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"llama-index-embeddings-openai==0.1.11", - "llama-index-embeddings-azure-openai==0.1.11", - "llama-index-embeddings-ollama==0.1.2", - "llama-index-vector-stores-postgres==0.1.13", + "llama-index-embeddings-openai==0.3.1", + "llama-index-embeddings-ollama==0.5.0", + "llama-index-vector-stores-postgres==0.4.1", # Including Supabase conflicts with postgres on pg-vector. # Hence, commenting it out at the moment # "llama-index-vector-stores-supabase==0.1.3", - "llama-index-vector-stores-milvus==0.1.21", - "llama-index-vector-stores-weaviate==1.0.2", - "llama-index-vector-stores-pinecone==0.1.8", - "llama-index-vector-stores-qdrant==0.2.14", - "llama-index-llms-openai==0.1.27", - "llama-index-llms-palm==0.1.5", - "llama-index-llms-mistralai==0.1.19", + "llama-index-vector-stores-milvus==0.4.0", + "llama-index-vector-stores-weaviate==1.3.1", + "llama-index-vector-stores-pinecone==0.4.2", + "llama-index-vector-stores-qdrant==0.4.2", + "llama-index-llms-openai==0.3.12", + "llama-index-llms-palm==0.3.0", + "llama-index-llms-mistralai==0.3.1", #Todo: Remove the version locking for mistralai below #once the the following error is resolved from mistralai side #Unable to import llm adapters : No module named 'mistralai.models.chat_completion' #Looks like mistralai>0.4.2 is not backward compatible - "mistralai==0.4.2", - "llama-index-llms-anyscale==0.1.4", - "llama-index-llms-anthropic==0.1.16", - "llama-index-llms-azure-openai==0.1.10", - "llama-index-llms-vertex==0.2.2", - "llama-index-llms-replicate==0.1.3", - "llama-index-llms-ollama==0.2.2", - "llama-index-llms-bedrock==0.1.13", + "mistralai==1.2.5", + "llama-index-llms-anyscale==0.3.0", + "llama-index-llms-anthropic==0.6.3", + "llama-index-llms-azure-openai==0.3.0", + "llama-index-llms-vertex==0.4.2", + "llama-index-llms-replicate==0.4.0", + "llama-index-llms-ollama==0.5.0", + "llama-index-llms-bedrock==0.3.3", # For Llama Parse X2Text - "llama-parse==0.4.9", + "llama-parse==0.5.19", # OCR "filetype~=1.2.0", # Others @@ -122,4 +121,4 @@ path = "src/unstract/sdk/__init__.py" [tool.pdm.resolution.overrides] grpcio = "1.62.3" grpcio-tools = "1.62.3" -grpcio-health-checking = "1.62.3" +grpcio-health-checking = "1.62.3" \ No newline at end of file diff --git a/src/unstract/sdk/__init__.py b/src/unstract/sdk/__init__.py index 5031714..8232b7d 100644 --- a/src/unstract/sdk/__init__.py +++ b/src/unstract/sdk/__init__.py @@ -1,4 +1,4 @@ -__version__ = "0.54.0rc11" +__version__ = "0.55.0rc1" def get_sdk_version(): diff --git a/src/unstract/sdk/adapters/llm/exceptions.py b/src/unstract/sdk/adapters/llm/exceptions.py index 1c1297c..ed76c4c 100644 --- a/src/unstract/sdk/adapters/llm/exceptions.py +++ b/src/unstract/sdk/adapters/llm/exceptions.py @@ -1,6 +1,6 @@ from anthropic import APIError as AnthropicAPIError from google.api_core.exceptions import GoogleAPICallError -from mistralai.exceptions import MistralException +from mistralai.models import SDKError as MistralError from openai import APIError as OpenAIAPIError from vertexai.generative_models import ResponseValidationError @@ -35,7 +35,7 @@ def parse_llm_err(e: Exception, llm_adapter: LLMAdapter) -> LLMError: err = OpenAILLM.parse_llm_err(e) elif isinstance(e, AnthropicAPIError): err = AnthropicLLM.parse_llm_err(e) - elif isinstance(e, MistralException): + elif isinstance(e, MistralError): err = MistralLLM.parse_llm_err(e) elif isinstance(e, GoogleAPICallError): err = PaLMLLM.parse_llm_err(e) diff --git a/src/unstract/sdk/adapters/llm/mistral/src/mistral.py b/src/unstract/sdk/adapters/llm/mistral/src/mistral.py index c2e2d39..b9a5a06 100644 --- a/src/unstract/sdk/adapters/llm/mistral/src/mistral.py +++ b/src/unstract/sdk/adapters/llm/mistral/src/mistral.py @@ -4,7 +4,7 @@ from llama_index.core.llms import LLM from llama_index.llms.mistralai import MistralAI from llama_index.llms.mistralai.base import DEFAULT_MISTRALAI_MAX_TOKENS -from mistralai.exceptions import MistralException +from mistralai.models import SDKError as MistralError from unstract.sdk.adapters.exceptions import AdapterError from unstract.sdk.adapters.llm.constants import LLMKeys @@ -75,7 +75,7 @@ def get_llm_instance(self) -> LLM: raise AdapterError(str(e)) @staticmethod - def parse_llm_err(e: MistralException) -> LLMError: + def parse_llm_err(e: MistralError) -> LLMError: """Parse the error from MistralAI. Helps parse errors from MistralAI and wraps with custom exception.