style: format with black for CI stability

Author: haasonsaas

orbit_agent/advisor.py

@@ -158,11 +158,12 @@ def _call_llm_with_retry(self, module, **kwargs):
 
                 est_in_toks = int((in_chars / 4.0) + 0.5)
                 est_out_toks = int((out_chars / 4.0) + 0.5)
-                if cfg.track_usage and (cfg.cost_per_1k_prompt > 0 or cfg.cost_per_1k_completion > 0):
-                    cost = (
-                        (est_in_toks / 1000.0) * cfg.cost_per_1k_prompt
-                        + (est_out_toks / 1000.0) * cfg.cost_per_1k_completion
-                    )
+                if cfg.track_usage and (
+                    cfg.cost_per_1k_prompt > 0 or cfg.cost_per_1k_completion > 0
+                ):
+                    cost = (est_in_toks / 1000.0) * cfg.cost_per_1k_prompt + (
+                        est_out_toks / 1000.0
+                    ) * cfg.cost_per_1k_completion
                     logger.info(
                         f"LLM {module.__class__.__name__}: {duration_ms:.0f} ms, in≈{est_in_toks} tok, out≈{est_out_toks} tok, cost≈${cost:.4f}"
                     )

orbit_agent/config.py

@@ -93,7 +93,9 @@ def __post_init__(self):
 def _determine_model_and_key() -> tuple[str, Optional[str]]:
     """Determine which model and API key to use"""
     explicit_model = os.getenv("ORBIT_LM")
-    provider_hint = os.getenv("LM_PROVIDER")  # Optional compatibility env: openai|anthropic|ollama
+    provider_hint = os.getenv(
+        "LM_PROVIDER"
+    )  # Optional compatibility env: openai|anthropic|ollama
     openai_key = os.getenv("OPENAI_API_KEY")
     anthropic_key = os.getenv("ANTHROPIC_API_KEY")