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feat(examples): run the OpenCode example on one GPU with Qwen3.8-27B-FP8 - #756
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# Conflicts: # examples/coding-agent-opencode/conformance.py
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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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📒 Files selected for processing: 11
examples/README.mdexamples/coding-agent-opencode/README.mdexamples/coding-agent-opencode/conformance.pyexamples/coding-agent-opencode/recipes/cluster/opencode.jsonexamples/coding-agent-opencode/recipes/gpu/opencode.jsonexamples/coding-agent-opencode/run_gate.shexamples/coding-agent-opencode/session_load.pyexamples/coding-agent-opencode/tests/test_conformance.pyexamples/coding-agent-opencode/tests/test_fake_engine.pyexamples/coding-agent-opencode/tests/test_run_gate.pyexamples/coding-agent-opencode/tests/test_session_load.py
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krisztian-gajdar
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Oct 19, 2026
Resolve the OpenCode example conflicts with the one-GPU recipe (#756): list the gpu and openrouter recipes together, keep main's key check that applies only to a recipe that reads SIE_BASE_URL and SIE_API_KEY, and add the openrouter recipe to its test instead of a second key test.
krisztian-gajdar
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Oct 19, 2026
conformance.py gained the long_tool_call case in #756. The stand-in now answers it with the whole write_file call, streamed in 4 KiB argument pieces, so the recipe test expects 11 pass and pins the twelfth request. The pending real-key results gain a long_tool_call row.
krisztian-gajdar
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Oct 19, 2026
…penRouter upstream (#735) * fix(server): accept a usage event that restates a finished chat choice An OpenAI-compatible upstream may end a chat stream with a usage event that repeats the finished choice with an empty delta and the same finish_reason, instead of an empty choices array. OpenRouter documents this form. The remote chat parser refused any event for a finished choice, so every streamed answer from such an upstream failed as an invalid chat response. The parser now drops a choice on the usage event that restates its finish reason and carries nothing else, and forwards the usage as an OpenAI-form chunk. A restated choice with content, reasoning, tool calls, logprobs, a different finish reason, or without usage is still refused. * feat(examples): run the OpenCode example on self-hosted SIE with an OpenRouter upstream Adds a fourth recipe: sie-server on the reader's machine serves zai-org/GLM-5.3-Flash as a remote-backed model through an OpenRouter upstream, and OpenCode talks to the local server. The recipe holds the server's upstreams.yaml and models directory and the OpenCode config. run_gate.sh accepts it as a local-server recipe that needs no SIE key. A new test starts the repository's sie-server with the recipe pointed at a loopback stand-in that streams the way OpenRouter documents (SSE comment lines, a reasoning field, tool-call deltas, a usage event that restates the finished choice) and runs conformance.py against it. The README records how to run it and leaves the real-key result pending. * docs(examples): say only the server needs the OpenRouter key * fix(examples): drop require_parameters from the OpenRouter recipe Every OpenRouter endpoint of z-ai/glm-5.3-flash lists tools and tool_choice, and OpenRouter already sends a request with tools only to providers that support them, so the preference added no guarantee. It did hold each request to the parameters a provider lists, and the server adds stream_options to every streamed request, which no endpoint lists. The stand-in now refuses a require_parameters request with 404 when a field falls outside every endpoint's published parameter list, and the test pins the exact fields the server forwards. The README says which failures answer 502 upstream_error. * fix(server): log why a remote chat request failed The single-node remote chat route answered every refused or broken upstream call with the same fixed 502 (or, after output, the same in-stream error) and logged nothing but the access line, so a missing upstream key, a 401, a 402, a 404 and an upstream error event all looked the same to an operator. The route now logs the failure's reason at warning level, for example "the upstream credential is unavailable" or "upstream answered 401". The reason is the server's own fixed text and repeats nothing the upstream sent. The caller's answer is unchanged. An OpenAI-compatible answer that carries an error object in place of the chat answer, as an upstream sends when the provider behind it fails after the 200, is now reported as "upstream sent an error instead of a chat answer" rather than as an invalid chat response, so the log tells it apart from an answer the parser refused. * test(examples): pin each OpenRouter request and the stand-in's routing rule The stand-in now applies require_parameters only to the parameter names OpenRouter's public model list uses, the LLM parameters its provider routing docs refer to. stream and stream_options are not among them. Under that rule the recipe's earlier require_parameters setting would have excluded none of the model's 33 endpoints for any request the server sends, so it was not shown to cause the 502s of the first run with a real key. The test pins the exact fields and values of each request the conformance check sends through the server, and checks that a 401, 402, 404 or an error event from the stand-in comes back as a 502 whose reason the server log names. The fixture gains the 26 parameter names from OpenRouter's model list. The README lists what a 502 on this route can mean and the log reason for each, states what dropping require_parameters changes, and records that tool_choice_required can fail on an endpoint without "required" support. * docs(examples): name the statuses that give 503 on the OpenRouter route * docs(examples): scope the OpenRouter 502 to upstream failures * docs(examples): state the OpenRouter 400, 402 and unset-key behavior the server now has An OpenRouter 400 or 422 now reaches the caller as 400 invalid_request with its own log line, the server warns at startup when OPENROUTER_API_KEY is unset, and the chat route checks calls against the request's tools. The 402 row names the paid model. * docs(examples): say a successful real-key OpenRouter run is still pending * docs(examples): name the OpenRouter recipe test beside the fake-engine test * test(examples): answer the long tool call in the OpenRouter stand-in conformance.py gained the long_tool_call case in #756. The stand-in now answers it with the whole write_file call, streamed in 4 KiB argument pieces, so the recipe test expects 11 pass and pins the twelfth request. The pending real-key results gain a long_tool_call row. * docs(examples): give the OpenRouter recipe the caller messages for each upstream failure Since #744 a remote upstream failure answers the caller with a message and reason that name its class instead of "upstream generation request failed". The recipe test now expects those messages for the 401, 402, 404 and error-event cases, and the README table lists each log line beside the message the caller gets. --------- Co-authored-by: Krisztian Gajdar <krisztian@superlinked.com>
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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 singlesie-serveronhttp://localhost:8080/v1, published on loopback only in the README'sdocker runline, 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.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 theopenaipackage, likeconformance.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: along_tool_callcase. It asks for onewrite_filecall of 1,320 numbered lines (67,363 bytes of arguments, about 20,000 tokens) withmax_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 refusesmax_tokens: 32000, are recorded.run_gate.sh: the SIE key check applies only to a recipe that reads{env:SIE_...}, so./run_gate.sh gpuneeds no key.Recorded on one H100 (2026-10-15)
00d7d732; the long call failed at 30 s before it)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 thegrep -q '{env:SIE_'check, which also covers its recipe.Tests
uv run pytestin the example: new stub tests for the long call (whole, short, declined, truncated, cut by an error event, ended by the output cap,max_tokensrefused), forsession_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 againstsie-fake:chat's 4,096-token cap.Summary by CodeRabbit
New Features
Documentation