Files
erlm/utils.py
T
morpheus f70c9b2054 **feat: refactor agent loop to state machine with dynamic trajectory checks**
- Replace hard-coded `MAX_REPL_STEPS` death-limit with a dynamic Checkpoint Interval.
- Introduce 4-phase state machine: `PLANNING`, `EXECUTING`, `TRAJECTORY_CHECK`, and `PIVOTING`.
- Add Trajectory Checks allowing the agent to self-assess progress against defined success criteria to extend its execution budget.
- Implement Hard (wipe strategy/kernel) and Soft (retry step) Pivoting logic.
- Establish persistent notebook-style kernel (flushed only on Hard Pivots).
- Upgrade sandbox safety with strict import whitelisting, dunder blocking, and taint tracking.

**bugfix:

- logging_config.py: Add markdown_it to suppressed logger list
- utils.py: Rewrite save_agent_trace for delta-based logging
- edge_rlm.py: Add last_trace_msg_count tracking and pass deltas at all 3 call sites
2026-07-18 20:47:44 +01:00

322 lines
12 KiB
Python

import os
import sys
import time
import logging
import json
import ast
from rich.console import Console
from rich.panel import Panel
logger = logging.getLogger(__name__)
console = Console()
WHITELISTED_IMPORTS = {
"json", "math", "datetime", "re", "collections",
"statistics", "random", "difflib", "string",
}
DANGEROUS_BUILTINS = {"eval", "exec", "compile"}
def init_trace_file(log_dir="logs"):
if not os.path.exists(log_dir):
os.makedirs(log_dir)
timestamp = time.strftime("%Y%m%d-%H%M%S")
filename = os.path.join(log_dir, f"trace_{timestamp}.json")
logger.debug("Trace logging initialized: %s", filename)
return filename
def save_agent_trace(filepath, new_messages, step=0, state=None, plan_step=0, total_messages=0):
try:
data_to_save = {
"timestamp": time.time(),
"step": step,
"state": state,
"plan_step": plan_step,
"total_messages": total_messages,
"new_messages": new_messages,
}
with open(filepath, 'a', encoding='utf-8') as f:
f.write(json.dumps(data_to_save, ensure_ascii=False) + "\n")
except Exception as e:
logger.error("Failed to save trace file: %s", e)
def _check_dunder_access(node):
if isinstance(node, ast.Attribute) and node.attr.startswith("__") and node.attr.endswith("__"):
return True
if isinstance(node, ast.Subscript):
if isinstance(node.slice, ast.Constant) and isinstance(node.slice.value, str):
if node.slice.value.startswith("__") and node.slice.value.endswith("__"):
return True
return False
def _analyze_code_safety(code_str):
try:
tree = ast.parse(code_str)
except SyntaxError as e:
return False, f"SyntaxError: {e.msg}", e.lineno
tainted_vars = {"RAW_CORPUS"}
has_print = False
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
if alias.name not in WHITELISTED_IMPORTS:
return False, f"Import Violation: '{alias.name}' is not whitelisted. Allowed: {', '.join(sorted(WHITELISTED_IMPORTS))}.", node.lineno
if isinstance(node, ast.ImportFrom):
if node.module not in WHITELISTED_IMPORTS:
return False, f"Import Violation: '{node.module}' is not whitelisted. Allowed: {', '.join(sorted(WHITELISTED_IMPORTS))}.", node.lineno
if _check_dunder_access(node):
name = None
if isinstance(node, ast.Attribute):
name = node.attr
elif isinstance(node, ast.Subscript):
name = getattr(node.slice, 'value', getattr(node.slice, 's', None))
return False, f"Dunder Access Violation: Accessing '{name}' is forbidden.", getattr(node, 'lineno', None)
if isinstance(node, ast.Assign):
if isinstance(node.value, ast.Name) and node.value.id in tainted_vars:
for target in node.targets:
if isinstance(target, ast.Name):
