diff --git a/benchmark/requirements.txt b/benchmark/requirements.txt
index b7d59af..0a787be 100644
--- a/benchmark/requirements.txt
+++ b/benchmark/requirements.txt
@@ -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
diff --git a/submission.env.example b/submission.env.example
index bf78289..89821c2 100644
--- a/submission.env.example
+++ b/submission.env.example
@@ -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