simple.yaml

 1---
 2version: 2
 3interactions:
 4- id: 0
 5  request:
 6    proto: HTTP/1.1
 7    proto_major: 1
 8    proto_minor: 1
 9    content_length: 187
10    host: ""
11    body: '{"messages":[{"content":"You are a helpful assistant","role":"system"},{"content":"Say hi in Portuguese","role":"user"}],"model":"z-ai/glm-4.6","max_tokens":4000,"usage":{"include":true}}'
12    headers:
13      Accept:
14      - application/json
15      Content-Type:
16      - application/json
17      User-Agent:
18      - OpenAI/Go 2.7.1
19    url: https://openrouter.ai/api/v1/chat/completions
20    method: POST
21  response:
22    proto: HTTP/2.0
23    proto_major: 2
24    proto_minor: 0
25    content_length: -1
26    uncompressed: true
27    body: "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1773324064-bCxdmtgLzZ9hRfv3kUJn\",\"object\":\"chat.completion\",\"created\":1773324064,\"model\":\"z-ai/glm-4.6\",\"provider\":\"AtlasCloud\",\"system_fingerprint\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"stop\",\"native_finish_reason\":\"stop\",\"message\":{\"role\":\"assistant\",\"content\":\"Oi!\",\"refusal\":null,\"reasoning\":\"1.  **Identify the user's request:** The user wants me to say \\\"hi\\\" in Portuguese.\\n\\n2.  **Retrieve knowledge about Portuguese greetings:**\\n    *   \\\"Olá\\\" is the standard, slightly formal but versatile greeting (equivalent to \\\"Hello\\\").\\n    *   \\\"Oi\\\" is the informal, common greeting (equivalent to \\\"Hi\\\").\\n    *   \\\"Oi, tudo bem?\\\" (Hi, how are you?) is also very common.\\n\\n3.  **Select the best response:** Since the user specifically asked to \\\"say hi\\\", \\\"Oi\\\" is the most direct translation. However, providing \\\"Olá\\\" as well adds value and covers different contexts.\\n\\n4.  **Draft the response:**\\n    *   Option 1: \\\"Oi!\\\"\\n    *   Option 2: \\\"Olá!\\\"\\n    *   Option 3: \\\"Oi! or Olá!\\\"\\n\\n5.  **Final Polish:** A simple, direct answer is usually best for this type of query.\\n\\n    *   \\\"Oi!\\\"\\n\\n    (I could also add \\\"Olá\\\" for completeness).\\n\\n6.  **Final Output Generation:** \\\"Oi!\\\" or \\\"Olá!\\\" are both correct. I will provide the most common informal one first, or just the standard one. Let's go with \\\"Oi!\\\" as it matches \\\"hi\\\" well, but maybe list both.\\n\\n    *   *Result:* \\\"Oi!\\\" (or \\\"Olá!\\\")\\n\\n    Let's just give the most direct translation.\\n\\n    \\\"Oi!\\\"\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"1.  **Identify the user's request:** The user wants me to say \\\"hi\\\" in Portuguese.\\n\\n2.  **Retrieve knowledge about Portuguese greetings:**\\n    *   \\\"Olá\\\" is the standard, slightly formal but versatile greeting (equivalent to \\\"Hello\\\").\\n    *   \\\"Oi\\\" is the informal, common greeting (equivalent to \\\"Hi\\\").\\n    *   \\\"Oi, tudo bem?\\\" (Hi, how are you?) is also very common.\\n\\n3.  **Select the best response:** Since the user specifically asked to \\\"say hi\\\", \\\"Oi\\\" is the most direct translation. However, providing \\\"Olá\\\" as well adds value and covers different contexts.\\n\\n4.  **Draft the response:**\\n    *   Option 1: \\\"Oi!\\\"\\n    *   Option 2: \\\"Olá!\\\"\\n    *   Option 3: \\\"Oi! or Olá!\\\"\\n\\n5.  **Final Polish:** A simple, direct answer is usually best for this type of query.\\n\\n    *   \\\"Oi!\\\"\\n\\n    (I could also add \\\"Olá\\\" for completeness).\\n\\n6.  **Final Output Generation:** \\\"Oi!\\\" or \\\"Olá!\\\" are both correct. I will provide the most common informal one first, or just the standard one. Let's go with \\\"Oi!\\\" as it matches \\\"hi\\\" well, but maybe list both.\\n\\n    *   *Result:* \\\"Oi!\\\" (or \\\"Olá!\\\")\\n\\n    Let's just give the most direct translation.\\n\\n    \\\"Oi!\\\"\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":15,\"completion_tokens\":314,\"total_tokens\":329,\"cost\":0.00055296,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":4,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00055296,\"upstream_inference_prompt_cost\":0.0000066,\"upstream_inference_completions_cost\":0.00054636},\"completion_tokens_details\":{\"reasoning_tokens\":310,\"image_tokens\":0,\"audio_tokens\":0}}}"
28    headers:
29      Content-Type:
30      - application/json
31    status: 200 OK
32    code: 200
33    duration: 1.620134375s