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13 commits

Author SHA1 Message Date
Ashwin Bharambe
63e6acd0c3
feat: add (openai, anthropic, gemini) providers via litellm (#1267)
# What does this PR do?

This PR introduces more non-llama model support to llama stack.
Providers introduced: openai, anthropic and gemini. All of these
providers use essentially the same piece of code -- the implementation
works via the `litellm` library.

We will expose only specific models for providers we enable making sure
they all work well and pass tests. This setup (instead of automatically
enabling _all_ providers and models allowed by LiteLLM) ensures we can
also perform any needed prompt tuning on a per-model basis as needed
(just like we do it for llama models.)

## Test Plan

```bash
#!/bin/bash

args=("$@")
for model in openai/gpt-4o anthropic/claude-3-5-sonnet-latest gemini/gemini-1.5-flash; do
    LLAMA_STACK_CONFIG=dev pytest -s -v tests/client-sdk/inference/test_text_inference.py \
        --embedding-model=all-MiniLM-L6-v2 \
        --vision-inference-model="" \
        --inference-model=$model "${args[@]}"
done
```
2025-02-25 22:07:33 -08:00
LESSuseLESS
3a31611486
feat: completing text /chat-completion and /completion tests (#1223)
# What does this PR do?

The goal is to have a fairly complete set of provider and e2e tests for
/chat-completion and /completion. This is the current list,
```
grep -oE "def test_[a-zA-Z_+]*" llama_stack/providers/tests/inference/test_text_inference.py | cut -d' ' -f2
```
- test_model_list
- test_text_completion_non_streaming
- test_text_completion_streaming
- test_text_completion_logprobs_non_streaming
- test_text_completion_logprobs_streaming
- test_text_completion_structured_output
- test_text_chat_completion_non_streaming
- test_text_chat_completion_structured_output
- test_text_chat_completion_streaming
- test_text_chat_completion_with_tool_calling
- test_text_chat_completion_with_tool_calling_streaming

```
grep -oE "def test_[a-zA-Z_+]*" tests/client-sdk/inference/test_text_inference.py | cut -d' ' -f2
```
- test_text_completion_non_streaming
- test_text_completion_streaming
- test_text_completion_log_probs_non_streaming
- test_text_completion_log_probs_streaming
- test_text_completion_structured_output
- test_text_chat_completion_non_streaming
- test_text_chat_completion_streaming
- test_text_chat_completion_with_tool_calling_and_non_streaming
- test_text_chat_completion_with_tool_calling_and_streaming
- test_text_chat_completion_with_tool_choice_required
- test_text_chat_completion_with_tool_choice_none
- test_text_chat_completion_structured_output
- test_text_chat_completion_tool_calling_tools_not_in_request

## Test plan

== Set up Ollama local server
```
OLLAMA_HOST=127.0.0.1:8321 with-proxy ollama serve
OLLAMA_HOST=127.0.0.1:8321 ollama run llama3.2:3b-instruct-fp16 --keepalive 60m
```

==  Run a provider test
```
conda activate stack
OLLAMA_URL="http://localhost:8321" \
pytest -v -s -k "ollama" --inference-model="llama3.2:3b-instruct-fp16" \
llama_stack/providers/tests/inference/test_text_inference.py::TestInference
```

== Run an e2e test
```
conda activate sherpa
with-proxy pip install llama-stack
export INFERENCE_MODEL=llama3.2:3b-instruct-fp16
export LLAMA_STACK_PORT=8322
with-proxy llama stack build --template ollama
with-proxy llama stack run --env OLLAMA_URL=http://localhost:8321 ollama
```
```
conda activate stack
LLAMA_STACK_PORT=8322 LLAMA_STACK_BASE_URL="http://localhost:8322" \
pytest -v -s --inference-model="llama3.2:3b-instruct-fp16" \
tests/client-sdk/inference/test_text_inference.py
```
2025-02-25 11:37:04 -08:00
Ashwin Bharambe
ab54b8cd58
feat(providers): support non-llama models for inference providers (#1200)
This PR begins the process of supporting non-llama models within Llama
Stack. We start simple by adding support for this functionality within a
few existing providers: fireworks, together and ollama.

## Test Plan

```bash
LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/client-sdk/inference/test_text_inference.py \
  --inference-model accounts/fireworks/models/phi-3-vision-128k-instruct
```

