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feat: add LiteLLM provider #9404

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feat: add LiteLLM provider #9404

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9 changes: 9 additions & 0 deletions providers/litellm/logo.svg
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8 changes: 8 additions & 0 deletions providers/litellm/models/gpt-6-luna.toml
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Original file line number Diff line number Diff line change
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# Example alias only. LiteLLM has no built-in models: each proxy maps its own aliases
# (model_list[].model_name) to a backend, so this ID works only if the proxy config defines it.
# Metadata comes from the GPT-6 Luna lab entry; cost is omitted because pricing depends on the backend.
# LiteLLM forwards reasoning_effort to the backend; values match the OpenAI entry.
# https://docs.litellm.ai/docs/proxy/configs
# https://docs.litellm.ai/docs/reasoning_content
base_model = "openai/gpt-6-luna"
reasoning_options = [{ type = "effort", values = ["none", "low", "medium", "high", "xhigh", "max"] }]
12 changes: 12 additions & 0 deletions providers/litellm/provider.toml
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# LiteLLM Proxy is a self-hosted gateway that exposes an OpenAI-compatible API.
# Model IDs are aliases that the operator sets in the proxy config (model_list[].model_name).
# GET /v1/models returns the aliases that a given proxy serves.
# The API key is a LiteLLM virtual key or the master key; a proxy can also run without auth.
# https://docs.litellm.ai/docs/proxy/quick_start
# https://docs.litellm.ai/docs/proxy/virtual_keys
# https://docs.litellm.ai/docs/providers/litellm_proxy
name = "LiteLLM"
npm = "@ai-sdk/openai-compatible"
env = ["LITELLM_API_KEY"]
api = "http://localhost:4000/v1"
doc = "https://docs.litellm.ai/docs/proxy/quick_start"
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