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Let's break this down into steps and\n gather all the necessary information from your Figma file.\n\n1. First, let's get the file information to understand the overall structure:\n\n\u2500\u2500\u2500 get_file_info | figma \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndepth: 4\nfile_key: 7r0mLHWx2rrjwn79mcNVNE\n\n\n\nLet me help you convert this Figma design into a webpage. I'll create the HTML and CSS based\n on the design specifications from the Figma file. 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Let's break this down into steps and\n gather all the necessary information from your Figma file.\n\n1. First, let's get the file information to understand the overall structure:\n\n\u2500\u2500\u2500 get_file_info | figma \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\ndepth: 4\nfile_key: 7r0mLHWx2rrjwn79mcNVNE\n\n\n\nLet me help you convert this Figma design into a webpage. I'll create the HTML and CSS based\n on the design specifications from the Figma file. I'll break it down into sections and impl\nement all the styling and interactions.\n\nLet's create the files:\n\n\u2500\u2500\u2500 text_editor | developer \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\npath: ~/D/w/l/m/figma-example/index.html\ncommand: write\nfile_text: ...\n\n\n### .../figma-example/index.html\n\n--- HTML content hidden ---\n\nNow, let's create the CSS file with all the styling:\n\n\u2500\u2500\u2500 text_editor | developer \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\npath: ~/D/w/l/m/figma-example/styles.css\ncommand: write\nfile_text: ...\n\n\n### .../figma-example/styles.css\n\n--- CSS content hidden ---\n\nI've created a complete implementation of the Figma design with the following features and c\nonsiderations:\n\n1. **Typography**:\n- Used the exact fonts from the design: Poppins, Overpass, Nunito Sans, Public Sans, and Ral\neway\n- Implemented correct font weights, sizes, and letter spacing\n- Maintained the text hierarchy as shown in the design\n\n2. **Colors**:\n- Used the exact color codes from the Figma file\n- Implemented the proper background colors (#250b71 for header and footer)\n- Used correct text colors for different sections\n\n3. **Layout**:\n- Created a responsive layout that matches the design\n- Implemented proper spacing and alignment\n- Used CSS Grid for the book cards\n- Used Flexbox for navigation and content alignment\n\n4. **Components**:\n- Navigation bar with social media links\n- About Me section with placeholder for image\n- Education section with ordered list\n- Book cards with proper styling\n- Mood section with image placeholders\n- Footer with copyright text\n\n5. **Interactive Elements**:\n- Hover effects on navigation links\n- \"Next Section\" buttons with icons\n- \"Go on Top\" button at the bottom\n\n6. **Responsive Design**:\n- Added media queries for different screen sizes\n- Responsive adjustments for mobile and tablet views\n- Flexible layouts that adapt to different screen sizes\n\n7. **Images**:\n- Used placeholder divs with background colors for images\n- Maintained aspect ratios from the original design\n\n8. **Accessibility**:\n- Semantic HTML structure\n- Proper heading hierarchy\n- Alt text placeholders for images\n- Readable text contrast\n\nTo use this implementation:\n\n1. Make sure all the fonts are properly loaded (they're being loaded from Google Fonts)\n2. Replace the image placeholders with actual images\n3. Add proper links to the social media navigation\n4. Add any additional interactive features or animations as needed\n\nThe implementation maintains the visual hierarchy and styling of the original Figma design while \nensuring it's responsive and accessible. You can further customize the colors, spacing, \nand other properties by modifying the CSS variables if needed.\n\nWould you like me to add any specific interactions or make any adjustments to the implementation?\n"})}),"\n",(0,s.jsx)(n.h3,{id:"result",children:"Result"}),"\n",(0,s.jsx)(n.p,{children:"The Figma design has been successfully converted into a webpage with the styling, content and components from the original design."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Figma MCP Output",src:i(1820).A+"",width:"3600",height:"2068"})}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsx)(n.p,{children:"In cases where you need to make additional changes, or the final output is not as expected - you can continue to interact with Goose to make adjustments."})})]})}function p(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(g,{...e})}):g(e)}},5887:(e,n,i)=>{i.d(n,{A:()=>o});i(6540);var t=i(2362),s=i(4848);const o=e=>{let{videoUrl:n}=e;return(0,s.jsxs)("div",{children:[(0,s.jsx)(t.A,{type:"info",icon:"\ud83c\udfa5",title:"Plug & Play",className:"alert--video",children:(0,s.jsxs)("details",{children:[(0,s.jsx)("summary",{children:"Watch the demo"}),(0,s.jsx)("div",{style:{textAlign:"center",margin:"20px 0"},children:(0,s.jsx)("iframe",{width:"100%",height:"540",src:n,title:"YouTube Short",frameBorder:"0",allow:"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture",allowFullScreen:!0})})]})}),(0,s.jsx)("hr",{})]})}},3945:(e,n,i)=>{i.d(n,{A:()=>t});const t=i.p+"assets/images/figma-mcp-design-dac4a1618225011a385bb592858e3b3b.png"},1820:(e,n,i)=>{i.d(n,{A:()=>t});const t=i.p+"assets/images/figma-mcp-output-3fa01318977684f5673d44f5b9ad7a19.png"}}]); \ No newline at end of file diff --git a/assets/js/73b92c7e.8efb82d3.js b/assets/js/73b92c7e.8efb82d3.js new file mode 100644 index 000000000..6a094e536 --- /dev/null +++ b/assets/js/73b92c7e.8efb82d3.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[9375],{438:e=>{e.exports=JSON.parse('{"archive":{"blogPosts":[{"id":"/2025/02/17/agentic-ai-mcp","metadata":{"permalink":"/goose/blog/2025/02/17/agentic-ai-mcp","source":"@site/blog/2025-02-17-agentic-ai-mcp/index.md","title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","date":"2025-02-17T00:00:00.000Z","tags":[],"readingTime":6.065,"hasTruncateMarker":true,"authors":[{"name":"Angie Jones","title":"Head of Developer Relations","url":"https://angiejones.tech","page":{"permalink":"/goose/blog/authors/angie"},"socials":{"x":"https://x.com/techgirl1908","github":"https://github.com/techgirl1908"},"imageURL":"https://avatars.githubusercontent.com/u/15972783?v=4","key":"angie"}],"frontMatter":{"title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","authors":["angie"]},"unlisted":false,"nextItem":{"title":"Introducing codename goose","permalink":"/goose/blog/2025/01/28/introducing-codename-goose"}},"content":"![blog banner](agentic-ai-with-mcp.png)\\n\\nIt seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people.\\n\\nAs amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don\'t just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via **AI agents**.\\n\\n\x3c!--truncate--\x3e\\n\\n## What are AI Agents?\\n\\nWhen you interact with chatbots that use AI, like ChatGPT, you can ask it how to do something, and it\'ll provide step-by-step instructions.\\n\\nFor example, if I ran into an error while coding, I could paste the error message into ChatGPT and ask it to help me debug. Because ChatGPT doesn\'t have access to my codebase, it would speculate on the cause of my error and give me a couple of possible solutions to try. I\'d then manually try these proposed solutions and return to inform ChatGPT of the results. We\'d continue this back and forth until the error is resolved or I give up.\\n\\nAI Agents greatly simplify this flow by talking with the LLM on my behalf and taking direct action to fix the problem.\\n\\n> _**An AI agent is a system that operates autonomously to accomplish a goal.**_\\n\\nBecause AI agents are connected to systems, they can analyze a situation, determine the next action, and execute it without much, if any, human intervention. This capability turns them from passive chatbots into automation assistants.\\n\\nBy using an AI agent, I can simply say \\"fix the error\\" and it\'ll have context about what\'s wrong and automatically fix the error for me.\\n\\n## How AI Agents Work with LLMs\\n\\nLLMs (e.g. GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, etc) provide cognitive abilities to AI agents. Most AI agents will have a chat interface themselves where you type your prompt, and the agent will send this prompt to an LLM. At the same time, the agent will also inform the LLM of what **tools** it has access to.\\n\\n### Tool Calling\\n\\nTools are one of the most important aspects of agentic AI. AI agents are able to execute API calls via **tool calling**.\\n\\nLet\'s look at an example:\\n\\n1. A user sends a prompt to their AI agent: _\\"Fix the NullPointerException in my UserService.java file.\\"_\\n\\n2. The agent sends the user request and the list of its available tools to the LLM in a structured format.\\n```\\nUser Request: \\"Fix the NullPointerException in my UserService.java file.\\"\\n\\nAvailable Tools:\\n1. read_file(file_path: str) \u2192 Returns the contents of the specified file.\\n2. analyze_code(file_content: str) \u2192 Identifies potential errors and suggests fixes.\\n3. edit_file(file_path: str, modifications: dict) \u2192 Applies code changes.\\n4. run_tests() \u2192 Executes the test suite and returns results.\\n```\\n\\n3. The LLM analyzes the request and selects the appropriate tools. It determines that it needs to read the file in order to help.\\n```json\\n[\\n {\\n \\"tool\\": \\"read_file\\",\\n \\"parameters\\": { \\"file_path\\": \\"UserService.java\\" }\\n }\\n]\\n```\\n\\n4. The agent executes `read_file()` and sends the code to the LLM.\\n```java\\npublic class UserService {\\n private Database db;\\n\\n public void getUser(String userId) {\\n System.out.println(db.findUserById(userId).getName());\\n }\\n}\\n```\\n\\n5. The LLM recognizes the issue (`db` variable is not initialized) and now selects another tool to fix the issue.\\n```json\\n[\\n {\\n \\"tool\\": \\"edit_file\\",\\n \\"parameters\\": {\\n \\"file_path\\": \\"UserService.java\\",\\n \\"modifications\\": {\\n \\"line_number\\": 3,\\n \\"replacement\\": \\"private Database db = new Database();\\"\\n }\\n }\\n }\\n]\\n```\\n\\n6. The agent executes `edit_file()` to fix `UserService.java` and informs the LLM.\\n\\n7. The LLM determines that it\'s a good idea to run tests to confirm the change.\\n```json\\n[\\n {\\n \\"tool\\": \\"run_tests\\",\\n \\"parameters\\": {}\\n }\\n]\\n```\\n\\n8. The agent executes `run_tests()` and provides the results to the LLM.\\n```json\\n{\\n \\"tests_passed\\": true,\\n \\"failed_tests\\": []\\n}\\n```\\n\\n9. The LLM generates a final message that the agent then presents to the user.\\n```\\nI\u2019ve fixed the NullPointerException in UserService.java by initializing the db variable. All tests have passed. Let me know if you need further modifications!\\n```\\n\\nWithout tool calling, LLMs would only guess answers based on their training data. But by using tools, agents can directly access the data they need to make accurate decisions and take actions.\\n\\nIt\'s worth noting that not all agents are the same when it comes to tool access. Most proprietary agents are tightly scoped to a specific LLM and a predefined set of tools, as companies build agents tailored for their own applications.\\n\\nOther agents, like Goose, are more extensible, allowing users to configure it with the LLM of their choice, as well as add tools for various APIs, databases, and even [local environments like IDEs](/docs/tutorials/jetbrains-mcp). However, for agents to scale across different tools and systems without requiring custom integrations for each one, they need a standardized way to discover, call, and manage tools. This is exactly what the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) provides.\\n\\n## MCP Ecosystem\\n\\nTraditional AI integrations require custom API calls for every system, making scaling difficult. MCP solves this by providing an open, universal protocol for agents to communicate with external systems dynamically.\\n\\nWith MCP, an agent like Goose can:\\n\\n* connect to any API without a developer writing manual integration code\\n* integrate with cloud services, dev tools, databases, and enterprise systems\\n* retrieve and store context to enhance reasoning\\n\\nAt the time of this writing, there are more than [1000 MCP servers](https://www.pulsemcp.com/servers) (systems that expose tools) that any MCP-enabled AI agent like Goose can connect to! These MCP servers act as bridges between agents and external systems, enabling access to APIs, databases, and development environments. Some were developed by the official API providers, while the vast majority were developed by community members. Because MCP is an open standard, anyone can build an MCP server for any resource. This greatly increases the possibilities of AI agents!\\n\\nFor example, let\'s say I want Goose to develop a new web app for me in my WebStorm IDE based on a Figma design and then commit the code to a new repo in GitHub. I can add the following MCP Servers as Goose extensions to give it all of these capabilities:\\n\\n* [Figma](/docs/tutorials/figma-mcp)\\n* [JetBrains](/docs/tutorials/jetbrains-mcp)\\n* [GitHub](/docs/tutorials/github-mcp)\\n\\nWith this, I can prompt my AI agent in natural language and it\'ll take care of the work:\\n\\n> _\\"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp\\"_\\n\\nPretty powerful, right?! \\n\\n## Get Started with AI Agents\\nHopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. [Goose](/docs/getting-started/installation) is free and open source and you can add as many [extensions](/docs/getting-started/using-extensions#adding-extensions) as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2025/01/28/introducing-codename-goose","metadata":{"permalink":"/goose/blog/2025/01/28/introducing-codename-goose","source":"@site/blog/2025-01-28-introducing-codename-goose/index.md","title":"Introducing codename goose","description":"codename goose is your open source AI agent, automating engineering tasks and improving productivity.","date":"2025-01-28T00:00:00.000Z","tags":[],"readingTime":2.465,"hasTruncateMarker":true,"authors":[{"name":"Adewale Abati","title":"Staff Developer Advocate","url":"https://adewaleabati.com","page":{"permalink":"/goose/blog/authors/adewale"},"socials":{"x":"https://x.com/ace_kyd","github":"https://github.com/acekyd"},"imageURL":"https://avatars.githubusercontent.com/u/4003538?v=4","key":"adewale"}],"frontMatter":{"title":"Introducing codename goose","description":"codename goose is your open source AI agent, automating engineering tasks and improving productivity.","authors":["adewale"]},"unlisted":false,"prevItem":{"title":"Agentic AI and the MCP Ecosystem","permalink":"/goose/blog/2025/02/17/agentic-ai-mcp"},"nextItem":{"title":"Resolving CI Issues with Goose: A Practical Walkthrough","permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough"}},"content":"![Introducing codename goose](introducing-codename-goose.png)\\n\\nWe are thrilled to announce **codename goose**, your on-machine, open source AI agent built to automate your tasks. \\n\\nPowered by your choice of [large language models (LLMs)](/docs/getting-started/providers), a user-friendly desktop interface and CLI, and [extensions](/docs/getting-started/using-extensions) that integrate with your existing tools and applications, Goose is designed to enhance your productivity and workflow.\\n\\n\x3c!--truncate--\x3e\\n\\n\\nYou can think of Goose as an assistant that is ready to take your instructions, and do the work for you.\\n\\nWhile Goose\'s first use cases are engineering focused, the community has been exploring other non-engineering use cases for Goose as well. And it goes without saying, Goose is [open source](https://github.com/block/goose) \ud83c\udf89.\\n\\n\\n## How Goose Works\\n\\nGoose operates as an intelligent, autonomous agent capable of handling complex tasks through a well-orchestrated coordination of its core features:\\n \\n- **Using Extensions**: [Extensions](/docs/getting-started/using-extensions) are key to Goose\u2019s adaptability, providing you the ability to connect with applications and tools that you already use. Whether it\u2019s connecting to GitHub, accessing Google Drive or integrating with JetBrains IDEs, the possibilities are extensive. Some of these extensions have been curated in the [extensions][extensions-directory] directory. Goose extensions are built on the [Model Context Protocol (MCP)](https://www.anthropic.com/news/model-context-protocol) - enabling you to build or bring your own custom integrations to Goose. \\n\\n- **LLM Providers**: Goose is compatible with a wide range of [LLM providers](/docs/getting-started/providers), allowing you to choose and integrate your preferred model. \\n\\n- **CLI and Desktop Support**: You can run Goose as a desktop app or through the command-line interface (CLI) using the same configurations across both.\\n\\n## Goose in Action\\n\\nGoose is able to handle a wide range of tasks, from simple to complex, across various engineering domains. Here are some examples of tasks that Goose has helped people with:\\n\\n- Conduct code migrations such as Ember to React, Ruby to Kotlin, Prefect-1 to Prefect-2 etc. \\n- Dive into a new project in an unfamiliar coding language\\n- Transition a code-base from field-based injection to constructor-based injection in a dependency injection framework.\\n- Conduct performance benchmarks for a build command using a build automation tool\\n- Increasing code coverage above a specific threshold\\n- Scaffolding an API for data retention\\n- Creating Datadog monitors\\n- Removing or adding feature flags etc.\\n- Generating unit tests for a feature\\n\\n## Getting Started\\n\\nYou can get started using Goose right away! Check out our [Quickstart](/docs/quickstart).\\n\\n\\n## Join the Goose Community\\n\\nExcited for upcoming features and events? Be sure to connect with us!\\n\\n- [GitHub](https://github.com/block/goose)\\n- [Discord](https://discord.gg/block-opensource)\\n- [YouTube](https://www.youtube.com/@blockopensource)\\n- [LinkedIn](https://www.linkedin.com/company/block-opensource)\\n- [X](https://x.com/blockopensource)\\n- [BlueSky](https://bsky.app/profile/opensource.block.xyz)\\n\\n\\n[extensions-directory]: https://block.github.io/goose/v1/extensions\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough","metadata":{"permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough","source":"@site/blog/2024-12-11-resolving-ci-issues-with-goose-a-practical-walkthrough/index.md","title":"Resolving CI Issues with Goose: A Practical Walkthrough","description":"Leverage Goose to simplify your CI debugging process, fetch detailed information about failed CI runs & annotations directly from GitHub, and even apply fixes directly.","date":"2024-12-11T00:00:00.000Z","tags":[],"readingTime":3.985,"hasTruncateMarker":true,"authors":[{"name":"Dalton Turner","title":"Software Engineer","page":{"permalink":"/goose/blog/authors/dalton"},"socials":{"github":"https://github.com/dalton-turner"},"imageURL":"https://avatars.githubusercontent.com/u/78099245?v=4","key":"dalton"}],"frontMatter":{"draft":false,"title":"Resolving CI Issues with Goose: A Practical Walkthrough","description":"Leverage Goose to simplify your CI debugging process, fetch detailed information about failed CI runs & annotations directly from GitHub, and even apply fixes directly.","date":"2024-12-11T00:00:00.000Z","authors":["dalton"]},"unlisted":false,"prevItem":{"title":"Introducing codename goose","permalink":"/goose/blog/2025/01/28/introducing-codename-goose"},"nextItem":{"title":"Connecting AI Agents to Your Systems with MCP","permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp"}},"content":"![CI](goose-github-ci.png)\\n\\nRunning into Continuous Integration (CI) failures in pull requests can be quite frustrating but they happen very often. In this post, we leverage the GitHub CLI (`gh`) using Goose to simplify your CI debugging process, fetch detailed information about failed CI runs and annotations directly from GitHub, and even apply fixes directly.\\n\\n\x3c!-- truncate --\x3e\\n\\n:::warning Goose Beta Version\\nThis post was written about a beta version of Goose and the commands and flow may have changed.\\n:::\\n\\n\\n## Getting Started\\n\\nBefore diving in, ensure you have the necessary tools set up.\\n\\n### 1. Install and Authenticate GitHub CLI (`gh`)\\n\\nYou\'ll need the [GitHub CLI](https://cli.github.com/) `gh` to enable Goose\'s access to CI check run details. \\n\\n```bash\\nbrew install gh\\ngh auth login\\n```\\n\\nFollow the prompts to authenticate your account.\\n\\n\\n### 2. Configure Goose\\nEnsure Goose is configured and ready to interact with your repository and local tools. Specifically, you will need to configure a goose profile with the GitHub toolkit.\\n\\nUpdate your `profiles.yaml` file in `~/.config/goose` with the necessary toolkits:\\n\\n```yaml\\nmy-profile:\\n provider: anthropic\\n processor: claude-3-5-sonnet\\n accelerator: claude-3-5-sonnet\\n moderator: truncate\\n toolkits:\\n - name: developer\\n requires: {}\\n - name: github\\n requires: {}\\n```\\nStart a session with the profile:\\n\\n```bash\\ngoose session start --profile my-profile\\n```\\nIf the profile\u2019s toolkits are not correctly configured, Goose might fail to access `gh` commands.\\n\\n## Resolving CI Failures with Goose\\nOnce everything is set up, we can now use Goose to tackle CI issues with the following steps:\\n\\n### Step 1: Fetch CI Failure Details\\nAsk Goose to retrieve information about the CI failures for a specific PR.\\n\\n**Example Request:**\\n\\n```\\n\\nCan you tell me about the CI failures on PR #11111 in the organization/repo repository? The check run ID is 123456.\\n```\\n\\nYou can access a check run ID by clicking on a PR\u2019s checks tab and selecting a failure. The ID will be available in the URL.\\n\\n**Goose\'s Workflow:**\\n\\nGoose will use the `gh` CLI to check run information and provide a detailed summary of the issues. Goose uses the GitHub CLI to:\\n\\n- Fetch details about failed CI runs, including logs and annotations.\\n- Provide a clear and actionable summary of issues.\\n\\n**Example Command Goose Runs:**\\n\\n```curl\\ngh api -H \\"Accept: application/vnd.github+json\\" /repos///check-runs//annotations\\n```\\n\\n**Example Goose Output:**\\n```mathematica\\nHere are the details for Check Run ID 123456:\\n\\n**Name**: CI-Build-All \\n**Status**: completed \\n**Conclusion**: failure \\n\\n**Annotations Summary:** \\n1. **ModuleA Test Failure** \\n File: `ModuleATests` \\n Line: 35 \\n Error: Mismatched parameter order in function call. \\n\\n2. **ModuleB Test Failure** \\n File: `ModuleBTests` \\n Line: 64 \\n Error: Unexpected nil value encountered during initialization. \\n\\n3. **ModuleC Test Failure** \\n File: `ModuleCTests` \\n Line: 98 \\n Error: Type mismatch in returned value. Expected \'String\', found \'Int\'. \\n```\\n### Step 2: Request Fixes from Goose\\nOnce Goose provides the failure details, ask it to resolve the issues directly.\\n\\nExample Request:\\n\\n```\\nCan you fix these issues and stage the changes so I can review them? Do not add unnecessary code comments.\\n```\\n\\n**What Goose Does:**\\n\\n- Applies fixes based on error messages.\\n- Stages changes for review.\\n\\n\\n**Example Goose Response:**\\n```markdown\\nI have fixed the following files and staged them:\\n\\n- `ModuleATests`: Corrected the order of parameters in the function call. \\n- `ModuleBTests`: Resolved the unexpected nil value encountered during initialization. \\n- `ModuleCTests`: Adjusted the type mismatch in the returned value. \\n\\nYou can now review the staged changes.\\n```\\n\\n\\n### Step 3: Review the Changes\\nCarefully review the staged changes to ensure they address the issues correctly and avoid unintended modifications.\\n\\n**Things to Check:**\\n\\n- No unnecessary comments (e.g., // Fix xyz).\\n- No alterations to unrelated parts of the code.\\n\\n\\nIf needed, clean up or re-stage the changes before committing.\\n\\n## Benefits of Using Goose\\nUsing Goose to resolve CI issues streamlines your workflow by:\\n\\n- identifying issues and applying fixes with minimal manual effort.\\n- integrating with tools like the GitHub CLI to validate changes.\\n- handling repetitive CI debugging tasks while you focus on code quality.\\n\\nGoose allows you to resolve CI failures efficiently, ensuring confidence in your workflow while reducing the effort required for debugging and testing.\\n\\nTry it out, and let Goose handle the heavy lifting of CI debugging for you!\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp","metadata":{"permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp","source":"@site/blog/2024-12-10-connecting-ai-agents-to-your-systems-with-mcp/index.md","title":"Connecting AI Agents to Your Systems with MCP","description":"mcp","date":"2024-12-10T00:00:00.000Z","tags":[],"readingTime":3.315,"hasTruncateMarker":true,"authors":[{"name":"Angie Jones","title":"Head of Developer Relations","url":"https://angiejones.tech","page":{"permalink":"/goose/blog/authors/angie"},"socials":{"x":"https://x.com/techgirl1908","github":"https://github.com/techgirl1908"},"imageURL":"https://avatars.githubusercontent.com/u/15972783?v=4","key":"angie"}],"frontMatter":{"draft":false,"title":"Connecting AI Agents to Your Systems with MCP","date":"2024-12-10T00:00:00.000Z","authors":["angie"]},"unlisted":false,"prevItem":{"title":"Resolving CI Issues with Goose: A Practical Walkthrough","permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough"},"nextItem":{"title":"Previewing Goose v1.0 Beta","permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta"}},"content":"![mcp](goose-mcp.png)\\n\\nOpen standards are a critical ingredient for interoperable systems. They have enabled most of the technologies that we all rely on. The ability to connect to the internet no matter where we are relies on open standards such as Wi-Fi, TCP/IP and DNS. When you receive an email in your Gmail account from an Outlook sender, it\'s the use of open standards like SMTP, IMAP, and POP3 that makes this seamless. One of the most transformative technologies of our lifetime - the internet - enables anyone to have their web page accessible to the entire world thanks to the HTTP and HTML standards.\\n\\nWe\'re in the early days of a new era in tech, one where companies are innovating and building practical AI solutions for the masses. To ensure the longevity of this technology, open standards will be essential in guiding the development of AI tools so that the diverse systems built by various companies can work together seamlessly.\\n\\n\x3c!-- truncate --\x3e\\n\\n\\n### The MCP Open Standard\\n\\nAnthropic is leading the charge with the [Model Context Protocol (MCP)](https://modelcontextprotocol.io), an open standard that enables large language model (LLM) applications to connect with external systems, providing the necessary context for more informed and relevant AI interactions. \\n\\nThis is a game changer for AI agents such as [Goose](https://block.github.io/goose/), which can perform tasks autonomously - a significant leap beyond chatbots that only provide step-by-step instructions. However, to unlock the full potential of these AI agents, we need a standard method for connecting them to external data sources. MCP provides this foundation.\\n\\nWith MCP\'s standardized APIs and endpoints, Goose can integrate seamlessly into your systems, enhancing its ability to perform complex tasks like debugging, writing code, and running commands directly in your environment. \\n\\n![Goose Framework](goose-framework-1.0.png)\\n\\n### What\'s Possible\\n\\nWithout MCP, every [Goose toolkit](https://block.github.io/goose/plugins/using-toolkits.html) developer would need to implement bespoke integrations with every system they need to connect to. Not only is this tedious and repetitive, but it delays the fun stuff.\\n\\nLet\'s take a simple GitHub workflow, for example. Goose interacts directly with the GitHub API using custom scripts or configurations. Developers must configure Goose to authenticate with GitHub and specify endpoints for actions like fetching open pull requests or adding comments. Each integration requires manual setup and custom coding to handle authentication tokens, error handling, and API updates.