From 6e1d59ab7f7fd7e4cb21e21448226852aab2e809 Mon Sep 17 00:00:00 2001 From: Diwank Singh Tomer Date: Tue, 24 Dec 2024 22:54:01 +0530 Subject: [PATCH] wip(documentation): Work on mintlify docs Signed-off-by: Diwank Singh Tomer --- agents-api/agents_api/activities/utils.py | 1 - agents-api/agents_api/metrics/counters.py | 8 +- .../routers/healthz/check_health.py | 3 +- documentation/README.md | 18 +- .../api-reference/endpoint/create.mdx | 4 - .../api-reference/endpoint/delete.mdx | 4 - documentation/api-reference/endpoint/get.mdx | 4 - documentation/api-reference/introduction.mdx | 64 ++- documentation/api-reference/openapi.json | 195 -------- .../building-blocks/agents/agent-memory.mdx | 195 ++++++++ .../building-blocks/agents/agent-tools.mdx | 291 ++++++++++++ .../agents/creating-agents.mdx | 127 +++++ .../doc-store/document-integration.mdx | 438 ++++++++++++++++++ .../doc-store/document-management.mdx | 338 ++++++++++++++ .../doc-store/vector-search.mdx | 390 ++++++++++++++++ .../sessions/context-and-state.mdx | 404 ++++++++++++++++ .../sessions/session-management.mdx | 366 +++++++++++++++ .../building-blocks/tasks/control-flow.mdx | 413 +++++++++++++++++ .../building-blocks/tasks/task-basics.mdx | 318 +++++++++++++ .../building-blocks/tasks/workflow-steps.mdx | 365 +++++++++++++++ .../building-blocks/users/user-context.mdx | 373 +++++++++++++++ .../building-blocks/users/user-management.mdx | 385 +++++++++++++++ .../building-blocks/users/user-sessions.mdx | 396 ++++++++++++++++ documentation/essentials/code.mdx | 37 -- documentation/essentials/images.mdx | 59 --- documentation/essentials/markdown.mdx | 88 ---- documentation/essentials/navigation.mdx | 66 --- .../essentials/reusable-snippets.mdx | 110 ----- documentation/essentials/settings.mdx | 318 ------------- documentation/favicon.svg | 52 +-- .../getting-started/core-concepts.mdx | 189 ++++++++ .../getting-started/installation.mdx | 221 +++++++++ documentation/getting-started/quick-start.mdx | 189 ++++++++ documentation/images/checks-passed.png | Bin 160724 -> 0 bytes documentation/images/hero-dark.svg | 161 ------- documentation/images/hero-light.svg | 155 ------- documentation/images/julep-hero-dark.png | Bin 0 -> 1674130 bytes documentation/images/julep-hero-light.png | Bin 0 -> 1534933 bytes documentation/introduction.mdx | 71 --- .../introduction/architecture-overview.mdx | 117 +++++ documentation/introduction/key-features.mdx | 89 ++++ documentation/introduction/what-is-julep.mdx | 51 ++ documentation/logo/dark.svg | 58 +-- documentation/logo/light.svg | 54 +-- documentation/mint.json | 332 +++++++++++-- documentation/openapi.yaml | 1 + documentation/quickstart.mdx | 86 ---- documentation/sdks/index.mdx | 219 +++++++++ documentation/sdks/nodejs/advanced-usage.mdx | 339 ++++++++++++++ documentation/sdks/nodejs/agents.mdx | 182 ++++++++ documentation/sdks/nodejs/installation.mdx | 132 ++++++ documentation/sdks/nodejs/reference.mdx | 8 + documentation/sdks/nodejs/sessions.mdx | 218 +++++++++ documentation/sdks/nodejs/tasks.mdx | 217 +++++++++ .../sdks/nodejs/tools-integration.mdx | 262 +++++++++++ documentation/sdks/python/advanced-usage.mdx | 121 +++++ documentation/sdks/python/agents.mdx | 118 +++++ documentation/sdks/python/installation.mdx | 68 +++ documentation/sdks/python/reference.mdx | 8 + documentation/sdks/python/sessions.mdx | 158 +++++++ documentation/sdks/python/tasks.mdx | 170 +++++++ .../sdks/python/tools-integration.mdx | 192 ++++++++ documentation/snippets/node-sdk.mdx | 1 + documentation/snippets/python-sdk.mdx | 1 + documentation/snippets/snippet-intro.mdx | 4 - 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from ..models.session.delete_session import delete_session as delete_session_query from ..models.session.get_session import get_session as get_session_query from ..models.session.list_sessions import list_sessions as list_sessions_query from ..models.session.update_session import update_session as update_session_query diff --git a/agents-api/agents_api/metrics/counters.py b/agents-api/agents_api/metrics/counters.py index c5455248b..d9707ea56 100644 --- a/agents-api/agents_api/metrics/counters.py +++ b/agents-api/agents_api/metrics/counters.py @@ -34,17 +34,17 @@ INF, ) counter = Counter( - f"db_query_counter", - f"Number of db calls", + "db_query_counter", + "Number of db calls", labelnames=labelnames, ) summary = Summary( - f"db_query_latency_summary", + "db_query_latency_summary", "Database query latency summary", labelnames=labelnames, ) hist = Histogram( - f"db_query_latency_hist", + "db_query_latency_hist", "Database query latency histogram", labelnames=labelnames, buckets=buckets, diff --git a/agents-api/agents_api/routers/healthz/check_health.py b/agents-api/agents_api/routers/healthz/check_health.py index 74e9f5c6c..5a466ba39 100644 --- a/agents-api/agents_api/routers/healthz/check_health.py +++ b/agents-api/agents_api/routers/healthz/check_health.py @@ -1,7 +1,6 @@ import logging from uuid import UUID -from ...autogen.openapi_model import Agent, ListResponse from ...models.agent.list_agents import list_agents as list_agents_query from .router import router @@ -10,7 +9,7 @@ async def check_health() -> dict: try: # Check if the database is reachable - agents = list_agents_query( + list_agents_query( developer_id=UUID("00000000-0000-0000-0000-000000000000"), ) except Exception as e: diff --git a/documentation/README.md b/documentation/README.md index 4cbe0750c..fa97a7aa3 100644 --- a/documentation/README.md +++ b/documentation/README.md @@ -1,14 +1,6 @@ -# Mintlify Starter Kit +# Julep Mintlify Documentation -Click on `Use this template` to copy the Mintlify starter kit. The starter kit contains examples including - -- Guide pages -- Navigation -- Customizations -- API Reference pages -- Use of popular components - -### Development +## Development Install the [Mintlify CLI](https://www.npmjs.com/package/mintlify) to preview the documentation changes locally. To install, use the following command @@ -22,11 +14,7 @@ Run the following command at the root of your documentation (where mint.json is) mintlify dev ``` -### Publishing Changes - -Install our Github App to auto propagate changes from your repo to your deployment. Changes will be deployed to production automatically after pushing to the default branch. Find the link to install on your dashboard. - -#### Troubleshooting +### Troubleshooting - Mintlify dev isn't running - Run `mintlify install` it'll re-install dependencies. - Page loads as a 404 - Make sure you are running in a folder with `mint.json` diff --git a/documentation/api-reference/endpoint/create.mdx b/documentation/api-reference/endpoint/create.mdx deleted file mode 100644 index 5689f1b65..000000000 --- a/documentation/api-reference/endpoint/create.mdx +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: 'Create Plant' -openapi: 'POST /plants' ---- diff --git a/documentation/api-reference/endpoint/delete.mdx b/documentation/api-reference/endpoint/delete.mdx deleted file mode 100644 index 657dfc871..000000000 --- a/documentation/api-reference/endpoint/delete.mdx +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: 'Delete Plant' -openapi: 'DELETE /plants/{id}' ---- diff --git a/documentation/api-reference/endpoint/get.mdx b/documentation/api-reference/endpoint/get.mdx deleted file mode 100644 index 56aa09ec1..000000000 --- a/documentation/api-reference/endpoint/get.mdx +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: 'Get Plants' -openapi: 'GET /plants' ---- diff --git a/documentation/api-reference/introduction.mdx b/documentation/api-reference/introduction.mdx index c835b78b5..377e76f17 100644 --- a/documentation/api-reference/introduction.mdx +++ b/documentation/api-reference/introduction.mdx @@ -1,33 +1,51 @@ --- -title: 'Introduction' -description: 'Example section for showcasing API endpoints' +title: Introduction +description: 'Introduction to the Julep REST API' --- - - If you're not looking to build API reference documentation, you can delete - this section by removing the api-reference folder. - + + + Create, update, and manage AI agents + + + Create and execute AI tasks and workflows + + + Manage conversation sessions and state + + + Register and manage agent tools + + -## Welcome +## Authentication -There are two ways to build API documentation: [OpenAPI](https://mintlify.com/docs/api-playground/openapi/setup) and [MDX components](https://mintlify.com/docs/api-playground/mdx/configuration). For the starter kit, we are using the following OpenAPI specification. + + Authentication is done via API keys. + - - View the OpenAPI specification file - +API keys are used to authenticate requests to the Julep API. They can be created in the [Julep dashboard](https://dashboard.julep.ai). -## Authentication +To create an API key, go to the Julep dashboard and navigate to the "API Keys" section. -All API endpoints are authenticated using Bearer tokens and picked up from the specification file. +To use an API key, include it in the `Authorization` header of your request. -```json -"security": [ - { - "bearerAuth": [] - } -] +``` +Authorization: Bearer YOUR_API_KEY ``` diff --git a/documentation/api-reference/openapi.json b/documentation/api-reference/openapi.json deleted file mode 100644 index b1509be04..000000000 --- a/documentation/api-reference/openapi.json +++ /dev/null @@ -1,195 +0,0 @@ -{ - "openapi": "3.0.1", - "info": { - "title": "OpenAPI Plant Store", - "description": "A sample API that uses a plant store as an example to demonstrate features in the OpenAPI specification", - "license": { - "name": "MIT" - }, - "version": "1.0.0" - }, - "servers": [ - { - "url": "http://sandbox.mintlify.com" - } - ], - "security": [ - { - "bearerAuth": [] - } - ], - "paths": { - "/plants": { - "get": { - "description": "Returns all plants from the system that the user has access to", - "parameters": [ - { - "name": "limit", - "in": "query", - "description": "The maximum number of results to return", - "schema": { - "type": "integer", - "format": "int32" - } - } - ], - "responses": { - "200": { - "description": "Plant response", - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Plant" - } - } - } - } - }, - "400": { - "description": "Unexpected error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } - } - }, - "post": { - "description": "Creates a new plant in the store", - "requestBody": { - "description": "Plant to add to the store", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/NewPlant" - } - } - }, - "required": true - }, - "responses": { - "200": { - "description": "plant response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Plant" - } - } - } - }, - "400": { - "description": "unexpected error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } - } - } - }, - "/plants/{id}": { - "delete": { - "description": "Deletes a single plant based on the ID supplied", - "parameters": [ - { - "name": "id", - "in": "path", - "description": "ID of plant to delete", - "required": true, - "schema": { - "type": "integer", - "format": "int64" - } - } - ], - "responses": { - "204": { - "description": "Plant deleted", - "content": {} - }, - "400": { - "description": "unexpected error", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Error" - } - } - } - } - } - } - } - }, - "components": { - "schemas": { - "Plant": { - "required": [ - "name" - ], - "type": "object", - "properties": { - "name": { - "description": "The name of the plant", - "type": "string" - }, - "tag": { - "description": "Tag to specify the type", - "type": "string" - } - } - }, - "NewPlant": { - "allOf": [ - { - "$ref": "#/components/schemas/Plant" - }, - { - "required": [ - "id" - ], - "type": "object", - "properties": { - "id": { - "description": "Identification number of the plant", - "type": "integer", - "format": "int64" - } - } - } - ] - }, - "Error": { - "required": [ - "error", - "message" - ], - "type": "object", - "properties": { - "error": { - "type": "integer", - "format": "int32" - }, - "message": { - "type": "string" - } - } - } - }, - "securitySchemes": { - "bearerAuth": { - "type": "http", - "scheme": "bearer" - } - } - } -} \ No newline at end of file diff --git a/documentation/building-blocks/agents/agent-memory.mdx b/documentation/building-blocks/agents/agent-memory.mdx new file mode 100644 index 000000000..d40e71d38 --- /dev/null +++ b/documentation/building-blocks/agents/agent-memory.mdx @@ -0,0 +1,195 @@ +--- +title: 'Agent Memory' +description: 'Understanding how agents maintain state and context across interactions' +--- + +## Overview + +Agent memory in Julep allows AI agents to maintain state and context across multiple interactions. This enables more coherent and contextually aware conversations and task executions. + +## Types of Memory + +Julep provides several types of memory for agents: + +### 1. Session Memory + +Session memory persists throughout a single conversation session: + +```python Python +# Create a session with memory +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive" # Memory management strategy +) +``` + +### 2. Long-term Memory + +Long-term memory persists across sessions and is stored in the agent's document store: + +```python Python +# Store information in long-term memory +document = client.agents.docs.create( + agent_id=agent.id, + title="User Preferences", + content="User prefers dark mode and concise responses", + metadata={"type": "preferences"} +) +``` + +### 3. Working Memory + +Working memory is available during task execution: + +```yaml +main: + - evaluate: + remembered_value: "some_value" + + - prompt: + - role: user + content: "Use the remembered value: {{_.remembered_value}}" +``` + +## Memory Management + +### Context Window Management + +Julep offers different strategies for managing context windows: + +1. **Fixed**: Maintains a fixed number of messages +2. **Adaptive**: Dynamically adjusts based on token usage +3. **Summary**: Periodically summarizes older context + +```python Python +session = client.sessions.create( + agent_id=agent.id, + context_overflow="adaptive", + max_messages=50 # Optional: limit number of messages +) +``` + +### Document Store + +The document store serves as long-term memory: + +```python Python +# Store a document +doc = client.agents.docs.create( + agent_id=agent.id, + title="Meeting Notes", + content="Important points from the meeting...", + metadata={"date": "2024-03-24"} +) + +# Search stored documents +results = client.agents.docs.search( + agent_id=agent.id, + text="meeting points", + metadata_filter={"date": "2024-03-24"} +) +``` + +## Memory Access in Tasks + +Tasks can access different types of memory: + +```yaml +main: + # Access session context + - prompt: + - role: system + content: "Previous context: {{session.context}}" + + # Search long-term memory + - tool: search_documents + arguments: + query: "user preferences" + + # Use working memory + - evaluate: + stored_value: "important_data" + - prompt: + - role: user + content: "Use the stored value: {{_.stored_value}}" +``` + +## Best Practices + +1. **Memory Organization** + - Use clear document titles and metadata + - Organize documents by type and purpose + - Regularly clean up outdated information + +2. **Context Management** + - Choose appropriate context overflow strategies + - Monitor token usage in sessions + - Use summaries for long conversations + +3. **Memory Usage** + - Store important information in long-term memory + - Use working memory for temporary data + - Leverage session memory for conversation context + +## Example: Complex Memory Usage + +Here's an example combining different types of memory: + +```python Python +# Create a session with memory management +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive", + metadata={ + "preferences": { + "language": "en", + "style": "formal" + } + } +) + +# Store long-term information +client.agents.docs.create( + agent_id=agent.id, + title="User Profile", + content="Detailed user preferences and history...", + metadata={ + "type": "profile", + "last_updated": "2024-03-24" + } +) + +# Create a task that uses multiple memory types +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + main: + # Access session context + - prompt: + - role: system + content: "Session context: {{session.context}}" + + # Search long-term memory + - tool: search_documents + arguments: + query: "user profile" + + # Store in working memory + - evaluate: + profile_data: _.documents[0].content + + # Use the combined information + - prompt: + - role: user + content: "Use profile data: {{_.profile_data}}" + """ +) +``` + +## Next Steps + +1. [Learn about agent tools](/building-blocks/agents/agent-tools) +2. [Understand task basics](/building-blocks/tasks/task-basics) +3. [Explore session management](/building-blocks/sessions/session-management) \ No newline at end of file diff --git a/documentation/building-blocks/agents/agent-tools.mdx b/documentation/building-blocks/agents/agent-tools.mdx new file mode 100644 index 000000000..98459b1e6 --- /dev/null +++ b/documentation/building-blocks/agents/agent-tools.mdx @@ -0,0 +1,291 @@ +--- +title: 'Agent Tools' +description: 'Adding and managing tools for Julep agents' +--- + +## Overview + +Tools in Julep extend an agent's