Pjot/frankenbot
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

fix: Centralize all agent work to their work directories

Browse source 
- Move knowledge base from root to agents/orchestrator/knowledge/
- Move orphaned files (AKM, Event-Plan) to orchestrator/work/
- Update all kb_file paths to new location
- Change orchestrator stream to use work_dir instead of root
- Now ALL agents (including orchestrator) work in their own folders
- No more files created in project root
- Consistent work directory behavior across all agents
This commit is contained in:
pdyde 2026-02-21 17:48:30 +01:00
parent 4c03663418
commit 98ff812a82
12 changed files with 59 additions and 2344 deletions
Download patch file Download diff file Expand all files Collapse all files

18
app.py
View file

@ -492,8 +492,8 @@ def execute_agent_task(agent_key, user_prompt, extra_context=""):
# Memory-Zusammenfassung laden
memory_summary = get_agent_memory_summary(agent_key)
# Wissensdatenbank-Pfad (Agent holt sich selbst was er braucht)
kb_file = os.path.join(os.path.dirname(__file__), 'diversityball_knowledge.md')
# Wissensdatenbank-Pfad (im Orchestrator-Ordner)
kb_file = os.path.join(os.path.dirname(__file__), 'agents', 'orchestrator', 'knowledge', 'diversityball_knowledge.md')
# Team-Members laden (nur für Orchestrator)
team_summary = ""
@ -999,7 +999,7 @@ Bitte entscheide ob dieser Agent erstellt werden soll.""",
# Wenn Agent Wissensdatenbank lesen will, füge relevante Sektion zur Antwort hinzu
# (wird im Response-Text nicht sichtbar, aber Agent bekommt es als Context)
if read_kb_requests:
kb_file = os.path.join(os.path.dirname(__file__), 'diversityball_knowledge.md')
kb_file = os.path.join(os.path.dirname(__file__), 'agents', 'orchestrator', 'knowledge', 'diversityball_knowledge.md')
if os.path.exists(kb_file):
with open(kb_file, 'r', encoding='utf-8') as f:
kb_content = f.read()
@ -1174,7 +1174,7 @@ def create_new_agent(agent_key, role, skills):
return True
def load_knowledge_base():
kb_path = os.path.join(os.path.dirname(__file__), 'diversityball_knowledge.md')
kb_path = os.path.join(os.path.dirname(__file__), 'agents', 'orchestrator', 'knowledge', 'diversityball_knowledge.md')
if os.path.exists(kb_path):
with open(kb_path, 'r', encoding='utf-8') as f:
content = f.read()
@ -2231,7 +2231,7 @@ def chat_send():
dirs = ensure_agent_structure(agent_key)
work_dir = dirs['work_dir']
memory_summary = get_agent_memory_summary(agent_key)
kb_file = os.path.join(os.path.dirname(__file__), 'diversityball_knowledge.md')
kb_file = os.path.join(os.path.dirname(__file__), 'agents', 'orchestrator', 'knowledge', 'diversityball_knowledge.md')
team_summary = ""
if agent_key == 'orchestrator':
@ -2358,7 +2358,7 @@ def agent_stream():
agent_name = agent_info.get('name', selected_agent)
system_prompt = get_agent_prompt(selected_agent)
kb_file = os.path.join(os.path.dirname(__file__), 'diversityball_knowledge.md')
kb_file = os.path.join(os.path.dirname(__file__), 'agents', 'orchestrator', 'knowledge', 'diversityball_knowledge.md')
kb_content = ""
if os.path.exists(kb_file):
with open(kb_file, 'r', encoding='utf-8') as f:
@ -2378,13 +2378,17 @@ def agent_stream():
yield f"data: {json.dumps({'type': 'processing', 'message': f'⏳ {agent_name} arbeitet...'})}\n\n"
try:
# Agent work directory sicherstellen
dirs = ensure_agent_structure(selected_agent)
work_dir = dirs['work_dir']
model = get_agent_model(selected_agent)
proc = subprocess.Popen(
['opencode', 'run', '--model', model, '--format', 'json', full_prompt],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
cwd=os.path.dirname(__file__)
cwd=work_dir # Agent arbeitet in seinem work-Verzeichnis
)
# Jede Zeile sofort aus opencode lesen und streamen