b92bff56a7
The supplier sent a bare {model,messages,stream} to the OpenAI/OpenRouter
endpoint — no max_tokens and no reasoning control — so reasoning ("thinking")
models like kimi-k2.6 emitted reasoning tokens that could consume the
completion budget and finish with reason=length (truncated/empty answer =
failed job). deepseek-v4-flash has no thinking; kimi-k2.6 does by default.
Add two optional, env-gated request params (defaults preserve current behavior,
so ChatMock/DeepSeek-direct suppliers are unaffected):
- OPENAI_REASONING=off -> send reasoning:{enabled:false} (disable thinking:
faster, cheaper, straight answers; no reasoning-starved length truncation)
- OPENAI_MAX_TOKENS=N -> forward max_tokens:N. Must stay below the model
context (kimi context = 262144), so the advert's 262144 cap cannot be sent
verbatim (provider 400s when prompt+max_tokens > context).
openai.ts builds the body conditionally; config.ts parses the env; wired
through jobRunner.ts (text) and server.ts (chat-session stream).
Deployed on the 4 kimi + 3 deepseek-flash suppliers with OPENAI_REASONING=off
and OPENAI_MAX_TOKENS=131072 (env files are host-only/gitignored).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Local Agents Marketplace
Local Agents Marketplace MVP. See docs/ARCHITECTURE.md for the architecture spec. Monorepo managed with pnpm workspaces. Work-in-progress; not production-ready.