\\n\\nMCP simplifies the process by providing a standardized interface for accessing GitHub as a resource. Goose, acting as an [MCP client](https://modelcontextprotocol.io/clients), requests the necessary information (e.g., list of open pull requests) from an [MCP server](https://modelcontextprotocol.io/quickstart#general-architecture) configured to expose GitHub\'s capabilities. The MCP server handles authentication and communication with GitHub, abstracting away the complexity of API interactions. Goose can then focus on tasks like providing a detailed review comment or suggesting code changes.\\n\\n### Join the Ecosystem\\n\\nAs MCP adoption expands, so does Goose\u2019s potential to deliver even more powerful solutions for your organization. By [integrating Goose](https://block.github.io/goose/) into your workflows and [embracing MCP](https://modelcontextprotocol.io/introduction), you\u2019re not just enhancing your own systems, you\u2019re contributing to the growth of an ecosystem that makes AI tools more interoperable, efficient, and impactful.\\n\\n\\n\\n\\n \\n Connecting AI Agents to Your Systems with MCP\\n \\n \\n\\n\\n \x3c!-- HTML Meta Tags --\x3e\\n Connecting AI Agents to Your Systems with MCP\\n \\n\\n \x3c!-- Facebook Meta Tags --\x3e\\n \\n \\n \\n \\n \\n\\n \x3c!-- Twitter Meta Tags --\x3e\\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/06/previewing-goose-v10-beta","metadata":{"permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta","source":"@site/blog/2024-12-06-previewing-goose-v10-beta/index.md","title":"Previewing Goose v1.0 Beta","description":"Goose v1.0 Beta is here! Learn about the latest features and improvements.","date":"2024-12-06T00:00:00.000Z","tags":[],"readingTime":2.075,"hasTruncateMarker":true,"authors":[{"name":"Adewale Abati","title":"Staff Developer Advocate","url":"https://adewaleabati.com","page":{"permalink":"/goose/blog/authors/adewale"},"socials":{"x":"https://x.com/ace_kyd","github":"https://github.com/acekyd"},"imageURL":"https://avatars.githubusercontent.com/u/4003538?v=4","key":"adewale"}],"frontMatter":{"draft":false,"title":"Previewing Goose v1.0 Beta","description":"Goose v1.0 Beta is here! Learn about the latest features and improvements.","date":"2024-12-06T00:00:00.000Z","authors":["adewale"]},"unlisted":false,"prevItem":{"title":"Connecting AI Agents to Your Systems with MCP","permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp"},"nextItem":{"title":"Screenshot-Driven Development","permalink":"/goose/blog/2024/11/22/screenshot-driven-development"}},"content":"![Goose v1.0 Beta](goose-v1.0-beta.png)\\nWe are excited to share a preview of the new updates coming to Goose with Goose v1.0 Beta!\\n\\nThis major update comes with a bunch of new features and improvements that make Goose more powerful and user-friendly. Here are some of the key highlights.\\n\\n\x3c!-- truncate --\x3e\\n\\n\\n## Exciting Features of Goose 1.0 Beta\\n\\n### 1. Transition to Rust\\n\\nThe core of Goose has been rewritten in Rust. Why does this matter? Rust allows for a more portable and stable experience. This change means that Goose can run smoothly on different systems without the need for Python to be installed, making it easier for anyone to start using it.\\n\\n### 2. Contextual Memory\\n\\nGoose will remember previous interactions to better understand ongoing projects. This means you won\u2019t have to keep repeating yourself. Imagine having a conversation with someone who remembers every detail\u2014this is the kind of support Goose aims to offer.\\n\\n### 3. Improved Plugin System\\n\\nIn Goose v1.0, the Goose toolkit system is being replaced with Extensions. Extensions are modular daemons that Goose can interact with dynamically. As a result, Goose will be able to support more complex plugins and integrations. This will make it easier to extend Goose with new features and functionality.\\n\\n### 4. Headless mode\\n\\nYou can now run Goose in headless mode - this is useful for running Goose on servers or in environments where a graphical interface is not available.\\n\\n```sh\\ncargo run --bin goose -- run -i instructions.md\\n```\\n\\n### 5. Goose now has a GUI\\n\\nGoose now has an electron-based GUI macOS application that provides and alternative to the CLI to interact with Goose and manage your projects.\\n\\n![Goose GUI](goose-gui.png)\\n\\n### 6. Goose alignment with open protocols\\n\\nGoose v1.0 Beta now uses a custom protocol, that is designed in parallel with [Anthropic\u2019s Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) (MCP) to communicate with Systems. This makes it possible for developers to create their own systems (e.g Jira, ) that Goose can integrate with. \\n\\nExcited for many more feature updates and improvements? Stay tuned for more updates on Goose! Check out the [Goose repo](https://github.com/block/goose) and join our [Discord community](https://discord.gg/block-opensource).\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/11/22/screenshot-driven-development","metadata":{"permalink":"/goose/blog/2024/11/22/screenshot-driven-development","source":"@site/blog/2024-11-22-screenshot-driven-development/index.md","title":"Screenshot-Driven Development","description":"AI Agent uses screenshots to assist in styling.","date":"2024-11-22T00:00:00.000Z","tags":[],"readingTime":4.485,"hasTruncateMarker":true,"authors":[{"name":"Rizel Scarlett","title":"Staff Developer Advocate","page":{"permalink":"/goose/blog/authors/rizel"},"socials":{"x":"https://x.com/blackgirlbytes","github":"https://github.com/blackgirlbytes"},"imageURL":"https://avatars.githubusercontent.com/u/22990146?v=4","key":"rizel"}],"frontMatter":{"draft":false,"title":"Screenshot-Driven Development","description":"AI Agent uses screenshots to assist in styling.","date":"2024-11-22T00:00:00.000Z","authors":["rizel"]},"unlisted":false,"prevItem":{"title":"Previewing Goose v1.0 Beta","permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta"}},"content":"![calendar](screenshot-driven-development.png)\\n\\nI\'m a developer at heart, so when I\'m working on a personal project, the hardest part isn\'t writing code\u2014it\'s making design decisions. I recently built a calendar user interface. I wanted to enhance its visual appeal, so I researched UI design trends like \\"glassmorphism\\" and \\"claymorphism.\\"\\n\\nHowever, I didn\'t want to spend hours implementing the CSS for each design trend, so I developed a faster approach: screenshot-driven development. I used an open source developer agent called [Goose](https://github.com/block/goose) to transform my user interfaces quickly.\\n\\n\x3c!-- truncate --\x3e\\n\\n:::warning Goose Beta Version\\nThis post was written about a beta version of Goose and the commands and flow may have changed.\\n:::\\n\\n### My original calendar:\\n![calendar](screenshot-calendar-og.png)\\n\\n### Goose prototyped the designs below: \\n![Goose prototypes](goose-prototypes-calendar.png)\\n\\nIn this blog post, I\'ll show you how to quickly prototype design styles by letting Goose handle the CSS for you.\\n>\ud83d\udca1 Note: Your results might look different from my examples - that\'s part of the fun of generative AI! Each run can produce unique variations of these design trends.\\n\\n## Get Started with Screenshot-Driven Development\\n\\n### Step 1: Create your UI\\nLet\'s create a basic UI to experiment with. Create an index.html file with the code below:\\n\\n
\\nCreate an index.html file with the code below\\n\\n```html\\n\\n\\n\\n \\n\\n\\n
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\\n
\\n\\n\\n```\\n
\\n\\nOnce saved, open the file in your browser. You should see a calendar!\\n\\n### Step 2: Install Goose\\n\\n```bash\\nbrew install pipx\\npipx ensurepath\\npipx install goose-ai\\n```\\n\\n### Step 3: Start a session\\n\\n```bash\\ngoose session start\\n```\\n\\n#### Bring your own LLM\\n\\n>Goose will prompt you to set up your API key when you first run this command. You can use various LLM providers like OpenAI or Anthropic\\n\\n```bash\\nexport OPENAI_API_KEY=your_api_key\\n# Or for other providers:\\nexport ANTHROPIC_API_KEY=your_api_key\\n```\\n\\n### Step 4: Enable the Screen toolkit\\nGoose uses [toolkits](https://block.github.io/goose/plugins/plugins.html) to extend its capabilities. The [screen](https://block.github.io/goose/plugins/available-toolkits.html#6-screen-toolkit) toolkit lets Goose take and analyze screenshots.\\n\\nTo enable the Screen toolkit, add it to your Goose profile at ~/.config/goose/profiles.yaml.\\n\\n> Your configuration might look slightly different depending on your LLM provider preferences.\\n\\n\\n```yaml\\ndefault:\\n provider: openai\\n processor: gpt-4o\\n accelerator: gpt-4o-mini\\n moderator: truncate\\n toolkits:\\n - name: developer\\n requires: {}\\n - name: screen\\n requires: {}\\n```\\n\\n### Step 5: Prompt Goose to screenshot your UI\\nGoose analyzes your UI through screenshots to understand its structure and elements. In your Gooses session, prompt Goose to take a screenshot by specifying which display your UI is on:\\n\\n```bash\\nTake a screenshot of display(1) \\n```\\n\\n> The display number is required - use display(1) for your main monitor or display(2) for a secondary monitor.\\n\\nUpon success, Goose will run a `screencapture` command and save it as a temporary file.\\n\\n### Step 6: Prompt Goose to transform your UI\\n\\nNow, you can ask Goose to apply different design styles. Here are some of the prompts I gave Goose and the results it produced:\\n\\n#### Glassmorphism\\n\\n```bash\\nApply a glassmorphic effect to my UI\\n```\\n\\n![glassmorphism](glassmorphism-calendar.png)\\n\\n\\n#### Neumorphism\\n\\n```bash\\nApply neumorphic effects to my calendar and the dates\\n```\\n\\n![neumorphism](neumorphism-calendar.png)\\n\\n\\n#### Claymorphism\\n\\n```bash\\nPlease replace with a claymorphic effect\\n```\\n\\n![claymorphism](claymorphism-calendar.png)\\n\\n\\n#### Brutalism\\n\\n```bash\\nApply a brutalist effect please\\n```\\n\\n![brutalism](brutalism-calendar.png)\\n\\n## Learn More\\n\\nDeveloping user interfaces is a blend of creativity and problem-solving. And I love that using Goose gives me more time to focus on creativity rather than wrestling with CSS for hours. \\n\\nBeyond prototyping, Goose\'s ability to analyze screenshots can help developers identify and resolve UI bugs.\\n\\nIf you\'re interested in learning more, check out the [Goose repo](https://github.com/block/goose) and join our [Discord community](https://discord.gg/block-opensource).\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"}]}}')}}]); \ No newline at end of file diff --git a/assets/js/73b92c7e.b7024c3b.js b/assets/js/73b92c7e.b7024c3b.js deleted file mode 100644 index 15f22f0c4..000000000 --- a/assets/js/73b92c7e.b7024c3b.js +++ /dev/null @@ -1 +0,0 @@ -"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[9375],{438:e=>{e.exports=JSON.parse('{"archive":{"blogPosts":[{"id":"/2025/02/17/agentic-ai-mcp","metadata":{"permalink":"/goose/blog/2025/02/17/agentic-ai-mcp","source":"@site/blog/2025-02-17-agentic-ai-mcp/index.md","title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","date":"2025-02-17T00:00:00.000Z","tags":[],"readingTime":6.065,"hasTruncateMarker":true,"authors":[{"name":"Angie Jones","title":"Head of Developer Relations","url":"https://angiejones.tech","page":{"permalink":"/goose/blog/authors/angie"},"socials":{"x":"https://x.com/techgirl1908","github":"https://github.com/techgirl1908"},"imageURL":"https://avatars.githubusercontent.com/u/15972783?v=4","key":"angie"}],"frontMatter":{"title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","authors":["angie"]},"unlisted":false,"nextItem":{"title":"Introducing codename goose","permalink":"/goose/blog/2025/01/28/introducing-codename-goose"}},"content":"![blog banner](agentic-ai-with-mcp.png)\\n\\nIt seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people.\\n\\nAs amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don\'t just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via **AI agents**.\\n\\n\x3c!--truncate--\x3e\\n\\n## What are AI Agents?\\n\\nWhen you interact with chatbots that use AI, like ChatGPT, you can ask it how to do something, and it\'ll provide step-by-step instructions.\\n\\nFor example, if I ran into an error while coding, I could paste the error message into ChatGPT and ask it to help me debug. Because ChatGPT doesn\'t have access to my codebase, it would speculate on the cause of my error and give me a couple of possible solutions to try. I\'d then manually try these proposed solutions and return to inform ChatGPT of the results. We\'d continue this back and forth until the error is resolved or I give up.\\n\\nAI Agents greatly simplify this flow by talking with the LLM on my behalf and taking direct action to fix the problem.\\n\\n> _**An AI agent is a system that operates autonomously to accomplish a goal.**_\\n\\nBecause AI agents are connected to systems, they can analyze a situation, determine the next action, and execute it without much, if any, human intervention. This capability turns them from passive chatbots into automation assistants.\\n\\nBy using an AI agent, I can simply say \\"fix the error\\" and it\'ll have context about what\'s wrong and automatically fix the error for me.\\n\\n## How AI Agents Work with LLMs\\n\\nLLMs (e.g. GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, etc) provide cognitive abilities to AI agents. Most AI agents will have a chat interface themselves where you type your prompt, and the agent will send this prompt to an LLM. At the same time, the agent will also inform the LLM of what **tools** it has access to.\\n\\n### Tool Calling\\n\\nTools are one of the most important aspects of agentic AI. AI agents are able to execute API calls via **tool calling**.\\n\\nLet\'s look at an example:\\n\\n1. A user sends a prompt to their AI agent: _\\"Fix the NullPointerException in my UserService.java file.\\"_\\n\\n2. The agent sends the user request and the list of its available tools to the LLM in a structured format.\\n```\\nUser Request: \\"Fix the NullPointerException in my UserService.java file.\\"\\n\\nAvailable Tools:\\n1. read_file(file_path: str) \u2192 Returns the contents of the specified file.\\n2. analyze_code(file_content: str) \u2192 Identifies potential errors and suggests fixes.\\n3. edit_file(file_path: str, modifications: dict) \u2192 Applies code changes.\\n4. run_tests() \u2192 Executes the test suite and returns results.\\n```\\n\\n3. The LLM analyzes the request and selects the appropriate tools. It determines that it needs to read the file in order to help.\\n```json\\n[\\n {\\n \\"tool\\": \\"read_file\\",\\n \\"parameters\\": { \\"file_path\\": \\"UserService.java\\" }\\n }\\n]\\n```\\n\\n4. The agent executes `read_file()` and sends the code to the LLM.\\n```java\\npublic class UserService {\\n private Database db;\\n\\n public void getUser(String userId) {\\n System.out.println(db.findUserById(userId).getName());\\n }\\n}\\n```\\n\\n5. The LLM recognizes the issue (`db` variable is not initialized) and now selects another tool to fix the issue.\\n```json\\n[\\n {\\n \\"tool\\": \\"edit_file\\",\\n \\"parameters\\": {\\n \\"file_path\\": \\"UserService.java\\",\\n \\"modifications\\": {\\n \\"line_number\\": 3,\\n \\"replacement\\": \\"private Database db = new Database();\\"\\n }\\n }\\n }\\n]\\n```\\n\\n6. The agent executes `edit_file()` to fix `UserService.java` and informs the LLM.\\n\\n7. The LLM determines that it\'s a good idea to run tests to confirm the change.\\n```json\\n[\\n {\\n \\"tool\\": \\"run_tests\\",\\n \\"parameters\\": {}\\n }\\n]\\n```\\n\\n8. The agent executes `run_tests()` and provides the results to the LLM.\\n```json\\n{\\n \\"tests_passed\\": true,\\n \\"failed_tests\\": []\\n}\\n```\\n\\n9. The LLM generates a final message that the agent then presents to the user.\\n```\\nI\u2019ve fixed the NullPointerException in UserService.java by initializing the db variable. All tests have passed. Let me know if you need further modifications!\\n```\\n\\nWithout tool calling, LLMs would only guess answers based on their training data. But by using tools, agents can directly access the data they need to make accurate decisions and take actions.\\n\\nIt\'s worth noting that not all agents are the same when it comes to tool access. Most proprietary agents are tightly scoped to a specific LLM and a predefined set of tools, as companies build agents tailored for their own applications.\\n\\nOther agents, like Goose, are more extensible, allowing users to configure it with the LLM of their choice, as well as add tools for various APIs, databases, and even [local environments like IDEs](/docs/tutorials/jetbrains-mcp). However, for agents to scale across different tools and systems without requiring custom integrations for each one, they need a standardized way to discover, call, and manage tools. This is exactly what the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) provides.\\n\\n## MCP Ecosystem\\n\\nTraditional AI integrations require custom API calls for every system, making scaling difficult. MCP solves this by providing an open, universal protocol for agents to communicate with external systems dynamically.\\n\\nWith MCP, an agent like Goose can:\\n\\n* connect to any API without a developer writing manual integration code\\n* integrate with cloud services, dev tools, databases, and enterprise systems\\n* retrieve and store context to enhance reasoning\\n\\nAt the time of this writing, there are more than [1000 MCP servers](https://www.pulsemcp.com/servers) (systems that expose tools) that any MCP-enabled AI agent like Goose can connect to! These MCP servers act as bridges between agents and external systems, enabling access to APIs, databases, and development environments. Some were developed by the official API providers, while the vast majority were developed by community members. Because MCP is an open standard, anyone can build an MCP server for any resource. This greatly increases the possibilities of AI agents!\\n\\nFor example, let\'s say I want Goose to develop a new web app for me in my WebStorm IDE based on a Figma design and then commit the code to a new repo in GitHub. I can add the following MCP Servers as Goose extensions to give it all of these capabilities:\\n\\n* [Figma](/docs/tutorials/figma-mcp)\\n* [JetBrains](/docs/tutorials/jetbrains-mcp)\\n* [GitHub](/docs/tutorials/github-mcp)\\n\\nWith this, I can prompt my AI agent in natural language and it\'ll take care of the work:\\n\\n> _\\"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp\\"_\\n\\n## Get Started with AI Agents\\nPretty powerful, right?! Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. [Goose](/docs/getting-started/installation) is free and open source and you can add as many [extensions](/docs/getting-started/using-extensions#adding-extensions) as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2025/01/28/introducing-codename-goose","metadata":{"permalink":"/goose/blog/2025/01/28/introducing-codename-goose","source":"@site/blog/2025-01-28-introducing-codename-goose/index.md","title":"Introducing codename goose","description":"codename goose is your open source AI agent, automating engineering tasks and improving productivity.","date":"2025-01-28T00:00:00.000Z","tags":[],"readingTime":2.465,"hasTruncateMarker":true,"authors":[{"name":"Adewale Abati","title":"Staff Developer Advocate","url":"https://adewaleabati.com","page":{"permalink":"/goose/blog/authors/adewale"},"socials":{"x":"https://x.com/ace_kyd","github":"https://github.com/acekyd"},"imageURL":"https://avatars.githubusercontent.com/u/4003538?v=4","key":"adewale"}],"frontMatter":{"title":"Introducing codename goose","description":"codename goose is your open source AI agent, automating engineering tasks and improving productivity.","authors":["adewale"]},"unlisted":false,"prevItem":{"title":"Agentic AI and the MCP Ecosystem","permalink":"/goose/blog/2025/02/17/agentic-ai-mcp"},"nextItem":{"title":"Resolving CI Issues with Goose: A Practical Walkthrough","permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough"}},"content":"![Introducing codename goose](introducing-codename-goose.png)\\n\\nWe are thrilled to announce **codename goose**, your on-machine, open source AI agent built to automate your tasks. \\n\\nPowered by your choice of [large language models (LLMs)](/docs/getting-started/providers), a user-friendly desktop interface and CLI, and [extensions](/docs/getting-started/using-extensions) that integrate with your existing tools and applications, Goose is designed to enhance your productivity and workflow.\\n\\n\x3c!--truncate--\x3e\\n\\n\\nYou can think of Goose as an assistant that is ready to take your instructions, and do the work for you.\\n\\nWhile Goose\'s first use cases are engineering focused, the community has been exploring other non-engineering use cases for Goose as well. And it goes without saying, Goose is [open source](https://github.com/block/goose) \ud83c\udf89.\\n\\n\\n## How Goose Works\\n\\nGoose operates as an intelligent, autonomous agent capable of handling complex tasks through a well-orchestrated coordination of its core features:\\n \\n- **Using Extensions**: [Extensions](/docs/getting-started/using-extensions) are key to Goose\u2019s adaptability, providing you the ability to connect with applications and tools that you already use. Whether it\u2019s connecting to GitHub, accessing Google Drive or integrating with JetBrains IDEs, the possibilities are extensive. Some of these extensions have been curated in the [extensions][extensions-directory] directory. Goose extensions are built on the [Model Context Protocol (MCP)](https://www.anthropic.com/news/model-context-protocol) - enabling you to build or bring your own custom integrations to Goose. \\n\\n- **LLM Providers**: Goose is compatible with a wide range of [LLM providers](/docs/getting-started/providers), allowing you to choose and integrate your preferred model. \\n\\n- **CLI and Desktop Support**: You can run Goose as a desktop app or through the command-line interface (CLI) using the same configurations across both.\\n\\n## Goose in Action\\n\\nGoose is able to handle a wide range of tasks, from simple to complex, across various engineering domains. Here are some examples of tasks that Goose has helped people with:\\n\\n- Conduct code migrations such as Ember to React, Ruby to Kotlin, Prefect-1 to Prefect-2 etc. \\n- Dive into a new project in an unfamiliar coding language\\n- Transition a code-base from field-based injection to constructor-based injection in a dependency injection framework.\\n- Conduct performance benchmarks for a build command using a build automation tool\\n- Increasing code coverage above a specific threshold\\n- Scaffolding an API for data retention\\n- Creating Datadog monitors\\n- Removing or adding feature flags etc.\\n- Generating unit tests for a feature\\n\\n## Getting Started\\n\\nYou can get started using Goose right away! Check out our [Quickstart](/docs/quickstart).\\n\\n\\n## Join the Goose Community\\n\\nExcited for upcoming features and events? Be sure to connect with us!\\n\\n- [GitHub](https://github.com/block/goose)\\n- [Discord](https://discord.gg/block-opensource)\\n- [YouTube](https://www.youtube.com/@blockopensource)\\n- [LinkedIn](https://www.linkedin.com/company/block-opensource)\\n- [X](https://x.com/blockopensource)\\n- [BlueSky](https://bsky.app/profile/opensource.block.xyz)\\n\\n\\n[extensions-directory]: https://block.github.io/goose/v1/extensions\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough","metadata":{"permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough","source":"@site/blog/2024-12-11-resolving-ci-issues-with-goose-a-practical-walkthrough/index.md","title":"Resolving CI Issues with Goose: A Practical Walkthrough","description":"Leverage Goose to simplify your CI debugging process, fetch detailed information about failed CI runs & annotations directly from GitHub, and even apply fixes directly.","date":"2024-12-11T00:00:00.000Z","tags":[],"readingTime":3.985,"hasTruncateMarker":true,"authors":[{"name":"Dalton Turner","title":"Software Engineer","page":{"permalink":"/goose/blog/authors/dalton"},"socials":{"github":"https://github.com/dalton-turner"},"imageURL":"https://avatars.githubusercontent.com/u/78099245?v=4","key":"dalton"}],"frontMatter":{"draft":false,"title":"Resolving CI Issues with Goose: A Practical Walkthrough","description":"Leverage Goose to simplify your CI debugging process, fetch detailed information about failed CI runs & annotations directly from GitHub, and even apply fixes directly.","date":"2024-12-11T00:00:00.000Z","authors":["dalton"]},"unlisted":false,"prevItem":{"title":"Introducing codename goose","permalink":"/goose/blog/2025/01/28/introducing-codename-goose"},"nextItem":{"title":"Connecting AI Agents to Your Systems with MCP","permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp"}},"content":"![CI](goose-github-ci.png)\\n\\nRunning into Continuous Integration (CI) failures in pull requests can be quite frustrating but they happen very often. In this post, we leverage the GitHub CLI (`gh`) using Goose to simplify your CI debugging process, fetch detailed information about failed CI runs and annotations directly from GitHub, and even apply fixes directly.\\n\\n\x3c!-- truncate --\x3e\\n\\n:::warning Goose Beta Version\\nThis post was written about a beta version of Goose and the commands and flow may have changed.\\n:::\\n\\n\\n## Getting Started\\n\\nBefore diving in, ensure you have the necessary tools set up.\\n\\n### 1. Install and Authenticate GitHub CLI (`gh`)\\n\\nYou\'ll need the [GitHub CLI](https://cli.github.com/) `gh` to enable Goose\'s access to CI check run details. \\n\\n```bash\\nbrew install gh\\ngh auth login\\n```\\n\\nFollow the prompts to authenticate your account.\\n\\n\\n### 2. Configure Goose\\nEnsure Goose is configured and ready to interact with your repository and local tools. Specifically, you will need to configure a goose profile with the GitHub toolkit.\\n\\nUpdate your `profiles.yaml` file in `~/.config/goose` with the necessary toolkits:\\n\\n```yaml\\nmy-profile:\\n provider: anthropic\\n processor: claude-3-5-sonnet\\n accelerator: claude-3-5-sonnet\\n moderator: truncate\\n toolkits:\\n - name: developer\\n requires: {}\\n - name: github\\n requires: {}\\n```\\nStart a session with the profile:\\n\\n```bash\\ngoose session start --profile my-profile\\n```\\nIf the profile\u2019s toolkits are not correctly configured, Goose might fail to access `gh` commands.\\n\\n## Resolving CI Failures with Goose\\nOnce everything is set up, we can now use Goose to tackle CI issues with the following steps:\\n\\n### Step 1: Fetch CI Failure Details\\nAsk Goose to retrieve information about the CI failures for a specific PR.\\n\\n**Example Request:**\\n\\n```\\n\\nCan you tell me about the CI failures on PR #11111 in the organization/repo repository? The check run ID is 123456.\\n```\\n\\nYou can access a check run ID by clicking on a PR\u2019s checks tab and selecting a failure. The ID will be available in the URL.\\n\\n**Goose\'s Workflow:**\\n\\nGoose will use the `gh` CLI to check run information and provide a detailed summary of the issues. Goose uses the GitHub CLI to:\\n\\n- Fetch details about failed CI runs, including logs and annotations.\\n- Provide a clear and actionable summary of issues.\\n\\n**Example Command Goose Runs:**\\n\\n```curl\\ngh api -H \\"Accept: application/vnd.github+json\\" /repos///check-runs//annotations\\n```\\n\\n**Example Goose Output:**\\n```mathematica\\nHere are the details for Check Run ID 123456:\\n\\n**Name**: CI-Build-All \\n**Status**: completed \\n**Conclusion**: failure \\n\\n**Annotations Summary:** \\n1. **ModuleA Test Failure** \\n File: `ModuleATests` \\n Line: 35 \\n Error: Mismatched parameter order in function call. \\n\\n2. **ModuleB Test Failure** \\n File: `ModuleBTests` \\n Line: 64 \\n Error: Unexpected nil value encountered during initialization. \\n\\n3. **ModuleC Test Failure** \\n File: `ModuleCTests` \\n Line: 98 \\n Error: Type mismatch in returned value. Expected \'String\', found \'Int\'. \\n```\\n### Step 2: Request Fixes from Goose\\nOnce Goose provides the failure details, ask it to resolve the issues directly.\\n\\nExample Request:\\n\\n```\\nCan you fix these issues and stage the changes so I can review them? Do not add unnecessary code comments.\\n```\\n\\n**What Goose Does:**\\n\\n- Applies fixes based on error messages.\\n- Stages changes for review.