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Code Activity

refactor: extract protocol conversion layer into standalone relaykit module (#6369)

Browse Source 
* test(relayconvert): add golden snapshot matrix and relaykit boundary guard

Phase 0 of the relaykit extraction plan: pin byte-level output of every
registered (from,to) request/response/stream conversion route, and
forbid kit-bound packages from growing host-only imports.

* wip(relayconvert): drop gin.Context from converter signatures; add convmeta draft

Phase 1 in progress: relayconvert now takes context.Context; host media
resolver adapts gin.Context back at the service boundary.

* refactor(relayconvert): decouple converters from RelayInfo, gin, and settings

Phase 1 of the relaykit extraction plan:
- converters now depend on convmeta.Meta (implemented by RelayInfo) instead
  of *relaycommon.RelayInfo; ClaudeConvertInfo and the format guesser move
  to convmeta with aliases left behind
- host settings reach converters via a convmeta.Options snapshot built in
  RelayInfo.ConvOptions; no more model_setting/reasoning global reads inside
  the conversion layer
- effort-suffix helpers move to service/relayconvert/reasoning (old package
  forwards); chat-to-responses upgrade policy moves to service (host routing
  logic, not conversion)
- golden conversion matrix unchanged

* test(relayconvert): tighten boundary — kit packages now free of gin/setting imports

* refactor(dto): drop gin and logger dependencies

Phase 2 (part 1): dto.Request.IsStream now takes *http.Request instead of
*gin.Context (Gemini's impl reads query/path off the std request); dto's
three logger calls become common.SysError. Boundary test allowlist is now
empty — kit-bound packages import no gin/setting/logger/model.

* refactor(kit): extract dependency-free kitutil; dto/types/relayconvert stop importing common

Phase 2 of the relaykit extraction plan:
- new service/relayconvert/kitutil holds the pure helpers the kit needs
  (JSON wrappers, pointer/string/uuid/timestamp utils, MaskSensitiveInfo,
  pluggable LogInfo/LogError hooks, Debug flag)
- dto, types, and all relayconvert packages now use kitutil; their only
  remaining internal deps are dto/types/constant
- common keeps every original symbol (MaskSensitiveInfo delegates to
  kitutil) so host code is untouched; main.go routes kit logging into
  common.SysLog/SysError and mirrors DebugEnabled
- golden conversion matrix unchanged

* refactor(kit): move EndpointType/FinishReason to types; OpenRouter dialect via Options

Kit packages (dto/types/relayconvert/reasonmap) no longer import constant:
- EndpointType and finish-reason values live in types; constant re-exports
- the OpenRouter special-case in claude->openai request conversion reads
  Options.OpenRouterDialect, set by the host from the channel type;
  InitChannelMeta invalidates the cached snapshot on channel switch

* refactor: extract relaykit submodule (dto/types/relayconvert/reasonmap)

Phase 3 of the relaykit extraction plan:
- new go module github.com/QuantumNous/new-api/relaykit containing dto
  (minus task family), types, relayconvert (with convmeta/kitutil/reasoning),
  and reasonmap; host consumes it via require + replace, go.work for dev
- task-family dto (task/suno/midjourney/video) stays in the host dto
  package; dual-consumer host files alias it as taskdto
- relaykit builds and tests standalone (GOWORK=off): no host imports,
  no gin, no DB, no settings
- golden conversion matrix unchanged

* build(docker): copy relaykit/go.mod before go mod download

The local-replace submodule's go.mod must exist inside the build context
for the main module graph to resolve.

* fix: address relaykit extraction regressions

* fix: address relaykit review regressions

* docs: document Meta nil receiver contract

* fix(relaykit): fail OpenAI→Claude conversion without max_tokens; reject negative default_max_tokens

The Claude Messages API requires max_tokens (omitting it is a 400
"Field required"), but with a nil Options.Claude.DefaultMaxTokens hook
the converters silently emitted a request the upstream is guaranteed to
reject. Both OpenAI Chat and Responses → Claude conversions now return
sharedclaude.ErrMissingMaxTokens when no path (client value, default
hook, thinking-adapter floor) supplied one. Unreachable in the host,
which always configures the hook.

Host side, claude.default_max_tokens now rejects negative values at the
option API before persisting — they would wrap into huge unsigned values
during conversion. Zero stays allowed: the current API treats
max_tokens: 0 as cache pre-warming.

