2a0601f75a
* feat: remote engine management * chore: fix linter issue * chore: remove unused imports * fix: populate engines, models and legacy settings (#4403) * fix: populate engines, models and legacy settings * chore: legacy logics update configured remote engine * fix: check exist path before reading * fix: engines and models persist - race condition * chore: update issue state * test: update test cases * chore: bring back Cortex extension settings * chore: setup button gear / plus based apikey * chore: fix remote engine from welcome screen * chore: resolve linter issue * chore: support request headers template * chore: update engines using header_template instead of api_key_template * chore: update models on changes * fix: anthropic response template * chore: fix welcome screen and debounce update value input * chore: update engines list on changes * chore: update engines list on change * chore: update desc form add modal remote engines * chore: bump cortex version to latest RC * chore: fix linter * fix: transform payload of Anthropic and OpenAI * fix: typo * fix: openrouter model id for auto routing * chore: remove remote engine URL setting * chore: add cohere engine and model support * fix: should not clean on app launch - models list display issue * fix: local engine check logic * chore: bump app version to latest release 0.5.13 * test: fix failed tests --------- Co-authored-by: Louis <louis@jan.ai>
29 lines
1.0 KiB
JSON
29 lines
1.0 KiB
JSON
[
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{
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"model": "command-r-plus",
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"object": "model",
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"name": "Command R+",
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"version": "1.0",
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"description": "Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.",
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"inference_params": {
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"max_tokens": 4096,
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"temperature": 0.7,
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"stream": false
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},
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"engine": "cohere"
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},
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{
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"model": "command-r",
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"object": "model",
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"name": "Command R",
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"version": "1.0",
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"description": "Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents.",
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"inference_params": {
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"max_tokens": 4096,
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"temperature": 0.7,
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"stream": false
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},
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"engine": "cohere"
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}
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]
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