feat(examples): run the OpenCode example on one GPU with Qwen3.8-27B-FP8

[krisztian-gajdar]

Summary

Runs the OpenCode example on one 80 GB GPU with Qwen/Qwen3.8-27B-FP8:h100-256k-batch, and records it on one H100 through both the single server and the cluster gateway.

• recipes/gpu/opencode.json: a single sie-server on http://localhost:8080/v1, published on loopback only in the README's docker run line, with the profile's exact window (262,144) and output cap (32,768).
• recipes/cluster/opencode.json: adds the same model entry and makes it the recipe's default model, since it is the one entry that was run.
• Both Qwen3.8 entries send presence_penalty: 0. On BFCL it scored higher than the profile's default of 1.5 on both routes, and every row that passed at 1.5 also passed at 0.
• session_load.py: a session load generator on the openai package, like conformance.py. It runs N agent-shaped sessions at once (a shared system prompt, growing transcripts sent back whole) and reports decode rate, returning-turn time to first token and cached prompt tokens per session count, judged against a bar set before the runs.
• conformance.py: a long_tool_call case. It asks for one write_file call of 1,320 numbered lines (67,363 bytes of arguments, about 20,000 tokens) with max_tokens: 32000, as OpenCode sends. A broken stream or unparseable arguments fail; a model that declines, writes less or runs out of tokens, and an endpoint that refuses max_tokens: 32000, are recorded.
• run_gate.sh: the SIE key check applies only to a recipe that reads {env:SIE_...}, so ./run_gate.sh gpu needs no key.
• README: run instructions for one GPU, the new case and generator, and the recorded results.

Recorded on one H100 (2026-10-15)

	Single server	Cluster gateway
Conformance	11 pass, 0 fail, 1 recorded	11 pass, 0 fail, 1 recorded (at 00d7d732; the long call failed at 30 s before it)
Seeded gate	5/5 at pp 1.5, 5/5 + 3/3 at pp 0	5/5 at pp 1.5, 3/3 at pp 0
BFCL simple / multiple, pp 1.5	0.8975 / 0.910	0.925 / 0.935
BFCL simple / multiple, pp 0	0.925 / 0.920	0.945 / 0.945
Sessions meeting the bar (≥30 tok/s and ≤3 s returning TTFT at p90)	6 at ~61K, 2 at ~128K	6 at ~61K, 2 at ~128K

• KV cache 325,056 tokens; first answer 197 s after start in a new container, 76 s after a restart.
• Prefix reuse works across agent turns: about 86% of each returning turn's prompt was cached through the gateway.
• One real issue (GLiNER adapters count document subwords twice when a window starts on a hyphen inside a long word #717) run as a long OpenCode session: up to 140K tokens with no serving error on either route, but not fixed within 100 steps. The README says so.

Overlap

#735 edits the same two lines of run_gate.sh (the recipe list in the error message and the key check). Whichever lands second keeps the grep -q '{env:SIE_' check, which also covers its recipe.

Tests

uv run pytest in the example: new stub tests for the long call (whole, short, declined, truncated, cut by an error event, ended by the output cap, max_tokens refused), for session_load.py (transcript replay, sizing, summary, failed turn, bar at p90) and for the gate's key check per recipe; the fake-engine test asserts the long call is recorded as not run against sie-fake:chat's 4,096-token cap.

Summary by CodeRabbit

• New Features

  • Added a single-GPU OpenCode setup using Qwen3.8-27B-FP8, alongside laptop, cluster, and cloud setups.
  • Added long tool-call conformance checks and a session-load testing option that reports latency, token usage, and errors.
  • Added GPU recipe support and checks for long tool calls in the OpenCode gate.

• Documentation

  • Updated setup instructions and recorded GPU and cluster results, including conformance and session-load measurements.
  • Clarified performance observations and limitations, including cases not run because of model output limits.

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📝 Walkthrough

The OpenCode example adds GPU and cluster configurations, a long tool-call conformance case, and a concurrent session-load script. Tests and documentation cover the configurations, measurement workflows, and recorded results.

