DeepSeek V3.2

curl https://api.therouter.ai/v1/chat/completions \
  -H "Authorization: Bearer $THEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "messages": [{"role": "user", "content": "Prove that the sum of two odd integers is even."}]
  }'

curl https://api.therouter.ai/v1/chat/completions \
  -H "Authorization: Bearer $THEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "stream": true,
    "messages": [{"role": "user", "content": "Explain MoE load balancing in 200 words."}]
  }'

curl https://api.therouter.ai/v1/chat/completions \
  -H "Authorization: Bearer $THEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "messages": [{"role": "user", "content": "What is the AWS S3 region for ap-northeast-1?"}],
    "tools": [{
      "type": "function",
      "function": {
        "name": "lookup_region",
        "parameters": {"type": "object", "properties": {"code": {"type": "string"}}}
      }
    }]
  }'

curl https://api.therouter.ai/v1/chat/completions \
  -H "Authorization: Bearer $THEROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "response_format": {"type": "json_object"},
    "messages": [
      {"role": "system", "content": "Return JSON: {\"action\":string,\"args\":object}"},
      {"role": "user", "content": "Restart the nginx container on host web-03."}
    ]
  }'

# Reference SGLang launch (FP8). See HF model card for exact tensor-parallel sizing.
python -m sglang.launch_server \
  --model deepseek-ai/DeepSeek-V3.2 \
  --tp 8 \
  --trust-remote-code \
  --port 30000

# Then call it through TheRouter as model="deepseek/deepseek-v3.2"
# with TheRouter configured to use your self-hosted endpoint as the upstream.