To use Ollama's API in a developer environment, first, install Ollama locally following the instructions on their website, then run `ollama api` to start the API server on the default port (usually 11434). Finally, you can send requests to the API using tools like `curl` or programming languages like Python, specifying the model you want to interact with.
Stop writing the same event handlers over and over. Comorando executes your logic automatically.
Exponential backoff, dead-letter queues, and alert escalation — built in, no config needed.
Gemma 4 evaluates every event and suggests the optimal action based on your business rules.
# Ollama api-usage — integrated with Comorando automation
import ollama
# api-usage setup
client = ollama.Client(host='http://localhost:11434')
# List available models
models = client.list()
print([m['name'] for m in models['models']])
# Run inference
response = client.chat(
model='gemma3:4b',
messages=[{'role': 'user', 'content': 'Analyze this event data.'}],
stream=False
)
print(response['message']['content'])
# Send AI result to Comorando for downstream automation
import httpx
httpx.post('https://api.comorando.com/decisions', json={
'event': 'ollama.api_usage',
'data': response['message'],
'org_id': os.environ['COMORANDO_ORG_ID']
}, headers={'Authorization': f"Bearer {os.environ['COMORANDO_API_KEY']}"})Free tier includes 10,000 events/month. No credit card required.
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