscope.github.io/agentscope/index.html#welcome-to-agentscope-tutorial-hub). ### Create Agents Create built-in user and assistant agents as follows. ```python from agentscope.agents import DialogAgent, UserAgent import agentscope # Load model configs agentscope.init(model_configs="./model_configs.json") # Create a dialog agent and a user agent dialog_agent = DialogAgent(name="assistant", model_config_name="my_openai_config") user_agent = UserAgent() ``` ### Construct Conversation In AgentScope, **message** is the bridge among agents, which is a **dict** that contains two necessary fields `name` and `content` and an optional field `url` to local files (image, video or audio) or website. ```python from agentscope.message import Msg x = Msg(name="Alice", content="Hi!") x = Msg("Bob", "What about this picture I took?", url="/path/to/picture.jpg") ``` Start a conversation between two agents (e.g. dialog_agent and user_agent) with the following code: ```python x = None while True: x = dialog_agent(x) x = user_agent(x) if x.content == "exit": # user input "exit" to exit the conversation_basic break ``` ### AgentScope Studio AgentScope provides an easy-to-use runtime user interface capable of displaying multimodal output on the front end, including text, images, audio and video. Refer to our [tutorial](https://modelscope.github.io/agentscope/en/tutorial/209-gui.html) for more details. <h5 align="center"> <img src="https://img.alicdn.com/imgextra/i4/O1CN015kjnkd1xdwJoNxqLZ_!!6000000006467-0-tps-3452-1984.jpg" width="600" alt="agentscope-logo"> </h5> ## Tutorial - [About AgentScope](https://modelscope.github.io/agentscope/zh_CN/tutorial/101-agentscope.html) - [Installation](https://modelscope.github.io/agentscope/zh_CN/tutorial/102-installation.html) - [Quick Start](https://modelscope.github.io/agentscope/zh_CN/tutorial/103-example.html) - [Model](https://modelscope.github.io/agentscope/zh_CN/tutorial/203-model.html) - [Prompt Engineering](https://modelscope.github.io/agentscope/zh_CN/tutorial/206-prompt.html) - [Agent](https://modelscope.github.io/agentscope/zh_CN/tutorial/201-agent.html) - [Memory](https://modelscope.github.io/agentscope/zh_CN/tutorial/205-memory.html) - [Response Parser](https://modelscope.github.io/agentscope/zh_CN/tutorial/203-parser.html) - [Tool](https://modelscope.github.io/agentscope/zh_CN/tutorial/204-service.html) - [Pipeline and MsgHub](https://modelscope.github.io/agentscope/zh_CN/tutorial/202-pipeline.html) - [Distribution](https://modelscope.github.io/agentscope/zh_CN/tutorial/208-distribute.html) - [AgentScope Studio](https://modelscope.github.io/agentscope/zh_CN/tutorial/209-gui.html) - [Logging](https://modelscope.github.io/agentscope/zh_CN/tutorial/105-logging.html) - [Monitor](https://modelscope.github.io/agentscope/zh_CN/tutorial/207-monitor.html) - [Example: Werewolf Game](https://modelscope.github.io/agentscope/zh_CN/tutorial/104-usecase.html) ## License AgentScope is released under Apache License 2.0. ## Contributing Contributions are always welcomed! We provide a developer version with additional pre-commit hooks to perform checks compared to the official version: ```bash # For windows pip install -e .[dev] # For mac pip install -e .\[dev\] # Install pre-commit hooks pre-commit install ``` Please refer to our [Contribution Guide](https://modelscope.github.io/agentscope/en/tutorial/302-contribute.html) for more details. ## Publications If you find our work helpful for your research or application, please cite our papers. 1. [AgentScope: A Flexible yet Robust Multi-Agent Platform](https://arxiv.org/abs/2402.14034) ``` @article{agentscope, author = {Dawei Gao and Zitao Li and Xuchen Pan and Weirui Kuang and Zhijian Ma and Bingchen Qian and Fei Wei and Wenhao Zhang and Yuexiang Xie and Daoyuan Chen and Liuyi Yao and Hongyi Peng and Ze Yu Zhang and Lin Zhu and Chen Cheng and Hongzhu Shi and Yaliang Li and Bolin Ding and Jingren Zhou} title = {AgentScope: A Flexible yet Robust Multi-Agent Platform}, journal = {CoRR}, volume = {abs/2402.14034}, year = {2024}, } ``` ## Contributors ✨ All thanks to our contributors: <a href="https://github.com/modelscope/agentscope/graphs/contributors"> <img src="https://contrib.rocks/image?repo=modelscope/agentscope&max=999&columns=12&anon=1" /> </a>", Assign "at most 3 tags" to the expected json: {"id":"10079","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"