diff --git a/README-CN.md b/README-CN.md index be6b17772..4980c0797 100644 --- a/README-CN.md +++ b/README-CN.md @@ -28,14 +28,12 @@ --- > [!注意] -> 👨‍💻 来参加 devfest.ai 活动了吗？加入我们的 [Discord](https://discord.com/invite/JTSBGRZrzj) 并查看以下详细信息。 -> > 从[此处](https://dashboard-dev.julep.ai)获取您的 API 密钥。
-🌟 贡献者和 DevFest.AI 参与者（点击展开） +贡献🌟（点击展开） -## 🌟 招募贡献者！ +## 征集贡献者🌟 我们很高兴欢迎新贡献者加入 Julep 项目！我们创建了几个“好的第一个问题”来帮助您入门。以下是您可以做出贡献的方式： @@ -45,41 +43,34 @@ 您的贡献，无论大小，对我们来说都是宝贵的。让我们一起创造一些了不起的东西！🚀 -### 🎉 DevFest.AI 2024 年 10 月 - -令人兴奋的消息！我们将参加 2024 年 10 月的 DevFest.AI！🗓️ - -- 在本次活动期间为 Julep 做出贡献，就有机会赢得超棒的 Julep 商品和赃物！🎁 -- 与来自世界各地的开发人员一起为 AI 资源库做出贡献并参与精彩的活动。 -- 非常感谢 DevFest.AI 组织这次精彩的活动！ - -> [!提示] -> 准备好加入这场有趣的活动了吗？**[发推文表示你正在参与](https://twitter.com/intent/tweet?text=Pumped%20to%20be%20participating%20in%20%40devfestai%20with%20%40julep_ai%20building%20%23ai%20%23agents%20%23workflows%20Let's%20gooo!%20https%3A%2F%2Fgit.new%2Fjulep)** 让我们开始编码吧！🖥️ - -![Julep DevFest.AI](https://media.giphy.com/media/YjyUeyotft6epaMHtU/giphy.gif) -

📖 目录

+- [呼吁贡献者🌟]（#call-for-contributors-） - [简介](#introduction) - [主要特点](#key-features) - [快速示例](#quick-example) - [安装](#安装) - [Python 快速入门 🐍](#python-quick-start-) - [Node.js 快速入门🟩](#nodejs-quick-start-) -- [步骤 1：创建代理](#step-1-create-an-agent) - [组件](#components) - [心智模型](#mental-model) - [概念](#concepts) - [理解任务](#understanding-tasks) - [任务的生命周期](#lifecycle-of-a-task) - [工作流步骤的类型](#types-of-workflow-steps) +- [常见步骤](#common-steps) +- [键值步骤](#key-value-steps) +- [迭代步骤](#iteration-steps) +- [条件步骤](#conditional-steps) +- [其他控制流](#other-control-flow) - [工具类型](#tool-types) - [用户定义的`函数`](#user-defined-functions) - [`系统` 工具](#system-tools) +- [可用的系统资源和操作](#available-system-resources-and-operations) - [内置 `integrations`](#built-in-integrations) -[直接`api_calls`]（#direct-api_calls） - [集成](#integrations) @@ -135,7 +126,7 @@ Julep 支持创建多步骤任务，包括决策、循环、并行处理以及 想象一下一个可以执行以下操作的研究 AI 代理： 1. **选择一个主题**， -2. 针对该主题提出 100 个搜索查询， +2. 针对该主题提出 30 个搜索查询， 3. 同时进行网页搜索， 4. **总结**结果， 5. 将**摘要发送至 Discord**。 @@ -155,6 +146,9 @@ input_schema: topic: type: string description: The main topic to research + num_questions: + type: integer + description: The number of search queries to generate # Define the tools that the agent can use tools: @@ -163,12 +157,12 @@ tools: integration: provider: brave setup: - api_key: BSAqES7dj9d... # dummy key + api_key: - name: discord_webhook type: api_call api_call: - url: https://eobuxj02se0n.m.pipedream.net # dummy requestbin + url: https://discord.com/api/webhooks// method: POST headers: Content-Type: application/json @@ -180,52 +174,57 @@ tools: # Define the main workflow main: - - prompt: - - role: system - content: >- - You are a research assistant. - Generate 100 diverse search queries related to the topic: - {{inputs[0].topic}} - - Write one query per line. - unwrap: true - - # Evaluate the search queries using a simple python expression - - evaluate: - search_queries: "_.split('\n')" - - # Run the web search in parallel for each query - - over: "_.search_queries" - map: - tool: web_search - arguments: - query: "_" - parallelism: 10 - - # Collect the results from the web search - - evaluate: - results: "'\n'.join([item.result for item in _])" - - # Summarize the results - - prompt: - - role: system - content: > - You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. - The summary should be well-structured, informative, and highlight key findings and insights: - {{_.results}} - unwrap: true - settings: - model: gpt-4o-mini - - # Send the summary to Discord - - tool: discord_webhook +- prompt: + - role: system + content: >- + You are a research assistant. + Generate {{inputs[0].num_questions|default(30, true)}} diverse search queries related to the topic: + {{inputs[0].topic}} + + Write one query per line. + unwrap: true + +# Evaluate the search queries using a simple python expression +- evaluate: + search_queries: "_.split(NEWLINE)" + +# Run the web search in parallel for each query +- over: "_.search_queries" + map: + tool: web_search arguments: - content: |- - f''' - **Research Summary for {inputs[0].topic}** + query: "_" + parallelism: 5 + +# Collect the results from the web search +- evaluate: + search_results: _ + +# Summarize the results +- prompt: + - role: system + content: > + You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. + The summary should be well-structured, informative, and highlight key findings and insights. Keep the summary concise and to the point. + The length of the summary should be less than 150 words. + Here are the search results: + {{_.search_results}} + unwrap: true + settings: + model: gpt-4o-mini + +- evaluate: + discord_message: |- + f''' + **Research Summary for {inputs[0].topic}** + {_} + ''' - {_} - ''' + # Send the summary to Discord +- tool: discord_webhook + arguments: + json_: + content: _.discord_message[:2000] # Discord has a 2000 character limit ``` 在这个例子中，Julep 将自动管理并行执行，重试失败的步骤，重新发送 API 请求，并保持任务可靠运行直到完成。 @@ -331,6 +330,7 @@ description: Create a story based on an idea. tools: - name: research_wikipedia + type: integration integration: provider: wikipedia method: search @@ -434,7 +434,7 @@ agent_id=代理.id， ) # 🎉 观看故事和漫画面板的生成 -while (result := client.executions.get(execution.id)).status 不在 ['成功', '失败'] 中： +当（result：= client.executions.get（execution.id））.status 不在['succeeded'，'failed']中时： 打印（结果.状态，结果.输出） 时间.睡眠(1) @@ -496,7 +496,7 @@ const taskYaml = ` 方法：搜索 主要的： -# 步骤 1：产生情节想法 +# 步骤 1：生成情节想法 - 迅速的： - 角色：系统 内容：您是 {{agent.name}}。{{agent.about}} @@ -1001,7 +1001,7 @@ Execute steps based on multiple conditions - 日志：“A 类处理” - 案例：_.category =='B' 然后： -- 日志：“B类处理” +- 日志：“B 类处理” - case: _ # 默认情况 然后： - 错误：未知类别 @@ -1143,8 +1143,6 @@ These are function signatures that you can give the model to choose from, simila Whenever julep encounters a _user-defined function_, it pauses, giving control back to the client and waits for the client to run the function call and give the results back to julep. -> [!TIP] > **Example cookbook**: [cookbooks/13-Error_Handling_and_Recovery.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/13-Error_Handling_and_Recovery.py) - ### `system` tools Built-in tools that can be used to call the julep APIs themselves, like triggering a task execution, appending to a metadata field, etc. @@ -1224,7 +1222,7 @@ Additional operations available for some resources: Note: The availability of these operations may vary depending on the specific resource and implementation details. -> [!TIP] > **Example cookbook**: [cookbooks/10-Document_Management_and_Search.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/10-Document_Management_and_Search.py) +> [!TIP] > **Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) ### Built-in `integrations` @@ -1232,7 +1230,7 @@ Julep comes with a number of built-in integrations (as described in the section See [Integrations](#integrations) for details on the available integrations. -> [!TIP] > **Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +> [!TIP] > **Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) ### Direct `api_calls` @@ -1290,7 +1288,7 @@ result: string # Brave Search 的结果 -**Example cookbook**: [cookbooks/03-SmartResearcher_With_WebSearch.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-SmartResearcher_With_WebSearch.ipynb) +**Example cookbook**: [cookbooks/02-sarcastic-news-headline-generator.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/02-sarcastic-news-headline-generator.ipynb) @@ -1302,7 +1300,7 @@ result: string # Brave Search 的结果 设置： api_key: string # BrowserBase 的 API 密钥 project_id: string # BrowserBase 的项目 ID -session_id: string #（可选）BrowserBase 的会话 ID +session_id: string # （可选）BrowserBase 的会话 ID 参数： urls: list[string] # 使用 BrowserBase 加载的 URL @@ -1313,6 +1311,11 @@ documents: list # 从 URL 加载的文档 + + +**Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) + + Email @@ -1357,14 +1360,14 @@ mode: string # 爬虫的类型（默认值：“scrape”） params: dict # （可选）Spider API 的参数 输出： -documents: list # 蜘蛛返回的文档 +documents: list # 从蜘蛛返回的文档 ``` -**Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +**Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) @@ -1387,7 +1390,7 @@ result: string # 指定位置的天气数据 -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) @@ -1399,7 +1402,7 @@ result: string # 指定位置的天气数据 ```yaml 参数： query: string # 搜索查询字符串 -load_max_docs：整数#要加载的最大文档数（默认值：2） +load_max_docs：整数 #（可选）要加载的最大文档数。默认值为 2。 输出： documents: list # 从 Wikipedia 搜索返回的文档 @@ -1409,10 +1412,91 @@ documents: list # 从 Wikipedia 搜索返回的文档 -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) + + + + + + FFmpeg + + +```yaml +参数： +cmd: string # 要执行的 FFmpeg 命令 +file: string # 要处理的 base64 编码文件 + +输出： +fileoutput: string # FFmpeg 命令以 base64 编码输出的文件 +result: boolean # FFmpeg命令是否执行成功 +mime_type: string # 输出文件的 MIME 类型 +``` + + + + + + + Llama Parse + + +```yaml +设置： +llamaparse_api_key: string # Llama Parse 的 API 密钥 +params: dict #（可选）Llama Parse 集成的附加参数 + +参数： +文件：字符串 | 数组# 要解析的 base64 编码文件或要加载的 http/https URL 数组。 +filename：string #（可选）。文件的文件名。默认为随机 UUID。仅当文件是 base64 编码字符串时才使用。 +params: dict #（可选）Llama Parse 集成的附加参数。覆盖设置参数。 +base64：boolean # 输入文件是否为 base64 编码。默认为 false。 + +输出： +documents: list # 从文档中解析的数据 +``` + + + + Cloudinary + + +```yaml + +方法：media_upload | media_edit # 用于 Cloudinary 集成的方法 + +设置： +cloudinary_cloud_name: string # 您的 Cloudinary 云名称 +cloudinary_api_key: string # 您的 Cloudinary API 密钥 +cloudinary_api_secret: string # 您的 Cloudinary API 密钥 +params: dict # （可选）Cloudinary 集成的附加参数 + +参数： +file: string # 文件上传的 URL。仅适用于 media_upload 方法。 +upload_params：dict #（可选）上传的附加参数。仅适用于 media_upload 方法。 +public_id：字符串 #（可选）文件的公共 ID。对于 media_edit 方法，它是必需的。对于 media_upload 方法，它是可选的。默认为随机 UUID。 +transformation：list[dict] # 应用于文件的转换。仅适用于 media_edit 方法。 +return_base64: boolean # 是否以 base64 编码返回文件。默认为 false。 + +输出： +url：string # 上传文件的 URL。仅适用于 media_upload 方法。 +meta_data: dict # 来自上传响应的附加元数据。仅适用于 media_upload 方法。 +public_id: string # 上传文件的公共 ID。仅适用于 media_upload 方法。 +经过转换的 URL：字符串 #（可选）转换后的 URL。仅适用于 media_edit 方法。 +base64：字符串#（可选）如果 return_base64 为真，则为 base64 编码的文件。 +``` + + + + + +**Example cookbook**: [cookbooks/05-video-processing-with-natural-language.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/05-video-processing-with-natural-language.ipynb) + + + + For more details, refer to our [Integrations Documentation](#integrations). diff --git a/README-FR.md b/README-FR.md index 1a5f5b1be..c4e1ebf51 100644 --- a/README-FR.md +++ b/README-FR.md @@ -28,14 +28,12 @@ --- > [!REMARQUE] -> 👨‍💻 Vous êtes ici pour l'événement devfest.ai ? Rejoignez notre [Discord](https://discord.com/invite/JTSBGRZrzj) et consultez les détails ci-dessous. -> > Obtenez votre clé API [ici](https://dashboard-dev.julep.ai).
