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Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Files API url: https://platform.claude.com/docs/en/build-with-claude/files description: Upload files once, reference them by file_id in Messages requests, and download outputs created by skills or the code execution tool. featureMetadata: status: stable zdr: eligibility: not-eligible note: Files retained until explicitly deleted or they reach their configured expiration. supportedModels: - claude-fable-5-1 - claude-mythos-5-1 - claude-fable-5 - claude-mythos-5 - claude-mythos-preview - claude-opus-5-5 - claude-opus-5 - claude-sonnet-5-5 - claude-sonnet-5 - claude-haiku-5-5 - claude-
Anthropic · Claude Code 문서 · AI 마케팅 · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management. Subagents are specialized AI assistants that handle specific types of tasks. Use one when a side task would flood your main conversation with search results, logs, or file contents you won't reference again: the subagent does that work in its own context and returns only the summary. Define a custom subagent when you keep s
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Fast mode url: https://platform.claude.com/docs/en/build-with-claude/fast-mode description: Get up to 2.5x higher output tokens per second from supported Claude models. featureMetadata: betaHeader: fast-mode-2026-02-01 zdr: eligibility: eligible note: Excludes [Covered Models](https://platform.claude.com/docs/en/manage-claude/api-and-data-retention#model-specific-data-retention-requirements). Same Messages API endpoint with faster inference. ZDR applies regardless of speed setting. supportedModels: - claude-opus-5-5 - claude-opus-5 - claude-opus-4-8 supportedPlatforms: Claude API: s
Anthropic · Claude Code 문서 · AI 마케팅 · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Compare the ways Claude Code can take on multiple tasks at once: subagents, agent view, agent teams, dynamic workflows, and projects. Claude Code has five ways to work on several tasks at once: [subagents](https://code.claude.com/docs/en/sub-agents.md), [agent view](https://code.claude.com/docs/en/agent-view.md), [agent teams](https://code.claude.com/docs/en/agent-teams.md), [dynamic workflows](https://code.claude.com/docs/en/workflows.m
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Fallback credit url: https://platform.claude.com/docs/en/build-with-claude/fallback-credit description: Avoid paying the prompt-cache cost twice when you retry a refused request on another model. featureMetadata: status: beta betaHeader: fallback-credit-2026-07-01, server-side-fallback-2026-07-01, fallback-credit-2026-06-01 supportedModels: - claude-fable-5-1 - claude-mythos-5-1 - claude-fable-5 - claude-opus-5-5 - claude-opus-5 - claude-sonnet-5-5 supportedPlatforms: Claude API: beta Claude Platform on AWS: beta Amazon Bedrock: availability: beta note: On Amazon Bedrock and Google
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Learn about integrating Claude Code into your development workflow with GitLab CI/CD > [!NOTE] > > Claude Code for GitLab CI/CD is currently in beta. Features and functionality may evolve as we refine the experience. > > This integration is maintained by GitLab. For support, see the following [GitLab issue](https://gitlab.com/gitlab-org/gitlab/-/issues/573776). > [!NOTE] > > This integration is built on top of the [Claude Code CLI and Ag
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Extended thinking url: https://platform.claude.com/docs/en/build-with-claude/extended-thinking description: Configure manual extended thinking with a fixed budget_tokens budget on Claude models that support it, and migrate to adaptive thinking. featureMetadata: supportedModels: - claude-mythos-preview - claude-haiku-4-5-20251001 - claude-opus-4-6 - claude-sonnet-4-6 - claude-opus-4-5-20251101 - claude-sonnet-4-5-20250929 supportedPlatforms: Claude API: stable Claude Platform on AWS: stable Claude Models on Google Cloud (Anthropic managed): stable Amazon Bedrock: stable Amazon Bedroc
Anthropic · Claude Code 문서 · AI 마케팅 · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Run Claude Code GitHub Actions through Amazon Bedrock, Google Cloud's Agent Platform, or Microsoft Foundry instead of the Claude API [Claude Code GitHub Actions](https://code.claude.com/docs/en/github-actions.md) calls the Claude API by default. To route inference through your own cloud account instead, set the Claude Code GitHub Action's provider input and configure your cloud to trust the workflow's OpenID Connect (OIDC) token. The wor
