Xi Yan 0fe071764f feat(1/n): api: unify agents for handling server & client tools (#1178) ... # Problem Our current Agent framework has discrepancies in definition on how we handle server side and client side tools. 1. Server Tools: a single Turn is returned including `ToolExecutionStep` in agenst 2. Client Tools: `create_agent_turn` is called in loop with client agent lib yielding the agent chunk ad6ffc63df/src/llama_stack_client/lib/agents/agent.py (L186-L211) This makes it inconsistent to work with server & client tools. It also complicates the logs to telemetry to get information about agents turn / history for observability. #### Principle The same `turn_id` should be used to represent the steps required to complete a user message including client tools. ## Solution 1. `AgentTurnResponseEventType.turn_awaiting_input` status to indicate that the current turn is not completed, and awaiting tool input 2. `continue_agent_turn` endpoint to update agent turn with client's tool response. # What does this PR do? - Skeleton API as example ## 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.*] - Just API update, no functionality change ``` llama stack run + client-sdk test ``` <img width="842" alt="image" src="https://github.com/user-attachments/assets/7ac56b5f-f424-4632-9476-7e0f57555bc3" /> [//]: # (## Documentation)		2025-02-21 11:48:27 -08:00
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agents	feat(1/n): api: unify agents for handling server & client tools (#1178)	2025-02-21 11:48:27 -08:00
datasetio	build: format codebase imports using ruff linter (#1028)	2025-02-13 10:06:21 -08:00
eval	chore!: deprecate eval/tasks (#1186)	2025-02-20 14:06:21 -08:00
inference	chore: move embedding deps to RAG tool where they are needed (#1210)	2025-02-21 11:33:41 -08:00
ios/inference	LocalInferenceImpl update for LS 0.1 (#911)	2025-02-02 09:49:40 -08:00
post_training	feat: Enable CPU training for torchtune (#1140)	2025-02-19 22:42:58 -08:00
safety	chore: move all Llama Stack types from llama-models to llama-stack (#1098)	2025-02-14 09:10:59 -08:00
scoring	feat: add aggregation_functions to llm_as_judge_405b_simpleqa (#1164)	2025-02-19 19:42:04 -08:00
telemetry	build: format codebase imports using ruff linter (#1028)	2025-02-13 10:06:21 -08:00
tool_runtime	fix: Get distro_codegen.py working with default deps and enabled in pre-commit hooks (#1123)	2025-02-19 18:39:20 -08:00
vector_io	Fix sqlite_vec config defaults	2025-02-20 17:50:33 -08:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00