v0.6.0

Highlights

• Added the Python Runner API for packaging local Python projects and exposing functions, classes, or object instances as Flame services.
• Added flmrun, a built-in Runner template application used by Runner-managed services.
• Fixed Runner package downloads for multi-object-cache deployments by preserving the cache endpoint returned from package upload.
• Reworked the Python SDK around synchronous client APIs, object-cache helpers, service sessions, and the flamepy.runner module.
• Simplified the Rust SDK with top-level connection/session helpers, typed task messages, host-service helpers, object-cache helpers, and service macros.
• Added a standalone object cache with versioned object references, pluggable storage, upload/download support, incremental object fetch, and fast paths for tabular/numpy/Arrow data.
• Added flmadm installation profiles and support for installing Flame components, SDKs, examples, and multiple Python SDK versions.
• Added flmctl deploy and object helper commands for application deployment and object-cache workflows.
• Added a Helm chart and Kind-based Kubernetes E2E workflow for static Flame installs on Kubernetes.
• Updated Helm/Kubernetes defaults for filesystem session-manager storage and the drf/gang policy set.
• Fixed Flame CLI version metadata so binaries report their package version.
• Added scheduler policy work for priority scheduling, GPU-aware DRF, dynamic policy configuration, gang/batch flows, and resource requirements.
• Added session/runtime reliability improvements including TLS, executor recovery, session bind failure recovery, task watching, node/executor persistence, and notifier-based wakeups.
• Expanded system, E2E, Runner, cache, Python SDK, Rust SDK, and storage test coverage.

Upgrade Notes

• Python SDK packaging is now versioned as 0.6.0, requires Python 3.9 or newer, and advertises Python 3.9 through 3.12.
• Runner imports should use flamepy.runner; older flamepy.rl naming was replaced.
• flmadm install now requires an explicit profile flag such as --all, --control-plane, --worker, --cache, or --client.
• Cluster policy configuration now supports multiple policies through the policies list.
• The Helm chart defaults now configure session-manager storage as fs:///var/lib/flame/session and enable only the drf and gang policies.
• Object cache references are versioned. Clients can use get_object, update_object, patch_object, upload_object, and download_object instead of passing raw object payloads through sessions.
• flmexec supports explicit runtime selection for scripts, including Python runtime selection through FLAME_PYTHON_VERSION. Its default Python runtime policy is owned by flmexec rather than the Rust SDK.

Python SDK And Runner

• Added flamepy.Runner and flamepy.runner to package local projects and run Python execution objects remotely (#298, #341, #342).
• Added Runner helpers for waiting, selecting, resolving object references, and fetching result objects (#300, #363).
• Added explicit Runner defaults for stateless functions/classes and stateful object instances (#474).
• Fixed Runner packaging for ad hoc scripts and dependency metadata generation (#471).
• Fixed Runner package URL generation to use the returned object-cache endpoint, so executor-manager downloads packages from the cache pod that stored them in multi-cache deployments (#482).
• Added support for Runner dependencies and Python-version selection in Runner/flmexec workflows (#468, #469, #473).
• Added flmrun as a built-in application template for Runner services (#285).
• Added Python service-session helpers and renamed the FlamePy agent API to service sessions (#454).
• Added custom session IDs and open_session enhancements for Python clients and Runner services (#351, #353, #354).
• Added Session.list_tasks and task watching improvements for Python clients (#359, #371).
• Aligned flamepy package metadata for the 0.6 release, including __version__, Python 3.9+ tooling targets, and Python 3.12 classifier support (#477).

Rust SDK

• Simplified the flame-rs API with direct helpers for connecting, creating/opening sessions, running typed tasks, and writing services (#456).
• Added typed service macros and typed task payload support through FlameMessage (#456).
• Added Rust object-cache helpers for putting, getting, updating, patching, uploading, downloading, and deleting objects (#427, #430, #456).
• Kept flmexec Python runtime default policy local to flmexec and removed that default from the public Rust SDK surface (#475).
• Fixed Rust SDK logger initialization when RUST_LOG is unset (#343).

Object Cache And Storage

• Added the standalone flame-object-cache service and object-cache client helpers (#244, #321).
• Added common-data/object-cache integration and object references for shared session state (#258, #259, #269, #296).
• Added LRU eviction and per-application cache behavior (#367, #358).
• Added pluggable cache storage backends, object versioning, and a standalone cache binary (#419, #427).
• Added cache upload/download support with multi-scheme downloaders (#430).
• Added incremental object get, native tabular cache path, and fast-path serialization for numpy/Arrow data (#444, #446, #464).
• Added filesystem, HTTP, and none storage engines for session manager and package/cache workflows (#339, #344, #377, #395).

