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Codemod from llama_toolchain -> llama_stack

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- added providers/registry
- cleaned up api/ subdirectories and moved impls away
- restructured api/api.py
- from llama_stack.apis.<api> import foo should work now
- update imports to do llama_stack.apis.<api>
- update many other imports
- added __init__, fixed some registry imports
- updated registry imports
- create_agentic_system -> create_agent
- AgenticSystem -> Agent
This commit is contained in:
Ashwin Bharambe 2024-09-16 17:34:07 -07:00
parent 2cf731faea
commit 76b354a081
128 changed files with 381 additions and 376 deletions
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4
docs/getting_started.md
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@ -296,7 +296,7 @@ Once the server is setup, we can test it with a client to see the example output
cd /path/to/llama-stack
conda activate <env> # any environment containing the llama-toolchain pip package will work
python -m llama_stack.inference.client localhost 5000
python -m llama_stack.apis.inference.client localhost 5000
```
This will run the chat completion client and query the distribution’s /inference/chat_completion API.
@ -314,7 +314,7 @@ You know what's even more hilarious? People like you who think they can just Goo
Similarly you can test safety (if you configured llama-guard and/or prompt-guard shields) by:
```
python -m llama_stack.safety.client localhost 5000
python -m llama_stack.apis.safety.client localhost 5000
```
You can find more example scripts with client SDKs to talk with the Llama Stack server in our [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main/sdk_examples) repo.