capabilities by allowing them to interact with external services, perform computations, and access various APIs. This guide covers how to add and manage tools for your agents. + +## Tool Types + +Julep supports four types of tools: + +### 1. User-defined Functions + +Custom functions that you implement and handle on the client side: + +```python Python +# Define a tool +tool = client.agents.tools.create( + agent_id=agent.id, + name="calculate_total", + description="Calculate the total of a list of numbers", + function={ + "parameters": { + "type": "object", + "properties": { + "numbers": { + "type": "array", + "items": {"type": "number"} + } + } + } + } +) +``` + +### 2. System Tools + +Built-in tools for interacting with Julep's core functionality: + +```python Python +# Add a system tool +tool = client.agents.tools.create( + agent_id=agent.id, + name="list_documents", + description="List all documents for this agent", + system={ + "resource": "agent", + "subresource": "doc", + "operation": "list" + } +) +``` + +### 3. Integrations + +Pre-built integrations with third-party services: + +```python Python +# Add an integration +tool = client.agents.tools.create( + agent_id=agent.id, + name="search_web", + description="Search the web using Brave Search", + integration={ + "provider": "brave", + "method": "search", + "setup": { + "api_key": "your_brave_api_key" + } + } +) +``` + +### 4. API Calls + +Direct API calls to external services: + +```python Python +# Add an API call tool +tool = client.agents.tools.create( + agent_id=agent.id, + name="weather_api", + description="Get weather information", + api_call={ + "method": "GET", + "url": "https://api.weather.com/v1/current", + "headers": { + "Authorization": "Bearer {{agent.metadata.weather_api_key}}" + } + } +) +``` + +## Using Tools in Tasks + +Tools can be used in task workflows: + +```yaml +tools: + - name: web_search + integration: + provider: brave + method: search + + - name: summarize + function: + parameters: + type: object + properties: + text: + type: string + +main: + # Use the web search tool + - tool: web_search + arguments: + query: "Latest AI developments" + + # Use the results in a function + - tool: summarize + arguments: + text: _.search_results +``` + +## Available Integrations + +Julep provides several built-in integrations: + +1. **Web Search** + - Brave Search + - Wikipedia + +2. **Document Processing** + - Llama Parse + - BrowserBase + +3. **Media Processing** + - Cloudinary + - FFmpeg + +4. **Research** + - Arxiv + - Academic databases + +5. **Communication** + - Email + - Discord + +## Tool Management + +### Adding Tools + +```python Python +# Add a single tool +tool = client.agents.tools.create( + agent_id=agent.id, + name="tool_name", + description="Tool description", + integration={ + "provider": "provider_name", + "method": "method_name" + } +) + +# Add multiple tools +tools = client.agents.tools.create_many( + agent_id=agent.id, + tools=[ + { + "name": "tool1", + "description": "First tool", + "integration": {...} + }, + { + "name": "tool2", + "description": "Second tool", + "function": {...} + } + ] +) +``` + +### Listing Tools + +```python Python +# List all tools for an agent +tools = client.agents.tools.list(agent_id=agent.id) + +# Get a specific tool +tool = client.agents.tools.get( + agent_id=agent.id, + tool_id="tool_id" +) +``` + +### Updating Tools + +```python Python +# Update a tool +tool = client.agents.tools.update( + agent_id=agent.id, + tool_id="tool_id", + description="Updated description" +) +``` + +### Removing Tools + +```python Python +# Remove a tool +client.agents.tools.delete( + agent_id=agent.id, + tool_id="tool_id" +) +``` + +## Best Practices + +1. **Tool Design** + - Keep tool functions focused and single-purpose + - Provide clear descriptions of tool functionality + - Use appropriate parameter types and validation + +2. **Security** + - Store API keys in metadata or environment variables + - Implement proper error handling + - Validate tool inputs and outputs + +3. **Performance** + - Use appropriate timeouts for API calls + - Cache results when possible + - Handle rate limits properly + +## Example: Complex Tool Setup + +Here's an example setting up multiple tools for a research assistant agent: + +```python Python +# Create the agent +agent = client.agents.create( + name="Research Assistant", + model="claude-3.5-sonnet", + about="An AI assistant for academic research", + metadata={ + "arxiv_max_results": 10, + "brave_api_key": "your_brave_api_key" + } +) + +# Add research tools +tools = client.agents.tools.create_many( + agent_id=agent.id, + tools=[ + { + "name": "search_papers", + "description": "Search academic papers on arXiv", + "integration": { + "provider": "arxiv", + "method": "search" + } + }, + { + "name": "web_search", + "description": "Search the web for additional information", + "integration": { + "provider": "brave", + "method": "search", + "setup": { + "api_key": "{{agent.metadata.brave_api_key}}" + } + } + }, + { + "name": "parse_pdf", + "description": "Parse PDF documents", + "integration": { + "provider": "llama_parse", + "method": "parse" + } + } + ] +) +``` + +## Next Steps + +1. [Understand task basics](/building-blocks/tasks/task-basics) +2. [Learn about workflow steps](/building-blocks/tasks/workflow-steps) +3. [Explore available integrations](/tools/available-integrations) \ No newline at end of file diff --git a/documentation/building-blocks/agents/creating-agents.mdx b/documentation/building-blocks/agents/creating-agents.mdx new file mode 100644 index 000000000..311bf16f1 --- /dev/null +++ b/documentation/building-blocks/agents/creating-agents.mdx @@ -0,0 +1,127 @@ +--- +title: 'Creating Agents' +description: 'Guide to creating and configuring AI agents in Julep' +--- + +## Overview + +Agents in Julep are AI-powered entities that can execute tasks and interact with users. This guide will walk you through the process of creating and configuring agents. + +## Creating an Agent + +You can create an agent using either the Python or Node.js SDK: + +```python Python +from julep import Julep + +client = Julep(api_key="your_api_key") + +agent = client.agents.create( + name="My Agent", + model="claude-3.5-sonnet", + about="A helpful AI assistant that specializes in data analysis" +) +``` + +```javascript JavaScript +import { Julep } from '@julep/sdk'; + +const client = new Julep({ apiKey: 'your_api_key' }); + +const agent = await client.agents.create({ + name: "My Agent", + model: "claude-3.5-sonnet", + about: "A helpful AI assistant that specializes in data analysis" +}); +``` + +## Agent Configuration Options + +When creating an agent, you can specify several configuration options: + +| Option | Type | Description | +|--------|------|-------------| +| `name` | string | The name of your agent | +| `model` | string | The language model to use (e.g., "claude-3.5-sonnet", "gpt-4") | +| `about` | string | A description of your agent's purpose and capabilities | +| `metadata` | object | Additional metadata for your agent | +| `tools` | array | List of tools the agent can use | + +## Supported Models + +Julep supports various language models: + +- Anthropic Models + - claude-3.5-sonnet + - claude-3.5-opus + - claude-2.1 + - claude-2.0 + +- OpenAI Models + - gpt-4 + - gpt-4-turbo + - gpt-3.5-turbo + +## Best Practices + +1. **Clear Purpose**: Give your agent a clear, specific purpose through the `about` field +2. **Appropriate Model**: Choose a model that matches your needs in terms of capability and cost +3. **Descriptive Name**: Use a name that reflects the agent's purpose +4. **Metadata**: Use metadata to store configuration that might need to change + +## Example: Creating a Specialized Agent + +Here's an example of creating a more specialized agent with metadata and tools: + +```python Python +agent = client.agents.create( + name="Research Assistant", + model="claude-3.5-sonnet", + about="An AI assistant specialized in academic research and paper analysis", + metadata={ + "expertise": ["academic research", "paper analysis"], + "language": "en", + "max_papers_per_session": 5 + } +) + +# Add tools to the agent +client.agents.tools.create( + agent_id=agent.id, + name="arxiv_search", + description="Search for academic papers on arXiv", + integration={ + "provider": "arxiv", + "method": "search" + } +) +``` + +## Managing Agents + +Once created, you can manage your agents: + +```python Python +# List all agents +agents = client.agents.list() + +# Get a specific agent +agent = client.agents.get(agent_id="agent_id") + +# Update an agent +agent = client.agents.update( + agent_id="agent_id", + metadata={"new_config": "value"} +) + +# Delete an agent +client.agents.delete(agent_id="agent_id") +``` + +## Next Steps + +After creating your agent, you might want to: + +1. [Add tools to your agent](/building-blocks/agents/agent-tools) +2. [Configure agent memory](/building-blocks/agents/agent-memory) +3. [Create tasks for your agent](/building-blocks/tasks/task-basics) \ No newline at end of file diff --git a/documentation/building-blocks/doc-store/document-integration.mdx b/documentation/building-blocks/doc-store/document-integration.mdx new file mode 100644 index 000000000..bd8770b28 --- /dev/null +++ b/documentation/building-blocks/doc-store/document-integration.mdx @@ -0,0 +1,438 @@ +--- +title: 'Document Integration' +description: 'Using documents within tasks and agent workflows in Julep' +--- + +## Overview + +Document integration in Julep allows you to seamlessly incorporate document store capabilities into your tasks and agent workflows. This guide covers how to effectively use documents in your applications. + +## Using Documents in Tasks + +### Document Access + +Access documents within task workflows: + +```yaml +tools: + - name: search_docs + system: + resource: agent + subresource: doc + operation: search + +main: + # Search for relevant documents + - tool: search_docs + arguments: + text: "{{inputs.query}}" + metadata_filter: + type: "documentation" + + # Use search results in prompt + - prompt: + - role: system + content: "Use these documents to answer: {{_.documents}}" + - role: user + content: "{{inputs.query}}" +``` + +### Document Creation + +Create documents from task results: + +```yaml +tools: + - name: create_doc + system: + resource: agent + subresource: doc + operation: create + +main: + # Generate content + - prompt: + - role: user + content: "Generate documentation for {{inputs.topic}}" + + # Save as document + - tool: create_doc + arguments: + title: "Documentation: {{inputs.topic}}" + content: _ + metadata: + type: "documentation" + topic: "{{inputs.topic}}" + generated_at: "datetime.now().isoformat()" +``` + +## Document Processing Workflows + +### Content Generation + +Generate and store documentation: + +```python Python +# Create a documentation generator task +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + name: Documentation Generator + description: Generate and store documentation + + tools: + - name: create_doc + system: + resource: agent + subresource: doc + operation: create + + - name: search_docs + system: + resource: agent + subresource: doc + operation: search + + main: + # Check existing documentation + - tool: search_docs + arguments: + text: "{{inputs.topic}}" + metadata_filter: + type: "documentation" + + # Generate if not exists + - if: "len(_.documents) == 0" + then: + - prompt: + - role: system + content: "Generate comprehensive documentation for {{inputs.topic}}" + + - tool: create_doc + arguments: + title: "{{inputs.topic}} Documentation" + content: _ + metadata: + type: "documentation" + topic: "{{inputs.topic}}" + status: "draft" + else: + - return: + message: "Documentation already exists" + documents: _.documents + """ +) +``` + +### Document Updates + +Update documents based on new information: + +```python Python +# Create a document updater task +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + name: Document Updater + description: Update existing documentation + + tools: + - name: search_docs + system: + resource: agent + subresource: doc + operation: search + + - name: update_doc + system: + resource: agent + subresource: doc + operation: update + + main: + # Find document to update + - tool: search_docs + arguments: + text: "{{inputs.topic}}" + metadata_filter: + type: "documentation" + status: "published" + + # Update content + - if: "len(_.documents) > 0" + then: + - prompt: + - role: system + content: > + Update this documentation with new information: + {{_.documents[0].content}} + - role: user + content: "{{inputs.updates}}" + + - tool: update_doc + arguments: + document_id: "{{_.documents[0].id}}" + content: _ + metadata: + last_updated: "datetime.now().isoformat()" + update_type: "{{inputs.update_type}}" + else: + - error: "Document not found" + """ +) +``` + +## Integration Patterns + +### Document-Based Responses + +Use documents to enhance responses: + +```yaml +main: + # Search relevant documents + - tool: search_docs + arguments: + text: "{{inputs.query}}" + metadata_filter: + status: "published" + + # Generate response + - prompt: + - role: system + content: > + You are a helpful assistant with access to the following documents: + {{_.documents}} + + Use this information to provide accurate answers. + - role: user + content: "{{inputs.query}}" + + # Save response + - tool: create_doc + arguments: + title: "Response: {{inputs.query}}" + content: _ + metadata: + type: "response" + query: "{{inputs.query}}" + sources: "{{[doc.id for doc in _.documents]}}" +``` + +### Document Chains + +Chain document operations: + +```yaml +main: + # Initial search + - tool: search_docs + arguments: + text: "{{inputs.topic}}" + + # Process each document + - foreach: + in: _.documents + do: + # Analyze document + - prompt: + - role: system + content: "Analyze this document: {{_}}" + + # Create analysis document + - tool: create_doc + arguments: + title: "Analysis: {{_.title}}" + content: _ + metadata: + type: "analysis" + source_doc: "{{_.id}}" + + # Summarize analyses + - tool: search_docs + arguments: + metadata_filter: + type: "analysis" + source_doc: {"$in": "{{[doc.id for doc in _.documents]}}"} + + # Create summary document + - prompt: + - role: system + content: "Summarize these analyses: {{_.documents}}" + + - tool: create_doc + arguments: + title: "Summary: {{inputs.topic}}" + content: _ + metadata: + type: "summary" + topic: "{{inputs.topic}}" +``` + +## Best Practices + +1. **Document Integration** + - Use appropriate document types + - Maintain document relationships + - Track document sources + +2. **Workflow Design** + - Chain operations efficiently + - Handle missing documents + - Validate document content + +3. **Performance** + - Cache frequently used documents + - Use batch operations + - Implement proper error handling + +## Example: Complex Document Integration + +Here's an example of a comprehensive document integration: + +```python Python +class DocumentWorkflow: + def __init__(self, client, agent_id): + self.client = client + self.agent_id = agent_id + + async def process_topic(self, topic): + # Create processing task + task = await self.client.tasks.create( + agent_id=self.agent_id, + yaml=""" + name: Document Processor + description: Process and analyze topic documents + + tools: + - name: search_docs + system: + resource: agent + subresource: doc + operation: search + + - name: create_doc + system: + resource: agent + subresource: doc + operation: create + + - name: update_doc + system: + resource: agent + subresource: doc + operation: update + + main: + # Initial research + - parallel: + - tool: search_docs + arguments: + text: "{{inputs.topic}}" + metadata_filter: + type: "primary" + + - tool: search_docs + arguments: + text: "{{inputs.topic}} analysis" + metadata_filter: + type: "analysis" + + # Process results + - evaluate: + primary_docs: _[0] + analysis_docs: _[1] + + # Generate new content if needed + - if: "len(_.primary_docs) == 0" + then: + - prompt: + - role: system + content: "Generate primary content for {{inputs.topic}}" + + - tool: create_doc + arguments: + title: "{{inputs.topic}}" + content: _ + metadata: + type: "primary" + topic: "{{inputs.topic}}" + status: "draft" + + - evaluate: + primary_docs: [_] + + # Analyze documents + - foreach: + in: _.primary_docs + do: + - prompt: + - role: system + content: "Analyze this document: {{_}}" + + - tool: create_doc + arguments: + title: "Analysis: {{_.title}}" + content: _ + metadata: + type: "analysis" + source_doc: "{{_.id}}" + topic: "{{inputs.topic}}" + + # Generate summary + - tool: search_docs + arguments: + metadata_filter: + type: "analysis" + topic: "{{inputs.topic}}" + + - prompt: + - role: system + content: "Create a summary from these analyses: {{_.documents}}" + + - tool: create_doc + arguments: + title: "Summary: {{inputs.topic}}" + content: _ + metadata: + type: "summary" + topic: "{{inputs.topic}}" + source_analyses: "{{[doc.id for doc in _.documents]}}" + + # Return results + - return: + primary_docs: "{{_.primary_docs}}" + analyses: "{{_.documents}}" + summary: _ + """ + ) + + # Execute task + execution = await self.client.executions.create( + task_id=task.id, + input={"topic": topic} + ) + + # Monitor