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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inline	feat(1/n): api: unify agents for handling server & client tools (#1178)	2025-02-21 11:48:27 -08:00
registry	chore: move embedding deps to RAG tool where they are needed (#1210)	2025-02-21 11:33:41 -08:00
remote	fix: pull ollama embedding model if necessary (#1209)	2025-02-21 10:35:56 -08:00
tests	chore: move embedding deps to RAG tool where they are needed (#1210)	2025-02-21 11:33:41 -08:00
utils	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
__init__.py	API Updates (#73)	2024-09-17 19:51:35 -07:00
datatypes.py	chore: move all Llama Stack types from llama-models to llama-stack (#1098)	2025-02-14 09:10:59 -08:00