Print total api costs

gpt_engineer/ai.py

@@ -9,6 +9,7 @@
 import openai
 import tiktoken
 
+from langchain.callbacks.openai_info import MODEL_COST_PER_1K_TOKENS
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 from langchain.chat_models import AzureChatOpenAI, ChatOpenAI
 from langchain.chat_models.base import BaseChatModel
@@ -271,6 +272,24 @@ def format_token_usage_log(self) -> str:
             result += str(log.total_tokens) + "\n"
         return result
 
+    def usage_cost(self) -> float:
+        """
+        Return the total cost in USD of the api usage.
+
+        Returns
+        -------
+        float
+            Cost in USD.
+        """
+        prompt_price = MODEL_COST_PER_1K_TOKENS[self.model_name]
+        completion_price = MODEL_COST_PER_1K_TOKENS[self.model_name + "-completion"]
+
+        result = 0
+        for log in self.token_usage_log:
+            result += log.total_prompt_tokens / 1000 * prompt_price
+            result += log.total_completion_tokens / 1000 * completion_price
+        return result
+
     def num_tokens(self, txt: str) -> int:
         """
         Get the number of tokens in a text.

gpt_engineer/main.py

@@ -96,6 +96,8 @@ def main(
         messages = step(ai, dbs)
         dbs.logs[step.__name__] = AI.serialize_messages(messages)
 
+    print("Total api cost: $ ", ai.usage_cost())
+
     if collect_consent():
         collect_learnings(model, temperature, steps, dbs)