Reev ๐ชธ: Production-Ready Framework for Solana LLM Agent Evaluation
reev is a mature, production-ready Rust framework for rigorously evaluating Solana-native LLM agents. After extensive development and testing, the framework now provides a complete, reliable platform for assessing autonomous agents in realistic blockchain environments.
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ TUI โโโโโถโ reev-runner โโโโโถโ reev-agent โโโโโถโ AI Agent โโโโโถโ Jupiter โโโโโถโ Transaction โโโโโถโ Score โ
โ (Cockpit) โ โ (Orchestrator)โ โ (Service) โ โ (LLM/GPT/ZAI)โ โ SDK โ โ Execution โ โ Calculation โ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ โ โ โ โ โ โ
โ โ โ โ โ โ โ
โผ โผ โผ โผ โผ โผ โผ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ Interactive โ โ Dependency โ โ OpenTelemetryโ โ Tool Calling โ โ Protocol โ โ Surfpool โ โ 75% Inst + โ
โ Terminal โ โ Management โ โ Tracing โ โ & Reasoning โ โ Handler โ โ Simulation โ โ 25% On-Chain โ
โ Display โ โ (Agent/Pool) โ โ & Logging โ โ (Rig) โ โ (reev-tools)โ โ (Mock RPC) โ โ Weighting โ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ Web UI โโโโโถโ reev-api โโโโโถโ reev-runner โโโโโถโ reev-agent โโโโโถโ AI Agent โโโโโถโ Jupiter โโโโโถโ Transaction โ
โ (Browser) โ โ (REST API) โ โ (Orchestrator)โ โ (Service) โ โ (LLM/GPT/ZAI)โ โ SDK โ โ Execution โ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ โ โ โ โ โ โ
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โผ โผ โผ โผ โผ โผ โผ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โ HTTP/HTTPS โ โ Database โ โ Dependency โ โ OpenTelemetryโ โ Tool Calling โ โ Protocol โ โ Surfpool โ
โ Requests โ โ Persistence โ โ Management โ โ Tracing โ โ & Reasoning โ โ Handler โ โ Simulation โ
โ (JSON) โ โ (Sessions) โ โ (Agent/Pool) โ โ & Logging โ โ (Rig) โ โ (reev-tools)โ โ (Mock RPC) โ
โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ENTRY POINTS โ
โโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ reev-tui โ reev-api โ reev-runner โ
โ (Interactive UI) โ (Web REST API) โ (CLI Orchestrator) โ
โโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ โ
โ โ โ
โผ โผ โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ CORE RUNNER โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ reev-runner โ
โ โข Dependency Management (Agent + Surfpool) โ
โ โข Benchmark Execution & Session Logging โ
โ โข Flow Orchestration (Multi-step) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
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โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ AGENT SERVICE โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ reev-agent โ
โ โข LLM Routing (OpenAI/GLM/Local/ZAI) โ
โ โข Tool Provisioning (Jupiter, Native, SPL) โ
โ โข OpenTelemetry Integration & Flow Tracking โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PROTOCOL LAYER โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ reev-tools โ reev-protocols โ Jupiter SDK โ surfpool โ
โ โข Jupiter Swap/Lend/Earn Operations โ
โ โข SPL Token Operations โ
โ โข Native SOL Transfers โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
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โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ EXECUTION & SCORING โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ surfpool โ SolanaEnv โ reev-lib (Scoring) โ Database โ
โ โข Mainnet Fork Simulation โ
โ โข Transaction Execution & State Management โ
โ โข Two-Tier Scoring (75% Instruction + 25% On-Chain) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
The framework achieves 100% success rates across all benchmark categories:
- ๐ Real Jupiter Integration: Full swap, lending, mint/redeem operations with Jupiter SDK
- ๐ค Advanced Agent Support: Both deterministic (ground truth) and AI agents working perfectly
- ๐ Multi-Step Workflows: Complex DeFi flows with step-by-step orchestration (200-series)
- ๐ Comprehensive Scoring: Granular instruction quality evaluation + on-chain execution metrics
- ๐ฎ Professional Tooling: Interactive TUI cockpit, database persistence, detailed logging
- ๐ฌ Real-World Testing: Mainnet fork validation with actual deployed programs
- โ Scoring System Validation: Complete test suite covering 0%, 50%, 75%, and 100% score scenarios
- ๐ Flow Support: Step-by-step flow execution with proper transaction isolation
- ๐ OpenTelemetry Integration: Automatic tool call tracking with Mermaid diagram generation
The framework operates on surfpool, a high-performance in-memory fork of Solana mainnet, providing:
- ๐ Real-World Logic: Agents interact with actual deployed programs (Jupiter, SPL Token, etc.)
- ๐ Controlled Environment: Precise state management via RPC cheat codes for reproducible testing
- โก High Performance: In-memory execution with fast state manipulation and transaction simulation
- ๐ Hermetic Testing: Every test run starts from identical, controlled initial conditions
- Reproducibility: The primary goal. Every test run is hermetic, guaranteeing that a given benchmark will produce the exact same result every time.
