File size: 8,167 Bytes
68d7816 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 | import { LifecycleScope } from '#/app/scopes';
import { ScopeActivation, registerScopedService } from '#/_base/di/scope';
import { UNKNOWN_CAPABILITY, toLlmCapability, type ModelCapability } from '../contract/capability';
import type { ModelThinkingMetadata } from '#human/llm/thinking';
import type { ProviderMediaContribution } from '#human/llm/media/upload';
import type { LlmModel } from '#human/llm/model';
import type { ProtocolBase } from '#human/llm/protocol/base';
import type { ProviderConnection } from '#human/llm/protocol/connection';
import type { ProtocolTraitFor } from '#human/llm/provider/definition';
import type { LlmErrorClassifier } from '#human/llm/requester/requester';
import { anthropicBase, anthropicBetaBase } from '#human/llm/requester/bases/anthropic/requester';
import {
createGoogleGenAIBase,
googleGenAIBase,
} from '#human/llm/requester/bases/google-genai/requester';
import type { OpenAITrait } from '#human/llm/requester/bases/openai/trait';
import { openAIBase } from '#human/llm/requester/bases/openai/requester';
import { openAIResponsesBase } from '#human/llm/requester/bases/openai-responses/requester';
import { KimiFiles, kimiFilesBaseUrl } from '#human/llm-kimi/files';
import type { Model } from '../model/catalog';
import type { ResolvedLlmModel } from '../model/model-requester-impl';
import {
anthropicConnection,
geminiConnection,
getProviderDefinition,
openAIConnection,
vertexConnection,
} from '../provider/provider-definition';
import { IProtocolAdapterRegistry, type Protocol } from './protocol';
import { getProtocolBase, listProtocolBases, type ProtocolBaseId } from './protocol-base';
const vertexGenAIBase = createGoogleGenAIBase({ vertexai: true });
const kimiMedia: ProviderMediaContribution = {
uploadVideo: (video, { model, signal }) =>
new KimiFiles({
apiKey: model.apiKey,
baseUrl: kimiFilesBaseUrl(model),
defaultHeaders: model.defaultHeaders === undefined ? undefined : { ...model.defaultHeaders },
}).uploadVideo(video, { signal }),
uploadImage: (image, { model, signal }) =>
new KimiFiles({
apiKey: model.apiKey,
baseUrl: kimiFilesBaseUrl(model),
defaultHeaders: model.defaultHeaders === undefined ? undefined : { ...model.defaultHeaders },
}).uploadImage(image, { signal }),
};
interface AdapterRoute {
readonly base: ProtocolBase<ProtocolTraitFor<Protocol>>;
readonly trait?: ProtocolTraitFor<Protocol>;
readonly connection?: ProviderConnection;
readonly classifyError?: LlmErrorClassifier;
readonly providerId: string;
readonly media?: ProviderMediaContribution;
}
function openAIReasoningTraitFor(model: Model): OpenAITrait | undefined {
const reasoningKey = model.providerOptions?.reasoningKey ?? model.reasoningKey;
return reasoningKey === undefined ? undefined : { reasoningKey };
}
function routeFor(model: Model): AdapterRoute {
const definition =
model.providerType === undefined
? undefined
: getProviderDefinition(model.providerType, model.protocol);
const routeMedia = definition?.modelSource === 'oauth-catalog' ? kimiMedia : undefined;
const custom =
definition !== undefined &&
(definition.trait !== undefined ||
definition.connection !== undefined ||
definition.classifyError !== undefined)
? definition
: undefined;
switch (model.protocol) {
case 'openai':
return custom !== undefined
? {
base: openAIBase,
trait: custom.trait,
connection: custom.connection,
classifyError: custom.classifyError,
providerId: 'openai',
media: routeMedia,
}
: {
base: openAIBase,
trait: openAIReasoningTraitFor(model),
connection: openAIConnection,
providerId: 'openai',
};
case 'openai_responses':
