Claude API Gateway
Full Tool Calling. No Limits.

from openai import OpenAI

client = OpenAI(
    base_url="https://.hf.space/v1",
    api_key="sukuna",
)
resp = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role": "user", "content": "Write a quicksort in Python"}],
)
print(resp.choices[0].message.content)

from openai import OpenAI
import json

client = OpenAI(base_url="https://.hf.space/v1", api_key="sukuna")

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get weather for a city",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
            },
            "required": ["location"],
        },
    },
}]

# Step 1 — model decides to call a tool
resp = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role": "user", "content": "Weather in Tokyo?"}],
    tools=tools,
    tool_choice="auto",
)
tc = resp.choices[0].message.tool_calls[0]
args = json.loads(tc.function.arguments)
print("Called:", tc.function.name, args)

# Step 2 — send tool result back
resp2 = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[
        {"role": "user", "content": "Weather in Tokyo?"},
        resp.choices[0].message,
        {"role": "tool", "tool_call_id": tc.id, "content": "28°C, sunny"},
    ],
    tools=tools,
)
print(resp2.choices[0].message.content)

from openai import OpenAI
import json

client = OpenAI(base_url="https://.hf.space/v1", api_key="sukuna")

tools = [
    {"type":"function","function":{"name":"get_weather","description":"Get weather",
        "parameters":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}}},
    {"type":"function","function":{"name":"get_time","description":"Get local time",
        "parameters":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}}},
]

resp = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role":"user","content":"Weather AND time in Paris and London?"}],
    tools=tools,
    tool_choice="auto",
    parallel_tool_calls=True,   # allow multiple calls at once
)

for tc in resp.choices[0].message.tool_calls:
    args = json.loads(tc.function.arguments)
    print(f"→ {tc.function.name}({args})")

from openai import OpenAI

client = OpenAI(base_url="https://.hf.space/v1", api_key="sukuna")

with client.chat.completions.stream(
    model="claude-opus-4-6",
    messages=[{"role":"user","content":"Explain async/await step by step"}],
) as s:
    for text in s.text_stream:
        print(text, end="", flush=True)

# ── Set these exports once (add to ~/.bashrc or ~/.zshrc) ──────────────
export ANTHROPIC_BASE_URL=https://.hf.space
export ANTHROPIC_API_KEY=sukuna
export ANTHROPIC_MODEL=claude-opus-4-6

# ── Then just run ──────────────────────────────────────────────────────
claude

# ── Or one-liner without saving to shell ──────────────────────────────
ANTHROPIC_BASE_URL=https://.hf.space \
ANTHROPIC_API_KEY=sukuna \
ANTHROPIC_MODEL=claude-opus-4-6 \
claude

# Basic chat
curl https://.hf.space/v1/chat/completions \
  -H "Authorization: Bearer sukuna" \
  -H "Content-Type: application/json" \
  -d '{"model":"claude-opus-4-6","messages":[{"role":"user","content":"Hello!"}]}'

# With tool
curl https://.hf.space/v1/chat/completions \
  -H "Authorization: Bearer sukuna" \
  -H "Content-Type: application/json" \
  -d '{"model":"claude-opus-4-6",
      "tools":[{"type":"function","function":{"name":"calc","description":"calculator",
        "parameters":{"type":"object","properties":{"expr":{"type":"string"}},"required":["expr"]}}}],
      "tool_choice":"auto",
      "messages":[{"role":"user","content":"What is 144 * 7?"}]}'

# List models
curl https://.hf.space/v1/models -H "Authorization: Bearer sukuna"