Changes: OpenCode GPU and workload checks

Layer / File(s)	Summary
GPU and cluster recipes examples/README.md, examples/coding-agent-opencode/README.md, examples/coding-agent-opencode/recipes/*/opencode.json, examples/coding-agent-opencode/run_gate.sh, examples/coding-agent-opencode/tests/test_run_gate.py	Adds a GPU recipe and updates the cluster recipe to use Qwen3.8-27B-FP8. The gate checks SIE credentials only when the selected recipe configuration references SIE environment variables. The README documents setup and recorded results.
Long tool-call conformance examples/coding-agent-opencode/conformance.py, examples/coding-agent-opencode/tests/test_conformance.py, examples/coding-agent-opencode/tests/test_fake_engine.py, examples/coding-agent-opencode/README.md	Adds a streamed write_file call with a 65,536-byte minimum, records stream timing, and classifies incomplete calls, token-limit refusals, and invalid responses. Tests cover these outcomes and the fake engine’s output cap.
Concurrent session-load measurements examples/coding-agent-opencode/session_load.py, examples/coding-agent-opencode/tests/test_session_load.py, examples/coding-agent-opencode/README.md	Adds concurrent sessions that resend transcripts and report token, latency, cache, and error measurements. Tests cover prompt sizing, transcript replay, error handling, and pass-bar evaluation.

Sequence Diagram(s)

sequenceDiagram
  participant Load as session_load.py
  participant Endpoint as OpenAI-compatible endpoint
  participant Report as JSON report
  Load->>Endpoint: Send transcript turns and stream requests
  Endpoint-->>Load: Return streamed answers and usage
  Load->>Report: Write turn records and session-level metrics

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Suggested reviewers: svonava

Priority: ⬇️ Low

Merge Risk: ⚪ Minimal · up to a1cd3

The documented GPU workload can be run as written, and no merge-blocking issue was identified.

Pre-merge checks: 4 · 1

Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 58 functions across 7 files. (1 skipped: 1…	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

Check name	Status	Explanation
Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title clearly identifies the main change: adding a one-GPU OpenCode example using Qwen3.8-27B-FP8.
Linked Issues check		Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.

Full details: Docstring Coverage

Explanation

Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 58 functions across 7 files. (1 skipped: 1 unsupported.)

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Actionable comments posted: 3

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• 🪄 Fix comments: Fix CodeRabbit comments on this PR

🤖 Prompt to fix review comments

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Inline comments:
Review comments at @examples/coding-agent-opencode/conformance.py:
- Line 833: Update the long-call validation around LONG_CALL_MIN_BYTES so it
does not report pass based on argument size and finish_reason alone. Require
exactly one write_file call targeting notes/pangrams.txt with all 1,320 numbered
lines, and verify the recorded lines_as_asked; add a test using large, valid but
incorrect arguments.

Review comments at @examples/coding-agent-opencode/session_load.py:
- Line 124: In stream_turn, validate the recorded finish_reason before setting
record.seconds: treat filtered or missing completion reasons as errors, and
reject stop responses that fall materially short of the --output-tokens target.
Ensure run_session does not append rejected partial answers and summarise does
not count those turns as successful.
- Around line 127-128: Update the decode_tps calculation using first and last so
its token count matches the timed interval: count visible content tokens emitted
after the first timed chunk, excluding reasoning tokens and tokens in that
initial chunk, or use a metric whose token count and timing cover the same
output.

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• Configuration used: Organization UI
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📥 Commits

Reviewing files that changed from the base of the PR and between 09b62a3 and 3898182.

📒 Files selected for processing: 11

• examples/README.md
• examples/coding-agent-opencode/README.md
• examples/coding-agent-opencode/conformance.py
• examples/coding-agent-opencode/recipes/cluster/opencode.json
• examples/coding-agent-opencode/recipes/gpu/opencode.json
• examples/coding-agent-opencode/run_gate.sh
• examples/coding-agent-opencode/session_load.py
• examples/coding-agent-opencode/tests/test_conformance.py
• examples/coding-agent-opencode/tests/test_fake_engine.py
• examples/coding-agent-opencode/tests/test_run_gate.py
• examples/coding-agent-opencode/tests/test_session_load.py

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