execution + while True: + result = await self.client.executions.get(execution.id) + if result.status == "succeeded": + return result.output + elif result.status == "failed": + raise Exception(f"Task failed: {result.error}") + await asyncio.sleep(1) + +# Use the workflow +workflow = DocumentWorkflow(client, agent.id) +result = await workflow.process_topic("AI Security") + +print("Primary Documents:", result["primary_docs"]) +print("Analyses:", result["analyses"]) +print("Summary:", result["summary"]) +``` + +## Next Steps + +1. [Learn about document management](/building-blocks/doc-store/document-management) +2. [Explore vector search](/building-blocks/doc-store/vector-search) +3. [Understand task basics](/building-blocks/tasks/task-basics) \ No newline at end of file diff --git a/documentation/building-blocks/doc-store/document-management.mdx b/documentation/building-blocks/doc-store/document-management.mdx new file mode 100644 index 000000000..66317d89e --- /dev/null +++ b/documentation/building-blocks/doc-store/document-management.mdx @@ -0,0 +1,338 @@ +--- +title: 'Document Management' +description: 'Adding, updating, and managing documents in Julep' +--- + +## Overview + +The Julep Document Store allows you to store, manage, and retrieve documents that can be used by agents and tasks. This guide covers how to effectively manage documents in your Julep applications. + +## Creating Documents + +Add documents to the store using the SDK: + +```python Python +# Create a simple document +document = client.agents.docs.create( + agent_id=agent.id, + title="Product Manual", + content="Detailed product instructions...", + metadata={ + "type": "manual", + "version": "1.0" + } +) + +# Create document with chunks +document = client.agents.docs.create( + agent_id=agent.id, + title="Research Paper", + content="Research paper content...", + chunks=True, # Automatically split into chunks + metadata={ + "type": "research", + "author": "John Doe", + "date": "2024-03-24" + } +) +``` + +```javascript JavaScript +// Create a simple document +const document = await client.agents.docs.create({ + agentId: agent.id, + title: "Product Manual", + content: "Detailed product instructions...", + metadata: { + type: "manual", + version: "1.0" + } +}); + +// Create document with chunks +const document = await client.agents.docs.create({ + agentId: agent.id, + title: "Research Paper", + content: "Research paper content...", + chunks: true, // Automatically split into chunks + metadata: { + type: "research", + author: "John Doe", + date: "2024-03-24" + } +}); +``` + +## Document Types + +Julep supports various document types: + +1. **Text Documents** + - Plain text + - Markdown + - HTML + +2. **Structured Documents** + - JSON + - YAML + - XML + +3. **Binary Documents** + - PDF (with automatic text extraction) + - Word documents + - Images (with OCR capabilities) + +## Document Management + +### Listing Documents + +```python Python +# List all documents +documents = client.agents.docs.list(agent_id=agent.id) + +# List with filters +documents = client.agents.docs.list( + agent_id=agent.id, + metadata_filter={ + "type": "manual", + "version": "1.0" + } +) +``` + +### Updating Documents + +```python Python +# Update document content +document = client.agents.docs.update( + agent_id=agent.id, + document_id=document.id, + content="Updated content..." +) + +# Update metadata +document = client.agents.docs.update( + agent_id=agent.id, + document_id=document.id, + metadata={ + "version": "1.1", + "last_updated": "2024-03-24" + } +) +``` + +### Deleting Documents + +```python Python +# Delete a single document +client.agents.docs.delete( + agent_id=agent.id, + document_id=document.id +) + +# Delete multiple documents +client.agents.docs.delete_many( + agent_id=agent.id, + document_ids=[doc1.id, doc2.id] +) +``` + +## Document Processing + +### Chunking + +Control how documents are split into chunks: + +```python Python +# Custom chunking configuration +document = client.agents.docs.create( + agent_id=agent.id, + title="Long Document", + content="Very long content...", + chunks=True, + chunk_config={ + "size": 1000, # Characters per chunk + "overlap": 100, # Overlap between chunks + "split_method": "sentence" # Split at sentence boundaries + } +) +``` + +### Metadata Management + +Add and update document metadata: + +```python Python +# Add rich metadata +document = client.agents.docs.create( + agent_id=agent.id, + title="Technical Specification", + content="Technical details...", + metadata={ + "type": "specification", + "project": "Project X", + "version": "2.0", + "tags": ["technical", "specification"], + "authors": ["John Doe", "Jane Smith"], + "created_at": "2024-03-24T12:00:00Z", + "status": "draft" + } +) + +# Update specific metadata fields +document = client.agents.docs.update_metadata( + agent_id=agent.id, + document_id=document.id, + metadata={ + "status": "published", + "published_at": "2024-03-24T15:00:00Z" + } +) +``` + +## Document Access Control + +### Scoping Documents + +Control document access: + +```python Python +# Create agent-specific document +document = client.agents.docs.create( + agent_id=agent.id, + title="Agent Guidelines", + content="Guidelines content...", + scope="agent" +) + +# Create user-specific document +document = client.users.docs.create( + user_id=user.id, + title="User Preferences", + content="User preferences...", + scope="user" +) +``` + +### Access Patterns + +Configure document access patterns: + +```python Python +# Create document with access patterns +document = client.agents.docs.create( + agent_id=agent.id, + title="Shared Document", + content="Shared content...", + access_patterns={ + "read": ["agent:*", "user:*"], + "write": ["agent:owner"], + "delete": ["agent:owner"] + } +) +``` + +## Best Practices + +1. **Document Organization** + - Use clear, descriptive titles + - Add comprehensive metadata + - Organize documents by type and purpose + +2. **Content Management** + - Keep documents focused and single-purpose + - Update content atomically + - Maintain version history in metadata + +3. **Performance** + - Use appropriate chunk sizes + - Index important metadata fields + - Clean up unused documents + +## Example: Complex Document Management + +Here's an example of advanced document management: + +```python Python +# Create a document processor +def process_document(title, content, doc_type, metadata=None): + base_metadata = { + "type": doc_type, + "created_at": datetime.now().isoformat(), + "status": "processing" + } + + if metadata: + base_metadata.update(metadata) + + # Create initial document + document = client.agents.docs.create( + agent_id=agent.id, + title=title, + content=content, + chunks=True, + chunk_config={ + "size": 1000, + "overlap": 100, + "split_method": "sentence" + }, + metadata=base_metadata + ) + + try: + # Process document content + processed_content = process_content(content) + + # Extract additional metadata + extracted_metadata = extract_metadata(processed_content) + + # Update document with processed content and metadata + document = client.agents.docs.update( + agent_id=agent.id, + document_id=document.id, + content=processed_content, + metadata={ + **base_metadata, + **extracted_metadata, + "status": "processed", + "processed_at": datetime.now().isoformat() + } + ) + + return document + + except Exception as e: + # Update document status on error + client.agents.docs.update_metadata( + agent_id=agent.id, + document_id=document.id, + metadata={ + "status": "error", + "error": str(e) + } + ) + raise + +# Use the document processor +try: + document = process_document( + title="Technical Report", + content="Technical report content...", + doc_type="report", + metadata={ + "project": "Project Y", + "author": "John Doe" + } + ) + + print(f"Document processed: {document.id}") + +except Exception as e: + print(f"Error processing document: {e}") +``` + +## Next Steps + +1. [Learn about vector search](/building-blocks/doc-store/vector-search) +2. [Explore document integration](/building-blocks/doc-store/document-integration) +3. [Understand agent memory](/building-blocks/agents/agent-memory) \ No newline at end of file diff --git a/documentation/building-blocks/doc-store/vector-search.mdx b/documentation/building-blocks/doc-store/vector-search.mdx new file mode 100644 index 000000000..3454aac19 --- /dev/null +++ b/documentation/building-blocks/doc-store/vector-search.mdx @@ -0,0 +1,390 @@ +--- +title: 'Vector Search' +description: 'How to perform semantic search across documents in Julep' +--- + +## Overview + +Vector search in Julep enables semantic search capabilities across your document store. This allows you to find relevant documents based on meaning rather than just keyword matches. This guide covers how to effectively use vector search in your applications. + +## Basic Search + +Perform simple semantic searches: + +```python Python +# Basic semantic search +results = client.agents.docs.search( + agent_id=agent.id, + text="How to configure SSL certificates" +) + +# Search with limit +results = client.agents.docs.search( + agent_id=agent.id, + text="deployment best practices", + limit=5 +) +``` + +```javascript JavaScript +// Basic semantic search +const results = await client.agents.docs.search({ + agentId: agent.id, + text: "How to configure SSL certificates" +}); + +// Search with limit +const results = await client.agents.docs.search({ + agentId: agent.id, + text: "deployment best practices", + limit: 5 +}); +``` + +## Advanced Search Options + +### Metadata Filtering + +Combine semantic search with metadata filters: + +```python Python +# Search with metadata filters +results = client.agents.docs.search( + agent_id=agent.id, + text="error handling", + metadata_filter={ + "type": "documentation", + "version": "2.0", + "status": "published" + } +) + +# Complex metadata filters +results = client.agents.docs.search( + agent_id=agent.id, + text="security configuration", + metadata_filter={ + "type": {"$in": ["guide", "tutorial"]}, + "tags": {"$contains": "security"}, + "published_at": {"$gt": "2024-01-01"} + } +) +``` + +### Search Configuration + +Customize search behavior: + +```python Python +# Configure search parameters +results = client.agents.docs.search( + agent_id=agent.id, + text="API authentication", + config={ + "similarity_threshold": 0.8, # Minimum similarity score + "rerank": True, # Enable reranking + "model": "multilingual", # Use multilingual model + "chunk_level": True # Search at chunk level + } +) +``` + +## Hybrid Search + +Combine semantic and keyword search: + +```python Python +# Hybrid search +results = client.agents.docs.hybrid_search( + agent_id=agent.id, + text="python error handling", + keywords=["try", "except", "finally"], + weights={ + "semantic": 0.7, + "keyword": 0.3 + } +) +``` + +## Search Contexts + +### Scoped Search + +Search within specific contexts: + +```python Python +# Search agent documents +agent_results = client.agents.docs.search( + agent_id=agent.id, + text="configuration options" +) + +# Search user documents +user_results = client.users.docs.search( + user_id=user.id, + text="preferences" +) + +# Search shared documents +shared_results = client.docs.search( + text="common guidelines", + scope="shared" +) +``` + +### Cross-Context Search + +Search across multiple contexts: + +```python Python +# Search across contexts +results = client.docs.search( + text="security protocols", + contexts=[ + {"type": "agent", "id": agent.id}, + {"type": "user", "id": user.id}, + {"type": "shared"} + ] +) +``` + +## Search Processing + +### Result Processing + +Process and format search results: + +```python Python +# Get search results with content +results = client.agents.docs.search( + agent_id=agent.id, + text="deployment steps", + include_content=True +) + +# Process results +for result in results: + print(f"Document: {result.title}") + print(f"Similarity: {result.similarity}") + print(f"Content: {result.content}") + print(f"Metadata: {result.metadata}") +``` + +### Result Aggregation + +Aggregate results from multiple searches: + +```python Python +# Perform multiple searches +def multi_search(query, contexts): + all_results = [] + + for context in contexts: + results = client.docs.search( + text=query, + context=context, + include_content=True + ) + all_results.extend(results) + + # Sort by similarity + all_results.sort(key=lambda x: x.similarity, reverse=True) + + return all_results[:10] # Return top 10 results +``` + +## Vector Operations + +### Document Embedding + +Work with document embeddings: + +```python Python +# Get document embedding +embedding = client.agents.docs.get_embedding( + agent_id=agent.id, + document_id=document.id +) + +# Create document with custom embedding +document = client.agents.docs.create( + agent_id=agent.id, + title="Custom Embedded Document", + content="Document content...", + embedding=custom_embedding +) +``` + +### Embedding Management + +Manage document embeddings: + +```python Python +# Update document embedding +client.agents.docs.update_embedding( + agent_id=agent.id, + document_id=document.id, + embedding=new_embedding +) + +# Recompute embeddings +client.agents.docs.recompute_embeddings( + agent_id=agent.id, + filter={ + "type": "documentation", + "updated_at": {"$gt": "2024-01-01"} + } +) +``` + +## Best Practices + +1. **Search Optimization** + - Use appropriate similarity thresholds + - Balance semantic and keyword search + - Optimize metadata filters + +2. **Performance** + - Cache frequent search results + - Use chunk-level search for large documents + - Implement pagination for large result sets + +3. **Result Quality** + - Validate search results + - Implement feedback mechanisms + - Monitor search performance + +## Example: Advanced Search Implementation + +Here's an example of a comprehensive search implementation: + +```python Python +class DocumentSearcher: + def __init__(self, client, agent_id): + self.client = client + self.agent_id = agent_id + + def search(self, query, **options): + # Default search configuration + config = { + "similarity_threshold": 0.7, + "rerank": True, + "chunk_level": True, + "limit": 10 + } + + # Update with user options + config.update(options.get("config", {})) + + # Perform semantic search + semantic_results = self.client.agents.docs.search( + agent_id=self.agent_id, + text=query, + config=config, + metadata_filter=options.get("metadata_filter"), + include_content=True + ) + + # Perform keyword search if specified + if options.get("keywords"): + keyword_results = self.client.agents.docs.keyword_search( + agent_id=self.agent_id, + keywords=options["keywords"], + metadata_filter=options.get("metadata_filter") + ) + + # Combine results + results = self._combine_results( + semantic_results, + keyword_results, + weights=options.get("weights", {"semantic": 0.7, "keyword": 0.3}) + ) + else: + results = semantic_results + + # Process results + processed_results = self._process_results(results) + + return processed_results + + def _combine_results(self, semantic_results, keyword_results, weights): + # Combine and score results + combined = {} + + for result in semantic_results: + combined[result.id] = { + "score": result.similarity * weights["semantic"], + "data": result + } + + for result in keyword_results: + if result.id in combined: + combined[result.id]["score"] += result.score * weights["keyword"] + else: + combined[result.id] = { + "score": result.score * weights["keyword"], + "data": result + } + + # Sort by combined score + sorted_results = sorted( + combined.values(), + key=lambda x: x["score"], + reverse=True + ) + + return [item["data"] for item in sorted_results] + + def _process_results(self, results): + # Process and format results + processed = [] + + for result in results: + processed.append({ + "id": result.id, + "title": result.title, + "content": result.content, + "similarity": result.similarity, + "metadata": result.metadata, + "highlights": self._get_highlights(result) + }) + + return processed + + def _get_highlights(self, result): + # Extract relevant highlights from content + # Implementation depends on your highlighting needs + pass + +# Use the searcher +searcher = DocumentSearcher(client, agent.id) + +results = searcher.search( + "security best practices", + config={ + "similarity_threshold": 0.8, + "limit": 5 + }, + metadata_filter={ + "type": "documentation", + "status": "published" + }, + keywords=["security", "authentication", "encryption"], + weights={ + "semantic": 0.6, + "keyword": 0.4 + } +) + +for result in results: + print(f"Title: {result['title']}") + print(f"Similarity: {result['similarity']}") + print(f"Highlights: {result['highlights']}") + print("---") +``` + +## Next Steps + +1. [Explore document integration](/building-blocks/doc-store/document-integration) +2. [Learn about document management](/building-blocks/doc-store/document-management) +3. [Understand agent memory](/building-blocks/agents/agent-memory) \ No newline at end of file diff --git a/documentation/building-blocks/sessions/context-and-state.mdx b/documentation/building-blocks/sessions/context-and-state.mdx new file mode 100644 index 000000000..e94a48d8f --- /dev/null +++ b/documentation/building-blocks/sessions/context-and-state.mdx @@ -0,0 +1,404 @@ +--- +title: 'Context & State' +description: 'Managing conversation context and state in Julep sessions' +--- + +## Overview + +Context and state management in Julep sessions allows agents to maintain coherent conversations and remember important information across interactions. This guide covers how to effectively manage context and state in your sessions. + +## Understanding Context + +### Context Types + +Julep manages several types of context: + +1. **Conversation Context** + - Recent message history + - System prompts and instructions + - User preferences and settings + +2. **Session State** + - Session metadata + - User information + - Conversation flow state + +3. **Agent Context** + - Agent configuration + - Available tools + - Long-term memory + +## Context Management Strategies + +### Fixed Context Window + +Maintain a fixed number of messages: + +```python Python +# Create session with fixed context +session = client.sessions.create( + agent_id=agent.id, + context_overflow="fixed", + max_messages=20, + metadata={ + "context_strategy": "fixed", + "context_size": 20 + } +) +``` + +### Adaptive Context + +Dynamically adjust context based on token usage: + +```python Python +# Create session with adaptive context +session = client.sessions.create( + agent_id=agent.id, + context_overflow="adaptive", + max_tokens=4000, + metadata={ + "context_strategy": "adaptive", + "max_tokens": 4000, + "min_messages": 5 + } +) +``` + +### Summary-based Context + +Periodically summarize older messages: + +```python Python +# Create session with summary-based context +session = client.sessions.create( + agent_id=agent.id, + context_overflow="summary", + summary_interval=10, + metadata={ + "context_strategy": "summary", + "summary_interval": 10, + "summary_method": "recursive" + } +) +``` + +## State Management + +### Session State + +Manage session-specific state: + +```python Python +# Initialize session state +session = client.sessions.create( + agent_id=agent.id, + metadata={ + "state": { + "current_step": "initial", + "user_preferences": {}, + "conversation_flow": "greeting" + } + } +) + +# Update session state +session = client.sessions.update( + session_id=session.id, + metadata={ + "state": { + "current_step": "information_gathering", + "user_preferences": { + "language": "en", + "style": "formal" + }, + "conversation_flow": "questions" + } + } +) +``` + +### State Transitions + +Handle state transitions in tasks: + +```yaml +main: + # Check current state + - evaluate: + current_state: session.metadata.state.current_step + + # State transition logic + - switch: + - case: _.current_state == "initial" + then: + - prompt: "Welcome! How can I help?" + - tool: update_session + arguments: + metadata: + state: + current_step: "greeting" + + - case: _.current_state == "greeting" + then: + - prompt: "What specific information do you need?" + - tool: update_session + arguments: + metadata: + state: + current_step: "information_gathering" +``` + +## Context Access + +### In Tasks + +Access context in task workflows: + +```yaml +main: + # Access conversation context + - prompt: + - role: system + content: "Previous context: {{session.context}}" + + # Access session state + - evaluate: + current_step: session.metadata.state.current_step + user_prefs: session.metadata.state.user_preferences + + # Access agent context + - prompt: + - role: system + content: "Agent configuration: {{agent.metadata}}" +``` + +### In Tool Calls + +Use context in tool calls: + +```yaml +tools: + - name: personalized_search + integration: + provider: search + method: query + +main: + - tool: personalized_search + arguments: + query: inputs.query + language: session.metadata.state.user_preferences.language + style: session.metadata.state.user_preferences.style +``` + +## State Persistence + +### Long-term State + +Store important information for future sessions: + +```python Python +# Store user preferences in agent's document store +client.agents.docs.create( + agent_id=agent.id, + title=f"User Preferences - {user.id}", + content=json.dumps(user_preferences), + metadata={ + "type": "preferences", + "user_id": user.id + } +) + +# Retrieve stored preferences +preferences = client.agents.docs.search( + agent_id=agent.id, + metadata_filter={ + "type": "preferences", + "user_id": user.id + } +) +``` + +### State Recovery + +Recover state from previous sessions: + +```python Python +# Find previous sessions +previous_sessions = client.sessions.list( + user_id=user.id, + agent_id=agent.id, + status="completed" +) + +# Create new session with recovered state +if previous_sessions: + last_session = previous_sessions[0] + session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + metadata={ + "state": last_session.metadata.state, + "recovered_from": last_session.id + } + ) +``` + +## Best Practices + +1. **Context Management** + - Choose appropriate context strategy + - Monitor token usage + - Use summaries for long conversations + +2. **State Management** + - Keep state structure consistent + - Update state atomically + - Handle state transitions explicitly + +3. **Performance** + - Cache frequently accessed state + - Use appropriate context window sizes + - Clean up old state data + +## Example: Complex Context and State Management + +Here's an example combining various context and state management features: + +```python Python +# Create a session with comprehensive context and state management +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive", + max_tokens=8000, + metadata={ + "state": { + "conversation_flow": "initial", + "user_preferences": {}, + "interaction_history": [], + "current_task": None + }, + "context_management": { + "strategy": "adaptive", + "max_tokens": 8000, + "summary_threshold": 50 + } + } +) + +# Create a task that manages context and state +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + name: Context-Aware Assistant + description: Handle user interactions with context awareness + + tools: + - name: update_session + system: + resource: session + operation: update + + - name: search_history + integration: + provider: document_store + method: search + + main: + # Load context and state + - evaluate: + current_flow: session.metadata.state.conversation_flow + preferences: session.metadata.state.user_preferences + + # Search user history + - tool: search_history + arguments: + user_id: session.user_id + type: "interaction_history" + + # Update context with historical information + - evaluate: + context_update: + history: _.search_results + last_interaction: "datetime.now().isoformat()" + + # Generate contextual response + - prompt: + - role: system + content: > + Current flow: {{_.current_flow}} + User preferences: {{_.preferences}} + Historical context: {{_.context_update.history}} + - role: user + content: "{{inputs.message}}" + + # Update state based on response + - tool: update_session + arguments: + metadata: + state: + conversation_flow: "in_progress" + last_response: _ + interaction_history: "session.metadata.state.interaction_history + [{'timestamp': datetime.now().isoformat(), 'message': inputs.message, 'response': _}]" + + # Summarize if needed + - if: "len(session.metadata.state.interaction_history) > session.metadata.context_management.summary_threshold" + then: + - prompt: + - role: system + content: "Summarize this conversation history: {{session.metadata.state.interaction_history}}" + - tool: update_session + arguments: + metadata: + state: + interaction_history: [{"summary": _}] + """ +) + +# Execute the task +execution = client.executions.create( + task_id=task.id, + session_id=session.id, + input={ + "message": "Tell me about my previous interactions" + } +) + +# Monitor and handle state changes +while True: + result = client.executions.get(execution.id) + if result.status == "succeeded": + # Update long-term state + client.agents.docs.create( + agent_id=agent.id, + title=f"Interaction Summary - {session.id}", + content=json.dumps(result.output), + metadata={ + "type": "interaction_summary", + "session_id": session.id, + "user_id": session.user_id + } + ) + break + elif result.status == "failed": + # Handle failure and restore state + client.sessions.update( + session_id=session.id, + metadata={ + "state": { + "conversation_flow": "error_recovery", + "last_error": result.error + } + } + ) + break + time.sleep(1) +``` + +## Next Steps + +1. [Learn about session management](/building-blocks/sessions/session-management) +2. [Understand agent memory](/building-blocks/agents/agent-memory) +3. [Explore task basics](/building-blocks/tasks/task-basics) \ No newline at end of file diff --git a/documentation/building-blocks/sessions/session-management.mdx b/documentation/building-blocks/sessions/session-management.mdx new file mode 100644 index 000000000..a9c429437 --- /dev/null +++ b/documentation/building-blocks/sessions/session-management.mdx @@ -0,0 +1,366 @@ +--- +title: 'Session Management' +description: 'Creating and managing user sessions in Julep' +--- + +## Overview + +Sessions in Julep enable persistent interactions between users and agents. They maintain conversation history, context, and state across multiple exchanges. This guide covers how to create, manage, and utilize sessions effectively. + +## Creating Sessions + +Create sessions using the SDK: + +```python Python +# Create a basic session +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id +) + +# Create a session with configuration +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive", + max_messages=50, + metadata={ + "language": "en", + "timezone": "UTC" + } +) +``` + +```javascript JavaScript +// Create a basic session +const session = await client.sessions.create({ + agentId: agent.id, + userId: user.id +}); + +// Create a session with configuration +const session = await client.sessions.create({ + agentId: agent.id, + userId: user.id, + contextOverflow: "adaptive", + maxMessages: 50, + metadata: { + language: "en", + timezone: "UTC" + } +}); +``` + +## Session Configuration + +### Context Management + +Control how conversation context is managed: + +```python Python +# Fixed context window +session = client.sessions.create( + agent_id=agent.id, + context_overflow="fixed", + max_messages=20 +) + +# Adaptive context +session = client.sessions.create( + agent_id=agent.id, + context_overflow="adaptive", + max_tokens=4000 +) + +# Summary-based context +session = client.sessions.create( + agent_id=agent.id, + context_overflow="summary", + summary_interval=10 # Summarize every 10 messages +) +``` + +### Metadata Management + +Store session-specific information: + +```python Python +# Set metadata during creation +session = client.sessions.create( + agent_id=agent.id, + metadata={ + "user_preferences": { + "language": "en", + "style": "formal" + }, + "session_type": "support" + } +) + +# Update metadata +session = client.sessions.update( + session_id=session.id, + metadata={ + "last_interaction": "2024-03-24T12:00:00Z" + } +) +``` + +## Interacting with Sessions + +### Chat Messages + +Send and receive messages: + +```python Python +# Send a message +response = client.sessions.chat( + session_id=session.id, + messages=[ + { + "role": "user", + "content": "Hello, how can you help me today?" + } + ] +) + +# Send multiple messages +response = client.sessions.chat( + session_id=session.id, + messages=[ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "What can you do?" + } + ] +) +``` + +### Chat History + +Retrieve conversation history: + +```python Python +# Get all messages +history = client.sessions.history( + session_id=session.id +) + +# Get recent messages +history = client.sessions.history( + session_id=session.id, + limit=10 +) + +# Get messages with metadata +history = client.sessions.history( + session_id=session.id, + include_metadata=True +) +``` + +## Session Management + +### Listing Sessions + +```python Python +# List all sessions +sessions = client.sessions.list() + +# List sessions with filters +sessions = client.sessions.list( + agent_id=agent.id, + user_id=user.id, + status="active" +) +``` + +### Updating Sessions + +```python Python +# Update session configuration +session = client.sessions.update( + session_id=session.id, + context_overflow="adaptive", + max_messages=100 +) + +# Update metadata +session = client.sessions.update( + session_id=session.id, + metadata={ + "last_active": "2024-03-24T12:00:00Z", + "interaction_count": 42 + } +) +``` + +### Ending Sessions + +```python Python +# End a session +client.sessions.delete(session_id=session.id) + +# End all user sessions +client.sessions.delete_many(user_id=user.id) +``` + +## Session Context in Tasks + +Access session context in task workflows: + +```yaml +main: + # Access session metadata + - evaluate: + language: session.metadata.language + + # Use session context + - prompt: + - role: system + content: "Previous context: {{session.context}}" + + # Update session metadata + - tool: update_session + arguments: + metadata: + last_task: "data_analysis" +``` + +## Best Practices + +1. **Session Management** + - Use appropriate context overflow strategies + - Clean up inactive sessions + - Store relevant metadata + +2. **Context Handling** + - Choose appropriate context window sizes + - Use summaries for long conversations + - Clear context when switching topics + +3. **Performance** + - Monitor token usage + - Use appropriate timeouts + - Cache frequently accessed data + +## Example: Complex Session Usage + +Here's an example of advanced session management: + +```python Python +# Create a session with custom configuration +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive", + max_tokens=8000, + metadata={ + "preferences": { + "language": "en", + "style": "formal", + "expertise_level": "advanced" + }, + "session_type": "technical_support", + "started_at": datetime.now().isoformat() + } +) + +# Create a task that uses session context +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + name: Technical Support + description: Handle technical support requests + + tools: + - name: search_docs + integration: + provider: document_store + method: search + + - name: update_session + system: + resource: session + operation: update + + main: + # Check session context + - evaluate: + language: session.metadata.preferences.language + expertise: session.metadata.preferences.expertise_level + + # Customize response based on user preferences + - prompt: + - role: system + content: > + You are a technical support agent. + User language: {{_.language}} + Expertise level: {{_.expertise}} + Previous context: {{session.context}} + - role: user + content: "{{inputs.query}}" + + # Search documentation + - tool: search_docs + arguments: + query: inputs.query + language: _.language + + # Generate response + - prompt: + - role: system + content: "Generate a response using these docs: {{_.search_results}}" + - role: user + content: "{{inputs.query}}" + + # Update session metadata + - tool: update_session + arguments: + metadata: + last_query: inputs.query + last_response_time: "datetime.now().isoformat()" + interaction_count: "session.metadata.interaction_count + 1" + """ +) + +# Execute the task in the session +execution = client.executions.create( + task_id=task.id, + session_id=session.id, + input={ + "query": "How do I configure SSL certificates?" + } +) + +# Monitor the execution +while True: + result = client.executions.get(execution.id) + if result.status in ["succeeded", "failed"]: + break + time.sleep(1) + +# Get updated session history +history = client.sessions.history( + session_id=session.id, + include_metadata=True +) + +# Clean up if needed +if history.total_messages > 100: + # Summarize and archive old messages + client.sessions.update( + session_id=session.id, + context_overflow="summary" + ) +``` + +## Next Steps + +1. [Learn about context and state](/building-blocks/sessions/context-and-state) +2. [Explore task basics](/building-blocks/tasks/task-basics) +3. [Understand agent memory](/building-blocks/agents/agent-memory) \ No newline at end of file diff --git a/documentation/building-blocks/tasks/control-flow.mdx b/documentation/building-blocks/tasks/control-flow.mdx new file mode 100644 index 000000000..bf20de765 --- /dev/null +++ b/documentation/building-blocks/tasks/control-flow.mdx @@ -0,0 +1,413 @@ +--- +title: 'Control Flow' +description: 'Managing task flow with conditions, loops, and parallel execution in Julep' +--- + +## Overview + +Control flow in Julep allows you to create sophisticated task workflows by managing the sequence of execution, handling conditions, implementing loops, and running steps in parallel. This guide covers all aspects of control flow management in Julep tasks. + +## Conditional Execution + +### If-Else Statements + +Control execution based on conditions: + +```yaml +# Basic if statement +- if: _.score > 0.8 + then: + - log: "High score achieved" + +# If-else statement +- if: _.temperature > 30 + then: + - log: "It's hot today" + else: + - log: "Temperature is normal" + +# Nested conditions +- if: _.user_type == "premium" + then: + - if: _.usage > 1000 + then: + - log: "High