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What is the current consensus on the best open-source evaluation frameworks for measuring LLM response quality and latency regression in CI/CD pipelines?

ChatGPTgpt-62 queries10/31/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
What is the current consensus on the best open-source evaluation frameworks for measuring LLM response quality and latency regression in CI/CD pipelines?
2 real searches · 1 real-search pass
2026 open source LLM evaluation frameworks CI/CD promptfoo DeepEval Ragas Inspect AI latency benchmarking comparisonGoogle ↗
OBSERVEDComparison
GitHub promptfoo DeepEval Ragas Inspect AI Arize Phoenix LLM evaluation CI integration latency metrics frameworkGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigationalComparison50%ConsequenceReason50%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
2026 open source LLM evaluation frameworks CI/CD promptfoo DeepEval Ragas Inspect AI latency benchmarking comparison Google ↗
GitHub promptfoo DeepEval Ragas Inspect AI Arize Phoenix LLM evaluation CI integration latency metrics framework Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
2026 open source LLM evaluation frameworks CI/CD promptfoo DeepEval Ragas Inspect AI latency benchmarking comparison
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
of 1
GitHub promptfoo DeepEval Ragas Inspect AI Arize Phoenix LLM evaluation CI integration latency metrics framework
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1