fix(open-interpreter): don't double-prefix provider-scoped EVAL_MODEL - #339
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interpreter.llm.model unconditionally prepended "openai/", so an EVAL_MODEL that already carries a routing prefix (e.g. gcp/gemini-3.5-flash-lite) became malformed (openai/gcp/...). Guard matches the pattern already used by terminus-2 and openhands. Checked against: .agents/gateways/RULES.md rule 23 (EVAL_MODEL is a bare, opaque handle that MAY already carry a provider prefix). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Signed-off-by: Doron Chen <cdoron@il.ibm.com>
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Superseded by #354 — same guard fix, plus a deeper issue found while reviewing it: run_oi.py reads $EVAL_MODEL directly, which never reaches the container (run-agent's scrub only forwards $MODEL — the same bug #320/#334 fixed in ten other agents). Your authorship is preserved on the guard-fix commit. |
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…not $EVAL_MODEL Two issues found while reviewing/verifying #339: 1. run-agent's env -i allow-list forwards only MODEL to the agent process — EVAL_MODEL is scrubbed away (same contract zerostack already follows, same bug #320/#334 fixed in ten other agents). run_oi.py read EVAL_MODEL directly with no Dockerfile-level shim, so it always fell back to the literal string "default" regardless of #339's guard fix. 2. #339's "/" guard (copied from openhands/terminus-2's old pattern) does not actually work for provider-scoped handles. Verified live: a handle like gcp/gemini-3.5-flash-lite skips the openai/ prefix (as intended) but then reaches litellm.completion() unmodified, and litellm tries to resolve "gcp" as a real provider name (it isn't — litellm's name for it is vertex_ai) and raises BadRequestError: LLM Provider NOT provided. Reproduced the exact crash #339 was supposed to prevent. open-interpreter's Llm class has no field for litellm's custom_llm_provider (unlike terminus-2/harbor's LiteLLM wrapper, see #348 — same underlying issue, same fix approach). Fixed by wrapping llm.completions (a plain function forwarding **params to litellm.completion(**params)) to inject custom_llm_provider="openai" regardless of what the handle carries. Verified live against a capturing mock: bare handle and provider-prefixed handle (gcp/...) both now reach the wire unmodified, no crash, in both cases before this fix would either mangle the model name (#339's original bug) or crash outright (the case #339's own fix introduced). Signed-off-by: Elron Bandel <elron.bandel@ibm.com>
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Summary
interpreter.llm.modelunconditionally prependedopenai/, so a provider-scopedEVAL_MODEL(e.g.gcp/gemini-3.5-flash-lite) became malformed (openai/gcp/gemini-3.5-flash-lite) and failed to route through the gateway."/" in modelguard already used byterminus-2andopenhands.Checked against:
.agents/gateways/RULES.mdrule 23 (EVAL_MODELis a bare, opaque handle that MAY already carry a provider/routing prefix; the gateway/agent MUST NOT assume it needs a prefix added).Test plan
output/model/result.jsonnow reports the correct, unprefixedgcp/gemini-3.5-flash-lite, andtraces.jsonl'sraw_gen_ai_requestspan showsllm.openai.modelset correctly (previously double-prefixed).containers/agents/terminus-2/run.pyandcontainers/agents/openhands/run_openhands.py.🤖 Generated with Claude Code