^ this passes most of the tests but as expected fails the tool calling
related tests since they are very specific to Llama models

```
inference/test_text_inference.py::test_text_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_completion_log_probs_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_completion_log_probs_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_text_completion_structured_output[accounts/fireworks/models/phi-3-vision-128k-instruct-completion-01] PASSED
inference/test_text_inference.py::test_text_chat_completion_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-Which planet do humans live on?-Earth] PASSED
inference/test_text_inference.py::test_text_chat_completion_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-Which planet has rings around it with a name starting w
ith letter S?-Saturn] PASSED
inference/test_text_inference.py::test_text_chat_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-What's the name of the Sun in latin?-Sol] PASSED
inference/test_text_inference.py::test_text_chat_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-What is the name of the US captial?-Washington] PASSED
inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_required[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_none[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_text_chat_completion_structured_output[accounts/fireworks/models/phi-3-vision-128k-instruct] ERROR
inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[accounts/fireworks/models/phi-3-vision-128k-instruct-True] PASSED
inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[accounts/fireworks/models/phi-3-vision-128k-instruct-False] PASSED
```
2025-02-21 13:21:28 -08:00
Ashwin Bharambe
34226d6c93 Another test_case related breakage fix 2025-02-20 23:10:33 -08:00
Ashwin Bharambe
36b762303c Fix client-sdk inference text -- spurious parameterization of test_case 2025-02-20 22:46:17 -08:00
LESSuseLESS
2cbe9395b0
feat: D69478008 [llama-stack] turning tests into data-driven (#1180)
# What does this PR do?

We have several places running tests for different purposes.
- oss llama stack
  - provider tests
  - e2e tests
- provider llama stack
  - unit tests
  - e2e tests

It would be nice if they can *share the same set of test data*, so we
maintain the consistency between spec and implementation. This is what
this diff is about, isolating test data from test coding, so that we can
reuse the same data at different places by writing different test
coding.

## Test Plan

== Set up Ollama local server  
==  Run a provider test
conda activate stack

OLLAMA_URL="http://localhost:8321" \
pytest -v -s -k "ollama" --inference-model="llama3.2:3b-instruct-fp16" \

llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion_structured_output
// test_structured_output should also work

== Run an e2e test
conda activate sherpa
with-proxy pip install llama-stack
export INFERENCE_MODEL=llama3.2:3b-instruct-fp16
export LLAMA_STACK_PORT=8322
with-proxy llama stack build --template ollama
with-proxy llama stack run --env OLLAMA_URL=http://localhost:8321 ollama
  - Run test client,
LLAMA_STACK_PORT=8322 LLAMA_STACK_BASE_URL="http://localhost:8322" \
pytest -v -s --inference-model="llama3.2:3b-instruct-fp16" \

tests/client-sdk/inference/test_text_inference.py::test_text_completion_structured_output
// test_text_chat_completion_structured_output should also work

## Notes

- This PR was automatically generated by oss_sync
- Please refer to D69478008 for more details.
2025-02-20 14:13:06 -08:00
Yuan Tang
a66b4c4c81
test: Enable test_text_chat_completion_with_tool_choice_required for remote::vllm (#1148) 2025-02-18 23:52:15 -05:00
ehhuang
8de7cf103b
feat: support tool_choice = {required, none, <function>} (#1059)
Summary:

titled


Test Plan:

added tests and

LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/client-sdk/
--safety-shield meta-llama/Llama-Guard-3-8B
2025-02-18 23:25:15 -05:00
Yuan Tang
efdd60014d
test: Enable logprobs top_k tests for remote::vllm (#1080)
top_k supported was added in
https://github.com/meta-llama/llama-stack/pull/1074. The tests should be
enabled as well.

Verified that tests pass for remote::vllm:

```
LLAMA_STACK_BASE_URL=http://localhost:5003 pytest -v tests/client-sdk/inference/test_text_inference.py -k " test_completion_log_probs_non_streaming or test_completion_log_probs_streaming"
================================================================ test session starts ================================================================
platform linux -- Python 3.10.16, pytest-8.3.4, pluggy-1.5.0 -- /home/yutang/.conda/envs/distribution-myenv/bin/python3.10
cachedir: .pytest_cache
rootdir: /home/yutang/repos/llama-stack
configfile: pyproject.toml
plugins: anyio-4.8.0
collected 14 items / 12 deselected / 2 selected                                                                                                     

tests/client-sdk/inference/test_text_inference.py::test_completion_log_probs_non_streaming[meta-llama/Llama-3.1-8B-Instruct] PASSED           [ 50%]
tests/client-sdk/inference/test_text_inference.py::test_completion_log_probs_streaming[meta-llama/Llama-3.1-8B-Instruct] PASSED               [100%]

=================================================== 2 passed, 12 deselected, 1 warning in 10.03s ====================================================
```

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
2025-02-13 13:44:57 -05:00
Xi Yan
66d7e15c93
perf: ensure ToolCall in ChatCompletionResponse is subset of ChatCompletionRequest.tools (#1041)
# What does this PR do?

**Problem**
- Using script:
https://gist.github.com/thoraxe/6163b2145ce7b1c24c6026b64cf90085

- This hits an issue on server with `code_interpreter` not found, as we
do not pass "builtin::code_interpreter" in AgentConfig's `toolgroups`.

This is a general issue where model always tries to output
`code_interpreter` in `ToolCall` even when we do not have
`code_interpreter` available for execution.

**Reproduce Deeper Problem in chat-completion**
- Use script:
https://gist.github.com/yanxi0830/163a9ad7b5db10556043fbfc7ecd7603

1. We currently always populate `code_interpreter` in `ToolCall` in
ChatCompletionResponse if the model's response begins with
`<|python_tag|>`. See
c5f5958498/models/llama3/api/chat_format.py (L200-L213)

<img width="913" alt="image"
src="https://github.com/user-attachments/assets/328d313d-0a0b-495c-8715-61cca9ccc4a6"
/>

2. This happens even if we do not pass the `code_interpreter` as a
`tools` in ChatCompletionRequest.

**This PR**

Explicitly make sure that the tools returned in
`ChatCompletionResponse.tool_calls` is always a tool requested by
`ChatCompletionRequest.tools`.

