feat: updated sdk for highflame + restructured SDK

README.md

@@ -1,12 +1,12 @@
 [![Ask DeepWiki](https://deepwiki.com/badge.svg "DeepWiki Documentation")](https://deepwiki.com/getjavelin/javelin-python)
 
-## Javelin: an Enterprise-Scale, Fast LLM Gateway/Edge
+## Highflame: Agent Security Platform SDK
 
-This is the Python client package for Javelin.
+This is the Python SDK package for Highflame.
 
-For more information about Javelin, see https://getjavelin.com
+For more information about Javelin, see https://www.highflame.com
 
-Javelin Documentation: https://docs.getjavelin.io
+Javelin Documentation: https://docs.highflame.ai
 
 ### Development
 
@@ -17,7 +17,7 @@ For local development, Please change `version = "RELEASE_VERSION"` with any sema
 ### Installation
 
 ```python
-  pip install javelin-sdk
+  pip install highflame
 ```
 
 ### Quick Start Guide
@@ -58,51 +58,12 @@ poetry install
 
 ```bash
 # Uninstall any existing version
-pip uninstall javelin-sdk -y
+pip uninstall highflame -y
 
 # Build the package
 poetry build
 
 # Install the newly built package
-pip install dist/javelin_sdk-<version>-py3-none-any.whl
+pip install dist/highflame-<version>-py3-none-any.whl
 ```
 
-## [Universal Endpoints](https://docs.getjavelin.io/docs/javelin-core/integration#unified-endpoints)
-
-Javelin provides universal endpoints that allow you to use a consistent interface across different LLM providers. Here are the main patterns:
-
-#### Azure OpenAI
-- [Basic Azure OpenAI integration](https://github.com/highflame-ai/javelin-python/blob/main/examples/azure-openai/azure-universal.py)
-- [Universal endpoint implementation](https://github.com/highflame-ai/javelin-python/blob/main/examples/azure-openai/javelin_azureopenai_univ_endpoint.py)
-- [OpenAI-compatible interface](https://github.com/highflame-ai/javelin-python/blob/main/examples/azure-openai/openai_compatible_univ_azure.py)
-
-#### Bedrock
-- [Basic Bedrock integration](https://github.com/highflame-ai/javelin-python/blob/main/examples/bedrock/bedrock_client_universal.py)
-- [Universal endpoint implementation](https://github.com/highflame-ai/javelin-python/blob/main/examples/bedrock/javelin_bedrock_univ_endpoint.py)
-- [OpenAI-compatible interface](https://github.com/highflame-ai/javelin-python/blob/main/examples/bedrock/openai_compatible_univ_bedrock.py)
-
-#### Gemini
-- [Basic Gemini integration](https://github.com/highflame-ai/javelin-python/blob/main/examples/gemini/gemini-universal.py)
-- [Universal endpoint implementation](https://github.com/highflame-ai/javelin-python/blob/main/examples/gemini/javelin_gemini_univ_endpoint.py)
-- [OpenAI-compatible interface](https://github.com/highflame-ai/javelin-python/blob/main/examples/gemini/openai_compatible_univ_gemini.py)
-
-### Agent Examples
-- [CrewAI integration](https://github.com/highflame-ai/javelin-python/blob/main/examples/agents/crewai_javelin.ipynb)
-- [LangGraph integration](https://github.com/highflame-ai/javelin-python/blob/main/examples/agents/langgraph_javelin.ipynb)
-
-### Basic Examples
-- [Asynchronous example](https://github.com/highflame-ai/javelin-python/blob/main/examples/route_examples/aexample.py)
-- [Synchronous example](https://github.com/highflame-ai/javelin-python/blob/main/examples/route_examples/example.py)
-- [Drop-in replacement example](https://github.com/highflame-ai/javelin-python/blob/main/examples/route_examples/drop_in_replacement.py)
-
-### Advanced Examples
-- [Document processing](https://github.com/highflame-ai/javelin-python/blob/main/examples/gemini/document_processing.py)
-- [RAG implementation](https://github.com/highflame-ai/javelin-python/blob/main/examples/rag/javelin_rag_embeddings_demo.ipynb)
-
-## Additional Integration Patterns
-
-For more detailed examples and integration patterns, check out:
-
-- [Azure OpenAI Integration](https://docs.getjavelin.io/docs/javelin-core/integration#2-azure-openai-api-endpoints)
-- [AWS Bedrock Integration](https://docs.getjavelin.io/docs/javelin-core/integration#3-aws-bedrock-api-endpoints)
-- [Supported Language Models](https://docs.getjavelin.io/docs/javelin-core/supported-llms)

v2/CLI_PYPROJECT.toml

@@ -0,0 +1,35 @@
+# This file shows what the future CLI-only package pyproject.toml would look like
+# Once CLI is separated into its own package: highflame-cli
+# This serves as a reference for the CLI package separation plan
+
+[tool.poetry]
+name = "highflame-cli"
+version = "2.0.0"
+description = "Command-line interface for Highflame - LLM Gateway Management"
+authors = ["Sharath Rajasekar <sharath@highflame.com>"]
+readme = "README.md"
+license = "Apache-2.0"
+homepage = "https://highflame.com"
+repository = "https://github.com/highflame-ai/highflame-cli"
+packages = [
+    { include = "highflame_cli" },
+]
+
+[tool.poetry.scripts]
+highflame = "highflame_cli.cli:main"
+
+[tool.poetry.dependencies]
+python = "^3.9"
+highflame = "^2.0.0"
+requests = "^2.32.3"
+
+[tool.poetry.group.dev.dependencies]
+black = "24.3.0"
+flake8 = "^7.3.0"
+pre-commit = "^3.3.1"
+pytest = "^8.3.5"
+pytest-mock = "^3.10.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"