agent_name: React + Shortlisting
version: exgentic 0.1.0 / litellm 1.79.1
developers: Exgentic Team
license: Apache-2.0
framework: Exgentic
repository: https://github.com/Exgentic/exgentic
models:
- Claude Opus 4.5
- GPT-5.2
- Gemini Pro 3
tags:
- agent
- react
- tool-calling
- general-purpose
React + Shortlisting
A general-purpose ReAct agent with tool shortlisting -- helps the agent focus on relevant tools instead of searching through everything.
Agent Details
- Name: React + Shortlisting
- Version: exgentic 0.1.0 / litellm 1.79.1
- Developers: Exgentic Team
- Framework: Exgentic
- License: Apache-2.0
Architecture
Planning
ReAct (Reasoning + Acting) loop: the agent reasons about the current state, selects an action, observes the result, and repeats.
Memory
Full conversation history within the session. No cross-session memory.
Tool Use
Function calling via LiteLLM. Before each step, a shortlisting phase narrows the available tools to the most relevant subset for the current task context. This reduces noise and improves action selection, especially in benchmarks with large action spaces.
Error Recovery
Retry on transient failures. The agent can observe error messages and adjust its approach on subsequent steps.
Subagents
None -- single-agent system.
Models
| Role | Model | Purpose |
|---|---|---|
| Main | Claude Opus 4.5 / GPT-5.2 / Gemini Pro 3 | Reasoning, action selection, tool calls |
Supported Environments
- AppWorld (app-based task completion)
- BrowseComp+ (web research)
- SWE-bench (software engineering)
- TauBench Airline, Retail, Telecom (customer service)
Evaluation Results
| Benchmark | Score (Opus 4.5) | Score (Gemini Pro 3) | Avg Cost (Opus 4.5) |
|---|---|---|---|
| AppWorld | 0.66 | 0.40 | $7.80 |
| SWE-bench | 0.49 | 0.36 | $3.64 |
| TauBench-Airline | 0.56 | 0.59 | $0.96 |
| TauBench-Retail | 0.72 | 0.72 | $1.06 |
Full results: Open Agent Leaderboard
Cost Profile
The most cost-efficient configuration in the top 5 on the leaderboard. With Gemini Pro 3, average cost per task is $0.66 -- a fraction of other top agents. Tool shortlisting reduces unnecessary tool calls, directly lowering cost.
Limitations
- No cross-session memory or learning
- Performance depends heavily on the quality of tool descriptions
- Shortlisting may occasionally filter out a relevant tool in novel contexts
How to Run
uv tool install exgentic
exgentic evaluate \
--benchmark tau2 \
--subset retail \
--agent tool_calling_with_shortlisting \
--model openai/claude-opus-4-5