{
  "max_search_iterations": 3,
  "confidence_threshold": 0.8,
  "extraction": {
    "metadata_fields": ["category", "priority"],
    "response_schema": { "type": "object", "properties": { "answer": { "type": "string" } } }
  }
}

import langwatch

prompt = langwatch.prompts.get("qa-extractor", tag="production")

prompt.parameters
# {"max_search_iterations": 3, "confidence_threshold": 0.8, ...}

iterations = prompt.parameters.get("max_search_iterations", 1)

import { LangWatch } from "langwatch";

const langwatch = new LangWatch();
const prompt = await langwatch.prompts.get("qa-extractor", { tag: "production" });

prompt.parameters;
// { max_search_iterations: 3, confidence_threshold: 0.8, ... }

curl -s "https://app.langwatch.ai/api/prompts/qa-extractor" \
  -H "X-Auth-Token: $LANGWATCH_API_KEY" | jq .parameters

import langwatch

# On create
langwatch.prompts.create(
    "qa-extractor",
    prompt="Extract the answer from {{document}}",
    parameters={"max_search_iterations": 3, "confidence_threshold": 0.8},
)

# On update — creates a new version
langwatch.prompts.update(
    "qa-extractor",
    scope="PROJECT",
    parameters={"max_search_iterations": 5, "confidence_threshold": 0.9},
    commit_message="raise threshold for production",
)

await langwatch.prompts.update("qa-extractor", {
  parameters: { max_search_iterations: 5, confidence_threshold: 0.9 },
  commitMessage: "raise threshold for production",
});

curl -X PUT "https://app.langwatch.ai/api/prompts/qa-extractor" \
  -H "X-Auth-Token: $LANGWATCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"parameters": {"max_search_iterations": 5, "confidence_threshold": 0.9}}'