Commit graph

124 commits

Author SHA1 Message Date
Xi Yan
d5b1202c83
change schema -> dataset_schema (#442)
# What does this PR do?

- `schema` should not a field w/ pydantic warnings
- change `schema` to `dataset_schema`

<img width="855" alt="image"
src="https://github.com/user-attachments/assets/47cb6bb9-4be0-46a5-8701-24d24e2eaabd">


## Test Plan

```
pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio eval/test_eval.py
```


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.
2024-11-13 10:58:12 -05:00
Ashwin Bharambe
12947ac19e
Kill "remote" providers and fix testing with a remote stack properly (#435)
# What does this PR do?

This PR kills the notion of "pure passthrough" remote providers. You
cannot specify a single provider you must specify a whole distribution
(stack) as remote.

This PR also significantly fixes / upgrades testing infrastructure so
you can now test against a remotely hosted stack server by just doing

```bash
pytest -s -v -m remote  test_agents.py \
  --inference-model=Llama3.1-8B-Instruct --safety-shield=Llama-Guard-3-1B \
  --env REMOTE_STACK_URL=http://localhost:5001
```

Also fixed `test_agents_persistence.py` (which was broken) and killed
some deprecated testing functions.

## Test Plan

All the tests.
2024-11-12 21:51:29 -08:00
Dinesh Yeduguru
fdff24e77a
Inference to use provider resource id to register and validate (#428)
This PR changes the way model id gets translated to the final model name
that gets passed through the provider.
Major changes include:
1) Providers are responsible for registering an object and as part of
the registration returning the object with the correct provider specific
name of the model provider_resource_id
2) To help with the common look ups different names a new ModelLookup
class is created.



Tested all inference providers including together, fireworks, vllm,
ollama, meta reference and bedrock
2024-11-12 20:02:00 -08:00
Ashwin Bharambe
983d6ce2df
Remove the "ShieldType" concept (#430)
# What does this PR do?

This PR kills the notion of "ShieldType". The impetus for this is the
realization:

> Why is keyword llama-guard appearing so many times everywhere,
sometimes with hyphens, sometimes with underscores?

Now that we have a notion of "provider specific resource identifiers"
and "user specific aliases" for those and the fact that this works with
models ("Llama3.1-8B-Instruct" <> "fireworks/llama-3pv1-..."), we can
follow the same rules for Shields.

So each Safety provider can make up a notion of identifiers it has
registered. This already happens with Bedrock correctly. We just
generalize it for Llama Guard, Prompt Guard, etc.

For Llama Guard, we further simplify by just adopting the underlying
model name itself as the identifier! No confusion necessary.

While doing this, I noticed a bug in our DistributionRegistry where we
weren't scoping identifiers by type. Fixed.

## Feature/Issue validation/testing/test plan

Ran (inference, safety, memory, agents) tests with ollama and fireworks
providers.
2024-11-12 12:37:24 -08:00
Ashwin Bharambe
09269e2a44
Enable sane naming of registered objects with defaults (#429)
# What does this PR do? 

This is a follow-up to #425. That PR allows for specifying models in the
registry, but each entry needs to look like:

```yaml
- identifier: ...
  provider_id: ...
  provider_resource_identifier: ...
```

This is headache-inducing.

The current PR makes this situation better by adopting the shape of our
APIs. Namely, we need the user to only specify `model-id`. The rest
should be optional and figured out by the Stack. You can always override
it.

Here's what example `ollama` "full stack" registry looks like (we still
need to kill or simplify shield_type crap):
```yaml
models:
- model_id: Llama3.2-3B-Instruct
- model_id: Llama-Guard-3-1B
shields:
- shield_id: llama_guard
  shield_type: llama_guard
```

## Test Plan

See test plan for #425. Re-ran it.
2024-11-12 11:18:05 -08:00
Ashwin Bharambe
d9d271a684
Allow specifying resources in StackRunConfig (#425)
# What does this PR do? 

This PR brings back the facility to not force registration of resources
onto the user. This is not just annoying but actually not feasible
sometimes. For example, you may have a Stack which boots up with private
providers for inference for models A and B. There is no way for the user
to actually know which model is being served by these providers now (to
be able to register it.)

How will this avoid the users needing to do registration? In a follow-up
diff, I will make sure I update the sample run.yaml files so they list
the models served by the distributions explicitly. So when users do
`llama stack build --template <...>` and run it, their distributions
come up with the right set of models they expect.

For self-hosted distributions, it also allows us to have a place to
explicit list the models that need to be served to make the "complete"
stack (including safety, e.g.)

## Test Plan

Started ollama locally with two lightweight models: Llama3.2-3B-Instruct
and Llama-Guard-3-1B.

Updated all the tests including agents. Here's the tests I ran so far:

```bash
pytest -s -v -m "fireworks and llama_3b" test_text_inference.py::TestInference \
  --env FIREWORKS_API_KEY=...

pytest -s -v -m "ollama and llama_3b" test_text_inference.py::TestInference 

pytest -s -v -m ollama test_safety.py

pytest -s -v -m faiss test_memory.py

pytest -s -v -m ollama  test_agents.py \
  --inference-model=Llama3.2-3B-Instruct --safety-model=Llama-Guard-3-1B
```

Found a few bugs here and there pre-existing that these test runs fixed.
2024-11-12 10:58:49 -08:00
Dinesh Yeduguru
8035fa1869 versioned persistence key prefixes 2024-11-12 10:30:39 -08:00
Xi Yan
84c6fbbd93
fix tests after registration migration & rename meta-reference -> basic / llm_as_judge provider (#424)
* rename meta-reference -> basic

