forked from phoenix-oss/llama-stack-mirror
6 commits
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d1f3b032c9
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cerebras template update for memory (#792)
# What does this PR do? - we no longer have meta-reference as memory provider, update cerebras template ## Test Plan ``` python llama_stack/scripts/distro_codegen.py ``` ## Sources Please link relevant resources if necessary. ## 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. |
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a6b9f2cec7
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fix cerebras template (#790)
# What does this PR do? - fix cerebras template ## Test Plan ``` llama stack build --template cerebras --image-type conda llama stack run cerebras LLAMA_STACK_BASE_URL="http://localhost:5000" pytest -v tests/client-sdk/ --html=report.html --self-contained-html ``` ## Sources Please link relevant resources if necessary. ## 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. |
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ff182ff6de
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rename LLAMASTACK_PORT to LLAMA_STACK_PORT for consistency with other env vars (#744)
# What does this PR do? Rename environment var for consistency ## Test Plan No regressions ## Sources ## Before submitting - [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [X] Ran pre-commit to handle lint / formatting issues. - [X] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [X] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests. --------- Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> Co-authored-by: Yuan Tang <terrytangyuan@gmail.com> |
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a5c57cd381
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agents to use tools api (#673)
# What does this PR do? PR #639 introduced the notion of Tools API and ability to invoke tools through API just as any resource. This PR changes the Agents to start using the Tools API to invoke tools. Major changes include: 1) Ability to specify tool groups with AgentConfig 2) Agent gets the corresponding tool definitions for the specified tools and pass along to the model 3) Attachements are now named as Documents and their behavior is mostly unchanged from user perspective 4) You can specify args that can be injected to a tool call through Agent config. This is especially useful in case of memory tool, where you want the tool to operate on a specific memory bank. 5) You can also register tool groups with args, which lets the agent inject these as well into the tool call. 6) All tests have been migrated to use new tools API and fixtures including client SDK tests 7) Telemetry just works with tools API because of our trace protocol decorator ## Test Plan ``` pytest -s -v -k fireworks llama_stack/providers/tests/agents/test_agents.py \ --safety-shield=meta-llama/Llama-Guard-3-8B \ --inference-model=meta-llama/Llama-3.1-8B-Instruct pytest -s -v -k together llama_stack/providers/tests/tools/test_tools.py \ --safety-shield=meta-llama/Llama-Guard-3-8B \ --inference-model=meta-llama/Llama-3.1-8B-Instruct LLAMA_STACK_CONFIG="/Users/dineshyv/.llama/distributions/llamastack-together/together-run.yaml" pytest -v tests/client-sdk/agents/test_agents.py ``` run.yaml: https://gist.github.com/dineshyv/0365845ad325e1c2cab755788ccc5994 Notebook: https://colab.research.google.com/drive/1ck7hXQxRl6UvT-ijNRZ-gMZxH1G3cN2d?usp=sharing |
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516e1a3e59
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add embedding model by default to distribution templates (#617)
# What does this PR do? Adds the sentence transformer provider and the `all-MiniLM-L6-v2` embedding model to the default models to register in the run.yaml for all providers. ## Test Plan llama stack build --template together --image-type conda llama stack run ~/.llama/distributions/llamastack-together/together-run.yaml |
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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. |