Scheduling And Runtime Management

• Added batch-session support and gang-related E2E coverage (#401, #407).
• Added priority scheduling and dynamic scheduler policy configuration (#428, #432).
• Added GPU-aware DRF scheduling with resource requirements (#434).
• Added resource requirement support in the priority plugin (#442).
• Added configurable scheduling interval and moved executor limits into limits (#373, #396).
• Added application URL support, installer metadata, and application cache-key improvements (#287, #421, #425).

CLI, Installation, And Local Development

• Added flmadm for installation, profile-based component selection, systemd integration, user-local installs, examples, and uninstall flows (#334, #338, #421, #468).
• Added flmctl deploy and object helper commands (#459).
• Added JSON output for session commands and improved CLI display behavior (#215, #439).
• Changed Flame CLI metadata to derive --version output from package versions and use XFLOPS <support@xflops.io> as the author (#488).
• Added Podman support and local development helpers (#212).
• Added Docker, compose, and local system-test workflows for multi-component clusters (#345, #347, #466, #470, #472).

Kubernetes And Helm

• Added charts/flame, a static Helm chart for installing Flame's session manager, executor manager, object cache, client configuration, ServiceAccount, services, persistent volum...

v0.6.0-rc2

What's Changed

• [codex] Backport Python Runner e2e command to release-0.6 by @k82cn in #485
• Backport PR #488 to release-0.6 by @k82cn in #489

Full Changelog: v0.6.0-rc1...v0.6.0-rc2

v0.6.0-rc1

Highlights

• Added the Python Runner API for packaging local Python projects and exposing functions, classes, or object instances as Flame services.
• Added flmrun, a built-in Runner template application used by Runner-managed services.
• Reworked the Python SDK around synchronous client APIs, object-cache helpers, service sessions, and the flamepy.runner module.
• Simplified the Rust SDK with top-level connection/session helpers, typed task messages, host-service helpers, object-cache helpers, and service macros.
• Added a standalone object cache with versioned object references, pluggable storage, upload/download support, incremental object fetch, and fast paths for tabular/numpy/Arrow data.
• Added flmadm installation profiles and support for installing Flame components, SDKs, examples, and multiple Python SDK versions.
• Added flmctl deploy and object helper commands for application deployment and object-cache workflows.
• Added a Helm chart and Kind-based Kubernetes E2E workflow for static Flame installs on Kubernetes.
• Added scheduler policy work for priority scheduling, GPU-aware DRF, dynamic policy configuration, gang/batch flows, and resource requirements.
• Added session/runtime reliability improvements including TLS, executor recovery, session bind failure recovery, task watching, node/executor persistence, and notifier-based wakeups.
• Expanded system, E2E, Runner, cache, Python SDK, Rust SDK, and storage test coverage.

Upgrade Notes

• Python SDK packaging is now versioned as 0.6.0, requires Python 3.9 or newer, and advertises Python 3.9 through 3.12.
• Runner imports should use flamepy.runner; older flamepy.rl naming was replaced.
• flmadm install now requires an explicit profile flag such as --all, --control-plane, --worker, --cache, or --client.
• Cluster policy configuration now supports multiple policies through the policies list.
• Object cache references are versioned. Clients can use get_object, update_object, patch_object, upload_object, and download_object instead of passing raw object payloads through sessions.
• flmexec supports explicit runtime selection for scripts, including Python runtime selection through FLAME_PYTHON_VERSION. Its default Python runtime policy is owned by flmexec rather than the Rust SDK.

Python SDK And Runner

• Added flamepy.Runner and flamepy.runner to package local projects and run Python execution objects remotely (#298, #341, #342).
• Added Runner helpers for waiting, selecting, resolving object references, and fetching result objects (#300, #363).
• Added explicit Runner defaults for stateless functions/classes and stateful object instances (#474).
• Fixed Runner packaging for ad hoc scripts and dependency metadata generation (#471).
• Added support for Runner dependencies and Python-version selection in Runner/flmexec workflows (#468, #469, #473).
• Added flmrun as a built-in application template for Runner services (#285).
• Added Python service-session helpers and renamed the FlamePy agent API to service sessions (#454).
• Added custom session IDs and open_session enhancements for Python clients and Runner services (#351, #353, #354).
• Added Session.list_tasks and task watching improvements for Python clients (#359, #371).
• Aligned flamepy package metadata for the 0.6 release, including __version__, Python 3.9+ tooling targets, and Python 3.12 classifier support (#477).