tainted_vars.add(target.id)
if isinstance(node, ast.Call):
if isinstance(node.func, ast.Name):
if node.func.id in DANGEROUS_BUILTINS:
return False, f"Builtin Violation: '{node.func.id}()' is forbidden.", node.lineno
if isinstance(node.func, ast.Name) and node.func.id == 'print':
has_print = True
for arg in node.args:
if isinstance(arg, ast.Name) and arg.id in tainted_vars:
return False, f"Safety Violation: Printing '{arg.id}' (RAW_CORPUS). Use slicing.", node.lineno
is_re_compile = False
if isinstance(node.func, ast.Attribute) and node.func.attr == 'compile':
is_re_compile = True
elif isinstance(node.func, ast.Name) and node.func.id == 'compile':
is_re_compile = True
if is_re_compile and len(node.args) > 2:
return False, "Library Usage Error: `re.compile` accepts max 2 args.", node.lineno
if not has_print:
return False, "Observability Error: No `print()` statements found.", None
return True, None, None
def _extract_context_block(code_str, target_lineno):
lines = code_str.split('\n')
idx = target_lineno - 1
if idx < 0: idx = 0
if idx >= len(lines): idx = len(lines) - 1
start_idx = idx
end_idx = idx
while start_idx > 0:
if lines[start_idx - 1].strip() == "":
break
start_idx -= 1
while end_idx < len(lines) - 1:
if lines[end_idx + 1].strip() == "":
break
end_idx += 1
snippet_lines = lines[start_idx : end_idx + 1]
return start_idx, end_idx, "\n".join(snippet_lines)
def safeguard_and_repair(debug, client, messages, schema, original_code):
is_safe, error_msg, line_no = _analyze_code_safety(original_code)
if is_safe:
return original_code
logger.warning("Safeguard triggered: %s (Line: %s)", error_msg, line_no)
if debug:
console.print(Panel(f"{error_msg}", title="Safeguard Interrupt", style="bold red"))
console.print(Panel(
f"[italic]{error_msg}[/italic]",
title="Unsafe Code",
title_align="left",
border_style="hot_pink2"
))
if line_no is not None:
start_idx, end_idx, snippet = _extract_context_block(original_code, line_no)
repair_messages = [
{"role": "system", "content": "You are a code repair assistant. Output only the fixed code snippet in the JSON content field."},
{"role": "user", "content": (
f"The following Python code snippet failed validation.\n"
f"Error: {error_msg} (occurred around line {line_no})\n\n"
f"```python\n{snippet}\n```\n\n"
f"Return the JSON with the fixed snippet. "
f"Maintain original indentation. Add a comment (# FIXED) to changed lines."
)}
]
if debug:
console.print(Panel(f"{snippet}", title="Attempting Snippet Repair", style="light_goldenrod1"))
response_text = client.completion(repair_messages, schema=schema, temperature=0.0)
try:
response_json = json.loads(response_text)
fixed_snippet = response_json.get("content", "")
if debug:
console.print(Panel(f"{fixed_snippet}", title="Repaired Snippet", style="yellow1"))
all_lines = original_code.split('\n')
pre_block = all_lines[:start_idx]
post_block = all_lines[end_idx + 1:]
full_fixed_code = "\n".join(pre_block + [fixed_snippet] + post_block)
return full_fixed_code
except json.JSONDecodeError:
logger.error("Snippet repair failed to parse. Falling back to full repair.")
repair_messages = messages + [
{"role": "assistant", "content": json.dumps({
"thought": "Drafting code...",
"action": "execute_python",
"content": original_code
})},
{"role": "user", "content": (
f"SYSTEM INTERRUPT: Your code failed pre-flight safety checks.\n"
f"Error: {error_msg}\n\n"
f"Generate the JSON response again with CORRECTED Python code.\n"
f"IMPORTANT: You must add a comment (# FIXED: ...) to the corrected line."
