Chatter

Chatter positions evaluation and versioning at the center of the LLM workflow, and the product surface backs that up. On the build side you get complex chains across multiple models and configurations, function calling, chaining, data manipulation, a Jinja2 templating engine for intermediate transformations inside the prompt, and routing for flows that span multiple function sets and system prompts for a single query. A function builder maintains a library of function calls with per-API configurability. Testing is where the tool is strongest. You build and maintain a suite with automatic evaluation across almost a dozen commonly used metrics, including LLM-based evaluation, semantic similarity, and regex matching. Everything is versioned and logged for per-call comparisons, and Pro adds test case generation and automated red teaming. Chat testing supports multiple roles within a call, chat import, and evaluations run against specific messages, which is more granular than evaluating only a whole conversation. Collaboration is handled two ways: a separate viewer for non-technical users and a share layer for stakeholders. The selling point is that a product manager or exec can track LLM performance without reading code, and view differences on key metrics. Retrieval is covered by a RAG pipeline builder that sets up in seconds from a vector DB or other data source, plus document repositories you build and maintain yourself. Operations round it out: an API key vault holds all your LLM API keys and manages token usage and cost over time or per call, analytics report latency, cost, and prompt/completion tokens, and observability lets you drill into any call within a chain to see how information passes down. The SDK and code export separate your iteration from your codebase, which is the pitch for prompt security and speed. Where it fits: product and engineering teams whose LLM features have real chain complexity, where a regression suite has to run on every change, and where non-technical stakeholders need to weigh in. Where it doesn't: solo developers with a single-prompt use case, and any team that needs publicly listed tier pricing before it can even start an evaluation. The published pricing page shows Pro and Enterprise but routes both to Schedule a Demo, so you cannot size the contract from the page alone. Enterprise adds on-premises hosting if needed, role-based permissions and an admin dashboard, custom terms of service, a Slack connect channel with 24/7 support, unlimited custom integrations, and onboarding training.