\\n\\n\\n**Example Goose Response:**\\n```markdown\\nI have fixed the following files and staged them:\\n\\n- `ModuleATests`: Corrected the order of parameters in the function call. \\n- `ModuleBTests`: Resolved the unexpected nil value encountered during initialization. \\n- `ModuleCTests`: Adjusted the type mismatch in the returned value. \\n\\nYou can now review the staged changes.\\n```\\n\\n\\n### Step 3: Review the Changes\\nCarefully review the staged changes to ensure they address the issues correctly and avoid unintended modifications.\\n\\n**Things to Check:**\\n\\n- No unnecessary comments (e.g., // Fix xyz).\\n- No alterations to unrelated parts of the code.\\n\\n\\nIf needed, clean up or re-stage the changes before committing.\\n\\n## Benefits of Using Goose\\nUsing Goose to resolve CI issues streamlines your workflow by:\\n\\n- identifying issues and applying fixes with minimal manual effort.\\n- integrating with tools like the GitHub CLI to validate changes.\\n- handling repetitive CI debugging tasks while you focus on code quality.\\n\\nGoose allows you to resolve CI failures efficiently, ensuring confidence in your workflow while reducing the effort required for debugging and testing.\\n\\nTry it out, and let Goose handle the heavy lifting of CI debugging for you!\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp","metadata":{"permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp","source":"@site/blog/2024-12-10-connecting-ai-agents-to-your-systems-with-mcp/index.md","title":"Connecting AI Agents to Your Systems with MCP","description":"mcp","date":"2024-12-10T00:00:00.000Z","tags":[],"readingTime":3.315,"hasTruncateMarker":true,"authors":[{"name":"Angie Jones","title":"Head of Developer Relations","url":"https://angiejones.tech","page":{"permalink":"/goose/blog/authors/angie"},"socials":{"x":"https://x.com/techgirl1908","github":"https://github.com/techgirl1908"},"imageURL":"https://avatars.githubusercontent.com/u/15972783?v=4","key":"angie"}],"frontMatter":{"draft":false,"title":"Connecting AI Agents to Your Systems with MCP","date":"2024-12-10T00:00:00.000Z","authors":["angie"]},"unlisted":false,"prevItem":{"title":"Resolving CI Issues with Goose: A Practical Walkthrough","permalink":"/goose/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough"},"nextItem":{"title":"Previewing Goose v1.0 Beta","permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta"}},"content":"![mcp](goose-mcp.png)\\n\\nOpen standards are a critical ingredient for interoperable systems. They have enabled most of the technologies that we all rely on. The ability to connect to the internet no matter where we are relies on open standards such as Wi-Fi, TCP/IP and DNS. When you receive an email in your Gmail account from an Outlook sender, it\'s the use of open standards like SMTP, IMAP, and POP3 that makes this seamless. One of the most transformative technologies of our lifetime - the internet - enables anyone to have their web page accessible to the entire world thanks to the HTTP and HTML standards.\\n\\nWe\'re in the early days of a new era in tech, one where companies are innovating and building practical AI solutions for the masses. To ensure the longevity of this technology, open standards will be essential in guiding the development of AI tools so that the diverse systems built by various companies can work together seamlessly.\\n\\n\x3c!-- truncate --\x3e\\n\\n\\n### The MCP Open Standard\\n\\nAnthropic is leading the charge with the [Model Context Protocol (MCP)](https://modelcontextprotocol.io), an open standard that enables large language model (LLM) applications to connect with external systems, providing the necessary context for more informed and relevant AI interactions. \\n\\nThis is a game changer for AI agents such as [Goose](https://block.github.io/goose/), which can perform tasks autonomously - a significant leap beyond chatbots that only provide step-by-step instructions. However, to unlock the full potential of these AI agents, we need a standard method for connecting them to external data sources. MCP provides this foundation.\\n\\nWith MCP\'s standardized APIs and endpoints, Goose can integrate seamlessly into your systems, enhancing its ability to perform complex tasks like debugging, writing code, and running commands directly in your environment. \\n\\n![Goose Framework](goose-framework-1.0.png)\\n\\n### What\'s Possible\\n\\nWithout MCP, every [Goose toolkit](https://block.github.io/goose/plugins/using-toolkits.html) developer would need to implement bespoke integrations with every system they need to connect to. Not only is this tedious and repetitive, but it delays the fun stuff.\\n\\nLet\'s take a simple GitHub workflow, for example. Goose interacts directly with the GitHub API using custom scripts or configurations. Developers must configure Goose to authenticate with GitHub and specify endpoints for actions like fetching open pull requests or adding comments. Each integration requires manual setup and custom coding to handle authentication tokens, error handling, and API updates.\\n\\nMCP simplifies the process by providing a standardized interface for accessing GitHub as a resource. Goose, acting as an [MCP client](https://modelcontextprotocol.io/clients), requests the necessary information (e.g., list of open pull requests) from an [MCP server](https://modelcontextprotocol.io/quickstart#general-architecture) configured to expose GitHub\'s capabilities. The MCP server handles authentication and communication with GitHub, abstracting away the complexity of API interactions. Goose can then focus on tasks like providing a detailed review comment or suggesting code changes.\\n\\n### Join the Ecosystem\\n\\nAs MCP adoption expands, so does Goose\u2019s potential to deliver even more powerful solutions for your organization. By [integrating Goose](https://block.github.io/goose/) into your workflows and [embracing MCP](https://modelcontextprotocol.io/introduction), you\u2019re not just enhancing your own systems, you\u2019re contributing to the growth of an ecosystem that makes AI tools more interoperable, efficient, and impactful.\\n\\n\\n\\n\\n \\n Connecting AI Agents to Your Systems with MCP\\n \\n \\n\\n\\n \x3c!-- HTML Meta Tags --\x3e\\n Connecting AI Agents to Your Systems with MCP\\n \\n\\n \x3c!-- Facebook Meta Tags --\x3e\\n \\n \\n \\n \\n \\n\\n \x3c!-- Twitter Meta Tags --\x3e\\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/12/06/previewing-goose-v10-beta","metadata":{"permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta","source":"@site/blog/2024-12-06-previewing-goose-v10-beta/index.md","title":"Previewing Goose v1.0 Beta","description":"Goose v1.0 Beta is here! Learn about the latest features and improvements.","date":"2024-12-06T00:00:00.000Z","tags":[],"readingTime":2.075,"hasTruncateMarker":true,"authors":[{"name":"Adewale Abati","title":"Staff Developer Advocate","url":"https://adewaleabati.com","page":{"permalink":"/goose/blog/authors/adewale"},"socials":{"x":"https://x.com/ace_kyd","github":"https://github.com/acekyd"},"imageURL":"https://avatars.githubusercontent.com/u/4003538?v=4","key":"adewale"}],"frontMatter":{"draft":false,"title":"Previewing Goose v1.0 Beta","description":"Goose v1.0 Beta is here! Learn about the latest features and improvements.","date":"2024-12-06T00:00:00.000Z","authors":["adewale"]},"unlisted":false,"prevItem":{"title":"Connecting AI Agents to Your Systems with MCP","permalink":"/goose/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp"},"nextItem":{"title":"Screenshot-Driven Development","permalink":"/goose/blog/2024/11/22/screenshot-driven-development"}},"content":"![Goose v1.0 Beta](goose-v1.0-beta.png)\\nWe are excited to share a preview of the new updates coming to Goose with Goose v1.0 Beta!\\n\\nThis major update comes with a bunch of new features and improvements that make Goose more powerful and user-friendly. Here are some of the key highlights.\\n\\n\x3c!-- truncate --\x3e\\n\\n\\n## Exciting Features of Goose 1.0 Beta\\n\\n### 1. Transition to Rust\\n\\nThe core of Goose has been rewritten in Rust. Why does this matter? Rust allows for a more portable and stable experience. This change means that Goose can run smoothly on different systems without the need for Python to be installed, making it easier for anyone to start using it.\\n\\n### 2. Contextual Memory\\n\\nGoose will remember previous interactions to better understand ongoing projects. This means you won\u2019t have to keep repeating yourself. Imagine having a conversation with someone who remembers every detail\u2014this is the kind of support Goose aims to offer.\\n\\n### 3. Improved Plugin System\\n\\nIn Goose v1.0, the Goose toolkit system is being replaced with Extensions. Extensions are modular daemons that Goose can interact with dynamically. As a result, Goose will be able to support more complex plugins and integrations. This will make it easier to extend Goose with new features and functionality.\\n\\n### 4. Headless mode\\n\\nYou can now run Goose in headless mode - this is useful for running Goose on servers or in environments where a graphical interface is not available.\\n\\n```sh\\ncargo run --bin goose -- run -i instructions.md\\n```\\n\\n### 5. Goose now has a GUI\\n\\nGoose now has an electron-based GUI macOS application that provides and alternative to the CLI to interact with Goose and manage your projects.\\n\\n![Goose GUI](goose-gui.png)\\n\\n### 6. Goose alignment with open protocols\\n\\nGoose v1.0 Beta now uses a custom protocol, that is designed in parallel with [Anthropic\u2019s Model Context Protocol](https://www.anthropic.com/news/model-context-protocol) (MCP) to communicate with Systems. This makes it possible for developers to create their own systems (e.g Jira, ) that Goose can integrate with. \\n\\nExcited for many more feature updates and improvements? Stay tuned for more updates on Goose! Check out the [Goose repo](https://github.com/block/goose) and join our [Discord community](https://discord.gg/block-opensource).\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"},{"id":"/2024/11/22/screenshot-driven-development","metadata":{"permalink":"/goose/blog/2024/11/22/screenshot-driven-development","source":"@site/blog/2024-11-22-screenshot-driven-development/index.md","title":"Screenshot-Driven Development","description":"AI Agent uses screenshots to assist in styling.","date":"2024-11-22T00:00:00.000Z","tags":[],"readingTime":4.485,"hasTruncateMarker":true,"authors":[{"name":"Rizel Scarlett","title":"Staff Developer Advocate","page":{"permalink":"/goose/blog/authors/rizel"},"socials":{"x":"https://x.com/blackgirlbytes","github":"https://github.com/blackgirlbytes"},"imageURL":"https://avatars.githubusercontent.com/u/22990146?v=4","key":"rizel"}],"frontMatter":{"draft":false,"title":"Screenshot-Driven Development","description":"AI Agent uses screenshots to assist in styling.","date":"2024-11-22T00:00:00.000Z","authors":["rizel"]},"unlisted":false,"prevItem":{"title":"Previewing Goose v1.0 Beta","permalink":"/goose/blog/2024/12/06/previewing-goose-v10-beta"}},"content":"![calendar](screenshot-driven-development.png)\\n\\nI\'m a developer at heart, so when I\'m working on a personal project, the hardest part isn\'t writing code\u2014it\'s making design decisions. I recently built a calendar user interface. I wanted to enhance its visual appeal, so I researched UI design trends like \\"glassmorphism\\" and \\"claymorphism.\\"\\n\\nHowever, I didn\'t want to spend hours implementing the CSS for each design trend, so I developed a faster approach: screenshot-driven development. I used an open source developer agent called [Goose](https://github.com/block/goose) to transform my user interfaces quickly.\\n\\n\x3c!-- truncate --\x3e\\n\\n:::warning Goose Beta Version\\nThis post was written about a beta version of Goose and the commands and flow may have changed.\\n:::\\n\\n### My original calendar:\\n![calendar](screenshot-calendar-og.png)\\n\\n### Goose prototyped the designs below: \\n![Goose prototypes](goose-prototypes-calendar.png)\\n\\nIn this blog post, I\'ll show you how to quickly prototype design styles by letting Goose handle the CSS for you.\\n>\ud83d\udca1 Note: Your results might look different from my examples - that\'s part of the fun of generative AI! Each run can produce unique variations of these design trends.\\n\\n## Get Started with Screenshot-Driven Development\\n\\n### Step 1: Create your UI\\nLet\'s create a basic UI to experiment with. Create an index.html file with the code below:\\n\\n
\\nCreate an index.html file with the code below\\n\\n```html\\n\\n\\n\\n \\n\\n\\n
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\\n\\n\\n```\\n
\\n\\nOnce saved, open the file in your browser. You should see a calendar!\\n\\n### Step 2: Install Goose\\n\\n```bash\\nbrew install pipx\\npipx ensurepath\\npipx install goose-ai\\n```\\n\\n### Step 3: Start a session\\n\\n```bash\\ngoose session start\\n```\\n\\n#### Bring your own LLM\\n\\n>Goose will prompt you to set up your API key when you first run this command. You can use various LLM providers like OpenAI or Anthropic\\n\\n```bash\\nexport OPENAI_API_KEY=your_api_key\\n# Or for other providers:\\nexport ANTHROPIC_API_KEY=your_api_key\\n```\\n\\n### Step 4: Enable the Screen toolkit\\nGoose uses [toolkits](https://block.github.io/goose/plugins/plugins.html) to extend its capabilities. The [screen](https://block.github.io/goose/plugins/available-toolkits.html#6-screen-toolkit) toolkit lets Goose take and analyze screenshots.\\n\\nTo enable the Screen toolkit, add it to your Goose profile at ~/.config/goose/profiles.yaml.\\n\\n> Your configuration might look slightly different depending on your LLM provider preferences.\\n\\n\\n```yaml\\ndefault:\\n provider: openai\\n processor: gpt-4o\\n accelerator: gpt-4o-mini\\n moderator: truncate\\n toolkits:\\n - name: developer\\n requires: {}\\n - name: screen\\n requires: {}\\n```\\n\\n### Step 5: Prompt Goose to screenshot your UI\\nGoose analyzes your UI through screenshots to understand its structure and elements. In your Gooses session, prompt Goose to take a screenshot by specifying which display your UI is on:\\n\\n```bash\\nTake a screenshot of display(1) \\n```\\n\\n> The display number is required - use display(1) for your main monitor or display(2) for a secondary monitor.\\n\\nUpon success, Goose will run a `screencapture` command and save it as a temporary file.\\n\\n### Step 6: Prompt Goose to transform your UI\\n\\nNow, you can ask Goose to apply different design styles. Here are some of the prompts I gave Goose and the results it produced:\\n\\n#### Glassmorphism\\n\\n```bash\\nApply a glassmorphic effect to my UI\\n```\\n\\n![glassmorphism](glassmorphism-calendar.png)\\n\\n\\n#### Neumorphism\\n\\n```bash\\nApply neumorphic effects to my calendar and the dates\\n```\\n\\n![neumorphism](neumorphism-calendar.png)\\n\\n\\n#### Claymorphism\\n\\n```bash\\nPlease replace with a claymorphic effect\\n```\\n\\n![claymorphism](claymorphism-calendar.png)\\n\\n\\n#### Brutalism\\n\\n```bash\\nApply a brutalist effect please\\n```\\n\\n![brutalism](brutalism-calendar.png)\\n\\n## Learn More\\n\\nDeveloping user interfaces is a blend of creativity and problem-solving. And I love that using Goose gives me more time to focus on creativity rather than wrestling with CSS for hours. \\n\\nBeyond prototyping, Goose\'s ability to analyze screenshots can help developers identify and resolve UI bugs.\\n\\nIf you\'re interested in learning more, check out the [Goose repo](https://github.com/block/goose) and join our [Discord community](https://discord.gg/block-opensource).\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n"}]}}')}}]); \ No newline at end of file diff --git a/assets/js/97c73ffb.63ec864f.js b/assets/js/97c73ffb.63ec864f.js new file mode 100644 index 000000000..392af02d6 --- /dev/null +++ b/assets/js/97c73ffb.63ec864f.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[6950],{6614:(e,n,r)=>{r.r(n),r.d(n,{assets:()=>c,contentTitle:()=>a,default:()=>p,frontMatter:()=>d,metadata:()=>o,toc:()=>h});const o=JSON.parse('{"id":"getting-started/providers","title":"Configure LLM Provider","description":"Goose is compatible with a wide range of LLM providers, allowing you to choose and integrate your preferred model.","source":"@site/docs/getting-started/providers.md","sourceDirName":"getting-started","slug":"/getting-started/providers","permalink":"/goose/docs/getting-started/providers","draft":false,"unlisted":false,"tags":[],"version":"current","sidebarPosition":2,"frontMatter":{"sidebar_position":2,"title":"Configure LLM Provider"},"sidebar":"tutorialSidebar","previous":{"title":"Install Goose","permalink":"/goose/docs/getting-started/installation"},"next":{"title":"Using Extensions","permalink":"/goose/docs/getting-started/using-extensions"}}');var i=r(4848),s=r(8453),l=r(5537),t=r(9329);const d={sidebar_position:2,title:"Configure LLM Provider"},a="Supported LLM Providers",c={},h=[{value:"Available Providers",id:"available-providers",level:2},{value:"Configure Provider",id:"configure-provider",level:2},{value:"Using Custom OpenAI Endpoints",id:"using-custom-openai-endpoints",level:2},{value:"Configuration Parameters",id:"configuration-parameters",level:3},{value:"Example Configurations",id:"example-configurations",level:3},{value:"Setup Instructions",id:"setup-instructions",level:3},{value:"Using Goose for Free",id:"using-goose-for-free",level:2},{value:"Google Gemini",id:"google-gemini",level:3},{value:"Local LLMs (Ollama)",id:"local-llms-ollama",level:3},{value:"DeepSeek-R1",id:"deepseek-r1",level:3}];function u(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",hr:"hr",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.header,{children:(0,i.jsx)(n.h1,{id:"supported-llm-providers",children:"Supported LLM Providers"})}),"\n",(0,i.jsx)(n.p,{children:"Goose is compatible with a wide range of LLM providers, allowing you to choose and integrate your preferred model."}),"\n",(0,i.jsx)(n.admonition,{title:"Model Selection",type:"tip",children:(0,i.jsxs)(n.p,{children:["Goose relies heavily on tool calling capabilities and currently works best with Anthropic's Claude 3.5 Sonnet and OpenAI's GPT-4o (2024-11-20) model.\n",(0,i.jsx)(n.a,{href:"https://gorilla.cs.berkeley.edu/leaderboard.html",children:"Berkeley Function-Calling Leaderboard"})," can be a good guide for selecting models."]})}),"\n",(0,i.jsx)(n.h2,{id:"available-providers",children:"Available Providers"}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Provider"}),(0,i.jsx)(n.th,{children:"Description"}),(0,i.jsx)(n.th,{children:"Parameters"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://aws.amazon.com/bedrock/",children:"Amazon Bedrock"})}),(0,i.jsxs)(n.td,{children:["Offers a variety of foundation models, including Claude, Jurassic-2, and others. ",(0,i.jsxs)(n.strong,{children:["Environment variables must be set in advance, not configured through ",(0,i.jsx)(n.code,{children:"goose configure"})]})]}),(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"AWS_ACCESS_KEY_ID"}),", ",(0,i.jsx)(n.code,{children:"AWS_SECRET_ACCESS_KEY"}),", ",(0,i.jsx)(n.code,{children:"AWS_REGION"})]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://www.anthropic.com/",children:"Anthropic"})}),(0,i.jsx)(n.td,{children:"Offers Claude, an advanced AI model for natural language tasks."}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"ANTHROPIC_API_KEY"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/azure/ai-services/openai/",children:"Azure OpenAI"})}),(0,i.jsx)(n.td,{children:"Access Azure-hosted OpenAI models, including GPT-4 and GPT-3.5."}),(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"AZURE_OPENAI_API_KEY"}),", ",(0,i.jsx)(n.code,{children:"AZURE_OPENAI_ENDPOINT"}),", ",(0,i.jsx)(n.code,{children:"AZURE_OPENAI_DEPLOYMENT_NAME"})]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://www.databricks.com/",children:"Databricks"})}),(0,i.jsx)(n.td,{children:"Unified data analytics and AI platform for building and deploying models."}),(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"DATABRICKS_HOST"}),", ",(0,i.jsx)(n.code,{children:"DATABRICKS_TOKEN"})]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://ai.google.dev/gemini-api/docs",children:"Gemini"})}),(0,i.jsx)(n.td,{children:"Advanced LLMs by Google with multimodal capabilities (text, images)."}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"GOOGLE_API_KEY"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://groq.com/",children:"Groq"})}),(0,i.jsx)(n.td,{children:"High-performance inference hardware and tools for LLMs."}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"GROQ_API_KEY"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://ollama.com/",children:"Ollama"})}),(0,i.jsxs)(n.td,{children:["Local model runner supporting Qwen, Llama, DeepSeek, and other open-source models. ",(0,i.jsxs)(n.strong,{children:["Because this provider runs locally, you must first ",(0,i.jsx)(n.a,{href:"/docs/getting-started/providers#local-llms-ollama",children:"download and run a model"}),"."]})]}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OLLAMA_HOST"})})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI"})}),(0,i.jsxs)(n.td,{children:["Provides gpt-4o, o1, and other advanced language models. Also supports OpenAI-compatible endpoints (e.g., self-hosted LLaMA, vLLM, KServe). ",(0,i.jsx)(n.strong,{children:"o1-mini and o1-preview are not supported because Goose uses tool calling."})]}),(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"OPENAI_API_KEY"}),", ",(0,i.jsx)(n.code,{children:"OPENAI_HOST"})," (optional), ",(0,i.jsx)(n.code,{children:"OPENAI_ORGANIZATION"})," (optional), ",(0,i.jsx)(n.code,{children:"OPENAI_PROJECT"})," (optional)"]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.a,{href:"https://openrouter.ai/",children:"OpenRouter"})}),(0,i.jsx)(n.td,{children:"API gateway for unified access to various models with features like rate-limiting management."}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENROUTER_API_KEY"})})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"configure-provider",children:"Configure Provider"}),"\n",(0,i.jsxs)(n.p,{children:["To configure your chosen provider or see available options, run ",(0,i.jsx)(n.code,{children:"goose configure"})," in the CLI or visit the ",(0,i.jsx)(n.code,{children:"Provider Settings"})," page in the Goose Desktop."]}),"\n",(0,i.jsxs)(l.A,{groupId:"interface",children:[(0,i.jsxs)(t.A,{value:"cli",label:"Goose CLI",default:!0,children:[(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Run the following command:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),(0,i.jsxs)(n.ol,{start:"2",children:["\n",(0,i.jsxs)(n.li,{children:["Select ",(0,i.jsx)(n.code,{children:"Configure Providers"})," from the menu and press Enter."]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c6 What would you like to configure?\n\u2502 \u25cf Configure Providers (Change provider or update credentials)\n\u2502 \u25cb Toggle Extensions \n\u2502 \u25cb Add Extension \n\u2514 \n"})}),(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"Choose a model provider and press Enter."}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c6 Which model provider should we use?\n\u2502 \u25cf Anthropic (Claude and other models from Anthropic)\n\u2502 \u25cb Databricks \n\u2502 \u25cb Google Gemini \n\u2502 \u25cb Groq \n\u2502 \u25cb Ollama \n\u2502 \u25cb OpenAI \n\u2502 \u25cb OpenRouter \n\u2514 \n"})}),(0,i.jsxs)(n.ol,{start:"4",children:["\n",(0,i.jsx)(n.li,{children:"Enter your API key (and any other configuration details) when prompted"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Anthropic \n\u2502\n\u25c6 Provider Anthropic requires ANTHROPIC_API_KEY, please enter a value\n\u2502 \n\u2514 \n"})})]}),(0,i.jsxs)(t.A,{value:"ui",label:"Goose Desktop",children:[(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"To update your LLM provider and API key:"})}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"..."})," in the upper right corner"]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"Settings"})]}),"\n",(0,i.jsxs)(n.li,{children:["Next to ",(0,i.jsx)(n.code,{children:"Models"}),", click the ",(0,i.jsx)(n.code,{children:"browse"})," link"]}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.code,{children:"configure"})," link in the upper right corner"]}),"\n",(0,i.jsxs)(n.li,{children:["Press the ",(0,i.jsx)(n.code,{children:"+"})," button next to the provider of your choice"]}),"\n",(0,i.jsxs)(n.li,{children:["Add additional configurations (API key, host, etc) then press ",(0,i.jsx)(n.code,{children:"submit"})]}),"\n"]}),(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"To add/change provider model"})}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"..."})," in the upper right corner"]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"Settings"})]}),"\n",(0,i.jsxs)(n.li,{children:["Next to ",(0,i.jsx)(n.code,{children:"Models"}),", click the ",(0,i.jsx)(n.code,{children:"browse"})," link"]}),"\n",(0,i.jsxs)(n.li,{children:["Scroll down to ",(0,i.jsx)(n.code,{children:"Add Model"})]}),"\n",(0,i.jsx)(n.li,{children:"Select a Provider from drop down menu"}),"\n",(0,i.jsxs)(n.li,{children:["Enter Model name and press ",(0,i.jsx)(n.code,{children:"+ Add Model"})]}),"\n"]}),(0,i.jsxs)(n.p,{children:["You can explore more models by selecting a ",(0,i.jsx)(n.code,{children:"provider"})," name under ",(0,i.jsx)(n.code,{children:"Browse by Provider"}),". A link will appear, directing you to the provider's website. Once you've found the model you want, return to step 6 and paste the model name."]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"using-custom-openai-endpoints",children:"Using Custom OpenAI Endpoints"}),"\n",(0,i.jsx)(n.p,{children:"Goose supports using custom OpenAI-compatible endpoints, which is particularly useful for:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Self-hosted LLMs (e.g., LLaMA, Mistral) using vLLM or KServe"}),"\n",(0,i.jsx)(n.li,{children:"Private OpenAI-compatible API servers"}),"\n",(0,i.jsx)(n.li,{children:"Enterprise deployments requiring data governance and security compliance"}),"\n",(0,i.jsx)(n.li,{children:"OpenAI API proxies or gateways"}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"configuration-parameters",children:"Configuration Parameters"}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Parameter"}),(0,i.jsx)(n.th,{children:"Required"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_API_KEY"})}),(0,i.jsx)(n.td,{children:"Yes"}),(0,i.jsx)(n.td,{children:"Authentication key for the API"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_HOST"})}),(0,i.jsx)(n.td,{children:"No"}),(0,i.jsx)(n.td,{children:"Custom endpoint URL (defaults to api.openai.com)"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_ORGANIZATION"})}),(0,i.jsx)(n.td,{children:"No"}),(0,i.jsx)(n.td,{children:"Organization ID for usage tracking and governance"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_PROJECT"})}),(0,i.jsx)(n.td,{children:"No"}),(0,i.jsx)(n.td,{children:"Project identifier for resource management"})]})]})]}),"\n",(0,i.jsx)(n.h3,{id:"example-configurations",children:"Example Configurations"}),"\n",(0,i.jsxs)(l.A,{groupId:"deployment",children:[(0,i.jsxs)(t.A,{value:"vllm",label:"vLLM Self-Hosted",default:!0,children:[(0,i.jsx)(n.p,{children:"If you're running LLaMA or other models using vLLM with OpenAI compatibility:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"OPENAI_HOST=https://your-vllm-endpoint.internal\nOPENAI_API_KEY=your-internal-api-key\n"})})]}),(0,i.jsxs)(t.A,{value:"kserve",label:"KServe Deployment",children:[(0,i.jsx)(n.p,{children:"For models deployed on Kubernetes using KServe:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"OPENAI_HOST=https://kserve-gateway.your-cluster\nOPENAI_API_KEY=your-kserve-api-key\nOPENAI_ORGANIZATION=your-org-id\nOPENAI_PROJECT=ml-serving\n"})})]}),(0,i.jsxs)(t.A,{value:"enterprise",label:"Enterprise OpenAI",children:[(0,i.jsx)(n.p,{children:"For enterprise OpenAI deployments with governance:"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"OPENAI_API_KEY=your-api-key\nOPENAI_ORGANIZATION=org-id123\nOPENAI_PROJECT=compliance-approved\n"})})]})]}),"\n",(0,i.jsx)(n.h3,{id:"setup-instructions",children:"Setup Instructions"}),"\n",(0,i.jsxs)(l.A,{groupId:"interface",children:[(0,i.jsx)(t.A,{value:"cli",label:"Goose CLI",default:!0,children:(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Run ",(0,i.jsx)(n.code,{children:"goose configure"})]}),"\n",(0,i.jsxs)(n.li,{children:["Select ",(0,i.jsx)(n.code,{children:"Configure Providers"})]}),"\n",(0,i.jsxs)(n.li,{children:["Choose ",(0,i.jsx)(n.code,{children:"OpenAI"})," as the provider"]}),"\n",(0,i.jsxs)(n.li,{children:["Enter your configuration when prompted:","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"API key"}),"\n",(0,i.jsx)(n.li,{children:"Host URL (if using custom endpoint)"}),"\n",(0,i.jsx)(n.li,{children:"Organization ID (if using organization tracking)"}),"\n",(0,i.jsx)(n.li,{children:"Project identifier (if using project management)"}),"\n"]}),"\n"]}),"\n"]})}),(0,i.jsx)(t.A,{value:"ui",label:"Goose Desktop",children:(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"..."