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Add Riza Agent #27
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| --- | ||
| description: Guidelines for writing Agentuity AI Agents in TypeScript | ||
| globs: "**/src/agents/**/index.ts" | ||
| alwaysApply: true | ||
| --- | ||
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| # AI Agent File | ||
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| - Prefer using the `agentuity agent create` command to create a new Agent | ||
| - Prefer loading types from the node modules package `@agentuity/sdk` in the node_modules folder | ||
| - The file should export a default function | ||
| - Prefer naming the default function Agent or the name of the Agent based on the context of the Agent description | ||
| - All code should be in Typescript format | ||
| - Use the provided logger from the `AgentContext` interface such as `ctx.logger.info("my message: %s", "hello")` | ||
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| ## Example Agent File | ||
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| ```typescript | ||
| import type { AgentRequest, AgentResponse, AgentContext } from "@agentuity/sdk"; | ||
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| export default async function Agent(req: AgentRequest, resp: AgentResponse, ctx: AgentContext) { | ||
| return resp.json({hello: 'world'}); | ||
| } | ||
| ``` | ||
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| ### AgentRequest | ||
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| The AgentRequest interface provides a set of helper methods and public variables which can be used for working with data has been passed to the Agent. | ||
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| ### AgentResponse | ||
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| The AgentResponse interface provides a set of helper methods for responding with different data formats from the Agent. | ||
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| ### AgentContext | ||
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| The AgentContext has information specific to the incoming Agent request and a set of helper methods for accessing AI services like KeyValue storage and Vector storage. |
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| --- | ||
| description: Guidelines for the Agentuity AI Configuration file | ||
| globs: "agentuity.yaml" | ||
| alwaysApply: true | ||
| --- | ||
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| # Agentuity Configuration File | ||
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| This file is used by Agentuity to configure the AI Agent project. You should NOT suggest edits to this file. |
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| --- | ||
| description: Agentuity JavaScript SDK API Reference | ||
| globs: "src/agents/**/*.ts" | ||
| alwaysApply: false | ||
| --- | ||
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| # Agentuity JavaScript SDK | ||
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| The Agentuity JavaScript SDK provides a powerful framework for building AI agents in JavaScript and TypeScript. This cursor rules file helps you navigate the SDK's core interfaces and methods. | ||
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| ## Core Interfaces | ||
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| ### AgentHandler | ||
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| The main handler function type for an agent: | ||
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| ```typescript | ||
| type AgentHandler = ( | ||
| request: AgentRequest, | ||
| response: AgentResponse, | ||
| context: AgentContext | ||
| ) => Promise<AgentResponseType>; | ||
| ``` | ||
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| ### AgentRequest | ||
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| The `AgentRequest` interface provides methods for accessing request data: | ||
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| - `request.trigger`: Gets the trigger type of the request | ||
| - `request.metadata(key, defaultValue)`: Gets metadata associated with the request | ||
| - `request.get(key, defaultValue)`: Gets the metadata value of the request | ||
| - `request.data.contentType`: Gets the content type of the request payload | ||
| - `request.data.json(): Promise<Json>`: Gets the payload as a JSON object | ||
| - `request.data.text(): Promise<string>`: Gets the payload as a string | ||
| - `request.data.buffer(): Promise<ArrayBuffer>`: Gets the payload as a ArrayBuffer | ||
| - `request.data.binary(): Promise<ArrayBuffer>`: Gets the payload as a ArrayBuffer | ||
| - `request.data.object<T>: Promise<T>`: Gets the payload as a typed object | ||
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| ### AgentResponse | ||
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| The `AgentResponse` interface provides methods for creating responses: | ||
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| - `response.json(data, metadata)`: Creates a JSON response | ||
| - `response.text(data, metadata)`: Creates a text response | ||
| - `response.binary(data, metadata)`: Creates a binary response | ||
| - `response.html(data, metadata)`: Creates an HTML response | ||
| - `response.empty(metadata)`: Creates an empty response | ||
| - `response.handoff(agent, args?)`: Redirects to another agent within the same project | ||
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| ### AgentContext | ||
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| The `AgentContext` interface provides access to various capabilities: | ||
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| - `context.logger`: Logging functionality | ||
| - `context.kv`: Key-Value storage | ||
| - `context.vector`: Vector storage | ||