usage premium user" + else: + - log: "Normal usage premium user" + else: + - log: "Regular user" +``` + +### Switch Statements + +Handle multiple conditions: + +```yaml +# Basic switch +- switch: + - case: _.status == "pending" + then: + - log: "Task is pending" + - case: _.status == "running" + then: + - log: "Task is running" + - case: _ # Default case + then: + - log: "Unknown status" + +# Switch with complex logic +- switch: + - case: _.score > 90 + then: + - evaluate: + grade: "'A'" + - case: _.score > 80 + then: + - evaluate: + grade: "'B'" + - case: _.score > 70 + then: + - evaluate: + grade: "'C'" + - case: _ + then: + - evaluate: + grade: "'F'" +``` + +## Loops and Iteration + +### Foreach Loop + +Iterate over collections: + +```yaml +# Simple foreach +- foreach: + in: _.items + do: + - log: "Processing {{_}}" + +# Foreach with complex processing +- foreach: + in: _.documents + do: + - tool: analyze + arguments: + text: _.content + - if: _.analysis.score > 0.8 + then: + - tool: save_result + arguments: + data: _.analysis +``` + +### Map-Reduce + +Process collections in parallel: + +```yaml +# Basic map-reduce +- map_reduce: + over: _.urls + map: + - tool: fetch_content + arguments: + url: _ + reduce: results + [_] + +# Map-reduce with custom reduction +- map_reduce: + over: _.numbers + map: + - evaluate: + squared: "_ ** 2" + reduce: "max(results + [_])" + initial: 0 +``` + +## Parallel Execution + +### Parallel Steps + +Execute multiple steps concurrently: + +```yaml +# Basic parallel execution +- parallel: + - tool: task1 + arguments: + param: "value1" + - tool: task2 + arguments: + param: "value2" + +# Parallel with result handling +- parallel: + - tool: web_search + arguments: + query: "AI news" + - tool: arxiv_search + arguments: + query: "AI research" +- evaluate: + web_results: _[0] + academic_results: _[1] +``` + +### Parallel Map-Reduce + +Process collections with controlled parallelism: + +```yaml +# Parallel processing with limit +- map_reduce: + over: _.queries + map: + - tool: web_search + arguments: + query: _ + parallelism: 5 + +# Complex parallel processing +- map_reduce: + over: _.documents + map: + - parallel: + - tool: analyze_sentiment + arguments: + text: _.content + - tool: extract_keywords + arguments: + text: _.content + parallelism: 3 +``` + +## Flow Control + +### Sleep and Delays + +Introduce delays in workflow: + +```yaml +# Simple delay +- sleep: + seconds: 30 + +# Conditional delay +- if: _.retry_count > 0 + then: + - sleep: + seconds: "_.retry_count * 10" +``` + +### Early Returns + +Exit workflow early: + +```yaml +# Early return on condition +- if: _.error_count > 3 + then: + - return: + status: "error" + message: "Too many errors" + +# Return with processed data +- if: _.data_valid + then: + - return: + result: _.processed_data + metadata: + processing_time: _.duration +``` + +### Error Handling + +Handle errors in workflow: + +```yaml +# Try-catch pattern +- if: "try_function(_)" + then: + - log: "Operation successful" + else: + - log: "Operation failed" + - return: + error: _.error_message + +# Retry pattern +- evaluate: + retry_count: 0 +- while: _.retry_count < 3 + do: + - if: "try_operation(_)" + then: + - return: _.result + else: + - evaluate: + retry_count: "_.retry_count + 1" + - sleep: + seconds: "2 ** _.retry_count" +``` + +## Advanced Patterns + +### State Machines + +Implement state machine patterns: + +```yaml +main: + - evaluate: + state: "initial" + + - while: _.state != "completed" + do: + - switch: + - case: _.state == "initial" + then: + - tool: initialize + arguments: + data: _.input + - evaluate: + state: "processing" + + - case: _.state == "processing" + then: + - tool: process + arguments: + data: _.result + - if: _.processing_complete + then: + - evaluate: + state: "completed" + else: + - evaluate: + state: "processing" +``` + +### Pipeline Pattern + +Create data processing pipelines: + +```yaml +main: + # Data ingestion + - parallel: + - tool: load_source1 + arguments: + params: _.source1_params + - tool: load_source2 + arguments: + params: _.source2_params + + # Data processing + - map_reduce: + over: _ + map: + - tool: clean_data + arguments: + data: _ + - tool: transform_data + arguments: + data: _ + parallelism: 3 + + # Data aggregation + - tool: aggregate_results + arguments: + data: _ + + # Result validation + - if: _.validation_score > 0.9 + then: + - tool: save_results + arguments: + data: _.aggregated_data + else: + - return: + error: "Validation failed" +``` + +## Best Practices + +1. **Flow Design** + - Keep workflows linear when possible + - Use parallel execution judiciously + - Handle errors at appropriate levels + +2. **Performance** + - Balance parallelism with resource constraints + - Use appropriate timeouts + - Cache results when beneficial + +3. **Maintainability** + - Document complex flow logic + - Break down complex workflows + - Use consistent patterns + +## Example: Complex Control Flow + +Here's an example combining various control flow patterns: + +```yaml +main: + # Initialize + - evaluate: + start_time: "datetime.now().isoformat()" + retry_count: 0 + batch_size: 10 + + # Batch processing with retries + - foreach: + in: "range(0, len(_.items), _.batch_size)" + do: + # Process batch in parallel + - map_reduce: + over: "_.items[_:_ + _.batch_size]" + map: + - parallel: + - tool: process_item + arguments: + item: _ + - tool: validate_item + arguments: + item: _ + parallelism: 5 + + # Handle batch results + - foreach: + in: _ + do: + - if: "_.processing_result[0].success and _.processing_result[1].valid" + then: + - tool: save_result + arguments: + result: _.processing_result + else: + # Retry failed items + - while: _.retry_count < 3 + do: + - evaluate: + retry_count: "_.retry_count + 1" + - sleep: + seconds: "2 ** _.retry_count" + - tool: retry_processing + arguments: + item: _ + + # Finalize + - return: + results: _.processed_items + metadata: + start_time: _.start_time + end_time: "datetime.now().isoformat()" + retry_count: _.retry_count +``` + +## Next Steps + +1. [Explore workflow steps](/building-blocks/tasks/workflow-steps) +2. [Learn about task basics](/building-blocks/tasks/task-basics) +3. [Understand session management](/building-blocks/sessions/session-management) \ No newline at end of file diff --git a/documentation/building-blocks/tasks/task-basics.mdx b/documentation/building-blocks/tasks/task-basics.mdx new file mode 100644 index 000000000..3b050e54a --- /dev/null +++ b/documentation/building-blocks/tasks/task-basics.mdx @@ -0,0 +1,318 @@ +--- +title: 'Task Basics' +description: 'Understanding task structure and components in Julep' +--- + +## Overview + +Tasks in Julep are the building blocks for creating complex AI workflows. They define a sequence of steps that an agent can execute, including prompts, tool calls, and control flow logic. + +## Task Structure + +A basic task consists of: + +```yaml +name: Task Name +description: Task description +input_schema: # Optional: Define expected input format + type: object + properties: + param1: + type: string + description: First parameter + param2: + type: integer + description: Second parameter + +tools: # Optional: Define tools needed for the task + - name: tool1 + integration: + provider: provider_name + method: method_name + +main: # Required: Define the main workflow steps + - prompt: "First step" + - tool: tool1 + arguments: + param: "value" +``` + +## Creating Tasks + +You can create tasks using either the Python or Node.js SDK: + +```python Python +# Create a task using YAML +task = client.tasks.create( + agent_id=agent.id, + yaml=""" + name: Simple Task + description: A basic example task + + main: + - prompt: "Hello, how can I help?" + """ +) + +# Create a task using dictionary +task = client.tasks.create( + agent_id=agent.id, + name="Simple Task", + description="A basic example task", + main=[ + {"prompt": "Hello, how can I help?"} + ] +) +``` + +```javascript JavaScript +// Create a task using YAML +const task = await client.tasks.create( + agentId, + ` + name: Simple Task + description: A basic example task + + main: + - prompt: "Hello, how can I help?" + ` +); + +// Create a task using object +const task = await client.tasks.create( + agentId, + { + name: "Simple Task", + description: "A basic example task", + main: [ + {prompt: "Hello, how can I help?"} + ] + } +); +``` + +## Task Components + +### 1. Input Schema + +Define expected input parameters: + +```yaml +input_schema: + type: object + required: ["query"] + properties: + query: + type: string + description: Search query + limit: + type: integer + description: Maximum number of results + default: 10 +``` + +### 2. Tools + +Declare tools needed for the task: + +```yaml +tools: + - name: web_search + integration: + provider: brave + method: search + + - name: summarize + function: + parameters: + type: object + properties: + text: + type: string +``` + +### 3. Main Workflow + +Define the sequence of steps: + +```yaml +main: + # Simple prompt + - prompt: "What can I help you with?" + + # Prompt with system and user messages + - prompt: + - role: system + content: "You are a helpful assistant" + - role: user + content: "Hello!" + + # Tool usage + - tool: web_search + arguments: + query: "{{inputs.query}}" + + # Evaluate expressions + - evaluate: + result_count: "len(_.search_results)" + + # Conditional logic + - if: "_.result_count > 0" + then: + - prompt: "Found {{_.result_count}} results" + else: + - prompt: "No results found" +``` + +## Executing Tasks + +Execute tasks with input parameters: + +```python Python +# Execute a task +execution = client.executions.create( + task_id=task.id, + input={ + "query": "AI developments", + "limit": 5 + } +) + +# Monitor execution progress +while True: + result = client.executions.get(execution.id) + if result.status in ["succeeded", "failed"]: + break + time.sleep(1) + +# Get the final result +if result.status == "succeeded": + print(result.output) +else: + print(f"Error: {result.error}") +``` + +## Context Variables + +Tasks have access to various context variables: + +1. **Input Variables** + ```yaml + main: + - prompt: "Searching for: {{inputs.query}}" + ``` + +2. **Step Results** + ```yaml + main: + - evaluate: + value: 42 + - prompt: "The value is {{_.value}}" + ``` + +3. **Agent Context** + ```yaml + main: + - prompt: "Agent name: {{agent.name}}" + ``` + +4. **Session Context** + ```yaml + main: + - prompt: "Session ID: {{session.id}}" + ``` + +## Best Practices + +1. **Task Design** + - Keep tasks focused on a single purpose + - Use clear, descriptive names + - Document expected inputs and outputs + +2. **Error Handling** + - Validate inputs using input_schema + - Handle tool failures gracefully + - Provide meaningful error messages + +3. **Performance** + - Use parallel execution when possible + - Cache intermediate results + - Break large tasks into smaller subtasks + +## Example: Complex Task + +Here's an example of a more complex task: + +```yaml +name: Research Assistant +description: Research a topic and provide a summary + +input_schema: + type: object + required: ["topic"] + properties: + topic: + type: string + description: Research topic + depth: + type: string + enum: ["basic", "detailed", "comprehensive"] + default: "basic" + +tools: + - name: web_search + integration: + provider: brave + method: search + + - name: arxiv_search + integration: + provider: arxiv + method: search + +main: + # Initial research plan + - prompt: + - role: system + content: "You are a research assistant. Plan a research strategy for: {{inputs.topic}}" + + # Parallel research + - parallel: + - tool: web_search + arguments: + query: "{{inputs.topic}} latest developments" + + - tool: arxiv_search + arguments: + query: "{{inputs.topic}}" + max_results: 5 + + # Process results + - evaluate: + web_results: _[0] + academic_results: _[1] + + # Generate summary based on depth + - if: inputs.depth == "basic" + then: + - prompt: "Create a brief summary of {{inputs.topic}}" + else: + - if: inputs.depth == "detailed" + then: + - prompt: "Create a detailed analysis of {{inputs.topic}}" + else: + - prompt: "Create a comprehensive report on {{inputs.topic}}" + + # Return formatted results + - return: + summary: _ + sources: + web: _.web_results + academic: _.academic_results +``` + +## Next Steps + +1. [Learn about workflow steps](/building-blocks/tasks/workflow-steps) +2. [Understand control flow](/building-blocks/tasks/control-flow) +3. [Explore agent tools](/building-blocks/agents/agent-tools) \ No newline at end of file diff --git a/documentation/building-blocks/tasks/workflow-steps.mdx b/documentation/building-blocks/tasks/workflow-steps.mdx new file mode 100644 index 000000000..903db60bc --- /dev/null +++ b/documentation/building-blocks/tasks/workflow-steps.mdx @@ -0,0 +1,365 @@ +--- +title: 'Workflow Steps' +description: 'Detailed guide to all available workflow step types in Julep' +--- + +## Overview + +Workflow steps are the building blocks of tasks in Julep. Each step represents a specific action or operation that can be performed as part of a task's execution. This guide covers all available step types and their usage. + +## Common Steps + +### Prompt Step + +Send messages to the AI model: + +```yaml +# Simple prompt +- prompt: "What is your name?" + +# Multi-message prompt +- prompt: + - role: system + content: "You are a helpful assistant" + - role: user + content: "Hello!" + +# Prompt with settings +- prompt: + - role: user + content: "Generate a creative story" + settings: + model: "claude-3.5-sonnet" + temperature: 0.8 +``` + +### Tool Call Step + +Execute tools defined in the task: + +```yaml +# Simple tool call +- tool: web_search + arguments: + query: "Latest AI news" + +# Tool call with complex arguments +- tool: process_data + arguments: + input_data: _.previous_result + options: + format: "json" + validate: true +``` + +### Evaluate Step + +Perform calculations or data manipulation: + +```yaml +# Simple evaluation +- evaluate: + count: "len(_.results)" + +# Multiple evaluations +- evaluate: + total: "sum(_.numbers)" + average: "_.total / len(_.numbers)" + formatted: "f'Average: {_.average:.2f}'" +``` + +### Wait for Input Step + +Pause workflow for user input: + +```yaml +# Simple input request +- wait_for_input: + info: + message: "Please provide your name" + +# Input with validation +- wait_for_input: + info: + message: "Enter your age" + validation: + type: "number" + minimum: 0 + maximum: 150 +``` + +## Key-Value Steps + +### Get Step + +Retrieve values from storage: + +```yaml +# Get a single value +- get: user_preference + +# Get multiple values +- get: + - preference1 + - preference2 +``` + +### Set Step + +Store values for later use: + +```yaml +# Set a single value +- set: + user_name: "John" + +# Set multiple values +- set: + count: "len(_.results)" + has_data: "_.count > 0" +``` + +## Iteration Steps + +### Foreach Step + +Iterate over a collection: + +```yaml +# Simple foreach +- foreach: + in: _.items + do: + - log: "Processing {{_}}" + +# Foreach with complex processing +- foreach: + in: _.documents + do: + - tool: analyze + arguments: + text: _.content + - evaluate: + results: "_ + [_.analysis]" +``` + +### Map-Reduce Step + +Process collections in parallel: + +```yaml +# Simple map-reduce +- map_reduce: + over: _.urls + map: + - tool: fetch_content + arguments: + url: _ + reduce: results + [_] + +# Map-reduce with parallelism +- map_reduce: + over: _.queries + map: + - tool: web_search + arguments: + query: _ + parallelism: 5 +``` + +### Parallel Step + +Execute steps concurrently: + +```yaml +# Parallel execution +- parallel: + - tool: task1 + arguments: + param: "value1" + - tool: task2 + arguments: + param: "value2" +``` + +## Conditional Steps + +### If-Else Step + +Conditional execution: + +```yaml +# Simple if +- if: _.count > 0 + then: + - log: "Found results" + +# If-else +- if: _.score > 0.8 + then: + - log: "High score" + else: + - log: "Low score" + +# Nested conditions +- if: _.type == "A" + then: + - if: _.value > 10 + then: + - log: "High value A" + else: + - log: "Low value A" + else: + - log: "Not type A" +``` + +### Switch Step + +Multiple condition handling: + +```yaml +# Switch statement +- switch: + - case: _.category == "A" + then: + - log: "Category A" + - case: _.category == "B" + then: + - log: "Category B" + - case: _ # Default case + then: + - log: "Unknown category" +``` + +## Other Control Flow + +### Sleep Step + +Pause execution: + +```yaml +# Sleep for duration +- sleep: + seconds: 30 + +# Sleep with different units +- sleep: + minutes: 5 + # hours: 1 + # days: 1 +``` + +### Return Step + +Return values from workflow: + +```yaml +# Simple return +- return: _.result + +# Structured return +- return: + data: _.processed_data + metadata: + count: _.count + timestamp: "datetime.now().isoformat()" +``` + +### Yield Step + +Execute subworkflows: + +```yaml +# Yield to subworkflow +- yield: + workflow: process_data + arguments: + input_data: _.raw_data + +# Yield with result handling +- yield: + workflow: analyze + arguments: + text: _.content +- evaluate: + analysis_result: _ +``` + +## Best Practices + +1. **Step Organization** + - Group related