})," in the upper right corner"]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"Settings"})]}),"\n",(0,i.jsxs)(n.li,{children:["Next to ",(0,i.jsx)(n.code,{children:"Models"}),", click the ",(0,i.jsx)(n.code,{children:"browse"})," link"]}),"\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.code,{children:"configure"})," link in the upper right corner"]}),"\n",(0,i.jsxs)(n.li,{children:["Press the ",(0,i.jsx)(n.code,{children:"+"})," button next to OpenAI"]}),"\n",(0,i.jsxs)(n.li,{children:["Fill in your configuration details:","\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"API Key (required)"}),"\n",(0,i.jsx)(n.li,{children:"Host URL (for custom endpoints)"}),"\n",(0,i.jsx)(n.li,{children:"Organization ID (for usage tracking)"}),"\n",(0,i.jsx)(n.li,{children:"Project (for resource management)"}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["Press ",(0,i.jsx)(n.code,{children:"submit"})]}),"\n"]})})]}),"\n",(0,i.jsx)(n.admonition,{title:"Enterprise Deployment",type:"tip",children:(0,i.jsx)(n.p,{children:"For enterprise deployments, you can pre-configure these values using environment variables or configuration files to ensure consistent governance across your organization."})}),"\n",(0,i.jsx)(n.h2,{id:"using-goose-for-free",children:"Using Goose for Free"}),"\n",(0,i.jsxs)(n.p,{children:["Goose is a free and open source AI agent that you can start using right away, but not all supported ",(0,i.jsx)(n.a,{href:"/docs/getting-started/providers",children:"LLM Providers"})," provide a free tier."]}),"\n",(0,i.jsx)(n.p,{children:"Below, we outline a couple of free options and how to get started with them."}),"\n",(0,i.jsx)(n.admonition,{title:"Limitations",type:"warning",children:(0,i.jsx)(n.p,{children:"These free options are a great way to get started with Goose and explore its capabilities. However, you may need to upgrade your LLM for better performance."})}),"\n",(0,i.jsx)(n.h3,{id:"google-gemini",children:"Google Gemini"}),"\n",(0,i.jsxs)(n.p,{children:["Google Gemini provides a free tier. To start using the Gemini API with Goose, you need an API Key from ",(0,i.jsx)(n.a,{href:"https://aistudio.google.com/app/apikey",children:"Google AI studio"}),"."]}),"\n",(0,i.jsx)(n.p,{children:"To set up Google Gemini with Goose, follow these steps:"}),"\n",(0,i.jsxs)(l.A,{groupId:"interface",children:[(0,i.jsxs)(t.A,{value:"cli",label:"Goose CLI",default:!0,children:[(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Run:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),(0,i.jsxs)(n.ol,{start:"2",children:["\n",(0,i.jsxs)(n.li,{children:["Select ",(0,i.jsx)(n.code,{children:"Configure Providers"})," from the menu."]}),"\n",(0,i.jsxs)(n.li,{children:["Follow the prompts to choose ",(0,i.jsx)(n.code,{children:"Google Gemini"})," as the provider."]}),"\n",(0,i.jsx)(n.li,{children:"Enter your API key when prompted."}),"\n",(0,i.jsx)(n.li,{children:"Enter the Gemini model of your choice."}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure\n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers\n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Google Gemini\n\u2502\n\u25c7 Provider Google Gemini requires GOOGLE_API_KEY, please enter a value\n\u2502\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\n\u2502 \n\u25c7 Enter a model from that provider:\n\u2502 gemini-2.0-flash-exp\n\u2502\n\u25c7 Hello! You're all set and ready to go, feel free to ask me anything!\n\u2502\n\u2514 Configuration saved successfully\n"})})]}),(0,i.jsxs)(t.A,{value:"ui",label:"Goose Desktop",children:[(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"To update your LLM provider and API key:"})}),(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Click on the three dots in the top-right corner."}),"\n",(0,i.jsxs)(n.li,{children:["Select ",(0,i.jsx)(n.code,{children:"Provider Settings"})," from the menu."]}),"\n",(0,i.jsxs)(n.li,{children:["Choose ",(0,i.jsx)(n.code,{children:"Google Gemini"})," as provider from the list."]}),"\n",(0,i.jsxs)(n.li,{children:["Click Edit, enter your API key, and click ",(0,i.jsx)(n.code,{children:"Set as Active"}),"."]}),"\n"]})]})]}),"\n",(0,i.jsx)(n.h3,{id:"local-llms-ollama",children:"Local LLMs (Ollama)"}),"\n",(0,i.jsx)(n.p,{children:"Ollama provides local LLMs, which requires a bit more set up before you can use it with Goose."}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.a,{href:"https://ollama.com/download",children:"Download Ollama"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["Run any ",(0,i.jsx)(n.a,{href:"https://ollama.com/search?c=tools",children:"model supporting tool-calling"}),":"]}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{title:"Limited Support for models without tool calling",type:"warning",children:(0,i.jsxs)(n.p,{children:["Goose extensively uses tool calling, so models without it (e.g. ",(0,i.jsx)(n.code,{children:"DeepSeek-r1"}),") can only do chat completion. If using models without tool calling, all Goose ",(0,i.jsx)(n.a,{href:"/docs/getting-started/using-extensions#enablingdisabling-extensions",children:"extensions must be disabled"}),". As an alternative, you can use a ",(0,i.jsx)(n.a,{href:"/docs/getting-started/providers#deepseek-r1",children:"custom DeepSeek-r1 model"})," we've made specifically for Goose."]})}),"\n",(0,i.jsx)(n.p,{children:"Example:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"ollama run qwen2.5\n"})}),"\n",(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"In a separate terminal window, configure with Goose:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),"\n",(0,i.jsxs)(n.ol,{start:"4",children:["\n",(0,i.jsxs)(n.li,{children:["Choose to ",(0,i.jsx)(n.code,{children:"Configure Providers"})]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c6 What would you like to configure?\n\u2502 \u25cf Configure Providers (Change provider or update credentials)\n\u2502 \u25cb Toggle Extensions \n\u2502 \u25cb Add Extension \n\u2514 \n"})}),"\n",(0,i.jsxs)(n.ol,{start:"5",children:["\n",(0,i.jsxs)(n.li,{children:["Choose ",(0,i.jsx)(n.code,{children:"Ollama"})," as the model provider"]}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c6 Which model provider should we use?\n\u2502 \u25cb Anthropic \n\u2502 \u25cb Databricks \n\u2502 \u25cb Google Gemini \n\u2502 \u25cb Groq \n\u2502 \u25cf Ollama (Local open source models)\n\u2502 \u25cb OpenAI \n\u2502 \u25cb OpenRouter \n\u2514 \n"})}),"\n",(0,i.jsxs)(n.ol,{start:"5",children:["\n",(0,i.jsx)(n.li,{children:"Enter the host where your model is running"}),"\n"]}),"\n",(0,i.jsx)(n.admonition,{title:"Endpoint",type:"info",children:(0,i.jsxs)(n.p,{children:["For Ollama, if you don't provide a host, we set it to ",(0,i.jsx)(n.code,{children:"localhost:11434"}),". When constructing the URL, we preprend ",(0,i.jsx)(n.code,{children:"http://"})," if the scheme is not ",(0,i.jsx)(n.code,{children:"http"})," or ",(0,i.jsx)(n.code,{children:"https"}),". If you're running Ollama on port 80 or 443, you'll have to set ",(0,i.jsx)(n.code,{children:"OLLMA_HOST=http://host:{port}"})]})}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Ollama \n\u2502\n\u25c6 Provider Ollama requires OLLAMA_HOST, please enter a value\n\u2502 http://localhost:11434\n\u2514\n"})}),"\n",(0,i.jsxs)(n.ol,{start:"6",children:["\n",(0,i.jsx)(n.li,{children:"Enter the model you have running"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Ollama \n\u2502\n\u25c7 Provider Ollama requires OLLAMA_HOST, please enter a value\n\u2502 http://localhost:11434\n\u2502\n\u25c7 Enter a model from that provider:\n\u2502 qwen2.5\n\u2502\n\u25c7 Welcome! You're all set to explore and utilize my capabilities. Let's get started on solving your problems together!\n\u2502\n\u2514 Configuration saved successfully\n"})}),"\n",(0,i.jsx)(n.h3,{id:"deepseek-r1",children:"DeepSeek-R1"}),"\n",(0,i.jsxs)(n.p,{children:["Ollama provides open source LLMs, such as ",(0,i.jsx)(n.code,{children:"DeepSeek-r1"}),", that you can install and run locally.\nNote that the native ",(0,i.jsx)(n.code,{children:"DeepSeek-r1"})," model doesn't support tool calling, however, we have a ",(0,i.jsx)(n.a,{href:"https://ollama.com/michaelneale/deepseek-r1-goose",children:"custom model"})," you can use with Goose."]}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"Note that this is a 70B model size and requires a powerful device to run smoothly."})}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Download and install Ollama from ",(0,i.jsx)(n.a,{href:"https://ollama.com/download",children:"ollama.com"}),"."]}),"\n",(0,i.jsx)(n.li,{children:"In a terminal window, run the following command to install the custom DeepSeek-r1 model:"}),"\n"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"ollama run michaelneale/deepseek-r1-goose\n"})}),"\n",(0,i.jsxs)(l.A,{groupId:"interface",children:[(0,i.jsxs)(t.A,{value:"cli",label:"Goose CLI",default:!0,children:[(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsx)(n.li,{children:"In a separate terminal window, configure with Goose:"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),(0,i.jsxs)(n.ol,{start:"4",children:["\n",(0,i.jsxs)(n.li,{children:["Choose to ",(0,i.jsx)(n.code,{children:"Configure Providers"})]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c6 What would you like to configure?\n\u2502 \u25cf Configure Providers (Change provider or update credentials)\n\u2502 \u25cb Toggle Extensions \n\u2502 \u25cb Add Extension \n\u2514 \n"})}),(0,i.jsxs)(n.ol,{start:"5",children:["\n",(0,i.jsxs)(n.li,{children:["Choose ",(0,i.jsx)(n.code,{children:"Ollama"})," as the model provider"]}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c6 Which model provider should we use?\n\u2502 \u25cb Anthropic \n\u2502 \u25cb Databricks \n\u2502 \u25cb Google Gemini \n\u2502 \u25cb Groq \n\u2502 \u25cf Ollama (Local open source models)\n\u2502 \u25cb OpenAI \n\u2502 \u25cb OpenRouter \n\u2514 \n"})}),(0,i.jsxs)(n.ol,{start:"5",children:["\n",(0,i.jsx)(n.li,{children:"Enter the host where your model is running"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Ollama \n\u2502\n\u25c6 Provider Ollama requires OLLAMA_HOST, please enter a value\n\u2502 http://localhost:11434\n\u2514\n"})}),(0,i.jsxs)(n.ol,{start:"6",children:["\n",(0,i.jsx)(n.li,{children:"Enter the installed model from above"}),"\n"]}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{children:"\u250c goose-configure \n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers \n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Ollama \n\u2502\n\u25c7 Provider Ollama requires OLLAMA_HOST, please enter a value\n\u2502 http://localhost:11434 \n\u2502 \n\u25c7 Enter a model from that provider:\n\u2502 michaelneale/deepseek-r1-goose\n\u2502\n\u25c7 Welcome! 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Let's get started on solving your problems together!\n\u2502\n\u2514 Configuration saved successfully\n"})})]}),(0,i.jsx)(t.A,{value:"ui",label:"Goose Desktop",children:(0,i.jsxs)(n.ol,{start:"3",children:["\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.code,{children:"..."})," in the top-right corner."]}),"\n",(0,i.jsxs)(n.li,{children:["Navigate to ",(0,i.jsx)(n.code,{children:"Settings"})," -> ",(0,i.jsx)(n.code,{children:"Browse Models"})," -> and select ",(0,i.jsx)(n.code,{children:"Ollama"})," from the list."]}),"\n",(0,i.jsxs)(n.li,{children:["Enter ",(0,i.jsx)(n.code,{children:"michaelneale/deepseek-r1-goose"})," for the model name."]}),"\n"]})})]}),"\n",(0,i.jsx)(n.hr,{}),"\n",(0,i.jsxs)(n.p,{children:["If you have any questions or need help with a specific provider, feel free to reach out to us on ",(0,i.jsx)(n.a,{href:"https://discord.gg/block-opensource",children:"Discord"})," or on the ",(0,i.jsx)(n.a,{href:"https://github.com/block/goose",children:"Goose repo"}),"."]})]})}function p(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(u,{...e})}):u(e)}},9329:(e,n,r)=>{r.d(n,{A:()=>l});r(6540);var o=r(4164);const i={tabItem:"tabItem_Ymn6"};var s=r(4848);function l(e){let{children:n,hidden:r,className:l}=e;return(0,s.jsx)("div",{role:"tabpanel",className:(0,o.A)(i.tabItem,l),hidden:r,children:n})}},5537:(e,n,r)=>{r.d(n,{A:()=>b});var o=r(6540),i=r(4164),s=r(5627),l=r(6347),t=r(372),d=r(604),a=r(1861),c=r(8749);function h(e){return o.Children.toArray(e).filter((e=>"\n"!==e)).map((e=>{if(!e||(0,o.isValidElement)(e)&&function(e){const{props:n}=e;return!!n&&"object"==typeof n&&"value"in n}(e))return e;throw new Error(`Docusaurus error: Bad child <${"string"==typeof e.type?e.type:e.type.name}>: all children of the component should be , and every should have a unique "value" prop.`)}))?.filter(Boolean)??[]}function u(e){const{values:n,children:r}=e;return(0,o.useMemo)((()=>{const e=n??function(e){return h(e).map((e=>{let{props:{value:n,label:r,attributes:o,default:i}}=e;return{value:n,label:r,attributes:o,default:i}}))}(r);return function(e){const n=(0,a.XI)(e,((e,n)=>e.value===n.value));if(n.length>0)throw new Error(`Docusaurus error: Duplicate values "${n.map((e=>e.value)).join(", ")}" found in . 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A link will appear, directing you to the provider\u2019s website. Once you've found the model you want, return to step 6 and paste the model name."]})]})]}),"\n",(0,s.jsx)(n.h2,{id:"using-goose-for-free",children:"Using Goose for Free"}),"\n",(0,s.jsxs)(n.p,{children:["Goose is a free and open source AI agent that you can start using right away, but not all supported ",(0,s.jsx)(n.a,{href:"/docs/getting-started/providers",children:"LLM Providers"})," provide a free tier."]}),"\n",(0,s.jsx)(n.p,{children:"Below, we outline a couple of free options and how to get started with them."}),"\n",(0,s.jsx)(n.admonition,{title:"Limitations",type:"warning",children:(0,s.jsx)(n.p,{children:"These free options are a great way to get started with Goose and explore its capabilities. However, you may need to upgrade your LLM for better performance."})}),"\n",(0,s.jsx)(n.h3,{id:"google-gemini",children:"Google Gemini"}),"\n",(0,s.jsxs)(n.p,{children:["Google Gemini provides a free tier. To start using the Gemini API with Goose, you need an API Key from ",(0,s.jsx)(n.a,{href:"https://aistudio.google.com/app/apikey",children:"Google AI studio"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"To set up Google Gemini with Goose, follow these steps:"}),"\n",(0,s.jsxs)(l.A,{groupId:"interface",children:[(0,s.jsxs)(t.A,{value:"cli",label:"Goose CLI",default:!0,children:[(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Run:"}),"\n"]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),(0,s.jsxs)(n.ol,{start:"2",children:["\n",(0,s.jsxs)(n.li,{children:["Select ",(0,s.jsx)(n.code,{children:"Configure Providers"})," from the menu."]}),"\n",(0,s.jsxs)(n.li,{children:["Follow the prompts to choose ",(0,s.jsx)(n.code,{children:"Google Gemini"})," as the provider."]}),"\n",(0,s.jsx)(n.li,{children:"Enter your API key when prompted."}),"\n",(0,s.jsx)(n.li,{children:"Enter the Gemini model of your choice."}),"\n"]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{children:"\u250c goose-configure\n\u2502\n\u25c7 What would you like to configure?\n\u2502 Configure Providers\n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Google Gemini\n\u2502\n\u25c7 Provider Google Gemini requires GOOGLE_API_KEY, please enter a value\n\u2502\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\u25aa\n\u2502 \n\u25c7 Enter a model from that provider:\n\u2502 gemini-2.0-flash-exp\n\u2502\n\u25c7 Hello! You're all set and ready to go, feel free to ask me anything!\n\u2502\n\u2514 Configuration saved successfully\n"})})]}),(0,s.jsxs)(t.A,{value:"ui",label:"Goose Desktop",children:[(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"To update your LLM provider and API key:"})}),(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Click on the three dots in the top-right corner."}),"\n",(0,s.jsxs)(n.li,{children:["Select ",(0,s.jsx)(n.code,{children:"Provider Settings"})," from the menu."]}),"\n",(0,s.jsxs)(n.li,{children:["Choose ",(0,s.jsx)(n.code,{children:"Google Gemini"})," as provider from the list."]}),"\n",(0,s.jsxs)(n.li,{children:["Click Edit, enter your API key, and click ",(0,s.jsx)(n.code,{children:"Set as Active"}),"."]}),"\n"]})]})]}),"\n",(0,s.jsx)(n.h3,{id:"local-llms-ollama",children:"Local LLMs (Ollama)"}),"\n",(0,s.jsx)(n.p,{children:"Ollama provides local LLMs, which requires a bit more set up before you can use it with Goose."}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.a,{href:"https://ollama.com/download",children:"Download Ollama"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Run any ",(0,s.jsx)(n.a,{href:"https://ollama.com/search?c=tools",children:"model supporting tool-calling"}),":"]}),"\n"]}),"\n",(0,s.jsx)(n.admonition,{title:"Limited Support for models without tool calling",type:"warning",children:(0,s.jsxs)(n.p,{children:["Goose extensively uses tool calling, so models without it (e.g. ",(0,s.jsx)(n.code,{children:"DeepSeek-r1"}),") can only do chat completion. 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This guide provides solutions for common problems.","source":"@site/docs/troubleshooting.md","sourceDirName":".","slug":"/troubleshooting","permalink":"/goose/docs/troubleshooting","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Troubleshooting"},"sidebar":"tutorialSidebar","previous":{"title":"Error Handling","permalink":"/goose/docs/goose-architecture/error-handling"}}');var r=s(4848),i=s(8453);const t={title:"Troubleshooting"},l="Troubleshooting",a={},d=[{value:"Goose Edits Files",id:"goose-edits-files",level:3},{value:"Interrupting Goose",id:"interrupting-goose",level:3},{value:"Stuck in a Loop or Unresponsive",id:"stuck-in-a-loop-or-unresponsive",level:3},{value:"Context Length Exceeded Error",id:"context-length-exceeded-error",level:3},{value:"Using Ollama Provider",id:"using-ollama-provider",level:3},{value:"Handling Rate Limit Errors",id:"handling-rate-limit-errors",level:3},{value:"Hermit Errors",id:"hermit-errors",level:3},{value:"API Errors",id:"api-errors",level:3},{value:"Remove Cached Data",id:"remove-cached-data",level:3},{value:"Keychain/Keyring Errors",id:"keychainkeyring-errors",level:3},{value:"Package Runners",id:"package-runners",level:3},{value:"macOS Permission Issues (M3 Macs)",id:"macos-permission-issues-m3-macs",level:3},{value:"How to Check and Fix Permissions:",id:"how-to-check-and-fix-permissions",level:4},{value:"How to Grant Read and Write Permissions:",id:"how-to-grant-read-and-write-permissions",level:4},{value:"Connection Error with Ollama Provider on WSL",id:"connection-error-with-ollama-provider-on-wsl",level:3},{value:"Need Further Help?",id:"need-further-help",level:3}];function c(e){const n={a:"a",admonition:"admonition",blockquote:"blockquote",code:"code",h1:"h1",h3:"h3",h4:"h4",header:"header",hr:"hr",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.header,{children:(0,r.jsx)(n.h1,{id:"troubleshooting",children:"Troubleshooting"})}),"\n",(0,r.jsx)(n.p,{children:"Goose, like any system, may run into occasional issues. This guide provides solutions for common problems."}),"\n",(0,r.jsx)(n.h3,{id:"goose-edits-files",children:"Goose Edits Files"}),"\n",(0,r.jsx)(n.p,{children:"Goose can and will edit files as part of its workflow. To avoid losing personal changes, use version control to stage your personal edits. Leave Goose edits unstaged until reviewed. Consider separate commits for Goose's edits so you can easily revert them if needed."}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"interrupting-goose",children:"Interrupting Goose"}),"\n",(0,r.jsxs)(n.p,{children:["If Goose is heading in the wrong direction or gets stuck, you can interrupt it by pressing ",(0,r.jsx)(n.code,{children:"CTRL+C"}),". This will stop Goose and give you the opportunity to correct its actions or provide additional information."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"stuck-in-a-loop-or-unresponsive",children:"Stuck in a Loop or Unresponsive"}),"\n",(0,r.jsx)(n.p,{children:'In rare cases, Goose may enter a "doom spiral" or become unresponsive during a long session. This is often resolved by ending the current session, and starting a new session.'}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Hold down ",(0,r.jsx)(n.code,{children:"Ctrl+C"})," to cancel"]}),"\n",(0,r.jsx)(n.li,{children:"Start a new session:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"goose session\n"})}),"\n",(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsx)(n.p,{children:"For particularly large or complex tasks, consider breaking them into smaller sessions."})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"context-length-exceeded-error",children:"Context Length Exceeded Error"}),"\n",(0,r.jsxs)(n.p,{children:["This error occurs when the input provided to Goose exceeds the maximum token limit of the LLM being used. To resolve this, try breaking down your input into smaller parts. You can also use ",(0,r.jsx)(n.code,{children:".goosehints"})," as a way to provide goose with detailed context. Refer to the ",(0,r.jsx)(n.a,{href:"/docs/guides/using-goosehints",children:"Using Goosehints Guide"})," for more information."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"using-ollama-provider",children:"Using Ollama Provider"}),"\n",(0,r.jsxs)(n.p,{children:["Ollama provides local LLMs, which means you must first ",(0,r.jsx)(n.a,{href:"/docs/getting-started/providers#local-llms-ollama",children:"download Ollama and run a model"})," before attempting to use this provider with Goose. If you do not have the model downloaded, you'll run into the following error:"]}),"\n",(0,r.jsxs)(n.blockquote,{children:["\n",(0,r.jsxs)(n.p,{children:['ExecutionError("error sending request for url (',(0,r.jsx)(n.a,{href:"http://localhost:11434/v1/chat/completions",children:"http://localhost:11434/v1/chat/completions"}),')")']}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Another thing to note is that the DeepSeek models do not support tool calling, so all Goose ",(0,r.jsx)(n.a,{href:"/docs/getting-started/using-extensions#enablingdisabling-extensions",children:"extensions must be disabled"})," to use one of these models. Unfortunately, without the use of tools, there is not much Goose will be able to do autonomously if using DeepSeek. However, Ollama's other models such as ",(0,r.jsx)(n.code,{children:"qwen2.5"})," do support tool calling and can be used with Goose extensions."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"handling-rate-limit-errors",children:"Handling Rate Limit Errors"}),"\n",(0,r.jsxs)(n.p,{children:["Goose may encounter a ",(0,r.jsx)(n.code,{children:"429 error"})," (rate limit exceeded) when interacting with LLM providers. The recommended solution is to use OpenRouter. See ",(0,r.jsx)(n.a,{href:"/docs/guides/handling-llm-rate-limits-with-goose",children:"Handling LLM Rate Limits"})," for more info."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"hermit-errors",children:"Hermit Errors"}),"\n",(0,r.jsxs)(n.p,{children:['If you see an issue installing an extension in the app that says "hermit',":fatal",'", you may need to reset your hermit cache. We use\na copy of hermit to ensure npx and uvx are consistently available. If you have already used an older version of hermit, you may\nneed to cleanup the cache - on Mac this cache is at']}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"sudo rm -rf ~/Library/Caches/hermit\n"})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"api-errors",children:"API Errors"}),"\n",(0,r.jsx)(n.p,{children:"Users may run into an error like the one below when there are issues with their LLM API tokens, such as running out of credits or incorrect configuration:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"Traceback (most recent call last):\n File \"/Users/admin/.local/pipx/venvs/goose-ai/lib/python3.13/site-packages/exchange/providers/utils.py\",\nline 30, in raise_for_status\n response.raise_for_status()\n ~~~~~~~~~~~~~~~~~~~~~~~~~^^\n File \"/Users/admin/.local/pipx/venvs/goose-ai/lib/python3.13/site-packages/httpx/_models.py\",\nline 829, in raise_for_status\n raise HTTPStatusError(message, request=request, response=self)\nhttpx.HTTPStatusError: Client error '404 Not Found' for url\n'https://api.openai.com/v1/chat/completions'\n\n...\n"})}),"\n",(0,r.jsx)(n.p,{children:"This error typically occurs when LLM API credits are exhausted or your API key is invalid. To resolve this issue:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Check Your API Credits:","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Log into your LLM provider's dashboard"}),"\n",(0,r.jsx)(n.li,{children:"Verify that you have enough credits. If not, refill them"}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Verify API Key:","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Run the following command to reconfigure your API key:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["For detailed steps on updating your LLM provider, refer to the ",(0,r.jsx)(n.a,{href:"/docs/getting-started/installation",children:"Installation"})," Guide."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"remove-cached-data",children:"Remove Cached Data"}),"\n",(0,r.jsxs)(n.p,{children:["Goose stores data in a few places. Secrets, such as API keys, are stored exclusively in the system keychain.\nLogs and configuration data are stored in ",(0,r.jsx)(n.code,{children:"~/.config/goose"}),". And the app stores a small amount of data in\n",(0,r.jsx)(n.code,{children:"~/Library/Application Support/Goose"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"You can remove all of this data by following these steps."}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["stop any copies of goose running (CLI or GUI)","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"consider confirming you've stopped them all via the activity monitor"}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.li,{children:'open the keychain and delete the credential called "goose", which contains all secrets stored by goose'}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:"rm -rf ~/.config/goose"})}),"\n",(0,r.jsxs)(n.li,{children:["For the App on macOS, ",(0,r.jsx)(n.code,{children:"rm -rf ~/Library/Application Support/Goose"})]}),"\n",(0,r.jsx)(n.li,{children:'Delete the "Goose" app from your Applications folder'}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"After this cleanup, if you are looking to try out a fresh install of Goose, you can now start from the usual\ninstall instructions."}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"keychainkeyring-errors",children:"Keychain/Keyring Errors"}),"\n",(0,r.jsx)(n.p,{children:"Goose tries to use the system keyring to store secrets. In environments where there is no keyring support, you may\nsee an error like:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Error Failed to access secure storage (keyring): Platform secure storage failure: DBus error: The name org.freedesktop.secrets was not provided by any .service files\nPlease check your system keychain and run 'goose configure' again.\nIf your system is unable to use the keyring, please try setting secret key(s) via environment variables.\n"})}),"\n",(0,r.jsxs)(n.p,{children:["In this case, you will need to set your provider specific environment variable(s), which can be found at ",(0,r.jsx)(n.a,{href:"/docs/getting-started/providers",children:"Supported LLM Providers"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"You can set them either by doing:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"export GOOGLE_API_KEY=$YOUR_KEY_HERE"})," - for the duration of your session"]}),"\n",(0,r.jsxs)(n.li,{children:["in your ",(0,r.jsx)(n.code,{children:"~/.bashrc"})," or ",(0,r.jsx)(n.code,{children:"~/.zshrc"})," - (or equivalents) so it persists on new shell each new session"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Then select the ",(0,r.jsx)(n.code,{children:"No"})," option when prompted to save the value to your keyring."