)}
]
response_text = client.completion(repair_messages, schema=schema, temperature=0.0)
try:
response_json = json.loads(response_text)
return response_json.get("content", "")
except json.JSONDecodeError:
return ""
def compress_history(client, messages, keep_last_pairs=2):
keep_count = keep_last_pairs * 2
if len(messages) < (2 + 2 + keep_count):
logger.warning("History too short to compress, but context is full. Crashing safely.")
return messages
to_compress = messages[2:-keep_count]
history_text = ""
for msg in to_compress:
role = msg['role'].upper()
content = msg['content']
history_text += f"[{role}]: {content}\n"
summary_prompt = (
"You are a technical documentation assistant. "
"Summarize the following interaction history between an AI Agent and a System. "
"Focus on: 1. Code executed, 2. Errors encountered, 3. Specific data/variables discovered. "
"Be concise. Do not chat.\n\n"
f"--- HISTORY START ---\n{history_text}\n--- HISTORY END ---"
)
logger.debug("Compressing %d messages...", len(to_compress))
summary_text = client.completion([{"role": "user", "content": summary_prompt}])
summary_message = {
"role": "user",
"content": f"[SYSTEM SUMMARY OF PREVIOUS ACTIONS]\n{summary_text}"
}
new_messages = [messages[0], messages[1]] + [summary_message] + messages[-keep_count:]
logger.info("Compression complete. Reduced %d msgs to %d.", len(messages), len(new_messages))
return new_messages
def generate_final_report(client, task_text, raw_answer):
system_prompt = (
"You are a professional report writer. "
"Your goal is to convert the provided Raw Data into a clear, concise, "
"and well-formatted response to the User's original request. "
"Do not add new facts. Just format and explain the existing data."
)
user_prompt = f"""### USER REQUEST
{task_text}
### RAW DATA COLLECTED
{raw_answer}
### INSTRUCTION
Write the final response in natural language (Markdown).
"""
logger.debug("Generating natural language report...")
return client.completion([
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
])
def validate_plan_object(obj):
if not isinstance(obj, dict):
return False, "PlanObject must be a JSON object."
for key in ("goal", "strategy", "success_criteria"):
if key not in obj:
return False, f"PlanObject missing required key '{key}'."
if not isinstance(obj["goal"], str) or not obj["goal"].strip():
return False, "PlanObject 'goal' must be a non-empty string."
if not isinstance(obj["strategy"], list) or len(obj["strategy"]) == 0:
return False, "PlanObject 'strategy' must be a non-empty list of strings."
if not isinstance(obj["success_criteria"], list) or len(obj["success_criteria"]) == 0:
return False, "PlanObject 'success_criteria' must be a non-empty list of strings."
if len(obj["strategy"]) != len(obj["success_criteria"]):
return False, "PlanObject 'strategy' and 'success_criteria' must have the same length."
for i, s in enumerate(obj["strategy"]):
if not isinstance(s, str) or not s.strip():
return False, f"PlanObject 'strategy[{i}]' must be a non-empty string."
for i, s in enumerate(obj["success_criteria"]):
if not isinstance(s, str) or not s.strip():
return False, f"PlanObject 'success_criteria[{i}]' must be a non-empty string."
return True, None
def validate_pivot_object(obj):
if not isinstance(obj, dict):
return False, "PivotObject must be a JSON object."
if "diagnosis" not in obj:
return False, "PivotObject missing required key 'diagnosis'."
if not isinstance(obj["diagnosis"], str) or not obj["diagnosis"].strip():
return False, "PivotObject 'diagnosis' must be a non-empty string."
if "new_strategy" in obj or "new_success_criteria" in obj:
if "new_strategy" not in obj or "new_success_criteria" not in obj:
return False, "PivotObject: 'new_strategy' and 'new_success_criteria' must both be present or both omitted."
if not isinstance(obj["new_strategy"], list) or len(obj["new_strategy"]) == 0:
return False, "PivotObject 'new_strategy' must be a non-empty list of strings."
if not isinstance(obj["new_success_criteria"], list) or len(obj["new_success_criteria"]) == 0:
return False, "PivotObject 'new_success_criteria' must be a non-empty list of strings."
if len(obj["new_strategy"]) != len(obj["new_success_criteria"]):
return False, "PivotObject 'new_strategy' and 'new_success_criteria' must have the same length."
return True, None
def load_file(filepath):
try:
with open(filepath, 'r', encoding='utf-8') as f:
return f.read()
except FileNotFoundError:
logger.error("File not found: %s", filepath)
sys.exit(1)