| - `context.getAgent(params)`: Gets a handle to a remote agent | ||
| - `context.tracer`: OpenTelemetry tracing | ||
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| ## Storage APIs | ||
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| ### Key-Value Storage | ||
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| Access through `context.kv`: | ||
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| - `context.kv.get(name, key)`: Retrieves a value | ||
| - `context.kv.set(name, key, value, params)`: Stores a value with optional params (KeyValueStorageSetParams) | ||
| - `context.kv.delete(name, key)`: Deletes a value | ||
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| ### Vector Storage | ||
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| Access through `context.vector`: | ||
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| - `context.vector.upsert(name, ...documents)`: Inserts or updates vectors | ||
| - `context.vector.search(name, params)`: Searches for vectors | ||
| - `context.vector.delete(name, ...ids)`: Deletes vectors | ||
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| ## Logging | ||
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| Access through `context.logger`: | ||
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| - `context.logger.debug(message, ...args)`: Logs a debug message | ||
| - `context.logger.info(message, ...args)`: Logs an informational message | ||
| - `context.logger.warn(message, ...args)`: Logs a warning message | ||
| - `context.logger.error(message, ...args)`: Logs an error message | ||
| - `context.logger.child(opts)`: Creates a child logger with additional context | ||
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| ## Best Practices | ||
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| - Use TypeScript for better type safety and IDE support | ||
| - Import types from `@agentuity/sdk` | ||
| - Use structured error handling with try/catch blocks | ||
| - Leverage the provided logger for consistent logging | ||
| - Use the storage APIs for persisting data | ||
| - Consider agent communication for complex workflows | ||
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| For complete documentation, visit: https://agentuity.dev/SDKs/javascript/api-reference |
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| # EditorConfig is awesome: https://EditorConfig.org | ||
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| # top-most EditorConfig file | ||
| root = true | ||
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| [*] | ||
| indent_style = tab | ||
| indent_size = 2 | ||
| end_of_line = lf | ||
| charset = utf-8 | ||
| trim_trailing_whitespace = false | ||
| insert_final_newline = false | ||
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| # You can obtain this from riza.io. | ||
| RIZA_API_KEY=riza_abc123 |
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| node_modules | ||||||||||||||
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| # output | ||||||||||||||
| out | ||||||||||||||
| dist | ||||||||||||||
| *.tgz | ||||||||||||||
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| # code coverage | ||||||||||||||
| coverage | ||||||||||||||
| *.lcov | ||||||||||||||
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| # logs | ||||||||||||||
| logs | ||||||||||||||
| _.log | ||||||||||||||
| report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json | ||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Typo in log file ignore pattern. Apply this diff: - logs
- _.log
+ logs
+ *.log📝 Committable suggestion
Suggested change
🤖 Prompt for AI Agents |
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| # dotenv environment variable files | ||||||||||||||
| .env | ||||||||||||||
| .env.development.local | ||||||||||||||
| .env.test.local | ||||||||||||||
| .env.production.local | ||||||||||||||
| .env.local | ||||||||||||||
| .env.production | ||||||||||||||
| .env.development | ||||||||||||||
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| # caches | ||||||||||||||
| .eslintcache | ||||||||||||||
| .cache | ||||||||||||||
| *.tsbuildinfo | ||||||||||||||
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| # IntelliJ based IDEs | ||||||||||||||
| .idea | ||||||||||||||
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| # Finder (MacOS) folder config | ||||||||||||||
| .DS_Store | ||||||||||||||
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| # don't commit the agentuity build folder | ||||||||||||||
| .agentuity | ||||||||||||||
| .agentuity-crash-*.json | ||||||||||||||
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| # Agentuity with Riza Example | ||
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| [](https://app.agentuity.com/deploy) | ||
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| This project showcases how you can execute code generated by LLMs with Riza. | ||
| This example uses the Anthropic SDK with tool calling. | ||
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| ## Implementation Details | ||
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| ### Tool Configuration | ||
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| The agent configures Claude (via Anthropic SDK) with a code execution tool that supports: | ||
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| - Python | ||
| - JavaScript | ||
| - Ruby | ||
| - PHP | ||
| - TypeScript | ||
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| ### Code Execution Flow | ||
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| 1. The agent receives a text prompt from the user | ||
| 2. Claude processes the prompt and may respond with: | ||
| - Regular text responses | ||
| - Code execution requests | ||
| 3. For code execution requests, Riza: | ||
| - Runs the code in a secure environment | ||
| - Returns both stdout or stderr (if applicable) | ||
