Repository navigation
Disclose stub self-eval; add OpenAI-compatible upstream and real-model benchmark workflow - #18
Merged
Merged
Conversation
The headline self-eval runs against a deterministic stub, not a real LLM, and the cost figure is notional. State both next to the numbers. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017urKavHf7CSyMqnzeCCyoy
The proxy translates Anthropic messages to chat completions when MERIDIAN_UPSTREAM_API=openai, so the agent, cassette format and isolation model are unchanged and the credential stays in the proxy container. Adds GROQ_API_KEY and gsk_ redaction. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017urKavHf7CSyMqnzeCCyoy
The proxy applies MERIDIAN_UPSTREAM_MODEL so the operator, not the agent, picks the model under measurement. The manual workflow records the checkout-agent suite against a real provider under a hard budget cap and uploads pass^k, MDE and verdicts as an artifact. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017urKavHf7CSyMqnzeCCyoy
The proxy applies the operator-chosen model on the native Anthropic path too, and the workflow exports only the chosen provider's key so one provider's credential can never be sent to the other. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017urKavHf7CSyMqnzeCCyoy
Meridian gate✅ PASS — suite pass^k moved -0.000 (0.486 → 0.486), within the 0.030 tolerance Failing trials in this run
Sensitivity. Not estimated: all 7 tasks moved by the same amount, so there is no spread to estimate sensitivity from. Treat the verdict as directional.
head run |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
MERIDIAN_UPSTREAM_API=openai), so Groq, OpenAI, vLLM and Ollama work without changing the agent, the cassette format or the isolation model. The credential stays in the proxy container.MERIDIAN_UPSTREAM_MODEL; the agent cannot change it. Works on the Anthropic path too.real-model-benchmarkrecords and scores the checkout-agent suite against Groq or Anthropic under a hard budget cap. Only the chosen provider's key is exported.GROQ_API_KEYis a recognised credential andgsk_keys are redacted.Test plan
make check(ruff, mypy --strict, 319 unit tests) greenreal-model-benchmarkworkflow not yet run against a real providerGenerated by Claude Code