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"$ goose configure\n\nWelcome to goose! Let's get you set up with a provider.\n you can rerun this command later to update your configuration\n\n\u250c goose-configure\n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Google Gemini\n\u2502\n\u25c7 GOOGLE_API_KEY is set via environment variable\n\u2502\n\u25c7 Would you like to save this value to your keyring?\n\u2502 No\n\u2502\n\u25c7 Enter a model from that provider:\n\u2502 gemini-2.0-flash-exp\n"})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"package-runners",children:"Package Runners"}),"\n",(0,r.jsx)(n.p,{children:"Many of the external extensions require a package runner. For example, if you run into an error like this one:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'Failed to start extension: {extension name}, "No such file or directory (os error 2)"\nPlease check extension configuration for {extension name}.\n'})}),"\n",(0,r.jsx)(n.p,{children:"... it signals that the extension may not have been installed and you need the package runner in order to do so."}),"\n",(0,r.jsxs)(n.p,{children:["An example is the GitHub extension whose command is ",(0,r.jsx)(n.code,{children:"npx -y @modelcontextprotocol/server-github"}),". You'd need ",(0,r.jsx)(n.a,{href:"https://nodejs.org/",children:"Node.js"})," installed on your system to run this command, as it uses npx."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"macos-permission-issues-m3-macs",children:"macOS Permission Issues (M3 Macs)"}),"\n",(0,r.jsxs)(n.p,{children:["If you encounter an issue where the Goose desktop app shows no window on launch, it may be due to file and folder permissions. This typically happens because Goose needs read and write access to the ",(0,r.jsx)(n.code,{children:"~/.config"})," directory to create its log directory and file."]}),"\n",(0,r.jsx)(n.h4,{id:"how-to-check-and-fix-permissions",children:"How to Check and Fix Permissions:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Open Terminal."}),"\n",(0,r.jsx)(n.li,{children:"Run the following command to check the current permissions for ~/.config:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"ls -ld ~/.config\n"})}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.strong,{children:"Example output:"})}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"drwx------ 7 yourusername staff 224 Jan 15 12:00 /Users/yourusername/.config\n"})}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.code,{children:"rwx"})," indicates you have read (r), write (w), and execute (x) permissions for your user. If you do not see ",(0,r.jsx)(n.code,{children:"rwx"})," for your user, follow the steps below."]}),"\n",(0,r.jsx)(n.h4,{id:"how-to-grant-read-and-write-permissions",children:"How to Grant Read and Write Permissions:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["To add the correct permissions, run the following commands:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"chmod u+rw ~/.config\n"})}),"\n","If the ~/.config directory does not exist, create it and then assign permissions:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"mkdir -p ~/.config\nchmod u+rw ~/.config\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Verify the change:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"ls -ld ~/.config\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"connection-error-with-ollama-provider-on-wsl",children:"Connection Error with Ollama Provider on WSL"}),"\n",(0,r.jsx)(n.p,{children:"If you encounter an error like this when setting up Ollama as the provider in Goose:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"Execution error: error sending request for url (http://localhost:11434/v1/chat/completions)\n"})}),"\n",(0,r.jsx)(n.p,{children:"This likely means that the local host address is not accessible from WSL."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Check if the service is running:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"curl http://localhost:11434/api/tags\n"})}),"\n","If you receive a ",(0,r.jsx)(n.code,{children:"failed to connect"})," error, it\u2019s possible that WSL is using a different IP for localhost. In that case, run the following command to find the correct IP address for WSL:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"ip route show | grep -i default | awk '{ print $3 }'\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Once you get the IP address, use it in your Goose configuration instead of localhost. For example:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"http://172.24.80.1:11434\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"need-further-help",children:"Need Further Help?"}),"\n",(0,r.jsxs)(n.p,{children:["If you have questions, run into issues, or just need to brainstorm ideas join the ",(0,r.jsx)(n.a,{href:"https://discord.gg/block-opensource",children:"Discord Community"}),"!"]})]})}function h(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(c,{...e})}):c(e)}},8453:(e,n,s)=>{s.d(n,{R:()=>t,x:()=>l});var o=s(6540);const r={},i=o.createContext(r);function t(e){const n=o.useContext(i);return o.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:t(e.components),o.createElement(i.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/9d9f8394.7b66d4ce.js b/assets/js/9d9f8394.7b66d4ce.js new file mode 100644 index 000000000..962679687 --- /dev/null +++ b/assets/js/9d9f8394.7b66d4ce.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[9013],{269:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>a,contentTitle:()=>l,default:()=>h,frontMatter:()=>t,metadata:()=>o,toc:()=>d});const o=JSON.parse('{"id":"troubleshooting","title":"Troubleshooting","description":"Goose, like any system, may run into occasional issues. This guide provides solutions for common problems.","source":"@site/docs/troubleshooting.md","sourceDirName":".","slug":"/troubleshooting","permalink":"/goose/docs/troubleshooting","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Troubleshooting"},"sidebar":"tutorialSidebar","previous":{"title":"Error Handling","permalink":"/goose/docs/goose-architecture/error-handling"}}');var r=s(4848),i=s(8453);const t={title:"Troubleshooting"},l="Troubleshooting",a={},d=[{value:"Goose Edits Files",id:"goose-edits-files",level:3},{value:"Interrupting Goose",id:"interrupting-goose",level:3},{value:"Stuck in a Loop or Unresponsive",id:"stuck-in-a-loop-or-unresponsive",level:3},{value:"Context Length Exceeded Error",id:"context-length-exceeded-error",level:3},{value:"Using Ollama Provider",id:"using-ollama-provider",level:3},{value:"Handling Rate Limit Errors",id:"handling-rate-limit-errors",level:3},{value:"Hermit Errors",id:"hermit-errors",level:3},{value:"API Errors",id:"api-errors",level:3},{value:"Uninstall Goose or Remove Cached Data",id:"uninstall-goose-or-remove-cached-data",level:3},{value:"Keychain/Keyring Errors",id:"keychainkeyring-errors",level:3},{value:"Package Runners",id:"package-runners",level:3},{value:"macOS Permission Issues",id:"macos-permission-issues",level:3},{value:"How to Check and Fix Permissions:",id:"how-to-check-and-fix-permissions",level:4},{value:"How to Grant Read and Write Permissions:",id:"how-to-grant-read-and-write-permissions",level:4},{value:"Connection Error with Ollama Provider on WSL",id:"connection-error-with-ollama-provider-on-wsl",level:3},{value:"Need Further Help?",id:"need-further-help",level:3}];function c(e){const n={a:"a",admonition:"admonition",blockquote:"blockquote",code:"code",h1:"h1",h3:"h3",h4:"h4",header:"header",hr:"hr",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.header,{children:(0,r.jsx)(n.h1,{id:"troubleshooting",children:"Troubleshooting"})}),"\n",(0,r.jsx)(n.p,{children:"Goose, like any system, may run into occasional issues. This guide provides solutions for common problems."}),"\n",(0,r.jsx)(n.h3,{id:"goose-edits-files",children:"Goose Edits Files"}),"\n",(0,r.jsx)(n.p,{children:"Goose can and will edit files as part of its workflow. To avoid losing personal changes, use version control to stage your personal edits. Leave Goose edits unstaged until reviewed. Consider separate commits for Goose's edits so you can easily revert them if needed."}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"interrupting-goose",children:"Interrupting Goose"}),"\n",(0,r.jsxs)(n.p,{children:["If Goose is heading in the wrong direction or gets stuck, you can interrupt it by pressing ",(0,r.jsx)(n.code,{children:"CTRL+C"}),". This will stop Goose and give you the opportunity to correct its actions or provide additional information."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"stuck-in-a-loop-or-unresponsive",children:"Stuck in a Loop or Unresponsive"}),"\n",(0,r.jsx)(n.p,{children:'In rare cases, Goose may enter a "doom spiral" or become unresponsive during a long session. This is often resolved by ending the current session, and starting a new session.'}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Hold down ",(0,r.jsx)(n.code,{children:"Ctrl+C"})," to cancel"]}),"\n",(0,r.jsx)(n.li,{children:"Start a new session:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"goose session\n"})}),"\n",(0,r.jsx)(n.admonition,{type:"tip",children:(0,r.jsx)(n.p,{children:"For particularly large or complex tasks, consider breaking them into smaller sessions."})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"context-length-exceeded-error",children:"Context Length Exceeded Error"}),"\n",(0,r.jsxs)(n.p,{children:["This error occurs when the input provided to Goose exceeds the maximum token limit of the LLM being used. To resolve this, try breaking down your input into smaller parts. You can also use ",(0,r.jsx)(n.code,{children:".goosehints"})," as a way to provide goose with detailed context. Refer to the ",(0,r.jsx)(n.a,{href:"/docs/guides/using-goosehints",children:"Using Goosehints Guide"})," for more information."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"using-ollama-provider",children:"Using Ollama Provider"}),"\n",(0,r.jsxs)(n.p,{children:["Ollama provides local LLMs, which means you must first ",(0,r.jsx)(n.a,{href:"/docs/getting-started/providers#local-llms-ollama",children:"download Ollama and run a model"})," before attempting to use this provider with Goose. If you do not have the model downloaded, you'll run into the following error:"]}),"\n",(0,r.jsxs)(n.blockquote,{children:["\n",(0,r.jsxs)(n.p,{children:['ExecutionError("error sending request for url (',(0,r.jsx)(n.a,{href:"http://localhost:11434/v1/chat/completions",children:"http://localhost:11434/v1/chat/completions"}),')")']}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Another thing to note is that the DeepSeek models do not support tool calling, so all Goose ",(0,r.jsx)(n.a,{href:"/docs/getting-started/using-extensions#enablingdisabling-extensions",children:"extensions must be disabled"})," to use one of these models. Unfortunately, without the use of tools, there is not much Goose will be able to do autonomously if using DeepSeek. However, Ollama's other models such as ",(0,r.jsx)(n.code,{children:"qwen2.5"})," do support tool calling and can be used with Goose extensions."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"handling-rate-limit-errors",children:"Handling Rate Limit Errors"}),"\n",(0,r.jsxs)(n.p,{children:["Goose may encounter a ",(0,r.jsx)(n.code,{children:"429 error"})," (rate limit exceeded) when interacting with LLM providers. The recommended solution is to use OpenRouter. See ",(0,r.jsx)(n.a,{href:"/docs/guides/handling-llm-rate-limits-with-goose",children:"Handling LLM Rate Limits"})," for more info."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"hermit-errors",children:"Hermit Errors"}),"\n",(0,r.jsxs)(n.p,{children:['If you see an issue installing an extension in the app that says "hermit',":fatal",'", you may need to reset your hermit cache. We use\na copy of hermit to ensure npx and uvx are consistently available. If you have already used an older version of hermit, you may\nneed to cleanup the cache - on Mac this cache is at']}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"sudo rm -rf ~/Library/Caches/hermit\n"})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"api-errors",children:"API Errors"}),"\n",(0,r.jsx)(n.p,{children:"Users may run into an error like the one below when there are issues with their LLM API tokens, such as running out of credits or incorrect configuration:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"Traceback (most recent call last):\n File \"/Users/admin/.local/pipx/venvs/goose-ai/lib/python3.13/site-packages/exchange/providers/utils.py\",\nline 30, in raise_for_status\n response.raise_for_status()\n ~~~~~~~~~~~~~~~~~~~~~~~~~^^\n File \"/Users/admin/.local/pipx/venvs/goose-ai/lib/python3.13/site-packages/httpx/_models.py\",\nline 829, in raise_for_status\n raise HTTPStatusError(message, request=request, response=self)\nhttpx.HTTPStatusError: Client error '404 Not Found' for url\n'https://api.openai.com/v1/chat/completions'\n\n...\n"})}),"\n",(0,r.jsx)(n.p,{children:"This error typically occurs when LLM API credits are exhausted or your API key is invalid. To resolve this issue:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Check Your API Credits:","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Log into your LLM provider's dashboard"}),"\n",(0,r.jsx)(n.li,{children:"Verify that you have enough credits. If not, refill them"}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Verify API Key:","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Run the following command to reconfigure your API key:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"goose configure\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["For detailed steps on updating your LLM provider, refer to the ",(0,r.jsx)(n.a,{href:"/docs/getting-started/installation",children:"Installation"})," Guide."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"uninstall-goose-or-remove-cached-data",children:"Uninstall Goose or Remove Cached Data"}),"\n",(0,r.jsx)(n.p,{children:"You may need to uninstall Goose or clear existing data before re-installing. Goose stores data in a few places. Secrets, such as API keys, are stored exclusively in the system keychain."}),"\n",(0,r.jsxs)(n.p,{children:["Logs and configuration data are stored in ",(0,r.jsx)(n.code,{children:"~/.config/goose"}),". And the app stores a small amount of data in\n",(0,r.jsx)(n.code,{children:"~/Library/Application Support/Goose"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"You can remove all of this data by following these steps."}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["stop any copies of goose running (CLI or GUI)","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"consider confirming you've stopped them all via the activity monitor"}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.li,{children:'open the keychain and delete the credential called "goose", which contains all secrets stored by goose'}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:"rm -rf ~/.config/goose"})}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"If you are using Goose Desktop on macOS, you may also need to remove the app itself."}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:"rm -rf ~/Library/Application Support/Goose"})}),"\n",(0,r.jsx)(n.li,{children:'Delete the "Goose" app from your Applications folder'}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"After this cleanup, if you are looking to try out a fresh install of Goose, you can now start from the usual\ninstall instructions."}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"keychainkeyring-errors",children:"Keychain/Keyring Errors"}),"\n",(0,r.jsx)(n.p,{children:"Goose tries to use the system keyring to store secrets. In environments where there is no keyring support, you may\nsee an error like:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"Error Failed to access secure storage (keyring): Platform secure storage failure: DBus error: The name org.freedesktop.secrets was not provided by any .service files\nPlease check your system keychain and run 'goose configure' again.\nIf your system is unable to use the keyring, please try setting secret key(s) via environment variables.\n"})}),"\n",(0,r.jsxs)(n.p,{children:["In this case, you will need to set your provider specific environment variable(s), which can be found at ",(0,r.jsx)(n.a,{href:"/docs/getting-started/providers",children:"Supported LLM Providers"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"You can set them either by doing:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"export GOOGLE_API_KEY=$YOUR_KEY_HERE"})," - for the duration of your session"]}),"\n",(0,r.jsxs)(n.li,{children:["in your ",(0,r.jsx)(n.code,{children:"~/.bashrc"})," or ",(0,r.jsx)(n.code,{children:"~/.zshrc"})," - (or equivalents) so it persists on new shell each new session"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Then select the ",(0,r.jsx)(n.code,{children:"No"})," option when prompted to save the value to your keyring."]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"$ goose configure\n\nWelcome to goose! Let's get you set up with a provider.\n you can rerun this command later to update your configuration\n\n\u250c goose-configure\n\u2502\n\u25c7 Which model provider should we use?\n\u2502 Google Gemini\n\u2502\n\u25c7 GOOGLE_API_KEY is set via environment variable\n\u2502\n\u25c7 Would you like to save this value to your keyring?\n\u2502 No\n\u2502\n\u25c7 Enter a model from that provider:\n\u2502 gemini-2.0-flash-exp\n"})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"package-runners",children:"Package Runners"}),"\n",(0,r.jsx)(n.p,{children:"Many of the external extensions require a package runner. For example, if you run into an error like this one:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'Failed to start extension: {extension name}, "No such file or directory (os error 2)"\nPlease check extension configuration for {extension name}.\n'})}),"\n",(0,r.jsx)(n.p,{children:"... it signals that the extension may not have been installed and you need the package runner in order to do so."}),"\n",(0,r.jsxs)(n.p,{children:["An example is the GitHub extension whose command is ",(0,r.jsx)(n.code,{children:"npx -y @modelcontextprotocol/server-github"}),". You'd need ",(0,r.jsx)(n.a,{href:"https://nodejs.org/",children:"Node.js"})," installed on your system to run this command, as it uses npx."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"macos-permission-issues",children:"macOS Permission Issues"}),"\n",(0,r.jsxs)(n.p,{children:["If you encounter an issue where the Goose Desktop app shows no window on launch, it may be due to file and folder permissions. This typically happens because Goose needs read and write access to the ",(0,r.jsx)(n.code,{children:"~/.config"})," directory to create its log directory and file."]}),"\n",(0,r.jsx)(n.h4,{id:"how-to-check-and-fix-permissions",children:"How to Check and Fix Permissions:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Open Terminal."}),"\n",(0,r.jsx)(n.li,{children:"Run the following command to check the current permissions for ~/.config:"}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"ls -ld ~/.config\n"})}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.strong,{children:"Example output:"})}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"drwx------ 7 yourusername staff 224 Jan 15 12:00 /Users/yourusername/.config\n"})}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.code,{children:"rwx"})," indicates you have read (r), write (w), and execute (x) permissions for your user. If you do not see ",(0,r.jsx)(n.code,{children:"rwx"})," for your user, follow the steps below."]}),"\n",(0,r.jsx)(n.h4,{id:"how-to-grant-read-and-write-permissions",children:"How to Grant Read and Write Permissions:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["To add the correct permissions, run the following commands:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"chmod u+rw ~/.config\n"})}),"\n","If the ~/.config directory does not exist, create it and then assign permissions:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"mkdir -p ~/.config\nchmod u+rw ~/.config\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Verify the change:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"ls -ld ~/.config\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"If you still experience issues after fixing permissions, try launching Goose with superuser (admin) privileges:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-sh",children:"sudo /Applications/Goose.app/Contents/MacOS/Goose\n"})}),"\n",(0,r.jsx)(n.admonition,{type:"note",children:(0,r.jsx)(n.p,{children:"Running Goose with sudo may create files owned by root, which could lead to further permission issues. Use this as a troubleshooting step rather than a permanent fix."})}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"connection-error-with-ollama-provider-on-wsl",children:"Connection Error with Ollama Provider on WSL"}),"\n",(0,r.jsx)(n.p,{children:"If you encounter an error like this when setting up Ollama as the provider in Goose:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"Execution error: error sending request for url (http://localhost:11434/v1/chat/completions)\n"})}),"\n",(0,r.jsx)(n.p,{children:"This likely means that the local host address is not accessible from WSL."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Check if the service is running:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"curl http://localhost:11434/api/tags\n"})}),"\n","If you receive a ",(0,r.jsx)(n.code,{children:"failed to connect"})," error, it\u2019s possible that WSL is using a different IP for localhost. In that case, run the following command to find the correct IP address for WSL:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"ip route show | grep -i default | awk '{ print $3 }'\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["Once you get the IP address, use it in your Goose configuration instead of localhost. For example:","\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"http://172.24.80.1:11434\n"})}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsx)(n.h3,{id:"need-further-help",children:"Need Further Help?"}),"\n",(0,r.jsxs)(n.p,{children:["If you have questions, run into issues, or just need to brainstorm ideas join the ",(0,r.jsx)(n.a,{href:"https://discord.gg/block-opensource",children:"Discord Community"}),"!"]})]})}function h(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(c,{...e})}):c(e)}},8453:(e,n,s)=>{s.d(n,{R:()=>t,x:()=>l});var o=s(6540);const r={},i=o.createContext(r);function t(e){const n=o.useContext(i);return o.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function l(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:t(e.components),o.createElement(i.Provider,{value:n},e.children)}}}]); \ No newline at end of file diff --git a/assets/js/b5040a98.d27115d9.js b/assets/js/b5040a98.7fe9a38f.js similarity index 77% rename from assets/js/b5040a98.d27115d9.js rename to assets/js/b5040a98.7fe9a38f.js index 9292ceb5b..7766a1031 100644 --- a/assets/js/b5040a98.d27115d9.js +++ b/assets/js/b5040a98.7fe9a38f.js @@ -1 +1 @@ -"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[7066],{326:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>h,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var s=n(4800),i=n(4848),a=n(8453);const o={title:"Agentic AI and the MCP Ecosystem",description:"A 101 introduction to AI Agents",authors:["angie"]},r=void 0,l={authorsImageUrls:[void 0]},c=[{value:"What are AI Agents?",id:"what-are-ai-agents",level:2},{value:"How AI Agents Work with LLMs",id:"how-ai-agents-work-with-llms",level:2},{value:"Tool Calling",id:"tool-calling",level:3},{value:"MCP Ecosystem",id:"mcp-ecosystem",level:2},{value:"Get Started with AI Agents",id:"get-started-with-ai-agents",level:2}];function d(e){const t={a:"a",blockquote:"blockquote",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,a.R)(),...e.components},{Head:s}=t;return s||function(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Head",!0),(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"blog banner",src:n(3848).A+"",width:"1200",height:"630"})}),"\n",(0,i.jsx)(t.p,{children:"It seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people."}),"\n",(0,i.jsxs)(t.p,{children:["As amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don't just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via ",(0,i.jsx)(t.strong,{children:"AI agents"}),"."]}),"\n",(0,i.jsx)(t.h2,{id:"what-are-ai-agents",children:"What are AI Agents?"}),"\n",(0,i.jsx)(t.p,{children:"When you interact with chatbots that use AI, like ChatGPT, you can ask it how to do something, and it'll provide step-by-step instructions."}),"\n",(0,i.jsx)(t.p,{children:"For example, if I ran into an error while coding, I could paste the error message into ChatGPT and ask it to help me debug. Because ChatGPT doesn't have access to my codebase, it would speculate on the cause of my error and give me a couple of possible solutions to try. I'd then manually try these proposed solutions and return to inform ChatGPT of the results. We'd continue this back and forth until the error is resolved or I give up."}),"\n",(0,i.jsx)(t.p,{children:"AI Agents greatly simplify this flow by talking with the LLM on my behalf and taking direct action to fix the problem."}),"\n",(0,i.jsxs)(t.blockquote,{children:["\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.em,{children:(0,i.jsx)(t.strong,{children:"An AI agent is a system that operates autonomously to accomplish a goal."})})}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Because AI agents are connected to systems, they can analyze a situation, determine the next action, and execute it without much, if any, human intervention. This capability turns them from passive chatbots into automation assistants."}),"\n",(0,i.jsx)(t.p,{children:"By using an AI agent, I can simply say \"fix the error\" and it'll have context about what's wrong and automatically fix the error for me."}),"\n",(0,i.jsx)(t.h2,{id:"how-ai-agents-work-with-llms",children:"How AI Agents Work with LLMs"}),"\n",(0,i.jsxs)(t.p,{children:["LLMs (e.g. GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, etc) provide cognitive abilities to AI agents. Most AI agents will have a chat interface themselves where you type your prompt, and the agent will send this prompt to an LLM. At the same time, the agent will also inform the LLM of what ",(0,i.jsx)(t.strong,{children:"tools"})," it has access to."]}),"\n",(0,i.jsx)(t.h3,{id:"tool-calling",children:"Tool Calling"}),"\n",(0,i.jsxs)(t.p,{children:["Tools are one of the most important aspects of agentic AI. AI agents are able to execute API calls via ",(0,i.jsx)(t.strong,{children:"tool calling"}),"."]}),"\n",(0,i.jsx)(t.p,{children:"Let's look at an example:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["A user sends a prompt to their AI agent: ",(0,i.jsx)(t.em,{children:'"Fix the NullPointerException in my UserService.java file."'})]}),"\n"]}),"\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsx)(t.p,{children:"The agent sends the user request and the list of its available tools to the LLM in a structured format."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:'User Request: "Fix the NullPointerException in my UserService.java file."\n\nAvailable Tools:\n1. read_file(file_path: str) \u2192 Returns the contents of the specified file.\n2. analyze_code(file_content: str) \u2192 Identifies potential errors and suggests fixes.\n3. edit_file(file_path: str, modifications: dict) \u2192 Applies code changes.\n4. run_tests() \u2192 Executes the test suite and returns results.\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"3",children:["\n",(0,i.jsx)(t.li,{children:"The LLM analyzes the request and selects the appropriate tools. It determines that it needs to read the file in order to help."}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "read_file",\n "parameters": { "file_path": "UserService.java" }\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"4",children:["\n",(0,i.jsxs)(t.li,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"read_file()"})," and sends the code to the LLM."