3.2.4b pal v4 render
[2.4b] pal_v4 deploy to render (BINGO) 26.0329-30
the full deployed flow is working on Render:
• auth works
• data persisted for this session
• /run works
• multi-step plan works
• compare works
• structured JSON comes back
So yes — PAL_v4 is now a working deployed AI app.
Yes — Render is a reasonable place to deploy PAL_v4, if you turn it into a small web app first.
Best pattern:
• keep pal_v4.py as your core logic
• wrap it in FastAPI
• deploy that on Render Web Service
Render supports Python web services, and their FastAPI docs use a start command like:
uvicorn main:app --host 0.0.0.0 --port $PORT
So not:
• just “upload random .py script”
Better:
• main.py with FastAPI endpoint
• endpoint calls your PAL logic
• Render runs it as an HTTP service
If PAL_v4 is long-running or does background jobs, Render also has Background Workers and Cron Jobs.
Briefly:
• simple API app → Render web service
• scheduled / async jobs → Render worker or cron
• one Python script only → possible, but wrapping with FastAPI is the cleaner way
My recommendation:
Yes, Render + FastAPI is a good first deployment path for PAL_v4.
# pal_v4_main.py
from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel
import os
# import your existing logic
#from pal_v4 import run_plan # <-- adjust this
# from pal_v4 import run_plan, run_ingest
# --- FIX: use Mongo version ---
#from pal_v5_mongo import run_plan, run_ingest
from pal_v7_patterns import (
load_events, run_plan, run_ingest, run_recurring_problems,
run_problem_locations, run_status_summary, run_delete,
run_priority_rank, run_entity_history, run_compare_filters,
run_compare_filters_explain
)
# --------------------------------
app = FastAPI()
# --- API AUTH 01 ---
API_KEY = os.getenv("PAL_API_KEY")
def check_api_key(x_api_key: str = Header(default="")):
print(API_KEY)
print(x_api_key)
if not API_KEY or x_api_key != API_KEY:
raise HTTPException(status_code=401, detail="Unauthorized")
class Request(BaseModel):
prompt: str
# --- API INGEST 02 ---
class EventRequest(BaseModel):
entity: str
event_type: str
location: str
status: str
note: str
timestamp: str | None = None
@app.get("/")
def root():
return {"status": "ok"}
#If you want direct check>>> Add this endpoint (optional):
@app.get("/events")
def get_events():
return load_events()
# --- API FIX 03 + AUTH ---
@app.post("/run")
def run(req: Request, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_plan(req.prompt)
# --- API INGEST 03 ---
@app.post("/ingest")
def ingest(req: EventRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_ingest(req.model_dump(exclude_none=True))
# --- S2B 03 ---
@app.get("/recurring_problems")
def recurring_problems(x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_recurring_problems()
# ----------------
# --- S2B 07 ---
@app.get("/problem_locations")
def problem_locations(x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_problem_locations()
@app.get("/status_summary")
def status_summary(x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_status_summary()
# ----------------
# --- S4 02 ---
class DeleteRequest(BaseModel):
filter: dict
@app.post("/delete")
def delete(req: DeleteRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_delete(req.filter)
# ----------------
#166
class PriorityRankRequest(BaseModel):
filter: dict = {}
#166
@app.post("/priority_rank")
def priority_rank(req: PriorityRankRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_priority_rank(req.filter)
#168
class EntityHistoryRequest(BaseModel):
entity: str
@app.post("/entity_history")
def entity_history(req: EntityHistoryRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_entity_history(req.entity)
#170
class CompareFiltersRequest(BaseModel):
filter_a: dict = {}
filter_b: dict = {}
@app.post("/compare_filters")
def compare_filters(req: CompareFiltersRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_compare_filters(req.filter_a, req.filter_b)
#172
@app.post("/compare_filters_explain")
def compare_filters_explain(req: CompareFiltersRequest, x_api_key: str = Header(default="")):
check_api_key(x_api_key)
return run_compare_filters_explain(req.filter_a, req.filter_b)
Add this event
curl -X POST https://pal-app-1qax.onrender.com/ingest \
-H "Content-Type: application/json" \
-H "x-api-key: SxBx" \
-d '{"entity":"truck_31","event_type":"shipment","location":"tainan","status":"blocked","note":"road closure"}'
$ curl -X POST https://pal-app-1qax.onrender.com/ingest \
-H "Content-Type: application/json" \
-H "x-api-key: SxBx" \
-d '{"entity":"truck_31","event_type":"shipment","location":"tainan","status":"blocked","note":"road closure"}'
