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Calcium-Ion
6cf0d90b5f
* fix(model): find channels for @-modified model names without the memory cache
With the channel memory cache off (no Redis and MEMORY_CACHE_ENABLED
unset), channel selection matched abilities by the exact requested name,
so a name such as deepseek-flash@effort:max found no channel. Retry with
the routing name when the exact name has no channel, as the cached path
already does.
* feat(deepseek): support V4.1 Flash, the Search and Fetch APIs, and @ reasoning modifiers
Follows the DeepSeek API update of 2026-10-17.
- Default models: deepseek-flash and deepseek-v4-pro, each with -none,
-low and -max, plus deepseek-search and deepseek-fetch. The retired
deepseek-chat, deepseek-reasoner and deepseek-v4-flash names are no
longer listed.
- Thinking: the -none/-low/-max tails also work on deepseek-flash.
@thinking and @effort now reach DeepSeek's own fields on Chat
(thinking, reasoning_effort), Anthropic (thinking, output_config.effort)
and Responses (reasoning.effort), and take precedence over the tails.
- Built-in prices: peak/off-peak expressions for deepseek-flash (also the
deepseek-v4-flash aliases) and deepseek-v4-pro, and $0.75 per 1,000
requests for deepseek-search and deepseek-fetch.
- Server-side search: searches and page fetches DeepSeek runs for Claude
Code and Codex bill at $0.75 per 1,000 under deepseek_search and
deepseek_fetch, whatever model name the client sent. Searches whose
results already arrived stay billed when a stream ends before its final
usage; this also applies to Alibaba's Anthropic endpoint.
- New endpoints POST /v1/tools/search and /v1/tools/fetch relay the
DeepSeek APIs like /v1/alpha/search. A call is charged only when
DeepSeek returns results or page content.
* fix(deepseek): price /v1/tools/search and /v1/tools/fetch by endpoint
A model named in the request body chose the billing model, so a body such
as {"query":"...","model":"deepseek-flash"} was priced as a chat model with
no tokens and the search or fetch cost nothing. Both endpoints now always
use their routing name, deepseek-search or deepseek-fetch. DeepSeek ignores
the body field, so the body is still forwarded unchanged.
* fix(deepseek): bill Claude-format page fetches at the DeepSeek Fetch price
usage.server_tool_use.web_fetch_requests always went to the web_fetch
tool price, which has no built-in value, while only searches used the
DeepSeek key. A channel can now name its own fetch key next to the search
key, and DeepSeek channels bill reported fetches under deepseek_fetch. A
channel retry clears it like the search key.
70 lines
3.1 KiB
Go
70 lines
3.1 KiB
Go
package common
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import "github.com/QuantumNous/new-api/constant"
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// GetEndpointTypesByChannelType 获取渠道最优先端点类型（所有的渠道都支持 OpenAI 端点）
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func GetEndpointTypesByChannelType(channelType int, modelName string) []constant.EndpointType {
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// The DeepSeek Search and Fetch routing names serve only their endpoint.
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switch modelName {
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case constant.DeepSeekSearchModel:
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return []constant.EndpointType{constant.EndpointTypeDeepSeekToolsSearch}
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case constant.DeepSeekFetchModel:
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return []constant.EndpointType{constant.EndpointTypeDeepSeekToolsFetch}
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}
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var endpointTypes []constant.EndpointType
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switch channelType {
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case constant.ChannelTypeJina:
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endpointTypes = []constant.EndpointType{constant.EndpointTypeJinaRerank}
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//case constant.ChannelTypeMidjourney, constant.ChannelTypeMidjourneyPlus:
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// endpointTypes = []constant.EndpointType{constant.EndpointTypeMidjourney}
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//case constant.ChannelTypeSunoAPI:
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// endpointTypes = []constant.EndpointType{constant.EndpointTypeSuno}
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//case constant.ChannelTypeKling:
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// endpointTypes = []constant.EndpointType{constant.EndpointTypeKling}
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//case constant.ChannelTypeJimeng:
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// endpointTypes = []constant.EndpointType{constant.EndpointTypeJimeng}
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case constant.ChannelTypeAws:
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fallthrough
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case constant.ChannelTypeAnthropic:
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endpointTypes = []constant.EndpointType{constant.EndpointTypeAnthropic, constant.EndpointTypeOpenAI}
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case constant.ChannelTypeVertexAi:
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fallthrough
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case constant.ChannelTypeGemini:
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endpointTypes = []constant.EndpointType{constant.EndpointTypeGemini, constant.EndpointTypeOpenAI}
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case constant.ChannelTypeOpenRouter: // OpenRouter 只支持 OpenAI 端点
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endpointTypes = []constant.EndpointType{constant.EndpointTypeOpenAI}
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case constant.ChannelTypeXai:
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endpointTypes = []constant.EndpointType{constant.EndpointTypeOpenAI, constant.EndpointTypeOpenAIResponse}
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case constant.ChannelTypeVLLM, constant.ChannelTypeSGLang:
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endpointTypes = GetAdvancedCustomPreset(channelType).SupportedEndpointTypesForModel(modelName)
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case constant.ChannelTypeSora:
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endpointTypes = []constant.EndpointType{constant.EndpointTypeOpenAIVideo}
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case constant.ChannelTypeSub2API, constant.ChannelTypeNewAPI:
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endpointTypes = []constant.EndpointType{
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constant.EndpointTypeOpenAI,
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constant.EndpointTypeOpenAIResponse,
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constant.EndpointTypeOpenAIResponseCompact,
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constant.EndpointTypeAnthropic,
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constant.EndpointTypeGemini,
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constant.EndpointTypeOpenAIAlphaSearch,
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}
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case constant.ChannelTypeCodex:
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endpointTypes = []constant.EndpointType{
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constant.EndpointTypeOpenAIResponse,
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constant.EndpointTypeOpenAIResponseCompact,
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constant.EndpointTypeOpenAIAlphaSearch,
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}
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default:
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if IsOpenAIResponseOnlyModel(modelName) {
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endpointTypes = []constant.EndpointType{constant.EndpointTypeOpenAIResponse}
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} else {
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endpointTypes = []constant.EndpointType{constant.EndpointTypeOpenAI}
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}
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}
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if IsImageGenerationModel(modelName) {
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// add to first
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endpointTypes = append([]constant.EndpointType{constant.EndpointTypeImageGeneration}, endpointTypes...)
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}
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return endpointTypes
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}
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