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-java",children:"public class UserService {\n private Database db;\n\n public void getUser(String userId) {\n System.out.println(db.findUserById(userId).getName());\n }\n}\n"})}),"\n",(0,i.jsxs)(t.ol,{start:"5",children:["\n",(0,i.jsxs)(t.li,{children:["The LLM recognizes the issue (",(0,i.jsx)(t.code,{children:"db"})," variable is not initialized) and now selects another tool to fix the issue."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "edit_file",\n "parameters": {\n "file_path": "UserService.java",\n "modifications": {\n "line_number": 3,\n "replacement": "private Database db = new Database();"\n }\n }\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"6",children:["\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"edit_file()"})," to fix ",(0,i.jsx)(t.code,{children:"UserService.java"})," and informs the LLM."]}),"\n"]}),"\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsx)(t.p,{children:"The LLM determines that it's a good idea to run tests to confirm the change."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "run_tests",\n "parameters": {}\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"8",children:["\n",(0,i.jsxs)(t.li,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"run_tests()"})," and provides the results to the LLM."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'{\n "tests_passed": true,\n "failed_tests": []\n}\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"9",children:["\n",(0,i.jsx)(t.li,{children:"The LLM generates a final message that the agent then presents to the user."}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:"I\u2019ve fixed the NullPointerException in UserService.java by initializing the db variable. All tests have passed. Let me know if you need further modifications!\n"})}),"\n",(0,i.jsx)(t.p,{children:"Without tool calling, LLMs would only guess answers based on their training data. But by using tools, agents can directly access the data they need to make accurate decisions and take actions."}),"\n",(0,i.jsx)(t.p,{children:"It's worth noting that not all agents are the same when it comes to tool access. Most proprietary agents are tightly scoped to a specific LLM and a predefined set of tools, as companies build agents tailored for their own applications."}),"\n",(0,i.jsxs)(t.p,{children:["Other agents, like Goose, are more extensible, allowing users to configure it with the LLM of their choice, as well as add tools for various APIs, databases, and even ",(0,i.jsx)(t.a,{href:"/docs/tutorials/jetbrains-mcp",children:"local environments like IDEs"}),". However, for agents to scale across different tools and systems without requiring custom integrations for each one, they need a standardized way to discover, call, and manage tools. This is exactly what the ",(0,i.jsx)(t.a,{href:"https://modelcontextprotocol.io/introduction",children:"Model Context Protocol (MCP)"})," provides."]}),"\n",(0,i.jsx)(t.h2,{id:"mcp-ecosystem",children:"MCP Ecosystem"}),"\n",(0,i.jsx)(t.p,{children:"Traditional AI integrations require custom API calls for every system, making scaling difficult. MCP solves this by providing an open, universal protocol for agents to communicate with external systems dynamically."}),"\n",(0,i.jsx)(t.p,{children:"With MCP, an agent like Goose can:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"connect to any API without a developer writing manual integration code"}),"\n",(0,i.jsx)(t.li,{children:"integrate with cloud services, dev tools, databases, and enterprise systems"}),"\n",(0,i.jsx)(t.li,{children:"retrieve and store context to enhance reasoning"}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["At the time of this writing, there are more than ",(0,i.jsx)(t.a,{href:"https://www.pulsemcp.com/servers",children:"1000 MCP servers"})," (systems that expose tools) that any MCP-enabled AI agent like Goose can connect to! These MCP servers act as bridges between agents and external systems, enabling access to APIs, databases, and development environments. Some were developed by the official API providers, while the vast majority were developed by community members. Because MCP is an open standard, anyone can build an MCP server for any resource. This greatly increases the possibilities of AI agents!"]}),"\n",(0,i.jsx)(t.p,{children:"For example, let's say I want Goose to develop a new web app for me in my WebStorm IDE based on a Figma design and then commit the code to a new repo in GitHub. I can add the following MCP Servers as Goose extensions to give it all of these capabilities:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/figma-mcp",children:"Figma"})}),"\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/jetbrains-mcp",children:"JetBrains"})}),"\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/github-mcp",children:"GitHub"})}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"With this, I can prompt my AI agent in natural language and it'll take care of the work:"}),"\n",(0,i.jsxs)(t.blockquote,{children:["\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.em,{children:'"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp"'})}),"\n"]}),"\n",(0,i.jsx)(t.h2,{id:"get-started-with-ai-agents",children:"Get Started with AI Agents"}),"\n",(0,i.jsxs)(t.p,{children:["Pretty powerful, right?! Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. ",(0,i.jsx)(t.a,{href:"/docs/getting-started/installation",children:"Goose"})," is free and open source and you can add as many ",(0,i.jsx)(t.a,{href:"/docs/getting-started/using-extensions#adding-extensions",children:"extensions"})," as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient."]}),"\n",(0,i.jsxs)(s,{children:[(0,i.jsx)("meta",{property:"og:title",content:"Agentic AI and the MCP Ecosystem"}),(0,i.jsx)("meta",{property:"og:type",content:"article"}),(0,i.jsx)("meta",{property:"og:url",content:"https://block.github.io/goose/blog/2025/02/17/agentic-ai-mcp"}),(0,i.jsx)("meta",{property:"og:description",content:"A 101 introduction to AI Agents"}),(0,i.jsx)("meta",{property:"og:image",content:"https://block.github.io/goose/assets/images/agentic-ai-with-mcp-1e3050cc8d8ae7a620440e871ad9f0d2.png"}),(0,i.jsx)("meta",{name:"twitter:card",content:"summary_large_image"}),(0,i.jsx)("meta",{property:"twitter:domain",content:"block.github.io/goose"}),(0,i.jsx)("meta",{name:"twitter:title",content:"Agentic AI and the MCP Ecosystem"}),(0,i.jsx)("meta",{name:"twitter:description",content:"A 101 introduction to AI Agents"}),(0,i.jsx)("meta",{name:"twitter:image",content:"https://block.github.io/goose/assets/images/agentic-ai-with-mcp-1e3050cc8d8ae7a620440e871ad9f0d2.png"})]})]})}function h(e={}){const{wrapper:t}={...(0,a.R)(),...e.components};return t?(0,i.jsx)(t,{...e,children:(0,i.jsx)(d,{...e})}):d(e)}},3848:(e,t,n)=>{n.d(t,{A:()=>s});const s=n.p+"assets/images/agentic-ai-with-mcp-1e3050cc8d8ae7a620440e871ad9f0d2.png"},8453:(e,t,n)=>{n.d(t,{R:()=>o,x:()=>r});var s=n(6540);const i={},a=s.createContext(i);function o(e){const t=s.useContext(a);return s.useMemo((function(){return"function"==typeof e?e(t):{...t,...e}}),[t,e])}function r(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:o(e.components),s.createElement(a.Provider,{value:t},e.children)}},4800:e=>{e.exports=JSON.parse('{"permalink":"/goose/blog/2025/02/17/agentic-ai-mcp","source":"@site/blog/2025-02-17-agentic-ai-mcp/index.md","title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","date":"2025-02-17T00:00:00.000Z","tags":[],"readingTime":6.065,"hasTruncateMarker":true,"authors":[{"name":"Angie Jones","title":"Head of Developer Relations","url":"https://angiejones.tech","page":{"permalink":"/goose/blog/authors/angie"},"socials":{"x":"https://x.com/techgirl1908","github":"https://github.com/techgirl1908"},"imageURL":"https://avatars.githubusercontent.com/u/15972783?v=4","key":"angie"}],"frontMatter":{"title":"Agentic AI and the MCP Ecosystem","description":"A 101 introduction to AI Agents","authors":["angie"]},"unlisted":false,"nextItem":{"title":"Introducing codename goose","permalink":"/goose/blog/2025/01/28/introducing-codename-goose"}}')}}]); \ No newline at end of file +"use strict";(self.webpackChunkgoose=self.webpackChunkgoose||[]).push([[7066],{326:(e,t,n)=>{n.r(t),n.d(t,{assets:()=>l,contentTitle:()=>r,default:()=>h,frontMatter:()=>o,metadata:()=>s,toc:()=>c});var s=n(4800),i=n(4848),a=n(8453);const o={title:"Agentic AI and the MCP Ecosystem",description:"A 101 introduction to AI Agents",authors:["angie"]},r=void 0,l={authorsImageUrls:[void 0]},c=[{value:"What are AI Agents?",id:"what-are-ai-agents",level:2},{value:"How AI Agents Work with LLMs",id:"how-ai-agents-work-with-llms",level:2},{value:"Tool Calling",id:"tool-calling",level:3},{value:"MCP Ecosystem",id:"mcp-ecosystem",level:2},{value:"Get Started with AI Agents",id:"get-started-with-ai-agents",level:2}];function d(e){const t={a:"a",blockquote:"blockquote",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,a.R)(),...e.components},{Head:s}=t;return s||function(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Head",!0),(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(t.p,{children:(0,i.jsx)(t.img,{alt:"blog banner",src:n(3848).A+"",width:"1200",height:"630"})}),"\n",(0,i.jsx)(t.p,{children:"It seems like yesterday when we all were wowed by generative AI and specifically the chat interfaces that made interacting with large language models (LLMs) accessible to everyday people."}),"\n",(0,i.jsxs)(t.p,{children:["As amazing as this was, it was only the beginning. The next wave of AI is agentic, meaning AI systems that don't just respond to prompts but take actions, make decisions, and interact with external systems. This is accomplished via ",(0,i.jsx)(t.strong,{children:"AI agents"}),"."]}),"\n",(0,i.jsx)(t.h2,{id:"what-are-ai-agents",children:"What are AI Agents?"}),"\n",(0,i.jsx)(t.p,{children:"When you interact with chatbots that use AI, like ChatGPT, you can ask it how to do something, and it'll provide step-by-step instructions."}),"\n",(0,i.jsx)(t.p,{children:"For example, if I ran into an error while coding, I could paste the error message into ChatGPT and ask it to help me debug. Because ChatGPT doesn't have access to my codebase, it would speculate on the cause of my error and give me a couple of possible solutions to try. I'd then manually try these proposed solutions and return to inform ChatGPT of the results. We'd continue this back and forth until the error is resolved or I give up."}),"\n",(0,i.jsx)(t.p,{children:"AI Agents greatly simplify this flow by talking with the LLM on my behalf and taking direct action to fix the problem."}),"\n",(0,i.jsxs)(t.blockquote,{children:["\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.em,{children:(0,i.jsx)(t.strong,{children:"An AI agent is a system that operates autonomously to accomplish a goal."})})}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Because AI agents are connected to systems, they can analyze a situation, determine the next action, and execute it without much, if any, human intervention. This capability turns them from passive chatbots into automation assistants."}),"\n",(0,i.jsx)(t.p,{children:"By using an AI agent, I can simply say \"fix the error\" and it'll have context about what's wrong and automatically fix the error for me."}),"\n",(0,i.jsx)(t.h2,{id:"how-ai-agents-work-with-llms",children:"How AI Agents Work with LLMs"}),"\n",(0,i.jsxs)(t.p,{children:["LLMs (e.g. GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, etc) provide cognitive abilities to AI agents. Most AI agents will have a chat interface themselves where you type your prompt, and the agent will send this prompt to an LLM. At the same time, the agent will also inform the LLM of what ",(0,i.jsx)(t.strong,{children:"tools"})," it has access to."]}),"\n",(0,i.jsx)(t.h3,{id:"tool-calling",children:"Tool Calling"}),"\n",(0,i.jsxs)(t.p,{children:["Tools are one of the most important aspects of agentic AI. AI agents are able to execute API calls via ",(0,i.jsx)(t.strong,{children:"tool calling"}),"."]}),"\n",(0,i.jsx)(t.p,{children:"Let's look at an example:"}),"\n",(0,i.jsxs)(t.ol,{children:["\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["A user sends a prompt to their AI agent: ",(0,i.jsx)(t.em,{children:'"Fix the NullPointerException in my UserService.java file."'})]}),"\n"]}),"\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsx)(t.p,{children:"The agent sends the user request and the list of its available tools to the LLM in a structured format."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:'User Request: "Fix the NullPointerException in my UserService.java file."\n\nAvailable Tools:\n1. read_file(file_path: str) \u2192 Returns the contents of the specified file.\n2. analyze_code(file_content: str) \u2192 Identifies potential errors and suggests fixes.\n3. edit_file(file_path: str, modifications: dict) \u2192 Applies code changes.\n4. run_tests() \u2192 Executes the test suite and returns results.\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"3",children:["\n",(0,i.jsx)(t.li,{children:"The LLM analyzes the request and selects the appropriate tools. It determines that it needs to read the file in order to help."}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "read_file",\n "parameters": { "file_path": "UserService.java" }\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"4",children:["\n",(0,i.jsxs)(t.li,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"read_file()"})," and sends the code to the LLM."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-java",children:"public class UserService {\n private Database db;\n\n public void getUser(String userId) {\n System.out.println(db.findUserById(userId).getName());\n }\n}\n"})}),"\n",(0,i.jsxs)(t.ol,{start:"5",children:["\n",(0,i.jsxs)(t.li,{children:["The LLM recognizes the issue (",(0,i.jsx)(t.code,{children:"db"})," variable is not initialized) and now selects another tool to fix the issue."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "edit_file",\n "parameters": {\n "file_path": "UserService.java",\n "modifications": {\n "line_number": 3,\n "replacement": "private Database db = new Database();"\n }\n }\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"6",children:["\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsxs)(t.p,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"edit_file()"})," to fix ",(0,i.jsx)(t.code,{children:"UserService.java"})," and informs the LLM."]}),"\n"]}),"\n",(0,i.jsxs)(t.li,{children:["\n",(0,i.jsx)(t.p,{children:"The LLM determines that it's a good idea to run tests to confirm the change."}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'[\n {\n "tool": "run_tests",\n "parameters": {}\n }\n]\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"8",children:["\n",(0,i.jsxs)(t.li,{children:["The agent executes ",(0,i.jsx)(t.code,{children:"run_tests()"})," and provides the results to the LLM."]}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{className:"language-json",children:'{\n "tests_passed": true,\n "failed_tests": []\n}\n'})}),"\n",(0,i.jsxs)(t.ol,{start:"9",children:["\n",(0,i.jsx)(t.li,{children:"The LLM generates a final message that the agent then presents to the user."}),"\n"]}),"\n",(0,i.jsx)(t.pre,{children:(0,i.jsx)(t.code,{children:"I\u2019ve fixed the NullPointerException in UserService.java by initializing the db variable. All tests have passed. Let me know if you need further modifications!\n"})}),"\n",(0,i.jsx)(t.p,{children:"Without tool calling, LLMs would only guess answers based on their training data. But by using tools, agents can directly access the data they need to make accurate decisions and take actions."}),"\n",(0,i.jsx)(t.p,{children:"It's worth noting that not all agents are the same when it comes to tool access. Most proprietary agents are tightly scoped to a specific LLM and a predefined set of tools, as companies build agents tailored for their own applications."}),"\n",(0,i.jsxs)(t.p,{children:["Other agents, like Goose, are more extensible, allowing users to configure it with the LLM of their choice, as well as add tools for various APIs, databases, and even ",(0,i.jsx)(t.a,{href:"/docs/tutorials/jetbrains-mcp",children:"local environments like IDEs"}),". However, for agents to scale across different tools and systems without requiring custom integrations for each one, they need a standardized way to discover, call, and manage tools. This is exactly what the ",(0,i.jsx)(t.a,{href:"https://modelcontextprotocol.io/introduction",children:"Model Context Protocol (MCP)"})," provides."]}),"\n",(0,i.jsx)(t.h2,{id:"mcp-ecosystem",children:"MCP Ecosystem"}),"\n",(0,i.jsx)(t.p,{children:"Traditional AI integrations require custom API calls for every system, making scaling difficult. MCP solves this by providing an open, universal protocol for agents to communicate with external systems dynamically."}),"\n",(0,i.jsx)(t.p,{children:"With MCP, an agent like Goose can:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:"connect to any API without a developer writing manual integration code"}),"\n",(0,i.jsx)(t.li,{children:"integrate with cloud services, dev tools, databases, and enterprise systems"}),"\n",(0,i.jsx)(t.li,{children:"retrieve and store context to enhance reasoning"}),"\n"]}),"\n",(0,i.jsxs)(t.p,{children:["At the time of this writing, there are more than ",(0,i.jsx)(t.a,{href:"https://www.pulsemcp.com/servers",children:"1000 MCP servers"})," (systems that expose tools) that any MCP-enabled AI agent like Goose can connect to! These MCP servers act as bridges between agents and external systems, enabling access to APIs, databases, and development environments. Some were developed by the official API providers, while the vast majority were developed by community members. Because MCP is an open standard, anyone can build an MCP server for any resource. This greatly increases the possibilities of AI agents!"]}),"\n",(0,i.jsx)(t.p,{children:"For example, let's say I want Goose to develop a new web app for me in my WebStorm IDE based on a Figma design and then commit the code to a new repo in GitHub. I can add the following MCP Servers as Goose extensions to give it all of these capabilities:"}),"\n",(0,i.jsxs)(t.ul,{children:["\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/figma-mcp",children:"Figma"})}),"\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/jetbrains-mcp",children:"JetBrains"})}),"\n",(0,i.jsx)(t.li,{children:(0,i.jsx)(t.a,{href:"/docs/tutorials/github-mcp",children:"GitHub"})}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"With this, I can prompt my AI agent in natural language and it'll take care of the work:"}),"\n",(0,i.jsxs)(t.blockquote,{children:["\n",(0,i.jsx)(t.p,{children:(0,i.jsx)(t.em,{children:'"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp"'})}),"\n"]}),"\n",(0,i.jsx)(t.p,{children:"Pretty powerful, right?!"}),"\n",(0,i.jsx)(t.h2,{id:"get-started-with-ai-agents",children:"Get Started with AI Agents"}),"\n",(0,i.jsxs)(t.p,{children:["Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. 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e.languages.flow.parameter,e.languages.insertBefore("flow","operator",{"flow-punctuation":{pattern:/\{\||\|\}/,alias:"punctuation"}}),Array.isArray(e.languages.flow.keyword)||(e.languages.flow.keyword=[e.languages.flow.keyword]),e.languages.flow.keyword.unshift({pattern:/(^|[^$]\b)(?:Class|declare|opaque|type)\b(?!\$)/,lookbehind:!0},{pattern:/(^|[^$]\B)\$(?:Diff|Enum|Exact|Keys|ObjMap|PropertyType|Record|Shape|Subtype|Supertype|await)\b(?!\$)/,lookbehind:!0})}(A),A.languages.n4js=A.languages.extend("javascript",{keyword:/\b(?:Array|any|boolean|break|case|catch|class|const|constructor|continue|debugger|declare|default|delete|do|else|enum|export|extends|false|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|module|new|null|number|package|private|protected|public|return|set|static|string|super|switch|this|throw|true|try|typeof|var|void|while|with|yield)\b/}),A.languages.insertBefore("n4js","constant",{annotation:{pattern:/@+\w+/,alias:"operator"}}),A.languages.n4jsd=A.languages.n4js,function(e){function t(e,t){return RegExp(e.replace(//g,(function(){return/(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*/.source})),t)}e.languages.insertBefore("javascript","function-variable",{"method-variable":{pattern:RegExp("(\\.\\s*)"+e.languages.javascript["function-variable"].pattern.source),lookbehind:!0,alias:["function-variable","method","function","property-access"]}}),e.languages.insertBefore("javascript","function",{method:{pattern:RegExp("(\\.\\s*)"+e.languages.javascript.function.source),lookbehind:!0,alias:["function","property-access"]}}),e.languages.insertBefore("javascript","constant",{"known-class-name":[{pattern:/\b(?:(?:Float(?:32|64)|(?:Int|Uint)(?:8|16|32)|Uint8Clamped)?Array|ArrayBuffer|BigInt|Boolean|DataView|Date|Error|Function|Intl|JSON|(?:Weak)?(?:Map|Set)|Math|Number|Object|Promise|Proxy|Reflect|RegExp|String|Symbol|WebAssembly)\b/,alias:"class-name"},{pattern:/\b(?:[A-Z]\w*)Error\b/,alias:"class-name"}]}),e.languages.insertBefore("javascript","keyword",{imports:{pattern:t(/(\bimport\b\s*)(?:(?:\s*,\s*(?:\*\s*as\s+|\{[^{}]*\}))?|\*\s*as\s+|\{[^{}]*\})(?=\s*\bfrom\b)/.source),lookbehind:!0,inside:e.languages.javascript},exports:{pattern:t(/(\bexport\b\s*)(?:\*(?:\s*as\s+)?(?=\s*\bfrom\b)|\{[^{}]*\})/.source),lookbehind:!0,inside:e.languages.javascript}}),e.languages.javascript.keyword.unshift({pattern:/\b(?:as|default|export|from|import)\b/,alias:"module"},{pattern:/\b(?:await|break|catch|continue|do|else|finally|for|if|return|switch|throw|try|while|yield)\b/,alias:"control-flow"},{pattern:/\bnull\b/,alias:["null","nil"]},{pattern:/\bundefined\b/,alias:"nil"}),e.languages.insertBefore("javascript","operator",{spread:{pattern:/\.{3}/,alias:"operator"},arrow:{pattern:/=>/,alias:"operator"}}),e.languages.insertBefore("javascript","punctuation",{"property-access":{pattern:t(/(\.\s*)#?/.source),lookbehind:!0},"maybe-class-name":{pattern:/(^|[^$\w\xA0-\uFFFF])[A-Z][$\w\xA0-\uFFFF]+/,lookbehind:!0},dom:{pattern:/\b(?:document|(?:local|session)Storage|location|navigator|performance|window)\b/,alias:"variable"},console:{pattern:/\bconsole(?=\s*\.)/,alias:"class-name"}});for(var n=["function","function-variable","method","method-variable","property-access"],r=0;r*\.{3}(?:[^{}]|)*\})/.source;function a(e,t){return e=e.replace(//g,(function(){return n})).replace(//g,(function(){return r})).replace(//g,(function(){return o})),RegExp(e,t)}function i(t){for(var n=[],r=0;r"!==o.content[o.content.length-1].content&&n.push({tagName:l(o.content[0].content[1]),openedBraces:0}):0+(?:[\w.:$-]+(?:=(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s{'"/>=]+|))?|))**\/?)?>/.source),e.languages.jsx.tag.inside.tag.pattern=/^<\/?[^\s>\/]*/,e.languages.jsx.tag.inside["attr-value"].pattern=/=(?!\{)(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s'">]+)/,e.languages.jsx.tag.inside.tag.inside["class-name"]=/^[A-Z]\w*(?:\.[A-Z]\w*)*$/,e.languages.jsx.tag.inside.comment=t.comment,e.languages.insertBefore("inside","attr-name",{spread:{pattern:a(//.source),inside:e.languages.jsx}},e.languages.jsx.tag),e.languages.insertBefore("inside","special-attr",{script:{pattern:a(/=/.source),alias:"language-javascript",inside:{"script-punctuation":{pattern:/^=(?=\{)/,alias:"punctuation"},rest:e.languages.jsx}}},e.languages.jsx.tag);var l=function(e){return e?"string"==typeof e?e:"string"==typeof e.content?e.content:e.content.map(l).join(""):""};e.hooks.add("after-tokenize",(function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)}))}(A),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete e.languages.tsx["literal-property"],e.languages.tsx.tag)).pattern=RegExp(/(^|[^\w$]|(?=<\/))/.source+"(?:"+t.pattern.source+")",t.pattern.flags),t.lookbehind=!0}(A),A.languages.swift={comment:{pattern:/(^|[^\\:])(?:\/\/.*|\/\*(?:[^/*]|\/(?!\*)|\*(?!\/)|\/\*(?:[^*]|\*(?!\/))*\*\/)*\*\/)/,lookbehind:!0,greedy:!0},"string-literal":[{pattern:RegExp(/(^|[^"#])/.source+"(?:"+/"(?:\\(?:\((?:[^()]|\([^()]*\))*\)|\r\n|[^(])|[^\\\r\n"])*"/.source+"|"+/"""(?:\\(?:\((?:[^()]|\([^()]*\))*\)|[^(])|[^\\"]|"(?!""))*"""/.source+")"+/(?!["#])/.source),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\\($/,alias:"punctuation"},punctuation:/\\(?=[\r\n])/,string:/[\s\S]+/}},{pattern:RegExp(/(^|[^"#])(#+)/.source+"(?:"+/"(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|\r\n|[^#])|[^\\\r\n])*?"/.source+"|"+/"""(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|[^#])|[^\\])*?"""/.source+")\\2"),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\#+\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\#+\($/,alias:"punctuation"},string:/[\s\S]+/}}],directive:{pattern:RegExp(/#/.source+"(?:"+/(?:elseif|if)\b/.source+"(?:[ \t]*"+/(?:![ \t]*)?(?:\b\w+\b(?:[ \t]*\((?:[^()]|\([^()]*\))*\))?|\((?:[^()]|\([^()]*\))*\))(?:[ \t]*(?:&&|\|\|))?/.source+")+|"+/(?:else|endif)\b/.source+")"),alias:"property",inside:{"directive-name":/^#\w+/,boolean:/\b(?:false|true)\b/,number:/\b\d+(?:\.\d+)*\b/,operator:/!|&&|\|\||[<>]=?/,punctuation:/[(),]/}},literal:{pattern:/#(?:colorLiteral|column|dsohandle|file(?:ID|Literal|Path)?|function|imageLiteral|line)\b/,alias:"constant"},"other-directive":{pattern:/#\w+\b/,alias:"property"},attribute:{pattern:/@\w+/,alias:"atrule"},"function-definition":{pattern:/(\bfunc\s+)\w+/,lookbehind:!0,alias:"function"},label:{pattern:/\b(break|continue)\s+\w+|\b[a-zA-Z_]\w*(?=\s*:\s*(?:for|repeat|while)\b)/,lookbehind:!0,alias:"important"},keyword:/\b(?:Any|Protocol|Self|Type|actor|as|assignment|associatedtype|associativity|async|await|break|case|catch|class|continue|convenience|default|defer|deinit|didSet|do|dynamic|else|enum|extension|fallthrough|fileprivate|final|for|func|get|guard|higherThan|if|import|in|indirect|infix|init|inout|internal|is|isolated|lazy|left|let|lowerThan|mutating|none|nonisolated|nonmutating|open|operator|optional|override|postfix|precedencegroup|prefix|private|protocol|public|repeat|required|rethrows|return|right|safe|self|set|some|static|struct|subscript|super|switch|throw|throws|try|typealias|unowned|unsafe|var|weak|where|while|willSet)\b/,boolean:/\b(?:false|true)\b/,nil:{pattern:/\bnil\b/,alias:"constant"},"short-argument":/\$\d+\b/,omit:{pattern:/\b_\b/,alias:"keyword"},number:/\b(?:[\d_]+(?:\.[\de_]+)?|0x[a-f0-9_]+(?:\.[a-f0-9p_]+)?|0b[01_]+|0o[0-7_]+)\b/i,"class-name":/\b[A-Z](?:[A-Z_\d]*[a-z]\w*)?\b/,function:/\b[a-z_]\w*(?=\s*\()/i,constant:/\b(?:[A-Z_]{2,}|k[A-Z][A-Za-z_]+)\b/,operator:/[-+*/%=!<>&|^~?]+|\.[.\-+*/%=!<>&|^~?]+/,punctuation:/[{}[\]();,.:\\]/},A.languages.swift["string-literal"].forEach((function(e){e.inside.interpolation.inside=A.languages.swift})),function(e){e.languages.kotlin=e.languages.extend("clike",{keyword:{pattern:/(^|[^.])\b(?:abstract|actual|annotation|as|break|by|catch|class|companion|const|constructor|continue|crossinline|data|do|dynamic|else|enum|expect|external|final|finally|for|fun|get|if|import|in|infix|init|inline|inner|interface|internal|is|lateinit|noinline|null|object|open|operator|out|override|package|private|protected|public|reified|return|sealed|set|super|suspend|tailrec|this|throw|to|try|typealias|val|var|vararg|when|where|while)\b/,lookbehind:!0},function:[{pattern:/(?:`[^\r\n`]+`|\b\w+)(?=\s*\()/,greedy:!0},{pattern:/(\.)(?:`[^\r\n`]+`|\w+)(?=\s*\{)/,lookbehind:!0,greedy:!0}],number:/\b(?:0[xX][\da-fA-F]+(?:_[\da-fA-F]+)*|0[bB][01]+(?:_[01]+)*|\d+(?:_\d+)*(?:\.\d+(?:_\d+)*)?(?:[eE][+-]?\d+(?:_\d+)*)?[fFL]?)\b/,operator:/\+[+=]?|-[-=>]?|==?=?|!(?:!|==?)?|[\/*%<>]=?|[?:]:?|\.\.|&&|\|\||\b(?:and|inv|or|shl|shr|ushr|xor)\b/}),delete e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(A),A.languages.c=A.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),A.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),A.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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A.languages.c.boolean,A.languages.objectivec=A.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete 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e={5354:0,1869:0};r.f.j=(a,c)=>{var f=r.o(e,a)?e[a]:void 0;if(0!==f)if(f)c.push(f[2]);else if(/^(1869|5354)$/.test(a))e[a]=0;else{var d=new Promise(((c,d)=>f=e[a]=[c,d]));c.push(f[2]=d);var b=r.p+r.u(a),t=new Error;r.l(b,(c=>{if(r.o(e,a)&&(0!==(f=e[a])&&(e[a]=void 0),f)){var d=c&&("load"===c.type?"missing":c.type),b=c&&c.target&&c.target.src;t.message="Loading chunk "+a+" failed.\n("+d+": "+b+")",t.name="ChunkLoadError",t.type=d,t.request=b,f[1](t)}}),"chunk-"+a,a)}},r.O.j=a=>0===e[a];var a=(a,c)=>{var f,d,b=c[0],t=c[1],o=c[2],n=0;if(b.some((a=>0!==e[a]))){for(f in t)r.o(t,f)&&(r.m[f]=t[f]);if(o)var i=o(r)}for(a&&a(c);n Screenshot-Driven Development | codename goose - - + +

