chore: line lengths

Author: andrewklatzke

packages/optimization/src/ldai_optimizer/client.py

@@ -179,6 +179,7 @@ def _trim_history(
         return history
     return history[-max_len:]
 
+
 # Maps SDK status strings to the API status/activity values expected by
 # agent_optimization_result records. Defined at module level to avoid
 # allocating the dict on every on_status_update invocation.
@@ -194,7 +195,6 @@ def _trim_history(
 }
 
 
-
 class OptimizationClient:
     _options: OptimizationOptions
     _ldClient: LDAIClient

packages/optimization/src/ldai_optimizer/dataclasses.py

@@ -221,7 +221,8 @@ class OptimizationContext:
     duration_ms: Optional[float] = None  # wall-clock time for the agent call in milliseconds
     usage: Optional[TokenUsage] = None  # token usage reported by the agent for this iteration
     estimated_cost_usd: Optional[float] = None  # estimated cost; USD when pricing available, else total tokens
-    accumulated_token_usage: Optional[int] = None  # single running total across ALL calls in this run (generation + judges + variation)
+    # single running total across ALL calls in this run (generation + judges + variation)
+    accumulated_token_usage: Optional[int] = None
 
     def copy_without_history(self) -> OptimizationContext:
         """

packages/optimization/src/ldai_optimizer/prompts.py

@@ -183,7 +183,9 @@ def build_new_variation_prompt(
             history, model_choices, variable_choices, initial_instructions
         ),
         variation_prompt_duration_optimization(model_choices) if optimize_for_duration else "",
-        variation_prompt_cost_optimization(model_choices, quality_already_passing=quality_already_passing) if optimize_for_cost else "",
+        variation_prompt_cost_optimization(
+            model_choices, quality_already_passing=quality_already_passing
+        ) if optimize_for_cost else "",
     ]
 
     return "\n\n".join(s for s in sections if s)
@@ -628,10 +630,13 @@ def variation_prompt_cost_optimization(
             "## Cost Optimization:",
             "The acceptance criteria for this optimization implies that token usage / cost should be reduced.",
             "*** IMPORTANT: All quality acceptance criteria are currently passing. ***",
-            "The goal of this variation is to reduce cost WITHOUT changing the behavior or quality of the agent's responses.",
+            "The goal of this variation is to reduce cost WITHOUT changing the behavior or quality"
+            " of the agent's responses.",
             "Do NOT alter the instructions in ways that would change what the agent says or how it reasons.",
-            "Only apply changes that reduce token usage or switch to a cheaper model while preserving the same output quality.",
-            "If you cannot reduce cost without risking quality, keep the instructions unchanged and only consider a cheaper model.",
+            "Only apply changes that reduce token usage or switch to a cheaper model while preserving"
+            " the same output quality.",
+            "If you cannot reduce cost without risking quality, keep the instructions unchanged and"
+            " only consider a cheaper model.",
             "",
         ]
     else:
@@ -650,14 +655,16 @@ def variation_prompt_cost_optimization(
         "- Remove redundant, verbose, or repeated phrasing from the instructions.",
         "- Collapse multi-sentence explanations into a single concise directive.",
         "- Remove examples or few-shot demonstrations unless they are essential for accuracy.",
-        "- Eliminate instructional scaffolding that the model does not need (e.g. 'You are a helpful assistant that...').",
+        "- Eliminate instructional scaffolding that the model does not need"
+        " (e.g. 'You are a helpful assistant that...').",
         "- Use bullet points instead of prose where possible — they are more token-efficient.",
         "",
         "### Reducing token usage (output tokens):",
         "- Instruct the agent to be concise and avoid unnecessary elaboration.",
         "- Specify the exact format and length of the expected response (e.g. 'Respond in one sentence.').",
         "- Set or reduce max_tokens if the current value allows longer responses than needed.",
-        "- Avoid instructions that encourage the agent to 'explain its reasoning' unless required by the acceptance criteria.",
+        "- Avoid instructions that encourage the agent to 'explain its reasoning' unless required"
+        " by the acceptance criteria.",
         "",
         "### Reducing per-token cost via model selection:",
         "- Consider switching to a cheaper model from the available choices if quality requirements can still be met.",