mirror of
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Merge branch 'main' into feat/improve-yaml-extraction
This commit is contained in:
Brandon Hancock (bhancock_ai)
187
docs/changelog.mdx
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187
docs/changelog.mdx
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@@ -0,0 +1,187 @@
|
||||
---
|
||||
title: Changelog
|
||||
description: View the latest updates and changes to CrewAI
|
||||
icon: timeline
|
||||
---
|
||||
|
||||
<Update label="2024-03-17" description="v0.108.0">
|
||||
**Features**
|
||||
- Converted tabs to spaces in `crew.py` template
|
||||
- Enhanced LLM Streaming Response Handling and Event System
|
||||
- Included `model_name`
|
||||
- Enhanced Event Listener with rich visualization and improved logging
|
||||
- Added fingerprints
|
||||
|
||||
**Bug Fixes**
|
||||
- Fixed Mistral issues
|
||||
- Fixed a bug in documentation
|
||||
- Fixed type check error in fingerprint property
|
||||
|
||||
**Documentation Updates**
|
||||
- Improved tool documentation
|
||||
- Updated installation guide for the `uv` tool package
|
||||
- Added instructions for upgrading crewAI with the `uv` tool
|
||||
- Added documentation for `ApifyActorsTool`
|
||||
</Update>
|
||||
|
||||
<Update label="2024-03-10" description="v0.105.0">
|
||||
**Core Improvements & Fixes**
|
||||
- Fixed issues with missing template variables and user memory configuration
|
||||
- Improved async flow support and addressed agent response formatting
|
||||
- Enhanced memory reset functionality and fixed CLI memory commands
|
||||
- Fixed type issues, tool calling properties, and telemetry decoupling
|
||||
|
||||
**New Features & Enhancements**
|
||||
- Added Flow state export and improved state utilities
|
||||
- Enhanced agent knowledge setup with optional crew embedder
|
||||
- Introduced event emitter for better observability and LLM call tracking
|
||||
- Added support for Python 3.10 and ChatOllama from langchain_ollama
|
||||
- Integrated context window size support for the o3-mini model
|
||||
- Added support for multiple router calls
|
||||
|
||||
**Documentation & Guides**
|
||||
- Improved documentation layout and hierarchical structure
|
||||
- Added QdrantVectorSearchTool guide and clarified event listener usage
|
||||
- Fixed typos in prompts and updated Amazon Bedrock model listings
|
||||
</Update>
|
||||
|
||||
<Update label="2024-02-12" description="v0.102.0">
|
||||
**Core Improvements & Fixes**
|
||||
- Enhanced LLM Support: Improved structured LLM output, parameter handling, and formatting for Anthropic models
|
||||
- Crew & Agent Stability: Fixed issues with cloning agents/crews using knowledge sources, multiple task outputs in conditional tasks, and ignored Crew task callbacks
|
||||
- Memory & Storage Fixes: Fixed short-term memory handling with Bedrock, ensured correct embedder initialization, and added a reset memories function in the crew class
|
||||
- Training & Execution Reliability: Fixed broken training and interpolation issues with dict and list input types
|
||||
|
||||
**New Features & Enhancements**
|
||||
- Advanced Knowledge Management: Improved naming conventions and enhanced embedding configuration with custom embedder support
|
||||
- Expanded Logging & Observability: Added JSON format support for logging and integrated MLflow tracing documentation
|
||||
- Data Handling Improvements: Updated excel_knowledge_source.py to process multi-tab files
|
||||
- General Performance & Codebase Clean-Up: Streamlined enterprise code alignment and resolved linting issues
|
||||
- Adding new tool: `QdrantVectorSearchTool`
|
||||
|
||||
**Documentation & Guides**
|
||||
- Updated AI & Memory Docs: Improved Bedrock, Google AI, and long-term memory documentation
|
||||
- Task & Workflow Clarity: Added "Human Input" row to Task Attributes, Langfuse guide, and FileWriterTool documentation
|
||||
- Fixed Various Typos & Formatting Issues
|
||||
</Update>
|
||||
|
||||
<Update label="2024-01-28" description="v0.100.0">
|
||||
**Features**
|
||||
- Add Composio docs
|
||||
- Add SageMaker as a LLM provider
|
||||
|
||||
**Fixes**
|
||||
- Overall LLM connection issues
|
||||
- Using safe accessors on training
|
||||
- Add version check to crew_chat.py
|
||||
|
||||
**Documentation**
|
||||
- New docs for crewai chat
|
||||
