Commit Graph

9 Commits

Author SHA1 Message Date
9bec158d2e chore(main): 回流 release/v2.0.x(v2.0.12)—— 内容对齐,main 无独有内容
按发布纪律回流。**注意这是内容对齐而非 merge**,理由与依据:

1. 纪律禁止 merge 回主干,因为 merge 会把发布分支的**版本号变更**带进 main。
   本项目版本号**只由 `git describe --tags` 推导**(Makefile VERSION),
   仓库里没有任何文件存放版本号 ⇒ 回流不存在版本污染风险。
2. 逐项核对确认 **main 是 release 的内容严格子集**:
   - `main` 独有的**文件**:0 个;
   - `internal/lua/plugins.go` / `internal/core/kernel_actions.go` 等内核文件
     main 独有行数:0;
   - `deploy.sh` 那 14 行只是 emoji 清理(release 刻意去掉了 emoji);
   - `channels.lua` 那 333 行是**旧版内容**(旧 exports 表、旧模型名单)。
   - main 独有的 9 个提交按 patch-id **全部已在 release 中等效存在**
     (`git cherry` 逐条列出均为 `-`,即已合入)。
3. 故回流 = 把 release 的内容带到 main,等价于"只捡拾修复、不带版本号",
   且不会丢任何 main 独有的修复。

本次带回 v2.0.12 的全部内容(37 个提交):
- 源串行 + 按模型节流(照 model-gate)
- 已失效模型存储 + 远端目录闸门
- 余额分档选号
- 模型能力元数据(models.dev,isFree 权威判定)
- **凭据续期修复**(此前恒报 ok:true 却一个请求都不发)
- 通用件 TTL 缓存 + 串行锁;account_test/account_adopt/account_delete 修正
- 内核级:出站授权持久化重启后不生效、`__llmsproxy_plugin_dir` ground truth

校验:`git diff release/v2.0.x` = 0 行;`go build -tags luajit ./...` 通过。
2026-10-14 16:52:58 +08:00
93eeba3762 feat(types): 统一格式落地为内核实际使用的类型 —— 私有字段泄漏归零
Phase 2 收尾(入向)。ChatRequest 从"客户端发什么就是什么"改为
UnifiedRequest(最大集合)的别名,内核真正用上了那个超集类型。

改掉的具体缺陷:

1. 私有字段泄漏归零(v1 的核心问题)
   v1 的 disable_thinking 是内核私有开关,却被序列化进交给适配器的 body,
   迫使 10 个适配器各自写 req.disable_thinking = nil 来清理。
   现在它是中立的 thinking 字段({enabled, budget_tokens}),客户端与
   适配器都认这个词:
   - gateway/chat.go:thinkingFromClient() 把 disable_thinking 翻译成
     thinking.enabled=false;冲突时中立字段优先(它能带预算,布尔不能)
   - deepseek.lua:thinking.enabled=false → extra_body.thinking.type=disabled
   - anthropic.lua:thinking.enabled=true + budget → 原生 {type,budget_tokens}
     (enabled=false 时不传该字段——Anthropic 没有 type=disabled 这个写法)
   - 其余 7 个适配器:把"清理内核私有字段"改成"清理中立字段"

2. Tools/ToolChoice 改 json.RawMessage
   原为 []interface{}(OpenAI 原始形状 = 内核在假设某个协议)。
   内核从不解释工具 schema——它原样交给适配器,所以原始形状不损失任何
   内核侧统一性。ToolDef 结构化类型保留在包内供新适配器选用。

3. 删除 MarshalJSON 后门
   v1 手工 splice ExtraBody 进 OpenAI 形状的 body;现在 ExtraBody 是
   UnifiedRequest 上一个正正经经声明的字段。

渐进迁移:ChatRequest 保留为别名(不是新类型),49 处引用零改动编译,
语义变更不被机械改名淹没。

测试:新增 thinking_test.go(翻译链 4 例 + 泄漏回归 + tools 透传);
vm_test.go 两处迁移到中立语义。golden 字节级未漂移。
2026-10-11 09:35:32 +08:00
dev
21ec8f59d8 feat: surface zero cache hits — distinguish 'missed' from 'not reported'
Live testing across the zen pool showed models report
prompt_tokens_details.cached_tokens even when the hit count is 0 (e.g.
nemotron-3-ultra-free returns cached_tokens:0, audio_tokens:0,
cache_write_tokens:0). The previous >0 guard dropped those objects, so a
cache-enabled upstream looked identical to one without cache support.

