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cnoe-iocnoe-io/ai-platform-engineering/.claude/skills/streaming-testing/SKILL.md

streaming-testing

Skill438 starsChanged 53 days agoApache-2.0View on GitHub

Compare A2A streaming behaviour across supervisor versions. Captures SSE events, analyzes metadata flags (is_narration, is_final_answer), and produces side-by-side comparison reports.

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The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 1 is distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    All scripts live in scripts/ and use Python stdlib only.

    line 28
  2. Very specific:

    No internal metadata leaked (is_task_complete=, Returning structured response)

    line 58
  3. Very specific:

    If capture_a2a_events.py produces 0 artifacts:

    line 130
  4. Very specific:

    Verify the supervisor is healthy: curl http://localhost:8000/.well-known/agent.json

    line 131
  5. Distinctive:

    Check if the supervisor uses SSE or JSON-RPC (the script handles both)

    line 132
  6. Very specific:

    Look at supervisor logs for errors: docker logs caipe-supervisor 2>&1 | tail -50

    line 133

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Streaming Testing

Compare A2A streaming behaviour across supervisor versions (e.g. 0.3.0 vs 0.2.41). Captures SSE events, analyzes metadata correctness, and generates side-by-side markdown reports.

Prerequisites

  • Docker Compose dev stack running (docker-compose.dev.yaml)
  • 0.3.0 supervisor on port 8000 (caipe-supervisor)
  • 0.2.41 supervisor on port 8041 (caipe-supervisor-041)
  • Python 3.10+ (scripts use stdlib only — no pip install needed)

Quick Start

# One command — captures from both supervisors, analyzes, compares
./skills/streaming-testing/run_comparison.sh "what can you do?"

# Output lands in /tmp/streaming-comparison-<timestamp>.md

Individual Scripts

All scripts live in scripts/ and use Python stdlib only.

ScriptPurposeUsage
trace_a2a_streaming.pySSE timeline with summary statspython3 scripts/trace_a2a_streaming.py 8000 "query"
capture_a2a_events.pySave raw A2A events to JSONpython3 scripts/capture_a2a_events.py http://localhost:8000/ "query" /tmp/out.json
analyze_a2a_metadata.pyValidate metadata flags in a capturepython3 scripts/analyze_a2a_metadata.py /tmp/out.json
compare_a2a_events.pySide-by-side comparison of two capturespython3 scripts/compare_a2a_events.py /tmp/a.json /tmp/b.json
analyze_accumulation_flow.pyContent accumulation + duplicate detectionpython3 scripts/analyze_accumulation_flow.py "query" --port 8000
validate_artifacts.pyParse/validate artifact reportspython3 scripts/validate_artifacts.py --query "query" --port 8000

Workflow

Step 1: Capture events from both supervisors

python3 scripts/capture_a2a_events.py http://localhost:8000/ "what can you do?" /tmp/cap-030.json
python3 scripts/capture_a2a_events.py http://localhost:8041/ "what can you do?" /tmp/cap-041.json

Step 2: Analyze metadata on each capture

python3 scripts/analyze_a2a_metadata.py /tmp/cap-030.json
python3 scripts/analyze_a2a_metadata.py /tmp/cap-041.json

This validates:

  • is_final_answer is present on streaming_result artifacts
  • No [FINAL ANSWER] marker leaked into text
  • No internal metadata leaked (is_task_complete=, Returning structured response)
  • is_narration and is_final_answer are mutually exclusive
  • final_result or partial_result artifact exists
  • Streaming content is non-empty

Step 3: Compare side-by-side

python3 scripts/compare_a2a_events.py /tmp/cap-030.json /tmp/cap-041.json --output /tmp/comparison.md

Generates a markdown report with:

  • Summary table (total time, time to first content, artifact counts, char counts)
  • Artifact name breakdown
  • Safety checks (marker leaks, metadata leaks)
  • Per-artifact detail table with metadata flags

Step 4 (optional): Deep-dive traces

For a live timeline view of each SSE event as it arrives:

python3 scripts/trace_a2a_streaming.py 8000 "what can you do?"
python3 scripts/trace_a2a_streaming.py 8041 "what can you do?"

Interpreting Results

Key Metrics

MetricWhat it meansGood value
Time to first contentHow long until the user sees text< 5s
Total timeEnd-to-end response time< 20s (simple), < 120s (RAG)
has is_final_answerSupervisor correctly tags the final answerTrue
Narration eventsNarration chunks for typing-status display0 for simple queries, > 0 for RAG
Marker leaks[FINAL ANSWER] leaked to clientMust be 0
Metadata leaksInternal state leaked to clientMust be 0

What to look for

  • 0.3.0 has a "dead gap" before content: The generate_structured_response node builds JSON preamble before the content key. Time to first content will be higher than 0.2.41.
  • 0.2.41 may leak narration text: Pre-marker buffer flush sends LLM thinking text (e.g. "Excellent! I now have comprehensive information...") to the client.
  • Narration events should NOT appear in 0.2.41: The is_narration flag was added in 0.3.0.
  • Both versions should have 0 marker leaks: The Slack bot and agent_executor both strip markers.

Troubleshooting

Supervisor not reachable

# Check containers
docker ps | grep supervisor

# Restart
docker restart caipe-supervisor
docker restart caipe-supervisor-041

Script hangs

The scripts have a default 120s (trace) or 300s (capture) timeout. For RAG queries, increase the timeout:

# capture_a2a_events.py reads timeout from the URL (not a CLI arg).
# For trace, it's hardcoded at 120s in http.client timeout.
# If queries consistently time out, check supervisor logs:
docker logs caipe-supervisor 2>&1 | tail -20

Empty captures

If capture_a2a_events.py produces 0 artifacts:

  1. Verify the supervisor is healthy: curl http://localhost:8000/.well-known/agent.json
  2. Check if the supervisor uses SSE or JSON-RPC (the script handles both)
  3. Look at supervisor logs for errors: docker logs caipe-supervisor 2>&1 | tail -50

Examples

# Simple query comparison
./skills/streaming-testing/run_comparison.sh "what can you do?"

# RAG query comparison (takes longer)
./skills/streaming-testing/run_comparison.sh "what is caipe?"

# Just analyze a single capture
python3 scripts/analyze_a2a_metadata.py /tmp/cap-030.json --verbose

# Custom labels in comparison report
python3 scripts/compare_a2a_events.py /tmp/cap-030.json /tmp/cap-041.json \
    --label-a "0.3.0 (post-fix)" --label-b "0.2.41 (golden)"

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