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[Environment]::SetEnvironmentVariable('ANTHROPIC_AUTH_TOKEN','ollama')
[Environment]::SetEnvironmentVariable('ANTHROPIC_API_KEY','')
[Environment]::SetEnvironmentVariable('ANTHROPIC_BASE_URL','http://localhost:11434')

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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

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https://nginx.org/en/docs/http/load_balancing.html
https://www.linode.com/docs/uptime/loadbalancing/use-nginx-as-a-front-end-proxy-and-software-load-balancer/
http://blog.martinfjordvald.com/2011/02/nginx-primer-2-from-apache-to-nginx/
http://www.ramkitech.com/2012/11/tomcat-clustering-series-part-3-session.html
http://www.ramkitech.com/2012/10/tomcat-clustering-series-simple-load.html
https://www.foulquier.info/tutoriaux/mise-en-place-dun-cluster-heartbeat-apache
https://www.nginx.com/resources/admin-guide/content-caching/
https://www.digitalocean.com/community/tutorials/understanding-nginx-http-proxying-load-balancing-buffering-and-caching
https://www.digitalocean.com/community/tutorials/how-to-use-floating-ips-on-digitalocean#how-to-implement-an-ha-setup
https://www.nginx.com/resources/deployment-guides/load-balance-apache-tomcat/

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//Source:http://www.exampledepot.com/egs/javax.servlet/GetReqUrl.html


// http://hostname.com/mywebapp/servlet/MyServlet/a/b;c=123?d=789 

// The most convenient method for reconstructing the original URL is to use
// ServletRequest.getRequestURL(), which returns all but the query string. Adding the
// query string reconstructs an equivalent of the original requesting URL:

// http://hostname.com/mywebapp/servlet/MyServlet/a/b;c=123?d=789

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I don't like coffeescript syntax and I discovered that I'm not alone. 
This project does the work:
http://decaffeinate-project.org/

usage:

# install locally            
$ npm install -g decaffeinate

# convert a single file      

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Twit and other Node libraries don't always quite drop into Meteor's reactive architecture right out of the box. Luckily Meteor makes adapting them super-duper easy with wrapAsync. It was so easy that I naturally tried all the more difficult ways first! Since I didn't find a nice gist or StackOverflow example, please enjoy this one.

In the template -

{{#with pos}}
  {{#if ready}}
    {{> singlePosition data }}

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Attaching to docker_load-balancer_1, docker_hystrix-dashboard_1, docker_web-client_1, docker_gateway_1, docker_business-intelligence-service_1, docker_web-content-service_1, docker_zipkin-web_1, docker_core_1, docker_zipkin_1, docker_logstash_1, docker_kibana_1, docker_configuration_1, docker_business-intelligence-service-postgres-database_1, docker_base_1, docker_web-content-service-postgres-database_1, docker_discovery_1, docker_elasticsearch_1, docker_redis_1, docker_rabbitmq_1, docker_core-postgres-database_1
load-balancer_1                                    | WARNING: no logs are available with the 'gelf' log driver
hystrix-dashboard_1                                | WARNING: no logs are available with the 'gelf' log driver
web-client_1                                       | WARNING: no logs are available with the 'gelf' log driver
gateway_1                                          | WARNING: no logs are available with the 'gelf' log driver
business-intelligenc

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function doGet(e) {
  
  if(typeof e !== 'undefined')
    return ContentService.createTextOutput(JSON.stringify(e.parameter));
  
}
 
function doPost(e) {
  
  if(typeof e !== 'undefined')

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//in client try to use hello js https://adodson.com/hello.js/
function doGet(e) {
  //parameters
  var fileId = e.parameters.fileId;  
  var fileName=e.parameters.name;
  var editor=e.parameters.editor;
  //clone the file 
  var f= DriveApp.getFileById(fileId).makeCopy(fileName);
  f.setSharing(DriveApp.Access.ANYONE, DriveApp.Permission.VIEW);
  f.addEditor(editor);

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var request = require('request'),
	cheerio = require('cheerio'),
	url= 'http://www.paginegialle.it/cinema-programmazione/Roma%20(RM)',
	ua = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_6_8) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2';

var parsePage = function(error, response, body) {
	
	if (error || response.statusCode != 200) {
		console.log(error);
	}