Cached after the first call — no extra latency on subsequent invocations

🚀 Client-Side Prompt Caching (Python & TypeScript SDKs)

client.get_prompt() and client.get_chat_prompt() now cache results in-process, so repeated calls inside a hot path skip the network round-trip entirely. Pinned commits are cached indefinitely; latest-version lookups use a 5-minute TTL that refreshes in the background so your code always gets a reasonably fresh value without blocking.

What's new:

• Automatic caching — results are cached on the first fetch; subsequent calls return instantly from memory
• Configurable TTL — set OPIK_PROMPT_CACHE_TTL_SECONDS to adjust the freshness window (default: 300 s)
• Bypass when needed — pass no_cache=True / noCache: true to force a live fetch from the backend
• Prompt metadata injected into traces — when you fetch a prompt inside an @track context, the prompt ID and commit are automatically recorded in the trace metadata so you know which version was used at inference time
• TypeScript SDK — the same caching and metadata injection are available in the TypeScript client

# Cached after the first call — no extra latency on subsequent invocations
prompt = client.get_prompt("my-system-prompt")

# Force a fresh fetch, bypassing the cache
prompt = client.get_prompt("my-system-prompt", no_cache=True)

🔌 opik connect CLI Improvements

The opik connect and opik endpoint CLI commands have been reorganized with a much better error experience:

• Formatted error output — configuration problems now show a labelled card (Reason / Workspace / URL / Config / Fix / Docs) so you can see exactly what's wrong and how to fix it without reading a stack trace
• Auto-configure on first run — if no ~/.opik.config file exists, opik connect now offers to run opik configure automatically (skipped in non-interactive / headless environments)
• Instant disconnect — stopping a local runner session now notifies the backend immediately, so the connection status in the UI updates right away instead of waiting for a timeout

🔧 Bug Fixes & Improvements

• Playground: Gemma 4 no longer leaks reasoning traces — the internal thinking output from Gemma 4 models was appearing at the top of Playground responses; it is now suppressed so you see only the final model response
• Playground: updated default models for Gemini and Vertex AI — the provider dropdown previously defaulted to deprecated model aliases that weren't selectable in the picker; both providers now default to their current recommended models
• Google ADK integration: re-patching fixed — OpikADKOtelTracer was killing all active OpenTelemetry spans and re-patching the ADK exporter on every request; the patcher is now idempotent and preserves user-configured OTel pipelines
• Environments: auto-created environments get distinct colors — environments created automatically from trace ingestion now receive a color from the palette (assigned deterministically by name hash), so they no longer all appear identical
• Environments: inline validation errors — when creating or editing an environment, backend errors (duplicate name, invalid value) now appear inline below the field; the dialog stays open so you don't lose your input
• Environments: SDK preserves environment on update — calling span.end(), span.update(), trace.end(), or trace.update() no longer clears the environment field set at creation time
• Experiments: "Item source" column — the column previously labeled "Test suite" in the Experiments table is now called "Item source" and shows a dynamic icon reflecting the actual source (dataset, trace, manual, etc.)
• Dataset version copy no longer drops items — when a dataset version was copied and the stored item count had drifted from the actual ClickHouse row count, some items could be silently lost; the copy now uses a live count, eliminating the discrepancy
• Self-hosted onboarding skip no longer loops — clicking "Skip" during onboarding on deployments without demo data (self-hosted Docker Compose, self-hosted EKS) previously started a 5-minute polling loop; it now routes directly to the home page
• CSV dataset upload always available — the CSV upload button in the dataset UI is now always shown; it was previously hidden on self-hosted Docker Compose and some staging environments even though the feature was fully functional

⚡ Performance Improvements

• Dataset streaming uses less backend CPU — resolved a query pattern that caused the MySQL reader to scan all dataset versions on every /datasets/items/stream call; under high request volume this was pushing database CPU to 80–99%, it now uses a direct primary-key lookup instead
• Workspace selector loads faster — the workspace dropdown now fetches a lighter summary endpoint, reducing the number of backend queries on each page load for users with many workspaces

And much more! 👉 See full commit log on GitHub

Releases: 2.0.32, 2.0.33, 2.0.34, 2.0.35, 2.0.36, 2.0.37