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A Practical Guide to Building with the Claude Messages API

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If you are building an AI feature that needs more than a single prompt-and-response call, the shape of your API matters: you need conversation history, streaming output, image input, and a predictable way to let the model call your own functions. What you can do The Claude Messages API on Ace Data Cloud uses Anthropic's native Messages format at POST https://api.acedata.cloud/v1/messages . That makes it a good fit when you want to work with Claude-style request and response structures instead of forcing everything through an OpenAI-compatible chat schema. From the integration guide, the same endpoint supports several useful patterns: Basic text conversations with model , messages , and max_tokens . System-level behavior control through the system field. Streaming responses with stream: true and Server-Sent Events. Multi-turn conversation by passing prior user and assistant messages. Extended Thinking through a thinking object with type and budget_tokens ....
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How to Build an Async Image Generation Workflow with the Seedream Images API

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Image generation is easy to demo in a browser, but harder to ship in a real app: requests can take long enough that you need clear inputs, predictable response handling, and a way to avoid keeping HTTP connections open forever. This guide walks through a practical Seedream Images API workflow using the public Ace Data Cloud documentation as the source of truth. The goal is not to cover every visual prompt trick, but to show how a builder can wire generation, editing, async execution, and result handling into a product. What you can do The Seedream Images API lets you generate images by sending custom parameters to POST https://api.acedata.cloud/seedream/images . At minimum, the documented basic flow uses an action value of generate , a prompt , and a model such as doubao-seedream-5-0-260128 . The same documented integration also supports several production-oriented controls: model : a full model string, for example doubao-seedream-5-0-260128 . The documentation explicit...
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Getting Started with Claude Code in the Terminal Using Ace Data Cloud

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When you work in a real codebase, the fastest AI workflow is often not another browser tab. It is a terminal session inside the repository, where an agent can read context, inspect diffs, run commands, and help you make changes without breaking your flow. This guide walks through a practical setup for using claude , the Claude Code terminal CLI, with Ace Data Cloud as the API base. The goal is simple: install the CLI, point it at https://api.acedata.cloud , and use it for everyday development tasks such as code review, bug fixing, test writing, and project exploration. What you can do Claude Code’s terminal experience is built around the claude command. Once configured, you can start an interactive coding session from any project directory, run a one-off task, pipe code or logs into the agent, continue an earlier conversation, or ask it to help prepare a commit. Start an interactive session with claude . Run a single task with claude "fix build error" . Ask a q...
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Getting Started with Claude Code in the Terminal Using Ace Data Cloud

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When you work in a real codebase, the fastest AI workflow is often not another browser tab. It is a terminal session inside the repository, where an agent can read context, inspect diffs, run commands, and help you make changes without breaking your flow. This guide walks through a practical setup for using claude , the Claude Code terminal CLI, with Ace Data Cloud as the API base. The goal is simple: install the CLI, point it at https://api.acedata.cloud , and use it for everyday development tasks such as code review, bug fixing, test writing, and project exploration. What you can do Claude Code’s terminal experience is built around the claude command. Once configured, you can start an interactive coding session from any project directory, run a one-off task, pipe code or logs into the agent, continue an earlier conversation, or ask it to help prepare a commit. Start an interactive session with claude . Run a single task with claude "fix build error" . Ask a q...
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Интеграция Open WebUI с Ace Data Cloud: полное руководство для разработчиков

Интеграция Open WebUI с Ace Data Cloud: полное руководство для разработчиков Open WebUI — это мощный open-source клиент для работы с большими языковыми моделями, изначально созданный для команд и корпоративного использования. Платформа поддерживает мультипользовательский режим с RBAC, базы знаний с RAG, параллельное сравнение моделей и расширение через Pipelines. Ключевое преимущество Open WebUI — возможность полностью приватного развертывания и гибкая интеграция с OpenAI-совместимыми эндпоинтами. В этой статье мы рассмотрим, как подключить Open WebUI к Ace Data Cloud — единой платформе, предоставляющей доступ к более чем 60 современным LLM, включая Claude, GPT, Gemini, Grok, DeepSeek, Kimi и GLM через один API-токен. Получение API-токена Первый шаг — получение токена доступа в консоли Ace Data Cloud . После регистрации новым пользователям предоставляется бесплатная квота для тестирования сервиса. Процесс регистрации занимает минуту: если вы не авторизованы, система автомат...
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Getting Started with Claude Code in the Terminal via Ace Data Cloud

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When you want an AI coding assistant to work with the exact files, logs, and diffs already sitting in your terminal, a CLI-first workflow is often the least distracting way to do it. What you can do The Claude Code terminal CLI lets you open an interactive coding session from a project directory, run one-off prompts, continue a previous conversation, ask for code review from a diff, and keep project-specific instructions in a CLAUDE.md file. With Ace Data Cloud configured as the API base URL, the same claude command can route requests through https://api.acedata.cloud using your Ace Data Cloud API token. In practice, that means you can stay inside the shell while asking the agent to: Explain what a repository does before you start editing it. Fix a specific bug, such as empty form submissions. Write unit tests for existing functions. Review a git diff before you open a pull request. Create a commit message with claude commit . How it works Claude Code read...
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How to Use NanoBanana MCP in Cursor for Practical Image Editing

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Most developer image work is not about making a perfect artwork from scratch. It is usually smaller and more practical: clean up a screenshot, place a product cutout into a scene, turn a rough UI capture into a presentable blog image, or create a simple illustration for an error page. The useful question is: can you do that without leaving your editor? The Cursor integration with NanoBanana MCP is built for exactly that workflow. Instead of opening a separate image tool, downloading assets, and manually passing files around, you configure an MCP server once and then ask Cursor Agent to call image generation or editing tools directly from your project. What you can do The document describes two practical capabilities exposed through the NanoBanana MCP server: nanobanana_generate_image for text-to-image generation. nanobanana_edit_image for image editing, including multiple image inputs. The interesting part is the second one. NanoBanana is described as especially useful f...
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