bench_ollama: PEP 723 inline script metadata for uv-run

Was failing with ModuleNotFoundError for httpx when run via system
python — httpx is a project dep but isn't on the system interpreter's
path. Adding PEP 723 script metadata + uv-run shebang means the script
auto-resolves its deps in an ephemeral venv on every invocation, no
project-venv setup required.

Run with `uv run scripts/bench_ollama.py …` or directly via the shebang
`./scripts/bench_ollama.py …`. `python scripts/bench_ollama.py …` still
works only when httpx happens to be on the active interpreter.

Docstring updated to reflect the running options.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

scripts/bench_ollama.py

@@ -1,4 +1,8 @@
-#!/usr/bin/env python3
+#!/usr/bin/env -S uv run --script
+# /// script
+# requires-python = ">=3.10"
+# dependencies = ["httpx>=0.27"]
+# ///
 """Benchmark Ollama models for FabledScribe chat / curator workloads.
 
 Measures time-to-first-token, total wall time, and tokens/sec for each
@@ -26,27 +30,38 @@ Think modes:
                contributes vs `off` on the same model).
 
 Prerequisites:
+    - `uv` installed (https://docs.astral.sh/uv/). The script's shebang
+      uses `uv run --script`, which auto-creates an ephemeral venv with
+      httpx — no project install required.
     - Ollama running and reachable at --server (default http://localhost:11434).
     - The models named in --models must already be pulled
       (`ollama pull qwen3:30b-a3b` etc).
 
+Running:
+    # Preferred — uv handles the venv:
+    uv run scripts/bench_ollama.py --models qwen3:30b-a3b --scenario curator
+    # Or via the shebang (the file is executable):
+    ./scripts/bench_ollama.py --models qwen3:30b-a3b --scenario curator
+    # `python scripts/bench_ollama.py …` works ONLY if httpx is on the
+    # interpreter's path — usually it isn't outside the project venv.
+
 Usage examples:
     # Curator candidate on CPU, 3 runs each (default), one model:
-    python scripts/bench_ollama.py --models qwen3:30b-a3b --scenario curator
+    uv run scripts/bench_ollama.py --models qwen3:30b-a3b --scenario curator
 
     # Chat candidate on GPU, against a remote server:
-    python scripts/bench_ollama.py \\
+    uv run scripts/bench_ollama.py \\
         --server http://dock02:11434 \\
         --models llama3.2:3b \\
         --scenario chat --num-gpu 99
 
     # Compare two qwen curator candidates on CPU, 5 runs each:
-    python scripts/bench_ollama.py \\
+    uv run scripts/bench_ollama.py \\
         --models qwen3:30b-a3b,qwen3:32b \\
         --scenario curator --runs 5 --out bench-qwen-curator.md
 
     # Cross-family curator comparison with think forced OFF (apples-to-apples):
-    python scripts/bench_ollama.py \\
+    uv run scripts/bench_ollama.py \\
         --models qwen3:30b-a3b,gemma2:27b,mistral-small:22b \\
         --scenario curator --think off --runs 3 \\
         --out bench-curator-no-think.md