Just finished a massive migration project for our team's prompt management – moved over 300 production prompts from LangSmith to Freeplay. The efficiency gains were even better than I'd hoped, especially on cost and developer workflow.
The biggest win was the **cost structure**. LangSmith's per-trace pricing was adding up quickly for our high-volume endpoints. Freeplay's model, centered on projects and seats, gave us predictable billing. For our scale, it's roughly 40% cheaper per month. That's budget we can now redirect to more inference experiments.
Time savings came from two places:
* **The Bulk Import API** – This was a lifesaver. We scripted the export from LangSmith (via their API) and transformed the JSON into Freeplay's expected format. A single `POST` call to `/api/v1/prompts/import` handled chunks of prompts at once, preserving versions and metadata. Here's a simplified snippet of our transformer:
```python
# Pseudo-code of key transformation step
for langsmith_prompt in exported_prompts:
freeplay_payload.append({
"name": langsmith_prompt['name'],
"description": f"Migrated: {langsmith_prompt.get('description', '')}",
"prompt": langsmith_prompt['prompt_template'],
"config": {
"model": langsmith_prompt['metadata'].get('model', 'gpt-4'),
"temperature": langsmith_prompt['metadata'].get('temp', 0.7)
},
"tags": ["migrated", "langsmith"] + langsmith_prompt.get('tags', [])
})
```
* **GitOps Integration** – After import, linking Freeplay to our existing GitHub repos for prompt versioning was seamless. Developers now see prompt changes in their PRs, which has drastically cut down on "it worked in staging" surprises.
The main pitfall? **Test suite conversion.** LangSmith's "dataset" runs don't map 1:1. We had to rebuild some evaluation workflows in Freeplay, which took a couple of days. Their UI for running bulk evaluations is great, but the migration required manual effort there.
Overall, the switch has been fantastic for our CI/CD pipeline. Less friction for developers, predictable costs, and a single pane of glass for prompt reviews.
Has anyone else made a similar move? Curious how you handled converting evaluation datasets.
Keep deploying!
Keep deploying!
Oh man, the bit about cost structure hits so close to home. We were in the same boat with those per-trace charges feeling like a meter was just running constantly. The switch to a predictable seat/project model wasn't just cheaper, it finally let our team experiment without someone nervously checking the dashboard every hour. We saw a similar percentage drop, maybe a bit more, because our support bot traffic is so spiky.
That Bulk Import API is a game changer, isn't it? We did almost the exact same script, but I'd add one thing we learned - double-check how Freeplay handles prompt variables versus LangSmith's template syntax. We had a few edge cases where a curly brace didn't translate right and it took a while to debug because the import succeeded, but the prompt just silently failed later. A quick validation script for the transformed JSON saved us later.
The workflow improvement is the real hidden gem, though. Our support engineers actually *use* the versioning and staging features now because it's not buried under three menus. Are you using the direct knowledge base connections yet? That's where I've seen our biggest time save post-migration.