import{generate}from'generate-graphql-client'generate({files:[{endpoint:{url:'https://www.example.com/graphql',headersFile:'src/graphql/headers.json'},output:'src/graphql/types.ts'}]}) The content ofsrc/graphql/headers.jsonis: {"Authorization":"Bearer ***"} In the code above, the c...
classShaderGeneratorMenu{[MenuItem("Edit/Rendering/Generate Shader Includes",priority=CoreUtils.Sections.section3+CoreUtils.Priorities.editMenuPriority+1)]asyncstaticTaskGenerateShaderIncludes(){awaitCSharpToHLSL.GenerateAll();AssetDatabase.Refresh();}} //CSharpToHLSL.cs/// /// Generate all shader co...
post("/users/", response_model=ResponseMessage, tags=["users"]) async def create_user(user: User): return {"message": "User received"} Generate a TypeScript Client with Tags¶If you generate a client for a FastAPI app using tags, it will normally also separate the client code based ...
routes: async () => { const { data } = await axios.get('https://api.example.com/post...
When using vllm + ChatGLM3 and accessing the openai API, it cannot generate content. The reason is that: In conversation.py, the ChatGLM3 template has a stop_token_ids with ID 2: register_conv_template( Conversation( name="chatglm3", sys...
(task='chat_completion',type='openai',name='gpt-3.5-turbo-0613'),cost=0.000343,extra={'usage': {'prompt_tokens':13,'completion_tokens':18,'total_tokens':31}},message=AssistantMessage(role='assistant',name=None,content='你好!有什么我可以帮助你的吗?',function_call=None,tool_calls=None)...
WebAsyncTask/CompletableFuture class resolution Version 2.4 Support multiple Java files to generate documents Support document tree menu editing (sort, delete) Annotation Required Type supports annotations without field names (javax.validation.constraints.NotNull) Other known issues to fix optimization ...
HTTP/1.1 200 OK Content-Type:application/xml<GenerateSuperResolutionImageResponse><RequestId>4ad5c3ef-5ac4-4e1c-b14f-90d939aa73eb</RequestId><Message>该调用为异步调用,任务已提交成功,请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。</Message></GenerateSuper...
Deno.serve(async (req) => {2 // Extract input string from JSON body3 const { input } = await req.json();4 5 // Generate the embedding from the user input6 const embedding = await session.run(input, {7 mean_pool: true,8 normalize: true,9 });10 11 // Return the embedding12 ...
public async generate({ prompt, content }: { prompt: string; content: string }): Promise<string> { return this.sdk.generate({ prompt, content }) } public async check(): Promise<{ valid: boolean; error: Error | null }> { return this.sdk.check() } 23 changes: 21 additions & 2 de...