-Tinygent is a tiny agentic framework - lightweight, easy to use (hopefully), and efficient (also hopefully ;-0) library for building and deploying generative AI applications. It provides a simple interface for working with various models and tools, making it ideal for developers who want to quickly prototype and deploy AI solutions.
+🤖 Tinygent is a tiny agentic framework - lightweight, easy to use (hopefully), and efficient (also hopefully ;-0) library for building and deploying generative AI applications. It provides a simple interface for working with various models and tools, making it ideal for developers who want to quickly prototype and deploy AI solutions.
-## Create an agent
+## 🎯 Create an agent
```python
# uv sync --extra openai
@@ -38,16 +38,16 @@ agent = build_agent(
print(agent.run('What is the weather like in Prague?'))
```
-## Getting Started
+## 🚀 Getting Started
-### Prerequisites
+### 📋 Prerequisites
Before you begin using tinygent, ensure that you meet the following software prerequisites.
- Install [Git](https://git-scm.com/)
- Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
-### Install From Source
+### 💻 Install From Source
1. Clone the tinygent repository to your local machine.
```bash
@@ -80,59 +80,90 @@ Before you begin using tinygent, ensure that you meet the following software pre
uv pip install -e .
```
-## Examples (Quick Start)
+## 🎬 See It In Action
-1. Ensure you have set the `OPENAI_API_KEY` environment variable to allow the example to use OpenAI's API. An API key can be obtained from [`openai.com`](https://openai.com/).
+
+
+
+
+## 🏗️ Architecture
+
+```mermaid
+%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#e1f5ff', 'primaryTextColor': '#0d47a1', 'primaryBorderColor': '#42a5f5', 'lineColor': '#1976d2', 'secondaryColor': '#fff4e1', 'tertiaryColor': '#f0e1ff'}}}%%
+flowchart LR
+ User[User Code]:::userNode
+ Factory[Factories]:::factoryNode
+ Runtime[Runtime Registry]:::runtimeNode
+ Components[Agents & Tools & Memory]:::componentNode
+ Packages[Provider Packages]:::packageNode
+
+ User a@--> Factory
+ Factory b@--> Runtime
+ Runtime c@--> Components
+ Packages d@-.-> Runtime
+
+ a@{animate: true}
+ b@{animate: true}
+ c@{animate: true}
+ d@{animate: true}
+
+ linkStyle 0 stroke-width:2px
+ linkStyle 1 stroke-width:2px
+ linkStyle 2 stroke-width:2px
+ linkStyle 3 stroke-width:2px,stroke-dasharray: 5 5
+
+ classDef userNode fill:#e1f5ff,stroke:#1976d2,stroke-width:2px,color:#0d47a1
+ classDef factoryNode fill:#fff4e1,stroke:#f57c00,stroke-width:2px,color:#e65100
+ classDef runtimeNode fill:#f0e1ff,stroke:#7b1fa2,stroke-width:2px,color:#4a148c
+ classDef componentNode fill:#e1ffe1,stroke:#388e3c,stroke-width:2px,color:#1b5e20
+ classDef packageNode fill:#ffe1e1,stroke:#d32f2f,stroke-width:2px,color:#b71c1c
+```
+
+Tinygent uses a registry-based plugin architecture: **Packages** register components into the **Runtime**. **Factories** query the Runtime to build **Components** for your code.
+
+## 💡 Examples (Quick Start)
+
+1. 🔑 Ensure you have set the `OPENAI_API_KEY` environment variable to allow the example to use OpenAI's API. An API key can be obtained from [`openai.com`](https://openai.com/).
