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# agent.py
import json
from typing import Dict, Any
from re_act import (
get_plan_from_llm,
think,
act,
store_name_email_mapping,
extract_sender_info,
client
)
from schemas import PlanStep
from logger import logger # from logger.py
def run_agent():
"""
Main REPL loop for the email agent.
"""
logger.info("Starting Email Agent REPL...")
print("🤖 Email Agent ready. Type 'exit' to quit.\n")
while True:
try:
user_query = input("🗨 You: ").strip()
logger.info("Received user input: %s", user_query)
if user_query.lower() in ("exit", "quit"):
logger.info("Exit command detected, shutting down agent.")
print("👋 Goodbye!")
break
# 1) Generate plan
try:
plan = get_plan_from_llm(user_query)
logger.debug("Generated plan: %s", plan)
except Exception as e:
logger.error("Failed to generate plan: %s", e)
print(f"❌ Could not generate a plan: {e}")
continue
# print plan for user transparency
print("\n\n plan:")
print(plan)
print("\n\n")
results: Dict[str, Any] = {}
# 2) Execute each plan step
for step in plan.plan:
logger.info("Processing step: %s", step.action)
if step.action == "done":
logger.info("Encountered 'done' action. Plan complete.")
print("✅ Plan complete.")
break
try:
should_run, updated_step, user_prompt = think(step, results, user_query)
logger.debug(
"Think outcome for '%s': should_run=%s, updated_step=%s, user_prompt=%s",
step.action, should_run, updated_step, user_prompt
)
except Exception as e:
logger.error("Error in think() for step '%s': %s", step.action, e)
print(f"❌ Error in planning step '{step.action}': {e}")
break
# Handle user prompt (e.g., missing email mapping)
if user_prompt:
logger.info("User prompt required: %s", user_prompt)
print(f"❓ {user_prompt}")
user_input = input("📧 Email: ").strip()
try:
sender_info = extract_sender_info(user_query)
sender_intent = sender_info.get("sender_intent", "")
store_name_email_mapping(sender_intent, user_input)
logger.info("Stored mapping: %s -> %s", sender_intent, user_input)
print(f"✅ Stored mapping: {sender_intent} → {user_input}")
# Retry current step
should_run, updated_step, _ = think(step, results, user_query)
logger.debug(
"Post-mapping think outcome: should_run=%s, updated_step=%s",
should_run, updated_step
)
except Exception as e:
logger.error("Error storing mapping or retrying step '%s': %s", step.action, e)
print(f"❌ Error storing mapping or retrying step: {e}")
break
if not should_run:
logger.info("Skipping step: %s", step.action)
print(f"⏭️ Skipping `{step.action}`")
continue
# Execute the action
try:
output = act(updated_step)
results[updated_step.action] = output
logger.info("Action '%s' executed successfully.", updated_step.action)
print(f"🔧 Ran `{updated_step.action}` → {output}")
except Exception as e:
logger.error("Error executing action '%s': %s", updated_step.action, e)
print(f"❌ Error running `{updated_step.action}`: {e}")
break
# 3) Summarize results via LLM
try:
summary_rsp = client.chat.completions.create(
model="gpt-4o-mini",
temperature=0.0,
messages=[
{"role": "system", "content": "Summarize these results for the user in a friendly way."},
{"role": "assistant", "content": json.dumps(results)}
],
)
summary = summary_rsp.choices[0].message.content
logger.info("Summary generated successfully.")
print("\n📋 Summary:\n" + summary)
except Exception as e:
logger.error("Failed to generate summary: %s", e)
print("\n❌ Failed to generate summary.")
print("\nAnything else I can help you with?\n")
except KeyboardInterrupt:
logger.info("KeyboardInterrupt received, shutting down.")
print("\n👋 Goodbye!")
break
except Exception as e:
logger.exception("Unexpected error in REPL loop: %s", e)
print(f"❌ Unexpected error: {e}")
continue
if __name__ == "__main__":
run_agent()
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