Unbound summary size

Signed-off-by: Tom Kaitchuck <Tom.Kaitchuck@gmail.com>

.env.template

@@ -5,8 +5,6 @@
 EXECUTE_LOCAL_COMMANDS=False
 # BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunk stored in memory
 BROWSE_CHUNK_MAX_LENGTH=8192
-# BROWSE_SUMMARY_MAX_TOKEN - Define the maximum length of the summary generated by GPT agent when browsing website
-BROWSE_SUMMARY_MAX_TOKEN=300
 # USER_AGENT - Define the user-agent used by the requests library to browse website (string)
 # USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"
 # AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml)

autogpt/config/config.py

@@ -33,7 +33,6 @@ class Config(metaclass=Singleton):
         self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000))
         self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))
         self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 8192))
-        self.browse_summary_max_token = int(os.getenv("BROWSE_SUMMARY_MAX_TOKEN", 300))
 
         self.openai_api_key = os.getenv("OPENAI_API_KEY")
         self.temperature = float(os.getenv("TEMPERATURE", "1"))
@@ -188,10 +187,6 @@ class Config(metaclass=Singleton):
         """Set the browse_website command chunk max length value."""
         self.browse_chunk_max_length = value
 
-    def set_browse_summary_max_token(self, value: int) -> None:
-        """Set the browse_website command summary max token value."""
-        self.browse_summary_max_token = value
-
     def set_openai_api_key(self, value: str) -> None:
         """Set the OpenAI API key value."""
         self.openai_api_key = value

autogpt/processing/text.py

@@ -78,7 +78,6 @@ def summarize_text(
         summary = create_chat_completion(
             model=CFG.fast_llm_model,
             messages=messages,
-            max_tokens=CFG.browse_summary_max_token,
         )
         summaries.append(summary)
         print(f"Added chunk {i + 1} summary to memory")
@@ -95,7 +94,6 @@ def summarize_text(
     return create_chat_completion(
         model=CFG.fast_llm_model,
         messages=messages,
-        max_tokens=CFG.browse_summary_max_token,
     )