claude

Call the Claude API (claude-opus, claude-sonnet, claude-haiku) through RunAPI using the official Anthropic SDK, OpenAI SDK, Gemini contents clients, or compatible clients. Use when the user asks for Claude / Anthropic chat, streaming messages, multimodal vision input, tool use, extended thinking, token counting, OpenAI or Gemini protocol compatibility, or when they want to point an existing LLM SDK setup at RunAPI as the base URL.

RunAPI@runapi-ai

Install

openclaw skills install @runapi-ai/runapi-claude

Claude on RunAPI

Use the official Anthropic SDK (Python, TypeScript, Ruby) -- or any Anthropic-compatible HTTP client — and switch the base URL to https://runapi.ai. The endpoint speaks the Anthropic Messages protocol (POST /v1/messages), so no client code changes beyond base_url and api_key.

Setup

dotenv

ANTHROPIC_API_KEY=YOUR_RUNAPI_TOKEN
ANTHROPIC_BASE_URL=https://runapi.ai

Get a RunAPI API Key at https://runapi.ai/api_keys.

Language	Init
Python	`anthropic.Anthropic(api_key=..., base_url="https://runapi.ai")`
TypeScript	`new Anthropic({ apiKey: ..., baseURL: "https://runapi.ai" })`
Ruby	`Anthropic::Client.new(api_key: ..., base_url: "https://runapi.ai")`
curl	`POST https://runapi.ai/v1/messages` with `x-api-key:` header

x-api-key and Authorization: Bearer ... both work; the SDK uses x-api-key by default.

Core recipe — non-streaming message

python

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_RUNAPI_TOKEN",
    base_url="https://runapi.ai",
)

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    system="You are a helpful assistant.",
    messages=[{"role": "user", "content": "Explain quantum computing simply."}],
)
print(message.content[0].text)
print(message.usage)  # input_tokens / output_tokens

typescript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  apiKey: "YOUR_RUNAPI_TOKEN",
  baseURL: "https://runapi.ai",
});

const message = await client.messages.create({
  model: "claude-sonnet-4-6",
  max_tokens: 1024,
  system: "You are a helpful assistant.",
  messages: [{ role: "user", content: "Explain quantum computing simply." }],
});

max_tokens is required by the Anthropic API.

Streaming

python

with client.messages.stream(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Write a haiku about coding."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

typescript

const stream = await client.messages.stream({
  model: "claude-sonnet-4-6",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Write a haiku about coding." }],
});

for await (const event of stream) {
  if (event.type === "content_block_delta") {
    process.stdout.write(event.delta.text);
  }
}

Streaming runs through a regional edge proxy so the request does not hold a Rails/Puma thread. Long generations (extended thinking, large max_tokens) should always stream.

Vision / multimodal

json

{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": [
        { "type": "text", "text": "What is in this image?" },
        {
          "type": "image_url",
          "image_url": { "url": "https://cdn.runapi.ai/public/samples/mask.png" }
        }
      ]
    }
  ]
}

Image input uses the standard Anthropic image_url block. URLs must be publicly fetchable.

Tool use / web search / reasoning

json

{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "reasoning_effort": "high",
  "include_thoughts": true,
  "tools": [
    { "type": "function", "function": { "name": "googleSearch" } }
  ],
  "messages": [
    { "role": "user", "content": "What's the latest on Claude 4.7?" }
  ]
}

reasoning_effort: "low" or "high". Supported on every model below.
include_thoughts: returns reasoning content. Only claude-sonnet-4-5-20250929 and claude-sonnet-4-6 support this.
Web access uses a googleSearch function tool.
Set header anthropic-beta: interleaved-thinking-2025-05-14 to interleave thinking blocks with output.

Token counting

bash

curl -X POST "https://runapi.ai/v1/messages/count_tokens" \
  -H "x-api-key: YOUR_RUNAPI_TOKEN" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "How many tokens?"}]
  }'

Returns {"input_tokens": <n>}. Image blocks use a 512-token heuristic; for exact response usage read usage from the actual POST /v1/messages response.

List models

bash

curl https://runapi.ai/v1/models -H "x-api-key: YOUR_RUNAPI_TOKEN"

Returns Anthropic-compatible model objects.

Protocol compatibility

Claude models are also available through RunAPI's OpenAI-compatible and Gemini contents client surfaces. Use these protocol paths when an existing agent runtime already speaks Chat Completions, Responses, or Gemini generateContent / streamGenerateContent; for new Claude-specific code, prefer the Anthropic Messages setup above.

bash

curl -X POST "https://runapi.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "Draft a concise answer."}]
  }'

bash

curl -X POST "https://runapi.ai/v1/responses" \
  -H "Authorization: Bearer YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "input": "Draft a concise answer."
  }'

bash

curl -X POST \
  "https://runapi.ai/v1beta/models/claude-sonnet-4-6:streamGenerateContent" \
  -H "x-goog-api-key: YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"contents":[{"role":"user","parts":[{"text":"Hello, Claude!"}]}]}'

Token counting remains specific to the Anthropic-compatible /v1/messages/count_tokens endpoint.

Supported models

Model ID	Use when
`claude-fable-5`	Flagship — state-of-the-art coding, reasoning, and vision (1M context)
`claude-sonnet-5`	Near-Opus coding and agentic skill at Sonnet cost (1M context)
`claude-opus-4-8`	Strongest general model — agents, complex reasoning
`claude-opus-4-7`	Previous Opus generation for stable workloads
`claude-opus-4-6`	High-end reasoning workloads
`claude-sonnet-4-6`	Balanced default for production chat
`claude-opus-4-5-20251101`	Pin Opus 4.5 snapshot
`claude-sonnet-4-5-20250929`	Pin Sonnet 4.5 snapshot (supports `include_thoughts`)
`claude-haiku-4-5-20251001`	Highest throughput lightweight model
`claude-opus-4-1-20250805`	Pin Opus 4.1 snapshot

Aliases auto-resolve to dated snapshots: claude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5.

Connect Claude Code itself

bash

ANTHROPIC_BASE_URL=https://runapi.ai \
ANTHROPIC_API_KEY=YOUR_RUNAPI_TOKEN \
claude

Agent rules

Always pass max_tokens — the Anthropic API rejects requests without it.
Use streaming for any response longer than a few hundred tokens. Do not hold the agent on a long blocking request.
Default Claude-native integrations to the Anthropic Messages endpoint. Use OpenAI-compatible or Gemini contents paths only for existing clients that require those request shapes.
include_thoughts only works on the two Sonnet models listed above; do not send it on Opus or Haiku.
Pricing, rate limits, quotas — link to https://runapi.ai/models/claude.md, not this skill file.
For exact token usage read usage from the POST /v1/messages response, not from /v1/messages/count_tokens.

Routing

Model page: https://runapi.ai/models/claude.md
Provider page: https://runapi.ai/providers/anthropic.md
Catalog: https://runapi.ai/models.md

claude

Install

Claude on RunAPI

Setup

Core recipe — non-streaming message

Streaming

Vision / multimodal

Tool use / web search / reasoning

Token counting

List models

Protocol compatibility

Supported models

Connect Claude Code itself

Agent rules

Routing

Related skills