-🌟 Contributeurs et participants au DevFest.AI(Cliquez pour agrandir) +Contributions 🌟(Cliquez pour agrandir) -## 🌟 Appel aux contributeurs ! +## Appel aux contributeurs 🌟 Nous sommes ravis d'accueillir de nouveaux contributeurs au projet Julep ! Nous avons créé plusieurs « bons premiers numéros » pour vous aider à démarrer. Voici comment vous pouvez contribuer : @@ -45,41 +43,34 @@ Nous sommes ravis d'accueillir de nouveaux contributeurs au projet Julep ! Nous Vos contributions, grandes ou petites, sont précieuses pour nous. Construisons ensemble quelque chose d'extraordinaire ! 🚀 -### 🎉 DevFest.AI octobre 2024 - -Des nouvelles passionnantes ! Nous participons au DevFest.AI tout au long du mois d'octobre 2024 ! 🗓️ - -- Contribuez à Julep pendant cet événement et obtenez une chance de gagner de superbes produits et cadeaux Julep ! 🎁 -- Rejoignez des développeurs du monde entier pour contribuer aux référentiels d'IA et participer à des événements incroyables. -- Un grand merci à DevFest.AI pour l'organisation de cette fantastique initiative ! - -> [!TIP] -> Prêt à vous joindre à la fête ? **[Tweetez que vous participez](https://twitter.com/intent/tweet?text=Pumped%20to%20be%20participating%20in%20%40devfestai%20with%20%40julep_ai%20building%20%23ai%20%20%23agents%20%23workflows%20Let's%20gooo!%20https%3A%2F%2Fgit.new%2Fjulep)** et commençons à coder ! 🖥️ - -![Julep DevFest.AI](https://media.giphy.com/media/YjyUeyotft6epaMHtU/giphy.gif) -

📖 Table des matières

+- [Appel à contributeurs 🌟](#call-for-contributors-) - [Présentation](#introduction) - [Caractéristiques principales](#key-features) - [Exemple rapide](#quick-example) - [Installation](#installation) - [Démarrage rapide de Python 🐍](#python-quick-start-) - [Démarrage rapide de Node.js 🟩](#nodejs-quick-start-) -- [Étape 1 : Créer un agent](#step-1-create-an-agent) - [Composants](#composants) - [Modèle mental](#mental-model) - [Concepts](#concepts) - [Comprendre les tâches](#understanding-tasks) - [Cycle de vie d'une tâche](#cycle-de-vie-d-une-tâche) - [Types d'étapes de flux de travail](#types-of-workflow-steps) +- [Étapes courantes](#étapes-communes) +- [Étapes clé-valeur](#étapes-clé-valeur) +- [Étapes d'itération](#iteration-steps) +- [Étapes conditionnelles](#étapes-conditionnelles) +- [Autre flux de contrôle](#other-control-flow) - [Types d'outils](#types-d'outils) - [`Fonctions` définies par l'utilisateur](#user-defined-functions) - [outils système](#outils-système) +- [Ressources et opérations « système » disponibles](#available-system-resources-and-operations) - [`Intégrations` intégrées](#integrations-integrées) - [Appels directs `api_calls`](#appels directs-api_calls) - [Intégrations](#intégrations) @@ -135,7 +126,7 @@ Alors que de nombreuses applications d'IA se limitent à des chaînes simples et Imaginez un agent d’IA de recherche capable d’effectuer les opérations suivantes : 1. **Prenez un sujet**, -2. **Proposez 100 requêtes de recherche** pour ce sujet, +2. **Proposez 30 requêtes de recherche** pour ce sujet, 3. Effectuez ces **recherches Web en parallèle**, 4. **Résumez** les résultats, 5. Envoyez le **résumé à Discord**. @@ -155,6 +146,9 @@ input_schema: topic: type: string description: The main topic to research + num_questions: + type: integer + description: The number of search queries to generate # Define the tools that the agent can use tools: @@ -163,12 +157,12 @@ tools: integration: provider: brave setup: - api_key: BSAqES7dj9d... # dummy key + api_key: - name: discord_webhook type: api_call api_call: - url: https://eobuxj02se0n.m.pipedream.net # dummy requestbin + url: https://discord.com/api/webhooks// method: POST headers: Content-Type: application/json @@ -180,52 +174,57 @@ tools: # Define the main workflow main: - - prompt: - - role: system - content: >- - You are a research assistant. - Generate 100 diverse search queries related to the topic: - {{inputs[0].topic}} - - Write one query per line. - unwrap: true - - # Evaluate the search queries using a simple python expression - - evaluate: - search_queries: "_.split('\n')" - - # Run the web search in parallel for each query - - over: "_.search_queries" - map: - tool: web_search - arguments: - query: "_" - parallelism: 10 - - # Collect the results from the web search - - evaluate: - results: "'\n'.join([item.result for item in _])" - - # Summarize the results - - prompt: - - role: system - content: > - You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. - The summary should be well-structured, informative, and highlight key findings and insights: - {{_.results}} - unwrap: true - settings: - model: gpt-4o-mini - - # Send the summary to Discord - - tool: discord_webhook +- prompt: + - role: system + content: >- + You are a research assistant. + Generate {{inputs[0].num_questions|default(30, true)}} diverse search queries related to the topic: + {{inputs[0].topic}} + + Write one query per line. + unwrap: true + +# Evaluate the search queries using a simple python expression +- evaluate: + search_queries: "_.split(NEWLINE)" + +# Run the web search in parallel for each query +- over: "_.search_queries" + map: + tool: web_search arguments: - content: |- - f''' - **Research Summary for {inputs[0].topic}** + query: "_" + parallelism: 5 + +# Collect the results from the web search +- evaluate: + search_results: _ + +# Summarize the results +- prompt: + - role: system + content: > + You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. + The summary should be well-structured, informative, and highlight key findings and insights. Keep the summary concise and to the point. + The length of the summary should be less than 150 words. + Here are the search results: + {{_.search_results}} + unwrap: true + settings: + model: gpt-4o-mini + +- evaluate: + discord_message: |- + f''' + **Research Summary for {inputs[0].topic}** + {_} + ''' - {_} - ''' + # Send the summary to Discord +- tool: discord_webhook + arguments: + json_: + content: _.discord_message[:2000] # Discord has a 2000 character limit ``` Dans cet exemple, Julep gérera automatiquement les exécutions parallèles, réessayera les étapes ayant échoué, renverra les requêtes API et maintiendra les tâches en cours d'exécution de manière fiable jusqu'à leur achèvement. @@ -331,6 +330,7 @@ description: Create a story based on an idea. tools: - name: research_wikipedia + type: integration integration: provider: wikipedia method: search @@ -433,7 +433,7 @@ task_id=task.id, input={"idea": "Un chat qui apprend à voler"} ) -# 🎉 Regardez l'histoire et les panneaux de bande dessinée se générer +# 🎉 Regardez l'histoire et les panneaux de bandes dessinées se générer while (result := client.executions.get(execution.id)).status n'est pas dans ['réussi', 'échec'] : print(résultat.statut, résultat.sortie) heure.sommeil(1) @@ -684,7 +684,7 @@ Agent --> Documents[Documents] Documents --> VectorDB[Base de données vectorielles] Tâches --> Exécutions[Exécutions] -client classDef remplissage : #9ff, trait : #333, largeur du trait : 1 px ; +client classDef fill:#9ff,trait:#333,largeur-trait:1px; classe Utilisateur client ; classDef core fill:#f9f,trait:#333,largeur-trait:2px; @@ -1143,8 +1143,6 @@ contenu : '"salut"' # <-- expression python Whenever julep encounters a _user-defined function_, it pauses, giving control back to the client and waits for the client to run the function call and give the results back to julep. -> [!TIP] > **Example cookbook**: [cookbooks/13-Error_Handling_and_Recovery.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/13-Error_Handling_and_Recovery.py) - ### `system` tools Built-in tools that can be used to call the julep APIs themselves, like triggering a task execution, appending to a metadata field, etc. @@ -1159,7 +1157,7 @@ description : Lister les agents à l'aide d'un appel système outils: - nom : list_agent_docs -description : liste tous les documents pour l'agent donné +description : Liste tous les documents pour l'agent donné type : système système: ressource : agent @@ -1224,7 +1222,7 @@ Additional operations available for some resources: Note: The availability of these operations may vary depending on the specific resource and implementation details. -> [!TIP] > **Example cookbook**: [cookbooks/10-Document_Management_and_Search.