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waynehamadi committed Jul 27, 2023
1 parent 7d2c426 commit 22c1880
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2 changes: 1 addition & 1 deletion agbenchmark/conftest.py
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Expand Up @@ -5,9 +5,9 @@
import time
from pathlib import Path # noqa
from typing import Any, Dict, Generator
from helicone.lock import HeliconeLockManager

import pytest
from helicone.lock import HeliconeLockManager

from agbenchmark.reports.reports import (
finalize_reports,
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4 changes: 2 additions & 2 deletions agbenchmark/start_benchmark.py
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Expand Up @@ -4,12 +4,12 @@
from datetime import datetime
from pathlib import Path
from typing import Any
from helicone.lock import HeliconeLockManager
from agbenchmark.utils.utils import AGENT_NAME, calculate_dynamic_paths

import click
import pytest
from helicone.lock import HeliconeLockManager

from agbenchmark.utils.utils import AGENT_NAME, calculate_dynamic_paths

CURRENT_DIRECTORY = Path(__file__).resolve().parent
BENCHMARK_START_TIME = datetime.now().strftime("%Y-%m-%d-%H:%M")
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34 changes: 11 additions & 23 deletions get_data_from_helicone.py
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Expand Up @@ -3,12 +3,10 @@
import requests

# Define the endpoint of your GraphQL server
url = 'https://www.helicone.ai/api/graphql'
url = "https://www.helicone.ai/api/graphql"

# Set the headers, usually you'd need to set the content type and possibly an authorization token
headers = {
"authorization": "Bearer sk-"
}
headers = {"authorization": "Bearer sk-"}

# Define the query, variables, and operation name
query = """
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"""

variables = {
"limit": 100,
"filters": [
{
"property": {
"value": {
"equals": "beebot"
},
"name": "agent"
}
}
]
"limit": 100,
"filters": [{"property": {"value": {"equals": "beebot"}, "name": "agent"}}],
}

operation_name = "ExampleQuery"

# Make the request
response = requests.post(url, headers=headers, json={
"query": query,
"variables": variables,
"operationName": operation_name
})
response = requests.post(
url,
headers=headers,
json={"query": query, "variables": variables, "operationName": operation_name},
)
data = response.json()
total_tokens_sum = 0

for item in data['data']['heliconeRequest']:
total_tokens_sum += item['responseBody']['usage']['total_tokens']
for item in data["data"]["heliconeRequest"]:
total_tokens_sum += item["responseBody"]["usage"]["total_tokens"]

# Extract the data from the response (consider adding error checks)

print(json.dumps(data, indent=4, ensure_ascii=False))
print(total_tokens_sum)

32 changes: 0 additions & 32 deletions reports/Auto-GPT/file44_07-26-20-34.json

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31 changes: 0 additions & 31 deletions reports/Auto-GPT/file45_07-26-20-34.json

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