feat: add provider feedback logs

automation/agents.py

@@ -40,8 +40,10 @@ def _invoke_model(prompt: str, hint: str = "fast") -> str | None:
     errors: list[str] = []
     sentinel_seen = False
 
+    total = len(commands)
     for idx, command in enumerate(commands, start=1):
-        sys.stderr.write(f"[agents] provider {idx}/{len(commands)} → {command.split()[0]}\n")
+        provider_name = command.split()[0]
+        sys.stderr.write(f"[agents] provider {idx}/{total} → {provider_name}\n")
         sys.stderr.flush()
         executor, raw_stdout, stderr, returncode = _run_ai_command(command, prompt, repo_root)
 
@@ -49,13 +51,25 @@ def _invoke_model(prompt: str, hint: str = "fast") -> str | None:
             stripped = raw_stdout.strip()
             if stripped == model.sentinel:
                 sentinel_seen = True
+                sys.stderr.write(
+                    f"[agents] provider {idx}/{total} → {provider_name} returned sentinel (no change)\n"
+                )
+                sys.stderr.flush()
                 continue
             return stripped
 
         if returncode == 0:
             errors.append(f"{executor!r} produced no output")
+            sys.stderr.write(
+                f"[agents] provider {idx}/{total} → {provider_name} returned no output\n"
+            )
+            sys.stderr.flush()
         else:
             errors.append(f"{executor!r} exited with {returncode}: {stderr or 'no stderr'}")
+            sys.stderr.write(
+                f"[agents] provider {idx}/{total} → {provider_name} exited with {returncode}\n"
+            )
+            sys.stderr.flush()
 
     if sentinel_seen:
         return None

automation/patcher.py

@@ -414,7 +414,13 @@ def build_prompt(
     )
 
 
-def call_model(model: ModelConfig, prompt: str, model_hint: str, cwd: Path) -> tuple[str, bool]:
+def call_model(
+    model: ModelConfig,
+    prompt: str,
+    model_hint: str,
+    cwd: Path,
+    context: str = "[runner]",
+) -> tuple[str, bool]:
     """
     Invokes the AI model command with the given prompt and captures its output.
 
@@ -435,29 +441,49 @@ def call_model(model: ModelConfig, prompt: str, model_hint: str, cwd: Path) -> t
     # Get commands based on hint
     commands = model.get_commands_for_hint(model_hint)
 
-    iter_commands = enumerate(commands, start=1)
-
-    for idx, command in iter_commands:
-        sys.stderr.write(f"[runner] provider {idx}/{len(commands)} → {command.split()[0]}\n")
+    total = len(commands)
+    for idx, command in enumerate(commands, start=1):
+        provider_name = command.split()[0]
+        sys.stderr.write(f"{context} provider {idx}/{total} → {provider_name}\n")
         sys.stderr.flush()
         executor, raw_stdout, stderr, returncode = _run_ai_command(command, prompt, cwd)
 
         if raw_stdout:
             stripped = raw_stdout.strip()
             if stripped == model.sentinel:
+                sys.stderr.write(
+                    f"{context} provider {idx}/{total} → {provider_name} returned sentinel (no change)\n"
+                )
+                sys.stderr.flush()
                 return raw_stdout, True
             if "API Error:" in raw_stdout and "Overloaded" in raw_stdout:
                 raise PatchGenerationError("Claude API is overloaded (500 error) - please retry later")
             if "<<<AI_DIFF_START>>>" in raw_stdout:
+                sys.stderr.write(
+                    f"{context} provider {idx}/{total} → {provider_name} produced diff\n"
+                )
+                sys.stderr.flush()
                 return raw_stdout, False
             # Non-empty output without diff markers counts as failure so we can try fallbacks.
             errors.append(f"{executor!r} produced non-diff output: {stripped[:80]}")
+            sys.stderr.write(
+                f"{context} provider {idx}/{total} → {provider_name} non-diff output; trying next\n"
+            )
+            sys.stderr.flush()
             continue
 
         if returncode == 0:
             errors.append(f"{executor!r} produced no output")
+            sys.stderr.write(
+                f"{context} provider {idx}/{total} → {provider_name} returned no output\n"
+            )
+            sys.stderr.flush()
         else:
             errors.append(f"{executor!r} exited with {returncode}: {stderr or 'no stderr'}")
+            sys.stderr.write(
+                f"{context} provider {idx}/{total} → {provider_name} exited with {returncode}\n"
+            )
+            sys.stderr.flush()
 
     raise PatchGenerationError("AI command(s) failed: " + "; ".join(errors))
 

automation/runner.py

@@ -105,6 +105,7 @@ def process(repo_root: Path, rules: RulesConfig, model: ModelConfig) -> int:
 
             # 3) Ask the patcher to build a diff with the assembled instruction.
             try:
+                print(f"[runner] generating {output_rel.as_posix()} from {src_rel.as_posix()}")
                 generate_output(
                     repo_root=repo_root,
                     rules=rules,