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API Access

You can access search results via JSON API by adding format=json to your query:

https://codesearch.val.run/$%7Bart_info.art.src%7D?q=api&page=982&format=json

For typeahead suggestions, use the /typeahead endpoint:

https://codesearch.val.run/typeahead?q=api

Returns an array of strings in format "username" or "username/projectName"

Found 11798 results for "api"(1342ms)

hnSearchByDatemain.tsx1 match

@stevekrouseUpdated 1 year ago
2
3export let hnSearchByDate = (params) => fetchJSON(
4 `http://hn.algolia.com/api/v1/search_by_date?${new URLSearchParams(params)}`
5)
15 const llm = new ChatOpenAI({
16 modelName: "gpt-3.5-turbo",
17 openAIApiKey: process.env.openai,
18 temperature: 0,
19 });

runValAPIExmain.tsx2 matches

@stevekrouseUpdated 1 year ago
1import { runValAPI } from "https://esm.town/v/stevekrouse/runValAPI";
2
3export const runValAPIEx = runValAPI("@patrickjm.gpt3", {
4 prompt: "write me a limerick about sandboxing javascript",
5});

valtownAPIExamplesmain.tsx5 matches

@stevekrouseUpdated 1 year ago
1import { fetchJSON } from "https://esm.town/v/stevekrouse/fetchJSON";
2
3export let valtownAPIExamples = [
4 "https://api.val.town/v1/alias/stevekrouse",
5 "https://api.val.town/v1/users/a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18",
6 "https://api.val.town/v1/alias/stevekrouse/fetchJSON",
7 "https://api.val.town/v1/vals/18b54b4e-779a-4c56-8ee6-4c75af7e55f0",
8].map(fetchJSON);

getMessagesmain.tsx1 match

@stevekrouseUpdated 1 year ago
3
4export let getMessages = (channelId) => fetchJSON(
5 `https://discord.com/api/channels/${channelId}/messages`, {
6 headers: {
7 "Authorization": `Bot ${discordBotToken}`,

safeCountermain.tsx5 matches

@stevekrouseUpdated 1 year ago
1import { runValAPI } from "https://esm.town/v/stevekrouse/runValAPI";
2import { safeCounter as safeCounter2 } from "https://esm.town/v/stevekrouse/safeCounter";
3import { sleep } from "https://esm.town/v/stevekrouse/sleep";
22 // value of it, now that I know it can't be updated until I release this lock.
23 //
24 // Note 2: I use `@stevekrouse.runValAPI` here instead of `api` (used below)
25 // because `api` only works on funcitons and @stevekrouse.threadsafeStateEx
26 // is a JSON val.
27 let { state } = await runValAPI(
28 "@stevekrouse.threadsafeStateEx",
29 );
30 // 5. Update the state
31 //
32 // Note 3: I update the state via an API call here to ensure that the state
33 // is fully updated *before* I release the lock. If I were to update the state
34 // directly in this val, `@stevekrouse.updateThreadsafeStateEx = `, those

myApimain.tsx1 match

@fsawaktaUpdated 1 year ago
1export function myApi(name) {
2 return "hi " + name;
3}

myApimain.tsx1 match

@baiheinetUpdated 1 year ago
1export function myApi(name) {
2 return "hi " + name;
3}

runAgentmain.tsx5 matches

@jacoblee93Updated 1 year ago
6 const { ChatOpenAI } = await import("npm:langchain/chat_models/openai");
7 const { ChatAnthropic } = await import("npm:langchain/chat_models/anthropic");
8 const { DynamicTool, Tool, SerpAPI } = await import("npm:langchain/tools");
9 const { initializeAgentExecutorWithOptions } = await import(
10 "npm:langchain/agents"
19 );
20 const model = new ChatOpenAI({
21 openAIApiKey: process.env.OPENAI_API_KEY,
22 modelName: "gpt-4",
23 maxTokens: 2048,
25 const anthropicModel = new ChatAnthropic({
26 modelName: "claude-v1",
27 anthropicApiKey: process.env.ANTHROPIC_API_KEY,
28 temperature: 0,
29 });
73 },
74 }),
75 new SerpAPI(process.env.SERPAPI_API_KEY, {
76 location: "Austin,Texas,United States",
77 hl: "en",
100💬 Google Vertex AI chat model + embeddings
101🔎 Google Custom Search tool
102⛓️ API chain: make API calls from docs
103
104Read on 🧵

myApimain.tsx1 match

@devnUpdated 1 year ago
1export function myApi(name) {
2 return "hi " + name;
3}

social_data_api_project3 file matches

@tsuchi_yaUpdated 4 hours ago

new-val-api-21 file match

@shouserUpdated 14 hours ago
This is an example of using the API to create a val.
apiv1
papimark21