diff --git a/.github/workflows/test_bedrock_api_key.yml b/.github/workflows/test_bedrock_api_key.yml new file mode 100644 index 000000000..3f5ea94b3 --- /dev/null +++ b/.github/workflows/test_bedrock_api_key.yml @@ -0,0 +1,28 @@ +name: test | bedrock | api key + +on: + workflow_call: + +jobs: + test-bedrock-api-key: + name: Run Bedrock API Key Test + runs-on: ubuntu-22.04 + steps: + - name: Check out repository + uses: actions/checkout@v4 + + - name: Cognee Setup + uses: ./.github/actions/cognee_setup + with: + python-version: '3.11.x' + + - name: Run Bedrock API Key Test + env: + LLM_PROVIDER: "bedrock" + LLM_API_KEY: ${{ secrets.BEDROCK_API_KEY }} + LLM_MODEL: "us.anthropic.claude-3-5-sonnet-20241022-v2:0" + AWS_REGION_NAME: "us-east-1" + EMBEDDING_PROVIDER: "bedrock" + EMBEDDING_MODEL: "amazon.titan-embed-text-v1" + EMBEDDING_DIMENSIONS: "1536" + run: poetry run python ./examples/python/simple_example.py diff --git a/.github/workflows/test_bedrock_aws_credentials.yml b/.github/workflows/test_bedrock_aws_credentials.yml new file mode 100644 index 000000000..c086dceb3 --- /dev/null +++ b/.github/workflows/test_bedrock_aws_credentials.yml @@ -0,0 +1,29 @@ +name: test | bedrock | aws credentials + +on: + workflow_call: + +jobs: + test-bedrock-aws-credentials: + name: Run Bedrock AWS Credentials Test + runs-on: ubuntu-22.04 + steps: + - name: Check out repository + uses: actions/checkout@v4 + + - name: Cognee Setup + uses: ./.github/actions/cognee_setup + with: + python-version: '3.11.x' + + - name: Run Bedrock AWS Credentials Test + env: + LLM_PROVIDER: "bedrock" + LLM_MODEL: "us.anthropic.claude-3-5-sonnet-20240620-v1:0" + AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} + AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + AWS_REGION_NAME: "us-east-1" + EMBEDDING_PROVIDER: "cohere" + EMBEDDING_MODEL: "cohere.embed-english-v3" + EMBEDDING_DIMENSIONS: "1024" + run: poetry run python ./examples/python/simple_example.py diff --git a/.github/workflows/test_bedrock_aws_profile.yml b/.github/workflows/test_bedrock_aws_profile.yml new file mode 100644 index 000000000..aa15074e1 --- /dev/null +++ b/.github/workflows/test_bedrock_aws_profile.yml @@ -0,0 +1,37 @@ +name: test | bedrock | aws profile + +on: + workflow_call: + +jobs: + test-bedrock-aws-profile: + name: Run Bedrock AWS Profile Test + runs-on: ubuntu-22.04 + steps: + - name: Check out repository + uses: actions/checkout@v4 + + - name: Cognee Setup + uses: ./.github/actions/cognee_setup + with: + python-version: '3.11.x' + + - name: Configure AWS Profile + run: | + mkdir -p ~/.aws + cat > ~/.aws/credentials << EOF + [bedrock-test] + aws_access_key_id = ${{ secrets.AWS_ACCESS_KEY_ID }} + aws_secret_access_key = ${{ secrets.AWS_SECRET_ACCESS_KEY }} + EOF + + - name: Run Bedrock AWS Profile Test + env: + LLM_PROVIDER: "bedrock" + LLM_MODEL: "us.anthropic.claude-3-5-haiku-20241022-v1:0" + AWS_PROFILE_NAME: "bedrock-test" + AWS_REGION_NAME: "us-east-1" + EMBEDDING_PROVIDER: "bedrock" + EMBEDDING_MODEL: "amazon.titan-embed-text-v2:0" + EMBEDDING_DIMENSIONS: "1024" + run: poetry run python ./examples/python/simple_example.py diff --git a/.github/workflows/test_suites.yml b/.github/workflows/test_suites.yml index d34523ce1..78b878931 100644 --- a/.github/workflows/test_suites.yml +++ b/.github/workflows/test_suites.yml @@ -110,6 +110,24 @@ jobs: uses: ./.github/workflows/test_gemini.yml secrets: inherit + bedrock-tests: + name: Bedrock Tests + needs: [basic-tests, e2e-tests] + uses: ./.github/workflows/test_bedrock_api_key.yml + secrets: inherit + + bedrock-aws-credentials-tests: + name: Bedrock AWS Credentials Tests + needs: [basic-tests, e2e-tests] + uses: ./.github/workflows/test_bedrock_aws_credentials.yml + secrets: inherit + + bedrock-aws-profile-tests: + name: Bedrock AWS Profile Tests + needs: [basic-tests, e2e-tests] + uses: ./.github/workflows/test_bedrock_aws_profile.yml + secrets: inherit + # Ollama tests moved to the end ollama-tests: name: Ollama Tests @@ -143,6 +161,9 @@ jobs: db-examples-tests, mcp-test, gemini-tests, + bedrock-tests, + bedrock-aws-credentials-tests, + bedrock-aws-profile-tests, ollama-tests, relational-db-migration-tests, docker-compose-test, @@ -163,6 +184,9 @@ jobs: "${{ needs.db-examples-tests.result }}" == "success" && "${{ needs.relational-db-migration-tests.result }}" == "success" && "${{ needs.gemini-tests.result }}" == "success" && + "${{ needs.bedrock-tests.result }}" == "success" && + "${{ needs.bedrock-aws-credentials-tests.result }}" == "success" && + "${{ needs.bedrock-aws-profile-tests.result }}" == "success" && "${{ needs.docker-compose-test.result }}" == "success" && "${{ needs.docker-ci-test.result }}" == "success" && "${{ needs.ollama-tests.result }}" == "success" ]]; then diff --git a/README.md b/README.md index 3486d2ce9..70422bc6a 100644 --- a/README.md +++ b/README.md @@ -122,6 +122,16 @@ os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY" ``` You can also set the variables by creating .env file, using our template. + +**Supported LLM Providers:** OpenAI (default), Anthropic, Gemini, Ollama, AWS Bedrock + +**For AWS Bedrock:** Set `LLM_PROVIDER="bedrock"` and use one of three authentication methods: +- API Key: `LLM_API_KEY="your_bedrock_api_key"` +- AWS Credentials: `AWS_ACCESS_KEY_ID` + `AWS_SECRET_ACCESS_KEY` (+ `AWS_SESSION_TOKEN` if needed) +- AWS Profile: `AWS_PROFILE_NAME="your_profile"` + +Use an [inference profile](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModel.html#API_runtime_InvokeModel_Example_5:~:text=Use%20an%20inference%20profile%20in%20model%20invocation) for the model IDs. This usually means appending `us.*` (or other region) to the model ID (e.g., `us.anthropic.claude-3-5-sonnet-20241022-v2:0`). See [AWS Bedrock models](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html). + To use different LLM providers, for more info check out our documentation diff --git a/cognee-starter-kit/README.md b/cognee-starter-kit/README.md index c265e278e..5a9369b89 100644 --- a/cognee-starter-kit/README.md +++ b/cognee-starter-kit/README.md @@ -25,6 +25,14 @@ uv sync ## Setup LLM Add environment variables to `.env` file. In case you choose to use OpenAI provider, add just the model and api_key. + +**Supported LLM Providers:** +- OpenAI (default) +- Anthropic +- Gemini +- Ollama +- AWS Bedrock + ``` LLM_PROVIDER="" LLM_MODEL="" @@ -39,6 +47,36 @@ EMBEDDING_API_KEY="" EMBEDDING_API_VERSION="" ``` +**For AWS Bedrock, you have three authentication options:** + +1. **API Key (Bearer Token):** +``` +LLM_PROVIDER="bedrock" +LLM_API_KEY="your_bedrock_api_key" +LLM_MODEL="us.anthropic.claude-3-5-sonnet-20241022-v2:0" +AWS_REGION_NAME="us-east-1" +``` + +2. **AWS Credentials:** +``` +LLM_PROVIDER="bedrock" +LLM_MODEL="us.anthropic.claude-3-5-sonnet-20241022-v2:0" +AWS_ACCESS_KEY_ID="your_aws_access_key" +AWS_SECRET_ACCESS_KEY="your_aws_secret_key" +[if needed] AWS_SESSION_TOKEN="your_session_token" +AWS_REGION_NAME="us-east-1" +``` + +3. **AWS Profile:** +``` +LLM_PROVIDER="bedrock" +LLM_MODEL="us.anthropic.claude-3-5-sonnet-20241022-v2:0" +AWS_PROFILE_NAME="your_aws_profile" +AWS_REGION_NAME="us-east-1" +``` + +**Note:** For Bedrock models, use an [inference profile](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModel.html#API_runtime_InvokeModel_Example_5:~:text=Use%20an%20inference%20profile%20in%20model%20invocation) for `LLM_MODEL`. This usually means appending `us.