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harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
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langchain-ai21==0.1.7
langchain-airbyte==0.1.1
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langchain-anthropic==0.2.0.dev1
langchain-anthropic==0.2.1
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
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langchain-prompty==0.0.1
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langchain-prompty==0.0.3
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${ noResults }
Jerzy Czopek
539672a7fd
This pull request aims to ensure that the `OpenAICallbackHandler` can properly calculate the total cost for Azure OpenAI chat models. The following changes have resolved this issue: - The `model_name` has been added to the ChatResult llm_output. Without this, the default values of `gpt-35-turbo` were applied. This was causing the total cost for Azure OpenAI's GPT-4 to be significantly inaccurate. - A new parameter `model_version` has been added to `AzureChatOpenAI`. Azure does not include the model version in the response. With the addition of `model_name`, this is not a significant issue for GPT-4 models, but it's an issue for GPT-3.5-Turbo. Version 0301 (default) of GPT-3.5-Turbo on Azure has a flat rate of 0.002 per 1k tokens for both prompt and completion. However, version 0613 introduced a split in pricing for prompt and completion tokens. - The `OpenAICallbackHandler` implementation has been updated with the proper model names, versions, and cost per 1k tokens. Unit tests have been added to ensure the functionality works as expected; the Azure ChatOpenAI notebook has been updated with examples. Maintainers: @hwchase17, @baskaryan Twitter handle: @jjczopek --------- Co-authored-by: Jerzy Czopek <jerzy.czopek@avanade.com> Co-authored-by: Bagatur <baskaryan@gmail.com> |
1 year ago | |
|---|---|---|
| .. | ||
| callbacks | Extend the StreamlitChatMessageHistory docs with a fuller example and… (#8774) | 1 year ago |
| chat | Feature/fix azureopenai model mappings (#8621) | 1 year ago |
| document_loaders | Airbyte based loaders (#8586) | 1 year ago |
| document_transformers | Bagatur/revert revert nuclia (#8833) | 1 year ago |
| llms | Fixes to the Nebula LLM Integration (#8918) | 1 year ago |
| memory | Integrate Rockset as a chat history store (#8940) | 1 year ago |
| providers | add instructions on integrating Log10 (#8938) | 1 year ago |
| retrievers | `PubMed` document loader (#8893) | 1 year ago |
| text_embedding | Add BGE embeddings support (#8848) | 1 year ago |
| toolkits | MultiOn client toolkit update 2.0 (#8750) | 1 year ago |
| tools | Harrison/image (#845) | 1 year ago |
| vectorstores | Weaviate: adding auth example + fixing spelling in ReadME (#8939) | 1 year ago |