Multi Model Agent Platforms
Enterprise agent control planes that make multiple first-party and partner models available behind common governance, quota, and orchestration layers.
Key points
- Added to AI Watch from [src-196].
- Current managed platforms increasingly separate the agent definition from model gateways, allowing policy-based routing, provider fallback and per-task cost or quality selection [src-251].
- Framework portability is still partial: model APIs may be swappable while tool schemas, safety controls, traces, memory formats and deployment semantics remain vendor-specific [src-252].
- MCP and A2A improve connection portability, but neither protocol eliminates identity, authorisation, semantic-versioning or operational-governance work [src-254].
- A durable multi-model architecture therefore owns its evaluation corpus, tool contracts, provenance model and policy decisions outside any one provider.
Related
Doctolib practitioner evidence
- Doctolib's GenAI gateway provides governed access to multiple compliant model providers, supports switching in minutes and adds provider fallback for resilience [src-236].
- Shared evaluation lets teams compare quality and cost before routing production work [src-236].
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