steps logically + - Use comments to explain complex steps + - Keep step chains focused and manageable + +2. **Error Handling** + - Use if-else for error conditions + - Provide fallback options + - Log important state changes + +3. **Performance** + - Use parallel execution when possible + - Optimize data passing between steps + - Cache frequently used values + +## Example: Complex Workflow + +Here's an example combining various step types: + +```yaml +main: + # Initial setup + - evaluate: + start_time: "datetime.now().isoformat()" + + # Get user input + - wait_for_input: + info: + message: "Enter search topics (comma-separated)" + + # Process input + - evaluate: + topics: "_.input.split(',')" + + # Parallel search + - map_reduce: + over: _.topics + map: + - parallel: + - tool: web_search + arguments: + query: _ + - tool: arxiv_search + arguments: + query: _ + parallelism: 3 + + # Process results + - foreach: + in: _ + do: + - evaluate: + web_results: _[0] + academic_results: _[1] + - if: "len(_.web_results) > 0 or len(_.academic_results) > 0" + then: + - tool: summarize + arguments: + texts: _.web_results + _.academic_results + else: + - evaluate: + summary: "'No results found'" + + # Return final results + - return: + results: _ + metadata: + start_time: _.start_time + end_time: "datetime.now().isoformat()" +``` + +## Next Steps + +1. [Learn about control flow](/building-blocks/tasks/control-flow) +2. [Explore task basics](/building-blocks/tasks/task-basics) +3. [Understand agent tools](/building-blocks/agents/agent-tools) \ No newline at end of file diff --git a/documentation/building-blocks/users/user-context.mdx b/documentation/building-blocks/users/user-context.mdx new file mode 100644 index 000000000..f69e7cef5 --- /dev/null +++ b/documentation/building-blocks/users/user-context.mdx @@ -0,0 +1,373 @@ +--- +title: 'User Context' +description: 'Managing user-specific data and preferences in Julep' +--- + +## Overview + +User context in Julep enables personalized experiences by maintaining user-specific data, preferences, and settings across interactions. This guide explains how to effectively manage and utilize user context in your applications. + +## Understanding User Context + +### Context Types + +1. **User Preferences** + - Language settings + - UI preferences + - Notification settings + +2. **Interaction History** + - Past conversations + - Previous tasks + - Usage patterns + +3. **Custom Data** + - Application-specific settings + - User-defined variables + - Integration preferences + +## Managing User Context + +### Setting Context + +Set user-specific context: + +```python Python +# Update user preferences +context = client.context.set( + user_id, + preferences={ + "language": "en", + "theme": "dark", + "notifications": { + "email": True, + "push": False + } + } +) + +# Add custom context +custom_context = client.context.set( + user_id, + custom_data={ + "project_id": "proj_123", + "role": "admin", + "features": ["advanced_search", "analytics"] + } +) +``` + +### Retrieving Context + +Access user context: + +```python Python +# Get all context +context = client.context.get(user_id) + +# Get specific context +preferences = client.context.get( + user_id, + path="preferences" +) + +# Get nested context +notification_settings = client.context.get( + user_id, + path="preferences.notifications" +) +``` + +### Updating Context + +Modify existing context: + +```python Python +# Update specific fields +updated_context = client.context.update( + user_id, + path="preferences.theme", + value="light" +) + +# Merge context +merged_context = client.context.merge( + user_id, + preferences={ + "notifications": { + "desktop": True + } + } +) +``` + +## Context in Tasks + +### Accessing Context + +Use context in task workflows: + +```yaml +tools: + - name: get_context + system: + resource: agent + subresource: context + operation: get + +main: + # Get user preferences + - tool: get_context + arguments: + user_id: "{{inputs.user_id}}" + path: "preferences" + + # Use preferences in prompt + - prompt: + - role: system + content: > + User preferences: + Language: {{_.preferences.language}} + Theme: {{_.preferences.theme}} + - role: user + content: "{{inputs.query}}" +``` + +### Updating Context in Tasks + +Modify context during task execution: + +```yaml +tools: + - name: update_context + system: + resource: agent + subresource: context + operation: update + +main: + # Update user preferences based on interaction + - prompt: + - role: user + content: "{{inputs.query}}" + + - tool: update_context + arguments: + user_id: "{{inputs.user_id}}" + path: "preferences.last_topic" + value: "{{inputs.query}}" +``` + +## Context Persistence + +### Storage Options + +Configure context storage: + +```python Python +# Set context with storage options +context = client.context.set( + user_id, + preferences={ + "language": "en" + }, + storage_options={ + "persistence": "permanent", + "encryption": True, + "ttl": 86400 # 24 hours + } +) + +# Set temporary context +temp_context = client.context.set( + user_id, + temporary_data={ + "current_task": "analysis" + }, + storage_options={ + "persistence": "temporary", + "ttl": 3600 # 1 hour + } +) +``` + +### Context Lifecycle + +Manage context lifecycle: + +```python Python +# Clear specific context +client.context.clear( + user_id, + path="temporary_data" +) + +# Clear all context +client.context.clear(user_id) + +# Export context +context_backup = client.context.export(user_id) + +# Import context +client.context.import_( + user_id, + context_data=context_backup +) +``` + +## Best Practices + +1. **Context Organization** + - Use clear hierarchical structure + - Separate permanent and temporary data + - Document context schema + +2. **Performance** + - Cache frequently accessed context + - Use selective updates + - Implement context pruning + +3. **Security** + - Encrypt sensitive data + - Implement access controls + - Regular context cleanup + +## Example: Advanced Context Management + +Here's a comprehensive example of context management: + +```python Python +class ContextManager: + def __init__(self, client): + self.client = client + + async def initialize_user_context(self, user_id, initial_data): + # Set up basic context structure + context = await self.client.context.set( + user_id, + preferences=initial_data.get("preferences", {}), + settings=initial_data.get("settings", {}), + metadata={ + "created_at": datetime.now().isoformat(), + "version": "1.0" + } + ) + + # Set up temporary storage + temp_context = await self.client.context.set( + user_id, + temporary_data={}, + storage_options={ + "persistence": "temporary", + "ttl": 3600 + } + ) + + return { + "permanent": context, + "temporary": temp_context + } + + async def update_interaction_context(self, user_id, interaction_data): + # Get current context + context = await self.client.context.get(user_id) + + # Update interaction history + history = context.get("interaction_history", []) + history.append({ + "timestamp": datetime.now().isoformat(), + "type": interaction_data["type"], + "data": interaction_data["data"] + }) + + # Trim history if needed + if len(history) > 100: + history = history[-100:] + + # Update context + updated_context = await self.client.context.merge( + user_id, + interaction_history=history, + metadata={ + "last_interaction": datetime.now().isoformat() + } + ) + + # Update temporary context + temp_context = await self.client.context.set( + user_id, + temporary_data={ + "current_interaction": interaction_data, + "session_data": { + "start_time": context.get("temporary_data", {}).get("session_data", {}).get("start_time", datetime.now().isoformat()), + "interaction_count": len(history) + } + }, + storage_options={ + "persistence": "temporary", + "ttl": 3600 + } + ) + + return { + "permanent": updated_context, + "temporary": temp_context + } + + async def get_user_insights(self, user_id): + # Get full context + context = await self.client.context.get(user_id) + + # Analyze interaction history + history = context.get("interaction_history", []) + + # Generate insights + insights = { + "total_interactions": len(history), + "interaction_types": Counter(i["type"] for i in history), + "recent_topics": [i["data"].get("topic") for i in history[-5:]], + "preferences": context.get("preferences", {}), + "session_data": context.get("temporary_data", {}).get("session_data", {}) + } + + return insights + +# Use the manager +manager = ContextManager(client) + +# Initialize context +context = await manager.initialize_user_context( + user_id, + initial_data={ + "preferences": { + "language": "en", + "theme": "dark" + }, + "settings": { + "notifications": True + } + } +) + +# Update context with interaction +updated = await manager.update_interaction_context( + user_id, + interaction_data={ + "type": "query", + "data": { + "topic": "AI", + "query": "How does machine learning work?" + } + } +) + +# Get insights +insights = await manager.get_user_insights(user_id) +print("User insights:", insights) +``` + +## Next Steps + +1. [Explore user sessions](/building-blocks/users/user-sessions) +2. [Learn about user management](/building-blocks/users/user-management) +3. [Understand session management](/building-blocks/sessions/session-management) \ No newline at end of file diff --git a/documentation/building-blocks/users/user-management.mdx b/documentation/building-blocks/users/user-management.mdx new file mode 100644 index 000000000..cc52ea7ef --- /dev/null +++ b/documentation/building-blocks/users/user-management.mdx @@ -0,0 +1,385 @@ +--- +title: 'User Management' +description: 'Creating and managing user profiles in Julep' +--- + +## Overview + +User management in Julep allows you to create and manage user profiles, enabling personalized experiences and user-specific context in your applications. This guide covers the essential aspects of user management. + +## Creating Users + +### Basic User Creation + +Create a new user profile: + +```python Python +# Create a user +user = client.users.create( + username="john_doe", + metadata={ + "name": "John Doe", + "email": "john@example.com", + "preferences": { + "language": "en", + "timezone": "UTC" + } + } +) + +print(f"Created user: {user.id}") +``` + +### Batch User Creation + +Create multiple users efficiently: + +```python Python +# Create multiple users +users = client.users.create_batch([ + { + "username": "user1", + "metadata": { + "name": "User One", + "email": "user1@example.com" + } + }, + { + "username": "user2", + "metadata": { + "name": "User Two", + "email": "user2@example.com" + } + } +]) + +for user in users: + print(f"Created user: {user.id}") +``` + +## Managing Users + +### Retrieving Users + +Get user information: + +```python Python +# Get user by ID +user = client.users.get(user_id) + +# List all users +users = client.users.list() + +# Search users +filtered_users = client.users.search( + query="john", + metadata_filter={ + "preferences.language": "en" + } +) +``` + +### Updating Users + +Update user profiles: + +```python Python +# Update user metadata +updated_user = client.users.update( + user_id, + metadata={ + "preferences": { + "language": "es", + "notifications_enabled": True + } + } +) + +# Patch specific fields +patched_user = client.users.patch( + user_id, + metadata={ + "last_login": "2024-01-01T00:00:00Z" + } +) +``` + +### Deleting Users + +Remove user profiles: + +```python Python +# Delete a user +client.users.delete(user_id) + +# Batch delete users +client.users.delete_batch(user_ids) +``` + +## User Data Management + +### User Metadata + +Structure user metadata effectively: + +```python Python +metadata = { + "profile": { + "name": "John Doe", + "email": "john@example.com", + "avatar_url": "https://example.com/avatar.jpg" + }, + "preferences": { + "language": "en", + "timezone": "UTC", + "theme": "dark", + "notifications": { + "email": True, + "push": False + } + }, + "settings": { + "default_model": "gpt-4", + "max_tokens": 1000, + "temperature": 0.7 + } +} + +user = client.users.create( + username="john_doe", + metadata=metadata +) +``` + +### User Groups + +Manage user groups: + +```python Python +# Create a group +group = client.groups.create( + name="premium_users", + metadata={ + "access_level": "premium", + "features": ["advanced_tools", "priority_support"] + } +) + +# Add users to group +client.groups.add_users( + group_id=group.id, + user_ids=[user1_id, user2_id] +) + +# Get group members +members = client.groups.list_users(group.id) +``` + +## User Authentication + +### Token Management + +Manage user authentication tokens: + +```python Python +# Create user token +token = client.users.create_token( + user_id, + expires_in=3600, # 1 hour + metadata={ + "device": "mobile", + "platform": "ios" + } +) + +# Revoke token +client.users.revoke_token(token.id) + +# List user tokens +tokens = client.users.list_tokens(user_id) +``` + +### Session Management + +Handle user sessions: + +```python Python +# Create user session +session = client.sessions.create( + user_id=user.id, + metadata={ + "device": "web", + "ip_address": "192.168.1.1" + } +) + +# End session +client.sessions.end(session.id) + +# List active sessions +active_sessions = client.sessions.list( + user_id=user.id, + status="active" +) +``` + +## Best Practices + +1. **User Data Organization** + - Structure metadata consistently + - Use meaningful field names + - Include essential user information + +2. **Security** + - Implement proper authentication + - Manage tokens securely + - Regular security audits + +3. **Performance** + - Use batch operations + - Implement caching + - Optimize queries + +## Example: Complete User Management + +Here's a comprehensive example of user management: + +```python Python +class UserManager: + def __init__(self, client): + self.client = client + + async def create_user_with_preferences(self, username, email, preferences): + # Create user + user = await self.client.users.create( + username=username, + metadata={ + "email": email, + "preferences": preferences, + "created_at": datetime.now().isoformat() + } + ) + + # Create initial session + session = await self.client.sessions.create( + user_id=user.id, + metadata={ + "type": "initial_setup", + "created_at": datetime.now().isoformat() + } + ) + + # Set up user workspace + workspace = await self.client.workspaces.create( + name=f"{username}'s Workspace", + metadata={ + "owner_id": user.id, + "created_at": datetime.now().isoformat() + } + ) + + # Update user with workspace + updated_user = await self.client.users.update( + user.id, + metadata={ + **user.metadata, + "workspace_id": workspace.id + } + ) + + return { + "user": updated_user, + "session": session, + "workspace": workspace + } + + async def archive_user(self, user_id): + # Get user data + user = await self.client.users.get(user_id) + + # End all sessions + sessions = await self.client.sessions.list( + user_id=user_id, + status="active" + ) + for session in sessions: + await self.client.sessions.end(session.id) + + # Archive workspace + if "workspace_id" in user.metadata: + await self.client.workspaces.update( + user.metadata["workspace_id"], + metadata={ + "status": "archived", + "archived_at": datetime.now().isoformat() + } + ) + + # Archive user + archived_user = await self.client.users.update( + user_id, + metadata={ + **user.metadata, + "status": "archived", + "archived_at": datetime.now().isoformat() + } + ) + + return archived_user + + async def get_user_activity(self, user_id): + # Get user sessions + sessions = await self.client.sessions.list( + user_id=user_id, + limit=100 + ) + + # Get user interactions + interactions = await self.client.interactions.list( + user_id=user_id, + limit=100 + ) + + # Analyze activity + activity_summary = { + "total_sessions": len(sessions), + "active_sessions": sum(1 for s in sessions if s.status == "active"), + "total_interactions": len(interactions), + "last_active": max(s.created_at for s in sessions), + "interaction_types": Counter(i.type for i in interactions) + } + + return activity_summary + +# Use the manager +manager = UserManager(client) + +# Create new user +result = await manager.create_user_with_preferences( + username="jane_doe", + email="jane@example.com", + preferences={ + "language": "en", + "timezone": "UTC", + "theme": "light" + } +) + +print("Created user:", result["user"].id) +print("Initial session:", result["session"].id) +print("Workspace:", result["workspace"].id) + +# Get user activity +activity = await manager.get_user_activity(result["user"].id) +print("User activity:", activity) + +# Archive user +archived = await manager.archive_user(result["user"].id) +print("Archived user:", archived.id) +``` + +## Next Steps + +1. [Learn about user context](/building-blocks/users/user-context) +2. [Explore user sessions](/building-blocks/users/user-sessions) +3. [Understand session management](/building-blocks/sessions/session-management) \ No newline at end of file diff --git a/documentation/building-blocks/users/user-sessions.mdx b/documentation/building-blocks/users/user-sessions.mdx new file mode 100644 index 000000000..5aa27b675 --- /dev/null +++ b/documentation/building-blocks/users/user-sessions.mdx @@ -0,0 +1,396 @@ +--- +title: 'User