Remove dropdowns

langchain-ai · Sep 19, 2024 · 762ae54 · 762ae54
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diff --git a/.gitignore b/.gitignore
@@ -2,6 +2,7 @@
 __pycache__/
 *.py[cod]
 *$py.class
+uv.lock
 
 # C extensions
 *.so

diff --git a/README.md b/README.md
@@ -40,17 +40,17 @@ The primary [search tool](./src/react_agent/tools.py) [^1] used is [Tavily](http
 Setup instruction auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
 -->
 
-<details>
-<summary>Setup for `model_name`</summary>
-The `llm` configuration defaults are shown below:
+### Setup Model
+
+The defaults values for `model` are shown below:
 
 ```yaml
-model_name: anthropic/claude-3-5-sonnet-20240620
+model: anthropic/claude-3-5-sonnet-20240620
 ```
 
 Follow the instructions below to get set up, or pick one of the additional options.
 
-### Anthropic Chat Models
+#### Anthropic
 
 To use Anthropic's chat models:
 
@@ -60,17 +60,7 @@ To use Anthropic's chat models:
 ```
 ANTHROPIC_API_KEY=your-api-key
 ```
-### Fireworks Chat Models
-
-To use Fireworks AI's chat models:
-
-1. Sign up for a [Fireworks AI account](https://app.fireworks.ai/signup) and obtain an API key.
-2. Add your Fireworks AI API key to your `.env` file:
-
-```
-FIREWORKS_API_KEY=your-api-key
-```
-#### OpenAI Chat Models
+#### OpenAI
 
 To use OpenAI's chat models:
 
@@ -80,7 +70,7 @@ To use OpenAI's chat models:
 OPENAI_API_KEY=your-api-key
 ```
 
-</details>
+
 
 
 
@@ -96,7 +86,7 @@ End setup instructions
 
 1. **Add new tools**: Extend the agent's capabilities by adding new tools in [tools.py](./src/react_agent/tools.py). These can be any Python functions that perform specific tasks.
 2. **Select a different model**: We default to Anthropic's Claude 3 Sonnet. You can select a compatible chat model using `provider/model-name` via configuration. Example: `openai/gpt-4-turbo-preview`.
-3. **Customize the prompt**: We provide a default system prompt in [configuration.py](./src/react_agent/configuration.py). You can easily update this via configuration in the studio.
+3. **Customize the prompt**: We provide a default system prompt in [prompts.py](./src/react_agent/prompts.py). You can easily update this via configuration in the studio.
 
 You can also quickly extend this template by:
 
@@ -122,7 +112,7 @@ Configuration auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
     "agent": {
       "type": "object",
       "properties": {
-        "model_name": {
+        "model": {
           "type": "string",
           "default": "anthropic/claude-3-5-sonnet-20240620",
           "description": "The name of the language model to use for the agent's main interactions. Should be in the form: provider/model-name.",
@@ -159,74 +149,6 @@ Configuration auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
               "value": "anthropic/claude-instant-1.2",
               "variables": "ANTHROPIC_API_KEY"
             },
-            {
-              "value": "fireworks/gemma2-9b-it",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3-70b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3-70b-instruct-hf",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3-8b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3-8b-instruct-hf",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3p1-405b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3p1-405b-instruct-long",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3p1-70b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/llama-v3p1-8b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/mixtral-8x22b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/mixtral-8x7b-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/mixtral-8x7b-instruct-hf",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/mythomax-l2-13b",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/phi-3-vision-128k-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/phi-3p5-vision-instruct",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/starcoder-16b",
-              "variables": "FIREWORKS_API_KEY"
-            },
-            {
-              "value": "fireworks/yi-large",
-              "variables": "FIREWORKS_API_KEY"
-            },
             {
               "value": "openai/gpt-3.5-turbo",
               "variables": "OPENAI_API_KEY"

diff --git a/src/react_agent/configuration.py b/src/react_agent/configuration.py
@@ -22,7 +22,7 @@ class Configuration:
         },
     )
 
-    model_name: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
+    model: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
         default="anthropic/claude-3-5-sonnet-20240620",
         metadata={
             "description": "The name of the language model to use for the agent's main interactions. "

diff --git a/src/react_agent/graph.py b/src/react_agent/graph.py
@@ -42,7 +42,7 @@ async def call_model(
     )
 
     # Initialize the model with tool binding. Change the model or add more tools here.
-    model = load_chat_model(configuration.model_name).bind_tools(TOOLS)
+    model = load_chat_model(configuration.model).bind_tools(TOOLS)
 
     # Prepare the input for the model, including the current system time
     message_value = await prompt.ainvoke(