- Service-Oriented Environment: The Solana test validator (
surfpool) is treated as a managed, external service that the environment connects to and configures via RPC. This ensures a clean architectural boundary and prevents dependency conflicts. - Gymnasium-Inspired API: The agent-environment interaction is modeled via a standard Rust
trait(GymEnv) inspired by the Gymnasium API, promoting a clear separation of concerns. - OpenTelemetry Observability: Automatic tool call extraction from rig's OpenTelemetry traces for flow visualization and debugging.
-
reev-lib(Core Library):SolanaEnv: A custom, hermetic evaluation environment that connects to an externalsurfpoolprocess. It handles state setup, transaction execution, and observation generation.- Agent Interface: Defines a simple
Agenttrait and provides anLlmAgentthat can reason about prompts. - Benchmark Structs: Rust types that define the structure of a benchmark YAML file, enabling strongly-typed parsing.
-
reev-runner(CLI Orchestrator):- The command-line tool for loading and running benchmarks.
- Orchestrates the entire evaluation loop, from setting up the environment to calculating metrics and reporting results.
-
reev-agent(LLM Service):- A standalone server that exposes an LLM's reasoning capabilities over an API.
- Can be configured to use different models (local, Gemini, GLM, etc.) and includes a deterministic agent for generating ground-truth instructions.
- Features OpenTelemetry integration for automatic tool call tracking and Mermaid diagram generation.
-
reev-api(Web API & Flow Visualization):- RESTful API for benchmark execution and flow diagram generation.
- Automatic tool call extraction from OpenTelemetry traces.
- Mermaid diagram generation for visualizing agent execution flows.
-
Benchmark Suite:
- A suite of evaluation tasks defined in YAML files located in the
benchmarks/directory. - Each test case includes a declarative
initial_state, a natural languageprompt, andground_truthcriteria for success.
- A suite of evaluation tasks defined in YAML files located in the
-
Rust Toolchain: Install Rust (latest stable recommended)
-
Git: Clone the repository
-
Optional LLM: Install LM Studio or have Gemini API key for AI agents
-
GLM API Setup:
Regular GLM API (OpenAI-compatible, highest priority):
export ZAI_API_KEY="your-glm-api-key" export ZAI_API_URL="https://api.z.ai/api/paas/v4" # optional
GLM Coding API (for coding-specific tasks):
export GLM_CODING_API_KEY="your-glm-coding-api-key" export GLM_CODING_API_URL="https://api.z.ai/api/coding/paas/v4" # optional
-
OpenTelemetry Setup (Tool call tracking always enabled):
export REEV_TRACE_FILE=traces.log
The framework now provides automatic surfpool management - no manual setup required:
# All benchmarks work out of the box
cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent deterministic
cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6
# Jupiter protocols (swap, lending, mint/redeem)
cargo run -p reev-runner -- benchmarks/115-jup-lend-mint-usdc.yml --agent local
cargo run -p reev-runner -- benchmarks/116-jup-lend-redeem-usdc.yml --agent local
# Multi-step flows (swap + lend) with OpenTelemetry tracking
# Enhanced otel logging is enabled by default
export REEV_TRACE_FILE=traces.log
cargo run -p reev-runner -- benchmarks/200-jup-swap-then-lend-deposit.yml --agent glm-4.6
# API benchmarks (positions, earnings)
cargo run -p reev-runner -- benchmarks/114-jup-positions-and-earnings.yml --agent deterministic
# Scoring validation tests
cargo run -p reev-runner -- benchmarks/003-spl-transfer-fail.yml --agent deterministic # 0% score
cargo run -p reev-runner -- benchmarks/004-partial-score-spl-transfer.yml --agent deterministic # ~50% score
# View OpenTelemetry traces and tool calls
cat traces.logDeterministic Agent (Ground Truth):
cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent deterministic๐ OpenTelemetry-Enabled Agents:
# Enhanced otel logging is enabled by default
export REEV_TRACE_FILE=traces.log
# Run with automatic tool call extraction (enhanced logging included)
cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6
# View extracted tool calls for Mermaid diagrams
curl http://localhost:3001/api/v1/flows/{session_id}
# Disable enhanced otel logging if needed
REEV_ENHANCED_OTEL=0 cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6Local Model Agent:
cargo run -p reev-runner -- benchmarks/116-jup-lend-redeem-usdc.yml --agent localGemini Agent:
RUST_LOG=info cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6Launch the interactive cockpit for real-time monitoring:
cargo run -p reev-tuiFeatures:
- ๐ Live benchmark execution with status updates
- ๐ Detailed execution trace analysis
- ๐ท๏ธ Agent selection (deterministic, local, glm-4.6, gemini)
- ๐ Real-time scoring and metrics
The framework now includes automatic OpenTelemetry integration for tool call tracking and Mermaid diagram generation. This provides real-time observability into agent execution flows without manual interference.
