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# GitHub Copilot for JetBrains adds improved OpenTelemetry configuration and model management

**[GitHub Changelog](https://daily.dev/sources/github_updates)** · 3 min read · 0 upvotes · 0 comments

## Summary

GitHub Copilot for JetBrains receives a feature update adding OpenTelemetry export configuration for agent workflows, token limit controls (maxInputToken/maxOutputToken) for BYOK and custom endpoints, and the ability to enable/disable built-in Copilot models. MCP servers and custom agents can now be used directly in Claude agent flows. Copilot CLI sessions gain fork support, a /rubber-duck command, and a todo list view. Enterprise users now see AI credit consumption when no user-level budget is configured. UX improvements cover the model/action picker, inline chat layout, session prompt rendering, MCP diagnostics, and URL display in the CLI harness.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.blog/changelog/2026-07-27-github-copilot-for-jetbrains-adds-improvved-opentelemetry-configuration-and-model-management>

## Questions this post answers

### How do I configure OpenTelemetry export for GitHub Copilot agent workflows in JetBrains IDEs?

OpenTelemetry export settings for agent workflows can be configured under Settings > Tools > GitHub Copilot > Chat in the JetBrains plugin. This lets teams align Copilot's agent workflow behavior with their organization's observability requirements, exporting telemetry data for monitoring agent activity within the IDE.

_Teams standardizing observability across AI coding tools follow configuration changes like this on daily.dev._

### Can I set token limits for custom or BYOK models in GitHub Copilot for JetBrains?

Yes, default token limits including maxInputToken and maxOutputToken can now be set for BYOK (bring your own key) and custom endpoints in GitHub Copilot for JetBrains. Administrators can also enable or disable all built-in Copilot models through model-management controls, supporting cost control and model governance requirements.

_Engineers tuning AI assistant costs and model access track configuration options like this on daily.dev._

### Can GitHub Copilot use MCP servers with Claude agent flows in JetBrains?

Yes, MCP servers and custom agents can now be used directly within Claude agent flows in GitHub Copilot for JetBrains. This adds flexibility for specialized tools, custom instructions, and team-specific workflows, and helps teams keep shared agent setups consistent across projects while adapting to repository-specific needs.

_Developers building custom MCP-based agent workflows keep tabs on integrations like this via daily.dev._

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- [Major agentic capabilities improvements in GitHub Copilot for JetBrains IDEs](https://daily.dev/posts/major-agentic-capabilities-improvements-in-github-copilot-for-jetbrains-ides-mtaxg9eh2) · GitHub Changelog · 1 upvotes · 0 comments
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---

Tags: [#github](https://daily.dev/tags/github), [#mcp](https://daily.dev/tags/mcp), [#opentelemetry](https://daily.dev/tags/opentelemetry), [#jetbrains](https://daily.dev/tags/jetbrains)

[View this post on daily.dev](https://daily.dev/posts/github-copilot-for-jetbrains-adds-improved-opentelemetry-configuration-and-model-management-90zl4lj69)

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