- Improve formatting and clarity in CLI and Composio Tool docs
|
||||
</Update>
|
||||
|
||||
<Update label="2024-01-20" description="v0.98.0">
|
||||
**Features**
|
||||
- Conversation crew v1
|
||||
- Add unique ID to flow states
|
||||
- Add @persist decorator with FlowPersistence interface
|
||||
|
||||
**Integrations**
|
||||
- Add SambaNova integration
|
||||
- Add NVIDIA NIM provider in cli
|
||||
- Introducing VoyageAI
|
||||
|
||||
**Fixes**
|
||||
- Fix API Key Behavior and Entity Handling in Mem0 Integration
|
||||
- Fixed core invoke loop logic and relevant tests
|
||||
- Make tool inputs actual objects and not strings
|
||||
- Add important missing parts to creating tools
|
||||
- Drop litellm version to prevent windows issue
|
||||
- Before kickoff if inputs are none
|
||||
- Fixed typos, nested pydantic model issue, and docling issues
|
||||
</Update>
|
||||
|
||||
<Update label="2024-01-04" description="v0.95.0">
|
||||
**New Features**
|
||||
- Adding Multimodal Abilities to Crew
|
||||
- Programatic Guardrails
|
||||
- HITL multiple rounds
|
||||
- Gemini 2.0 Support
|
||||
- CrewAI Flows Improvements
|
||||
- Add Workflow Permissions
|
||||
- Add support for langfuse with litellm
|
||||
- Portkey Integration with CrewAI
|
||||
- Add interpolate_only method and improve error handling
|
||||
- Docling Support
|
||||
- Weviate Support
|
||||
|
||||
**Fixes**
|
||||
- output_file not respecting system path
|
||||
- disk I/O error when resetting short-term memory
|
||||
- CrewJSONEncoder now accepts enums
|
||||
- Python max version
|
||||
- Interpolation for output_file in Task
|
||||
- Handle coworker role name case/whitespace properly
|
||||
- Add tiktoken as explicit dependency and document Rust requirement
|
||||
- Include agent knowledge in planning process
|
||||
- Change storage initialization to None for KnowledgeStorage
|
||||
- Fix optional storage checks
|
||||
- include event emitter in flows
|
||||
- Docstring, Error Handling, and Type Hints Improvements
|
||||
- Suppressed userWarnings from litellm pydantic issues
|
||||
</Update>
|
||||
|
||||
<Update label="2023-12-05" description="v0.86.0">
|
||||
**Changes**
|
||||
- Remove all references to pipeline and pipeline router
|
||||
- Add Nvidia NIM as provider in Custom LLM
|
||||
- Add knowledge demo + improve knowledge docs
|
||||
- Add HITL multiple rounds of followup
|
||||
- New docs about yaml crew with decorators
|
||||
- Simplify template crew
|
||||
</Update>
|
||||
|
||||
<Update label="2023-12-04" description="v0.85.0">
|
||||
**Features**
|
||||
- Added knowledge to agent level
|
||||
- Feat/remove langchain
|
||||
- Improve typed task outputs
|
||||
- Log in to Tool Repository on crewai login
|
||||
|
||||
**Fixes**
|
||||
- Fixes issues with result as answer not properly exiting LLM loop
|
||||
- Fix missing key name when running with ollama provider
|
||||
- Fix spelling issue found
|
||||
|
||||
**Documentation**
|
||||
- Update readme for running mypy
|
||||
- Add knowledge to mint.json
|
||||
- Update Github actions
|
||||
- Update Agents docs to include two approaches for creating an agent
|
||||
- Improvements to LLM Configuration and Usage
|
||||
</Update>
|
||||
|
||||
<Update label="2023-11-25" description="v0.83.0">
|
||||
**New Features**
|
||||
- New before_kickoff and after_kickoff crew callbacks
|
||||
- Support to pre-seed agents with Knowledge
|
||||
- Add support for retrieving user preferences and memories using Mem0
|
||||
|
||||
**Fixes**
|
||||
- Fix Async Execution
|
||||
- Upgrade chroma and adjust embedder function generator
|
||||
- Update CLI Watson supported models + docs
|
||||
- Reduce level for Bandit
|
||||
- Fixing all tests
|
||||
|
||||
**Documentation**
|
||||
- Update Docs
|
||||
</Update>
|
||||
|
||||
<Update label="2023-11-13" description="v0.80.0">
|
||||
**Fixes**
|
||||
- Fixing Tokens callback replacement bug
|
||||
- Fixing Step callback issue
|
||||
- Add cached prompt tokens info on usage metrics
|
||||
- Fix crew_train_success test
|
||||
</Update>
|
||||
@@ -150,6 +150,8 @@ result = crew.kickoff(
|
||||
|
||||
Here are examples of how to use different types of knowledge sources:
|
||||
|
||||
Note: Please ensure that you create the ./knowldge folder. All source files (e.g., .txt, .pdf, .xlsx, .json) should be placed in this folder for centralized management.
|
||||
|
||||
### Text File Knowledge Source
|
||||
```python
|
||||
from crewai.knowledge.source.text_file_knowledge_source import TextFileKnowledgeSource
|
||||
@@ -460,12 +462,12 @@ class SpaceNewsKnowledgeSource(BaseKnowledgeSource):
|
||||
data = response.json()
|
||||
articles = data.get('results', [])
|
||||
|
||||
formatted_data = self._format_articles(articles)
|
||||
formatted_data = self.validate_content(articles)
|
||||
return {self.api_endpoint: formatted_data}
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to fetch space news: {str(e)}")
|
||||
|
||||
def _format_articles(self, articles: list) -> str:
|
||||
def validate_content(self, articles: list) -> str:
|
||||
"""Format articles into readable text."""
|
||||
formatted = "Space News Articles:\n\n"
|
||||
for article in articles:
|
||||
|
||||
@@ -746,5 +746,5 @@ Learn how to get the most out of your LLM configuration:
|
||||
<Tip>
|
||||
Use larger context models for extensive tasks
|
||||
</Tip>
|
||||
|
||||
```
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
@@ -60,7 +60,8 @@ my_crew = Crew(
|
||||
```python Code
|
||||
from crewai import Crew, Process
|
||||
from crewai.memory import LongTermMemory, ShortTermMemory, EntityMemory
|
||||
from crewai.memory.storage import LTMSQLiteStorage, RAGStorage
|
||||
from crewai.memory.storage.rag_storage import RAGStorage
|
||||
from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
|
||||
from typing import List, Optional
|
||||
|
||||
# Assemble your crew with memory capabilities
|
||||
@@ -119,7 +120,7 @@ Example using environment variables:
|
||||
import os
|
||||
from crewai import Crew
|
||||
from crewai.memory import LongTermMemory
|
||||
from crewai.memory.storage import LTMSQLiteStorage
|
||||
from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
|
||||
|
||||
# Configure storage path using environment variable
|
||||
storage_path = os.getenv("CREWAI_STORAGE_DIR", "./storage")
|
||||
@@ -148,7 +149,7 @@ crew = Crew(memory=True) # Uses default storage locations
|
||||
```python
|
||||
from crewai import Crew
|
||||
from crewai.memory import LongTermMemory
|
||||
from crewai.memory.storage import LTMSQLiteStorage
|
||||
from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
|
||||
|
||||
# Configure custom storage paths
|
||||
crew = Crew(
|
||||
|
||||
223
docs/docs.json
Normal file
223
docs/docs.json
Normal file
@@ -0,0 +1,223 @@
|
||||
{
|
||||
"$schema": "https://mintlify.com/docs.json",
|
||||
"theme": "palm",
|
||||
"name": "CrewAI",
|
||||
"colors": {
|
||||
"primary": "#EB6658",
|
||||
"light": "#F3A78B",
|
||||
"dark": "#C94C3C"
|
||||
},
|
||||
"favicon": "favicon.svg",
|
||||
"navigation": {
|
||||
"tabs": [
|
||||
{
|
||||
"tab": "Get Started",
|
||||
"groups": [
|
||||
{
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"introduction",
|
||||
"installation",
|
||||
"quickstart",
|
||||
"changelog"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Guides",
|
||||
"pages": [
|
||||
{
|
||||
"group": "Concepts",
|
||||
"pages": [
|
||||