* config rename

* impl rename

* rename llm_as_judge, fix test

* util

* rebase

* naming fix
2024-11-12 10:35:44 -05:00
Dinesh Yeduguru
0a3b3d5fb6
migrate scoring fns to resource (#422)
* fix after rebase

* remove print

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-11 17:28:48 -08:00
Dinesh Yeduguru
3802edfc50
migrate evals to resource (#421)
* migrate evals to resource

* remove listing of providers's evals

* change the order of params in register

* fix after rebase

* linter fix

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-11 17:24:03 -08:00
Dinesh Yeduguru
b95cb5308f
migrate dataset to resource (#420)
* migrate dataset to resource

* remove auto discovery

* remove listing of providers's datasets

* fix after rebase

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-11 17:14:41 -08:00
Dinesh Yeduguru
38cce97597
migrate memory banks to Resource and new registration (#411)
* migrate memory banks to Resource and new registration

* address feedback

* address feedback

* fix tests

* pgvector fix

* pgvector fix v2

* remove auto discovery

* change register signature to make params required

* update client

* client fix

* use annotated union to parse

* remove base MemoryBank inheritence

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-11 17:10:44 -08:00
Xi Yan
b4416b72fd
Folder restructure for evals/datasets/scoring (#419)
* rename evals related stuff

* fix datasetio

* fix scoring test

* localfs -> LocalFS

* refactor scoring

* refactor scoring

* remove 8b_correctness scoring_fn from tests

* tests w/ eval params

* scoring fn braintrust fixture

* import
2024-11-11 17:35:40 -05:00
Xi Yan
2b7d70ba86
[Evals API][11/n] huggingface dataset provider + mmlu scoring fn (#392)
* wip

* scoring fn api

* eval api

* eval task

* evaluate api update

* pre commit

* unwrap context -> config

* config field doc

* typo

* naming fix

* separate benchmark / app eval

* api name

* rename

* wip tests

* wip

* datasetio test

* delete unused

* fixture

* scoring resolve

* fix scoring register

* scoring test pass

* score batch

* scoring fix

* fix eval

* test eval works

* huggingface provider

* datasetdef files

* mmlu scoring fn

* test wip

* remove type ignore

* api refactor

* add default task_eval_id for routing

* add eval_id for jobs

* remove type ignore

* huggingface provider

* wip huggingface register

* only keep 1 run_eval

* fix optional

* register task required

* register task required

* delete old tests

* fix

* mmlu loose

* refactor

* msg

* fix tests

* move benchmark task def to file

* msg

* gen openapi

* openapi gen

* move dataset to hf llamastack repo

* remove todo

* refactor

* add register model to unit test

* rename

* register to client

* delete preregistered dataset/eval task

* comments

* huggingface -> remote adapter

* openapi gen
2024-11-11 14:49:50 -05:00
Ashwin Bharambe
c1f7ba3aed
Split safety into (llama-guard, prompt-guard, code-scanner) (#400)
Splits the meta-reference safety implementation into three distinct providers:

- inline::llama-guard
- inline::prompt-guard
- inline::code-scanner

Note that this PR is a backward incompatible change to the llama stack server. I have added deprecation_error field to ProviderSpec -- the server reads it and immediately barfs. This is used to direct the user with a specific message on what action to perform. An automagical "config upgrade" is a bit too much work to implement right now :/

(Note that we will be gradually prefixing all inline providers with inline:: -- I am only doing this for this set of new providers because otherwise existing configuration files will break even more badly.)
2024-11-11 09:29:18 -08:00
Xi Yan
ba82021d4b precommit 2024-11-08 17:58:58 -08:00
Xi Yan
1ebf6447c5 add missing inits 2024-11-08 17:54:24 -08:00
Xi Yan
89c3129f0b add missing inits 2024-11-08 17:49:29 -08:00
Dinesh Yeduguru
ec644d3418
migrate model to Resource and new registration signature (#410)
* resource oriented object design for models

* add back llama_model field

* working tests

* register singature fix

* address feedback

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-08 16:12:57 -08:00
Dinesh Yeduguru
d800a16acd
Resource oriented design for shields (#399)
* init

* working bedrock tests

* bedrock test for inference fixes

* use env vars for bedrock guardrail vars

* add register in meta reference

* use correct shield impl in meta ref

* dont add together fixture

* right naming

* minor updates

* improved registration flow

* address feedback

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
2024-11-08 12:16:11 -08:00
Xi Yan
6192bf43a4
[Evals API][10/n] API updates for EvalTaskDef + new test migration (#379)
* wip

* scoring fn api

* eval api

* eval task

* evaluate api update

* pre commit

* unwrap context -> config

* config field doc

* typo

* naming fix

* separate benchmark / app eval

* api name

* rename

* wip tests

* wip

* datasetio test

* delete unused

* fixture

* scoring resolve

* fix scoring register

* scoring test pass

* score batch

* scoring fix

* fix eval

* test eval works

* remove type ignore

* api refactor

* add default task_eval_id for routing

* add eval_id for jobs

* remove type ignore

* only keep 1 run_eval

* fix optional

* register task required

* register task required

* delete old tests

* delete old tests

* fixture return impl
2024-11-07 21:24:12 -08:00
Ashwin Bharambe
694c142b89
Add provider deprecation support; change directory structure (#397)
* Add provider deprecation support; change directory structure

* fix a couple dangling imports

* move the meta_reference safety dir also
2024-11-07 13:04:53 -08:00
Xi Yan
8fc2d212a2
fix safety signature mismatch (#388)
* fix safety sig

* shield_type->identifier
2024-11-06 16:30:47 -08:00
Ashwin Bharambe
994732e2e0
impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00