pangram-sdk 0.1.8

No project description provided

Pangram Labs Python Package

Installation

pip install pangram-sdk

Add your API key

Add your API key as an environment variable, or pass it directly to the Pangram constructor.

export PANGRAM_API_KEY=<your API key>

from pangram import Pangram
# If the environment variable PANGRAM_API_KEY is set:
pangram_client = Pangram()

# Otherwise, pass the API key directly:
my_api_key = ''  # Fill this in with your API key.
pangram_client = Pangram(api_key=my_api_key)

Make a request

Basic prediction (scans first ~400 words of text, returns a single prediction):

from pangram import Pangram
pangram_client = Pangram()

result = pangram_client.predict_short(text)
# Score in range [0, 1] where 0 is human-written and 1 is AI-generated.
score = result['ai_likelihood']

Extended prediction (returns windows of AI/human text in a longer document)

from pangram import Pangram
pangram_client = Pangram()

result = pangram_client.predict_extended(text)
# Extended analysis with windowed results and detailed metrics
avg_score = result['avg_ai_likelihood']
max_score = result['max_ai_likelihood']
percent_ai = result['percent_ai']

Legacy predict method (calls predict_short internally):

from pangram import Pangram
pangram_client = Pangram()

result = pangram_client.predict(text)
# Score in range [0, 1] where 0 is human-written and 1 is AI-generated.
score = result['ai_likelihood']

Make a batch request

from pangram import Pangram
pangram_client = Pangram()

text_batch = ["abc", "def"]

results = pangram_client.batch_predict(text_batch)
for result in results:
    text = result['text']
    score = result['ai_likelihood']

Deprecated Methods

The following methods are deprecated and will be removed by April 1st, 2026:

• predict_sliding_window() - Use predict_extended() instead for better performance
• predict_with_dashboard_link() - Use predict_extended with the dashboard flag instead

Questions? Email [e-mail]!