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22 days ago
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Deploy to HF Spaces
Chandrakiran-088501103
24 days ago
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Route every task to a model automatically and budget AI usage in rupees
Chandra KiranUnverified signatureapi/routing.py rates each request's complexity and picks the cheapest capable tier from a model registry (DeepSeek V4 Flash, DeepSeek V4 Pro, GLM-5.3 on OpenRouter by default; MODEL_REGISTRY overrides). A draft that fails its checks is repaired one tier up, so hard tasks reach the strongest model on their own. Scenes also get a simulator choice among what can run them (MuJoCo, MuJoCo Warp, Isaac Sim), with the reason. api/budget.py keeps a ledger of every model call: OpenRouter's reported cost (else list prices), converted to rupees, per tester (125 each) and for the pool (500). OpenRouter-exempt calls are recorded but not deducted. Tasks are refused when the allocation or pool can't cover them and need confirmation above CONFIRM_ABOVE_INR. New: POST /feedback (helpful / not helpful + note, stored with routing and result context) and GET /me/usage (team view for ADMIN_TESTERS).5b063c2
25 days ago
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Let ROS 2 code use its own model (CODE_LLM_MODEL)
Chandra KiranUnverified signatureLLM_MODEL stays the scene model; CODE_LLM_MODEL (default: the same) is what OpenCode and the direct code backend use, through the same OpenRouter key. /health shows both.4508afe
26 days ago
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Use GLM-5.3 via OpenRouter and run simulations on Modal (RunPod optional)
Chandra KiranUnverified signature- LLM settings are provider-neutral (LLM_API_KEY, LLM_BASE_URL, LLM_MODEL), defaulting to z-ai/glm-5.3 on OpenRouter; OpenCode gets the same endpoint as its only provider. - SIM_BACKEND selects modal (default) or runpod. worker/modal_app.py deploys the worker on a T4 (or CPU with MODAL_GPU=none) with a container cap and time limit. - Runs record backend + job_id; GPU time falls back to the worker's own timing on Modal. Existing run tables are migrated.da839c2
27 days ago
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Add Stage 1 MuJoCo scene generation API
Chandra KiranUnverified signature- RAG index (Chroma) built from MuJoCo docs, the MJCF schema and the Menagerie Unitree G1 model - POST /simulate/generate: grounded prompt (robot facts read from the model, Menagerie example, schema rows, retrieved docs), GLM-4.6, sandboxed MuJoCo load + 2 s step test, repair loop on failure - Hashed API-key allowlist with add/list/revoke CLI - SQLite log of every generation, tester feedback endpoint, review CLI - Five MuJoCo test scenarios with structural checks and a runnerf850954