> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ag2.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# autogen.agentchat.group.ContextStrLLMCondition

<h2 id="autogen.agentchat.group.ContextStrLLMCondition" class="doc doc-heading">
  <code class="doc-symbol doc-symbol-heading doc-symbol-class" />

  <span class="doc doc-object-name doc-class-name">ContextStrLLMCondition</span>
</h2>

```python theme={null}
ContextStrLLMCondition(context_str: ContextStr, **data: Any)
```

Context variable-based LLM condition.<br />This condition uses a ContextStr object with context variable placeholders that
will be substituted before being evaluated by an LLM.<br />Initialize with a context string as a positional parameter.<br />

<b>Parameters:</b>

| Name          | Description                                                                                |
| ------------- | ------------------------------------------------------------------------------------------ |
| `context_str` | **Type:** [ContextStr](/docs/api-reference/autogen/agentchat/group/context_str/ContextStr) |
| `**data`      | **Type:** Any                                                                              |

### Class Attributes

<code class="doc-symbol doc-symbol-heading doc-symbol-attribute" />

#### context\_str

<br />

<br />

<code class="doc-symbol doc-symbol-heading doc-symbol-attribute" />

#### model\_config

<br />

<br />

### Instance Methods

<code class="doc-symbol doc-symbol-heading doc-symbol-method" />

#### get\_prompt

```python theme={null}
get_prompt(
    self,
    agent: ConversableAgent,
    messages: list[dict[str, Any]]
) -> str
```

Return the prompt with context variables substituted.<br />

<b>Parameters:</b>

| Name       | Description                                                                                           |
| ---------- | ----------------------------------------------------------------------------------------------------- |
| `agent`    | The agent evaluating the condition (provides context variables)<br /><br />**Type:** ConversableAgent |
| `messages` | The conversation history (not used)<br /><br />**Type:** list\[dict\[str, typing.Any]]                |

<b>Returns:</b>

| Type | Description                                   |
| ---- | --------------------------------------------- |
| str  | The prompt with context variables substituted |

<br />