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/10-Document_Management_and_Search.py) +> [!TIP] > **Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) ### Built-in `integrations` @@ -1232,7 +1230,7 @@ Julep comes with a number of built-in integrations (as described in the section See [Integrations](#integrations) for details on the available integrations. -> [!TIP] > **Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +> [!TIP] > **Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) ### Direct `api_calls` @@ -1290,7 +1288,7 @@ résultat : chaîne # Le résultat de la recherche Brave -**Example cookbook**: [cookbooks/03-SmartResearcher_With_WebSearch.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-SmartResearcher_With_WebSearch.ipynb) +**Example cookbook**: [cookbooks/02-sarcastic-news-headline-generator.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/02-sarcastic-news-headline-generator.ipynb) @@ -1313,6 +1311,11 @@ documents : liste # Les documents chargés à partir des URL + + +**Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) + + Email @@ -1364,7 +1367,7 @@ documents : liste # Les documents renvoyés par l'araignée -**Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +**Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) @@ -1387,7 +1390,7 @@ résultat : chaîne # Les données météorologiques pour l'emplacement spécif -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) @@ -1399,7 +1402,7 @@ résultat : chaîne # Les données météorologiques pour l'emplacement spécif ```YAML Arguments: requête : chaîne # La chaîne de requête de recherche -load_max_docs : entier # Nombre maximal de documents à charger (par défaut : 2) +load_max_docs : entier # (facultatif) Nombre maximal de documents à charger. La valeur par défaut est 2. sortir: documents : liste # Les documents renvoyés par la recherche sur Wikipédia @@ -1409,10 +1412,91 @@ documents : liste # Les documents renvoyés par la recherche sur Wikipédia -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) + + + + + + FFmpeg + + +```YAML +Arguments: +cmd : chaîne # La commande FFmpeg à exécuter +fichier : chaîne # Le fichier codé en base64 à traiter + +sortir: +fileoutput : chaîne # Le fichier de sortie de la commande FFmpeg en codage base64 +résultat : booléen # Si la commande FFmpeg a été exécutée avec succès +mime_type : chaîne # Le type MIME du fichier de sortie +``` + + + + + + + Llama Parse + + +```YAML +installation: +llamaparse_api_key: string # La clé API pour Llama Parse +paramètres : dict # (facultatif) Paramètres supplémentaires pour l'intégration de Llama Parse + +Arguments: +fichier : chaîne | tableau# Le fichier codé en base64 à analyser ou un tableau d'URL http/https à charger. +nom de fichier : chaîne # (facultatif). Le nom de fichier du fichier. La valeur par défaut est un UUID aléatoire. Utilisé uniquement si le fichier est une chaîne codée en base64. +params : dict # (facultatif) Paramètres supplémentaires pour l'intégration de Llama Parse. Remplace les paramètres de configuration. +base64 : booléen # Indique si le fichier d'entrée est encodé en base64. La valeur par défaut est false. + +sortir: +documents : liste # Les données analysées du document +``` + + + + Cloudinary + + +```YAML + +méthode : media_upload | media_edit # La méthode à utiliser pour l'intégration Cloudinary + +installation: +cloudinary_cloud_name : chaîne # Votre nom de cloud Cloudinary +cloudinary_api_key : chaîne # Votre clé API Cloudinary +cloudinary_api_secret : chaîne # Votre secret d'API Cloudinary +paramètres : dict # (facultatif) Paramètres supplémentaires pour l'intégration Cloudinary + +Arguments: +fichier : chaîne # L'URL du téléchargement du fichier. Disponible uniquement pour la méthode media_upload. +upload_params : dict # (facultatif) Paramètres supplémentaires pour le téléchargement. Disponible uniquement pour la méthode media_upload. +public_id : chaîne # (facultatif) L'ID public du fichier. Pour la méthode media_edit, il est OBLIGATOIRE. Pour la méthode media_upload, il est facultatif. La valeur par défaut est un UUID aléatoire. +transformation : list[dict] # Les transformations à appliquer au fichier. Disponible uniquement pour la méthode media_edit. +return_base64 : booléen # Indique si le fichier doit être renvoyé en codage base64. La valeur par défaut est false. + +sortir: +url : chaîne # L'URL du fichier téléchargé. Disponible uniquement pour la méthode media_upload. +meta_data : dict # Métadonnées supplémentaires provenant de la réponse de téléchargement. Disponible uniquement pour la méthode media_upload. +public_id : chaîne # L'ID public du fichier téléchargé. Disponible uniquement pour la méthode media_upload. +turned_url : chaîne # (facultatif) L'URL transformée. Disponible uniquement pour la méthode media_edit. +base64 : chaîne # (Facultatif) Le fichier codé en base64 si return_base64 est vrai. +``` + + + + + +**Example cookbook**: [cookbooks/05-video-processing-with-natural-language.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/05-video-processing-with-natural-language.ipynb) + + + + For more details, refer to our [Integrations Documentation](#integrations). @@ -1561,7 +1645,7 @@ Julep, en revanche, s'intéresse davantage à la création d'agents d'IA persist Utilisez Julep si vous imaginez créer un assistant IA complexe qui doit : - Suivez les interactions des utilisateurs sur plusieurs jours ou semaines. -- Exécutez des tâches planifiées, comme l'envoi de résumés quotidiens ou la surveillance des sources de données. +- Exécutez des tâches planifiées, comme l'envoi de résumés quotidiens ou la surveillance de sources de données. - Prendre des décisions basées sur des interactions antérieures ou des données stockées. - Interagir avec plusieurs services externes dans le cadre de son flux de travail. diff --git a/README-JA.md b/README-JA.md index 611629392..98aa3408a 100644 --- a/README-JA.md +++ b/README-JA.md @@ -28,14 +28,12 @@ --- > [!注意] -> 👨‍💻 devfest.ai イベントに参加しませんか? [Discord](https://discord.com/invite/JTSBGRZrzj) に参加して、以下の詳細を確認してください。 -> > API キーを [こちら](https://dashboard-dev.julep.ai) から取得します。
-🌟 貢献者とDevFest.AI参加者（クリックして拡大） +貢献🌟（クリックして拡大） -## 🌟 貢献者を募集します! +## 貢献者募集🌟 Julep プロジェクトに新しい貢献者を迎えられることを嬉しく思います。プロジェクトを始めるのに役立つ「最初の良い問題」をいくつか作成しました。貢献する方法は次のとおりです。 @@ -45,41 +43,34 @@ Julep プロジェクトに新しい貢献者を迎えられることを嬉し あなたの貢献は、大小を問わず私たちにとって貴重です。一緒に素晴らしいものを作りましょう！🚀 -### 🎉 DevFest.AI 2024年10月 - -嬉しいニュースです！2024 年 10 月を通して DevFest.AI に参加します！🗓️ - -- このイベント中に Julep に貢献すると、素晴らしい Julep のグッズや景品を獲得するチャンスが得られます! 🎁 -- 世界中の開発者とともに AI リポジトリに貢献し、素晴らしいイベントに参加しましょう。 -- この素晴らしい取り組みを企画してくださった DevFest.AI に心から感謝します。 - -> [!ヒント] -> 楽しみに参加する準備はできましたか? **[参加することをツイート](https://twitter.com/intent/tweet?text=Pumped%20to%20be%20participating%20in%20%40devfestai%20with%20%40julep_ai%20building%20%23ai%20%23agents%20%23workflows%20Let's%20gooo!%20https%3A%2F%2Fgit.new%2Fjulep)**して、コーディングを始めましょう! 🖥️ - -![Julep DevFest.AI](https://media.giphy.com/media/YjyUeyotft6epaMHtU/giphy.gif) -

📖 目次

+- [貢献者募集🌟](#call-for-contributors-) - [はじめに](#introduction) - [主な特徴](#key-features) - [簡単な例](#quick-example) - [インストール](#installation) - [Python クイックスタート 🐍](#python-quick-start-) - [Node.js クイック スタート 🟩](#nodejs-quick-start-) -- [ステップ 1: エージェントを作成する](#step-1-create-an-agent) - [コンポーネント](#components) - [メンタルモデル](#mental-model) - [コンセプト](#concepts) - [タスクの理解](#understanding-tasks) - [タスクのライフサイクル](#lifecycle-of-a-task) - [ワークフロー ステップの種類](#types-of-workflow-steps) +- [共通手順](#common-steps) +- [キーと値のステップ](#key-value-steps) +- [反復ステップ](#iteration-steps) +- [条件付きステップ](#conditional-steps) +- [その他の制御フロー](#other-control-flow) - [ツールの種類](#tool-types) - [ユーザー定義の `functions`](#user-defined-functions) - [`システム` ツール](#system-tools) +- [利用可能な `system` リソースと操作](#available-system-resources-and-operations) - [組み込みの `integrations`](#built-in-integrations) - [直接の `api_calls`](#direct-api_calls) - [統合](#integrations) @@ -135,7 +126,7 @@ Julep を使用すると、意思決定、ループ、並列処理、多数の 次のことができる研究 AI エージェントを想像してください。 1. **トピックを選ぶ**、 -2. そのトピックについて**100個の検索クエリを考え出す** +2. そのトピックについて**30個の検索クエリを考え出す** 3. ウェブ検索を並行して実行する 4. 結果を**要約**します。 5. **要約を Discord に送信**します。 @@ -155,6 +146,9 @@ input_schema: topic: type: string description: The main topic to research + num_questions: + type: integer + description: The number of search queries to generate # Define the tools that the agent can use tools: @@ -163,12 +157,12 @@ tools: integration: provider: brave setup: - api_key: BSAqES7dj9d... # dummy key + api_key: - name: discord_webhook type: api_call api_call: - url: https://eobuxj02se0n.m.pipedream.net # dummy requestbin + url: https://discord.com/api/webhooks// method: POST headers: Content-Type: application/json @@ -180,52 +174,57 @@ tools: # Define the main workflow main: - - prompt: - - role: system - content: >- - You are a research assistant. - Generate 100 diverse search queries related to the topic: - {{inputs[0].topic}} - - Write one query per line. - unwrap: true - - # Evaluate the search queries using a simple python expression - - evaluate: - search_queries: "_.split('\n')" - - # Run the web search in parallel for each query - - over: "_.search_queries" - map: - tool: web_search - arguments: - query: "_" - parallelism: 10 - - # Collect the results from the web search - - evaluate: - results: "'\n'.join([item.result for item in _])" - - # Summarize the results - - prompt: - - role: system - content: > - You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. - The summary should be well-structured, informative, and highlight key findings and insights: - {{_.results}} - unwrap: true - settings: - model: gpt-4o-mini - - # Send the summary to Discord - - tool: discord_webhook +- prompt: + - role: system + content: >- + You are a research assistant. + Generate {{inputs[0].num_questions|default(30, true)}} diverse search queries related to the topic: + {{inputs[0].topic}} + + Write one query per line. + unwrap: true + +# Evaluate the search queries using a simple python expression +- evaluate: + search_queries: "_.split(NEWLINE)" + +# Run the web search in parallel for each query +- over: "_.search_queries" + map: + tool: web_search arguments: - content: |- - f''' - **Research Summary for {inputs[0].topic}** + query: "_" + parallelism: 5 + +# Collect the results from the web search +- evaluate: + search_results: _ + +# Summarize the results +- prompt: + - role: system + content: > + You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}. + The summary should be well-structured, informative, and highlight key findings and insights. Keep the summary concise and to the point. + The length of the summary should be less than 150 words. + Here are the search results: + {{_.search_results}} + unwrap: true + settings: + model: gpt-4o-mini + +- evaluate: + discord_message: |- + f''' + **Research Summary for {inputs[0].topic}** + {_} + ''' - {_} - ''' + # Send the summary to Discord +- tool: discord_webhook + arguments: + json_: + content: _.discord_message[:2000] # Discord has a 2000 character limit ``` この例では、Julep は並列実行を自動的に管理し、失敗したステップを再試行し、API リクエストを再送信し、タスクが完了するまで確実に実行し続けます。 @@ -331,6 +330,7 @@ description: Create a story based on an idea. tools: - name: research_wikipedia + type: integration integration: provider: wikipedia method: search @@ -397,7 +397,7 @@ plot_ideas: load_yaml(_.split('```yaml')[1].split('```')[0].ストリップ()) Think about the plot ideas critically. Combine the plot ideas with the results from Wikipedia to create a detailed plot for a story. Write down all your notes and thoughts. - Then finally write the plot as a yaml object inside ```レスポンスの最後に yaml タグを追加します。yaml オブジェクトの構造は次のようになります。 + Then finally write the plot as a yaml object inside ```応答の最後に yaml タグを追加します。yaml オブジェクトの構造は次のようになります。 ```yaml title: "" @@ -924,7 +924,7 @@ over: _.numbers # <-- コンテキスト変数にアクセスするための Pyt 地図： - 評価する： 二乗: "_ ** 2" -Reduce: 結果 + [_] # <-- (オプション) 結果を削減する Python 式。省略した場合、これがデフォルトになります。 +Reduce: results + [_] # <-- (オプション) 結果を削減する Python 式。省略した場合、これがデフォルトになります。 ``` ```ヤム @@ -1143,8 +1143,6 @@ These are function signatures that you can give the model to choose from, simila Whenever julep encounters a _user-defined function_, it pauses, giving control back to the client and waits for the client to run the function call and give the results back to julep. -> [!TIP] > **Example cookbook**: [cookbooks/13-Error_Handling_and_Recovery.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/13-Error_Handling_and_Recovery.py) - ### `system` tools Built-in tools that can be used to call the julep APIs themselves, like triggering a task execution, appending to a metadata field, etc. @@ -1224,7 +1222,7 @@ Additional operations available for some resources: Note: The availability of these operations may vary depending on the specific resource and implementation details. -> [!TIP] > **Example cookbook**: [cookbooks/10-Document_Management_and_Search.py](https://github.com/julep-ai/julep/blob/dev/cookbooks/10-Document_Management_and_Search.py) +> [!TIP] > **Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) ### Built-in `integrations` @@ -1232,7 +1230,7 @@ Julep comes with a number of built-in integrations (as described in the section See [Integrations](#integrations) for details on the available integrations. -> [!TIP] > **Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +> [!TIP] > **Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) ### Direct `api_calls` @@ -1290,7 +1288,7 @@ result: 文字列 # Brave Searchの結果 -**Example cookbook**: [cookbooks/03-SmartResearcher_With_WebSearch.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-SmartResearcher_With_WebSearch.ipynb) +**Example cookbook**: [cookbooks/02-sarcastic-news-headline-generator.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/02-sarcastic-news-headline-generator.ipynb) @@ -1308,11 +1306,16 @@ session_id: 文字列 # (オプション) BrowserBaseのセッションID urls: list[string] # BrowserBaseで読み込むURL 出力： -documents: list # URLから読み込まれたドキュメント +ドキュメント: リスト # URLから読み込まれたドキュメント ``` + + +**Example cookbook**: [cookbooks/06-browser-use.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/06-browser-use.ipynb) + + Email @@ -1364,7 +1367,7 @@ params: dict # (オプション) Spider APIのパラメータ -**Example cookbook**: [cookbooks/01-Website_Crawler_using_Spider.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-Website_Crawler_using_Spider.ipynb) +**Example cookbook**: [cookbooks/01-website-crawler.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/01-website-crawler.ipynb) @@ -1387,7 +1390,7 @@ location: 文字列 # 気象データを取得する場所 -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) @@ -1399,7 +1402,7 @@ location: 文字列 # 気象データを取得する場所 ```ヤム 引数: query: 文字列 # 検索クエリ文字列 -load_max_docs: 整数 # 読み込むドキュメントの最大数 (デフォルト: 2) +load_max_docs: 整数 # (オプション) ロードするドキュメントの最大数。デフォルトは 2 です。 出力： ドキュメント: リスト # Wikipedia 検索から返されたドキュメント @@ -1409,10 +1412,91 @@ load_max_docs: 整数 # 読み込むドキュメントの最大数 (デフォル -**Example cookbook**: [cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/04-TripPlanner_With_Weather_And_WikiInfo.ipynb) +**Example cookbook**: [cookbooks/03-trip-planning-assistant.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/03-trip-planning-assistant.ipynb) + + + + + + FFmpeg + + +```ヤム +引数: +cmd: 文字列 # 実行するFFmpegコマンド +file: 文字列 # 処理するbase64エンコードされたファイル + +出力： +fileoutput: 文字列 # FFmpeg コマンドからの出力ファイル（base64 エンコード） +結果: ブール値 # FFmpeg コマンドが正常に実行されたかどうか +mime_type: 文字列 # 出力ファイルのMIMEタイプ +``` + + + + + + + Llama Parse + + +```ヤム +設定： +llamaparse_api_key: string # Llama Parse の API キー +params: dict # (オプション) Llama Parse 統合の追加パラメータ + +引数: +ファイル: 文字列 | 配列# 解析する base64 でエンコードされたファイル、または読み込む http/https URL の配列。 +filename: 文字列 # (オプション)。ファイルのファイル名。デフォルトはランダムな UUID です。ファイルが base64 でエンコードされた文字列の場合にのみ使用されます。 +params: dict # (オプション) Llama Parse 統合の追加パラメータ。セットアップパラメータを上書きします。 +base64: boolean # 入力ファイルが base64 でエンコードされているかどうか。デフォルトは false です。 + +出力： +ドキュメント: リスト # ドキュメントから解析されたデータ +``` + + + + Cloudinary + + +```ヤム + +method: media_upload | media_edit # Cloudinary統合に使用するメソッド + +設定： +cloudinary_cloud_name: 文字列 # Cloudinary クラウド名 +cloudinary_api_key: 文字列 # Cloudinary API キー +cloudinary_api_secret: 文字列 # Cloudinary API シークレット +params: dict # (オプション) Cloudinary統合の追加パラメータ + +引数: +file: 文字列 # ファイルのアップロード先の URL。media_upload メソッドでのみ使用できます。 +upload_params: dict # (オプション) アップロード用の追加パラメータ。media_upload メソッドでのみ使用できます。 +public_id: 文字列 # (オプション) ファイルのパブリック ID。media_edit メソッドの場合は必須です。media_upload メソッドの場合はオプションです。デフォルトはランダムな UUID です。 +transformation: list[dict] # ファイルに適用する変換。media_edit メソッドでのみ使用できます。 +return_base64: boolean # ファイルを base64 エンコードで返すかどうか。デフォルトは false です。 + +出力： +url: 文字列 # アップロードされたファイルの URL。media_upload メソッドでのみ使用できます。 +meta_data: dict # アップロード応答からの追加メタデータ。media_upload メソッドでのみ使用できます。 +public_id: 文字列 # アップロードされたファイルのパブリック ID。media_upload メソッドでのみ使用できます。 +transformed_url: 文字列 # (オプション) 変換された URL。media_edit メソッドでのみ使用できます。 +base64: 文字列 # (オプション) return_base64 が true の場合、base64 でエンコードされたファイル。 +``` + + + + + +**Example cookbook**: [cookbooks/05-video-processing-with-natural-language.ipynb](https://github.com/julep-ai/julep/blob/dev/cookbooks/05-video-processing-with-natural-language.ipynb) + + + + For more details, refer to our [Integrations Documentation](#integrations). diff --git a/README.md b/README.md index dad5ebd68..df3f1b56a 100644 --- a/README.md +++ b/README.md @@ -1402,7 +1402,7 @@ output: ```yaml arguments: query: string # The search query string - load_max_docs: integer # Maximum number of documents to load (default: 2) + load_max_docs: integer # (Optional) Maximum number of documents to load. Default is 2. output: documents: list # The documents returned from the Wikipedia search @@ -1443,10 +1443,13 @@ output: ```yaml setup: llamaparse_api_key: string # The API key for Llama Parse + params: dict # (Optional) Additional parameters for the Llama Parse integration arguments: - file: string # The base64 encoded file to parse - filename: string # The filename of the file + file: string | Array # The base64 encoded file to parse or an array of http/https URLs to load. + filename: string # (Optional). The filename of the file. Default is a random UUID. Only used if file is a base64 encoded string. + params: dict # (Optional) Additional parameters for the Llama Parse integration. Overrides the setup parameters. + base64: boolean # Whether the input file is base64 encoded. Default is false. output: documents: list # The parsed data from the document @@ -1468,20 +1471,21 @@ setup: cloudinary_cloud_name: string # Your Cloudinary cloud name cloudinary_api_key: string # Your Cloudinary API key cloudinary_api_secret: string # Your Cloudinary API secret + params: dict # (Optional) Additional parameters for the Cloudinary integration arguments: file: string # The URL of the file upload. Only available for media_upload method. - upload_params: dict # Additional parameters for the upload. Only available for media_upload method. - public_id: string # The public ID for the file. For media_edit method it is MANDATORY. For media_upload method it is optional. - transformation: list[dict] # The transformations to apply to the file - return_base64: boolean # Whether to return the file in base64 encoding + upload_params: dict # (Optional) Additional parameters for the upload. Only available for media_upload method. + public_id: string # (Optional) The public ID for the file. For media_edit method it is MANDATORY. For media_upload method it is optional. Default is a random UUID. + transformation: list[dict] # The transformations to apply to the file. Only available for media_edit method. + return_base64: boolean # Whether to return the file in base64 encoding. Default is false. output: url: string # The URL of the uploaded file. Only available for media_upload method. meta_data: dict # Additional metadata from the upload response. Only available for media_upload method. public_id: string # The public ID of the uploaded file. Only available for media_upload method. - transformed_url: string # The transformed URL. Only available for media_edit method. - base64: string # The base64 encoded file. Only available for media_edit method. + transformed_url: string # (Optional) The transformed URL. Only available for media_edit method. + base64: string # (Optional) The base64 encoded file if return_base64 is true. ``` diff --git a/agents-api/agents_api/autogen/Tasks.py b/agents-api/agents_api/autogen/Tasks.py index b9212d8cb..8e98caaab 100644 --- a/agents-api/agents_api/autogen/Tasks.py +++ b/agents-api/agents_api/autogen/Tasks.py @@ -9,6 +9,7 @@ from pydantic import AwareDatetime, BaseModel, ConfigDict, Field, StrictBool from .Chat import ChatSettings +from .Common import JinjaTemplate from .Tools import ( ChosenBash20241022, ChosenComputer20241022, diff --git a/agents-api/agents_api/autogen/Tools.py b/agents-api/agents_api/autogen/Tools.py index 4cbf27d65..8288b0564 100644 --- a/agents-api/agents_api/autogen/Tools.py +++ b/agents-api/agents_api/autogen/Tools.py @@ -12,6 +12,7 @@ BaseModel, ConfigDict, Field, + RootModel, StrictBool, ) @@ -147,6 +148,74 @@ class ApiCallDefUpdate(BaseModel): """ +class ArxivSearchArguments(BaseModel): + """ + Arguments for Arxiv Search + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + query: str + """ + The search query for searching with Arxiv + """ + id_list: list[str] | None = None + """ + The list of Arxiv IDs to search with + """ + max_results: Annotated[int, Field(ge=1, le=300000)] = 10 + """ + The maximum number of results to return + """ + download_pdf: StrictBool = False + """ + The download the pdf of the results + """ + sort_by: Literal["relevance", "lastUpdatedDate", "submittedDate"] = "relevance" + """ + The sort criterion for the results + """ + sort_order: Literal["ascending", "descending"] = "descending" + """ + The sort order for the results + """ + + +class ArxivSearchArgumentsUpdate(BaseModel): + """ + Arguments for Arxiv Search + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + query: str | None = None + """ + The search query for searching with Arxiv + """ + id_list: list[str] | None = None + """ + The list of Arxiv IDs to search with + """ + max_results: Annotated[int, Field(ge=1, le=300000)] = 10 + """ + The maximum number of results to return + """ + download_pdf: StrictBool = False + """ + The download the pdf of the results + """ + sort_by: Literal["relevance", "lastUpdatedDate", "submittedDate"] = "relevance" + """ + The sort criterion for the results + """ + sort_order: Literal["ascending", "descending"] = "descending" + """ + The sort order for the results + """ + + class BaseChosenToolCall(BaseModel): """ The response tool value generated by the model @@ -200,6 +269,7 @@ class BaseIntegrationDef(BaseModel): "llama_parse", "ffmpeg", "cloudinary", + "arxiv", ] """ The provider of the integration @@ -239,6 +309,7 @@ class BaseIntegrationDefUpdate(BaseModel): "llama_parse", "ffmpeg", "cloudinary", + "arxiv", ] | None ) = None @@ -886,6 +957,7 @@ class CreateToolRequest(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -1209,29 +1281,21 @@ class LlamaParseFetchArguments(BaseModel): model_config = ConfigDict( populate_by_name=True, ) - result_format: Literal["text", "markdown"] = "text" - """ - The format of the result. Can be "text" or "markdown". Default is "text". - """ - num_workers: Annotated[int, Field(ge=1, le=10)] = 2 - """ - Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - """ - verbose: StrictBool = True + filename: str | None = None """ - Verbose mode for detailed logging. Default is true. + File Name. If not provided, a random name will be generated. """ - language: str = "en" + file: str | list[str] """ - Language of the text. Default is English. + The base64 string of the file, which can be a single string or a list of strings """ - filename: str | None = None + params: dict[str, Any] | None = None """ - File Name. If not provided, a random name will be generated. + Optional upload parameters """ - file: str + base64: StrictBool = False """ - The base64 string of the file + The input file is base64 """ @@ -1243,29 +1307,21 @@ class LlamaParseFetchArgumentsUpdate(BaseModel): model_config = ConfigDict( populate_by_name=True, ) - result_format: Literal["text", "markdown"] = "text" - """ - The format of the result. Can be "text" or "markdown". Default is "text". - """ - num_workers: Annotated[int, Field(ge=1, le=10)] = 2 - """ - Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - """ - verbose: StrictBool = True + filename: str | None = None """ - Verbose mode for detailed logging. Default is true. + File Name. If not provided, a random name will be generated. """ - language: str = "en" + file: str | list[str] | None = None """ - Language of the text. Default is English. + The base64 string of the file, which can be a single string or a list of strings """ - filename: str | None = None + params: dict[str, Any] | None = None """ - File Name. If not provided, a random name will be generated. + Optional upload parameters """ - file: str | None = None + base64: StrictBool = False """ - The base64 string of the file + The input file is base64 """ @@ -1333,6 +1389,10 @@ class LlamaParseSetup(BaseModel): """ The API key for LlamaParse """ + params: dict[str, Any] | None = None + """ + Optional upload parameters + """ class LlamaParseSetupUpdate(BaseModel): @@ -1347,6 +1407,10 @@ class LlamaParseSetupUpdate(BaseModel): """ The API key for LlamaParse """ + params: dict[str, Any] | None = None + """ + Optional upload parameters + """ class NamedToolChoice(BaseModel): @@ -1411,6 +1475,7 @@ class PatchToolRequest(BaseModel): | FfmpegIntegrationDefUpdate | CloudinaryUploadIntegrationDefUpdate | CloudinaryEditIntegrationDefUpdate + | ArxivIntegrationDefUpdate | None ) = None """ @@ -1838,6 +1903,7 @@ class Tool(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -1931,6 +1997,7 @@ class UpdateToolRequest(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -2148,6 +2215,58 @@ class WikipediaSearchArgumentsUpdate(BaseModel): """ +class ArxivIntegrationDef(BaseIntegrationDef): + """ + Arxiv integration definition + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + provider: Literal["arxiv"] = "arxiv" + """ + The provider must be "arxiv" + """ + method: str | None = None + """ + The specific method of the integration to call + """ + setup: Any | None = None + """ + The setup parameters for Arxiv + """ + arguments: ArxivSearchArguments | None = None + """ + The arguments for Arxiv Search + """ + + +class ArxivIntegrationDefUpdate(BaseIntegrationDefUpdate): + """ + Arxiv integration definition + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + provider: Literal["arxiv"] = "arxiv" + """ + The provider must be "arxiv" + """ + method: str | None = None + """ + The specific method of the integration to call + """ + setup: Any | None = None + """ + The setup parameters for Arxiv + """ + arguments: ArxivSearchArgumentsUpdate | None = None + """ + The arguments for Arxiv Search + """ + + class BaseBrowserbaseIntegrationDef(BaseIntegrationDef): """ The base definition for a browserbase integration diff --git a/agents-api/poetry.lock b/agents-api/poetry.lock index 56d589bc4..c396a01ac 100644 --- a/agents-api/poetry.lock +++ b/agents-api/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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b/integrations-service/integrations/autogen/Tools.py index cb548c0e3..8288b0564 100644 --- a/integrations-service/integrations/autogen/Tools.py +++ b/integrations-service/integrations/autogen/Tools.py @@ -148,6 +148,74 @@ class ApiCallDefUpdate(BaseModel): """ +class ArxivSearchArguments(BaseModel): + """ + Arguments for Arxiv Search + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + query: str + """ + The search query for searching with Arxiv + """ + id_list: list[str] | None = None + """ + The list of Arxiv IDs to search with + """ + max_results: Annotated[int, Field(ge=1, le=300000)] = 10 + """ + The maximum number of results to return + """ + download_pdf: StrictBool = False + """ + The