Forward unrecognized OpenAI-compatible generateKwargs keys through extraBody while reserving documented provider control keys such as modelsPath.\n\nVerification:\n- cd mateclaw-server && mvn -pl . test -Dtest=OpenAiCompatibleChatModelBuilderTest,ModelDiscoveryServiceTestPromptTest\n- cd mateclaw-ui && node --max-old-space-size=6144 ./node_modules/vue-tsc/bin/vue-tsc.js --noEmit
Custom (user-added) providers were hard-coded supportModelDiscovery=false in
createCustomProvider, so self-hosted OpenAI-compatible endpoints (vLLM /
Xinference / LocalAI / gateways) never surfaced the 'discover models' button —
users had to add every model id by hand.
- ModelProtocol: add per-protocol supportsSelfConfiguredDiscovery() + resolve()
helper (single source of truth for chat-model class and capability flags).
baseUrl+apiKey protocols (openai-compatible, dashscope-native, gemini-native,
anthropic-messages) => true; OAuth protocols => false. The flag is deliberately
narrower than 'can ever discover' (built-in ChatGPT-OAuth still discovers via
its OAuth session); javadoc warns against reusing it to gate the button.
- createCustomProvider: default supportModelDiscovery from the resolved protocol
instead of always false. Existing rows are unaffected (no migration).
- OpenAiModelsPath: new single source of truth for the models-listing path,
honoring an optional 'modelsPath' generateKwargs override (mirrors the existing
'completionsPath' override) for endpoints behind a reverse proxy / non-standard
prefix (e.g. /openai/v1/models) that would otherwise 404 on /v1/models.
Shared by BOTH discovery (ModelDiscoveryService) and the failover liveness
probe (OpenAiCompatibleListModelsProbe) so an override can't make a provider
discoverable yet still marked unhealthy by a probe hitting the wrong path.
- Tests: ModelProtocolTest (capability table + resolve fallback), OpenAiModelsPathTest
(path branch table + vendor cases + modelsPath override), and custom-provider
discovery-default assertions. Path-resolution coverage consolidated into
OpenAiModelsPathTest (was split across the discovery + probe test files).
- Docs: zh/en models.md note custom-provider discovery + modelsPath override.
Refs matevip/mateclaw#519
openAiCompatibleClientBuilder() was creating a new java.net.http.HttpClient
per request. Each instance spawns a selector thread and connection pool that
are never closed, exhausting the OS thread limit under frequent model-test
calls (e.g. DeepSeek provider).
Elevate the HttpClient to a static singleton so all OpenAI-compatible
provider requests share one connection pool and one selector thread.
Closesmatevip/mateclaw#328
Closes#168
The native DashScope provider exposes both chat and embedding models, but
DASHSCOPE_NATIVE_ALLOW_PREFIXES only listed chat families
(qwen-/qwen2-/qwen3-/deepseek-/baichuan/yi-/llama). When a user manually
added text-embedding-v1/v2/v3/v4 to the dashscope provider,
assertModelIdAcceptable() rejected the id because no allow prefix matched.
Add 'text-embedding-' to the allow-list and broaden the doc comment from
"native chat protocol" to "native protocol (chat or embedding)" so the
intent is clear.
Discovery probing is chat-based and will still mark embedding entries
probeOk=false; surfacing them as discoverable embedding suggestions is a
separate follow-up.
- Generalize the OpenAI-compatible chat/models path resolver so any
baseUrl ending in /v{N} (Ark /v3, Zhipu /v4, ...) drops the duplicate
/v1 prefix. Volcano Engine test-connection and chat were posting to
/api/v3/v1/chat/completions and getting 404.
- Replace the six pre-seeded Doubao alias rows (doubao-1.5-*) with five
valid Ark direct-call ids (doubao-seed-1-8-251228 etc.) and flip
support_model_discovery=TRUE so users can refresh their account's
actual catalog. Aliases were marketing names, not API names, so every
call hit InvalidEndpointOrModel.NotFound.
- Translate Ark business errors into actionable Chinese hints: include
the response body in the error chain, match ModelNotOpen and
InvalidEndpointOrModel codes, extract the offending model id, and
classify them as MODEL_NOT_FOUND so failover skips retries.
Full-stack AI assistant built on Spring AI Alibaba.
Features: ReAct Agent, Plan-and-Execute, MCP Protocol, Multi-Model, Multi-Channel.
Apache-2.0 License
