Skip to content

feat: Add openai/ keys from openai models #142

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
dot-agi merged 1 commit into from
Jun 8, 2025
Merged

feat: Add openai/ keys from openai models #142

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
30 changes: 25 additions & 5 deletions update_prices.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,14 @@


def diff_dicts(dict1, dict2):
diff_keys = dict1.keys() ^ dict2.keys()
differences = {k: (dict1.get(k), dict2.get(k)) for k in diff_keys}
# Filter out keys from dict1 that start with 'openai/'
dict1_filtered = {k: v for k, v in dict1.items() if not k.startswith('openai/')}

diff_keys_initial = dict1_filtered.keys() ^ dict2.keys()
diff_keys = {k for k in diff_keys_initial if not k.startswith('openai/')}
differences = {k: (dict1_filtered.get(k), dict2.get(k)) for k in diff_keys}
differences.update(
{k: (dict1[k], dict2[k]) for k in dict1 if k in dict2 and dict1[k] != dict2[k]}
{k: (dict1_filtered[k], dict2[k]) for k in dict1_filtered if k in dict2 and dict1_filtered[k] != dict2[k]}
)

if differences:
Expand All @@ -30,17 +34,33 @@ def diff_dicts(dict1, dict2):
with open("tokencost/model_prices.json", "r") as f:
model_prices = json.load(f)

# Compare the refreshed TOKEN_COSTS with the file
# Compare the refreshed TOKEN_COSTS with the file, ignoring "openai/" keys
if diff_dicts(model_prices, tokencost.TOKEN_COSTS):
print("Updating model_prices.json")
with open("tokencost/model_prices.json", "w") as f:
json.dump(tokencost.TOKEN_COSTS, f, indent=4)
print("File updated successfully")
# Reload the prices after updating
with open("tokencost/model_prices.json", "r") as f:
model_prices = json.load(f)
else:
print("File is already up to date")

# Add/overwrite the "openai/" keys from the unprefixed keys in the final price list
openai_models = {key: value for key, value in model_prices.items() if value.get("litellm_provider") == "openai"}

for key, value in openai_models.items():
if not key.startswith('openai/'):
new_key = f"openai/{key}"
model_prices[new_key] = value

# Write the final, consistent data back to the file
print("Adding 'openai/' pre-fixed models to model_prices.json")
with open("tokencost/model_prices.json", "w") as f:
json.dump(model_prices, f, indent=4)

# Load the data
df = pd.DataFrame(tokencost.TOKEN_COSTS).T
df = pd.DataFrame(model_prices).T
df.loc[df.index[1:], "max_input_tokens"] = (
df["max_input_tokens"].iloc[1:].apply(lambda x: "{:,.0f}".format(x))
)
Expand Down