# Anthropic Administrator

The Anthropic Admin API allows programmatic management of organizational resources, including members, workspaces, and API keys.

- **Category:** ai models
- **Auth:** API_KEY
- **Composio Managed App Available?** N/A
- **Tools:** 4
- **Triggers:** 0
- **Slug:** `ANTHROPIC_ADMINISTRATOR`
- **Version:** 20260316_00

## Tools

### Create Message

**Slug:** `ANTHROPIC_ADMINISTRATOR_CREATE_MESSAGE`

Create a message completion from Claude. Send a conversation history with user/assistant messages and receive Claude's response. Useful for: chatbots, Q&A systems, text generation, conversational AI, and any task requiring natural language understanding or generation.

### Get Model

**Slug:** `ANTHROPIC_ADMINISTRATOR_GET_MODEL`

Tool to retrieve details of a specific model by its ID. Use after confirming the model ID is valid.

### List models

**Slug:** `ANTHROPIC_ADMINISTRATOR_LIST_MODELS`

Tool to list available models. Use when you need to see which models are available before selection. Always source model IDs from this tool rather than hard-coding them; stale or outdated model IDs passed to CREATE_MESSAGE will cause a not_found_error.

### Prompt Caching

**Slug:** `ANTHROPIC_ADMINISTRATOR_PROMPT_CACHING`

Create messages with prompt caching to reduce costs by up to 90% and latency by up to 85% on repeated API calls. Mark static content (system instructions, documents, context) for reuse with cache_control. Cache reads cost 0.1x base price, writes cost 1.25x (5m TTL) or 2x (1h TTL). Default 5-minute TTL: cache_control: {"type": "ephemeral"}. One-hour TTL: cache_control: {"type": "ephemeral", "ttl": 3600}. Invalid or mismatched cache_control fields fail silently with no error. Up to 4 cache breakpoints supported. For conversations, cache message history by marking final user message. Minimum tokens: Opus 4.5/Haiku 4.5 need 4096, Sonnet 4.5/4 need 1024, Haiku 3.5/3 need 2048. Monitor cache_read_input_tokens and cache_creation_input_tokens in usage response to track effectiveness. Best for: RAG with large documents, agentic tools, long conversations, coding assistants, reference analysis.