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Embeddings url: https://platform.claude.com/docs/en/build-with-claude/embeddings description: Text embeddings are numerical representations of text that let you measure semantic similarity. This guide introduces embeddings, their applications, and how to use embedding models for tasks such as search, recommendations, and anomaly detection. --- When selecting an embeddings provider, there are several factors you can consider depending on your needs and preferences: * Dataset size and domain specificity: size of the model training dataset and its relevance to the domain you want to em
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Run Claude Code in GitHub Actions workflows to respond to @claude mentions, automate tasks, and turn issues into pull requests [Claude Code GitHub Actions](https://github.com/anthropics/claude-code-action) is a GitHub Action that runs Claude Code inside your repository's workflows. Mention `@claude` in a pull request or issue comment to have Claude analyze code, implement changes, and push commits. You can also give the Claude Code GitHu
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Effort url: https://platform.claude.com/docs/en/build-with-claude/effort description: Control how many tokens Claude uses when responding with the effort parameter, trading off between response thoroughness and token efficiency. featureMetadata: status: stable zdr: eligibility: eligible note: Excludes [Covered Models](https://platform.claude.com/docs/en/manage-claude/api-and-data-retention#model-specific-data-retention-requirements). supportedModels: - claude-fable-5-1 - claude-mythos-5-1 - claude-fable-5 - claude-mythos-5 - claude-mythos-preview - claude-opus-5-5 - claude-opus-5 -
Anthropic · Claude Code 문서 · AI 마케팅 · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Install the Claude Security plugin to scan your codebase for vulnerabilities in a Claude Code session and turn findings into patches you review and apply. The Claude Security plugin runs a multi-agent vulnerability scan of your codebase inside a Claude Code session. [By default](#choose-a-scan-effort), when you scan a whole repository, Claude agents map your architecture, build a threat model, hunt for vulnerabilities, and independently
Anthropic · Claude 공식 문서 · 리서치 · 발행일 미상
--- title: Deploy MCP tunnels with Helm url: https://platform.claude.com/docs/en/agents-and-tools/mcp-tunnels/deploy-helm description: Install the tunnel stack on a Kubernetes cluster using the Anthropic Helm chart. --- MCP tunnels are in research preview. [Request access](https://claude.com/form/mcp-tunnels) to try them. The Anthropic Helm chart installs the [tunnel stack](https://platform.claude.com/docs/en/agents-and-tools/mcp-tunnels/concepts#components) as a single Deployment and attaches it to your tunnel: one the chart’s setup hook creates for you, or an existing tunnel you created in t
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Install the security-guidance plugin to have Claude review its own code changes for vulnerabilities and fix them in the same session. The security guidance plugin makes Claude review its own code changes for common vulnerabilities while it works and fix what it finds in the same session. The plugin catches issues such as injection, unsafe deserialization, and unsafe DOM APIs before the code reaches a pull request, reducing how much secur
Anthropic · Claude 공식 문서 · 리서치 · 발행일 미상
--- title: Deploy MCP tunnels with Docker Compose url: https://platform.claude.com/docs/en/agents-and-tools/mcp-tunnels/deploy-compose description: Install the MCP tunnel stack on a VM using Docker Compose. --- MCP tunnels are in research preview. [Request access](https://claude.com/form/mcp-tunnels) to try them. This guide deploys the [tunnel stack](https://platform.claude.com/docs/en/agents-and-tools/mcp-tunnels/concepts#components) as hardened containers on a single host. The same configuration can be replicated across multiple hosts for availability. You need: * **A tunnel.** With programm
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Fix a Code Review that didn't start, failed, or was skipped for budget, find missing findings, and resolve setup and `REVIEW.md` problems. When [Code Review](https://code.claude.com/docs/en/code-review.md) doesn't do what you expect on a pull request, start with the **Claude Code Review** check run. Its title says how far the review got. Find the **Claude Code Review** check run on your pull request, then match its title to one of these
Anthropic · Claude 공식 문서 · AI 마케팅 · 발행일 미상