Sessions' +description: 'Linking users with sessions and managing user state in Julep' +--- + +## Overview + +User sessions in Julep provide a way to manage user interactions and maintain state across conversations. This guide explains how to effectively manage user sessions and integrate them with your applications. + +## Session Management + +### Creating Sessions + +Create new user sessions: + +```python Python +# Create basic session +session = client.sessions.create( + user_id=user.id, + metadata={ + "device": "web", + "ip_address": "192.168.1.1" + } +) + +# Create session with configuration +configured_session = client.sessions.create( + user_id=user.id, + metadata={ + "device": "mobile", + "platform": "ios" + }, + config={ + "timeout": 3600, # 1 hour + "max_messages": 100, + "context_window": 10 + } +) +``` + +### Session Lifecycle + +Manage session states: + +```python Python +# Start session +active_session = client.sessions.start(session.id) + +# Pause session +paused_session = client.sessions.pause(session.id) + +# Resume session +resumed_session = client.sessions.resume(session.id) + +# End session +ended_session = client.sessions.end(session.id) +``` + +### Session Retrieval + +Access session information: + +```python Python +# Get session by ID +session = client.sessions.get(session_id) + +# List user sessions +sessions = client.sessions.list( + user_id=user.id, + status="active" +) + +# Search sessions +filtered_sessions = client.sessions.search( + metadata_filter={ + "device": "web" + } +) +``` + +## Session Context + +### Managing Session State + +Handle session-specific context: + +```python Python +# Set session context +context = client.sessions.set_context( + session_id, + context={ + "current_task": "analysis", + "last_response": "Previous response data", + "user_input": { + "query": "How does this work?", + "timestamp": "2024-01-01T00:00:00Z" + } + } +) + +# Get session context +session_context = client.sessions.get_context(session_id) + +# Update session context +updated_context = client.sessions.update_context( + session_id, + path="current_task", + value="processing" +) +``` + +### Session History + +Track conversation history: + +```python Python +# Add message to history +client.sessions.add_message( + session_id, + message={ + "role": "user", + "content": "How can I use this feature?", + "timestamp": "2024-01-01T00:00:00Z" + } +) + +# Get session history +history = client.sessions.get_history( + session_id, + limit=10 +) + +# Clear history +client.sessions.clear_history(session_id) +``` + +## Session Integration + +### Tasks and Sessions + +Use sessions in task workflows: + +```yaml +tools: + - name: get_session + system: + resource: agent + subresource: session + operation: get + + - name: update_session + system: + resource: agent + subresource: session + operation: update + +main: + # Get session context + - tool: get_session + arguments: + session_id: "{{inputs.session_id}}" + + # Use context in prompt + - prompt: + - role: system + content: > + Current task: {{_.context.current_task}} + Last response: {{_.context.last_response}} + - role: user + content: "{{inputs.query}}" + + # Update session + - tool: update_session + arguments: + session_id: "{{inputs.session_id}}" + context: + current_task: "completed" + last_response: _ +``` + +### Session Events + +Handle session-related events: + +```python Python +# Subscribe to session events +client.sessions.subscribe( + session_id, + event_types=["message", "state_change"], + callback=handle_session_event +) + +# Handle session events +async def handle_session_event(event): + if event.type == "message": + print(f"New message in session {event.session_id}") + print(f"Content: {event.data.content}") + elif event.type == "state_change": + print(f"Session {event.session_id} state changed to {event.data.state}") +``` + +## Session Storage + +### Configuration Options + +Configure session storage: + +```python Python +# Configure session storage +session = client.sessions.create( + user_id=user.id, + storage_options={ + "persistence": "permanent", + "encryption": True, + "ttl": 86400 # 24 hours + } +) + +# Set temporary storage +temp_session = client.sessions.create( + user_id=user.id, + storage_options={ + "persistence": "temporary", + "ttl": 3600 # 1 hour + } +) +``` + +### Data Management + +Manage session data: + +```python Python +# Export session data +session_data = client.sessions.export(session_id) + +# Import session data +client.sessions.import_( + session_id, + session_data=session_data +) + +# Archive session +client.sessions.archive(session_id) + +# Delete session +client.sessions.delete(session_id) +``` + +## Best Practices + +1. **Session Management** + - Set appropriate timeouts + - Handle session expiry + - Implement proper cleanup + +2. **Context Handling** + - Maintain relevant state + - Clear unnecessary data + - Handle context updates + +3. **Performance** + - Use efficient storage + - Implement caching + - Handle concurrent sessions + +## Example: Complete Session Management + +Here's a comprehensive example of session management: + +```python Python +class SessionManager: + def __init__(self, client): + self.client = client + + async def create_user_session(self, user_id, device_info): + # Create session + session = await self.client.sessions.create( + user_id=user_id, + metadata={ + "device": device_info["type"], + "platform": device_info["platform"], + "created_at": datetime.now().isoformat() + }, + config={ + "timeout": 3600, + "max_messages": 100, + "context_window": 10 + } + ) + + # Initialize session context + context = await self.client.sessions.set_context( + session.id, + context={ + "state": "initialized", + "current_task": None, + "history": [], + "metadata": { + "start_time": datetime.now().isoformat(), + "message_count": 0 + } + } + ) + + return { + "session": session, + "context": context + } + + async def handle_user_message(self, session_id, message): + # Get session + session = await self.client.sessions.get(session_id) + + # Update context + context = await self.client.sessions.get_context(session_id) + + # Add message to history + history = context.get("history", []) + history.append({ + "role": "user", + "content": message, + "timestamp": datetime.now().isoformat() + }) + + # Update session context + updated_context = await self.client.sessions.update_context( + session_id, + context={ + "state": "processing", + "current_task": "handle_message", + "history": history[-10:], # Keep last 10 messages + "metadata": { + "start_time": context["metadata"]["start_time"], + "message_count": len(history) + } + } + ) + + return { + "session": session, + "context": updated_context + } + + async def end_user_session(self, session_id): + # Get final context + context = await self.client.sessions.get_context(session_id) + + # Export session data + session_data = await self.client.sessions.export(session_id) + + # Archive session + archived = await self.client.sessions.archive(session_id) + + # Store session summary + summary = { + "session_id": session_id, + "start_time": context["metadata"]["start_time"], + "end_time": datetime.now().isoformat(), + "message_count": context["metadata"]["message_count"], + "final_state": context["state"] + } + + return { + "summary": summary, + "data": session_data + } + +# Use the manager +manager = SessionManager(client) + +# Create session +session = await manager.create_user_session( + user_id, + device_info={ + "type": "web", + "platform": "chrome" + } +) + +# Handle message +result = await manager.handle_user_message( + session["session"].id, + "How can I use this feature?" +) + +# End session +summary = await manager.end_user_session(session["session"].id) +print("Session summary:", summary) +``` + +## Next Steps + +1. [Learn about user context](/building-blocks/users/user-context) +2. [Explore user management](/building-blocks/users/user-management) +3. [Understand session management](/building-blocks/sessions/session-management) \ No newline at end of file diff --git a/documentation/essentials/code.mdx b/documentation/essentials/code.mdx deleted file mode 100644 index d2a462a7a..000000000 --- a/documentation/essentials/code.mdx +++ /dev/null @@ -1,37 +0,0 @@ ---- -title: 'Code Blocks' -description: 'Display inline code and code blocks' -icon: 'code' ---- - -## Basic - -### Inline Code - -To denote a `word` or `phrase` as code, enclose it in backticks (`). - -``` -To denote a `word` or `phrase` as code, enclose it in backticks (`). -``` - -### Code Block - -Use [fenced code blocks](https://www.markdownguide.org/extended-syntax/#fenced-code-blocks) by enclosing code in three backticks and follow the leading ticks with the programming language of your snippet to get syntax highlighting. Optionally, you can also write the name of your code after the programming language. - -```java HelloWorld.java -class HelloWorld { - public static void main(String[] args) { - System.out.println("Hello, World!"); - } -} -``` - -````md -```java HelloWorld.java -class HelloWorld { - public static void main(String[] args) { - System.out.println("Hello, World!"); - } -} -``` -```` diff --git a/documentation/essentials/images.mdx b/documentation/essentials/images.mdx deleted file mode 100644 index 60ad42d38..000000000 --- a/documentation/essentials/images.mdx +++ /dev/null @@ -1,59 +0,0 @@ ---- -title: 'Images and Embeds' -description: 'Add image, video, and other HTML elements' -icon: 'image' ---- - - - -## Image - -### Using Markdown - -The [markdown syntax](https://www.markdownguide.org/basic-syntax/#images) lets you add images using the following code - -```md -![title](/path/image.jpg) -``` - -Note that the image file size must be less than 5MB. Otherwise, we recommend hosting on a service like [Cloudinary](https://cloudinary.com/) or [S3](https://aws.amazon.com/s3/). You can then use that URL and embed. - -### Using Embeds - -To get more customizability with images, you can also use [embeds](/writing-content/embed) to add images - -```html - -``` - -## Embeds and HTML elements - - - -
- - - -Mintlify supports [HTML tags in Markdown](https://www.markdownguide.org/basic-syntax/#html). This is helpful if you prefer HTML tags to Markdown syntax, and lets you create documentation with infinite flexibility. - - - -### iFrames - -Loads another HTML page within the document. Most commonly used for embedding videos. - -```html - -``` diff --git a/documentation/essentials/markdown.mdx b/documentation/essentials/markdown.mdx deleted file mode 100644 index c8ad9c1f3..000000000 --- a/documentation/essentials/markdown.mdx +++ /dev/null @@ -1,88 +0,0 @@ ---- -title: 'Markdown Syntax' -description: 'Text, title, and styling in standard markdown' -icon: 'text-size' ---- - -## Titles - -Best used for section headers. - -```md -## Titles -``` - -### Subtitles - -Best use to subsection headers. - -```md -### Subtitles -``` - - - -Each **title** and **subtitle** creates an anchor and also shows up on the table of contents on the right. - - - -## Text Formatting - -We support most markdown formatting. Simply add `**`, `_`, or `~` around text to format it. - -| Style | How to write it | Result | -| ------------- | ----------------- | --------------- | -| Bold | `**bold**` | **bold** | -| Italic | `_italic_` | _italic_ | -| Strikethrough | `~strikethrough~` | ~strikethrough~ | - -You can combine these. For example, write `**_bold and italic_**` to get **_bold and italic_** text. - -You need to use HTML to write superscript and subscript text. That is, add `` or `` around your text. - -| Text Size | How to write it | Result | -| ----------- | ------------------------ | ---------------------- | -| Superscript | `superscript` | superscript | -| Subscript | `subscript` | subscript | - -## Linking to Pages - -You can add a link by wrapping text in `[]()`. You would write `[link to google](https://google.com)` to [link to google](https://google.com). - -Links to pages in your docs need to be root-relative. Basically, you should include the entire folder path. For example, `[link to text](/writing-content/text)` links to the page "Text" in our components section. - -Relative links like `[link to text](../text)` will open slower because we cannot optimize them as easily. - -## Blockquotes - -### Singleline - -To create a blockquote, add a `>` in front of a paragraph. - -> Dorothy followed her through many of the beautiful rooms in her castle. - -```md -> Dorothy followed her through many of the beautiful rooms in her castle. -``` - -### Multiline - -> Dorothy followed her through many of the beautiful rooms in her castle. -> -> The Witch bade her clean the pots and kettles and sweep the floor and keep the fire fed with wood. - -```md -> Dorothy followed her through many of the beautiful rooms in her castle. -> -> The Witch bade her clean the pots and kettles and sweep the floor and keep the fire fed with wood. -``` - -### LaTeX - -Mintlify supports [LaTeX](https://www.latex-project.org) through the Latex component. - -8 x (vk x H1 - H2) = (0,1) - -```md -8 x (vk x H1 - H2) = (0,1) -``` diff --git a/documentation/essentials/navigation.mdx b/documentation/essentials/navigation.mdx deleted file mode 100644 index ca44bb645..000000000 --- a/documentation/essentials/navigation.mdx +++ /dev/null @@ -1,66 +0,0 @@ ---- -title: 'Navigation' -description: 'The navigation field in mint.json defines the pages that go in the navigation menu' -icon: 'map' ---- - -The navigation menu is the list of links on every website. - -You will likely update `mint.json` every time you add a new page. Pages do not show up automatically. - -## Navigation syntax - -Our navigation syntax is recursive which means you can make nested navigation groups. You don't need to include `.mdx` in page names. - - - -```json Regular Navigation -"navigation": [ - { - "group": "Getting Started", - "pages": ["quickstart"] - } -] -``` - -```json Nested Navigation -"navigation": [ - { - "group": "Getting Started", - "pages": [ - "quickstart", - { - "group": "Nested Reference Pages", - "pages": ["nested-reference-page"] - } - ] - } -] -``` - - - -## Folders - -Simply put your MDX files in folders and update the paths in `mint.json`. - -For example, to have a page at `https://yoursite.com/your-folder/your-page` you would make a folder called `your-folder` containing an MDX file called `your-page.mdx`. - - - -You cannot use `api` for the name of a folder unless you nest it inside another folder. Mintlify uses Next.js which reserves the top-level `api` folder for internal server calls. A folder name such as `api-reference` would be accepted. - - - -```json Navigation With Folder -"navigation": [ - { - "group": "Group Name", - "pages": ["your-folder/your-page"] - } -] -``` - -## Hidden Pages - -MDX files not included in `mint.json` will not show up in the sidebar but are accessible through the search bar and by linking directly to them. diff --git a/documentation/essentials/reusable-snippets.mdx b/documentation/essentials/reusable-snippets.mdx deleted file mode 100644 index a0a55297a..000000000 --- a/documentation/essentials/reusable-snippets.mdx +++ /dev/null @@ -1,110 +0,0 @@ ---- -title: Reusable Snippets -description: Reusable, custom snippets to keep content in sync -icon: 'recycle' ---- - -import SnippetIntro from '/snippets/snippet-intro.mdx'; - - - -## Creating a custom snippet - -**Pre-condition**: You must create your snippet file in the `snippets` directory. - - - Any page in the `snippets` directory will be treated as a snippet and will not - be rendered into a standalone page. If you want to create a standalone page - from the snippet, import the snippet into another file and call it as a - component. - - -### Default export - -1. Add content to your snippet file that you want to re-use across multiple - locations. Optionally, you can add variables that can be filled in via props - when you import the snippet. - -```mdx snippets/my-snippet.mdx -Hello world! This is my content I want to reuse across pages. My keyword of the -day is {word}. -``` - - - The content that you want to reuse must be inside the `snippets` directory in - order for the import to work. - - -2. Import the snippet into your destination file. - -```mdx destination-file.mdx ---- -title: My title -description: My Description ---- - -import MySnippet from '/snippets/path/to/my-snippet.mdx'; - -## Header - -Lorem impsum dolor sit amet. - - -``` - -### Reusable variables - -1. Export a variable from your snippet file: - -```mdx snippets/path/to/custom-variables.mdx -export const myName = 'my name'; - -export const myObject = { fruit: 'strawberries' }; -``` - -2. Import the snippet from your destination file and use the variable: - -```mdx destination-file.mdx ---- -title: My title -description: My Description ---- - -import { myName, myObject } from '/snippets/path/to/custom-variables.mdx'; - -Hello, my name is {myName} and I like {myObject.fruit}. -``` - -### Reusable components - -1. Inside your snippet file, create a component that takes in props by exporting - your component in the form of an arrow function. - -```mdx snippets/custom-component.mdx -export const MyComponent = ({ title }) => ( -
-

{title}

-

... snippet content ...

