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6 changes: 6 additions & 0 deletions benchmark/requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -2,3 +2,9 @@ mini-swe-agent==2.4.5
pyyaml>=6.0.3
pytest>=9.1.1
pytest-timeout>=2.4.0
# litellm 1.92.0 (pulled by mini-swe-agent) unconditionally imports proxy-only
# deps from completion() (litellm.responses.mcp → litellm.proxy.*). Declare them
# until a litellm release makes that import lazy; litellm[proxy] is NOT an
# option (its granian pin is unresolvable).
fastapi>=0.115
orjson>=3.10
4 changes: 4 additions & 0 deletions submission.env.example
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,10 @@ MODEL_NAME=openai/gpt-5.4
# API_KEY=... # generic key when no PROVIDER_API_KEY name fits
# MODEL_KWARGS={"custom_llm_provider":"openai","extra_headers":{"X-Org":"acme"}}
# # ^ JSON of extra litellm.completion kwargs (api_version, temperature, …)
# MSWEA_COST_TRACKING=ignore_errors
# # ^ required when your model isn't in litellm's price map (typical for custom
# # endpoints) — mini-swe otherwise aborts the session on the cost-calculation
# # error. Token usage is still recorded from API responses.

# ── LIMITS ────────────────────────────────────────────────────────────────────
# MAX_TOKENS=8192 # per-call output ceiling
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