fix: move Python venv out of agent artifact upload path to restore MCP telemetry observability

.github/aw/charts.md

@@ -38,7 +38,12 @@ steps:
   - name: Setup Python environment
     run: |
       mkdir -p /tmp/gh-aw/python/{data,charts,artifacts}
-      pip install --user --quiet numpy pandas matplotlib seaborn scipy
+      # Use /tmp/gh-aw/python/venv — keeps the venv out of /tmp/gh-aw/agent/ (the artifact upload path)
+      if [ ! -d /tmp/gh-aw/python/venv ]; then
+        python3 -m venv /tmp/gh-aw/python/venv
+      fi
+      echo "/tmp/gh-aw/python/venv/bin" >> "$GITHUB_PATH"
+      /tmp/gh-aw/python/venv/bin/pip install --quiet numpy pandas matplotlib seaborn scipy
 safe-outputs:
   upload-asset:
     max: 3
@@ -74,7 +79,12 @@ steps:
   - name: Setup Python environment
     run: |
       mkdir -p /tmp/gh-aw/python/{data,charts,artifacts}
-      pip install --user --quiet numpy pandas matplotlib seaborn scipy
+      # Use /tmp/gh-aw/python/venv — keeps the venv out of /tmp/gh-aw/agent/ (the artifact upload path)
+      if [ ! -d /tmp/gh-aw/python/venv ]; then
+        python3 -m venv /tmp/gh-aw/python/venv
+      fi
+      echo "/tmp/gh-aw/python/venv/bin" >> "$GITHUB_PATH"
+      /tmp/gh-aw/python/venv/bin/pip install --quiet numpy pandas matplotlib seaborn scipy
 ```
 
 Rules:

.github/workflows/copilot-pr-nlp-analysis.md

@@ -106,7 +106,7 @@ Generate a weekly NLP-based analysis report of Copilot-created PRs merged within
 - Python analysis dependencies are already installed by pre-agent workflow steps.
 - **Do NOT run any `pip install` commands in agent turns.**
 - If an import unexpectedly fails, report the missing package in the output and continue with reduced analysis instead of installing dependencies in agent turns.
-- Run Python scripts with `/tmp/gh-aw/agent/venv/bin/python3` to use the preinstalled environment.
+- Run Python scripts with `/tmp/gh-aw/python/venv/bin/python3` to use the preinstalled environment.
 
 ## Task Overview
 

.github/workflows/daily-agentrx-trace-optimizer.md

@@ -97,8 +97,8 @@ Focus on:
 2. Use only pre-downloaded or MCP-downloaded run data and logs as the telemetry source, prioritizing `runs[]` session fields over OTEL spans.
 3. Use Python in `/tmp/gh-aw/agent/agentrx` to avoid polluting the repository.
 4. Install AgentRx from GitHub:
-   - `python -m venv /tmp/gh-aw/agent/agentrx/.venv`
-   - `source /tmp/gh-aw/agent/agentrx/.venv/bin/activate`
+   - `python -m venv /tmp/gh-aw/python/agentrx/.venv` (use `/tmp/gh-aw/python/` to keep the venv out of the agent artifact upload path)
+   - `source /tmp/gh-aw/python/agentrx/.venv/bin/activate`
    - `pip install --upgrade pip`
    - `pip install git+https://github.com/microsoft/AgentRx.git`