- eveai_chat_client updated to retrieve static files from the correct (bunny.net) location when a STATIC_URL is defined.

- Defined locations for crewai crew memory. This failed in k8s.
- Redis connection for pub/sub in ExecutionProgressTracker adapted to conform to TLS-enabled connections

eveai_chat_workers/__init__.py

@@ -32,6 +32,13 @@ def create_app(config_file=None):
 
     register_cache_handlers(app)
 
+    # Initialize dedicated Redis pubsub pool for ExecutionProgressTracker
+    try:
+        from common.utils.redis_pubsub_pool import create_pubsub_pool
+        create_pubsub_pool(app)
+    except Exception as e:
+        app.logger.error(f"Failed to initialize Redis pubsub pool: {e}")
+
     from . import specialists, retrievers
 
     celery = make_celery(app.name, app.config)

eveai_chat_workers/specialists/crewai_base_classes.py

@@ -1,5 +1,7 @@
 import asyncio
 import json
+import os
+import tempfile
 import time
 from abc import abstractmethod
 
@@ -8,7 +10,7 @@ from crewai.agents.parser import AgentAction, AgentFinish
 from crewai.crews import CrewOutput
 from crewai.tools import BaseTool
 from flask import current_app
-from pydantic import BaseModel, create_model, Field, ConfigDict
+from pydantic import BaseModel, create_model, Field, ConfigDict, PrivateAttr
 from typing import Dict, Type, get_type_hints, Optional, List, Any, Callable
 
 from common.utils.business_event_context import current_event
@@ -74,12 +76,20 @@ class EveAICrewAICrew(Crew):
     specialist: Any = Field(default=None, exclude=True)
     name: str = Field(default=None, exclude=True)
     model_config = ConfigDict(arbitrary_types_allowed=True)
+    _tmp_dir = PrivateAttr(default=None)
 
     def __init__(self, specialist, name: str, **kwargs):
         if specialist.tuning:
-            kwargs['output_log_file'] = f"/app/logs/crew_{name}.txt"
+            base_dir = f"/app/logs/crew_{name}/{specialist.task_id}"
+        else:
+            self._tmp_dir = tempfile.TemporaryDirectory(prefix="crewai-")
+            base_dir = self._tmp_dir.name
+        os.environ["CREWAI_STORAGE_DIR"] = base_dir
+        os.environ["CREWAI_STORAGE_PATH"] = base_dir
+        kwargs['output_log_file'] = f"{base_dir}/specialist_log.json"
 
         super().__init__(**kwargs)
+
         self.specialist = specialist
         self.name = name