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fix: refine code order and coding style #512

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fix: refine code order and coding style #512

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11 changes: 7 additions & 4 deletions context/agent/overview.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ Context engineering is the process of designing and controlling the information
In practice, building context comes down to one question: "Which information is most likely to achieve the desired outcome?"

The context of an Agno agent consists of the following:
- **System message**: The system message is the main context that is sent to the agent, including all additional context
- **System message**: The system message is the main context that is sent to the agent, including all additional context.
- **User message**: The user message is the message that is sent to the agent.
- **Chat history**: The chat history is the history of the conversation between the agent and the user.
- **Additional input**: Any few-shot examples or other additional input that is added to the context.
Expand Down Expand Up @@ -199,6 +199,7 @@ agent = Agent(
- movies: contains information about movies from IMDB.
"""),
)

agent.print_response("What is the average rating of movies?", stream=True)
```

Expand All @@ -211,9 +212,10 @@ from agno.agent import Agent
from agno.tools.slack import SlackTools

slack_tools = SlackTools(
instructions=["Use `send_message` to send a message to the user. If the user specifies a thread, use `send_message_thread` to send a message to the thread."],
instructions=["Use `send_message` to send a message to the user. If the user specifies a thread, use `send_message_thread` to send a message to the thread."],
add_instructions=True,
)

agent = Agent(
tools=[slack_tools],
)
Expand Down Expand Up @@ -268,9 +270,9 @@ You can manually set the system message using the `system_message` parameter. Th

```python
from agno.agent import Agent
agent.print_response("What is the capital of France?")

agent = Agent(system_message="Share a 2 sentence story about")

agent.print_response("What is the capital of France?")
agent.print_response("Love in the year 12000.")
```

Expand Down Expand Up @@ -379,6 +381,7 @@ agent = Agent(
add_history_to_context=True,
max_tool_calls_from_history=3, # Keep only last 3 tool calls in context
)

agent.print_response("What's the weather in Tokyo?")
agent.print_response("What's the weather in Paris?")
agent.print_response("What's the weather in London?")
Expand Down