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requirements.txt

@@ -1,3 +1,29 @@
-altair
-pandas
-streamlit
+# Hugging Face Space requirements (Streamlit SDK).
+#
+# Shape: Streamlit UI + in-process agent loop, where the agent talks to Qwen
+# via HF Inference Providers. GPU-touching tools (profile_run, benchmark)
+# fall back to FakeRunner — no GPU on the Space, no torch needed.
+#
+# Notably ABSENT:
+#   * `sentence-transformers` / `torch` / `transformers`
+#     We ship a pre-built embeddings cache at `kb/.embeddings_cache_<sha>.npy`
+#     keyed on the YAML's sha256, so query_rocm_kb hits the cache instead of
+#     loading the embedding model. If you edit `kb/rocm_rules.yaml` and push
+#     without rebuilding the cache locally, query_rocm_kb returns ok=False
+#     with a clear message and the rest of the agent loop keeps working.
+#   * `fastapi` / `uvicorn` / `sse-starlette`
+#     The Space embeds the agent loop in-process; no HTTP backend needed.
+#   * `anthropic`
+#     Qwen-only since Phase 3.
+#
+# For the full developer install (FastAPI backend, KB rebuild, ROCm runner)
+# use `pip install -e ".[dev]"` against `pyproject.toml`.
+streamlit>=1.32
+altair>=5.2
+pandas>=2.2
+pydantic>=2.6
+requests>=2.31
+huggingface_hub>=0.28
+openai>=1.30
+numpy>=1.26
+PyYAML>=6.0