Rust SDK

• Simplified the flame-rs API with direct helpers for connecting, creating/opening sessions, running typed tasks, and writing services (#456).
• Added typed service macros and typed task payload support through FlameMessage (#456).
• Added Rust object-cache helpers for putting, getting, updating, patching, uploading, downloading, and deleting objects (#427, #430, #456).
• Kept flmexec Python runtime default policy local to flmexec and removed that default from the public Rust SDK surface (#475).
• Fixed Rust SDK logger initialization when RUST_LOG is unset (#343).

Object Cache And Storage

• Added the standalone flame-object-cache service and object-cache client helpers (#244, #321).
• Added common-data/object-cache integration and object references for shared session state (#258, #259, #269, #296).
• Added LRU eviction and per-application cache behavior (#367, #358).
• Added pluggable cache storage backends, object versioning, and a standalone cache binary (#419, #427).
• Added cache upload/download support with multi-scheme downloaders (#430).
• Added incremental object get, native tabular cache path, and fast-path serialization for numpy/Arrow data (#444, #446, #464).
• Added filesystem, HTTP, and none storage engines for session manager and package/cache workflows (#339, #344, #377, #395).

Scheduling And Runtime Management

• Added batch-session support and gang-related E2E coverage (#401, #407).
• Added priority scheduling and dynamic scheduler policy configuration (#428, #432).
• Added GPU-aware DRF scheduling with resource requirements (#434).
• Added resource requirement support in the priority plugin (#442).
• Added configurable scheduling interval and moved executor limits into limits (#373, #396).
• Added application URL support, installer metadata, and application cache-key improvements (#287, #421, #425).

CLI, Installation, And Local Development

• Added flmadm for installation, profile-based component selection, systemd integration, user-local installs, examples, and uninstall flows (#334, #338, #421, #468).
• Added flmctl deploy and object helper commands (#459).
• Added JSON output for session commands and improved CLI display behavior (#215, #439).
• Added Podman support and local development helpers (#212).
• Added Docker, compose, and local system-test workflows for multi-component clusters (#345, #347, #466, #470, #472).

Kubernetes And Helm

• Added charts/flame, a static Helm chart for installing Flame's session manager, executor manager, object cache, client configuration, ServiceAccount, services, persistent volumes, and Helm test resources (#479).
• Added chart values and schema coverage for images, service ports, storage, runtime volumes, TLS Secret mounting, client config, component enablement, and static object-cache replica counts (#479).
• Added a Kind-based Kubernetes E2E workflow that builds Flame images, installs the Helm chart, runs Helm tests, and verifies flmctl, flmping, and the Python Pi Runner example from an in-cluster console pod (#479).

Reliability, Recovery, And Observability

• Added TLS support and certificate-generation fixes (#388, #411).
• Added Flame recovery flows and fixed executor state recovery behavior ([#386](https://g...

