A flexible, multi-backend, customizable AI agent framework, entirely based on Rust.
Project description
Python Bindings for Ambi
A Python native extension for the Ambi AI Agent framework.
Build
# Install maturin
pip install maturin
# Build and install
cd bindings/python
maturin develop --release
Examples
Run any example from the bindings/python directory:
cd bindings/python
# Basic cloud-based chat
OPENAI_API_KEY=sk-... python examples/chat-cloud.py
# Streaming output
OPENAI_API_KEY=sk-... python examples/chat-stream.py
# Tool calling
OPENAI_API_KEY=sk-... python examples/custom-tool.py
# Custom chat template
OPENAI_API_KEY=sk-... python examples/custom-template.py
# Custom Python LLM engine
python examples/custom-engine.py
# Memory eviction
OPENAI_API_KEY=sk-... python examples/memory-eviction.py
API Reference
| Python | JS equivalent | Description |
|---|---|---|
Agent.make(config) |
Agent.make(config) |
Create an async agent |
agent.preamble("...") |
agent.preamble("...") |
Set system prompt |
agent.template("chatml") |
agent.template(Chatml) |
Set template type |
agent.custom_template(...) |
agent.customTemplate(...) |
Custom template |
agent.add_tool(...) |
agent.tool(...) |
Register a tool |
agent.with_standard_formatting() |
agent.withStandardFormatting() |
Enable standard formatting |
agent.with_eviction_strategy(...) |
agent.withEvictionStrategy(...) |
Set eviction strategy |
agent.count_tokens(...) |
agent.countTokens(...) |
Count tokens |
AgentState("id") |
new AgentState("id") |
Create session state |
LLMEngineConfig.openai(...) |
LLMEngineConfig.openai(...) |
OpenAI engine |
LLMEngineConfig.custom(...) |
LLMEngineConfig.custom(...) |
Custom engine |
Pipeline.chat_runner(n) |
Pipeline.chatRunner(n) |
Chat runner |
Pipeline.custom(...) |
Pipeline.custom(...) |
Custom pipeline |
runner.chat(...) |
runner.chat(...) |
Sync chat |
runner.chat_stream(...) |
runner.chatStream(...) |
Streaming chat |
resolve_request(id, result) |
resolveRequest(id, result) |
Resolve async callback |
resolve_pipeline_request(...) |
resolvePipelineRequest(...) |
Resolve pipeline callback |
Project details
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