{"ok":true,"event":{"entity":"truck_31","event_type":"shipment","location":"tainan","status":"blocked","note":"road closure","timestamp":"2026-03-29T15:19:15.102645+00:00"}}(venv)
terry@LAPTOP-HKPDHF7M MINGW64 ~/Downloads/d1_agent (main)
--------------------------
Now use a compare prompt
curl -X POST https://pal-app-1qax.onrender.com/run \
-H "Content-Type: application/json" \
-H "x-api-key: SxBx" \
-d '{"prompt":"Compare delayed shipments in Taipei vs blocked shipments in Tainan"}'
terry@LAPTOP-HKPDHF7M MINGW64 ~/Downloads/d1_agent (main)
$ curl -X POST https://pal-app-1qax.onrender.com/run \
-H "Content-Type: application/json" \
-H "x-api-key: SxBx" \
-d '{"prompt":"Compare delayed shipments in Taipei vs blocked shipments in Tainan"}'
{"ok":true,"result":{"s1":{"action":"query","filter_mode":"filter","filter":{"status":"delayed","location":"taipei"},"events":[{"entity":"truck_99","event_type":"shipment","location":"taipei","status":"delayed","note":"flat tire","timestamp":"2026-03-29T14:37:23.824843+00:00"}],"analysis":{"summary":"One shipment event from truck_99 is delayed in Taipei due to a flat tire.","abnormal_events":[{"entity":"truck_99","event_type":"shipment","location":"taipei","status":"delayed","reason":"flat tire"}],"problem_entities":["truck_99"],"problem_locations":["taipei"]}},"s2":{"action":"query","filter_mode":"filter","filter":{"status":"blocked","location":"tainan"},"events":[{"entity":"truck_31","event_type":"shipment","location":"tainan","status":"blocked","note":"road closure","timestamp":"2026-03-29T15:19:15.102645+00:00"}],"analysis":{"summary":"One shipment event is blocked due to a road closure in Tainan.","abnormal_events":[{"entity":"truck_31","event_type":"shipment","location":"tainan","status":"blocked","reason":"road closure"}],"problem_entities":["truck_31"],"problem_locations":["tainan"]}},"s3":{"action":"compare","inputs":["s1","s2"],"comparison":{"summary":"Both subsets contain one event each, with delayed shipments in Taipei due to a flat tire and blocked shipments in Tainan due to a road closure.","subset_a":{"label":"s1:{\"status\": \"delayed\", \"location\": \"taipei\"}","count":1,"problem_entities":["truck_99"],"problem_locations":["taipei"]},"subset_b":{"label":"s2:{\"status\": \"blocked\", \"location\": \"tainan\"}","count":1,"problem_entities":["truck_31"],"problem_locations":["tainan"]},"differences":["Subset A contains delayed shipments while Subset B contains blocked shipments.","Subset A has an issue with truck_99 in Taipei, while Subset B has an issue with truck_31 in Tainan.","The cause for the problems differs: flat tire in Taipei vs road closure in Tainan."]}}}}(venv)
terry@LAPTOP-HKPDHF7M MINGW64 ~/Downloads/d1_agent (main)
{
"ok":true,
"result":{
"s1":{
"action":"query",
"filter_mode":"filter",
"filter":{
"status":"delayed",
"location":"taipei"
},
"events":[
{
"entity":"truck_99",
"event_type":"shipment",
"location":"taipei",
"status":"delayed",
"note":"flat tire",
"timestamp":"2026-03-29T14:37:23.824843+00:00"
}
],
"analysis":{
"summary":"One shipment event from truck_99 is delayed in Taipei due to a flat tire.",
"abnormal_events":[
{
"entity":"truck_99",
"event_type":"shipment",
"location":"taipei",
"status":"delayed",
"reason":"flat tire"
}
],
"problem_entities":[
"truck_99"
],
"problem_locations":[
"taipei"
]
}
},
"s2":{
"action":"query",
"filter_mode":"filter",
"filter":{
"status":"blocked",
"location":"tainan"
},
"events":[
{
"entity":"truck_31",
"event_type":"shipment",
"location":"tainan",
"status":"blocked",
"note":"road closure",
"timestamp":"2026-03-29T15:19:15.102645+00:00"
}
],
"analysis":{
"summary":"One shipment event is blocked due to a road closure in Tainan.",
"abnormal_events":[
{
"entity":"truck_31",
"event_type":"shipment",
"location":"tainan",
"status":"blocked",
"reason":"road closure"
}
],
"problem_entities":[
"truck_31"
],
"problem_locations":[
"tainan"
]
}
},
"s3":{
"action":"compare",
"inputs":[
"s1",
"s2"
],
"comparison":{
"summary":"Both subsets contain one event each, with delayed shipments in Taipei due to a flat tire and blocked shipments in Tainan due to a road closure.",
"subset_a":{
"label":"s1:{\"status\": \"delayed\", \"location\": \"taipei\"}",
"count":1,
"problem_entities":[
"truck_99"
],
"problem_locations":[
"taipei"
]
},
"subset_b":{
"label":"s2:{\"status\": \"blocked\", \"location\": \"tainan\"}",
"count":1,
"problem_entities":[
"truck_31"
],
"problem_locations":[
"tainan"
]
},
"differences":[
"Subset A contains delayed shipments while Subset B contains blocked shipments.",
"Subset A has an issue with truck_99 in Taipei, while Subset B has an issue with truck_31 in Tainan.",
"The cause for the problems differs: flat tire in Taipei vs road closure in Tainan."
]
}
}
}
}