mirror of https://github.com/aliasrobotics/cai.git
remove prints
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083d03c9a1
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@ -358,10 +358,10 @@ 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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#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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@ -772,7 +772,7 @@ 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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#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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@ -791,8 +791,8 @@ 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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#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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@ -577,7 +577,7 @@ def finish_agent_streaming(context, final_stats=None):
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# If we have token stats, add them
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tokens_text = None
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if final_stats:
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print(f"\nDEBUG finish_agent_streaming: Received final_stats: {final_stats}")
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#print(f"\nDEBUG finish_agent_streaming: Received final_stats: {final_stats}")
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interaction_input_tokens = final_stats.get("interaction_input_tokens")
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interaction_output_tokens = final_stats.get("interaction_output_tokens")
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@ -590,8 +590,8 @@ def finish_agent_streaming(context, final_stats=None):
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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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#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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@ -606,8 +606,8 @@ 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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#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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