v0.5.0

What's Changed

• Bump up the versions. by @k82cn in #134
• New flmexec arch. by @k82cn in #135
• Run py script by flmexec by @k82cn in #136
• chore: add sdk go for mcp. by @k82cn in #137
• fix: update readme for elastic workload by @k82cn in #138
• fix: retry FEM in CI. by @k82cn in #139
• chore: add UT about tasks for Go SDK. by @k82cn in #140
• chore: add flame mcp for agent. by @k82cn in #143
• chore: add UT to run multi tasks in one session. by @k82cn in #144
• chore: replace TPC with Unix socket for shim/svc. by @k82cn in #147
• chore: add python sdk and Agent example. by @k82cn in #146
• chore: create session in py. by @k82cn in #148
• chore: add openai agent example. by @k82cn in #149
• chore: add AI Agent blog. by @k82cn in #150
• chrose: run LLM code via Flame. by @k82cn in #151
• docs: add run LLM script blog. by @k82cn in #153
• fix: rm stdio/shell shim. by @k82cn in #154
• chore: add delay_release & max_instances. by @k82cn in #156
• chore: add description & labels to application. by @k82cn in #157
• chore: add executor manager. by @k82cn in #159
• fix: update flame arch. by @k82cn in #160
• fix: update flame arch. by @k82cn in #161
• chore: add input, output and common_data schema to application. by @k82cn in #163
• fix: validate schema of input/output/common_data. by @k82cn in #164
• Update to flamepy by @k82cn in #165
• Add py e2e. by @k82cn in #166
• fix: update fsi socket path. by @k82cn in #167
• chore: add FlameInstance. by @k82cn in #169
• fix: fix empty schema error. by @k82cn in #170
• chore: add langchain example. by @k82cn in #171
• chore: add spider example. by @k82cn in #172
• chore: rename shims. by @k82cn in #173
• chore: add e2e framework. by @k82cn in #174
• chore: add test application e2e. by @k82cn in #175
• fix: fix unregister app issue. by @k82cn in #176
• fix: if session closed, did not launch task. by @k82cn in #177
• fix: remove Go deps. by @k82cn in #178
• chore: add e2e app. by @k82cn in #179
• chore: add multi-ssn for langchain. by @k82cn in #180
• chore: add cri-rs for cri shim. by @k82cn in #181
• chore: add update application. by @k82cn in #182
• fix: provide more error message. by @k82cn in #183
• chore: replace log/env_logger with tracing. by @k82cn in #184
• chore: return error/exception to client. by @k82cn in #185
• chore: add events for ssn/tasks. by @k82cn in #186
• fix: enhance e2e ci. by @k82cn in #187
• fix: enhance multi-task e2e. by @k82cn in #188
• fix: enable benchmark in e2e. by @k82cn in #189
• fix: update flame version. by @k82cn in #190
• fix: update version to 0.5.0 by @k82cn in #191
• fix: update quick start in readme. by @k82cn in #192
• chore: add crawler example. by @k82cn in #193
• chore: enhance flmping for debug. by @k82cn in #194
• Fix action errors by @k82cn in #195
• docs: minor grammar fix by @Monokaix in #196
• fix: killpg for instances. by @k82cn in #197
• fix: disable shuffle/backfill actions. by @k82cn in #198
• fix: update deserved by total slots. by @k82cn in #199
• chore: add SRA example. by @k82cn in #200
• chore: add list executor to flmctl. by @k82cn in #201
• Shuffle action by @k82cn in #202
• chore: update sqlite version. by @k82cn in #203
• chore: add dedicated thread in fsm. by @k82cn in #204
• fix: load applications. by @k82cn in #205
• fix: enhance ptr struct. by @k82cn in #206
• chore: add version for app/ssn/task. by @k82cn in #207
• fix: avoid over preemption. by @k82cn in #208

New Contributors

• @Monokaix made their first contribution in #196

Full Changelog: v0.4.0...v0.5.0

v0.4.0

• #24 Add more shims, e.g. gRPC, Rest (@k82cn)
• #83 Enhance flmexec to execute command (@k82cn)
• #84 Enhance Ptr usage in Flame (@k82cn)
• #81 Add Application management to simplify the configuration (@k82cn)
• #64 Replace supervisord with minikube in CI (@k82cn)

v0.3.0

• #16 Support HA for flame (@k82cn)
• #70 Add example about "multiply matrics" (@k82cn)
• #73 Add common data into SessionContext (@k82cn)
• #72 Add WASM shim (@k82cn)
• #63 Replace supervisord with skaffod/minikube (@k82cn)
• #52 Add task_id & session_id in stdio_shim (@k82cn)
• #20 Add python client (@k82cn)
• #57 Update flmping with flame rust client (@k82cn)

v0.2.0

This is the init version of Flame, it provides basic features by following Issues/MRs.

• #33: Add more integration test (@k82cn)
• #32: The output of flmctl list should be ordered (@k82cn)
• #34: Create multiple sessions (@k82cn)
• #30: Remove rpc model dependency from flame-client (@k82cn)
• #23: Add watch_task gRPC (@k82cn)
• #9: Add CI for Flame (@k82cn)
• #22: Support resource share between multiple sessions. (@k82cn)
• #12: Add Monte-Carlo Pi example (@k82cn)
• #14: Filter executors based on session spec in scheduler (@k82cn)
• #7: Fix 'cargo clippy' complain (@k82cn)
• #21: Replace String by Bytes for TaskOutput/TaskInput (@k82cn)
• #10: Move all APIs into common::apis mod. (@k82cn)
• #11: Support TaskOutput (@k82cn)
• #13: Build flame-client for the demo (@k82cn)
• #8: Add stdio_shim (@k82cn)