```bash
export OPENAI_API_KEY="your_openai_api_key"
```
-2. Run the examples using `uv`:
+2. ▶️ Run the examples using `uv`:
```bash
uv run examples/agents/multi-step/main.py
```
-3. Explore more examples below:
-
-### Basics
-
-1. [Tool Usage](examples/tool-usage)
-2. [LLM Usage](examples/llm-usage)
-3. [Function Calling](examples/function-calling)
-
-### Memory
-
-1. [Chat Buffer Memory](examples/memory/basic-chat-memory)
-2. [Summary Buffer Memory](examples/memory/buffer-summary-memory)
-3. [Window Buffer Memory](examples/memory/buffer-window-chat-memory)
-4. [Combined Memory](examples/memory/combined-memory)
-
-### Tools
-
-1. [Basic Tools](examples/tool-usage/main.py)
-2. [Reasoning Tools](examples/tool-usage/main.py)
-3. [JIT Tools](examples/tool-usage/main.py)
-
-### Agents
-
-1. [Middlewares in Agents](examples/agents/middleware/)
-2. [ReAct Agent](examples/agents/react/)
-3. [Multi-Step Agent](examples/agents/multi-step/)
-4. [Squad Agent](examples/agents/squad/)
-5. [Modular Agentic Planner Agent](examples/agents/map/)
-
-### Packages
-
-1. [Brave Tools](packages/tiny_brave/)
-2. [Tiny Chat](packages/tiny_chat)
-3. [Tiny OpenAI](packages/tiny_openai)
-4. [Tiny MistralAI](packages/tiny_mistralai)
-5. [Tiny Gemini](packages/tiny_gemini)
-6. [Tiny Anthropic](packages/tiny_anthropic)
-7. [Tiny VoyageAI](packages/tiny_voyageai)
-8. [Tiny Graph](packages/tiny_graph)
-
-## Linting & Formatting
+3. 🔍 Explore more examples below:
+
+### 📚 Features & Examples
+
+| Name | Type | Description |
+|------|------|-------------|
+| [Tool Usage](examples/tool-usage) | Basics | Basic tool creation and usage |
+| [LLM Usage](examples/llm-usage) | Basics | Direct LLM interaction patterns |
+| [Function Calling](examples/function-calling) | Basics | Function calling with LLMs |
+| [Chat Buffer Memory](examples/memory/basic-chat-memory) | Memory | Store complete conversation history |
+| [Summary Buffer Memory](examples/memory/buffer-summary-memory) | Memory | Summarize older messages to save tokens |
+| [Window Buffer Memory](examples/memory/buffer-window-chat-memory) | Memory | Keep only recent N messages |
+| [Combined Memory](examples/memory/combined-memory) | Memory | Combine multiple memory strategies |
+| [Basic Tools](examples/tool-usage/main.py) | Tools | Simple tool definitions with `@tool` |
+| [Reasoning Tools](examples/tool-usage/main.py) | Tools | Tools that provide reasoning traces |
+| [JIT Tools](examples/tool-usage/main.py) | Tools | Just-in-time compiled tools |
+| [Middlewares in Agents](examples/agents/middleware/) | Agents | Add custom processing layers to agents |
+| [ReAct Agent](examples/agents/react/) | Agents | Reasoning and acting pattern |
+| [Multi-Step Agent](examples/agents/multi-step/) | Agents | Break down complex tasks into steps |
+| [Squad Agent](examples/agents/squad/) | Agents | Coordinate multiple specialized agents |
+| [Modular Agentic Planner](examples/agents/map/) | Agents | Advanced planning with modular architecture |
+| [Tiny OpenAI](packages/tiny_openai) | Package | OpenAI LLMs and embeddings |
+| [Tiny Anthropic](packages/tiny_anthropic) | Package | Anthropic Claude LLMs |
+| [Tiny MistralAI](packages/tiny_mistralai) | Package | Mistral AI LLMs |
+| [Tiny Gemini](packages/tiny_gemini) | Package | Google Gemini LLMs |
+| [Tiny VoyageAI](packages/tiny_voyageai) | Package | VoyageAI embedding models |
+| [Brave Tools](packages/tiny_brave/) | Package | Brave search integration |
+| [Tiny Chat](packages/tiny_chat) | Package | FastAPI-based chat interface |
+| [Tiny Graph](packages/tiny_graph) | Package | Neo4j knowledge graph integration |
+
+## ✅ Linting & Formatting
To ensure code quality, formatting consistency, and type safety, run:
diff --git a/docs/index.md b/docs/index.md
index 6da40be..773267b 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -16,7 +16,7 @@ Built with modern Python best practices, Tinygent provides:
## Why Tinygent?
-### **Easy to Learn, Hard to Master**
+### **Start Simple, Scale Your Way**
Tinygent follows the principle of progressive disclosure - start simple, grow complex only when needed.
diff --git a/examples/chat-app/main.py b/examples/chat-app/main.py
index 82e3b43..ab7d854 100644
--- a/examples/chat-app/main.py
+++ b/examples/chat-app/main.py
@@ -1,4 +1,3 @@
-from pathlib import Path
from typing import Any
import uuid
@@ -6,37 +5,71 @@
from tiny_brave import NewsSearchApiResponse
from tiny_brave import NewsSearchRequest
+from tiny_brave import WebSearchApiResponse
+from tiny_brave import WebSearchRequest
from tiny_brave import brave_news_search
+from tiny_brave import brave_web_search
import tiny_chat as tc
-from tinygent.agents import TinyReActAgent
from tinygent.agents.middleware import TinyBaseMiddleware
+from tinygent.agents.middleware import TinyToolCallLimiterMiddleware
from tinygent.cli.utils import discover_and_register_components
from tinygent.core.datamodels.tool import AbstractTool
-from tinygent.core.factory import build_llm
+from tinygent.core.factory import build_agent
from tinygent.core.types import TinyModel
from tinygent.logging import setup_logger
from tinygent.memory import BufferChatMemory
-from tinygent.prompts import ReActPromptTemplate
from tinygent.tools import register_tool
-from tinygent.utils import tiny_yaml_load
logger = setup_logger('debug')
discover_and_register_components()
-class BraveNewsConfig(TinyModel):
+class BraveConfig(TinyModel):
query: str = Field(..., description='The search query string.')
@register_tool
-async def brave_news(data: BraveNewsConfig):
- result = await brave_news_search(NewsSearchRequest(q=data.query))
+async def brave_news(data: BraveConfig):
+ """Search recent news articles from news publishers (headlines, journalism, press, media coverage)."""
+ raw = await brave_news_search(NewsSearchRequest(q=data.query))
- return result
+ return NewsSearchApiResponse.model_validate(raw)
+
+
+@register_tool
+async def brave_web(data: BraveConfig):
+ """Search general web pages (blogs, docs, forums, websites, informational pages)."""
+ raw = await brave_web_search(WebSearchRequest(q=data.query))
+
+ return WebSearchApiResponse.model_validate(raw)
class ChatClientMiddleware(TinyBaseMiddleware):
+ @staticmethod
+ async def _send_sources(run_id: str, result: Any) -> bool:
+ if not isinstance(result, (NewsSearchApiResponse, WebSearchApiResponse)):
+ return False
+
+ items = (
+ result.results
+ if isinstance(result, NewsSearchApiResponse)
+ else result.web.results
+ if result.web
+ else []
+ )
+
+ for item in items:
+ await tc.AgentSourceMessage(
+ parent_id=run_id,
+ name=item.title,
+ url=item.url,
+ favicon=item.meta_url.favicon if item.meta_url else None,
+ description=item.description,
+ ).send()
+
+ return True
+
async def on_answer(
self, *, run_id: str, answer: str, kwargs: dict[str, Any]
) -> None:
@@ -70,31 +103,19 @@ async def after_tool_call(
content=result,
).send()
- try:
- news_response = NewsSearchApiResponse.model_validate(result)
- for article in news_response.results:
- await tc.AgentSourceMessage(
- parent_id=run_id,
- name=article.title,
- url=article.url,
- favicon=article.meta_url.favicon if article.meta_url else None,
- description=article.description,
- ).send()
-
- except Exception:
+ if not await self._send_sources(run_id, result):
logger.exception('Failed to parse tool call.')