download the pdf of the results + """ + sort_by: Literal["relevance", "lastUpdatedDate", "submittedDate"] = "relevance" + """ + The sort criterion for the results + """ + sort_order: Literal["ascending", "descending"] = "descending" + """ + The sort order for the results + """ + + +class ArxivSearchArgumentsUpdate(BaseModel): + """ + Arguments for Arxiv Search + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + query: str | None = None + """ + The search query for searching with Arxiv + """ + id_list: list[str] | None = None + """ + The list of Arxiv IDs to search with + """ + max_results: Annotated[int, Field(ge=1, le=300000)] = 10 + """ + The maximum number of results to return + """ + download_pdf: StrictBool = False + """ + The download the pdf of the results + """ + sort_by: Literal["relevance", "lastUpdatedDate", "submittedDate"] = "relevance" + """ + The sort criterion for the results + """ + sort_order: Literal["ascending", "descending"] = "descending" + """ + The sort order for the results + """ + + class BaseChosenToolCall(BaseModel): """ The response tool value generated by the model @@ -201,6 +269,7 @@ class BaseIntegrationDef(BaseModel): "llama_parse", "ffmpeg", "cloudinary", + "arxiv", ] """ The provider of the integration @@ -240,6 +309,7 @@ class BaseIntegrationDefUpdate(BaseModel): "llama_parse", "ffmpeg", "cloudinary", + "arxiv", ] | None ) = None @@ -887,6 +957,7 @@ class CreateToolRequest(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -1210,29 +1281,21 @@ class LlamaParseFetchArguments(BaseModel): model_config = ConfigDict( populate_by_name=True, ) - result_format: Literal["text", "markdown"] = "text" - """ - The format of the result. Can be "text" or "markdown". Default is "text". - """ - num_workers: Annotated[int, Field(ge=1, le=10)] = 2 - """ - Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - """ - verbose: StrictBool = True + filename: str | None = None """ - Verbose mode for detailed logging. Default is true. + File Name. If not provided, a random name will be generated. """ - language: str = "en" + file: str | list[str] """ - Language of the text. Default is English. + The base64 string of the file, which can be a single string or a list of strings """ - filename: str | None = None + params: dict[str, Any] | None = None """ - File Name. If not provided, a random name will be generated. + Optional upload parameters """ - file: str + base64: StrictBool = False """ - The base64 string of the file + The input file is base64 """ @@ -1244,29 +1307,21 @@ class LlamaParseFetchArgumentsUpdate(BaseModel): model_config = ConfigDict( populate_by_name=True, ) - result_format: Literal["text", "markdown"] = "text" - """ - The format of the result. Can be "text" or "markdown". Default is "text". - """ - num_workers: Annotated[int, Field(ge=1, le=10)] = 2 - """ - Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - """ - verbose: StrictBool = True + filename: str | None = None """ - Verbose mode for detailed logging. Default is true. + File Name. If not provided, a random name will be generated. """ - language: str = "en" + file: str | list[str] | None = None """ - Language of the text. Default is English. + The base64 string of the file, which can be a single string or a list of strings """ - filename: str | None = None + params: dict[str, Any] | None = None """ - File Name. If not provided, a random name will be generated. + Optional upload parameters """ - file: str | None = None + base64: StrictBool = False """ - The base64 string of the file + The input file is base64 """ @@ -1334,6 +1389,10 @@ class LlamaParseSetup(BaseModel): """ The API key for LlamaParse """ + params: dict[str, Any] | None = None + """ + Optional upload parameters + """ class LlamaParseSetupUpdate(BaseModel): @@ -1348,6 +1407,10 @@ class LlamaParseSetupUpdate(BaseModel): """ The API key for LlamaParse """ + params: dict[str, Any] | None = None + """ + Optional upload parameters + """ class NamedToolChoice(BaseModel): @@ -1412,6 +1475,7 @@ class PatchToolRequest(BaseModel): | FfmpegIntegrationDefUpdate | CloudinaryUploadIntegrationDefUpdate | CloudinaryEditIntegrationDefUpdate + | ArxivIntegrationDefUpdate | None ) = None """ @@ -1839,6 +1903,7 @@ class Tool(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -1932,6 +1997,7 @@ class UpdateToolRequest(BaseModel): | FfmpegIntegrationDef | CloudinaryUploadIntegrationDef | CloudinaryEditIntegrationDef + | ArxivIntegrationDef | None ) = None """ @@ -2149,6 +2215,58 @@ class WikipediaSearchArgumentsUpdate(BaseModel): """ +class ArxivIntegrationDef(BaseIntegrationDef): + """ + Arxiv integration definition + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + provider: Literal["arxiv"] = "arxiv" + """ + The provider must be "arxiv" + """ + method: str | None = None + """ + The specific method of the integration to call + """ + setup: Any | None = None + """ + The setup parameters for Arxiv + """ + arguments: ArxivSearchArguments | None = None + """ + The arguments for Arxiv Search + """ + + +class ArxivIntegrationDefUpdate(BaseIntegrationDefUpdate): + """ + Arxiv integration definition + """ + + model_config = ConfigDict( + populate_by_name=True, + ) + provider: Literal["arxiv"] = "arxiv" + """ + The provider must be "arxiv" + """ + method: str | None = None + """ + The specific method of the integration to call + """ + setup: Any | None = None + """ + The setup parameters for Arxiv + """ + arguments: ArxivSearchArgumentsUpdate | None = None + """ + The arguments for Arxiv Search + """ + + class BaseBrowserbaseIntegrationDef(BaseIntegrationDef): """ The base definition for a browserbase integration diff --git a/integrations-service/integrations/models/__init__.py b/integrations-service/integrations/models/__init__.py index 2879a6fd3..e5fe3f218 100644 --- a/integrations-service/integrations/models/__init__.py +++ b/integrations-service/integrations/models/__init__.py @@ -1,3 +1,9 @@ +from .arxiv import ( + ArxivSearchOutput as ArxivSearchOutput, +) +from .arxiv import ( + ArxivSearchResult as ArxivSearchResult, +) from .base_models import ( BaseOutput as BaseOutput, ) @@ -10,8 +16,12 @@ from .base_models import ( ProviderInfo as ProviderInfo, ) -from .brave import BraveSearchOutput as BraveSearchOutput -from .brave import SearchResult as SearchResult +from .brave import ( + BraveSearchOutput as BraveSearchOutput, +) +from .brave import ( + SearchResult as SearchResult, +) from .browserbase import ( BrowserbaseCompleteSessionOutput as BrowserbaseCompleteSessionOutput, ) diff --git a/integrations-service/integrations/models/arxiv.py b/integrations-service/integrations/models/arxiv.py new file mode 100644 index 000000000..31edf455a --- /dev/null +++ b/integrations-service/integrations/models/arxiv.py @@ -0,0 +1,26 @@ +from typing import List, Optional + +from pydantic import BaseModel, Field + +from .base_models import BaseOutput + + +class ArxivSearchResult(BaseModel): + entry_id: Optional[str] = None + title: Optional[str] = None + updated: Optional[str] = None + published: Optional[str] = None + authors: Optional[List[str]] = None + summary: Optional[str] = None + comment: Optional[str] = None + journal_ref: Optional[str] = None + doi: Optional[str] = None + primary_category: Optional[str] = None + categories: Optional[List[str]] = None + links: Optional[List[str]] = None + pdf_url: Optional[str] = None + pdf_downloaded: Optional[dict] = None + + +class ArxivSearchOutput(BaseOutput): + result: List[ArxivSearchResult] = Field(..., description="A list of search results") diff --git a/integrations-service/integrations/models/execution.py b/integrations-service/integrations/models/execution.py index 693d9fa2d..397782e87 100644 --- a/integrations-service/integrations/models/execution.py +++ b/integrations-service/integrations/models/execution.py @@ -3,6 +3,7 @@ from pydantic import BaseModel from ..autogen.Tools import ( + ArxivSearchArguments, # Arguments BraveSearchArguments, # Setup @@ -32,6 +33,7 @@ WeatherSetup, WikipediaSearchArguments, ) +from .arxiv import ArxivSearchOutput from .brave import BraveSearchOutput from .browserbase import ( BrowserbaseCompleteSessionOutput, @@ -92,6 +94,7 @@ class ExecutionError(BaseModel): FfmpegSearchArguments, CloudinaryUploadArguments, CloudinaryEditArguments, + ArxivSearchArguments, ] ExecutionResponse = Union[ @@ -114,6 +117,7 @@ class ExecutionError(BaseModel): CloudinaryEditOutput, CloudinaryUploadOutput, ExecutionError, + ArxivSearchOutput, ] diff --git a/integrations-service/integrations/providers.py b/integrations-service/integrations/providers.py index 0589e4449..dafeced4c 100644 --- a/integrations-service/integrations/providers.py +++ b/integrations-service/integrations/providers.py @@ -1,4 +1,5 @@ from .autogen.Tools import ( + ArxivSearchArguments, # Arguments imports BraveSearchArguments, # Setup imports @@ -28,6 +29,7 @@ WikipediaSearchArguments, ) from .models import ( + ArxivSearchOutput, BaseProvider, BaseProviderMethod, BraveSearchOutput, @@ -279,6 +281,25 @@ ), ) +arxiv = BaseProvider( + provider="arxiv", + setup=None, + methods=[ + BaseProviderMethod( + method="search", + description="Search with Arxiv", + arguments=ArxivSearchArguments, + output=ArxivSearchOutput, + ), + ], + info=ProviderInfo( + url="https://pypi.org/project/arxiv/", + docs="https://info.arxiv.org/help/api/index.html", + icon="https://arxiv.com/favicon.ico", + friendly_name="Arxiv