* Refactor LLMPerformanceMonitor to use options object for measureStream parameters
* Refactor invocations of `measureStream` to use options arguments
* Change invocation of `measureStream` in anthropic provider to use options argument
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Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* add model tag to chatCompletion
* add modelTag `model` to async streaming
keeps default arguments for prompt token calculation where applied via explict arg
* fix HF default arg
* render all performance metrics as available for backward compatibility
add `timestamp` to both sync/async chat methods
* extract metrics string to function
* Add className property to various LLM and embedder classes to fix logging bug after minification
* Fix bug with this.log method by applying the missing private field symbol
* Enable agent context windows to be accurate per provider:model
* Refactor model mapping to external file
Add token count to document length instead of char-count
refernce promptWindowLimit from AIProvider in central location
* remove unused imports
* refactor stream/chat/embed-stram to be a single execution logic path so that it is easier to maintain and build upon
* no thread in sync chat since only api uses it
adjust import locations
* add support for mistral api
* update docs to show support for Mistral
* add default temp to all providers, suggest different results per provider
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
