mirror of https://github.com/aliasrobotics/cai.git
removing prints from pricing changes
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b1e60d0284
commit
fbbdc31ba6
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@ -201,10 +201,6 @@ class ModelCommand(Command):
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console.print(
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"[yellow]Warning: Could not fetch model pricing data[/yellow]"
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)
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print("--------------------------------")
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print(LITELLM_URL)
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print(model_pricing_data)
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print("--------------------------------")
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# Create a flat list of all models for numeric selection
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# pylint: disable=invalid-name
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ALL_MODELS = []
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@ -358,16 +358,11 @@ class OpenAIChatCompletionsModel(Model):
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# Create streaming context if needed
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streaming_context = None
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if should_show_rich_stream:
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#print(f"\nDEBUG: Creating streaming context with initial stats:")
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#print(f"DEBUG: Model: {str(self.model)}")
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#print(f"DEBUG: Agent name: {self.agent_name}")
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#print(f"DEBUG: Counter: {self.interaction_counter}")
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streaming_context = create_agent_streaming_context(
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agent_name=self.agent_name,
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counter=self.interaction_counter,
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model=str(self.model)
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)
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print(f"DEBUG: Created streaming context: {streaming_context}")
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with generation_span(
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model=str(self.model),
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@ -772,7 +767,6 @@ class OpenAIChatCompletionsModel(Model):
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interaction_cost = max(float(interaction_cost if interaction_cost is not None else 0.0), 0.00001)
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total_cost = max(float(total_cost if total_cost is not None else 0.0), 0.00001)
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#print(f"DEBUG: Final direct cost calculations - Interaction: ${interaction_cost:.6f}, Total: ${total_cost:.6f}")
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# Create final stats with explicit type conversion for all values
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final_stats = {
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@ -791,20 +785,12 @@ class OpenAIChatCompletionsModel(Model):
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"total_cost": float(total_cost),
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}
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#print(f"DEBUG: Final stats costs (from dictionary) - Interaction: ${final_stats['interaction_cost']:.6f}, Total: ${final_stats['total_cost']:.6f}")
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#print(f"DEBUG: Cost types in dictionary - Interaction: {type(final_stats['interaction_cost'])}, Total: {type(final_stats['total_cost'])}")
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# At the end of streaming, finish the streaming context if we were using it
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if streaming_context:
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# Create a direct copy of the costs to ensure they remain as floats
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direct_stats = final_stats.copy()
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direct_stats["interaction_cost"] = float(interaction_cost)
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direct_stats["total_cost"] = float(total_cost)
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print(f"\nDEBUG: Final stats before finish_agent_streaming:")
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print(f"DEBUG: Direct stats costs - Interaction: ${direct_stats['interaction_cost']:.6f}, Total: ${direct_stats['total_cost']:.6f}")
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print(f"DEBUG: Direct stats types - Interaction: {type(direct_stats['interaction_cost'])}, Total: {type(direct_stats['total_cost'])}")
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# Use the direct copy with guaranteed float costs
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finish_agent_streaming(streaming_context, direct_stats)
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# If we're not using rich streaming and not suppressing output, use old method
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@ -367,7 +367,7 @@ def _create_token_display( # pylint: disable=too-many-arguments,too-many-locals
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current_cost = float(interaction_cost) if interaction_cost is not None else 0.0
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except (ValueError, TypeError):
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current_cost = 0.0
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# print(f"DEBUG _create_token_display: Current cost after conversion: {current_cost}")
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tokens_text.append(f"(${current_cost:.4f}) ", style="bold")
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# Separator
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@ -387,7 +387,7 @@ def _create_token_display( # pylint: disable=too-many-arguments,too-many-locals
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total_cost_value = float(total_cost) if total_cost is not None else 0.0
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except (ValueError, TypeError):
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total_cost_value = 0.0
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# print(f"DEBUG _create_token_display: Total cost after conversion: {total_cost_value}")
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tokens_text.append(f"(${total_cost_value:.4f}) ", style="bold")
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# Separator
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@ -586,13 +586,10 @@ def finish_agent_streaming(context, final_stats=None):
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total_output_tokens = final_stats.get("total_output_tokens")
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total_reasoning_tokens = final_stats.get("total_reasoning_tokens")
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# CRITICAL FIX: Ensure costs are properly extracted and preserved as floats
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# Ensure costs are properly extracted and preserved as floats
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interaction_cost = float(final_stats.get("interaction_cost", 0.0))
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total_cost = float(final_stats.get("total_cost", 0.0))
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#print(f"\nDEBUG finish_agent_streaming: Received costs from final_stats - Interaction: {interaction_cost}, Total: {total_cost}")
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#print(f"DEBUG finish_agent_streaming: Type of interaction_cost: {type(interaction_cost)}, Type of total_cost: {type(total_cost)}")
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if (interaction_input_tokens is not None and
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interaction_output_tokens is not None and
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interaction_reasoning_tokens is not None and
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@ -606,9 +603,6 @@ def finish_agent_streaming(context, final_stats=None):
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if total_cost is None or total_cost == 0.0:
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total_cost = calculate_model_cost(context["model"], total_input_tokens, total_output_tokens)
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#print(f"DEBUG finish_agent_streaming: Costs before passing to _create_token_display - Interaction: {interaction_cost}, Total: {total_cost}")
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#print(f"DEBUG finish_agent_streaming: Type of costs before passing - Interaction: {type(interaction_cost)}, Total: {type(total_cost)}")
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tokens_text = _create_token_display(
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interaction_input_tokens,
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interaction_output_tokens,
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