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan

**Before**
<img width="913" alt="image"
src="https://github.com/user-attachments/assets/328d313d-0a0b-495c-8715-61cca9ccc4a6"
/>
<img width="997" alt="image"
src="https://github.com/user-attachments/assets/d3e82b62-b142-4939-954c-62843bec7110"
/>


**After**
<img width="856" alt="image"
src="https://github.com/user-attachments/assets/2c70ce55-c8d0-45ea-b10f-f70adc50d3d9"
/>
<img width="1000" alt="image"
src="https://github.com/user-attachments/assets/b5e81826-c35b-4052-bf81-7afff93ce2ef"
/>



**Unit Test**
```
LLAMA_STACK_BASE_URL=http://localhost:8321 pytest -v tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request --inference-model "meta-llama/Llama-3.3-70B-Instruct"
```

```
LLAMA_STACK_BASE_URL=http://localhost:8321 pytest -v tests/client-sdk/agents/
```
<img width="1002" alt="image"
src="https://github.com/user-attachments/assets/04808517-eded-4122-97f5-7e5142de9779"
/>



**Streaming**
- Chat Completion
<img width="902" alt="image"
src="https://github.com/user-attachments/assets/f477bc86-bd38-4729-b49e-a0a6ed3f835a"
/>

- Agent
<img width="916" alt="image"
src="https://github.com/user-attachments/assets/f4cc3417-23cd-46b1-953d-3a2271e79bbb"
/>


[//]: # (## Documentation)
[//]: # (- [ ] Added a Changelog entry if the change is significant)
2025-02-11 18:31:35 -08:00
Yuan Tang
b981b49bfa
test: Use JSON tool prompt format for remote::vllm provider (#1019)
# What does this PR do?

This PR removes the warnings when running tests for `remote::vllm`
provider:
```
Detected the chat template content format to be 'openai'. You can set `--chat-template-content-format` to override this.
```

## Test Plan

All tests passed without the warning messages shown above.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
2025-02-08 20:42:57 -08:00
Yuan Tang
413099ef6a
test: Make text-based chat completion tests run 10x faster (#1016)
# What does this PR do?

This significantly shortens the test time (about 10x faster) since most
of the time is spent on outputing the tokens "there are several planets
in our solar system that have...". We want to have an answer quicker,
especially when testing even larger models.

## Test Plan

```
LLAMA_STACK_BASE_URL=http://localhost:5002 pytest -v tests/client-sdk/inference/test_text_inference.py -k "test_text_chat_completion_non_streaming or test_text_chat_completion_streaming"
================================================================== test session starts ===================================================================
platform linux -- Python 3.10.16, pytest-8.3.4, pluggy-1.5.0 -- /home/yutang/.conda/envs/myenv/bin/python3.10
cachedir: .pytest_cache
rootdir: /home/yutang/repos/llama-stack
configfile: pyproject.toml
plugins: anyio-4.7.0
collected 12 items / 8 deselected / 4 selected                                                                                                           

tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_non_streaming[meta-llama/Llama-3.1-8B-Instruct-Which planet do humans live on?-Earth] PASSED [ 25%]
tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_non_streaming[meta-llama/Llama-3.1-8B-Instruct-Which planet has rings around it with a name starting with letter S?-Saturn] PASSED [ 50%]
tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_streaming[meta-llama/Llama-3.1-8B-Instruct-What's the name of the Sun in latin?-Sol] PASSED [ 75%]
tests/client-sdk/inference/test_text_inference.py::test_text_chat_completion_streaming[meta-llama/Llama-3.1-8B-Instruct-What is the name of the US captial?-Washington] PASSED [100%]


```

---------

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
2025-02-08 11:49:46 -08:00
Yuan Tang
c97e05f75e
test: Split inference tests to text and vision (#1008)
# What does this PR do?

This PR splits the inference tests into text and vision to make testing
on vLLM provider easier as mentioned in
https://github.com/meta-llama/llama-stack/pull/951 since serving
multiple models (e.g. Llama-3.2-11B-Vision-Instruct and
Llama-3.1-8B-Instruct) on a single port using the OpenAI API is [not
supported yet](https://docs.vllm.ai/en/v0.5.5/serving/faq.html) so it's
a bit tricky to test both at the same time.

## Test Plan

All previously passing tests related to text still pass:
`LLAMA_STACK_BASE_URL=http://localhost:5002 pytest -v
tests/client-sdk/inference/test_text_inference.py`

All vision tests passed via `LLAMA_STACK_BASE_URL=http://localhost:5002
pytest -v tests/client-sdk/inference/test_vision_inference.py`.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
2025-02-07 09:35:49 -08:00
Renamed from tests/client-sdk/inference/test_inference.py (Browse further)