[docs]

.env.example

@@ -2,22 +2,3 @@ WORKSPACE_DIR="agent_workspace"
 SWARMS_API_KEY=""
 USE_TELEMETRY=True
 OPENAI_API_KEY="sk-"
-GOOGLE_API_KEY=""
-AI21_API_KEY="your_api_key_here"
-COHERE_API_KEY="your_api_key_here"
-ALEPHALPHA_API_KEY="your_api_key_here"
-HUGGINFACEHUB_API_KEY="your_api_key_here"
-EVAL_PORT=8000
-MODEL_NAME="gpt-4"
-USE_GPU=True
-PLAYGROUND_DIR="examples"
-LOG_LEVEL="INFO"
-BOT_NAME="Orca"
-HF_API_KEY="your_huggingface_api_key_here"
-AGENTOPS_API_KEY=""
-ANTHROPIC_API_KEY="your_anthropic_api_key"
-AZURE_OPENAI_ENDPOINT="your_azure_openai_endpoint"
-AZURE_OPENAI_DEPLOYMENT="your_azure_openai_deployment"
-OPENAI_API_VERSION="your_openai_api_version"
-AZURE_OPENAI_API_KEY="your_azure_openai_api_key"
-AZURE_OPENAI_AD_TOKEN="your_azure_openai_ad_token"

docs/swarms/examples/deepseek.md

@@ -25,3 +25,27 @@ agent = Agent(
 # Run a query
 agent.run("What are the components of a startup's stock incentive equity plan?")
 ```
+
+## R1 
+
+This is a simple example of how to use the DeepSeek Reasoner model otherwise known as R1.
+
+```python
+
+import os
+from swarms import Agent
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Initialize the agent with ChromaDB memory
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    model_name="deepseek/deepseek-reasoner",
+    system_prompt="Agent system prompt here",
+    agent_description="Agent performs financial analysis.",
+)
+
+# Run a query
+agent.run("What are the components of a startup's stock incentive equity plan?")
+```

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "7.0.0"
+version = "7.0.1"
 description = "Swarms - TGSC"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
@@ -59,6 +59,7 @@ classifiers = [
 python = ">=3.10,<4.0"
 # torch = ">=2.1.1,<3.0"
 # transformers = ">= 4.39.0, <5.0.0"
+setuptools = "*"
 asyncio = ">=3.4.3,<4.0"
 toml = "*"
 pypdf = "5.1.0"