6 commits

Author	SHA1	Message	Date
Charlie Doern	d12f195f56	feat: drop python 3.10 support (#2469) ... # What does this PR do? dropped python3.10, updated pyproject and dependencies, and also removed some blocks of code with special handling for enum.StrEnum Closes #2458 Signed-off-by: Charlie Doern <cdoern@redhat.com>	2025-06-19 12:07:14 +05:30
Hardik Shah	985d0b156c	feat: Add suffix to openai_completions (#2449) ... For code completion apps need "fill in the middle" capabilities. Added option of `suffix` to `openai_completion` to enable this. Updated ollama provider to showcase the same. ### Test Plan ``` pytest -sv --stack-config="inference=ollama" tests/integration/inference/test_openai_completion.py --text-model qwen2.5-coder:1.5b -k test_openai_completion_non_streaming_suffix ``` ### OpenAI Sample script ``` from openai import OpenAI client = OpenAI(base_url="http://localhost:8321/v1/openai/v1") response = client.completions.create( model="qwen2.5-coder:1.5b", prompt="The capital of ", suffix="is Paris.", max_tokens=10, ) print(response.choices[0].text) ``` ### Output ``` France is ____. To answer this question, we ```	2025-06-13 16:06:06 -07:00
Rohan Awhad	4e37b49cdc	fix: #1867 InferenceRouter has no attribute formatter (#2422) ... # What does this PR do? Closes #1867 [Steps to reproduce the bug](https://github.com/meta-llama/llama-stack/issues/1867#issuecomment-2956819381) The change was designed to minimize code changes. Open to option of skipping `metrics` field entirely when `telemetry` is disabled. ## Test Plan 1. Build llama-stack remote-vllm container ```bash llama stack build --template remote-vllm --image-type container ``` 2. Create a small run.yaml ```yaml version: '2' image_name: remote-vllm apis: - inference providers: inference: - provider_id: vllm-inference provider_type: remote::vllm config: url: ${env.VLLM_URL:http://localhost:8000/v1} max_tokens: ${env.VLLM_MAX_TOKENS:4096} api_token: ${env.VLLM_API_TOKEN:fake} tls_verify: ${env.VLLM_TLS_VERIFY:true} metadata_store: type: sqlite db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/registry.db inference_store: type: sqlite db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/inference_store.db models: - metadata: {} model_id: ${env.INFERENCE_MODEL} provider_id: vllm-inference model_type: llm shields: [] vector_dbs: [] datasets: [] scoring_fns: [] benchmarks: [] server: port: 8321 ``` 3. Run the llama-stack server ```bash export VLLM_URL="http://localhost:8000/v1" export INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" llama stack run run.yaml ``` 4. Then perform a curl ```bash curl -X 'POST' \ 'http://localhost:8321/v1/inference/completion' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -d '{ "model_id": "meta-llama/Llama-3.2-3B-Instruct", "content": "string", "sampling_params": { "strategy": { "type": "greedy" }, "max_tokens": 10, "repetition_penalty": 1, "stop": [ "string" ] }, "stream": false, "logprobs": { "top_k": 0 } }' ``` 5. You should receive a 200 response with metric values set to 0, similar to one below: ``` { "metrics": [ { "metric": "prompt_tokens", "value": 0, "unit": null }, { "metric": "completion_tokens", "value": 0, "unit": null }, { "metric": "total_tokens", "value": 0, "unit": null } ], [...] } ``` Co-authored-by: Rohan Awhad <rawhad@redhat.com>	2025-06-11 18:14:41 +02:00
Sumit Jaiswal	33ecefd284	feat: To add health status check for remote VLLM (#2303) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> To add health status check for remote VLLM <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> PR includes the unit test to test the added health check implementation feature.	2025-06-06 15:33:12 -04:00
Hardik Shah	b21050935e	feat: New OpenAI compat embeddings API (#2314) ... # What does this PR do? Adds a new endpoint that is compatible with OpenAI for embeddings api. `/openai/v1/embeddings` Added providers for OpenAI, LiteLLM and SentenceTransformer. ## Test Plan ``` LLAMA_STACK_CONFIG=http://localhost:8321 pytest -sv tests/integration/inference/test_openai_embeddings.py --embedding-model all-MiniLM-L6-v2,text-embedding-3-small,gemini/text-embedding-004 ```	2025-05-31 22:11:47 -07:00
Ashwin Bharambe	eedf21f19c	chore: split routers into individual files (inference, tool, vector_io, eval_scoring) (#2258)	2025-05-24 22:59:07 -07:00

Renamed from llama_stack/distribution/routers/routers.py (Browse further)