forked from phoenix-oss/llama-stack-mirror
4 commits
| Author | SHA1 | Message | Date | |
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Ihar Hrachyshka
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9e6561a1ec
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chore: enable pyupgrade fixes (#1806)
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com> |
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Ashwin Bharambe
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314ee09ae3
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chore: move all Llama Stack types from llama-models to llama-stack (#1098)
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ``` |
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Ashwin Bharambe
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e3f187fb83 | Redact sensitive information from configs when printing, etc. | ||
Henry Tu
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64c6df8392
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Cerebras Inference Integration (#265)
Adding Cerebras Inference as an API provider. ## Testing ### Conda ``` $ llama stack build --template cerebras --image-type conda $ llama stack run ~/.llama/distributions/llamastack-cerebras/cerebras-run.yaml ... Listening on ['::', '0.0.0.0']:5000 INFO: Started server process [12443] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://['::', '0.0.0.0']:5000 (Press CTRL+C to quit) ``` ### Chat Completion ``` $ curl --location 'http://localhost:5000/alpha/inference/chat-completion' --header 'Content-Type: application/json' --data '{ "model_id": "meta-llama/Llama-3.1-8B-Instruct", "messages": [ { "role": "user", "content": "What is the temperature in Seattle right now?" } ], "stream": false, "sampling_params": { "strategy": "top_p", "temperature": 0.5, "max_tokens": 100 }, "tool_choice": "auto", "tool_prompt_format": "json", "tools": [ { "tool_name": "getTemperature", "description": "Gets the current temperature of a location.", "parameters": { "location": { "param_type": "string", "description": "The name of the place to get the temperature from in degress celsius.", "required": true } } } ] }' ``` #### Non-Streaming Response ``` { "completion_message": { "role": "assistant", "content": "", "stop_reason": "end_of_message", "tool_calls": [ { "call_id": "6f42fdcc-6cbb-46ad-a17b-5d20ac64b678", "tool_name": "getTemperature", "arguments": { "location": "Seattle" } } ] }, "logprobs": null } ``` #### Streaming Response ``` data: {"event":{"event_type":"start","delta":"","logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"","parse_status":"started"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"{\"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"type","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\":","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" \"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"function","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\",","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" \"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"name","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\":","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" \"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"get","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"Temperature","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\",","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" \"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"parameters","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\":","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" {\"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"location","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\":","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":" \"","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"Seattle","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":"\"}}","parse_status":"in_progress"},"logprobs":null,"stop_reason":null}} data: {"event":{"event_type":"progress","delta":{"content":{"call_id":"e742df1f-0ae9-40ad-a49e-18e5c905484f","tool_name":"getTemperature","arguments":{"location":"Seattle"}},"parse_status":"success"},"logprobs":null,"stop_reason":"end_of_message"}} data: {"event":{"event_type":"complete","delta":"","logprobs":null,"stop_reason":"end_of_message"}} ``` ### Completion ``` $ curl --location 'http://localhost:5000/alpha/inference/completion' --header 'Content-Type: application/json' --data '{ "model_id": "meta-llama/Llama-3.1-8B-Instruct", "content": "1,2,3,", "stream": true, "sampling_params": { "strategy": "top_p", "temperature": 0.5, "max_tokens": 10 }, "tool_choice": "auto", "tool_prompt_format": "json", "tools": [ { "tool_name": "getTemperature", "description": "Gets the current temperature of a location.", "parameters": { "location": { "param_type": "string", "description": "The name of the place to get the temperature from in degress celsius.", "required": true } } } ] }' ``` #### Non-Streaming Response ``` { "content": "4,5,6,7,8,", "stop_reason": "out_of_tokens", "logprobs": null } ``` #### Streaming Response ``` data: {"delta":"4","stop_reason":null,"logprobs":null} data: {"delta":",","stop_reason":null,"logprobs":null} data: {"delta":"5","stop_reason":null,"logprobs":null} data: {"delta":",","stop_reason":null,"logprobs":null} data: {"delta":"6","stop_reason":null,"logprobs":null} data: {"delta":",","stop_reason":null,"logprobs":null} data: {"delta":"7","stop_reason":null,"logprobs":null} data: {"delta":",","stop_reason":null,"logprobs":null} data: {"delta":"8","stop_reason":null,"logprobs":null} data: {"delta":",","stop_reason":null,"logprobs":null} data: {"delta":"","stop_reason":null,"logprobs":null} data: {"delta":"","stop_reason":"out_of_tokens","logprobs":null} ``` ### Pre-Commit Checks ``` trim trailing whitespace.................................................Passed check python ast.........................................................Passed check for merge conflicts................................................Passed check for added large files..............................................Passed fix end of files.........................................................Passed Insert license in comments...............................................Passed flake8...................................................................Passed Format files with µfmt...................................................Passed ``` ### Testing with `test_inference.py` ``` $ export CEREBRAS_API_KEY=<insert API key here> $ pytest -v -s llama_stack/providers/tests/inference/test_text_inference.py -m "cerebras and llama_8b" /net/henryt-dev/srv/nfs/henryt-data/ws/llama-stack/.venv/lib/python3.12/site-packages/pytest_asyncio/plugin.py:208: PytestDeprecationWarning: The configuration option "asyncio_default_fixture_loop_scope" is unset. The event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: "function", "class", "module", "package", "session" warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET)) =================================================== test session starts =================================================== platform linux -- Python 3.12.3, pytest-8.3.3, pluggy-1.5.0 -- /net/henryt-dev/srv/nfs/henryt-data/ws/llama-stack/.venv/bin/python3.12 cachedir: .pytest_cache rootdir: /net/henryt-dev/srv/nfs/henryt-data/ws/llama-stack configfile: pyproject.toml plugins: anyio-4.6.2.post1, asyncio-0.24.0 asyncio: mode=Mode.STRICT, default_loop_scope=None collected 128 items / 120 deselected / 8 selected llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_model_list[llama_8b-cerebras] Resolved 4 providers inner-inference => cerebras models => __routing_table__ inference => __autorouted__ inspect => __builtin__ Models: meta-llama/Llama-3.1-8B-Instruct served by cerebras PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion[llama_8b-cerebras] PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completions_structured_output[llama_8b-cerebras] SKIPPED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_non_streaming[llama_8b-cerebras] PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_structured_output[llama_8b-cerebras] SKIPPED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_streaming[llama_8b-cerebras] PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling[llama_8b-cerebras] PASSED llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling_streaming[llama_8b-cerebras] PASSED ================================ 6 passed, 2 skipped, 120 deselected, 6 warnings in 3.95s ================================= ``` I ran `python llama_stack/scripts/distro_codegen.py` to run codegen. |