Chris Christiansen
9fcb9c354a
Some checks are pending
Check Python Version Consistency / Check Python Version (push) Waiting to run
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# agents/core-logic/hypertuner.py
|
|
|
|
from google.cloud import bigquery
|
|
|
|
# Configuration
|
|
BIGQUERY_PROJECT = "propane-will-491900-m5"
|
|
BIGQUERY_DATASET = "osvauco_logs"
|
|
BIGQUERY_TABLE = "cloud_run_logs"
|
|
RESPONSE_TIME_THRESHOLD = 1000 # in milliseconds
|
|
|
|
def adjust_prompt_parameters():
|
|
"""
|
|
Reads telemetry data from BigQuery, analyzes response times,
|
|
and adjusts prompt parameters accordingly.
|
|
"""
|
|
try:
|
|
client = bigquery.Client(project=BIGQUERY_PROJECT)
|
|
table_id = f"{BIGQUERY_PROJECT}.{BIGQUERY_DATASET}.{BIGQUERY_TABLE}"
|
|
|
|
# 1. Query response time data from BigQuery
|
|
query = f"""
|
|
SELECT AVG(latency_ms) as avg_latency
|
|
FROM `{table_id}`
|
|
WHERE timestamp > TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 HOUR)
|
|
"""
|
|
query_job = client.query(query)
|
|
results = query_job.result()
|
|
|
|
for row in results:
|
|
avg_latency = row.avg_latency
|
|
print(f"Average response time in the last hour: {avg_latency} ms")
|
|
|
|
# 2. Adjust prompt parameters based on response time
|
|
if avg_latency > RESPONSE_TIME_THRESHOLD:
|
|
print("Response time is high. Adjusting prompt parameters to reduce complexity.")
|
|
# Placeholder for logic to adjust prompt parameters
|
|
# For example, reduce max_tokens, use a simpler model, etc.
|
|
pass
|
|
else:
|
|
print("Response time is within acceptable limits.")
|
|
|
|
except Exception as e:
|
|
print(f"An error occurred: {e}")
|
|
|
|
if __name__ == "__main__":
|
|
adjust_prompt_parameters()
|