* add gpu runners and prod memory_repos
* add lmstudio and vllm in model_settings
* fix llm_configs and change variable name in reusable workflow and change perms for memory_repos to admin in tf
* fix: update self-hosted provider tests to use SDK 1.0 and v2 tests
- Update letta-client from ==0.1.324 to >=1.0.0
- Switch ollama/vllm/lmstudio tests to integration_test_send_message_v2.py
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* fix: use openai provider_type for self-hosted model settings
ollama/vllm/lmstudio are not valid provider_type values in the SDK
model_settings schema - they use openai-compatible APIs so provider_type
should be openai. The provider routing is determined by the handle prefix.
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Co-Authored-By: Letta <noreply@letta.com>
* fix: enable redis for ollama/vllm/lmstudio tests
Background streaming tests require Redis. Add use-redis: true to
self-hosted provider test workflows.
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* prep for lmstudio and vllm
* used lmstudio_openai client
* change tool call parser from hermes to qwen3_xml
* qwen3_xmlk -> qwen3_coder
* revert to hermes (incompatible with parallel tool calls?) and skipping vllm tests on parallel tool calls
* install uv redis extra
* remove lmstudio
* create lmstudio test
* qwen3-14b on lmstudio
* try with qwen3-4b
* actually update the model config json to use qwen3-4b
* add test_providers::test_lmstudio
* bump timeout from 60 to 120 for slow lmstudio on cpu model
* misc vllm changes
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