return custom !== undefined
? {
base: openAIResponsesBase,
trait: custom.trait,
connection: custom.connection,
classifyError: custom.classifyError,
providerId: 'openai-responses',
media: routeMedia,
}
: {
base: openAIResponsesBase,
connection: openAIConnection,
providerId: 'openai-responses',
};
case 'anthropic': {
const base = model.providerOptions?.betaApi === true ? anthropicBetaBase : anthropicBase;
return custom !== undefined
? {
base,
trait: custom.trait,
connection: custom.connection,
classifyError: custom.classifyError,
providerId: 'anthropic',
media: routeMedia,
}
: { base, connection: anthropicConnection, providerId: 'anthropic' };
}
case 'google-genai':
return model.providerOptions?.vertexai === true
? {
base: vertexGenAIBase,
connection: vertexConnection,
providerId: 'google_genai',
}
: {
base: googleGenAIBase,
connection: geminiConnection,
providerId: 'google_genai',
};
}
}
export class ProtocolAdapterRegistry implements IProtocolAdapterRegistry {
declare readonly _serviceBrand: undefined;
supportedProtocols(): readonly Protocol[] {
return listProtocolBases().map((base) => base.id);
}
resolveAdapterIdentity(protocol: Protocol, providerType?: string) {
const definition =
providerType === undefined ? undefined : getProviderDefinition(providerType, protocol);
const baseId: ProtocolBaseId = definition?.baseProtocol ?? protocol;
return { baseId, trait: definition?.trait };
}
resolveProviderBaseId(protocol: Protocol, providerType?: string): ProtocolBaseId {
const definition =
providerType === undefined ? undefined : getProviderDefinition(providerType, protocol);
return definition?.baseProtocol ?? protocol;
}
resolveCapability(protocol: Protocol, modelName: string, providerType?: string): ModelCapability {
const identity = this.resolveAdapterIdentity(protocol, providerType);
const definition =
providerType === undefined ? undefined : getProviderDefinition(providerType, protocol);
const hooked = definition?.capability?.(modelName);
if (hooked !== undefined) {
return toV2Capability(hooked);
}
const baseCapability = getProtocolBase(identity.baseId)?.base.capability?.(modelName);
if (baseCapability !== undefined) {
return toV2Capability(baseCapability);
}
return UNKNOWN_CAPABILITY;
}
resolve(model: Model): ResolvedLlmModel {
const route = routeFor(model);
const requester = route.base.createRequester({
connection: route.connection,
trait: route.trait,
classifyError: route.classifyError,
});
const llmModel: LlmModel & ModelThinkingMetadata = {
provider: route.providerId,
model: model.name,
capability: toLlmCapability(model.capabilities),
maxContextSize: model.maxContextSize > 0 ? model.maxContextSize : undefined,
maxInputSize: model.maxInputSize,
baseUrl: model.baseUrl,
defaultHeaders: Object.keys(model.headers).length > 0 ? { ...model.headers } : undefined,
supportEfforts: model.supportEfforts,
defaultEffort: model.defaultEffort,
offEffort: model.providerOptions?.offEffort,
alwaysThinking: model.alwaysThinking,
adaptiveThinking: model.providerOptions?.adaptiveThinking,
};
return { requester, protocol: model.protocol, model: llmModel, media: route.media };
}
}
function toV2Capability(capability: import('#human/llm/capability').ModelCapability): ModelCapability {
return {
image_in: capability.image_in,
video_in: capability.video_in,
audio_in: capability.audio_in,
thinking: capability.thinking,
tool_use: capability.tool_use,
max_context_tokens: 0,
dynamically_loaded_tools: capability.dynamically_loaded_tools,
};
}
registerScopedService(
LifecycleScope.App,
IProtocolAdapterRegistry,
ProtocolAdapterRegistry,
ScopeActivation.OnScopeCreated,
'provider',
);
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