-agent = TinyReActAgent(
- llm=build_llm('openai:gpt-4o'),
- tools=[brave_news],
+agent = build_agent(
+ 'react',
+ llm='openai:gpt-4o',
+ tools=[brave_news, brave_web],
memory=BufferChatMemory(),
- prompt_template=ReActPromptTemplate(
- **tiny_yaml_load(
- str(Path(__file__).parent.parent / 'agents' / 'react' / 'prompts.yaml')
- )
- ),
- middleware=[ChatClientMiddleware()],
+ middleware=[
+ ChatClientMiddleware(),
+ TinyToolCallLimiterMiddleware(tool_name='brave_web', max_tool_calls=1),
+ ],
)
diff --git a/examples/quick-start/README.md b/examples/quick-start/README.md
new file mode 100644
index 0000000..4f47b56
--- /dev/null
+++ b/examples/quick-start/README.md
@@ -0,0 +1,88 @@
+# Quick Start
+
+A minimal example demonstrating how to create a ReAct agent with a custom tool using Tinygent.
+
+## What This Example Does
+
+This example creates a simple agent that can answer questions about the weather by using a custom `get_weather` tool. It demonstrates:
+
+- Defining a custom tool with the `@tool` decorator
+- Building a ReAct agent using the factory pattern
+- Running the agent with a simple query
+
+## Prerequisites
+
+- Python 3.12
+- OpenAI API key
+- `uv` package manager ([installation guide](https://docs.astral.sh/uv/getting-started/installation/))
+
+## Setup
+
+1. Set your OpenAI API key:
+ ```bash
+ export OPENAI_API_KEY="your_openai_api_key"
+ ```
+
+2. Install dependencies:
+ ```bash
+ uv sync --extra openai
+ ```
+
+## Run the Example
+
+```bash
+uv run examples/quick-start/main.py
+```
+
+## Expected Output
+
+The agent will:
+1. Receive the query "What is the weather like in Prague?"
+2. Reason about which tool to use
+3. Call the `get_weather` tool with location="Prague"
+4. Return a natural language response based on the tool output
+
+Example output:
+```
+The weather in Prague is sunny with a high of 75°F.
+```
+
+## Code Breakdown
+
+```python
+@tool
+def get_weather(location: str) -> str:
+ """Get the current weather in a given location."""
+ return f'The weather in {location} is sunny with a high of 75°F.'
+```
+The `@tool` decorator registers a Python function as a tool that the agent can use. The docstring is used to help the agent understand when to use this tool.
+
+```python
+agent = build_agent(
+ 'react',
+ llm='openai:gpt-4o-mini',
+ tools=[get_weather],
+)
+```
+`build_agent()` creates a ReAct agent using:
+- `'react'` - The agent type (ReAct pattern: Reasoning + Acting)
+- `llm='openai:gpt-4o-mini'` - The LLM to use (format: `provider:model`)
+- `tools=[get_weather]` - List of tools available to the agent
+
+```python
+print(agent.run('What is the weather like in Prague?'))
+```
+`agent.run()` executes the agent with the given query and returns the final response.
+
+## Next Steps
+
+Explore more advanced examples:
+
+- [Multi-Step Agent](../agents/multi-step/) - Agent that breaks down complex tasks
+- [Tool Usage](../tool-usage/) - Advanced tool patterns (reasoning, JIT)
+- [Memory Examples](../memory/) - Adding conversation memory to agents
+- [Squad Agent](../agents/squad/) - Coordinating multiple agents
+
+## Documentation
+
+Visit the [Tinygent documentation](https://filchy.github.io/tinygent) for comprehensive guides and API references.
diff --git a/examples/quick-start/main.py b/examples/quick-start/main.py
new file mode 100644
index 0000000..5599d40
--- /dev/null
+++ b/examples/quick-start/main.py
@@ -0,0 +1,20 @@
+from tinygent.core.factory import build_agent
+from tinygent.logging import setup_logger
+from tinygent.tools import tool
+
+setup_logger('debug')
+
+
+@tool
+def get_weather(location: str) -> str:
+ """Get the current weather in a given location."""