-
-); -``` - - - MDX does not compile inside the body of an arrow function. Stick to HTML - syntax when you can or use a default export if you need to use MDX. - - -2. Import the snippet into your destination file and pass in the props - -```mdx destination-file.mdx ---- -title: My title -description: My Description ---- - -import { MyComponent } from '/snippets/custom-component.mdx'; - -Lorem ipsum dolor sit amet. - - -``` diff --git a/documentation/essentials/settings.mdx b/documentation/essentials/settings.mdx deleted file mode 100644 index a8c158c0d..000000000 --- a/documentation/essentials/settings.mdx +++ /dev/null @@ -1,318 +0,0 @@ ---- -title: 'Global Settings' -description: 'Mintlify gives you complete control over the look and feel of your documentation using the mint.json file' -icon: 'gear' ---- - -Every Mintlify site needs a `mint.json` file with the core configuration settings. Learn more about the [properties](#properties) below. - -## Properties - - -Name of your project. Used for the global title. - -Example: `mintlify` - - - - - An array of groups with all the pages within that group - - - The name of the group. - - Example: `Settings` - - - - The relative paths to the markdown files that will serve as pages. - - Example: `["customization", "page"]` - - - - - - - - Path to logo image or object with path to "light" and "dark" mode logo images - - - Path to the logo in light mode - - - Path to the logo in dark mode - - - Where clicking on the logo links you to - - - - - - Path to the favicon image - - - - Hex color codes for your global theme - - - The primary color. Used for most often for highlighted content, section - headers, accents, in light mode - - - The primary color for dark mode. Used for most often for highlighted - content, section headers, accents, in dark mode - - - The primary color for important buttons - - - The color of the background in both light and dark mode - - - The hex color code of the background in light mode - - - The hex color code of the background in dark mode - - - - - - - - Array of `name`s and `url`s of links you want to include in the topbar - - - The name of the button. - - Example: `Contact us` - - - The url once you click on the button. Example: `https://mintlify.com/docs` - - - - - - - - - Link shows a button. GitHub shows the repo information at the url provided including the number of GitHub stars. - - - If `link`: What the button links to. - - If `github`: Link to the repository to load GitHub information from. - - - Text inside the button. Only required if `type` is a `link`. - - - - - - - Array of version names. Only use this if you want to show different versions - of docs with a dropdown in the navigation bar. - - - - An array of the anchors, includes the `icon`, `color`, and `url`. - - - The [Font Awesome](https://fontawesome.com/search?q=heart) icon used to feature the anchor. - - Example: `comments` - - - The name of the anchor label. - - Example: `Community` - - - The start of the URL that marks what pages go in the anchor. Generally, this is the name of the folder you put your pages in. - - - The hex color of the anchor icon background. Can also be a gradient if you pass an object with the properties `from` and `to` that are each a hex color. - - - Used if you want to hide an anchor until the correct docs version is selected. - - - Pass `true` if you want to hide the anchor until you directly link someone to docs inside it. - - - One of: "brands", "duotone", "light", "sharp-solid", "solid", or "thin" - - - - - - - Override the default configurations for the top-most anchor. - - - The name of the top-most anchor - - - Font Awesome icon. - - - One of: "brands", "duotone", "light", "sharp-solid", "solid", or "thin" - - - - - - An array of navigational tabs. - - - The name of the tab label. - - - The start of the URL that marks what pages go in the tab. Generally, this - is the name of the folder you put your pages in. - - - - - - Configuration for API settings. Learn more about API pages at [API Components](/api-playground/demo). - - - The base url for all API endpoints. If `baseUrl` is an array, it will enable for multiple base url - options that the user can toggle. - - - - - - The authentication strategy used for all API endpoints. - - - The name of the authentication parameter used in the API playground. - - If method is `basic`, the format should be `[usernameName]:[passwordName]` - - - The default value that's designed to be a prefix for the authentication input field. - - E.g. If an `inputPrefix` of `AuthKey` would inherit the default input result of the authentication field as `AuthKey`. - - - - - - Configurations for the API playground - - - - Whether the playground is showing, hidden, or only displaying the endpoint with no added user interactivity `simple` - - Learn more at the [playground guides](/api-playground/demo) - - - - - - Enabling this flag ensures that key ordering in OpenAPI pages matches the key ordering defined in the OpenAPI file. - - This behavior will soon be enabled by default, at which point this field will be deprecated. - - - - - - - A string or an array of strings of URL(s) or relative path(s) pointing to your - OpenAPI file. - - Examples: - - ```json Absolute - "openapi": "https://example.com/openapi.json" - ``` - ```json Relative - "openapi": "/openapi.json" - ``` - ```json Multiple - "openapi": ["https://example.com/openapi1.json", "/openapi2.json", "/openapi3.json"] - ``` - - - - - - An object of social media accounts where the key:property pair represents the social media platform and the account url. - - Example: - ```json - { - "x": "https://x.com/mintlify", - "website": "https://mintlify.com" - } - ``` - - - One of the following values `website`, `facebook`, `x`, `discord`, `slack`, `github`, `linkedin`, `instagram`, `hacker-news` - - Example: `x` - - - The URL to the social platform. - - Example: `https://x.com/mintlify` - - - - - - Configurations to enable feedback buttons - - - - Enables a button to allow users to suggest edits via pull requests - - - Enables a button to allow users to raise an issue about the documentation - - - - - - Customize the dark mode toggle. - - - Set if you always want to show light or dark mode for new users. When not - set, we default to the same mode as the user's operating system. - - - Set to true to hide the dark/light mode toggle. You can combine `isHidden` with `default` to force your docs to only use light or dark mode. For example: - - - ```json Only Dark Mode - "modeToggle": { - "default": "dark", - "isHidden": true - } - ``` - - ```json Only Light Mode - "modeToggle": { - "default": "light", - "isHidden": true - } - ``` - - - - - - - - - A background image to be displayed behind every page. See example with - [Infisical](https://infisical.com/docs) and [FRPC](https://frpc.io). - diff --git a/documentation/favicon.svg b/documentation/favicon.svg old mode 100644 new mode 100755 index 6a3233265..972328bca --- a/documentation/favicon.svg +++ b/documentation/favicon.svg @@ -1,49 +1,5 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + diff --git a/documentation/getting-started/core-concepts.mdx b/documentation/getting-started/core-concepts.mdx new file mode 100644 index 000000000..2fe65a210 --- /dev/null +++ b/documentation/getting-started/core-concepts.mdx @@ -0,0 +1,189 @@ +--- +title: 'Core Concepts' +description: 'Essential concepts and terminology needed to understand Julep' +--- + +## Core Concepts + +Understanding Julep's core concepts is essential for building effective AI applications. This guide covers the fundamental components and how they work together. + +### Agents + +Agents are AI-powered entities that can perform tasks and interact with users. They are the central building blocks of Julep applications. + +```python +agent = client.agents.create( + name="Customer Service Agent", + model="claude-3.5-sonnet", + about="An AI assistant that helps with customer inquiries" +) +``` + +Key aspects of agents: +- **Identity**: Each agent has a name and description that defines its role +- **Model**: The underlying language model (e.g., Claude, GPT-4) +- **Memory**: Ability to maintain context across interactions +- **Tools**: Access to various capabilities through integrated tools + +### Tasks + +Tasks are multi-step workflows that agents can execute. They define a sequence of actions to achieve a specific goal. + +```yaml +name: Process Customer Inquiry +description: Handle a customer question and provide a response + +main: + - prompt: + - role: system + content: "You are a customer service agent." + - role: user + content: "{{inputs.question}}" + + - tool: search_knowledge_base + arguments: + query: "{{_.content}}" + + - prompt: + - role: system + content: "Use this information to answer: {{_.search_results}}" + - role: user + content: "{{inputs.question}}" +``` + +Key aspects of tasks: +- **Structure**: Defined sequence of steps +- **Steps Types**: Various actions like prompts, tool calls, and control flow +- **Context**: Access to inputs and previous step results +- **Tools**: Integration with external services and APIs + +### Sessions + +Sessions maintain the state and context of interactions between users and agents. + +```python +session = client.sessions.create( + agent_id=agent.id, + user_id=user.id, + context_overflow="adaptive" +) + +response = client.sessions.chat( + session_id=session.id, + messages=[{"role": "user", "content": "Hello!"}] +) +``` + +Key aspects of sessions: +- **State Management**: Maintains conversation history +- **Context**: Preserves relevant information across interactions +- **Memory**: Handles long-term and working memory +- **User Association**: Links conversations to specific users + +### Tools + +Tools extend an agent's capabilities by providing access to external functionality. + +```yaml +tools: + - name: search_knowledge_base + type: integration + integration: + provider: elasticsearch + setup: + endpoint: "https://search.example.com" + index: "knowledge_base" +``` + +Types of tools: +1. **User-defined Functions**: Custom functions you implement +2. **System Tools**: Built-in Julep API operations +3. **Integrations**: Pre-built third-party service connections +4. **API Calls**: Direct external API interactions + +### Executions + +Executions are instances of tasks being run with specific inputs. + +```python +execution = client.executions.create( + task_id=task.id, + input={"question": "How do I reset my password?"} +) + +# Monitor execution status +while execution.status not in ['succeeded', 'failed']: + execution = client.executions.get(execution.id) +``` + +Key aspects of executions: +- **State**: Tracks progress and status +- **Input/Output**: Manages data flow +- **History**: Records step-by-step execution +- **Error Handling**: Manages failures and retries + +### Documents + +Documents store information that agents can reference during tasks. + +```python +document = client.agents.docs.create( + agent_id=agent.id, + title="Product Manual", + content="Detailed product information...", + metadata={"category": "documentation"} +) + +# Search documents +results = client.agents.docs.search( + agent_id=agent.id, + text="password reset", + metadata_filter={"category": "documentation"} +) +``` + +Key aspects of documents: +- **Storage**: Persistent knowledge base +- **Search**: Semantic search capabilities +- **Metadata**: Additional context and categorization +- **Versioning**: Document history and updates + +### Putting It All Together + +Here's how these concepts work together in a typical Julep application: + +1. Create an **Agent** with specific capabilities +2. Define **Tasks** the agent can perform +3. Use **Tools** to extend functionality +4. Maintain context with **Sessions** +5. Store knowledge in **Documents** +6. Run **Executions** to complete tasks + +Julep Core Concepts + + +### Next Steps + +Now that you understand the core concepts, you can: + + + + Learn how to work with agents, tasks, and sessions + + + Explore available tools and integrations + + \ No newline at end of file diff --git a/documentation/getting-started/installation.mdx b/documentation/getting-started/installation.mdx new file mode 100644 index 000000000..c24256d31 --- /dev/null +++ b/documentation/getting-started/installation.mdx @@ -0,0 +1,221 @@ +--- +title: 'Installation' +description: 'Step-by-step installation instructions for different environments' +--- + +## Installation Guide + +This guide covers the installation of Julep in various environments and configurations. + +### Prerequisites + +Before installing Julep, ensure you have: + +- Python 3.8+ or Node.js 16+ installed +- pip (for Python) or npm/bun (for Node.js) package manager +- A Julep API key ([Get one here](https://dashboard.julep.ai)) + +### Package Installation + +#### Python Installation + +1. Using pip: +```bash +pip install julep +``` + +2. Using poetry: +```bash +poetry add julep +``` + +3. Using pipenv: +```bash +pipenv install julep +``` + +#### Node.js Installation + +1. Using npm: +```bash +npm install @julep/sdk +``` + +2. Using yarn: +```bash +yarn add @julep/sdk +``` + +3. Using bun: +```bash +bun add @julep/sdk +``` + +### Environment Setup + +#### Setting up Environment Variables + +It's recommended to use environment variables for sensitive information like API keys: + +1. Create a `.env` file in your project root: +```bash +JULEP_API_KEY=your_api_key_here +JULEP_ENVIRONMENT=production # or development +``` + +2. Load the environment variables in your code: + + + ```python Python + import os + from dotenv import load_dotenv + from julep import Julep + + load_dotenv() + + client = Julep( + api_key=os.getenv('JULEP_API_KEY'), + environment=os.getenv('JULEP_ENVIRONMENT', 'production') + ) + ``` + + ```javascript Node.js + import dotenv from 'dotenv'; + import { Julep } from '@julep/sdk'; + + dotenv.config(); + + const client = new Julep({ + apiKey: process.env.JULEP_API_KEY, + environment: process.env.JULEP_ENVIRONMENT || 'production' + }); + ``` + + +### Docker Installation + +If you prefer using Docker, you can run Julep in a containerized environment: + +1. Create a `Dockerfile`: +```dockerfile +# Python +FROM python:3.11-slim +WORKDIR /app +COPY requirements.txt . +RUN pip install -r requirements.txt +COPY . . +CMD ["python", "your_script.py"] + +# Node.js +FROM node:16-slim +WORKDIR /app +COPY package*.json ./ +RUN npm install +COPY . . +CMD ["node", "your_script.js"] +``` + +2. Build and run the container: +```bash +docker build -t my-julep-app . +docker run -e JULEP_API_KEY=your_api_key_here my-julep-app +``` + +### Local Development Setup + +For local development, you can run Julep locally: + +1. Clone the repository: +```bash +git clone https://github.com/julep-ai/julep.git +cd julep +``` + +2. Create required volumes: +```bash +docker volume create cozo_backup +docker volume create cozo_data +``` + +3. Set up environment: +```bash +cp .env.example .env # Edit this file with your settings +``` + +4. Start the services: +```bash +docker compose --env-file .env --profile temporal-ui --profile single-tenant --profile self-hosted-db up --build +``` + +### Verification + +To verify your installation: + + + ```python Python + from julep import Julep + + client = Julep(api_key="your_api_key") + + # Test connection + agent = client.agents.create( + name="Test Agent", + model="claude-3.5-sonnet", + about="A test agent" + ) + print(f"Successfully created agent: {agent.id}") + ``` + + ```javascript Node.js + import { Julep } from '@julep/sdk'; + + const client = new Julep({ + apiKey: 'your_api_key' + }); + + // Test connection + const agent = await client.agents.create({ + name: "Test Agent", + model: "claude-3.5-sonnet", + about: "A test agent" + }); + console.log(`Successfully created agent: ${agent.id}`); + ``` + + +### Troubleshooting + +Common installation issues and solutions: + +1. **API Key Issues** + - Ensure your API key is valid and properly set in environment variables + - Check if you're using the correct environment (production/development) + +2. **Version Compatibility** + - Make sure you're using compatible versions of Python/Node.js + - Update to the latest SDK version if you encounter issues + +3. **Docker Issues** + - Verify Docker is running and has sufficient resources + - Check if required ports are available and not blocked + +### Next Steps + +Now that you have Julep installed, you can: + + + + Create your first Julep agent and task + + + Learn about Julep's fundamental concepts + + \ No newline at end of file diff --git a/documentation/getting-started/quick-start.mdx b/documentation/getting-started/quick-start.mdx new file mode 100644 index 000000000..eb24a6c47 --- /dev/null +++ b/documentation/getting-started/quick-start.mdx @@ -0,0 +1,189 @@ +--- +title: 'Quick Start Guide' +description: '5-minute guide to create your first Julep agent and task' +--- + +## Quick Start Guide + +This guide will help you get started with Julep in just 5 minutes. You'll learn how to create your first AI agent and execute a simple task. + +### Prerequisites + +- Python 3.8+ or Node.js 16+ +- A Julep API key ([Get one here](https://dashboard.julep.ai)) + +### Step 1: Install Julep + +Choose your preferred language: + + + ```bash Python + pip install julep + ``` + + ```bash Node.js + npm install @julep/sdk + # or + bun add @julep/sdk + ``` + + +### Step 2: Initialize the Client + + + ```python Python + from julep import Julep + + client = Julep(api_key="your_julep_api_key") + ``` + + ```javascript Node.js + import { Julep } from '@julep/sdk'; + + const client = new Julep({ + apiKey: 'your_julep_api_key' + }); + ``` + + +### Step 3: Create Your First Agent + +Let's create a simple AI agent that can help with writing tasks: + + + ```python Python + agent = client.agents.create( + name="Writing Assistant", + model="claude-3.5-sonnet", + about="A helpful AI assistant that specializes in writing and editing." + ) + ``` + + ```javascript Node.js + const agent = await client.agents.create({ + name: "Writing Assistant", + model: "claude-3.5-sonnet", + about: "A helpful AI assistant that specializes in writing and editing." + }); + ``` + + +### Step 4: Create a Simple Task + +Let's create a task that generates a short story based on a given topic: + + + ```python Python + task = client.tasks.create( + agent_id=agent.id, + name="Story Generator", + description="Generate a short story based on a given topic", + main=[ + { + "prompt": [ + { + "role": "system", + "content": "You are a creative story writer." + }, + { + "role": "user", + "content": "Write a short story about {{inputs.topic}}" + } + ] + } + ] + ) + ``` + + ```javascript Node.js + const task = await client.tasks.create( + agent.id, + { + name: "Story Generator", + description: "Generate a short story based on a given topic", + main: [ + { + prompt: [ + { + role: "system", + content: "You are a creative story writer." + }, + { + role: "user", + content: "Write a short story about {{inputs.topic}}" + } + ] + } + ] + } + ); + ``` + + +### Step 5: Execute the Task + +Now let's run the task with a specific topic: + + + ```python Python + execution = client.executions.create( + task_id=task.id, + input={"topic": "a magical garden"} + ) + + # Wait for the execution to complete + while (result := client.executions.get(execution.id)).status not in ['succeeded', 'failed']: + print(result.status) + time.sleep(1) + + if result.status == "succeeded": + print(result.output) + else: + print(f"Error: {result.error}") + ``` + + ```javascript Node.js + const execution = await client.executions.create( + task.id, + { + input: { topic: "a magical garden" } + } + ); + + // Wait for the execution to complete + let result; + while (true) { + result = await client.executions.get(execution.id); + if (result.status === 'succeeded' || result.status === 'failed') break; + console.log(result.status); + await new Promise(resolve => setTimeout(resolve, 1000)); + } + + if (result.status === 'succeeded') { + console.log(result.output); + } else { + console.error(`Error: ${result.error}`); + } + ``` + + +### Next Steps + +Congratulations! You've created your first Julep agent and executed a task. 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