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| ## Getting Started | ||
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| To run this example locally, | ||
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| 1. Clone this repository. | ||
| 2. Make sure you have installed the Agentuity CLI (`curl -fsS https://agentuity.sh | sh`) | ||
| 3. Run `agentuity project import` to import the project into your Agentuity account. | ||
| 4. Sign up for Riza and create an API key. Then you can put it in your `.env` file (match formatting in `.env.example`.) | ||
| 4. Run `agentuity dev` to start the local development server. | ||
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Comment on lines
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Correct duplicate step numbering. Steps 4 and 4 under "Getting Started" should be renumbered sequentially to maintain clarity. 🤖 Prompt for AI Agents |
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| To deploy this example, use the button above! | ||
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| ## Dependencies | ||
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| - `@agentuity/sdk` | ||
| - `@anthropic-ai/sdk` | ||
| - `@riza-io/api` | ||
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| # yaml-language-server: $schema=https://raw.githubusercontent.com/agentuity/cli/refs/heads/main/agentuity.schema.json | ||
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| # ------------------------------------------------ | ||
| # This file is generated by Agentuity | ||
| # You should check this file into version control | ||
| # ------------------------------------------------ | ||
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| # The version semver range required to run this project | ||
| version: '>=0.0.148' | ||
| # The ID of the project which is automatically generated | ||
| project_id: proj_54a1bf7abe4c64ca51ac01bdd0498328 | ||
| # The name of the project which is editable | ||
| name: agent-riza2 | ||
| # The description of the project which is editable | ||
| description: "" | ||
| # The development configuration for the project | ||
| development: | ||
| # The port to run the development server on which can be overridden by setting the PORT environment variable | ||
| port: 3500 | ||
| watch: | ||
| # Whether to watch for changes and automatically restart the server | ||
| enabled: true | ||
| # Rules for files to watch for changes | ||
| files: | ||
| - src/** | ||
| # The command to run the development server | ||
| command: node | ||
| # The arguments to pass to the development server | ||
| args: | ||
| - --env-file=.env | ||
| - --env-file-if-exists=.env.development | ||
| - --no-deprecation | ||
| - .agentuity/index.js | ||
| deployment: | ||
| command: node | ||
| args: | ||
| - --disable-sigusr1 | ||
| - --disallow-code-generation-from-strings | ||
| - --no-addons | ||
| - --no-deprecation | ||
| - --no-global-search-paths | ||
| - --report-uncaught-exception | ||
| - .agentuity/index.js | ||
| # You should tune the resources for the deployment | ||
| resources: | ||
| # The memory requirements | ||
| memory: 350Mi | ||
| # The CPU requirements | ||
| cpu: 500M | ||
| # The disk size requirements | ||
| disk: 250Mi | ||
| # You should not need to change these value | ||
| bundler: | ||
| enabled: true | ||
| identifier: nodejs | ||
| language: javascript | ||
| runtime: nodejs | ||
| agents: | ||
| dir: src/agents | ||
| ignore: | ||
| - node_modules/** | ||
| - dist/** | ||
| - src/** | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Bundler ignore pattern excludes source directory. The 🤖 Prompt for AI Agents |
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| # The agents that are part of this project | ||
| agents: | ||
| - # The ID of the Agent which is automatically generated | ||
| id: agent_c570eb8eb5ba873fee56087b4498fa51 | ||
| # The name of the Agent which is editable | ||
| name: agent-riza | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🛠️ Refactor suggestion Inconsistent agent naming. The agent is listed as 🤖 Prompt for AI Agents |
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| { | ||
| "$schema": "https://biomejs.dev/schemas/1.5.3/schema.json", | ||
| "organizeImports": { | ||
| "enabled": true | ||
| }, | ||
| "linter": { | ||
| "enabled": true, | ||
| "rules": { | ||
| "recommended": true | ||
| } | ||
| }, | ||
| "formatter": { | ||
| "enabled": true, | ||
| "indentStyle": "space", | ||
| "indentWidth": 2 | ||
| }, | ||
| "javascript": { | ||
| "formatter": { | ||
| "quoteStyle": "single", | ||
| "trailingCommas": "es5", | ||
| "semicolons": "always" | ||
| } | ||
| }, | ||
| "files": { | ||
| "ignore": [".agentuity/**"] | ||
| } | ||
| } |
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Inconsistent indentation style with
biome.json..editorconfigenforces tabs, whereasbiome.jsonuses spaces (indentStyle: space). Align both configurations to a single indentation strategy to avoid formatting conflicts.🤖 Prompt for AI Agents
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this would be good to have devin fix in template repo
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@jhaynie You're absolutely right - fixing this at the template level would prevent this inconsistency from appearing in all future agent projects. It's much better to address the root cause rather than fixing it project by project.
Would you like me to create an issue to track getting this EditorConfig/Biome indentation alignment fixed in the template repository? I can include the specific details about the conflict (tabs vs spaces) and reference this PR for context.
Also, just to make sure I target the right repository - is this referring to an internal Agentuity agent template repo, or should this issue be opened elsewhere?