+ return f'The weather in {location} is sunny with a high of 75°F.'
+
+
+agent = build_agent(
+ 'react',
+ llm='openai:gpt-4o-mini',
+ tools=[get_weather],
+)
+
+print(agent.run('What is the weather like in Prague?'))
diff --git a/tinygent/agents/base_agent.py b/tinygent/agents/base_agent.py
index c18ec5f..4d8cb80 100644
--- a/tinygent/agents/base_agent.py
+++ b/tinygent/agents/base_agent.py
@@ -103,9 +103,9 @@ def __init__(
middleware: Sequence[AbstractMiddleware] = [],
) -> None:
self.llm = llm
- self.memory = memory
self.middleware = middleware
+ self._memory = memory
self._tools = tools
self._final_answer: str | None = None
@@ -115,6 +115,10 @@ def reset(self) -> None:
self.memory.clear()
self._final_answer = None
+ @property
+ def memory(self) -> AbstractMemory:
+ return self._memory
+
@property
def tools(self) -> Sequence[AbstractTool]:
return self._tools
diff --git a/tinygent/core/datamodels/agent.py b/tinygent/core/datamodels/agent.py
index 580406e..3b85d5d 100644
--- a/tinygent/core/datamodels/agent.py
+++ b/tinygent/core/datamodels/agent.py
@@ -8,6 +8,7 @@
from typing import TypeVar
from tinygent.agents.middleware.agent import TinyMiddlewareAgent
+from tinygent.core.datamodels.memory import AbstractMemory
from tinygent.core.datamodels.messages import AllTinyMessages
from tinygent.core.types.builder import TinyModelBuildable
@@ -27,6 +28,12 @@ def build(self) -> AgentType:
class AbstractAgent(TinyMiddlewareAgent, ABC):
"""Abstract base class for agents."""
+ @property
+ @abstractmethod
+ def memory(self) -> AbstractMemory:
+ """Get agents memory instance."""
+ raise NotImplementedError('Subclasses must implement this method.')
+
@abstractmethod
def reset(self) -> None:
"""Reset the agent's internal state."""
diff --git a/uv.lock b/uv.lock
index 1c7594d..2190ae6 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3,15 +3,15 @@ requires-python = "==3.12.*"
[manifest]
members = [
- "tiny-anthropic",
- "tiny-brave",
- "tiny-chat",
- "tiny-gemini",
- "tiny-graph",
- "tiny-mistralai",
- "tiny-openai",
- "tiny-voyageai",
"tinygent",
+ "tinygent-anthropic",
+ "tinygent-brave",
+ "tinygent-chat",
+ "tinygent-gemini",
+ "tinygent-graph",
+ "tinygent-mistralai",
+ "tinygent-openai",
+ "tinygent-voyageai",
]
[[package]]
@@ -1639,8 +1639,83 @@ wheels = [
]
[[package]]
-name = "tiny-anthropic"
-version = "0.1.0"
+name = "tinygent"
+version = "0.1.1"
+source = { editable = "." }
+dependencies = [
+ { name = "async-lru" },
+ { name = "jinja2" },
+ { name = "langchain-core" },
+ { name = "opentelemetry-exporter-otlp" },
+ { name = "opentelemetry-sdk" },
+ { name = "pydantic" },
+ { name = "pyyaml" },
+ { name = "typer" },
+]
+
+[package.optional-dependencies]
+anthropic = [
+ { name = "tinygent-anthropic" },
+]
+brave = [
+ { name = "tinygent-brave" },
+]
+chat = [
+ { name = "tinygent-chat" },
+]
+dev = [
+ { name = "mypy" },
+ { name = "ruff" },
+]
+docs = [
+ { name = "mkdocs" },
+ { name = "mkdocs-material" },
+ { name = "mkdocstrings", extra = ["python"] },
+]
+gemini = [
+ { name = "tinygent-gemini" },
+]
+graph = [
+ { name = "tinygent-graph" },