Search", + ), +) + available_providers: dict[str, BaseProvider] = { "wikipedia": wikipedia, "weather": weather, @@ -290,4 +311,5 @@ "llama_parse": llama_parse, "ffmpeg": ffmpeg, "cloudinary": cloudinary, + "arxiv": arxiv, } diff --git a/integrations-service/integrations/utils/integrations/arxiv.py b/integrations-service/integrations/utils/integrations/arxiv.py new file mode 100644 index 000000000..d32605933 --- /dev/null +++ b/integrations-service/integrations/utils/integrations/arxiv.py @@ -0,0 +1,86 @@ +import base64 +import os +import tempfile + +import arxiv +from beartype import beartype +from tenacity import retry, stop_after_attempt, wait_exponential + +from ...autogen.Tools import ArxivSearchArguments +from ...models import ArxivSearchOutput, ArxivSearchResult + + +@beartype +@retry( + wait=wait_exponential(multiplier=1, min=4, max=10), + reraise=True, + stop=stop_after_attempt(4), +) +async def search(arguments: ArxivSearchArguments) -> ArxivSearchOutput: + """ + Searches Arxiv with the provided query. + """ + + assert isinstance(arguments, ArxivSearchArguments), "Invalid arguments" + + client = arxiv.Client() + sort_criterion = { + "submittedDate": arxiv.SortCriterion.SubmittedDate, + "lastUpdatedDate": arxiv.SortCriterion.LastUpdatedDate, + }.get(arguments.sort_by, arxiv.SortCriterion.Relevance) + + sort_order = ( + arxiv.SortOrder.Descending + if arguments.sort_order == "descending" + else arxiv.SortOrder.Ascending + ) + + search = arxiv.Search( + query=arguments.query, + max_results=arguments.max_results, + sort_by=sort_criterion, + sort_order=sort_order, + ) + + results = [] + search_results = client.results(search) + + def create_arxiv_search_result(result, pdf_content=None): + return ArxivSearchResult( + entry_id=result.entry_id, + title=result.title, + authors=[author.name for author in result.authors], + summary=result.summary.replace("\n", ""), + published=result.published.strftime("%Y-%m-%d %H:%M:%S"), + updated=result.updated.strftime("%Y-%m-%d %H:%M:%S"), + comment=result.comment, + journal_ref=result.journal_ref, + doi=result.doi, + primary_category=result.primary_category, + categories=result.categories, + links=[link.href for link in result.links], + pdf_url=result.pdf_url, + pdf_downloaded={ + "base64": pdf_content, + "mime_type": "application/pdf", + "title": result.title, + } + if pdf_content + else None, + ) + + if arguments.download_pdf: + for result in search_results: + with tempfile.TemporaryDirectory() as temp_dir: + result.download_pdf(dirpath=temp_dir, filename=f"{result.title}.pdf") + with open(f"{temp_dir}/{result.title}.pdf", "rb") as pdf_file: + pdf_content = base64.b64encode(pdf_file.read()).decode("utf-8") + results.append(create_arxiv_search_result(result, pdf_content)) + else: + for result in search_results: + results.append(create_arxiv_search_result(result)) + + print("-" * 30) + print(results) + + return ArxivSearchOutput(result=results) diff --git a/integrations-service/integrations/utils/integrations/cloudinary.py b/integrations-service/integrations/utils/integrations/cloudinary.py index 213efd405..ccfecc7cf 100644 --- a/integrations-service/integrations/utils/integrations/cloudinary.py +++ b/integrations-service/integrations/utils/integrations/cloudinary.py @@ -1,4 +1,5 @@ import base64 +import uuid import aiohttp import cloudinary @@ -51,8 +52,9 @@ async def media_upload( # Upload the file upload_params = arguments.upload_params or {} - if arguments.public_id: - upload_params["public_id"] = arguments.public_id + upload_params["public_id"] = ( + arguments.public_id if arguments.public_id else str(uuid.uuid4()) + ) result = cloudinary.uploader.upload(arguments.file, **upload_params) diff --git a/integrations-service/integrations/utils/integrations/llama_parse.py b/integrations-service/integrations/utils/integrations/llama_parse.py index 509b6dfb4..a5c17ba9c 100644 --- a/integrations-service/integrations/utils/integrations/llama_parse.py +++ b/integrations-service/integrations/utils/integrations/llama_parse.py @@ -30,19 +30,26 @@ async def parse( if (api_key := setup.llamaparse_api_key) == "DEMO_API_KEY": api_key = llama_api_key + # get the additional params + params = ( + {**setup.params, **arguments.params} + if setup.params and arguments.params + else setup.params or arguments.params + ) + parser = LlamaParse( api_key=api_key, # Use the local variable instead - result_type=arguments.result_format, - num_workers=arguments.num_workers, - language=arguments.language, + **(params if params is not None else None), ) - # Simplify filename assignment using or operator - extra_info = {"file_name": arguments.filename or str(uuid.uuid4())} - - # Parse the document (decode inline) - documents = await parser.aload_data( - base64.b64decode(arguments.file), extra_info=extra_info - ) + if isinstance(arguments.file, str) and arguments.base64: + extra_info = {"file_name": arguments.filename or str(uuid.uuid4())} + # Parse the document (decode inline) + documents = await parser.aload_data( + base64.b64decode(arguments.file), extra_info=extra_info + ) + else: + # Parse the document (decode inline) + documents = await parser.aload_data(arguments.file) return LlamaParseFetchOutput(documents=documents) diff --git a/integrations-service/poetry.lock b/integrations-service/poetry.lock index 2d7e2e309..f6a706e70 100644 --- a/integrations-service/poetry.lock +++ b/integrations-service/poetry.lock @@ -13,102 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.10" +version = "3.11.7" description = "Async http client/server framework (asyncio)" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = 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-content-hash = "d36621b8c1cc5ff844eff52bb9d622b69dc9d6d512977d6d1fe11b38f22ca4f5" +content-hash = "65fb9f49fff44cbd51be6f3360a4eb95c03106a26b2615c0f6ccdd169a561f95" diff --git a/integrations-service/pyproject.toml b/integrations-service/pyproject.toml index 427a59b45..ee0cfdb95 100644 --- a/integrations-service/pyproject.toml +++ b/integrations-service/pyproject.toml @@ -32,6 +32,7 @@ llama-index = "^0.11.22" llama-parse = "^0.5.13" cloudinary = "^1.41.0" environs = "^11.2.1" +arxiv = "^2.1.3" [tool.poe.tasks] format = "ruff format" diff --git a/typespec/tools/arxiv.tsp b/typespec/tools/arxiv.tsp new file mode 100644 index 000000000..5f292e0b2 --- /dev/null +++ b/typespec/tools/arxiv.tsp @@ -0,0 +1,65 @@ +import "../common"; + +using Common; + +namespace Tools; + +/** Arguments for Arxiv Search */ +model ArxivSearchArguments { + /** The search query for searching with Arxiv */ + query: string; + + /** The list of Arxiv IDs to search with */ + id_list?: Array; + + /** The maximum number of results to return */ + @minValue(1) + @maxValue(300000) + max_results?: int16 = 10; + + /** The download the pdf of the results */ + download_pdf?: boolean = false; + + /** The sort criterion for the results */ + sort_by?: "relevance" | "lastUpdatedDate" | "submittedDate" = "relevance"; + + /** The sort order for the results */ + sort_order?: "ascending" | "descending" = "descending"; +} + +/** Arxiv integration definition */ +model ArxivIntegrationDef extends BaseIntegrationDef { + /** The provider must be "arxiv" */ + provider: "arxiv" = "arxiv"; + + /** The specific method of the integration to call */ + method?: string; + + /** The setup parameters for Arxiv */ + setup?: null = null; + + /** The arguments for Arxiv Search */ + arguments?: ArxivSearchArguments; +} + +/** The result of the Arxiv Search */ +model ArxivSearchOutput { + result: string; +} + +model ArxivProviderCard extends BaseProviderCard { + provider: "arxiv" = "arxiv"; + setup: null = null; + methods: ProviderMethod[] = #[ + #{ + method: "search", + description: "Search with Arxiv", + } + ]; + info: ProviderInfo = #{ + url: "https://pypi.org/project/arxiv/", + docs: "https://info.arxiv.org/help/api/index.html", + icon: "https://arxiv.com/favicon.ico", + friendly_name: "Arxiv Search", + }; +} \ No newline at end of file diff --git a/typespec/tools/llama_parse.tsp b/typespec/tools/llama_parse.tsp index 569ccffc6..cdafed0ac 100644 --- a/typespec/tools/llama_parse.tsp +++ b/typespec/tools/llama_parse.tsp @@ -8,29 +8,24 @@ namespace Tools; model LlamaParseSetup { /** The API key for LlamaParse */ llamaparse_api_key: string; + + /** Optional upload parameters */ + params?: Record; } /** Arguments for LlamaParse integration */ model LlamaParseFetchArguments { - /** The format of the result. Can be "text" or "markdown". Default is "text". */ - result_format?: "text" | "markdown" = "text"; - - /** Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. */ - @minValue(1) - @maxValue(10) - num_workers?: uint8 = 2; - - /** Verbose mode for detailed logging. Default is true. */ - verbose?: boolean = true; - - /** Language of the text. Default is English.