*` (or other region) to the model ID (e.g., `us.anthropic.claude-3-5-sonnet-20241022-v2:0`). See [AWS Bedrock models](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) for available models. + Activate the Python environment: ``` source .venv/bin/activate diff --git a/cognee/api/v1/add/add.py b/cognee/api/v1/add/add.py index 7daaaf1dd..01c58a134 100644 --- a/cognee/api/v1/add/add.py +++ b/cognee/api/v1/add/add.py @@ -127,7 +127,7 @@ async def add( - LLM_API_KEY: API key for your LLM provider (OpenAI, Anthropic, etc.) Optional: - - LLM_PROVIDER: "openai" (default), "anthropic", "gemini", "ollama" + - LLM_PROVIDER: "openai" (default), "anthropic", "gemini", "ollama", "bedrock" - LLM_MODEL: Model name (default: "gpt-4o-mini") - DEFAULT_USER_EMAIL: Custom default user email - DEFAULT_USER_PASSWORD: Custom default user password diff --git a/cognee/api/v1/search/search.py b/cognee/api/v1/search/search.py index 66ce48cc2..c13d1c366 100644 --- a/cognee/api/v1/search/search.py +++ b/cognee/api/v1/search/search.py @@ -154,7 +154,7 @@ async def search( - LLM_API_KEY: API key for your LLM provider Optional: - - LLM_PROVIDER, LLM_MODEL: Configure LLM for search responses + - LLM_PROVIDER, LLM_MODEL: Configure LLM for search responses (supports: openai, anthropic, gemini, ollama, bedrock) - VECTOR_DB_PROVIDER: Must match what was used during cognify - GRAPH_DATABASE_PROVIDER: Must match what was used during cognify diff --git a/cognee/infrastructure/llm/config.py b/cognee/infrastructure/llm/config.py index f31aada33..a6acb647d 100644 --- a/cognee/infrastructure/llm/config.py +++ b/cognee/infrastructure/llm/config.py @@ -27,6 +27,12 @@ class LLMConfig(BaseSettings): - embedding_rate_limit_enabled - embedding_rate_limit_requests - embedding_rate_limit_interval + - aws_access_key_id (Bedrock) + - aws_secret_access_key (Bedrock) + - aws_session_token (Bedrock) + - aws_region_name (Bedrock) + - aws_profile_name (Bedrock) + - aws_bedrock_runtime_endpoint (Bedrock) Public methods include: - ensure_env_vars_for_ollama @@ -63,6 +69,14 @@ class LLMConfig(BaseSettings): fallback_endpoint: str = "" fallback_model: str = "" + # AWS Bedrock configuration + aws_access_key_id: Optional[str] = None + aws_secret_access_key: Optional[str] = None + aws_session_token: Optional[str] = None + aws_region_name: str = "us-east-1" + aws_profile_name: Optional[str] = None + aws_bedrock_runtime_endpoint: Optional[str] = None + baml_registry: ClassVar[ClientRegistry] = ClientRegistry() model_config = SettingsConfigDict(env_file=".env", extra="allow") diff --git a/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/__init__.py b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/__init__.py new file mode 100644 index 000000000..6fb964a82 --- /dev/null +++ b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/__init__.py @@ -0,0 +1,6 @@ +"""Bedrock LLM adapter module.""" + +from .adapter import BedrockAdapter + +__all__ = ["BedrockAdapter"] + diff --git a/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/adapter.py b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/adapter.py new file mode 100644 index 000000000..868fe51b8 --- /dev/null +++ b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/bedrock/adapter.py @@ -0,0 +1,161 @@ +import litellm +import instructor +from typing import Type, Optional +from pydantic import BaseModel +from litellm.exceptions import ContentPolicyViolationError +from instructor.exceptions import InstructorRetryException + +from cognee.exceptions import InvalidValueError +from cognee.infrastructure.llm.LLMGateway import LLMGateway +from cognee.infrastructure.llm.structured_output_framework.litellm_instructor.llm.llm_interface import ( + LLMInterface, +) +from cognee.infrastructure.llm.exceptions import ContentPolicyFilterError +from cognee.infrastructure.files.utils.open_data_file import open_data_file +from cognee.infrastructure.llm.structured_output_framework.litellm_instructor.llm.rate_limiter import ( + rate_limit_async, + rate_limit_sync, + sleep_and_retry_async, + sleep_and_retry_sync, +) +from cognee.modules.observability.get_observe import get_observe + +observe = get_observe() + + +class BedrockAdapter(LLMInterface): + """ + Adapter for AWS Bedrock API with support for three authentication methods: + 1. API Key (Bearer Token) + 2. AWS Credentials (access key + secret key) + 3. AWS Profile (boto3 credential chain) + """ + + name = "Bedrock" + model: str + api_key: str + aws_access_key_id: str + aws_secret_access_key: str + aws_region_name: str + aws_profile_name: str + + MAX_RETRIES = 5 + + def __init__( + self, + model: str, + api_key: str = None, + aws_access_key_id: str = None, + aws_secret_access_key: str = None, + aws_session_token: str = None, + aws_region_name: str = "us-east-1", + aws_profile_name: str = None, + aws_bedrock_runtime_endpoint: str = None, + max_tokens: int = 16384, + streaming: bool = False, + ): + self.aclient = instructor.from_litellm(litellm.acompletion) + self.client = instructor.from_litellm(litellm.completion) + self.model = model + self.api_key = api_key + self.aws_access_key_id = aws_access_key_id + self.aws_secret_access_key = aws_secret_access_key + self.aws_session_token = aws_session_token + self.aws_region_name = aws_region_name + self.aws_profile_name = aws_profile_name + self.aws_bedrock_runtime_endpoint = aws_bedrock_runtime_endpoint + self.max_tokens = max_tokens + self.streaming = streaming + + def _create_bedrock_request( + self, text_input: str, system_prompt: str, response_model: Type[BaseModel] + ) -> dict: + """Create Bedrock request with authentication and enhanced JSON formatting.""" + enhanced_system_prompt = f"""{system_prompt} + +IMPORTANT: You must respond with valid JSON only. Do not include any text before or after the JSON. The response must be a valid JSON object that can be parsed directly.""" + + request_params = { + "model": self.model, + "custom_llm_provider": "bedrock", + "drop_params": True, + "messages": [ + {"role": "user", "content": text_input}, + {"role": "system", "content": enhanced_system_prompt}, + ], + "response_model": response_model, + "max_retries": self.MAX_RETRIES, + "max_tokens": self.max_tokens, + "stream": self.streaming, + } + + # Add authentication parameters + if self.api_key: + request_params["api_key"] = self.api_key + elif self.aws_access_key_id and self.aws_secret_access_key: + request_params["aws_access_key_id"] = self.aws_access_key_id + request_params["aws_secret_access_key"] = self.aws_secret_access_key + if self.aws_session_token: + request_params["aws_session_token"] = self.aws_session_token + elif self.aws_profile_name: + request_params["aws_profile_name"] = self.aws_profile_name + + # Add optional parameters + if self.aws_region_name: + request_params["aws_region_name"] = self.aws_region_name + if self.aws_bedrock_runtime_endpoint: + request_params["aws_bedrock_runtime_endpoint"] = self.aws_bedrock_runtime_endpoint + + return request_params + + @observe(as_type="generation") + @sleep_and_retry_async() + @rate_limit_async + async def acreate_structured_output( + self, text_input: str, system_prompt: str, response_model: Type[BaseModel] + ) -> BaseModel: + """Generate structured output from AWS Bedrock API.""" + + try: + request_params = self._create_bedrock_request(text_input, system_prompt, response_model) + return await self.aclient.chat.completions.create(**request_params) + + except ( + ContentPolicyViolationError, + InstructorRetryException, + ) as error: + if ( + isinstance(error, InstructorRetryException) + and "content management policy" not in str(error).lower() + ): + raise error + + raise ContentPolicyFilterError( + f"The provided input contains content that is not aligned with our content policy: {text_input}" + ) + + @observe + @sleep_and_retry_sync() + @rate_limit_sync + def create_structured_output( + self, text_input: str, system_prompt: str, response_model: Type[BaseModel] + ) -> BaseModel: + """Generate structured output from AWS Bedrock API (synchronous).""" + + request_params = self._create_bedrock_request(text_input, system_prompt, response_model) + return self.client.chat.completions.create(**request_params) + + def show_prompt(self, text_input: str, system_prompt: str) -> str: + """Format and display the prompt for a user query.""" + if not text_input: + text_input = "No user input provided." + if not system_prompt: + raise InvalidValueError(message="No system prompt path provided.") + system_prompt = LLMGateway.read_query_prompt(system_prompt) + + formatted_prompt = ( + f"""System Prompt:\n{system_prompt}\n\nUser Input:\n{text_input}\n""" + if system_prompt + else None + ) + return formatted_prompt diff --git a/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/get_llm_client.py b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/get_llm_client.py index 22d101077..0ade7a292 100644 --- a/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/get_llm_client.py +++ b/cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/get_llm_client.py @@ -20,6 +20,7 @@ class LLMProvider(Enum): - ANTHROPIC: Represents the Anthropic provider. - CUSTOM: Represents a custom provider option. - GEMINI: Represents the Gemini provider. + - BEDROCK: Represents the AWS Bedrock provider. """ OPENAI = "openai" @@ -27,6 +28,7 @@ class LLMProvider(Enum): ANTHROPIC = "anthropic" CUSTOM = "custom" GEMINI = "gemini" + BEDROCK = "bedrock" def get_llm_client(): @@ -137,5 +139,23 @@ def get_llm_client(): streaming=llm_config.llm_streaming, ) + elif provider == LLMProvider.BEDROCK: + from cognee.infrastructure.llm.structured_output_framework.litellm_instructor.llm.bedrock.adapter import ( + BedrockAdapter, + ) + + return BedrockAdapter( + model=llm_config.llm_model, + api_key=llm_config.llm_api_key, + aws_access_key_id=llm_config.aws_access_key_id, + aws_secret_access_key=llm_config.aws_secret_access_key, + aws_session_token=llm_config.aws_session_token, + aws_region_name=llm_config.aws_region_name, + aws_profile_name=llm_config.aws_profile_name, + aws_bedrock_runtime_endpoint=llm_config.aws_bedrock_runtime_endpoint, + max_tokens=max_tokens, + streaming=llm_config.llm_streaming, + ) + else: raise InvalidValueError(message=f"Unsupported