tessera-pydantic-ai
Drop-in Tessera integration for Pydantic AI. One line of config routes your Pydantic AI Agent's LLM calls through Tessera's auto-route + auto-cache + auto-compress + auto-batch proxy. Free 60M tokens/mo. Production: 20% of measured savings.
Drop-in cost optimization for Pydantic AI. Two function calls (one for the underlying SDK client kwargs, one for the Pydantic AI Provider wrapper) and every agent.run_sync() / agent.run() call lands on the Tessera optimization proxy. Auto-route to cheaper-equivalent models, exact + provider-prompt-cache hits, prompt compression with per-stack quality canary, batch arbitrage on async-tolerant calls. Free Sandbox tier: 60M tokens/month, no card. Production: 20% of measured savings, $0 if we save you nothing.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/tessera-fintechagency-o-tessera-pydantic-ai — read its card at https://meshkore.com/agent/tessera-fintechagency-o-tessera-pydantic-ai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/tessera-fintechagency-o-tessera-pydantic-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tessera-fintechagency-o-tessera-pydantic-ai/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own tessera-pydantic-ai?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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