Complete cloud provider patch MVP

AINative_OKR_CASAN5/.specify/scripts/bash/model-call.py

@@ -156,15 +156,42 @@ def call_openai(model_name, prompt, role):
     except Exception as exc:  # honest non-zero, no fake success
         fail(f"backend_unreachable {type(exc).__name__}: {str(exc)[:120]}")
     latency_ms = int((time.time() - t0) * 1000)
-    usage = payload.get("usage", {})
+    text, input_tokens, output_tokens = parse_openai_payload(payload)
     return {
-        "text": (payload["choices"][0]["message"]["content"] or "").strip(),
-        "input_tokens": int(usage.get("prompt_tokens", 0)),
-        "output_tokens": int(usage.get("completion_tokens", 0)),
+        "text": text,
+        "input_tokens": input_tokens,
+        "output_tokens": output_tokens,
         "latency_ms": latency_ms,
     }
 
 
+def parse_openai_payload(payload):
+    try:
+        text = (payload["choices"][0]["message"]["content"] or "").strip()
+        usage = payload["usage"]
+        input_tokens = int(usage["prompt_tokens"])
+        output_tokens = int(usage["completion_tokens"])
+    except (KeyError, IndexError, TypeError, ValueError) as exc:
+        fail(f"provider_usage_invalid openai {type(exc).__name__}: {str(exc)[:80]}")
+    return text, input_tokens, output_tokens
+
+
+def parse_anthropic_payload(payload):
+    try:
+        content = payload["content"]
+        if not isinstance(content, list):
+            raise TypeError("content is not a list")
+        text = "".join(
+            b.get("text", "") for b in content if isinstance(b, dict) and b.get("type") == "text"
+        ).strip()
+        usage = payload["usage"]
+        input_tokens = int(usage["input_tokens"])
+        output_tokens = int(usage["output_tokens"])
+    except (KeyError, TypeError, ValueError) as exc:
+        fail(f"provider_usage_invalid anthropic {type(exc).__name__}: {str(exc)[:80]}")
+    return text, input_tokens, output_tokens
+
+
 def call_anthropic(model_name, prompt, role):
     # Endpoint hard-pinned to the allowlisted host (no env override). NOTE: on
     # current Claude models (Opus 4.8/4.7, Sonnet 5, ...) `temperature`/`top_p`
@@ -197,20 +224,14 @@ def call_anthropic(model_name, prompt, role):
     except Exception as exc:  # honest non-zero, no fake success
         fail(f"backend_unreachable {type(exc).__name__}: {str(exc)[:120]}")
     latency_ms = int((time.time() - t0) * 1000)
-    # content is a list of blocks; concatenate text blocks. A safety refusal
-    # (stop_reason=="refusal") yields empty text -> extract_verdict fails closed.
-    text = "".join(
-        b.get("text", "") for b in payload.get("content", []) if b.get("type") == "text"
-    ).strip()
-    usage = payload.get("usage", {})
+    text, input_tokens, output_tokens = parse_anthropic_payload(payload)
     return {
         "text": text,
-        "input_tokens": int(usage.get("input_tokens", 0)),
-        "output_tokens": int(usage.get("output_tokens", 0)),
+        "input_tokens": input_tokens,
+        "output_tokens": output_tokens,
         "latency_ms": latency_ms,
     }
 
-
 def main():
     ap = argparse.ArgumentParser()
     ap.add_argument("prompt_file")