Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -614,7 +614,7 @@ Your goal: Provide the EXACT answer in the EXACT format requested.
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chat_llm = ChatGroq(
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temperature=0, # Maximum determinism
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groq_api_key=GROQ_API_KEY,
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model_name="
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max_tokens=4096,
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timeout=60
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)
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@@ -651,35 +651,102 @@ Your goal: Provide the EXACT answer in the EXACT format requested.
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)
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return {"messages": [error_msg], "turn": current_turn}
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time.sleep(2 ** attempt) # Exponential backoff
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# ---
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if not ai_message.tool_calls and isinstance(ai_message.content, str) and ai_message.content.strip():
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re.DOTALL | re.IGNORECASE
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if
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json_str = json_match.group(1) or json_match.group(2)
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try:
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# --- Logging ---
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if ai_message.tool_calls:
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for tc in ai_message.tool_calls:
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chat_llm = ChatGroq(
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temperature=0, # Maximum determinism
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groq_api_key=GROQ_API_KEY,
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model_name="qwen/qwen3-32b", # Best reasoning model
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max_tokens=4096,
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timeout=60
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)
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)
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return {"messages": [error_msg], "turn": current_turn}
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time.sleep(2 ** attempt) # Exponential backoff
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# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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# --- ADD THIS RULE ENFORCEMENT BLOCK ---
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#
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# Force compliance with the "Plan on Turn 1" rule.
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# If the agent tries to call a tool on turn 1, we
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# strip the tool call and send a correction message.
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if current_turn == 1 and ai_message.tool_calls:
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print("⚠️ AGENT VIOLATION: Tried to call tools on Turn 1. Forcing replan.")
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# Strip the illegal tool call
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ai_message.tool_calls = []
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# Create a correction message
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correction_message = SystemMessage(
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content="SYSTEM: Protocol Violation. Your FIRST turn MUST be a plan with NO tool calls. "
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"You are not allowed to call any tools on your first turn. "
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"Re-read the protocol and provide your 2-3 sentence plan now."
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)
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# Return the (now harmless) AI message + the correction
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return {"messages": [ai_message, correction_message], "turn": current_turn}
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# --- END OF RULE ENFORCEMENT BLOCK ---
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# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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# --- FIX #2: REPLACE THE FALLBACK PARSING BLOCK ---
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#
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# --- Fallback Parsing ---
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# Check if LLM failed to format tool call and put it in 'content'
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if not ai_message.tool_calls and isinstance(ai_message.content, str) and ai_message.content.strip():
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content = ai_message.content
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tool_name = None
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tool_input = None
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# 1. Try to parse the new <function(tool_name)>{json}</function> format
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# Note: We look for </function> optionally, as it might be truncated
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func_match = re.search(
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r"<function\(([^)]+)\)>(\{.*?\})(?:</function>)?",
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content,
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re.DOTALL | re.IGNORECASE
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)
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if func_match:
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try:
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tool_name = func_match.group(1).strip()
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json_str = func_match.group(2)
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tool_input = json.loads(json_str)
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print(f"🔧 Fallback (Format 1): Parsed tool call for '{tool_name}'")
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except json.JSONDecodeError as e:
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print(f"⚠️ Fallback (Format 1): Failed to parse JSON: {e}")
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tool_name = None # Reset
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# 2. If Format 1 failed, try to parse bare JSON (old fallback)
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if not tool_name:
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json_match = re.search(
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r"```(?:json)?\s*(\{.*?\})\s*```|(\{.*?\})",
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content,
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re.DOTALL | re.IGNORECASE
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)
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if json_match:
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json_str = json_match.group(1) or json_match.group(2)
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try:
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parsed_json = json.loads(json_str)
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# This format is less structured; we guess tool from keys
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if isinstance(parsed_json, dict):
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if "tool" in parsed_json and "tool_input" in parsed_json:
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tool_name = parsed_json.get("tool")
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tool_input = parsed_json.get("tool_input", {})
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elif "code" in parsed_json: # Guess code_interpreter
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tool_name = "code_interpreter"
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tool_input = parsed_json
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elif "answer" in parsed_json: # Guess final_answer
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tool_name = "final_answer_tool"
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tool_input = parsed_json
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if tool_name:
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print(f"🔧 Fallback (Format 2): Parsed tool call for '{tool_name}'")
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except json.JSONDecodeError as e:
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print(f"⚠️ Fallback (Format 2): Failed to parse JSON: {e}")
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# --- If any fallback parser succeeded, build the tool call ---
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if tool_name and tool_input is not None and any(t.name == tool_name for t in self.tools):
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print(f"🔧 Fallback SUCCESS: Rebuilding tool call for '{tool_name}'")
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tool_call = ToolCall(
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name=tool_name,
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args=tool_input,
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id=str(uuid.uuid4())
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)
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ai_message.tool_calls = [tool_call]
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ai_message.content = "" # Clear content field
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elif not tool_name:
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print(f"⚠️ Fallback FAILED: Could not parse any tool call from content:\n{content[:200]}...")
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# --- END OF REPLACEMENT BLOCK ---
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# +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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# --- Logging ---
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if ai_message.tool_calls:
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for tc in ai_message.tool_calls:
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