* fix: make Gemini safety settings read path race-free
This commit is contained in:
Calcium-Ion
2026-07-27 15:56:21 +08:00
committed by GitHub
parent f51dd4d808
commit 86ac0f7745
368 changed files with 7144 additions and 1594 deletions
Download Patch File Download Diff File Expand all files Collapse all files
relaykit/relayconvert/testdata/golden/request/claude_to_gemini.golden.json
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+94
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{
"contents": [
{
"role": "user",
"parts": [
{
"text": "What is in this image?"
},
{
"inlineData": {
"mimeType": "image/png",
"data": "aGVsbG8="
}
}
]
},
{
"role": "model",
"parts": [
{
"functionCall": {
"name": "get_weather",
"args": {
"city": "Paris"
}
},
"thoughtSignature": "context_engineering_is_the_way_to_go"
}
]
},
{
"role": "user",
"parts": [
{
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"name": "get_weather",
"response": {
"content": "15 degrees"
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{
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{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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}
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},
"required": [
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],
"type": "OBJECT"
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}
]
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],
"systemInstruction": {
"parts": [
{
"text": "You are a helpful assistant."
}
]
}
}
relaykit/relayconvert/testdata/golden/request/claude_to_openai.golden.json
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+67
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{
"model": "claude-test",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "data:image/png;base64,aGVsbG8=",
"MimeType": ""
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}
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}
}
]
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{
"role": "tool",
"content": "15 degrees",
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"tool_call_id": "toolu_abc"
}
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}
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]
}
relaykit/relayconvert/testdata/golden/request/claude_to_openai_responses.golden.json
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+54
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{
"model": "claude-test",
"input": [
{
"content": [
{
"text": "What is in this image?",
"type": "input_text"
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{
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{
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{
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"type": "object"
},
"type": "function"
}
]
}
relaykit/relayconvert/testdata/golden/request/gemini_to_claude.golden.json
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+61
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{
"model": "upstream-model",
"system": [
{
"type": "text",
"text": "You are a helpful assistant."
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"messages": [
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{
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{
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"type": "object"
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}
]
}
relaykit/relayconvert/testdata/golden/request/gemini_to_openai.golden.json
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{
"model": "upstream-model",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
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{
"type": "text",
"text": "What is in this image?"
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{
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{
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]
}
relaykit/relayconvert/testdata/golden/request/gemini_to_openai_responses.golden.json
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+55
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@@ -0,0 +1,55 @@
{
"model": "upstream-model",
"input": [
{
"content": [
{
"text": "What is in this image?",
"type": "input_text"
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{
"image_url": "data:image/png;base64,aGVsbG8=",
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{
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{
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"temperature": 0.7,
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"parameters": {
"properties": {
"city": {
"type": "string"
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"type": "object"
},
"type": "function"
}
]
}
relaykit/relayconvert/testdata/golden/request/openai_responses_to_claude.golden.json
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{
"model": "gpt-test",
"system": [
{
"type": "text",
"text": "You are a helpful assistant."
}
],
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?"
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{
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"source": {
"type": "base64",
"media_type": "image/png",
"data": "aGVsbG8="
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]
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{
"role": "assistant",
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relaykit/relayconvert/testdata/golden/request/openai_responses_to_gemini.golden.json
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+94
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@@ -0,0 +1,94 @@
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "What is in this image?"
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{
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}
relaykit/relayconvert/testdata/golden/request/openai_responses_to_openai.golden.json
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+63
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{
"model": "gpt-test",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{
"text": "What is in this image?",
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{
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"type": "object"
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}
]
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relaykit/relayconvert/testdata/golden/request/openai_to_claude.golden.json
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+81
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@@ -0,0 +1,81 @@
{
"model": "gpt-test",
"system": [
{
"type": "text",
"text": "You are a helpful assistant."
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"messages": [
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"type": "text",
"text": "What is in this image?"
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"data": "aGVsbG8="
}
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"tool_choice": {
"type": "auto"
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relaykit/relayconvert/testdata/golden/request/openai_to_gemini.golden.json
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+107
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@@ -0,0 +1,107 @@
{
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"text": "What is in this image?"
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}
relaykit/relayconvert/testdata/golden/request/openai_to_openai_responses.golden.json
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+59
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{
"model": "gpt-test",
"input": [
{
"content": [
{
"text": "What is in this image?",
"type": "input_text"
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{
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{
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"type": "string"
}
},
"required": [
"city"
],
"type": "object"
},
"type": "function"
}
]
}
relaykit/relayconvert/testdata/golden/response/claude_to_gemini.golden.json
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+66
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{
"candidates": [
{
"content": {
"role": "model",
"parts": [
{
"text": "The answer is 42."
},
{
"functionCall": {
"name": "get_weather",
"args": {
"city": "Paris"
}
}
}
]
},
"finishReason": "STOP",
"index": 0,
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}
],
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"usage_source": "anthropic",
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relaykit/relayconvert/testdata/golden/response/claude_to_openai.golden.json
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+64
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@@ -0,0 +1,64 @@
{
"id": "msg_fixed",
"model": "claude-test",
"object": "chat.completion",
"created": 0,
"choices": [
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