# OpenTelemetry tracing with enhanced logging (enabled by default)
export REEV_TRACE_FILE=traces.log
export RUST_LOG=info
# Run any agent with automatic enhanced tool call tracking
cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6
# View captured traces with detailed tool info
cat traces.log
# Disable enhanced logging for minimal output
REEV_ENHANCED_OTEL=0 cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml --agent glm-4.6Tool calls are automatically extracted from rig's OpenTelemetry spans and converted to session format for Mermaid diagrams:
# Start reev-api for flow visualization
cargo run --bin reev-api
# Run benchmark with tool tracking
curl -X POST http://localhost:3001/api/v1/benchmarks/001-sol-transfer/run \
-H "Content-Type: application/json" \
-d '{"agent": "glm-4.6"}'
# Get flow diagram
curl http://localhost:3001/api/v1/flows/{session_id}The system automatically converts OpenTelemetry traces to the session format required by FLOW.md:
{
"session_id": "uuid-here",
"benchmark_id": "001-sol-transfer",
"tools": [
{
"tool_name": "sol_transfer",
"start_time": "2024-01-15T10:30:01.456Z",
"end_time": "2024-01-15T10:30:02.789Z",
"params": {"pubkey": "USER_1", "amount": "0.1"},
"result": {"signatures": ["abc123"]},
"status": "success"
}
]
}rig tool execution โ OpenTelemetry spans โ trace extraction โ session format โ Mermaid diagrams
- No Manual Tracking: Uses rig's built-in OpenTelemetry automatically
- Clean Integration: No HTTP request/response warping or tool interception
- Session Format: Matches FLOW.md specification exactly
- Real-time Extraction: Tool calls captured during agent execution
Real on-chain operations with Jupiter protocols:
# Jupiter swap
cargo run -p reev-runner -- benchmarks/100-jup-swap-sol-usdc.yml --agent local
# Jupiter lending (mint/redeem)
cargo run -p reev-runner -- benchmarks/115-jup-lend-mint-usdc.yml --agent local
cargo run -p reev-runner -- benchmarks/116-jup-lend-redeem-usdc.yml --agent localMulti-step DeFi workflows with step-by-step execution:
# Swap then lend (2 steps: swap SOLโUSDC, then deposit USDC)
cargo run -p reev-runner -- benchmarks/200-jup-swap-then-lend-deposit.yml --agent deterministic
# More flow benchmarks coming soon...Flow Execution Features:
- โ Step-by-Step Processing: Each flow step executes as a separate transaction
- โ Transaction Isolation: Proper error handling per step, no cascading failures
- โ State Management: Account state flows between steps automatically
- โ Agent Consistency: Both deterministic and AI agents handle flows identically
Data retrieval and portfolio management:
# Positions and earnings
cargo run -p reev-runner -- benchmarks/114-jup-positions-and-earnings.yml --agent deterministic- โ 100% Success Rate: All benchmarks passing with local model
- โ Real Jupiter Integration: Full protocol stack working
- โ Multi-Step Flows: Complex workflows executing step-by-step successfully
- โ Production Infrastructure: TUI, database, logging all operational
- โ Scoring System Validation: Comprehensive test suite covering full score spectrum
- โ Anti-False-Positive Protection: Differentiates failure modes accurately
- โ Flow Framework: Robust step-by-step execution with proper error handling
The framework implements a sophisticated two-tiered scoring system:
Component Breakdown:
- Instruction Quality (75%): Granular evaluation of generated transactions
- Program ID matching (configurable weight)
- Instruction data validation (configurable weight)
- Account metadata verification (signer/writable flags)
- On-Chain Execution (25%): Binary success/failure on surfpool
- Composite Scoring: Weighted average for final assessment
Flow Scoring:
- Per-Step Evaluation: Each flow step is scored individually
- Combined Results: Step scores aggregated for final flow assessment
- Partial Credit: Successful steps count even if later steps fail
Validated Score Scenarios:
| Score Range | Test Case | Purpose | Status |
|---|---|---|---|
| ~75% | 003-spl-transfer-fail |
Correct instruction, on-chain failure | โ Validated |
| ~78.6% | 004-partial-score-spl-transfer |
Partial credit (correct ID, some errors) | โ Validated |
| ~75% | 100-jup-swap-sol-usdc (pre-fix) |
Good reasoning, execution failure | โ Validated |
| 100% | 001-sol-transfer, 002-spl-transfer |
Perfect execution | โ Validated |
Anti-False-Positive Testing:
- Differentiates between "no attempt" (0%) vs "attempted but failed" (partial credit)
- Validates granular component scoring (program ID vs data vs accounts)
- Ensures weighted scoring prevents gaming the system
# Full test suite (deterministic + AI agents)
cargo test -p reev-runner
# Specific agent testing
cargo test -p reev-runner --test deterministic_agent_test
cargo test -p reev-runner --test llm_agent_test# Protocol examples
cargo run -p reev-agent --example 115-jup-lend-mint-usdc
# Flow examples
cargo run -p reev-agent --example 200-jup-swap-then-lend-deposit# Enable verbose logging
RUST_LOG=debug cargo run -p reev-runner -- benchmarks/001-sol-transfer.yml
# Check surfpool status
curl http://localhost:8899/health