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Merge pull request #7 from convergence-ai/alex/updates
Browse files- README.md +21 -14
- src/proxy_lite/app.py +1 -1
- src/proxy_lite/configs/default.yaml +1 -1
README.md
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<img src="assets/proxy-lite.png" alt="Proxy Lite logo" width="600" height="auto" style="margin-bottom: 20px;" />
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<h2>
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A mini, open-weights, version of
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</h2>
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You can directly run Proxy Lite on a task with:
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```bash
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proxy "
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```
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Alternatively you can run the local web ui with:
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We recommend hosting your own endpoint with vLLM, you can use the following command:
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```bash
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vllm serve --model convergence-ai/proxy-lite \
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--trust-remote-code \
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--enable-auto-tool-choice \
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--tool-call-parser hermes \
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export PROXY_LITE_API_BASE=http://localhost:8008/v1
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```
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Example:
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```python
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"name": "proxy_lite",
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"client": {
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"name": "convergence",
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"model_id": "convergence-ai/proxy-lite",
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"api_base": "https://convergence-ai-demo-api.hf.space/v1",
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},
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},
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</div>
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```python
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message_history = [
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}, # System prompt
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{
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"role": "user",
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"content": "
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}, # Set the task
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{
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"role": "user",
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},
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]
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```
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This would then build up the message history, alternating between the assistant (action) and the user (
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The chat template will format this automatically
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```python
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from qwen_vl_utils import process_vision_info
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from proxy_lite.tools import ReturnValueTool, BrowserTool
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from proxy_lite.serializer import OpenAICompatableSerializer
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processor = AutoProcessor.from_pretrained("convergence-ai/proxy-lite")
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tools = OpenAICompatableSerializer().serialize_tools([ReturnValueTool(), BrowserTool(session=None)])
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templated_messages = processor.apply_chat_template(
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client = OpenAI(base_url="http://convergence-ai-demo-api.hf.space/v1")
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response = client.chat.completions.create(
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model="convergence-ai/proxy-lite",
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messages=message_history,
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tools=tools,
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tool_choice="auto",
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This model has not been designed to act as a full assistant able to interact with a user, instead it acts as a tool that goes out and *autonomously* completes a task.
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As such, it will struggle with tasks that require credentials or user interaction such as actually purchasing items if you don't give all the required details in the prompt.
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```bibtex
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@article{proxy-lite,
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title={Proxy Lite - A Mini, Open-weights, Autonomous Assistant},
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<img src="assets/proxy-lite.png" alt="Proxy Lite logo" width="600" height="auto" style="margin-bottom: 20px;" />
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<h2>
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A mini, open-weights, version of <a href="https://proxy.convergence.ai">Proxy</a>.
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</h2>
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You can directly run Proxy Lite on a task with:
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```bash
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proxy "Find some markets near Kings Cross and tell me their ratings."
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```
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Alternatively you can run the local web ui with:
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We recommend hosting your own endpoint with vLLM, you can use the following command:
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```bash
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vllm serve --model convergence-ai/proxy-lite-3b \
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--trust-remote-code \
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--enable-auto-tool-choice \
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--tool-call-parser hermes \
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export PROXY_LITE_API_BASE=http://localhost:8008/v1
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```
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## Scaffolding Proxy Lite in Python
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If using the model outside the CLI or streamlit app, you can use the `Runner` class to launch the model in a web-browsing environment.
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The `RunnerConfig` is how you configure the system setup, including the model used.
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The library is designed to be modular and extendable, making it easy to swap out the environment, solver, or agent.
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Example:
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```python
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"name": "proxy_lite",
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"client": {
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"name": "convergence",
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"model_id": "convergence-ai/proxy-lite-3b",
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"api_base": "https://convergence-ai-demo-api.hf.space/v1",
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},
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},
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</div>
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Proxy Lite expects the following message format:
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```python
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message_history = [
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}, # System prompt
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{
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"role": "user",
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"content": "Find some markets near Kings Cross and tell me their ratings.",
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}, # Set the task
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{
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"role": "user",
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},
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]
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```
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This would then build up the message history, alternating between the assistant (who takes the *action*) and the user (who provides the *observation*).
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> **Context-Window Management:** When making calls to the model, all the last observations other than the current one are discarded in order to reduce the large number of image tokens required. Since the model responses include reflection on the observations and are all included in the message history, the model is still aware of the entire history when planning new actions.
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The chat template will format this automatically. You should also pass the `Tools` that the model has access to, these will define the action space available to the model. You can do this with `transformers`:
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```python
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from qwen_vl_utils import process_vision_info
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from proxy_lite.tools import ReturnValueTool, BrowserTool
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from proxy_lite.serializer import OpenAICompatableSerializer
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processor = AutoProcessor.from_pretrained("convergence-ai/proxy-lite-3b")
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tools = OpenAICompatableSerializer().serialize_tools([ReturnValueTool(), BrowserTool(session=None)])
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templated_messages = processor.apply_chat_template(
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client = OpenAI(base_url="http://convergence-ai-demo-api.hf.space/v1")
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response = client.chat.completions.create(
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model="convergence-ai/proxy-lite-3b",
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messages=message_history,
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tools=tools,
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tool_choice="auto",
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This model has not been designed to act as a full assistant able to interact with a user, instead it acts as a tool that goes out and *autonomously* completes a task.
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As such, it will struggle with tasks that require credentials or user interaction such as actually purchasing items if you don't give all the required details in the prompt.
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## Try Proxy
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Want to try out the full version of Proxy? Visit [proxy.convergence.ai](https://proxy.convergence.ai) to experience the complete, production-ready autonomous assistant with enhanced capabilities, improved reliability, and support for a wider range of tasks.
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## Citation
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```bibtex
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@article{proxy-lite,
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title={Proxy Lite - A Mini, Open-weights, Autonomous Assistant},
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src/proxy_lite/app.py
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@@ -28,7 +28,7 @@ def get_user_config(config_expander):
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"name": "proxy_lite",
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"client": {
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"name": "convergence",
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"model_id": "convergence-ai/proxy-lite",
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"api_base": "https://convergence-ai-demo-api.hf.space/v1",
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},
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},
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"name": "proxy_lite",
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"client": {
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"name": "convergence",
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"model_id": "convergence-ai/proxy-lite-3b",
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"api_base": "https://convergence-ai-demo-api.hf.space/v1",
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},
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},
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src/proxy_lite/configs/default.yaml
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name: proxy_lite
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client:
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name: convergence
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model_id: convergence-ai/proxy-lite
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api_base: https://convergence-ai-demo-api.hf.space/v1
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local_view: true
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task_timeout: 1800
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name: proxy_lite
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client:
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name: convergence
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model_id: convergence-ai/proxy-lite-3b
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api_base: https://convergence-ai-demo-api.hf.space/v1
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local_view: true
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task_timeout: 1800
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