+]
+mistralai = [
+ { name = "tinygent-mistralai" },
+]
+openai = [
+ { name = "tinygent-openai" },
+]
+voyageai = [
+ { name = "tinygent-voyageai" },
+]
+
+[package.metadata]
+requires-dist = [
+ { name = "async-lru", specifier = ">=2.0.5" },
+ { name = "jinja2", specifier = ">=3.1.6" },
+ { name = "langchain-core", specifier = ">=0.3.74" },
+ { name = "mkdocs", marker = "extra == 'docs'", specifier = ">=1.6.1" },
+ { name = "mkdocs-material", marker = "extra == 'docs'", specifier = ">=9.7.1" },
+ { name = "mkdocstrings", extras = ["python"], marker = "extra == 'docs'", specifier = ">=1.0.2" },
+ { name = "mypy", marker = "extra == 'dev'", specifier = ">=1.17.1" },
+ { name = "opentelemetry-exporter-otlp", specifier = ">=1.38.0" },
+ { name = "opentelemetry-sdk", specifier = ">=1.38.0" },
+ { name = "pydantic", specifier = ">=2.11.7" },
+ { name = "pyyaml", specifier = ">=6.0.2" },
+ { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.12.11" },
+ { name = "tinygent-anthropic", marker = "extra == 'anthropic'", editable = "packages/tiny_anthropic" },
+ { name = "tinygent-brave", marker = "extra == 'brave'", editable = "packages/tiny_brave" },
+ { name = "tinygent-chat", marker = "extra == 'chat'", editable = "packages/tiny_chat" },
+ { name = "tinygent-gemini", marker = "extra == 'gemini'", editable = "packages/tiny_gemini" },
+ { name = "tinygent-graph", marker = "extra == 'graph'", editable = "packages/tiny_graph" },
+ { name = "tinygent-mistralai", marker = "extra == 'mistralai'", editable = "packages/tiny_mistralai" },
+ { name = "tinygent-openai", marker = "extra == 'openai'", editable = "packages/tiny_openai" },
+ { name = "tinygent-voyageai", marker = "extra == 'voyageai'", editable = "packages/tiny_voyageai" },
+ { name = "typer", specifier = ">=0.19.2" },
+]
+
+[[package]]
+name = "tinygent-anthropic"
+version = "0.1.1"
source = { editable = "packages/tiny_anthropic" }
dependencies = [
{ name = "anthropic" },
@@ -1654,8 +1729,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-brave"
-version = "0.1.0"
+name = "tinygent-brave"
+version = "0.1.1"
source = { editable = "packages/tiny_brave" }
dependencies = [
{ name = "httpx" },
@@ -1671,8 +1746,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-chat"
-version = "0.1.0"
+name = "tinygent-chat"
+version = "0.1.1"
source = { editable = "packages/tiny_chat" }
dependencies = [
{ name = "fastapi" },
@@ -1692,8 +1767,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-gemini"
-version = "0.1.0"
+name = "tinygent-gemini"
+version = "0.1.1"
source = { editable = "packages/tiny_gemini" }
dependencies = [
{ name = "google-genai" },
@@ -1707,8 +1782,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-graph"
-version = "0.1.0"
+name = "tinygent-graph"
+version = "0.1.1"
source = { editable = "packages/tiny_graph" }
dependencies = [
{ name = "neo4j" },
@@ -1722,8 +1797,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-mistralai"
-version = "0.1.0"
+name = "tinygent-mistralai"
+version = "0.1.1"
source = { editable = "packages/tiny_mistralai" }
dependencies = [
{ name = "mistral-common" },
