v0.0.2

What's Changed

• feat: k8s worker manager by @ShubyM in #123
• Full parameter fine-tuning sampler sub-system by @droot in #129
• feat: llmd snapshot agent integration by @ShubyM in #132
• fixes: minor fixes by @droot in #134
• refactor(fft): rename internal snapshot-agent to accel-timeslicer and automate E2E worker cleanup by @droot in #135
• feat(fft): structured model metadata and time-slicer env cleanup by @droot in #136
• Feat/fft multi gpu fsdp by @droot in #137
• docs(fft): add comprehensive FFT architecture report (fft.md) by @droot in #138
• docs(fft): consolidate FFT architecture and sampler documentation int… by @droot in #139
• feat: implement 3-phase batched async DMA offloading and proactive ch… by @droot in #140
• Feat: add Gemma 4 and Qwen 4B RL e2e training support and Redis conne… by @droot in #141
• feat: implement non-blocking DRAM checkpoint saving, buffer offloading by @droot in #142
• feat(timeslicer): implement configurable LRS/FIFO anti-platoon priority selector by @droot in #143
• feat(k8s): add minimal client Dockerfile and K8s Job runner for E2E testing by @droot in #145
• Implement Delta Snapshot Weight Synchronization & Vectorized Host-CPU Diffing Engine by @droot in #147
• FFT fixes and migrate to vllm v0.25.1 by @droot in #154
• fix(ci): pin GitHub Action SHAs and enforce permissions to satisfy zizmor by @droot in #165
• RL workload scheduler by @droot in #170
• fix: weight-sync and sizing fixes for FFT by @aishukamal in #187
• chore: pin the timeslice client and adopt its 0.2.x API by @aishukamal in #195
• feat: make fft mergable by @ShubyM in #201
• Revert "feat: make fft mergable" by @ShubyM in #203
• Fft mergable by @ShubyM in #204
• Support dev loop on kind clusters by @droot in #205
• Fix DRA claim scheduling, size FFT by model, cut worker startup cost by @droot in #206
• chore(fft): deploy the published llm-d Snapshot Agent image instead of building our own by @hodaaaaaaaaaa in #207
• Point the kind snapshot agent at the node's own driver root by @hodaaaaaaaaaa in #209
• chore(fft): track the llm-d v0.1.0 release instead of an image digest by @hodaaaaaaaaaa in #212
• feat(gateway): add the sampler metadata route by @hodaaaaaaaaaa in #213
• Size LoRA memory tier by base-model weights by @droot in #210
• fix(sampler): skip vLLM's multimodal profiling for text models by @hodaaaaaaaaaa in #215
• fix(sampler): route string stop sequences to vLLM's stop argument by @hodaaaaaaaaaa in #214
• feat: standalone GPU claim scheduler (OpenRLWorker) by @ShubyM in #178
• docs: add the FY 2026 roadmap by @droot in #220
• feat: add estimator.py by @ShubyM in #222
• feat: add grouping to timeslicer by @ShubyM in #223
• feat: place FFT workers through the scheduler by @ShubyM in #224
• feat: make binpack aware of worker kind by @ShubyM in #231
• Slim server image by @droot in #232
• Release LoRA scheduling with dedicated GPUs and portable deployment by @ShubyM in #226
• feat: harvey recipe refactor by @ShubyM in #228
• Fix Gemma tokenizer routing and delta name mapping, add a two-family e2e scenario by @droot in #235
• feat: wire heartbeats to teardown sessions by @ShubyM in #234

New Contributors

• @aishukamal made their first contribution in #187

Full Changelog: v0.0.1...v0.0.2