LLM provider: {provider}") diff --git a/cognee/modules/settings/get_settings.py b/cognee/modules/settings/get_settings.py index fa7dfc2df..71017350f 100644 --- a/cognee/modules/settings/get_settings.py +++ b/cognee/modules/settings/get_settings.py @@ -15,10 +15,11 @@ class ModelName(Enum): ollama = "ollama" anthropic = "anthropic" gemini = "gemini" + bedrock = "bedrock" class LLMConfig(BaseModel): - api_key: str + api_key: Optional[str] model: str provider: str endpoint: Optional[str] @@ -72,6 +73,10 @@ def get_settings() -> SettingsDict: "value": "gemini", "label": "Gemini", }, + { + "value": "bedrock", + "label": "AWS Bedrock", + }, ] return SettingsDict.model_validate( @@ -134,6 +139,20 @@ def get_settings() -> SettingsDict: "label": "Gemini 2.0 Flash", }, ], + "bedrock": [ + { + "value": "us.anthropic.claude-3-5-sonnet-20241022-v2:0", + "label": "Claude 3.5 Sonnet", + }, + { + "value": "us.anthropic.claude-3-5-haiku-20241022-v1:0", + "label": "Claude 3.5 Haiku", + }, + { + "value": "us.anthropic.claude-3-5-sonnet-20240620-v1:0", + "label": "Claude 3.5 Sonnet (June)", + }, + ], }, }, vector_db={ diff --git a/pyproject.toml b/pyproject.toml index 61076e86b..e6ad0eff4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,7 +34,7 @@ dependencies = [ "sqlalchemy>=2.0.39,<3.0.0", "aiosqlite>=0.20.0,<1.0.0", "tiktoken>=0.8.0,<1.0.0", - "litellm>=1.71.0, <2.0.0", + "litellm>=1.76.0, <2.0.0", "instructor>=1.9.1,<2.0.0", "langfuse>=2.32.0,<3", "filetype>=1.2.0,<2.0.0", diff --git a/uv.lock b/uv.lock index 137263188..963c6805e 100644 --- a/uv.lock +++ b/uv.lock @@ -1060,7 +1060,7 @@ requires-dist = [ { name = "langfuse", specifier = ">=2.32.0,<3" }, { name = "langsmith", marker = "extra == 'langchain'", specifier = ">=0.2.3,<1.0.0" }, { name = "limits", specifier = ">=4.4.1,<5" }, - { name = "litellm", specifier = ">=1.71.0,<2.0.0" }, + { name = "litellm", specifier = ">=1.76.0,<2.0.0" }, { name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.11,<0.13" }, { name = "matplotlib", specifier = ">=3.8.3,<4" }, { name = "mistral-common", marker = "extra == 'mistral'", specifier = ">=1.5.2,<2" }, @@ -3552,7 +3552,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.75.8" +version = "1.76.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohttp" }, @@ -3567,9 +3567,9 @@ dependencies = [ { name = "tiktoken" }, { name = "tokenizers" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/8d/4e/48e3d6de19afe713223e3bc7009a2003501420de2a5d823c569cefbd9731/litellm-1.75.8.tar.gz", hash = "sha256:92061bd263ff8c33c8fff70ba92cd046adb7ea041a605826a915d108742fe59e", size = 10140384, upload-time = "2025-08-16T21:42:24.23Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c9/e8/47c791c3d2cb4397ddece90840aecfc6cdc4a003f039dde42d7c861f4709/litellm-1.76.0.tar.gz", hash = "sha256:d26d12333135edd72af60e0e310284dac3b079f4d7c47c79dfbb2430b9b4b421", size = 10170569, upload-time = "2025-08-24T05:14:01.176Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/5e/82/c4d00fbeafd93c00dab6ea03f33cadd6a97adeb720ba1d89fc319e5cb10b/litellm-1.75.8-py3-none-any.whl", hash = "sha256:0bf004488df8506381ec6e35e1486e2870e8d578a7c3f2427cd497558ce07a2e", size = 8916305, upload-time = "2025-08-16T21:42:21.387Z" }, + { url = "https://files.pythonhosted.org/packages/86/f2/891b4b6c09021046d7f5bcff57178b18f352a67b032d35cc693d79b38620/litellm-1.76.0-py3-none-any.whl", hash = "sha256:357464242fc1eeda384810c9e334e48ad67a50ecd30cf61e86c15f89e2f2e0b4", size = 8953112, upload-time = "2025-08-24T05:13:58.642Z" }, ] [[package]]