@@ -1741,8 +1816,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-openai"
-version = "0.1.0"
+name = "tinygent-openai"
+version = "0.1.1"
source = { editable = "packages/tiny_openai" }
dependencies = [
{ name = "langchain-core" },
@@ -1760,8 +1835,8 @@ requires-dist = [
]
[[package]]
-name = "tiny-voyageai"
-version = "0.1.0"
+name = "tinygent-voyageai"
+version = "0.1.1"
source = { editable = "packages/tiny_voyageai" }
dependencies = [
{ name = "tinygent" },
@@ -1774,81 +1849,6 @@ requires-dist = [
{ name = "voyageai", specifier = ">=0.3.7" },
]
-[[package]]
-name = "tinygent"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
- { name = "async-lru" },
- { name = "jinja2" },
- { name = "langchain-core" },
- { name = "opentelemetry-exporter-otlp" },
- { name = "opentelemetry-sdk" },
- { name = "pydantic" },
- { name = "pyyaml" },
- { name = "typer" },
-]
-
-[package.optional-dependencies]
-anthropic = [
- { name = "tiny-anthropic" },
-]
-brave = [
- { name = "tiny-brave" },
-]
-chat = [
- { name = "tiny-chat" },
-]
-dev = [
- { name = "mypy" },
- { name = "ruff" },
-]
-docs = [
- { name = "mkdocs" },
- { name = "mkdocs-material" },
- { name = "mkdocstrings", extra = ["python"] },
-]
-gemini = [
- { name = "tiny-gemini" },
-]
-graph = [
- { name = "tiny-graph" },
-]
-mistralai = [
- { name = "tiny-mistralai" },
-]
-openai = [
- { name = "tiny-openai" },
-]
-voyageai = [
- { name = "tiny-voyageai" },
-]
-
-[package.metadata]
-requires-dist = [
- { name = "async-lru", specifier = ">=2.0.5" },
- { name = "jinja2", specifier = ">=3.1.6" },
- { name = "langchain-core", specifier = ">=0.3.74" },
- { name = "mkdocs", marker = "extra == 'docs'", specifier = ">=1.6.1" },
- { name = "mkdocs-material", marker = "extra == 'docs'", specifier = ">=9.7.1" },
- { name = "mkdocstrings", extras = ["python"], marker = "extra == 'docs'", specifier = ">=1.0.2" },
- { name = "mypy", marker = "extra == 'dev'", specifier = ">=1.17.1" },
- { name = "opentelemetry-exporter-otlp", specifier = ">=1.38.0" },
- { name = "opentelemetry-sdk", specifier = ">=1.38.0" },
- { name = "pydantic", specifier = ">=2.11.7" },
- { name = "pyyaml", specifier = ">=6.0.2" },
- { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.12.11" },
- { name = "tiny-anthropic", marker = "extra == 'anthropic'", editable = "packages/tiny_anthropic" },
- { name = "tiny-brave", marker = "extra == 'brave'", editable = "packages/tiny_brave" },
- { name = "tiny-chat", marker = "extra == 'chat'", editable = "packages/tiny_chat" },
- { name = "tiny-gemini", marker = "extra == 'gemini'", editable = "packages/tiny_gemini" },
- { name = "tiny-graph", marker = "extra == 'graph'", editable = "packages/tiny_graph" },
- { name = "tiny-mistralai", marker = "extra == 'mistralai'", editable = "packages/tiny_mistralai" },
- { name = "tiny-openai", marker = "extra == 'openai'", editable = "packages/tiny_openai" },
- { name = "tiny-voyageai", marker = "extra == 'voyageai'", editable = "packages/tiny_voyageai" },
- { name = "typer", specifier = ">=0.19.2" },
-]
-
[[package]]
name = "tokenizers"
version = "0.22.2"
+ 
+