- types: PromptTokensDetails.CachedTokens always emitted (drop inner
  omitempty) so clients see cached_tokens:0 explicitly; dsh reads it as
  a 0% hit instead of 'no data'
- adapters (9): forward prompt_tokens_details whenever the upstream
  provides it (presence check instead of >0)
- Req: add cache_reported flag set when usage carried cache accounting;
  WebUI shows an amber 0% tag for reported-but-missed rows and keeps
  the em-dash only for sources that never report cache data
2026-08-25 10:04:44 +08:00
dev
ec89daad62 fix(adapters): pass through cache tokens in the remaining 8 adapters
Live testing proved both sensenova and zen DO return cache fields:
- zen laguna-s-2.1-free: usage.prompt_tokens_details.cached_tokens = 32
  (real hit), plus cache_write_tokens/audio_tokens
- sensenova glm-5.2: prompt_tokens_details.cached_tokens present (0 on
  short prompts)

The previous round only patched deepseek/openai/anthropic/gemini.lua;
sensenova/opencode (localzen!) and the other adapters still dropped them.

- sensenova/opencode/groq/mistral/github/kimicode: stream + response
  cache passthrough (same pattern as openai.lua)
- agentrouter: response passthrough + NEW stream usage forwarding (it
  previously dropped the terminal usage-only chunk entirely)
- ollama skipped intentionally: its native API has no cache fields

Verified end-to-end through the gateway: localzen/laguna-s-2.1-free now
returns prompt_tokens_details.cached_tokens=32 to clients, and the request
record carries cache_hit_tokens (both chat and stream paths).
2026-08-25 09:52:55 +08:00
b2183df1e8 feat(adapter): move per-source error condensing into transform_error hooks
Every upstream formats errors differently, which is adapter territory:
the protocol gains an optional transform_error(status, body) hook and all
built-in adapters implement their own envelope parsing (zen free-pool
labels, anthropic/gemini/ollama/mistral shapes, sensenova quota notes,
agentrouter WAF pages). The core keeps a single uniform fallback: when no
hook yields a reason clients get "api error <status>: unknown error" and
the raw body goes to server logs only.
2026-08-24 19:17:36 +08:00
bb3af3bdb3 feat(gateway): pass through upstream finish_reason end-to-end
The gateway hardcoded "stop" on every terminating stream chunk, so
tool-call rounds reported finish_reason=stop and length caps were
invisible to clients. UnifiedChunk now carries finish_reason; adapters
emit it (with empty-string finish reasons like sensenova treated as
non-terminal), standardSSEChunk passes it through for un-adapted
upstreams, [DONE] no longer emits a duplicate reason-less done chunk,
and both streaming paths emit the real reason with "stop" as fallback.

Also vendor sensenova/agentrouter adapters into the repo: they were
WebUI-only uploads and a deploy sync silently removed them while live
AUTO-chain slots still referenced them.
2026-08-24 15:05:50 +08:00
3069cfce4e fix(gateway): pass through upstream token usage in streams for all adapters
The prior usage-passthrough fix only covered openai/opencode; the same
empty-choices+usage drop bug remained in the 5 sibling OpenAI-compatible
adapters, and non-OpenAI providers (anthropic/gemini/ollama) never surfaced
streaming usage at all.

- deepseek/github/groq/kimicode/mistral: preserve usage on empty-choices
  chunks and attach it to normal chunks (same pattern as openai.lua)
- anthropic: emit usage from message_start (prompt) and message_delta
  (completion); gateway merges split usage additively
- gemini: read usageMetadata in the stream path
- ollama: fix non-streaming key (usage -> token_usage, matches
  UnifiedResponse json tag) and read prompt_eval_count/eval_count;
  surface counts from the done stream chunk
- gateway: mergeUsage combines usage across chunks (non-zero fields win,
  total recomputed from prompt+completion) so split usage doesn't lose
  the prompt half; single-chunk case (OpenAI) preserved exactly
- usage-only chunks: done=false (no redundant terminal stop), matching
  the Go fallback standardSSEChunk
2026-08-18 23:24:01 +08:00
5d50b69153 fix: tool call anchor & wire format, streaming chunk passthrough, WebUI narrow-screen, docs bilingual 2026-08-08 11:26:58 +08:00
f7f76e097d feat: ModelRouter — unified OpenAI-compatible multi-source LLM gateway
- Lua adapters per upstream (transform_request/response/stream_chunk, build_headers signing hooks)
- AUTO priority routing with per-model kind (chat/image), explicit source/model routing
- Per-source concurrency caps with queueing, exponential backoff, AUTO failover
- OpenAI-compatible API: chat completions, SSE streaming, image generations, models
- Gateway key auth, web UI for adapter/source management, runtime persistence
- e2e test running the real binary against mocked upstreams
2026-08-05 15:25:47 +08:00