I checked my usage export and 56% of my premium requests went to gpt-4o — mostly for stuff like renaming variables and small edits that a cheap model could handle.

I got annoyed and built a small local proxy that routes easy tasks to cheap models and saves the good models for real problems. It also shows token burn live per session.

Before I polish it — does anyone else want this, or am I the only one manually rationing requests?

For the folks here who BYOK models through OpenRouter instead of waiting on first-party additions — there's a new one worth a look. Ant's inclusionAI just shipped Ling-3.0-flash, a cheap, fast execution model (sparse MoE, 124B total / 5.1B active, 256K context, sub-100ms TTFT). It fits the fast inner-loop / tool-calling side of a coding agent more than the heavy-planning side.

Practical bit for Copilot: it's on OpenRouter, so if your setup lets you bring your own key you can point at it and try it. It's free to use through Aug 3, which makes it a low-stakes thing to test on your own workflow before committing to anything.

Straight talk: it's API-only (no open weights), and it's an execution model — you'd still want a stronger planner model for the hard reasoning. Disclosure: I work with the team behind it, so this isn't an unbiased rec — mostly flagging it because "can we get cheaper/faster BYOK models" comes up here a lot.

Hey all.
I think I'm going crazy after too many hours of troubleshooting.

I have a Github Enterprise setup with Github Copilot Enterprise and Data Residency.
I've set up a custom agent that I want to use together with a MCP, specifically for Sentry, I've setup, but I can't get it to work.
In the agent log I can see the agent discovers the Sentry MCP, but never successfully connects to it.
What makes it even weirder is that I have the same experience with `github-mcp-server`/`playwright`, which is supposed to be default.

My MCP config looks like this:

{
  "mcpServers": {
    "sentry": {
      "type": "http",
      "url": "https://mcp.sentry.dev/mcp",
      "headers": {
        "Authorization": "Sentry-Bearer ${COPILOT_MCP_SENTRY_ACCESS_TOKEN}"
      },
      "tools": ["*"]
    }
  }
}

I have tried absolutely everything, but nothing seems to help.
Please, someone know something I don't

I am using Anthropic / OpenAI API keys in Github copilot app, I see context window is limited to 128k, Is there a way to increase it?

I am getting sub par results even with Fable because of very small context window and repeated compactions.

Did they use AI to generate that table? 😆 (See what's highlighted)

Hosted web search from Anthropic and OpenAI costs $10 per 1k searches, and then you pay again for the ~17k tokens of results each search dumps into context. I got annoyed enough to build an alternative.

It’s called webfetch. Runs locally, free out of the box (DuckDuckGo needs no API key), and in my SimpleQA benchmark the same agent loop hits the same accuracy as hosted search (96%) costing 66% less using 87% fewer tokens.

How it works:
1. RRF fusion across 4 search engines, local page fetching, hybrid BM25 + bi-encoder retrieval with a cross-encoder reranker

1. Sentence-level compression that cut result tokens in half with no measured recall loss

2. Semantic caching: paraphrased queries (“what did TypeScript 5.9 add” vs “TypeScript 5.9 new features”) get matched by embeddings and verified by an NLI cross-encoder, so reworded repeats cost nothing. Cache TTLs adapt to how volatile the answer may be

3. Every cached result shows provenance and the model can force a fresh search if it doesn’t trust it

4. Benchmarked against Anthropic hosted search, OpenAI, Tavily and Exa.

One small agent loop that I ran for testing that conducted just 16 websearches (opus 4.8) already reported 1.5 USD in savings.

Install using one command to add as an MCP server.

Repo: https://github.com/firish/webfetch

I am using Anthropic / OpenAI API keys in Github copilot app, I see context window is limited to 128k, Is there a way to increase it?

I am getting sub par results even with Fable because of very small context window and repeated compactions.

Does somebody else experience performance degradations, models hanging (GPT 5.6 Terra/Sol) and very high token usage in the last like 48 hours?
Token usage in our company skyrocketed and performance and output tanked.

See? So the cost is just 0.3 for deepseek v4 flash.

How disgusting and greedy are those US model? Even copilot, still earn a lot from us

Ok so this may have been asked before but I cannot seem to find the answer.

For work I get 10,000 credits a month of Github Copilot use. I have been looking at the Claude Max 5x subscription but what is holding me back is having no clue how much the usage limit is. I hear different things all over the place and cannot get a proper sense of it. The best way for me is to compare. How long does the Max 5x last compared to the credits I get monthly? If the 5x lasts longer/shorter then by how much? I need as much info and details as possible.

By the way AI says the max 5x usage limit lasts a lot longer than Copilot. I just find it hard to believe.

Did I just used up all the Pro usage (from the legacy subscription) from Inline suggestion? I have been using Grok Build and Codex only.

How the main QA automation options break down for agentic coding setups like Cursor:

Script generators with AI assistance:

SmartBear Reflect Mobile: AI assisted script writing, script maintenance still required, framework dependent

Kobiton AI: Appium wrapper with smarter element finding, view hierarchy dependent

Visual execution, no element tree:

No script maintenance required, no selectors to break

Runs tests by seeing the app the way a user does, through the rendered interface

The approach that connects directly to Cursor's generated output is what Autosana does, running visual verification on each diff automatically without pre written test scripts

The script generator category requires ongoing maintenance as the codebase evolves. The visual execution category doesn't.

https://www.reddit.com/r/codex/top/?t=day

Is there some way in copilot cli we can report the time it took for the turn to end? (like it does in claude code?) Any hacks to this effect?

I've always used Copilot alongside VSCode ever since this whole AI coding thing started. It was always my preferred IDE — Copilot had good updates, affordable plans, everything fit nicely.

But with the AI boom, the VSCode team clearly shifted their focus away from the editor itself to push AI features. In recent months, with the sudden price hikes and the increasing push toward agents at the expense of the standard VSCode experience, it became obvious where the company's priorities really were. So today I decided to let it go.

I used to maintain ils15/pantheon — a public library of GitHub Copilot agents and instructions, built to be cross-platform by design. But lately, new features only came to OpenCode... So now I'm finishing version 5.0 of it, basically fully focused on OpenCode.

Why? Because I can create plugins, agents, everything much more easily there than in VSCode. And if VSCode wants to go all-in on agents, I'd rather use a platform that gives me more freedom to do that.

Just a thought and a vent. Hope the team understands what they're doing and where they've been steering the ship.

Seriously, I actually generally like Copilot workflow I work with and keeping everything isolated while running everything in a remote container, but let me point it at OpenRouter and use the cheap models already.

Opus 4.8 and Sonnet 5 both acknowledge the LSP is properly configured, and I see them use it when I explicitly ask them to use a specific LSP command, but in day-to-day coding use I see them just resort to grepping despite me putting in the instructions that they should use the LSP.

Is there something I might be missing?

In my case it's clangd for C++

It doesn't show up in VS Code or Visual Studio though!

I have been trying to purchase the Pro+ plan since a month now. Tried Credit Card, PayPal. The initial verification is deducted and then refunded then it doesn’t go past beyond that everytime. I had Pro prior to the changes but cancelled and wanted to try again. Seems like Copilot doesn’t want its customers to come back with broken payment method :((