Framework agreement for LLM-agent development services
BOAMP estimated value; tax treatment is not stated.
BOAMP — Bulletin officiel des annonces de marchés publics
Overview
City’up seeks an open framework agreement for advising on, designing, developing, integrating, improving, optimizing, securing and industrializing generative-AI solutions, including LLM agents and retrieval-augmented-generation (RAG) chains. The BOAMP notice gives a 12-month term and an estimated value of EUR 180,000; it does not state the tax basis. It requires application, financial-capacity and technical-experience evidence, including comparable services from the previous three years.
Information based on the public notice
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What the buyer needs
Services for generative-AI solutions, particularly LLM agents and retrieval-augmented-generation chains, covering advice, design, development, integration, evolution, optimization, security and industrialization.
- Application letter DC1 and signed self-declaration covering exclusion grounds and compliance with disability-employment rules; professional-liability insurance; DC2 and financial-capacity information; company overview, staffing and qualifications, comparable services from the last three years, and technological, methodological and material resources.
Tender details
- Buyer
- City’up
- Country
France
- Procedure
- Open procedure
- Classification
- Software development services · 72000000 — IT services · BOAMP_DESCRIPTOR 163 · BOAMP_DESCRIPTOR 274
- Notice reference
- 26-96703
- Estimated value
- EUR 180,000; tax basis not specified
- Contract term
- 12 months
- Deadline
- 26 October 2026, 12:00 UTC
What to check in the tender documents
- The notice does not specify the tax treatment of the EUR 180,000 estimated value. No award or supplier outcome is published.
Original notice
Read the original description
Accord cadre Prestations de développement d'agents LLM et services associés
Official source: BOAMP — Bulletin officiel des annonces de marchés publics ↗
https://www.boamp.fr/pages/avis/?q=idweb:26-96703
Source retrieved: 2026-10-13T15:07:53.351570Z