llama-stack-mirror/docs
ehhuang 6cf79437b3
feat: support ClientTool output metadata (#1426)
# Summary:
Client side change in
https://github.com/meta-llama/llama-stack-client-python/pull/180
Changes the resume_turn API to accept `ToolResponse` instead of
`ToolResponseMessage`:
1. `ToolResponse` contains `metadata`
2. `ToolResponseMessage` is a concept for model inputs. Here we are just
submitting the outputs of tool execution.

# Test Plan:
Ran integration tests with newly added test using client tool with
metadata

LLAMA_STACK_CONFIG=fireworks pytest -s -v
tests/integration/agents/test_agents.py --safety-shield
meta-llama/Llama-Guard-3-8B --record-responses
2025-03-05 14:30:27 -08:00
..
_static feat: support ClientTool output metadata (#1426) 2025-03-05 14:30:27 -08:00
notebooks feat: effective agent workflow notebook (#1372) 2025-03-05 11:53:25 -08:00
openapi_generator chore: remove straggler references to llama-models (#1345) 2025-03-01 14:26:03 -08:00
resources Several documentation fixes and fix link to API reference 2025-02-04 14:00:43 -08:00
source docs: fix typo (#1416) 2025-03-05 10:02:32 -08:00
zero_to_hero_guide docs: Update llama-stack version in README.md (#1330) 2025-02-28 13:37:03 -08:00
conftest.py No spaces in ipynb tests 2025-02-07 11:56:22 -08:00
contbuild.sh Fix broken links with docs 2024-11-22 20:42:17 -08:00
dog.jpg Support for Llama3.2 models and Swift SDK (#98) 2024-09-25 10:29:58 -07:00
getting_started.ipynb fix: update getting_started notebook to pass nbeval (#1318) 2025-02-27 23:13:00 -05:00
license_header.txt Initial commit 2024-07-23 08:32:33 -07:00
make.bat first version of readthedocs (#278) 2024-10-22 10:15:58 +05:30
Makefile first version of readthedocs (#278) 2024-10-22 10:15:58 +05:30
readme.md Fix README.md notebook links (#976) 2025-02-05 14:33:46 -08:00
requirements.txt fix: add tomli to requirements.txt for docs; ideally we need to move this to uv 2025-03-03 11:11:17 -08:00

Llama Stack Documentation

Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.

Content

Try out Llama Stack's capabilities through our detailed Jupyter notebooks: