diff --git a/hindsight-docs/docs/sdks/integrations/autogen.md b/hindsight-docs/docs/sdks/integrations/autogen.md new file mode 100644 index 00000000..beac0bdc --- /dev/null +++ b/hindsight-docs/docs/sdks/integrations/autogen.md @@ -0,0 +1,222 @@ +--- +sidebar_position: 12 +--- + +# AutoGen + +Persistent long-term memory for [AutoGen](https://microsoft.github.io/autogen/) agents via Hindsight. Provides `FunctionTool` instances that plug directly into AutoGen's `AssistantAgent`. + +## Features + +- **Memory Tools** — retain, recall, and reflect as AutoGen `FunctionTool` instances compatible with `AssistantAgent(tools=[...])` +- **Async-Native** — Uses `aretain`, `arecall`, `areflect` directly — works seamlessly in AutoGen's async runtime +- **Selective Tools** — Include only the tools you need with `include_retain/recall/reflect` flags +- **Tag-Based Scoping** — Partition memories by topic, session, or user with tags +- **Global Configuration** — Configure once with `configure()`, create tools anywhere + +## Installation + +```bash +pip install hindsight-autogen autogen-agentchat "autogen-ext[openai]" +``` + +`hindsight-autogen` pulls in `autogen-core` and `hindsight-client`. You also need `autogen-agentchat` for `AssistantAgent` and `autogen-ext[openai]` for the OpenAI model client. + +## Quick Start + +```python +import asyncio +from autogen_agentchat.agents import AssistantAgent +from autogen_ext.models.openai import OpenAIChatCompletionClient +from hindsight_client import Hindsight +from hindsight_autogen import create_hindsight_tools + +async def main(): + client = Hindsight(base_url="http://localhost:8888") + await client.acreate_bank(bank_id="user-123") + + model_client = OpenAIChatCompletionClient(model="gpt-4o") + tools = create_hindsight_tools(client=client, bank_id="user-123") + + agent = AssistantAgent( + name="assistant", + model_client=model_client, + tools=tools, + ) + + # Store a memory + result = await agent.run(task="Remember that I prefer dark mode") + print(result.messages[-1].content) + + # Hindsight processes retained content asynchronously (fact extraction, + # entity resolution, embeddings). A brief pause ensures memories are + # searchable before the next recall. In production, this delay is only + # needed when retain and recall happen back-to-back in the same script. + await asyncio.sleep(3) + + # Recall it later + result = await agent.run(task="What are my UI preferences?") + print(result.messages[-1].content) + + # Clean up + await client.aclose() + await model_client.close() + +asyncio.run(main()) +``` + +:::tip Jupyter Notebooks +If you're running in a Jupyter notebook, you don't need `asyncio.run()` — just use `await` directly in cells since the notebook already has an active event loop. +::: + +The agent gets three tools it can call: + +- **`hindsight_retain`** — Store information to long-term memory +- **`hindsight_recall`** — Search long-term memory for relevant facts +- **`hindsight_reflect`** — Synthesize a reasoned answer from memories + +## Selecting Tools + +Include only the tools you need: + +```python +tools = create_hindsight_tools( + client=client, + bank_id="user-123", + include_retain=True, + include_recall=True, + include_reflect=False, # Omit reflect +) +``` + +## Global Configuration + +Instead of passing a client to every call, configure once: + +```python +from hindsight_autogen import configure, create_hindsight_tools + +configure( + hindsight_api_url="http://localhost:8888", + api_key="your-api-key", # Or set HINDSIGHT_API_KEY env var + budget="mid", # Recall budget: low/mid/high + max_tokens=4096, # Max tokens for recall results + tags=["env:prod"], # Tags for stored memories + recall_tags=["scope:global"], # Tags to filter recall + recall_tags_match="any", # Tag match mode +) + +# Now create tools without passing client — uses global config +tools = create_hindsight_tools(bank_id="user-123") +``` + +## Memory Scoping with Tags + +Use tags to partition memories by topic, session, or user: + +```python +# Store memories tagged by source +tools = create_hindsight_tools( + client=client, + bank_id="user-123", + tags=["source:chat", "session:abc"], + recall_tags=["source:chat"], + recall_tags_match="any", +) +``` + +## Production Patterns + +### Error Handling + +Tools raise `HindsightError` on failure, which AutoGen surfaces to the agent as a tool error. Wrap agent calls for graceful degradation: + +```python +from hindsight_autogen.errors import HindsightError + +try: + result = await agent.run(task="What do you remember about me?") +except HindsightError as e: + print(f"Memory operation failed: {e}") +``` + +### Bank Lifecycle + +Create banks before first use and clean up when done: + +```python +async def main(): + client = Hindsight(base_url="http://localhost:8888") + + # Create bank (idempotent) + await client.acreate_bank(bank_id="user-123") + + tools = create_hindsight_tools(client=client, bank_id="user-123") + # ... use tools ... + + # Optional: delete bank when no longer needed + await client.adelete_bank(bank_id="user-123") +``` + +### Multi-Agent Teams + +Give each agent its own memory bank, or share a bank across a team: + +```python +# Per-agent memory +researcher_tools = create_hindsight_tools(client=client, bank_id="researcher-memory") +writer_tools = create_hindsight_tools(client=client, bank_id="writer-memory") + +# Shared team memory +shared_tools = create_hindsight_tools( + client=client, + bank_id="team-shared", + tags=["team:content"], +) +``` + +## API Reference + +### `create_hindsight_tools()` + +| Parameter | Default | Description | +|---|---|---| +| `bank_id` | *required* | Hindsight memory bank ID | +| `client` | `None` | Pre-configured Hindsight client | +| `hindsight_api_url` | `None` | API URL (used if no client provided) | +| `api_key` | `None` | API key (used if no client provided) | +| `budget` | `"mid"` | Recall/reflect budget level (low/mid/high) | +| `max_tokens` | `4096` | Maximum tokens for recall results | +| `tags` | `None` | Tags applied when storing memories | +| `recall_tags` | `None` | Tags to filter when searching | +| `recall_tags_match` | `"any"` | Tag matching mode (any/all/any\_strict/all\_strict) | +| `retain_metadata` | `None` | Default metadata dict for retain operations | +| `retain_document_id` | `None` | Default document\_id for retain (groups/upserts memories) | +| `recall_types` | `None` | Fact types to filter (world, experience, opinion, observation) | +| `recall_include_entities` | `False` | Include entity information in recall results | +| `reflect_context` | `None` | Additional context for reflect operations | +| `reflect_max_tokens` | `None` | Max tokens for reflect results (defaults to `max_tokens`) | +| `reflect_response_schema` | `None` | JSON schema to constrain reflect output format | +| `reflect_tags` | `None` | Tags to filter memories used in reflect (defaults to `recall_tags`) | +| `reflect_tags_match` | `None` | Tag matching for reflect (defaults to `recall_tags_match`) | +| `include_retain` | `True` | Include the retain (store) tool | +| `include_recall` | `True` | Include the recall (search) tool | +| `include_reflect` | `True` | Include the reflect (synthesize) tool | + +### `configure()` + +| Parameter | Default | Description | +|---|---|---| +| `hindsight_api_url` | Production API | Hindsight API URL | +| `api_key` | `HINDSIGHT_API_KEY` env | API key for authentication | +| `budget` | `"mid"` | Default recall budget level | +| `max_tokens` | `4096` | Default max tokens for recall | +| `tags` | `None` | Default tags for retain operations | +| `recall_tags` | `None` | Default tags to filter recall | +| `recall_tags_match` | `"any"` | Default tag matching mode | + +## Requirements + +- Python >= 3.10 +- autogen-core >= 0.4.0 +- hindsight-client >= 0.4.0 diff --git a/hindsight-docs/src/data/integrations.json b/hindsight-docs/src/data/integrations.json index 76616b04..d2faeb8e 100644 --- a/hindsight-docs/src/data/integrations.json +++ b/hindsight-docs/src/data/integrations.json @@ -170,6 +170,16 @@ "link": "/sdks/integrations/ag2", "icon": "/img/icons/ag2.svg" }, + { + "id": "autogen", + "name": "AutoGen", + "description": "Give AutoGen agents persistent long-term memory with Hindsight FunctionTool instances for retain, recall, and reflect.", + "type": "official", + "by": "hindsight", + "category": "framework", + "link": "/sdks/integrations/autogen", + "icon": "/img/icons/autogen.svg" + }, { "id": "hindclaw", "name": "HindClaw", diff --git a/hindsight-docs/static/img/icons/autogen.svg b/hindsight-docs/static/img/icons/autogen.svg new file mode 100644 index 00000000..357fc63c --- /dev/null +++ b/hindsight-docs/static/img/icons/autogen.svg @@ -0,0 +1,4 @@ + + + AG + diff --git a/hindsight-integrations/autogen/README.md b/hindsight-integrations/autogen/README.md new file mode 100644 index 00000000..d093ba3f --- /dev/null +++ b/hindsight-integrations/autogen/README.md @@ -0,0 +1,155 @@ +# hindsight-autogen + +AutoGen integration for [Hindsight](https://github.com/vectorize-io/hindsight) — persistent long-term memory for AI agents. + +Provides `FunctionTool` instances that give [AutoGen](https://microsoft.github.io/autogen/) agents the ability to store, search, and synthesize memories across conversations. + +## Prerequisites + +- A running Hindsight instance ([self-hosted via Docker](https://github.com/vectorize-io/hindsight#quick-start) or [Hindsight Cloud](https://ui.hindsight.vectorize.io/signup)) +- Python 3.10+ + +## Installation + +```bash +pip install hindsight-autogen autogen-agentchat "autogen-ext[openai]" +``` + +`hindsight-autogen` pulls in `autogen-core` and `hindsight-client`. You also need `autogen-agentchat` for `AssistantAgent` and `autogen-ext[openai]` for the OpenAI model client. + +## Quick Start + +```python +import asyncio +from autogen_agentchat.agents import AssistantAgent +from autogen_ext.models.openai import OpenAIChatCompletionClient +from hindsight_client import Hindsight +from hindsight_autogen import create_hindsight_tools + +async def main(): + client = Hindsight(base_url="http://localhost:8888") + await client.acreate_bank(bank_id="user-123") + + model_client = OpenAIChatCompletionClient(model="gpt-4o") + tools = create_hindsight_tools(client=client, bank_id="user-123") + + agent = AssistantAgent( + name="assistant", + model_client=model_client, + tools=tools, + ) + + # Store a memory + result = await agent.run(task="Remember that I prefer dark mode") + print(result.messages[-1].content) + + # Hindsight processes retained content asynchronously (fact extraction, + # entity resolution, embeddings). A brief pause ensures memories are + # searchable before the next recall. In production, this delay is only + # needed when retain and recall happen back-to-back in the same script. + await asyncio.sleep(3) + + # Recall it later + result = await agent.run(task="What are my UI preferences?") + print(result.messages[-1].content) + + # Clean up + await client.aclose() + await model_client.close() + +asyncio.run(main()) +``` + +The agent gets three tools: + +- **`hindsight_retain`** — Store information to long-term memory +- **`hindsight_recall`** — Search long-term memory for relevant facts +- **`hindsight_reflect`** — Synthesize a reasoned answer from memories + +## Selecting Tools + +Include only the tools you need: + +```python +tools = create_hindsight_tools( + client=client, + bank_id="user-123", + include_retain=True, + include_recall=True, + include_reflect=False, # Omit reflect +) +``` + +## Global Configuration + +Instead of passing a client to every call, configure once: + +```python +from hindsight_autogen import configure, create_hindsight_tools + +configure( + hindsight_api_url="http://localhost:8888", + api_key="your-api-key", # Or set HINDSIGHT_API_KEY env var + budget="mid", # Recall budget: low/mid/high + max_tokens=4096, # Max tokens for recall results + tags=["env:prod"], # Tags for stored memories + recall_tags=["scope:global"], # Tags to filter recall + recall_tags_match="any", # Tag match mode +) + +# Now create tools without passing client +tools = create_hindsight_tools(bank_id="user-123") +``` + +## Memory Scoping with Tags + +Use tags to partition memories by topic, session, or user: + +```python +# Store memories tagged by source +tools = create_hindsight_tools( + client=client, + bank_id="user-123", + tags=["source:chat", "session:abc"], + recall_tags=["source:chat"], + recall_tags_match="any", +) +``` + +## Configuration Reference + +| Parameter | Default | Description | +|---|---|---| +| `bank_id` | *required* | Hindsight memory bank ID | +| `client` | `None` | Pre-configured Hindsight client | +| `hindsight_api_url` | `None` | API URL (used if no client provided) | +| `api_key` | `None` | API key (used if no client provided) | +| `budget` | `"mid"` | Recall/reflect budget level (low/mid/high) | +| `max_tokens` | `4096` | Maximum tokens for recall results | +| `tags` | `None` | Tags applied when storing memories | +| `recall_tags` | `None` | Tags to filter when searching | +| `recall_tags_match` | `"any"` | Tag matching mode (any/all/any\_strict/all\_strict) | +| `retain_metadata` | `None` | Default metadata dict for retain operations | +| `retain_document_id` | `None` | Default document\_id for retain (groups/upserts memories) | +| `recall_types` | `None` | Fact types to filter (world, experience, opinion, observation) | +| `recall_include_entities` | `False` | Include entity information in recall results | +| `reflect_context` | `None` | Additional context for reflect operations | +| `reflect_max_tokens` | `None` | Max tokens for reflect results (defaults to `max_tokens`) | +| `reflect_response_schema` | `None` | JSON schema to constrain reflect output format | +| `reflect_tags` | `None` | Tags to filter memories used in reflect (defaults to `recall_tags`) | +| `reflect_tags_match` | `None` | Tag matching for reflect (defaults to `recall_tags_match`) | +| `include_retain` | `True` | Include the retain (store) tool | +| `include_recall` | `True` | Include the recall (search) tool | +| `include_reflect` | `True` | Include the reflect (synthesize) tool | + +## Requirements + +- Python >= 3.10 +- autogen-core >= 0.4.0 +- hindsight-client >= 0.4.0 + +## Documentation + +- [Integration docs](https://docs.hindsight.vectorize.io/docs/sdks/integrations/autogen) +- [Cookbook: AutoGen assistant with memory](https://docs.hindsight.vectorize.io/cookbook/recipes/autogen-assistant-agent) +- [Hindsight API docs](https://docs.hindsight.vectorize.io) diff --git a/hindsight-integrations/autogen/hindsight_autogen/__init__.py b/hindsight-integrations/autogen/hindsight_autogen/__init__.py new file mode 100644 index 00000000..e49473a4 --- /dev/null +++ b/hindsight-integrations/autogen/hindsight_autogen/__init__.py @@ -0,0 +1,36 @@ +"""Hindsight-AutoGen: Persistent memory tools for AutoGen agents. + +Provides ``FunctionTool`` instances that give AutoGen agents long-term memory +via Hindsight's retain/recall/reflect APIs. + +Basic usage:: + + from hindsight_client import Hindsight + from hindsight_autogen import create_hindsight_tools + + client = Hindsight(base_url="http://localhost:8888") + tools = create_hindsight_tools(client=client, bank_id="user-123") + + # Use with an AutoGen AssistantAgent + agent = AssistantAgent(name="assistant", model_client=model, tools=tools) +""" + +from .config import ( + HindsightAutoGenConfig, + configure, + get_config, + reset_config, +) +from .errors import HindsightError +from .tools import create_hindsight_tools + +__version__ = "0.1.0" + +__all__ = [ + "configure", + "get_config", + "reset_config", + "HindsightAutoGenConfig", + "HindsightError", + "create_hindsight_tools", +] diff --git a/hindsight-integrations/autogen/hindsight_autogen/_client.py b/hindsight-integrations/autogen/hindsight_autogen/_client.py new file mode 100644 index 00000000..4f152a94 --- /dev/null +++ b/hindsight-integrations/autogen/hindsight_autogen/_client.py @@ -0,0 +1,34 @@ +"""Shared Hindsight client resolution logic.""" + +from __future__ import annotations + +from typing import Any + +from hindsight_client import Hindsight + +from .config import get_config +from .errors import HindsightError + + +def resolve_client( + client: Hindsight | None, + hindsight_api_url: str | None, + api_key: str | None, +) -> Hindsight: + """Resolve a Hindsight client from explicit args or global config.""" + if client is not None: + return client + + config = get_config() + url = hindsight_api_url or (config.hindsight_api_url if config else None) + key = api_key or (config.api_key if config else None) + + if url is None: + raise HindsightError( + "No Hindsight API URL configured. Pass client= or hindsight_api_url=, or call configure() first." + ) + + kwargs: dict[str, Any] = {"base_url": url, "timeout": 30.0} + if key: + kwargs["api_key"] = key + return Hindsight(**kwargs) diff --git a/hindsight-integrations/autogen/hindsight_autogen/config.py b/hindsight-integrations/autogen/hindsight_autogen/config.py new file mode 100644 index 00000000..b1000ef4 --- /dev/null +++ b/hindsight-integrations/autogen/hindsight_autogen/config.py @@ -0,0 +1,95 @@ +"""Global configuration for Hindsight-AutoGen integration.""" + +from __future__ import annotations + +import os +from dataclasses import dataclass +from typing import Literal + +DEFAULT_HINDSIGHT_API_URL = "https://api.hindsight.vectorize.io" +HINDSIGHT_API_KEY_ENV = "HINDSIGHT_API_KEY" + +DEFAULT_BUDGET: Literal["low", "mid", "high"] = "mid" +DEFAULT_MAX_TOKENS = 4096 +DEFAULT_RECALL_TAGS_MATCH: Literal["any", "all", "any_strict", "all_strict"] = "any" + +Budget = Literal["low", "mid", "high"] +TagsMatch = Literal["any", "all", "any_strict", "all_strict"] + + +@dataclass +class HindsightAutoGenConfig: + """Connection and default settings for the AutoGen integration. + + Attributes: + hindsight_api_url: URL of the Hindsight API server. + api_key: API key for Hindsight authentication. + budget: Default recall budget level (low/mid/high). + max_tokens: Default maximum tokens for recall results. + tags: Default tags applied when storing memories. + recall_tags: Default tags to filter when searching memories. + recall_tags_match: Tag matching mode (any/all/any_strict/all_strict). + """ + + hindsight_api_url: str = DEFAULT_HINDSIGHT_API_URL + api_key: str | None = None + budget: Budget = DEFAULT_BUDGET + max_tokens: int = DEFAULT_MAX_TOKENS + tags: list[str] | None = None + recall_tags: list[str] | None = None + recall_tags_match: TagsMatch = DEFAULT_RECALL_TAGS_MATCH + + +_global_config: HindsightAutoGenConfig | None = None + + +def configure( + hindsight_api_url: str | None = None, + api_key: str | None = None, + budget: Budget = DEFAULT_BUDGET, + max_tokens: int = DEFAULT_MAX_TOKENS, + tags: list[str] | None = None, + recall_tags: list[str] | None = None, + recall_tags_match: TagsMatch = DEFAULT_RECALL_TAGS_MATCH, +) -> HindsightAutoGenConfig: + """Configure Hindsight connection and default settings. + + Args: + hindsight_api_url: Hindsight API URL (default: production). + api_key: API key. Falls back to HINDSIGHT_API_KEY env var. + budget: Default recall budget (low/mid/high). + max_tokens: Default max tokens for recall. + tags: Default tags for retain operations. + recall_tags: Default tags to filter recall/search. + recall_tags_match: Tag matching mode. + + Returns: + The configured HindsightAutoGenConfig. + """ + global _global_config + + resolved_url = hindsight_api_url or DEFAULT_HINDSIGHT_API_URL + resolved_key = api_key or os.environ.get(HINDSIGHT_API_KEY_ENV) + + _global_config = HindsightAutoGenConfig( + hindsight_api_url=resolved_url, + api_key=resolved_key, + budget=budget, + max_tokens=max_tokens, + tags=tags, + recall_tags=recall_tags, + recall_tags_match=recall_tags_match, + ) + + return _global_config + + +def get_config() -> HindsightAutoGenConfig | None: + """Get the current global configuration.""" + return _global_config + + +def reset_config() -> None: + """Reset global configuration to None.""" + global _global_config + _global_config = None diff --git a/hindsight-integrations/autogen/hindsight_autogen/errors.py b/hindsight-integrations/autogen/hindsight_autogen/errors.py new file mode 100644 index 00000000..5341ef5f --- /dev/null +++ b/hindsight-integrations/autogen/hindsight_autogen/errors.py @@ -0,0 +1,7 @@ +"""Hindsight-AutoGen error types.""" + + +class HindsightError(Exception): + """Exception raised when a Hindsight memory operation fails.""" + + pass diff --git a/hindsight-integrations/autogen/hindsight_autogen/py.typed b/hindsight-integrations/autogen/hindsight_autogen/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/hindsight-integrations/autogen/hindsight_autogen/tools.py b/hindsight-integrations/autogen/hindsight_autogen/tools.py new file mode 100644 index 00000000..dae05e3e --- /dev/null +++ b/hindsight-integrations/autogen/hindsight_autogen/tools.py @@ -0,0 +1,235 @@ +"""AutoGen tool definitions for Hindsight memory operations. + +Provides a factory function that creates AutoGen-compatible ``FunctionTool`` +instances backed by Hindsight's retain/recall/reflect APIs. These tools can +be passed directly to ``AssistantAgent(tools=[...])``. +""" + +from __future__ import annotations + +import logging +from typing import Any + +from autogen_core.tools import FunctionTool +from hindsight_client import Hindsight + +from ._client import resolve_client +from .config import ( + DEFAULT_BUDGET, + DEFAULT_MAX_TOKENS, + DEFAULT_RECALL_TAGS_MATCH, + Budget, + TagsMatch, + get_config, +) +from .errors import HindsightError + +logger = logging.getLogger(__name__) + + +def create_hindsight_tools( + *, + bank_id: str, + client: Hindsight | None = None, + hindsight_api_url: str | None = None, + api_key: str | None = None, + budget: Budget | None = None, + max_tokens: int | None = None, + tags: list[str] | None = None, + recall_tags: list[str] | None = None, + recall_tags_match: TagsMatch | None = None, + # Retain options + retain_metadata: dict[str, str] | None = None, + retain_document_id: str | None = None, + # Recall options + recall_types: list[str] | None = None, + recall_include_entities: bool = False, + # Reflect options + reflect_context: str | None = None, + reflect_max_tokens: int | None = None, + reflect_response_schema: dict[str, Any] | None = None, + reflect_tags: list[str] | None = None, + reflect_tags_match: TagsMatch | None = None, + include_retain: bool = True, + include_recall: bool = True, + include_reflect: bool = True, +) -> list[FunctionTool]: + """Create Hindsight memory tools for an AutoGen agent. + + Returns a list of ``FunctionTool`` instances compatible with AutoGen's + ``AssistantAgent(tools=[...])``. + + Args: + bank_id: The Hindsight memory bank to operate on. + client: Pre-configured Hindsight client (preferred). + hindsight_api_url: API URL (used if no client provided). + api_key: API key (used if no client provided). + budget: Recall/reflect budget level (low/mid/high). + max_tokens: Maximum tokens for recall results. + tags: Tags applied when storing memories via retain. + recall_tags: Tags to filter when searching memories. + recall_tags_match: Tag matching mode (any/all/any_strict/all_strict). + retain_metadata: Default metadata dict for retain operations. + retain_document_id: Default document_id for retain (groups/upserts memories). + recall_types: Fact types to filter (world, experience, opinion, observation). + recall_include_entities: Include entity information in recall results. + reflect_context: Additional context for reflect operations. + reflect_max_tokens: Max tokens for reflect results (defaults to max_tokens). + reflect_response_schema: JSON schema to constrain reflect output format. + reflect_tags: Tags to filter memories used in reflect (defaults to recall_tags). + reflect_tags_match: Tag matching for reflect (defaults to recall_tags_match). + include_retain: Include the retain (store) tool. + include_recall: Include the recall (search) tool. + include_reflect: Include the reflect (synthesize) tool. + + Returns: + List of AutoGen FunctionTool instances. + + Raises: + HindsightError: If no client or API URL can be resolved. + """ + resolved_client = resolve_client(client, hindsight_api_url, api_key) + + config = get_config() + effective_tags = tags if tags is not None else (config.tags if config else None) + effective_recall_tags = recall_tags if recall_tags is not None else (config.recall_tags if config else None) + effective_recall_tags_match = ( + recall_tags_match + if recall_tags_match is not None + else (config.recall_tags_match if config else DEFAULT_RECALL_TAGS_MATCH) + ) + effective_budget = budget if budget is not None else (config.budget if config else DEFAULT_BUDGET) + effective_max_tokens = ( + max_tokens if max_tokens is not None else (config.max_tokens if config else DEFAULT_MAX_TOKENS) + ) + + tools: list[FunctionTool] = [] + + if include_retain: + + async def hindsight_retain(content: str) -> str: + """Store information to long-term memory for later retrieval. + + Use this to save important facts, user preferences, decisions, + or any information that should be remembered across conversations. + + Args: + content: The information to store in memory. + """ + try: + retain_kwargs: dict[str, Any] = {"bank_id": bank_id, "content": content} + if effective_tags: + retain_kwargs["tags"] = effective_tags + if retain_metadata: + retain_kwargs["metadata"] = retain_metadata + if retain_document_id: + retain_kwargs["document_id"] = retain_document_id + await resolved_client.aretain(**retain_kwargs) + return "Memory stored successfully." + except HindsightError: + raise + except Exception as e: + logger.error("Retain failed: %s", e) + raise HindsightError(f"Retain failed: {e}") from e + + tools.append( + FunctionTool( + hindsight_retain, + description="Store information to long-term memory for later retrieval.", + name="hindsight_retain", + ) + ) + + if include_recall: + + async def hindsight_recall(query: str) -> str: + """Search long-term memory for relevant information. + + Use this to find previously stored facts, preferences, or context. + Returns a numbered list of matching memories. + + Args: + query: What to search for in memory. + """ + try: + recall_kwargs: dict[str, Any] = { + "bank_id": bank_id, + "query": query, + "budget": effective_budget, + "max_tokens": effective_max_tokens, + } + if effective_recall_tags: + recall_kwargs["tags"] = effective_recall_tags + recall_kwargs["tags_match"] = effective_recall_tags_match + if recall_types: + recall_kwargs["types"] = recall_types + if recall_include_entities: + recall_kwargs["include_entities"] = True + response = await resolved_client.arecall(**recall_kwargs) + if not response.results: + return "No relevant memories found." + lines = [] + for i, result in enumerate(response.results, 1): + lines.append(f"{i}. {result.text}") + return "\n".join(lines) + except HindsightError: + raise + except Exception as e: + logger.error("Recall failed: %s", e) + raise HindsightError(f"Recall failed: {e}") from e + + tools.append( + FunctionTool( + hindsight_recall, + description="Search long-term memory for relevant information.", + name="hindsight_recall", + ) + ) + + if include_reflect: + + async def hindsight_reflect(query: str) -> str: + """Synthesize a thoughtful answer from long-term memories. + + Use this when you need a coherent summary or reasoned response + about what you know, rather than raw memory facts. + + Args: + query: The question to reflect on using stored memories. + """ + try: + reflect_kwargs: dict[str, Any] = { + "bank_id": bank_id, + "query": query, + "budget": effective_budget, + } + if reflect_context: + reflect_kwargs["context"] = reflect_context + effective_reflect_max = reflect_max_tokens or effective_max_tokens + if effective_reflect_max: + reflect_kwargs["max_tokens"] = effective_reflect_max + if reflect_response_schema: + reflect_kwargs["response_schema"] = reflect_response_schema + # Reflect tags: use reflect-specific or fall back to recall tags + effective_reflect_tags = reflect_tags if reflect_tags is not None else effective_recall_tags + effective_reflect_tags_match = reflect_tags_match or effective_recall_tags_match + if effective_reflect_tags: + reflect_kwargs["tags"] = effective_reflect_tags + reflect_kwargs["tags_match"] = effective_reflect_tags_match + response = await resolved_client.areflect(**reflect_kwargs) + return response.text or "No relevant memories found." + except HindsightError: + raise + except Exception as e: + logger.error("Reflect failed: %s", e) + raise HindsightError(f"Reflect failed: {e}") from e + + tools.append( + FunctionTool( + hindsight_reflect, + description="Synthesize a thoughtful answer from long-term memories.", + name="hindsight_reflect", + ) + ) + + return tools diff --git a/hindsight-integrations/autogen/pyproject.toml b/hindsight-integrations/autogen/pyproject.toml new file mode 100644 index 00000000..d839872c --- /dev/null +++ b/hindsight-integrations/autogen/pyproject.toml @@ -0,0 +1,59 @@ +[project] +name = "hindsight-autogen" +version = "0.1.0" +description = "AutoGen integration for Hindsight - persistent memory tools for AI agents" +readme = "README.md" +requires-python = ">=3.10" +license = { text = "MIT" } +authors = [ + { name = "Vectorize", email = "support@vectorize.io" } +] +keywords = [ + "ai", + "memory", + "autogen", + "agents", + "hindsight", +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Scientific/Engineering :: Artificial Intelligence", +] + +dependencies = [ + "autogen-core>=0.4.0", + "hindsight-client>=0.4.0", +] + +[project.urls] +Homepage = "https://github.com/vectorize-io/hindsight" +Documentation = "https://github.com/vectorize-io/hindsight/tree/main/hindsight-integrations/autogen" +Repository = "https://github.com/vectorize-io/hindsight" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["hindsight_autogen"] + +[tool.ruff] +line-length = 120 + +[tool.pytest.ini_options] +testpaths = ["tests"] +asyncio_mode = "auto" + +[dependency-groups] +dev = [ + "autogen-agentchat>=0.4.0", + "pytest>=9.0.2", + "pytest-asyncio>=0.23.0", + "ruff>=0.4.0", +] diff --git a/hindsight-integrations/autogen/tests/__init__.py b/hindsight-integrations/autogen/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/hindsight-integrations/autogen/tests/test_tools.py b/hindsight-integrations/autogen/tests/test_tools.py new file mode 100644 index 00000000..07756f32 --- /dev/null +++ b/hindsight-integrations/autogen/tests/test_tools.py @@ -0,0 +1,486 @@ +"""Unit tests for Hindsight AutoGen tools.""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest +from autogen_core import CancellationToken +from hindsight_autogen import ( + configure, + create_hindsight_tools, + reset_config, +) +from hindsight_autogen.errors import HindsightError + + +def _mock_client(): + """Create a mock Hindsight client with async methods.""" + client = MagicMock() + client.aretain = AsyncMock() + client.arecall = AsyncMock() + client.areflect = AsyncMock() + return client + + +def _mock_recall_response(texts: list[str]): + response = MagicMock() + results = [] + for t in texts: + r = MagicMock() + r.text = t + results.append(r) + response.results = results + return response + + +def _mock_reflect_response(text: str): + response = MagicMock() + response.text = text + return response + + +def _mock_retain_response(): + response = MagicMock() + response.success = True + return response + + +async def _run(tool, args: dict) -> str: + """Invoke an AutoGen FunctionTool and return the string result.""" + result = await tool.run_json(args, CancellationToken()) + return str(result) + + +class TestCreateHindsightTools: + def setup_method(self): + reset_config() + + def teardown_method(self): + reset_config() + + def test_returns_three_tools_by_default(self): + client = _mock_client() + tools = create_hindsight_tools(bank_id="test", client=client) + assert len(tools) == 3 + + def test_tool_names(self): + client = _mock_client() + tools = create_hindsight_tools(bank_id="test", client=client) + names = [t.name for t in tools] + assert names == ["hindsight_retain", "hindsight_recall", "hindsight_reflect"] + + def test_include_retain_only(self): + client = _mock_client() + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=True, + include_recall=False, + include_reflect=False, + ) + assert len(tools) == 1 + assert tools[0].name == "hindsight_retain" + + def test_include_recall_only(self): + client = _mock_client() + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_recall=True, + include_reflect=False, + ) + assert len(tools) == 1 + assert tools[0].name == "hindsight_recall" + + def test_include_reflect_only(self): + client = _mock_client() + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_recall=False, + include_reflect=True, + ) + assert len(tools) == 1 + assert tools[0].name == "hindsight_reflect" + + def test_no_tools_when_all_excluded(self): + client = _mock_client() + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_recall=False, + include_reflect=False, + ) + assert len(tools) == 0 + + def test_raises_without_client_or_config(self): + with pytest.raises(HindsightError, match="No Hindsight API URL"): + create_hindsight_tools(bank_id="test") + + def test_falls_back_to_global_config(self): + configure(hindsight_api_url="http://localhost:8888") + with patch("hindsight_autogen._client.Hindsight") as mock_cls: + mock_cls.return_value = _mock_client() + tools = create_hindsight_tools(bank_id="test") + assert len(tools) == 3 + mock_cls.assert_called_once_with(base_url="http://localhost:8888", timeout=30.0) + + def test_explicit_url_overrides_config(self): + configure(hindsight_api_url="http://config:8888") + with patch("hindsight_autogen._client.Hindsight") as mock_cls: + mock_cls.return_value = _mock_client() + create_hindsight_tools(bank_id="test", hindsight_api_url="http://explicit:9999") + mock_cls.assert_called_once_with(base_url="http://explicit:9999", timeout=30.0) + + +class TestRetainTool: + @pytest.mark.asyncio + async def test_retain_stores_memory(self): + client = _mock_client() + client.aretain.return_value = _mock_retain_response() + tools = create_hindsight_tools( + bank_id="test-bank", + client=client, + include_recall=False, + include_reflect=False, + ) + result = await _run(tools[0], {"content": "The user likes Python"}) + assert result == "Memory stored successfully." + client.aretain.assert_called_once_with(bank_id="test-bank", content="The user likes Python") + + @pytest.mark.asyncio + async def test_retain_passes_tags(self): + client = _mock_client() + client.aretain.return_value = _mock_retain_response() + tools = create_hindsight_tools( + bank_id="test-bank", + client=client, + tags=["source:chat"], + include_recall=False, + include_reflect=False, + ) + await _run(tools[0], {"content": "some content"}) + call_kwargs = client.aretain.call_args[1] + assert call_kwargs["tags"] == ["source:chat"] + + @pytest.mark.asyncio + async def test_retain_passes_metadata(self): + client = _mock_client() + client.aretain.return_value = _mock_retain_response() + tools = create_hindsight_tools( + bank_id="test", + client=client, + retain_metadata={"source": "chat", "session": "abc"}, + include_recall=False, + include_reflect=False, + ) + await _run(tools[0], {"content": "content"}) + call_kwargs = client.aretain.call_args[1] + assert call_kwargs["metadata"] == {"source": "chat", "session": "abc"} + + @pytest.mark.asyncio + async def test_retain_passes_document_id(self): + client = _mock_client() + client.aretain.return_value = _mock_retain_response() + tools = create_hindsight_tools( + bank_id="test", + client=client, + retain_document_id="session-123", + include_recall=False, + include_reflect=False, + ) + await _run(tools[0], {"content": "content"}) + call_kwargs = client.aretain.call_args[1] + assert call_kwargs["document_id"] == "session-123" + + @pytest.mark.asyncio + async def test_retain_raises_hindsight_error(self): + client = _mock_client() + client.aretain.side_effect = RuntimeError("connection refused") + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_recall=False, + include_reflect=False, + ) + with pytest.raises(HindsightError, match="Retain failed"): + await _run(tools[0], {"content": "content"}) + + +class TestRecallTool: + @pytest.mark.asyncio + async def test_recall_returns_numbered_results(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["User likes Python", "User is in NYC"]) + tools = create_hindsight_tools( + bank_id="test-bank", + client=client, + include_retain=False, + include_reflect=False, + ) + result = await _run(tools[0], {"query": "user preferences"}) + assert "1. User likes Python" in result + assert "2. User is in NYC" in result + + @pytest.mark.asyncio + async def test_recall_empty_results(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response([]) + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_reflect=False, + ) + result = await _run(tools[0], {"query": "anything"}) + assert result == "No relevant memories found." + + @pytest.mark.asyncio + async def test_recall_passes_budget_and_max_tokens(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + tools = create_hindsight_tools( + bank_id="test", + client=client, + budget="high", + max_tokens=2048, + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["budget"] == "high" + assert call_kwargs["max_tokens"] == 2048 + + @pytest.mark.asyncio + async def test_recall_passes_tags(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + tools = create_hindsight_tools( + bank_id="test", + client=client, + recall_tags=["scope:user"], + recall_tags_match="all", + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["tags"] == ["scope:user"] + assert call_kwargs["tags_match"] == "all" + + @pytest.mark.asyncio + async def test_recall_passes_types(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + tools = create_hindsight_tools( + bank_id="test", + client=client, + recall_types=["world", "experience"], + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["types"] == ["world", "experience"] + + @pytest.mark.asyncio + async def test_recall_passes_include_entities(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + tools = create_hindsight_tools( + bank_id="test", + client=client, + recall_include_entities=True, + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["include_entities"] is True + + @pytest.mark.asyncio + async def test_recall_raises_hindsight_error(self): + client = _mock_client() + client.arecall.side_effect = RuntimeError("timeout") + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_reflect=False, + ) + with pytest.raises(HindsightError, match="Recall failed"): + await _run(tools[0], {"query": "query"}) + + +class TestReflectTool: + @pytest.mark.asyncio + async def test_reflect_returns_text(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response( + "The user is a Python developer who prefers functional patterns." + ) + tools = create_hindsight_tools( + bank_id="test-bank", + client=client, + include_retain=False, + include_recall=False, + ) + result = await _run(tools[0], {"query": "What do you know about the user?"}) + assert result == "The user is a Python developer who prefers functional patterns." + + @pytest.mark.asyncio + async def test_reflect_empty_returns_fallback(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response("") + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_recall=False, + ) + result = await _run(tools[0], {"query": "anything"}) + assert result == "No relevant memories found." + + @pytest.mark.asyncio + async def test_reflect_passes_budget(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response("answer") + tools = create_hindsight_tools( + bank_id="test", + client=client, + budget="high", + include_retain=False, + include_recall=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.areflect.call_args[1] + assert call_kwargs["budget"] == "high" + + @pytest.mark.asyncio + async def test_reflect_passes_context(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response("answer") + tools = create_hindsight_tools( + bank_id="test", + client=client, + reflect_context="The user is asking about project setup", + include_retain=False, + include_recall=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.areflect.call_args[1] + assert call_kwargs["context"] == "The user is asking about project setup" + + @pytest.mark.asyncio + async def test_reflect_passes_max_tokens_and_response_schema(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response("answer") + schema = {"type": "object", "properties": {"summary": {"type": "string"}}} + tools = create_hindsight_tools( + bank_id="test", + client=client, + reflect_max_tokens=2048, + reflect_response_schema=schema, + include_retain=False, + include_recall=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.areflect.call_args[1] + assert call_kwargs["max_tokens"] == 2048 + assert call_kwargs["response_schema"] == schema + + @pytest.mark.asyncio + async def test_reflect_passes_tags(self): + client = _mock_client() + client.areflect.return_value = _mock_reflect_response("answer") + tools = create_hindsight_tools( + bank_id="test", + client=client, + reflect_tags=["scope:global"], + reflect_tags_match="all", + include_retain=False, + include_recall=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.areflect.call_args[1] + assert call_kwargs["tags"] == ["scope:global"] + assert call_kwargs["tags_match"] == "all" + + @pytest.mark.asyncio + async def test_reflect_raises_hindsight_error(self): + client = _mock_client() + client.areflect.side_effect = RuntimeError("timeout") + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_recall=False, + ) + with pytest.raises(HindsightError, match="Reflect failed"): + await _run(tools[0], {"query": "query"}) + + +class TestConfigFallback: + def setup_method(self): + reset_config() + + def teardown_method(self): + reset_config() + + @pytest.mark.asyncio + async def test_config_budget_used_when_no_explicit(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + configure( + hindsight_api_url="http://localhost:8888", + budget="low", + ) + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["budget"] == "low" + + @pytest.mark.asyncio + async def test_explicit_budget_overrides_config(self): + client = _mock_client() + client.arecall.return_value = _mock_recall_response(["fact"]) + configure( + hindsight_api_url="http://localhost:8888", + budget="low", + ) + tools = create_hindsight_tools( + bank_id="test", + client=client, + budget="high", + include_retain=False, + include_reflect=False, + ) + await _run(tools[0], {"query": "query"}) + call_kwargs = client.arecall.call_args[1] + assert call_kwargs["budget"] == "high" + + @pytest.mark.asyncio + async def test_config_tags_used_for_retain(self): + client = _mock_client() + client.aretain.return_value = _mock_retain_response() + configure( + hindsight_api_url="http://localhost:8888", + tags=["env:test"], + ) + tools = create_hindsight_tools( + bank_id="test", + client=client, + include_recall=False, + include_reflect=False, + ) + await _run(tools[0], {"content": "content"}) + call_kwargs = client.aretain.call_args[1] + assert call_kwargs["tags"] == ["env:test"] diff --git a/hindsight-integrations/autogen/uv.lock b/hindsight-integrations/autogen/uv.lock new file mode 100644 index 00000000..48921d39 --- /dev/null +++ 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hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276 }, +] diff --git a/scripts/release-integration.sh b/scripts/release-integration.sh index d1d0d60a..d5251558 100755 --- a/scripts/release-integration.sh +++ b/scripts/release-integration.sh @@ -13,7 +13,7 @@ print_info() { echo -e "${GREEN}[INFO]${NC} $1"; } print_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; } print_error() { echo -e "${RED}[ERROR]${NC} $1"; } -VALID_INTEGRATIONS=("litellm" "pydantic-ai" "crewai" "ag2" "ai-sdk" "chat" "openclaw" "langgraph" "llamaindex" "nemoclaw" "strands" "claude-code" "codex" "hermes") +VALID_INTEGRATIONS=("litellm" "pydantic-ai" "crewai" "ag2" "ai-sdk" "chat" "openclaw" "langgraph" "llamaindex" "nemoclaw" "strands" "claude-code" "codex" "hermes" "autogen") usage() { print_error "Usage: $0 "