Screenshot-Driven Development

· 5 min read
Rizel Scarlett
Rizel Scarlett
Staff Developer Advocate

calendar

diff --git a/blog/2024/12/06/previewing-goose-v10-beta/index.html b/blog/2024/12/06/previewing-goose-v10-beta/index.html index b72e82a48..7078b2a4d 100644 --- a/blog/2024/12/06/previewing-goose-v10-beta/index.html +++ b/blog/2024/12/06/previewing-goose-v10-beta/index.html @@ -5,8 +5,8 @@ Previewing Goose v1.0 Beta | codename goose - - + +

Previewing Goose v1.0 Beta

· 3 min read
Adewale Abati
Adewale Abati
Staff Developer Advocate

Goose v1.0 Beta diff --git a/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp/index.html b/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp/index.html index 1d998088d..0c17d587b 100644 --- a/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp/index.html +++ b/blog/2024/12/10/connecting-ai-agents-to-your-systems-with-mcp/index.html @@ -5,8 +5,8 @@ Connecting AI Agents to Your Systems with MCP - - + +

Connecting AI Agents to Your Systems with MCP

· 4 min read
Angie Jones
Angie Jones
Head of Developer Relations

mcp

diff --git a/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough/index.html b/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough/index.html index 6b1f37a0e..b39f720dc 100644 --- a/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough/index.html +++ b/blog/2024/12/11/resolving-ci-issues-with-goose-a-practical-walkthrough/index.html @@ -5,8 +5,8 @@ Resolving CI Issues with Goose: A Practical Walkthrough | codename goose - - + +

Resolving CI Issues with Goose: A Practical Walkthrough

· 4 min read
Dalton Turner
Dalton Turner
Software Engineer

CI

diff --git a/blog/2025/01/28/introducing-codename-goose/index.html b/blog/2025/01/28/introducing-codename-goose/index.html index 9e174b25f..1e82ecf14 100644 --- a/blog/2025/01/28/introducing-codename-goose/index.html +++ b/blog/2025/01/28/introducing-codename-goose/index.html @@ -5,8 +5,8 @@ Introducing codename goose | codename goose - - + +

Introducing codename goose

· 3 min read
Adewale Abati
Adewale Abati
Staff Developer Advocate

Introducing codename goose

diff --git a/blog/2025/02/17/agentic-ai-mcp/index.html b/blog/2025/02/17/agentic-ai-mcp/index.html index 435d88bfb..5a30a944a 100644 --- a/blog/2025/02/17/agentic-ai-mcp/index.html +++ b/blog/2025/02/17/agentic-ai-mcp/index.html @@ -5,8 +5,8 @@ Agentic AI and the MCP Ecosystem | codename goose - - + +

Agentic AI and the MCP Ecosystem

· 7 min read
Angie Jones
Angie Jones
Head of Developer Relations

blog banner

@@ -86,8 +86,9 @@

MCP Ecosystem<

"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp"

+

Pretty powerful, right?!

Get Started with AI Agents​

-

Pretty powerful, right?! Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

+

Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

diff --git a/blog/archive/index.html b/blog/archive/index.html index 6630613d9..3d6474774 100644 --- a/blog/archive/index.html +++ b/blog/archive/index.html @@ -5,8 +5,8 @@ Archive | codename goose - - + +

Archive

Archive

2025​

2024​

diff --git a/blog/atom.xml b/blog/atom.xml index cc439a6f2..dd6b6ad3e 100644 --- a/blog/atom.xml +++ b/blog/atom.xml @@ -90,8 +90,9 @@

"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp"

+

Pretty powerful, right?!

Get Started with AI Agents​

-

Pretty powerful, right?! Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

+

Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

]]> Angie Jones diff --git a/blog/authors/adewale/index.html b/blog/authors/adewale/index.html index e5da202db..000b1eaa6 100644 --- a/blog/authors/adewale/index.html +++ b/blog/authors/adewale/index.html @@ -5,8 +5,8 @@ Adewale Abati - 2 posts | codename goose - - + +
Adewale Abati

Adewale Abati

Staff Developer Advocate
View all authors

Introducing codename goose

· 3 min read
Adewale Abati
Adewale Abati
Staff Developer Advocate

Introducing codename goose

diff --git a/blog/authors/angie/index.html b/blog/authors/angie/index.html index 330baf6de..594584652 100644 --- a/blog/authors/angie/index.html +++ b/blog/authors/angie/index.html @@ -5,8 +5,8 @@ Angie Jones - 2 posts | codename goose - - + +
Angie Jones

Angie Jones

Head of Developer Relations
View all authors

Agentic AI and the MCP Ecosystem

· 7 min read
Angie Jones
Angie Jones
Head of Developer Relations

blog banner

diff --git a/blog/authors/dalton/index.html b/blog/authors/dalton/index.html index 62a628358..d40a9a0dc 100644 --- a/blog/authors/dalton/index.html +++ b/blog/authors/dalton/index.html @@ -5,8 +5,8 @@ Dalton Turner - One post | codename goose - - + +
Dalton Turner

Dalton Turner

Software Engineer
View all authors

Resolving CI Issues with Goose: A Practical Walkthrough

· 4 min read
Dalton Turner
Dalton Turner
Software Engineer

CI

diff --git a/blog/authors/ebony/index.html b/blog/authors/ebony/index.html index 51c2a92ed..bedfc0e7a 100644 --- a/blog/authors/ebony/index.html +++ b/blog/authors/ebony/index.html @@ -5,8 +5,8 @@ Ebony Louis - 0 posts | codename goose - - + +
Ebony Louis

Ebony Louis

Developer Advocate
View all authors

This author has not written any posts yet.

diff --git a/blog/authors/index.html b/blog/authors/index.html index 2929df2bb..9675aa86e 100644 --- a/blog/authors/index.html +++ b/blog/authors/index.html @@ -5,8 +5,8 @@ Authors | codename goose - - + +

Authors

diff --git a/blog/authors/rizel/index.html b/blog/authors/rizel/index.html index fd053bfe5..4d5571a8b 100644 --- a/blog/authors/rizel/index.html +++ b/blog/authors/rizel/index.html @@ -5,8 +5,8 @@ Rizel Scarlett - One post | codename goose - - + +
Rizel Scarlett

Rizel Scarlett

Staff Developer Advocate
View all authors

Screenshot-Driven Development

· 5 min read
Rizel Scarlett
Rizel Scarlett
Staff Developer Advocate

calendar

diff --git a/blog/authors/tania/index.html b/blog/authors/tania/index.html index 965eb1a77..485926b8e 100644 --- a/blog/authors/tania/index.html +++ b/blog/authors/tania/index.html @@ -5,8 +5,8 @@ Tania Chakraborty - 0 posts | codename goose - - + +
Tania Chakraborty

Tania Chakraborty

Senior Technical Community Manager
View all authors

This author has not written any posts yet.

diff --git a/blog/index.html b/blog/index.html index ce516f44d..8e62e8102 100644 --- a/blog/index.html +++ b/blog/index.html @@ -5,8 +5,8 @@ Blog | codename goose - - + +

Agentic AI and the MCP Ecosystem

· 7 min read
Angie Jones
Angie Jones
Head of Developer Relations

blog banner

diff --git a/blog/rss.xml b/blog/rss.xml index 3c816efed..b721cbccb 100644 --- a/blog/rss.xml +++ b/blog/rss.xml @@ -91,8 +91,9 @@

"Based on the figma design with file ID XYZ, build a web app in WebStorm and commit the code to a new GitHub repo named angiejones/myapp"

+

Pretty powerful, right?!