--- title: Define tools url: https://platform.claude.com/docs/en/agents-and-tools/tool-use/define-tools description: Specify tool schemas, write effective descriptions, and control when Claude calls your tools. featureMetadata: status: stable supportedModels: - claude-fable-5-1 - claude-mythos-5-1 - claude-fable-5 - claude-mythos-5 - claude-mythos-preview - claude-opus-5-5 - claude-opus-5 - claude-sonnet-5-5 - claude-sonnet-5 - claude-haiku-5-5 - claude-haiku-4-5-20251001 - claude-opus-4-8 - claude-opus-4-7 - claude-opus-4-6 - claude-sonnet-4-6 - claude-opus-4-5-20251101 - claude-sonnet-4-5-20
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Estimate and cap what your organization spends on Claude Code Review: how reviews are billed through usage credits, what drives cost, and where to track usage. [Code Review](https://code.claude.com/docs/en/code-review.md) has no flat per-review price. What you spend depends on the cost of each review and on how many reviews run: * **Cost of each review**: scales with the [review level](https://code.claude.com/docs/en/code-review-setup.md
Anthropic · Claude 공식 문서 · 콘텐츠 · SEO · 발행일 미상
--- title: Coordinates and bounding boxes url: https://platform.claude.com/docs/en/build-with-claude/vision-coordinates description: How Claude resizes images, and how to work with the pixel coordinates it returns for bounding boxes, points, and UI elements. --- Claude can locate and label regions of an image (for example, returning bounding boxes for tables, form fields, chart elements, or UI components). This guide covers how Claude resizes images before processing them and how to work with the pixel coordinates it returns, so that boxes and points line up with your original image. You’ll ne
Anthropic · Claude Code 문서 · 콘텐츠 · SEO · 발행일 미상
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt > Use this file to discover all available pages before exploring further. > Read Code Review findings on your GitHub pull request, respond to or dismiss them, and request a review with `@claude review`. Code Review is a managed service that an Owner in your Claude organization turns on for a set of GitHub repositories. Once it's on, Claude reviews pull requests in those repositories and posts its findings as inline comments, a summary in the review body, and a check run named **Claude Code Review**. A review nev
Search Engine Journal · 콘텐츠 · SEO · 2026. 11. 1.
DebugBear told customers to remove its Core Web Vitals monitoring script. Site owners should also check exposed accounts and unauthorized changes. The post Hackers Hijacked DebugBear’s DNS To Serve Malicious JavaScript appeared first on Search Engine Journal .
Perplexity · 공식 API 문서 · AI 검색 · 발행일 미상
> Fetch the complete documentation index at: https://docs.perplexity.ai/llms.txt > Use this file to discover all available pages before exploring further. > Use existing OpenAI SDKs with Perplexity's Agent API and understand the compatibility differences. Perplexity's Agent API supports the OpenAI Responses API interface, so you can use existing OpenAI client libraries by changing the base URL and providing your Perplexity API key. The APIs are not identical, and some defaults and Perplexity extensions differ. > [!NOTE] > > **Endpoint Note:** Perplexity's canonical Agent API endpoint is `POST
Perplexity · 공식 API 문서 · AI 검색 · 발행일 미상
> Fetch the complete documentation index at: https://docs.perplexity.ai/llms.txt > Use this file to discover all available pages before exploring further. > Give the agent on-demand domain expertise with built-in, inline, and custom skills. Skills give the agent domain expertise on demand. The model sees each skill by name and description, and loads the full instructions only when it decides they are needed — a progressive disclosure pattern described in [Designing, Refining, and Maintaining Agent Skills](https://research.perplexity.ai/articles/designing-refining-and-maintaining-agent-skills-a
Perplexity · 공식 API 문서 · AI 검색 · 발행일 미상
> Fetch the complete documentation index at: https://docs.perplexity.ai/llms.txt > Use this file to discover all available pages before exploring further. > Send documents to the Agent API, continue a conversation about them, and download files produced by the agent. Agent runs can produce files such as CSV, JSON, JSONL, and reports in the sandbox. When code the model runs in the `sandbox` tool writes a file and delivers it with the `share_file` tool, the response `output` array includes a `share_file` item. The file content is not returned inline — retrieve it separately with the response fil