Cost-efficient compute for agent workloads.

from openai import OpenAI

client = OpenAI(
    base_url="https://staging-api.blueclaw.network/v1",
    api_key="your-api-key",
)

response = client.chat.completions.create(
    model="MODEL_ID",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

from anthropic import Anthropic

client = Anthropic(
    base_url="https://staging-api.blueclaw.network",
    api_key="your-api-key",
)

message = client.messages.create(
    model="MODEL_ID",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}],
)
print(message.content[0].text)

Anthropic clients take the API's root as their base URL. Use a model that lists /v1/messages.

export ANTHROPIC_BASE_URL="https://staging-api.blueclaw.network"
export ANTHROPIC_AUTH_TOKEN="your-api-key"
export ANTHROPIC_MODEL="MODEL_ID"
export ANTHROPIC_DEFAULT_OPUS_MODEL="MODEL_ID"
export ANTHROPIC_DEFAULT_SONNET_MODEL="MODEL_ID"
export ANTHROPIC_DEFAULT_HAIKU_MODEL="MODEL_ID"
# Removes pre-release betas and their fields from each request.
export CLAUDE_CODE_DISABLE_EXPERIMENTAL_BETAS=1

claude

Anthropic says it doesn't support routing Claude Code to non-Claude models through any gateway. The protocol is documented and this setup uses it, but a Claude Code update could break it, and neither we nor Anthropic can promise otherwise. Use a model that lists /v1/messages.

# ~/.codex/config.toml
model = "MODEL_ID"
model_provider = "blueclaw"

[model_providers.blueclaw]
name = "Blue Claw"
base_url = "https://staging-api.blueclaw.network/v1"
env_key = "BLUECLAW_API_KEY"
wire_api = "responses"

Codex speaks only the Responses route, so use a model that lists /v1/responses. Its web_search tool does nothing here, because the model server silently drops it. Leave apply_patch off, because the model server rejects its grammar.

// ~/.config/opencode/opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "blueclaw": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Blue Claw",
      "options": {
        "baseURL": "https://staging-api.blueclaw.network/v1",
        "apiKey": "{env:BLUECLAW_API_KEY}"
      },
      "models": {
        "MODEL_ID": {
          "name": "MODEL_ID",
          "limit": { "context": 128000, "output": 8192 }
        }
      }
    }
  },
  "model": "blueclaw/MODEL_ID"
}

Set limit.output to a sensible cap. The default can reach 256k tokens, which inflates the hold on your balance. This sample uses @ai-sdk/openai-compatible for chat. Use @ai-sdk/openai for Responses or @ai-sdk/anthropic for Messages. Don't name the provider vllm, because opencode then replaces your configured models.

// ~/.openclaw/openclaw.json
// OpenClaw uses JSON5, so comments are supported.
{
  "agents": {
    "defaults": {
      "model": {
        "primary": "blueclaw/MODEL_ID"
      }
    }
  },

  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "loopback"
  },

  "models": {
    "mode": "merge",
    "providers": {
      "blueclaw": {
        "baseUrl": "https://staging-api.blueclaw.network/v1",
        "apiKey": "${BLUECLAW_API_KEY}",
        "api": "openai-completions",
        "headers": {
          "User-Agent": "OpenClaw/BlueClaw"
        },
        "authHeader": true,
        "models": [
          {
            "id": "MODEL_ID",
            "name": "MODEL_ID",
            "api": "openai-completions",
            "input": ["text"]
          }
        ]
      }
    }
  }
}

# Hermes-style agents, LiteLLM routers, and most
# tools that speak the OpenAI API read these variables:

export OPENAI_BASE_URL="https://staging-api.blueclaw.network/v1"
export OPENAI_API_KEY="your-api-key"

# Then point your agent at a model that lists /v1/chat/completions:
#   model = "MODEL_ID"

curl https://staging-api.blueclaw.network/v1/chat/completions \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MODEL_ID",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'