*/ - language?: string = "en"; - /** File Name. If not provided, a random name will be generated. */ filename?: string; - /** The base64 string of the file*/ - file: string; + /** The base64 string of the file, which can be a single string or a list of strings */ + file: string | Array; + + /** Optional upload parameters */ + params?: Record; + + /** The input file is base64 */ + base64?: boolean = false; } /** LlamaParse integration definition */ diff --git a/typespec/tools/main.tsp b/typespec/tools/main.tsp index 443329191..d7a2d4eeb 100644 --- a/typespec/tools/main.tsp +++ b/typespec/tools/main.tsp @@ -11,6 +11,7 @@ import "./remote_browser.tsp"; import "./llama_parse.tsp"; import "./ffmpeg.tsp"; import "./cloudinary.tsp"; +import "./arxiv.tsp"; namespace Tools; diff --git a/typespec/tools/models.tsp b/typespec/tools/models.tsp index c41154de0..2eeb72306 100644 --- a/typespec/tools/models.tsp +++ b/typespec/tools/models.tsp @@ -26,6 +26,7 @@ alias integrationProvider = ( | "llama_parse" | "ffmpeg" | "cloudinary" + | "arxiv" ); enum ToolType { @@ -120,6 +121,7 @@ alias IntegrationDef = ( | LlamaParseIntegrationDef | FfmpegIntegrationDef | CloudinaryIntegrationDef + | ArxivIntegrationDef ); // diff --git a/typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml b/typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml index 5c9a57c4c..fa3961cbd 100644 --- a/typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml +++ b/typespec/tsp-output/@typespec/openapi3/openapi-1.0.0.yaml @@ -6588,6 +6588,132 @@ components: format: uint8 description: The timeout for the request description: API call definition + Tools.ArxivIntegrationDef: + type: object + required: + - provider + properties: + provider: + type: string + enum: + - arxiv + description: The provider must be "arxiv" + default: arxiv + method: + type: string + description: The specific method of the integration to call + setup: + nullable: true + description: The setup parameters for Arxiv + default: null + arguments: + allOf: + - $ref: '#/components/schemas/Tools.ArxivSearchArguments' + description: The arguments for Arxiv Search + allOf: + - $ref: '#/components/schemas/Tools.BaseIntegrationDef' + description: Arxiv integration definition + Tools.ArxivIntegrationDefUpdate: + type: object + properties: + provider: + type: string + enum: + - arxiv + description: The provider must be "arxiv" + default: arxiv + method: + type: string + description: The specific method of the integration to call + setup: + nullable: true + description: The setup parameters for Arxiv + default: null + arguments: + allOf: + - $ref: '#/components/schemas/Tools.ArxivSearchArgumentsUpdate' + description: The arguments for Arxiv Search + allOf: + - $ref: '#/components/schemas/Tools.BaseIntegrationDefUpdate' + description: Arxiv integration definition + Tools.ArxivSearchArguments: + type: object + required: + - query + properties: + query: + type: string + description: The search query for searching with Arxiv + id_list: + type: array + items: + type: string + description: The list of Arxiv IDs to search with + max_results: + type: integer + format: int16 + minimum: 1 + maximum: 300000 + description: The maximum number of results to return + default: 10 + download_pdf: + type: boolean + description: The download the pdf of the results + default: false + sort_by: + type: string + enum: + - relevance + - lastUpdatedDate + - submittedDate + description: The sort criterion for the results + default: relevance + sort_order: + type: string + enum: + - ascending + - descending + description: The sort order for the results + default: descending + description: Arguments for Arxiv Search + Tools.ArxivSearchArgumentsUpdate: + type: object + properties: + query: + type: string + description: The search query for searching with Arxiv + id_list: + type: array + items: + type: string + description: The list of Arxiv IDs to search with + max_results: + type: integer + format: int16 + minimum: 1 + maximum: 300000 + description: The maximum number of results to return + default: 10 + download_pdf: + type: boolean + description: The download the pdf of the results + default: false + sort_by: + type: string + enum: + - relevance + - lastUpdatedDate + - submittedDate + description: The sort criterion for the results + default: relevance + sort_order: + type: string + enum: + - ascending + - descending + description: The sort order for the results + default: descending + description: Arguments for Arxiv Search Tools.BaseBrowserbaseIntegrationDef: type: object required: @@ -6729,6 +6855,7 @@ components: - llama_parse - ffmpeg - cloudinary + - arxiv description: The provider of the integration method: type: string @@ -6750,6 +6877,7 @@ components: llama_parse: '#/components/schemas/Tools.LlamaParseIntegrationDef' ffmpeg: '#/components/schemas/Tools.FfmpegIntegrationDef' cloudinary: '#/components/schemas/Tools.BaseCloudinaryIntegrationDef' + arxiv: '#/components/schemas/Tools.ArxivIntegrationDef' description: Integration definition Tools.BaseIntegrationDefUpdate: type: object @@ -6768,6 +6896,7 @@ components: - llama_parse - ffmpeg - cloudinary + - arxiv description: The provider of the integration method: type: string @@ -6789,6 +6918,7 @@ components: llama_parse: '#/components/schemas/Tools.LlamaParseIntegrationDefUpdate' ffmpeg: '#/components/schemas/Tools.FfmpegIntegrationDefUpdate' cloudinary: '#/components/schemas/Tools.BaseCloudinaryIntegrationDefUpdate' + arxiv: '#/components/schemas/Tools.ArxivIntegrationDefUpdate' description: Integration definition Tools.Bash20241022Def: type: object @@ -7675,6 +7805,7 @@ components: - $ref: '#/components/schemas/Tools.FfmpegIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryUploadIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryEditIntegrationDef' + - $ref: '#/components/schemas/Tools.ArxivIntegrationDef' description: The integration to call system: allOf: @@ -7941,66 +8072,46 @@ components: required: - file properties: - result_format: - type: string - enum: - - text - - markdown - description: The format of the result. Can be "text" or "markdown". Default is "text". - default: text - num_workers: - type: integer - format: uint8 - minimum: 1 - maximum: 10 - description: Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - default: 2 - verbose: - type: boolean - description: Verbose mode for detailed logging. Default is true. - default: true - language: - type: string - description: Language of the text. Default is English. - default: en filename: type: string description: File Name. If not provided, a random name will be generated. file: - type: string - description: The base64 string of the file + anyOf: + - type: string + - type: array + items: + type: string + description: The base64 string of the file, which can be a single string or a list of strings + params: + type: object + additionalProperties: {} + description: Optional upload parameters + base64: + type: boolean + description: The input file is base64 + default: false description: Arguments for LlamaParse integration Tools.LlamaParseFetchArgumentsUpdate: type: object properties: - result_format: - type: string - enum: - - text - - markdown - description: The format of the result. Can be "text" or "markdown". Default is "text". - default: text - num_workers: - type: integer - format: uint8 - minimum: 1 - maximum: 10 - description: Number of workers for parallel processing. Default is 2, but can be set between 1 and 10. - default: 2 - verbose: - type: boolean - description: Verbose mode for detailed logging. Default is true. - default: true - language: - type: string - description: Language of the text. Default is English. - default: en filename: type: string description: File Name. If not provided, a random name will be generated. file: - type: string - description: The base64 string of the file + anyOf: + - type: string + - type: array + items: + type: string + description: The base64 string of the file, which can be a single string or a list of strings + params: + type: object + additionalProperties: {} + description: Optional upload parameters + base64: + type: boolean + description: The input file is base64 + default: false description: Arguments for LlamaParse integration Tools.LlamaParseIntegrationDef: type: object @@ -8058,6 +8169,10 @@ components: llamaparse_api_key: type: string description: The API key for LlamaParse + params: + type: object + additionalProperties: {} + description: Optional upload parameters description: Setup parameters for LlamaParse integration Tools.LlamaParseSetupUpdate: type: object @@ -8065,6 +8180,10 @@ components: llamaparse_api_key: type: string description: The API key for LlamaParse + params: + type: object + additionalProperties: {} + description: Optional upload parameters description: Setup parameters for LlamaParse integration Tools.NamedToolChoice: type: object @@ -8110,6 +8229,7 @@ components: - $ref: '#/components/schemas/Tools.FfmpegIntegrationDefUpdate' - $ref: '#/components/schemas/Tools.CloudinaryUploadIntegrationDefUpdate' - $ref: '#/components/schemas/Tools.CloudinaryEditIntegrationDefUpdate' + - $ref: '#/components/schemas/Tools.ArxivIntegrationDefUpdate' description: The integration to call system: allOf: @@ -8517,6 +8637,7 @@ components: - $ref: '#/components/schemas/Tools.FfmpegIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryUploadIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryEditIntegrationDef' + - $ref: '#/components/schemas/Tools.ArxivIntegrationDef' description: The integration to call system: allOf: @@ -8612,6 +8733,7 @@ components: - $ref: '#/components/schemas/Tools.FfmpegIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryUploadIntegrationDef' - $ref: '#/components/schemas/Tools.CloudinaryEditIntegrationDef' + - $ref: '#/components/schemas/Tools.ArxivIntegrationDef' description: The integration to call system: allOf: