metadata title: OrgSim
emoji: 🏢
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
app_port: 8000
tags: openenv,multi-agent,organization,simulation
OrgSim — Organization Simulation Environment
A real-world organizational workflow environment for RL agent training. Agents must triage tasks,
manage shared resources, coordinate across teams via escalation, and complete work before deadlines.
Environment Description
OrgSim simulates a 3-team startup (Engineering, Sales, Operations) where an AI agent acts as a
team member. Unlike game environments, OrgSim tests skills directly transferable to AI work assistants:
prioritization under time pressure, resource contention, and cross-functional escalation judgment.
Action Space
Action
Description
Required payload
REQUEST_TASK
Pull next task from team queue
none
ACCEPT_TASK
Accept a specific task
task_id
COMPLETE_TASK
Mark task done
task_id
REQUEST_HELP
Ask for help (advances progress +0.2)
task_id
PROVIDE_HELP
Respond to help request (+0.3 progress)
task_id
ESCALATE
Escalate cross-team or stuck task
task_id
REQUEST_RESOURCE
Lock shared resource
resource_id
REPORT_STATUS
No-op
none
Observation Space
Field
Type
Description
my_agent_id
str
Agent's ID
my_team
str
Team (engineering/sales/operations)
my_role
str
lead or member
available_tasks
list[dict]
Unassigned tasks in my team
active_task
dict|None
Currently assigned task
inbox
list[dict]
Messages addressed to me
team_status
dict
Per-team busy/total counts
resources
dict[str, bool]
Resource availability (True = unlocked)
metrics
dict
Episode metrics (completed/failed/escalated counts)
Tasks (Easy → Medium → Hard)
Task ID
Difficulty
Description
Optimal steps
solo_bug_fix
Easy
Fix one high-priority bug before deadline
~4
cross_team_launch
Medium
Complete eng feature + escalate sales task
~8
startup_crisis
Hard
Triage critical incident + resource-gated feature + cross-team client
~12
Baseline Scores
Scores produced by GPT-4o baseline agent (inference.py):
Task
Score
Steps
solo_bug_fix
~0.75
4–6
cross_team_launch
~0.55
7–10
startup_crisis
~0.30
10–15
Setup
Local
pip install -e ./org_sim
python -m org_sim.server.app
Docker
docker build -t org-sim:latest -f org_sim/server/Dockerfile .
docker run -p 8000:8000 \
-e API_BASE_URL=<endpoint> \
-e MODEL_NAME=<model> \
-e HF_TOKEN=<token> \
org-sim:latest
Run Inference
export API_BASE_URL=https://...
export MODEL_NAME=gpt-4o
export HF_TOKEN=hf_...
export ORGSIM_ENV_URL=http://localhost:8000
python inference.py
Environment Variables
Variable
Required
Default
Description
API_BASE_URL
Yes
—
LLM API endpoint
MODEL_NAME
Yes
gpt-4o
Model identifier
HF_TOKEN
Yes
—
HuggingFace / API key
ORGSIM_ENV_URL
No
http://localhost:8000 Environment server URL
ORGSIM_MAX_STEPS
No
50
Max steps per episode
