Humanloop
Humanloop is an LLM development platform focused on prompt management, evaluation, and collaboration between engineers and domain experts, helping teams version prompts, run structured evaluations, and monitor production LLM applications.…
Definition
Humanloop is an LLM development platform focused on prompt management, evaluation, and collaboration between engineers and domain experts, helping teams version prompts, run structured evaluations, and monitor production LLM applications. It emphasizes bridging technical and non-technical stakeholders in the prompt iteration process.
Overview
Building reliable products on top of large language models often requires iterating heavily on prompts, and that iteration frequently involves people who are not software engineers — product managers, subject-matter experts, or domain specialists who best understand what a 'good' output looks like for a given task. Humanloop was built around this collaboration problem, providing a prompt editor and versioning system that both engineers and non-engineers can use, with prompts treated as first-class, version-controlled artifacts separate from application code. The platform provides structured evaluation tooling similar in spirit to other LLM eval platforms: teams define datasets and scoring criteria (automated or human), run prompts or full application configurations against them, and compare results across versions to decide whether a change is an improvement. Humanloop places particular emphasis on human feedback collection, making it straightforward to gather ratings or corrections from domain experts and feed that signal back into prompt refinement or fine-tuning datasets. Humanloop also offers production monitoring, logging live requests and completions so teams can track quality drift over time and identify real-world failure cases. Its API and SDKs allow prompts managed in Humanloop to be fetched and executed directly from an application, decoupling prompt updates from code deployments. It competes with platforms like Braintrust, LangSmith, and PromptLayer in the broader prompt-management-and-evaluation category, generally differentiating through its strong focus on structured human review workflows and collaborative prompt engineering for teams that include non-engineering stakeholders.
Key Features
- Version-controlled prompt management decoupled from application code deployments
- Collaborative editor usable by both engineers and non-technical domain experts
- Structured evaluation workflows with automated and human scoring
- Human feedback collection tooling for gathering expert ratings and corrections
- Production monitoring and logging of live LLM requests
- API/SDK access to fetch and run managed prompts directly from applications
- Support for comparing prompt and model versions side by side
- Data export for fine-tuning based on collected feedback