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Model details

Agentic Chat (GPT-5 Codex)

GitLab Duo Agentic Chat is positioned as a developer-facing assistant built around an agentic workflow loop, where the model can invoke external tools and stream results back into the IDE experience. The underlying integration layer is documented through the gitlab-ai-provider npm package, which describes a TypeScript wrapper that exposes GitLab Duo's chat, agentic workflows, and tool calling through a unified interface backed by the Vercel AI SDK. This design lets developers drive multi-step coding tasks, from code generation to repository operations, without leaving their existing Vercel-based tooling, while authentication options such as OAuth, personal access tokens, and OpenCode auth make it adaptable across GitLab.com and self-hosted deployments.

Beyond plain chat, the offering emphasizes agentic orchestration: the provider supports native tool calling alongside MCP tools for workflows and includes a Duo Workflow Service that runs a server-side agentic loop with WebSocket streaming and dynamic model discovery. This makes the system well suited to interactive, multi-turn engineering work such as refactoring proposals, issue triage, and automated pull-request scaffolding, where the model needs to fetch repository context, call external services, and react to streamed updates in real time. By tying these capabilities to GitLab's AI Gateway and Anthropic- and OpenAI-backed model routing, Agentic Chat is aimed at teams that want an integrated assistant for both everyday code questions and longer-running, tool-driven automation tasks inside the GitLab ecosystem.

GitLab Duoduo-chat-gpt-5-codexgpt-codex

Quick Info

Powered by
Provider
GitLab Duo
Model key
duo-chat-gpt-5-codex
Release date
Jan 22, 2026
Last updated
Jan 22, 2026
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

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