Get Started with AI Agents​

-

Pretty powerful, right?! Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

+

Hopefully this has provided clear insight into what are AI agents, how they work, and what they can enable for you. Goose is free and open source and you can add as many extensions as you desire. This is a great way to get started with AI agents and see how they can automate tasks in your workflow to make you more efficient.

]]> diff --git a/docs/category/architecture-overview/index.html b/docs/category/architecture-overview/index.html index 6fb779731..a907518bf 100644 --- a/docs/category/architecture-overview/index.html +++ b/docs/category/architecture-overview/index.html @@ -5,8 +5,8 @@ Architecture Overview | codename goose - - + +

Architecture Overview

Extend Goose functionalities with extensions and custom configurations

diff --git a/docs/category/getting-started/index.html b/docs/category/getting-started/index.html index 68760ecaf..1bdbcb96c 100644 --- a/docs/category/getting-started/index.html +++ b/docs/category/getting-started/index.html @@ -5,8 +5,8 @@ Getting Started | codename goose - - + +

Getting Started

Get up to speed quickly with Goose

diff --git a/docs/category/guides/index.html b/docs/category/guides/index.html index cb23d0c78..fd83cf05f 100644 --- a/docs/category/guides/index.html +++ b/docs/category/guides/index.html @@ -5,8 +5,8 @@ Guides | codename goose - - + +

Guides

Learn essential tips and recommendations for using Goose

diff --git a/docs/category/tutorials/index.html b/docs/category/tutorials/index.html index 14cc669d9..c408d1710 100644 --- a/docs/category/tutorials/index.html +++ b/docs/category/tutorials/index.html @@ -5,8 +5,8 @@ Tutorials | codename goose - - + +

Tutorials

How to integrate and use MCP servers as Goose extensions

diff --git a/docs/getting-started/installation/index.html b/docs/getting-started/installation/index.html index d4cfe5956..31a35e111 100644 --- a/docs/getting-started/installation/index.html +++ b/docs/getting-started/installation/index.html @@ -5,8 +5,8 @@ Install Goose | codename goose - - + +

Install Goose

diff --git a/docs/getting-started/providers/index.html b/docs/getting-started/providers/index.html index 575281518..54e51cabe 100644 --- a/docs/getting-started/providers/index.html +++ b/docs/getting-started/providers/index.html @@ -5,8 +5,8 @@ Configure LLM Provider | codename goose - - + +

Supported LLM Providers

@@ -14,7 +14,7 @@
Model Selection

Goose relies heavily on tool calling capabilities and currently works best with Anthropic's Claude 3.5 Sonnet and OpenAI's GPT-4o (2024-11-20) model. Berkeley Function-Calling Leaderboard can be a good guide for selecting models.

Available Providers​

-
ProviderDescriptionParameters
Amazon BedrockOffers a variety of foundation models, including Claude, Jurassic-2, and others. Environment variables must be set in advance, not configured through goose configureAWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION
AnthropicOffers Claude, an advanced AI model for natural language tasks.ANTHROPIC_API_KEY
Azure OpenAIAccess Azure-hosted OpenAI models, including GPT-4 and GPT-3.5.AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_DEPLOYMENT_NAME
DatabricksUnified data analytics and AI platform for building and deploying models.DATABRICKS_HOST, DATABRICKS_TOKEN
GeminiAdvanced LLMs by Google with multimodal capabilities (text, images).GOOGLE_API_KEY
GroqHigh-performance inference hardware and tools for LLMs.GROQ_API_KEY
OllamaLocal model runner supporting Qwen, Llama, DeepSeek, and other open-source models. Because this provider runs locally, you must first download and run a model.OLLAMA_HOST
OpenAIProvides gpt-4o, o1, and other advanced language models. o1-mini and o1-preview are not supported because Goose uses tool calling.OPENAI_API_KEY
OpenRouterAPI gateway for unified access to various models with features like rate-limiting management.OPENROUTER_API_KEY
+
ProviderDescriptionParameters
Amazon BedrockOffers a variety of foundation models, including Claude, Jurassic-2, and others. Environment variables must be set in advance, not configured through goose configureAWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION
AnthropicOffers Claude, an advanced AI model for natural language tasks.ANTHROPIC_API_KEY
Azure OpenAIAccess Azure-hosted OpenAI models, including GPT-4 and GPT-3.5.AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_DEPLOYMENT_NAME
DatabricksUnified data analytics and AI platform for building and deploying models.DATABRICKS_HOST, DATABRICKS_TOKEN
GeminiAdvanced LLMs by Google with multimodal capabilities (text, images).GOOGLE_API_KEY
GroqHigh-performance inference hardware and tools for LLMs.GROQ_API_KEY
OllamaLocal model runner supporting Qwen, Llama, DeepSeek, and other open-source models. Because this provider runs locally, you must first download and run a model.OLLAMA_HOST
OpenAIProvides gpt-4o, o1, and other advanced language models. Also supports OpenAI-compatible endpoints (e.g., self-hosted LLaMA, vLLM, KServe). o1-mini and o1-preview are not supported because Goose uses tool calling.OPENAI_API_KEY, OPENAI_HOST (optional), OPENAI_ORGANIZATION (optional), OPENAI_PROJECT (optional)
OpenRouterAPI gateway for unified access to various models with features like rate-limiting management.OPENROUTER_API_KEY

Configure Provider​

To configure your chosen provider or see available options, run goose configure in the CLI or visit the Provider Settings page in the Goose Desktop.

    @@ -39,7 +39,49 @@

    Configure
  1. Scroll down to Add Model
  2. Select a Provider from drop down menu
  3. Enter Model name and press + Add Model
    4. -

You can explore more models by selecting a provider name under Browse by Provider. A link will appear, directing you to the provider’s website. Once you've found the model you want, return to step 6 and paste the model name.

+

You can explore more models by selecting a provider name under Browse by Provider. A link will appear, directing you to the provider's website. Once you've found the model you want, return to step 6 and paste the model name.

+

Using Custom OpenAI Endpoints​

+

Goose supports using custom OpenAI-compatible endpoints, which is particularly useful for:

+
    +
  • Self-hosted LLMs (e.g., LLaMA, Mistral) using vLLM or KServe
    • +
  • Private OpenAI-compatible API servers
    • +
  • Enterprise deployments requiring data governance and security compliance
    • +
  • OpenAI API proxies or gateways
    • +
+

Configuration Parameters​

+
ParameterRequiredDescription
OPENAI_API_KEYYesAuthentication key for the API
OPENAI_HOSTNoCustom endpoint URL (defaults to api.openai.com)
OPENAI_ORGANIZATIONNoOrganization ID for usage tracking and governance
OPENAI_PROJECTNoProject identifier for resource management
+

Example Configurations​

+

If you're running LLaMA or other models using vLLM with OpenAI compatibility:

OPENAI_HOST=https://your-vllm-endpoint.internal
OPENAI_API_KEY=your-internal-api-key
+

Setup Instructions​

+
    +
  1. Run goose configure
    2. +
  2. Select Configure Providers
    3. +
  3. Choose OpenAI as the provider
    4. +
  4. Enter your configuration when prompted: +
      +
    • API key
      • +
    • Host URL (if using custom endpoint)
      • +
    • Organization ID (if using organization tracking)
      • +
    • Project identifier (if using project management)
      • +
    +
    5. +
+
Enterprise Deployment

For enterprise deployments, you can pre-configure these values using environment variables or configuration files to ensure consistent governance across your organization.

Using Goose for Free​

Goose is a free and open source AI agent that you can start using right away, but not all supported LLM Providers provide a free tier.

Below, we outline a couple of free options and how to get started with them.

@@ -115,7 +157,7 @@

DeepSeek-R1Enter michaelneale/deepseek-r1-goose for the model name.

-

If you have any questions or need help with a specific provider, feel free to reach out to us on Discord or on the Goose repo.

+

If you have any questions or need help with a specific provider, feel free to reach out to us on Discord or on the Goose repo.

diff --git a/docs/getting-started/using-extensions/index.html b/docs/getting-started/using-extensions/index.html index d6a441242..ab51220cd 100644 --- a/docs/getting-started/using-extensions/index.html +++ b/docs/getting-started/using-extensions/index.html @@ -5,8 +5,8 @@ Using Extensions | codename goose - - + +

Using Extensions

Extensions are add-ons that provide a way to extend the functionality of Goose by connecting with applications and tools you already use in your workflow. These extensions can be used to add new features, access data and resources, or integrate with other systems.

diff --git a/docs/goose-architecture/error-handling/index.html b/docs/goose-architecture/error-handling/index.html index 902b5e3c3..71fdb7a56 100644 --- a/docs/goose-architecture/error-handling/index.html +++ b/docs/goose-architecture/error-handling/index.html @@ -5,8 +5,8 @@ Error Handling | codename goose - - + +

Error Handling in Goose

diff --git a/docs/goose-architecture/extensions-design/index.html b/docs/goose-architecture/extensions-design/index.html index f4711ba92..e7bb4cfdd 100644 --- a/docs/goose-architecture/extensions-design/index.html +++ b/docs/goose-architecture/extensions-design/index.html @@ -5,8 +5,8 @@ Extensions Design | codename goose - - + +

Extensions Design

diff --git a/docs/goose-architecture/index.html b/docs/goose-architecture/index.html index df0e89ace..eda1368bd 100644 --- a/docs/goose-architecture/index.html +++ b/docs/goose-architecture/index.html @@ -5,8 +5,8 @@ Goose Architecture | codename goose - - + +

Goose Architecture

diff --git a/docs/guides/file-management/index.html b/docs/guides/file-management/index.html index fbe637355..80affed15 100644 --- a/docs/guides/file-management/index.html +++ b/docs/guides/file-management/index.html @@ -5,8 +5,8 @@ File Management | codename goose - - + +

File Management

diff --git a/docs/guides/goose-cli-commands/index.html b/docs/guides/goose-cli-commands/index.html index dd32f05f0..a144e5f31 100644 --- a/docs/guides/goose-cli-commands/index.html +++ b/docs/guides/goose-cli-commands/index.html @@ -5,8 +5,8 @@ CLI Commands | codename goose - - + +

CLI Commands

diff --git a/docs/guides/handling-llm-rate-limits-with-goose/index.html b/docs/guides/handling-llm-rate-limits-with-goose/index.html index bb0c878c6..f50045f69 100644 --- a/docs/guides/handling-llm-rate-limits-with-goose/index.html +++ b/docs/guides/handling-llm-rate-limits-with-goose/index.html @@ -5,8 +5,8 @@ LLM Rate Limits | codename goose - - + +

Handling LLM Rate Limits

diff --git a/docs/guides/managing-goose-sessions/index.html b/docs/guides/managing-goose-sessions/index.html index 50d192b86..077dafebc 100644 --- a/docs/guides/managing-goose-sessions/index.html +++ b/docs/guides/managing-goose-sessions/index.html @@ -5,8 +5,8 @@ Managing Sessions | codename goose - - + +

Managing Goose Sessions

diff --git a/docs/guides/tips/index.html b/docs/guides/tips/index.html index 91a0a2dcb..d10239685 100644 --- a/docs/guides/tips/index.html +++ b/docs/guides/tips/index.html @@ -5,8 +5,8 @@ Quick Tips | codename goose - - + +

Quick Tips

Here is a collection of tips for working with Goose:

diff --git a/docs/guides/using-goosehints/index.html b/docs/guides/using-goosehints/index.html index 9fef328b3..8e99dd6c8 100644 --- a/docs/guides/using-goosehints/index.html +++ b/docs/guides/using-goosehints/index.html @@ -5,8 +5,8 @@ Using Goosehints | codename goose - - + +

Providing Hints to Goose

diff --git a/docs/quickstart/index.html b/docs/quickstart/index.html index 4782aa943..b72cafcc8 100644 --- a/docs/quickstart/index.html +++ b/docs/quickstart/index.html @@ -5,8 +5,8 @@ Quickstart | codename goose - - + +

Goose in 5 minutes

diff --git a/docs/troubleshooting/index.html b/docs/troubleshooting/index.html index fa2c99b1b..771f6b634 100644 --- a/docs/troubleshooting/index.html +++ b/docs/troubleshooting/index.html @@ -5,8 +5,8 @@ Troubleshooting | codename goose - - + +

Troubleshooting

@@ -65,9 +65,9 @@

API Errors

For detailed steps on updating your LLM provider, refer to the Installation Guide.

-

Remove Cached Data​

-

Goose stores data in a few places. Secrets, such as API keys, are stored exclusively in the system keychain. -Logs and configuration data are stored in ~/.config/goose. And the app stores a small amount of data in +

Uninstall Goose or Remove Cached Data​

+

You may need to uninstall Goose or clear existing data before re-installing. Goose stores data in a few places. Secrets, such as API keys, are stored exclusively in the system keychain.

+

Logs and configuration data are stored in ~/.config/goose. And the app stores a small amount of data in ~/Library/Application Support/Goose.

You can remove all of this data by following these steps.

    @@ -78,7 +78,10 @@

    Remove Ca
  • open the keychain and delete the credential called "goose", which contains all secrets stored by goose
  • rm -rf ~/.config/goose
    • -
  • For the App on macOS, rm -rf ~/Library/Application Support/Goose
    • +

+

If you are using Goose Desktop on macOS, you may also need to remove the app itself.

+
    +
  • rm -rf ~/Library/Application Support/Goose
  • Delete the "Goose" app from your Applications folder

After this cleanup, if you are looking to try out a fresh install of Goose, you can now start from the usual @@ -103,8 +106,8 @@

Package Runn

... it signals that the extension may not have been installed and you need the package runner in order to do so.

An example is the GitHub extension whose command is npx -y @modelcontextprotocol/server-github. You'd need Node.js installed on your system to run this command, as it uses npx.

-

macOS Permission Issues (M3 Macs)​

-

If you encounter an issue where the Goose desktop app shows no window on launch, it may be due to file and folder permissions. This typically happens because Goose needs read and write access to the ~/.config directory to create its log directory and file.

+

macOS Permission Issues​

+

If you encounter an issue where the Goose Desktop app shows no window on launch, it may be due to file and folder permissions. This typically happens because Goose needs read and write access to the ~/.config directory to create its log directory and file.

How to Check and Fix Permissions:​

  1. Open Terminal.
    2. @@ -125,6 +128,9 @@ 

    ls -ld ~/.config

+

If you still experience issues after fixing permissions, try launching Goose with superuser (admin) privileges:

+
sudo /Applications/Goose.app/Contents/MacOS/Goose
+
note

Running Goose with sudo may create files owned by root, which could lead to further permission issues. Use this as a troubleshooting step rather than a permanent fix.

Connection Error with Ollama Provider on WSL​

If you encounter an error like this when setting up Ollama as the provider in Goose:

@@ -142,7 +148,7 @@

Need Further Help?​

-

If you have questions, run into issues, or just need to brainstorm ideas join the Discord Community!

+

If you have questions, run into issues, or just need to brainstorm ideas join the Discord Community!

diff --git a/docs/tutorials/custom-extensions/index.html b/docs/tutorials/custom-extensions/index.html index 699dd18c6..034ddc4b4 100644 --- a/docs/tutorials/custom-extensions/index.html +++ b/docs/tutorials/custom-extensions/index.html @@ -5,8 +5,8 @@ Building Custom Extensions | codename goose - - + +

Building Custom Extensions with Goose

diff --git a/docs/tutorials/developer-mcp/index.html b/docs/tutorials/developer-mcp/index.html index 0232f0e0d..b846b418d 100644 --- a/docs/tutorials/developer-mcp/index.html +++ b/docs/tutorials/developer-mcp/index.html @@ -5,8 +5,8 @@ Developer Extension | codename goose - - + +

Developer Extension

🎥Plug & Play
Watch the demo
diff --git a/docs/tutorials/fetch-mcp/index.html b/docs/tutorials/fetch-mcp/index.html index a262ed508..ff1b545e0 100644 --- a/docs/tutorials/fetch-mcp/index.html +++ b/docs/tutorials/fetch-mcp/index.html @@ -5,8 +5,8 @@ Fetch Extension | codename goose - - + +

Fetch Extension

🎥Plug & Play
Watch the demo
diff --git a/docs/tutorials/figma-mcp/index.html b/docs/tutorials/figma-mcp/index.html index 48bdaf958..586c13739 100644 --- a/docs/tutorials/figma-mcp/index.html +++ b/docs/tutorials/figma-mcp/index.html @@ -5,11 +5,12 @@ Figma Extension | codename goose - - + + -

Figma Extension

This tutorial covers how to add the Figma MCP Server as a Goose extension to enable interaction with Figma files, designs, and components.

+

Figma Extension

🎥Plug & Play
Watch the demo
+

This tutorial covers how to add the Figma MCP Server as a Goose extension to enable interaction with Figma files, designs, and components.

TLDR

Command

npx @hapins/figma-mcp

Environment Variable

FIGMA_ACCESS_TOKEN: <YOUR_TOKEN>
info

Note that you'll need Node.js installed on your system to run this command, as it uses npx.

Configuration​

diff --git a/docs/tutorials/github-mcp/index.html b/docs/tutorials/github-mcp/index.html index 524905b10..0fb074604 100644 --- a/docs/tutorials/github-mcp/index.html +++ b/docs/tutorials/github-mcp/index.html @@ -5,8 +5,8 @@ GitHub Extension | codename goose - - + +

GitHub Extension

🎥Plug & Play
Watch the demo
diff --git a/docs/tutorials/google-drive-mcp/index.html b/docs/tutorials/google-drive-mcp/index.html index 4b53d6d09..a4fb3a2bd 100644 --- a/docs/tutorials/google-drive-mcp/index.html +++ b/docs/tutorials/google-drive-mcp/index.html @@ -5,8 +5,8 @@ Google Drive Extension | codename goose - - + +

Google Drive Extension

🎥Plug & Play
Watch the demo
diff --git a/docs/tutorials/jetbrains-mcp/index.html b/docs/tutorials/jetbrains-mcp/index.html index ecd67068f..20d7af6b6 100644 --- a/docs/tutorials/jetbrains-mcp/index.html +++ b/docs/tutorials/jetbrains-mcp/index.html @@ -5,8 +5,8 @@ JetBrains Extension | codename goose - - + +

JetBrains Extension

🎥Plug & Play
Watch the demo
diff --git a/docs/tutorials/langfuse/index.html b/docs/tutorials/langfuse/index.html index 20da041d8..84281e96a 100644 --- a/docs/tutorials/langfuse/index.html +++ b/docs/tutorials/langfuse/index.html @@ -5,8 +5,8 @@ Observability with Langfuse | codename goose - - + +

Observability with Langfuse

diff --git a/docs/tutorials/memory-mcp/index.html b/docs/tutorials/memory-mcp/index.html index f200a18ab..87cc7c1cb 100644 --- a/docs/tutorials/memory-mcp/index.html +++ b/docs/tutorials/memory-mcp/index.html @@ -5,11 +5,11 @@ Memory Extension | codename goose - - + + -

Memory Extension

The Memory extension turns Goose into a knowledgeable assistant by allowing you to teach it personalized key information (e.g. commands, code snippets, preferences and configurations) that it can recall and apply later. Whether it’s project-specific (local) or universal (global) knowledge, Goose learns and remembers what matters most to you.

+

Memory Extension

The Memory extension turns Goose into a knowledgeable assistant by allowing you to teach it personalized key information (e.g. commands, code snippets, preferences and configurations) that it can recall and apply later. Whether it’s project-specific (local) or universal (global) knowledge, Goose learns and remembers what matters most to you.

This tutorial covers enabling and using the Memory MCP Server, which is a built-in Goose extension.

Configuration​

    @@ -28,10 +28,13 @@

    Configuration<

Why Use Memory?​

With the Memory extension, you’re not just storing static notes, you’re teaching Goose how to assist you better. Imagine telling Goose:

-
    -
  • "Goose, learn everything about MCP servers and save it to memory."
    • -
  • Later, you can ask: "Goose, utilizing our MCP server knowledge help me build an MCP server."
    • -
+
+

learn everything about MCP servers and save it to memory.

+
+

Later, you can ask:

+
+

utilizing our MCP server knowledge help me build an MCP server.

+

Goose will recall everything you’ve saved as long as you instruct it to remember. This makes it easier to have consistent results when working with Goose.

Example Usage​

In this example, I’ll show you how to make Goose a knowledgeable development assistant by teaching it about your project’s API standards. With the Memory extension, Goose can store structured information and retrieve it later to help with your tasks.

diff --git a/index.html b/index.html index 2258349fb..e44f7d502 100644 --- a/index.html +++ b/index.html @@ -5,8 +5,8 @@ codename goose | codename goose - - + +

Your on-machine AI agent, automating engineering tasks seamlessly.

install goose

Open Source

Built with transparency and collaboration in mind, goose empowers developers to contribute, customize, and innovate freely.

Runs Locally

Goose runs locally to execute tasks efficiently, keeping control in your hands.

Extensible

Customize goose with your preferred LLM and enhance its capabilities by connecting it to any external MCP server or API.

Autonomous

Goose independently handles complex tasks, from debugging to deployment, freeing you to focus on what matters most.

Meet Codename Goose

Loved by engineers

With Goose, I feel like I am Maverick. Thanks a ton for creating this. 🙏 I have been having way too much fun with it today.

Prem Pillai's profile picture
Prem Pillai
Software Engineer

I wanted to construct some fake data for an API with a large request body and business rules I haven't memorized. So I told Goose which object to update and a test to run that calls the vendor. Got it to use the errors descriptions from the vendor response to keep correcting the request until it was successful. So good!

Jarrod Sibbison's profile picture
Jarrod Sibbison
Software Engineer

I asked Goose to write up a few Google Scripts that mimic Clockwise's functionality (particularly, creating blocks on my work calendar based on events in my personal calendar, as well as color-coding calendar entries based on type and importance). Took me under an hour. If you haven't tried Goose yet, I highly encourage you to do so!

Manik Surtani's profile picture
Manik Surtani
Head of Open Source

If anyone was looking for another reason to check it out: I just asked Goose to break a string-array into individual string resources across eleven localizations, and it performed amazingly well and saved me a bunch of time doing it manually or figuring out some way to semi-automate it.

Andrey Bolduzev's profile picture
Andrey Bolduzev
Android Engineer

Hi team, thank you for much for making Goose, it's so amazing. Our team is working on migrating Dashboard components to React components. I am working with Goose to help the migration.

Kang Huang's profile picture
Kang Huang
Software Engineer

Wanted to document what I had Goose do -- took about 30 minutes end to end! I created a custom CLI command in the gh CLI library to download in-line comments on PRs about code changes (currently they aren't directly viewable). I don't know Go that well and I definitely didn't know where to start looking in the code base or how to even test the new command was working and Goose did it all for me 😁

Lily Delalande's profile picture
Lily Delalande
Software Engineer

My sister had been asking me for months to help her build a Google Docs extension but I kept putting it off. Today, we hopped on FaceTime and built one in just 30 minutes with Goose!

Rizel Scarlett's profile picture
Rizel Scarlett
Developer Advocate
diff --git a/markdown-page/index.html b/markdown-page/index.html index b0a94d3d6..7c528f184 100644 --- a/markdown-page/index.html +++ b/markdown-page/index.html @@ -5,8 +5,8 @@ Markdown page example | codename goose - - + +

Markdown page example