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Enterprise & Industry2 min read

DevRev uses GPT-6.1 Sol to power autonomous support agents

DevRev has integrated OpenAI's GPT-6.1 Sol and GPT-6 Astra models into its Computer and Operator agents to handle complex customer and employee requests. Ahmed Bashir, DevRev's CTO, states that these models provide the necessary reasoning and reliability while maintaining the low latency and cost required for real-time self-service. The agents are designed to reason across live data, with…

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Key points

  • DevRev integrates GPT-6.1 Sol and GPT-6 Astra into Computer and Operator agents for autonomous support.
  • DevRev engineers have fully adopted OpenAI Codex, dropping Cursor licenses after organic exploration.
  • GPT-6.1 Sol performs well in DevRev's Enterprise-Bench for multi-system, role-based data scenarios.

DevRev tests these models using its Enterprise-Bench benchmark, which evaluates performance in scenarios involving multiple data versions, disparate systems, and role-based access controls. Bashir reports that GPT-6.1 Sol performs well in these evaluations, striking a balance between nuanced understanding and speed. The company aims to expand Operator's capabilities to handle longer, more demanding tasks, such as plan upgrades and refunds, while keeping actions permissioned and traceable.

Internally, DevRev engineers have fully adopted OpenAI's Codex for coding, dropping their Cursor licenses. Bashir notes that developers chose Codex organically because it offers the best experience. Sales engineers also use GPT-6 Astra to create demos for international conferences. The company is exploring OpenAI's Decisions API and Ultrafast features to help workflows complete in seconds rather than minutes, allowing builders to define logic conversationally.

Model pages: GPT-6.1 Sol → · GPT-6 Astra →

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DevRev delivers autonomous self-service with GPT-6.1 Sol

OpenAI · 4 November 2026

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This text was published by OpenAI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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