* API Keys passed from Client instead of distro configuration
* delete distribution registry
* Rename the "package" word away
* Introduce a "Router" layer for providers
Some providers need to be factorized and considered as thin routing
layers on top of other providers. Consider two examples:
- The inference API should be a routing layer over inference providers,
routed using the "model" key
- The memory banks API is another instance where various memory bank
types will be provided by independent providers (e.g., a vector store
is served by Chroma while a keyvalue memory can be served by Redis or
PGVector)
This commit introduces a generalized routing layer for this purpose.
* update `apis_to_serve`
* llama_toolchain -> llama_stack
* Codemod from llama_toolchain -> llama_stack
- added providers/registry
- cleaned up api/ subdirectories and moved impls away
- restructured api/api.py
- from llama_stack.apis.<api> import foo should work now
- update imports to do llama_stack.apis.<api>
- update many other imports
- added __init__, fixed some registry imports
- updated registry imports
- create_agentic_system -> create_agent
- AgenticSystem -> Agent
* Moved some stuff out of common/; re-generated OpenAPI spec
* llama-toolchain -> llama-stack (hyphens)
* add control plane API
* add redis adapter + sqlite provider
* move core -> distribution
* Some more toolchain -> stack changes
* small naming shenanigans
* Removing custom tool and agent utilities and moving them client side
* Move control plane to distribution server for now
* Remove control plane from API list
* no codeshield dependency randomly plzzzzz
* Add "fire" as a dependency
* add back event loggers
* stack configure fixes
* use brave instead of bing in the example client
* add init file so it gets packaged
* add init files so it gets packaged
* Update MANIFEST
* bug fix
---------
Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Xi Yan <xiyan@meta.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
* [1/n] migrate inference/chat_completion
* migrate inference/completion
* inference/completion
* inference regenerate openapi spec
* safety api
* migrate agentic system
* migrate apis without implementations
* re-generate openapi spec
* remove hack from openapi generator
* fix inference
* fix inference
* openapi generator rerun
* Simplified Telemetry API and tying it to logger (#57)
* Simplified Telemetry API and tying it to logger
* small update which adds a METRIC type
* move span events one level down into structured log events
---------
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
* fix api to work with openapi generator
* fix agentic calling inference
* together adapter inference
* update inference adapters
---------
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
* add tools to chat completion request
* use templates for generating system prompts
* Moved ToolPromptFormat and jinja templates to llama_models.llama3.api
* <WIP> memory changes
- inlined AgenticSystemInstanceConfig so API feels more ergonomic
- renamed it to AgentConfig, AgentInstance -> Agent
- added a MemoryConfig and `memory` parameter
- added `attachments` to input and `output_attachments` to the response
- some naming changes
* InterleavedTextAttachment -> InterleavedTextMedia, introduce memory tool
* flesh out memory banks API
* agentic loop has a RAG implementation
* faiss provider implementation
* memory client works
* re-work tool definitions, fix FastAPI issues, fix tool regressions
* fix agentic_system utils
* basic RAG seems to work
* small bug fixes for inline attachments
* Refactor custom tool execution utilities
* Bug fix, show memory retrieval steps in EventLogger
* No need for api_key for Remote providers
* add special unicode character ↵ to showcase newlines in model prompt templates
* remove api.endpoints imports
* combine datatypes.py and endpoints.py into api.py
* Attachment / add TTL api
* split batch_inference from inference
* minor import fixes
* use a single impl for ChatFormat.decode_assistant_mesage
* use interleaved_text_media_as_str() utilityt
* Fix api.datatypes imports
* Add blobfile for tiktoken
* Add ToolPromptFormat to ChatFormat.encode_message so that tools are encoded properly
* templates take optional --format={json,function_tag}
* Rag Updates
* Add `api build` subcommand -- WIP
* fix
* build + run image seems to work
* <WIP> adapters
* bunch more work to make adapters work
* api build works for conda now
* ollama remote adapter works
* Several smaller fixes to make adapters work
Also, reorganized the pattern of __init__ inside providers so
configuration can stay lightweight
* llama distribution -> llama stack + containers (WIP)
* All the new CLI for api + stack work
* Make Fireworks and Together into the Adapter format
* Some quick fixes to the CLI behavior to make it consistent
* Updated README phew
* Update cli_reference.md
* llama_toolchain/distribution -> llama_toolchain/core
* Add termcolor
* update paths
* Add a log just for consistency
* chmod +x scripts
* Fix api dependencies not getting added to configuration
* missing import lol
* Delete utils.py; move to agentic system
* Support downloading of URLs for attachments for code interpreter
* Simplify and generalize `llama api build` yay
* Update `llama stack configure` to be very simple also
* Fix stack start
* Allow building an "adhoc" distribution
* Remote `llama api []` subcommands
* Fixes to llama stack commands and update docs
* Update documentation again and add error messages to llama stack start
* llama stack start -> llama stack run
* Change name of build for less confusion
* Add pyopenapi fork to the repository, update RFC assets
* Remove conflicting annotation
* Added a "--raw" option for model template printing
---------
Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
* Add distribution CLI scaffolding
* More progress towards `llama distribution install`
* getting closer to a distro definition, distro install + configure works
* Distribution server now functioning
* read existing configuration, save enums properly
* Remove inference uvicorn server entrypoint and llama inference CLI command
* updated dependency and client model name
* Improved exception handling
* local imports for faster cli
* undo a typo, add a passthrough distribution
* implement full-passthrough in the server
* add safety adapters, configuration handling, server + clients
* cleanup, moving stuff to common, nuke utils
* Add a Path() wrapper at the earliest place
* fixes
* Bring agentic system api to toolchain
Add adapter dependencies and resolve adapters using a topological sort
* refactor to reduce size of `agentic_system`
* move straggler files and fix some important existing bugs
* ApiSurface -> Api
* refactor a method out
* Adapter -> Provider
* Make each inference provider into its own subdirectory
* installation fixes
* Rename Distribution -> DistributionSpec, simplify RemoteProviders
* dict key instead of attr
* update inference config to take model and not model_dir
* Fix passthrough streaming, send headers properly not part of body :facepalm
* update safety to use model sku ids and not model dirs
* Update cli_reference.md
* minor fixes
* add DistributionConfig, fix a bug in model download
* Make install + start scripts do proper configuration automatically
* Update CLI_reference
* Nuke fp8_requirements, fold fbgemm into common requirements
* Update README, add newline between API surface configurations
* Refactor download functionality out of the Command so can be reused
* Add `llama model download` alias for `llama download`
* Show message about checksum file so users can check themselves
* Simpler intro statements
* get ollama working
* Reduce a bunch of dependencies from toolchain
Some improvements to the distribution install script
* Avoid using `conda run` since it buffers everything
* update dependencies and rely on LLAMA_TOOLCHAIN_DIR for dev purposes
* add validation for configuration input
* resort imports
* make optional subclasses default to yes for configuration
* Remove additional_pip_packages; move deps to providers
* for inline make 8b model the default
* Add scripts to MANIFEST
* allow installing from test.pypi.org
* Fix#2 to help with testing packages
* Must install llama-models at that same version first
* fix PIP_ARGS
---------
Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Hardik Shah <hjshah@meta.com>
* fix non-streaming api in inference server
* unit test for inline inference
* Added non-streaming ollama inference impl
* add streaming support for ollama inference with tests
* addressing comments
---------
Co-authored-by: Hardik Shah <hjshah@fb.com>
