flow example

README.md

@@ -156,6 +156,36 @@ agent = OmniModalAgent(llm)
 
 agent.run("Create a video of a swarm of fish")
 
+```
+
+
+### `Flow` Example
+- The `Flow` is a superior iteratioin of the `LLMChain` from Langchain, our intent with `Flow` is to create the most reliable loop structure that gives the agents their "autonomy" through 3 main methods of interaction, one through user specified loops, then dynamic where the agent parses a <DONE> token, and or an interactive human input verison, or a mix of all 3. 
+```python
+
+from swarms.models import OpenAIChat
+from swarms.structs import Flow
+
+api_key = ""
+
+
+# Initialize the language model,
+# This model can be swapped out with Anthropic, ETC, Huggingface Models like Mistral, ETC
+llm = OpenAIChat(
+    openai_api_key=api_key,
+    temperature=0.5,
+)
+
+# Initialize the flow
+flow = Flow(
+    llm=llm,
+    max_loops=5,
+)
+
+out = flow.run("Generate a 10,000 word blog, say Stop when done")
+print(out)
+
+
 ```
 
 ---

flow.py

@@ -9,19 +9,13 @@ api_key = ""
 llm = OpenAIChat(
     openai_api_key=api_key,
     temperature=0.5,
-    max_tokens=100,
 )
 
 # Initialize the flow
 flow = Flow(
     llm=llm,
     max_loops=5,
-    # system_prompt=SYSTEM_PROMPT,
-    # retry_interval=1,
 )
 
 out = flow.run("Generate a 10,000 word blog, say Stop when done")
 print(out)
-
-# # Now save the flow
-# flow.save("flow.yaml")