Launched January 6, 2026
PromptOps
Git-native prompt management and testing framework
FreeCLIOpen SourceTesting202 impressions#1349 of its week
Automated semantic versioning - Zero-manual version management
Uncommitted change testing - Test prompts with :unstaged, :working, :latest references
Framework-agnostic design - Works with OpenAI, Anthropic, any LLM provider
Version-aware testing - Comprehensive validation across prompt versions
Git-native tool to version, bundle, promote and attribute LLM prompts, policies and model configs.
- for
- LLM developers and ops teams that need version control and observability for prompt artifacts.
- pricing
- open source
- license
- MIT
- v0.6.0v0.6.0: repair the git hooks2 months ago
- v0.5.03 months ago
- v0.4.0v0.4.0 — breaking-change batch + pre-release hardening4 months ago
works withOpenAIAnthropicOpenTelemetryLangSmithGit
Key features
6 features of PromptOps
- Prompt versioning — Write prompts as YAML, commit to git and get automatic semantic version bumps.
- Release bundling — Bundle versioned prompts with policies and model configs into immutable SHA-256 artifacts.
- Promotion & rollback — Promote bundles through environments and rollback with a single command, all audited.
- Attribution tracing — Trace agent behavior back to specific prompt lines or policy rules with confidence scores.
- Analytics & comparison — Aggregate latency, token usage and other metrics per version and compare across versions.
- Observability integration — Inject release metadata into OpenTelemetry and LangSmith traces.
Use cases
- Track changes to refund policy prompts and see which version caused a specific decision.
- Bundle prompts, policies and model config for a production agent and promote it across staging to prod.
- Rollback a buggy prompt version with one command while preserving an audit trail.
- Compare latency and error rates between two prompt versions to detect regressions.
PromptOps vs alternatives
 PromptOps |  Postman |  Aider | .png?width=64) Langfuse | .jpg1690446595296.png?width=64) Dify.AI | |
|---|---|---|---|---|---|
| Best for | Version-controlled prompt management | API lifecycle management | AI coding assistance | LLM app analytics | End-to-end LLMOps |
| Pricing | Open source | Subscription | Free | Subscription | Free |
| DevHunt upvotes | 0 | 0 | 0 | 89 | 30 |
| Launched | Jan 2026 | — | — | Jan 2023 | Jan 2023 |
- PromptOps vs Postman: Focuses on API design/testing, not LLM prompt versioning
- PromptOps vs Aider: Terminal AI pair-programming, not prompt artifact management
- PromptOps vs Langfuse: Observability for LLM apps, but does not provide git-native prompt versioning
- PromptOps vs Dify.AI: Full LLMOps platform, broader scope than prompt version control
PromptOps FAQ
Do I need a SaaS dashboard to use PromptOps?+
No, PromptOps runs locally and stores everything in your git repository.
Can I use PromptOps with any LLM provider?+
Yes, it is framework-agnostic and works with OpenAI, Anthropic, or any local model.
How does version bumping work?+
Git hooks grade each commit and automatically apply semantic version tags to prompts.
Is there lock-in to LLMhq?+
No, the tool is MIT licensed and all artifacts remain plain YAML in your repo.
What observability tools are supported?+
ReleaseOps can inject metadata into OpenTelemetry spans and works with LangSmith.
Summarized by DevHunt from llmhq-hub.github.io · Oct 6, 2026. Details may change; check the official site.
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