Simple extension to query OpenAI Completion API endpoints such as Ollama/OpenAI/etc
Experimental: USE AT YOUR OWN RISK!
INSTALL open_prompt FROM community;
LOAD open_prompt;
open_prompt(prompt)
set_api_url(/v1/chat/completions)
set_api_token(optional_auth_token)
set_model_name(model_name)
/v1/chat/completions
Setup the completions API configuration w/ optional auth token and model name
SET VARIABLE openprompt_api_url = 'http://localhost:11434/v1/chat/completions';
SET VARIABLE openprompt_api_token = 'your_api_key_here';
SET VARIABLE openprompt_model_name = 'qwen2.5:0.5b';
D SELECT open_prompt('Write a one-line poem about ducks') AS response;
┌────────────────────────────────────────────────┐
│ response │
│ varchar │
├────────────────────────────────────────────────┤
│ Ducks quacking at dawn, swimming in the light. │
└────────────────────────────────────────────────┘
For supported models you can request structured JSON output by providing a schema
SET VARIABLE openprompt_api_url = 'http://localhost:11434/v1/chat/completions';
SET VARIABLE openprompt_api_token = 'your_api_key_here';
SET VARIABLE openprompt_model_name = 'llama3.2:3b';
SELECT open_prompt('I want ice cream', json_schema := '{
"type": "object",
"properties": {
"summary": { "type": "string" },
"sentiment": { "type": "string", "enum": ["pos", "neg", "neutral"] }
},
"required": ["summary", "sentiment"],
"additionalProperties": false
}');
For smaller models the system_prompt
can be used to request JSON schema in best-effort mode
SET VARIABLE openprompt_api_url = 'http://localhost:11434/v1/chat/completions';
SET VARIABLE openprompt_api_token = 'your_api_key_here';
SET VARIABLE openprompt_model_name = 'qwen2.5:1.5b';
SELECT open_prompt('I want ice cream.',
system_prompt:='The respose MUST be a JSON with the following schema: {
"type": "object",
"properties": {
"summary": { "type": "string" },
"sentiment": { "type": "string", "enum": ["pos", "neg", "neutral"] }
},
"required": ["summary", "sentiment"],
"additionalProperties": false
}');
Test the open_prompt extension using a local or remote Ollama with Completions API
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
Install the Nvidia container toolkit. Run Ollama inside a Docker container
docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
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