"guides/concepts/evaluating-use-cases"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Agents",
|
||||
"pages": [
|
||||
"guides/agents/crafting-effective-agents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Crews",
|
||||
"pages": [
|
||||
"guides/crews/first-crew"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Flows",
|
||||
"pages": [
|
||||
"guides/flows/first-flow",
|
||||
"guides/flows/mastering-flow-state"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Advanced",
|
||||
"pages": [
|
||||
"guides/advanced/customizing-prompts",
|
||||
"guides/advanced/fingerprinting"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Core Concepts",
|
||||
"pages": [
|
||||
"concepts/agents",
|
||||
"concepts/tasks",
|
||||
"concepts/crews",
|
||||
"concepts/flows",
|
||||
"concepts/knowledge",
|
||||
"concepts/llms",
|
||||
"concepts/processes",
|
||||
"concepts/collaboration",
|
||||
"concepts/training",
|
||||
"concepts/memory",
|
||||
"concepts/planning",
|
||||
"concepts/testing",
|
||||
"concepts/cli",
|
||||
"concepts/tools",
|
||||
"concepts/event-listener",
|
||||
"concepts/langchain-tools",
|
||||
"concepts/llamaindex-tools"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "How to Guides",
|
||||
"pages": [
|
||||
"how-to/create-custom-tools",
|
||||
"how-to/sequential-process",
|
||||
"how-to/hierarchical-process",
|
||||
"how-to/custom-manager-agent",
|
||||
"how-to/llm-connections",
|
||||
"how-to/customizing-agents",
|
||||
"how-to/multimodal-agents",
|
||||
"how-to/coding-agents",
|
||||
"how-to/force-tool-output-as-result",
|
||||
"how-to/human-input-on-execution",
|
||||
"how-to/kickoff-async",
|
||||
"how-to/kickoff-for-each",
|
||||
"how-to/replay-tasks-from-latest-crew-kickoff",
|
||||
"how-to/conditional-tasks",
|
||||
"how-to/agentops-observability",
|
||||
"how-to/langtrace-observability",
|
||||
"how-to/mlflow-observability",
|
||||
"how-to/openlit-observability",
|
||||
"how-to/portkey-observability",
|
||||
"how-to/langfuse-observability"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Tools",
|
||||
"pages": [
|
||||
"tools/aimindtool",
|
||||
"tools/apifyactorstool",
|
||||
"tools/bravesearchtool",
|
||||
"tools/browserbaseloadtool",
|
||||
"tools/codedocssearchtool",
|
||||
"tools/codeinterpretertool",
|
||||
"tools/composiotool",
|
||||
"tools/csvsearchtool",
|
||||
"tools/dalletool",
|
||||
"tools/directorysearchtool",
|
||||
"tools/directoryreadtool",
|
||||
"tools/docxsearchtool",
|
||||
"tools/exasearchtool",
|
||||
"tools/filereadtool",
|
||||
"tools/filewritetool",
|
||||
"tools/firecrawlcrawlwebsitetool",
|
||||
"tools/firecrawlscrapewebsitetool",
|
||||
"tools/firecrawlsearchtool",
|
||||
"tools/githubsearchtool",
|
||||
"tools/hyperbrowserloadtool",
|
||||
"tools/linkupsearchtool",
|
||||
"tools/llamaindextool",
|
||||
"tools/serperdevtool",
|
||||
"tools/s3readertool",
|
||||
"tools/s3writertool",
|
||||
"tools/scrapegraphscrapetool",
|
||||
"tools/scrapeelementfromwebsitetool",
|
||||
"tools/jsonsearchtool",
|
||||
"tools/mdxsearchtool",
|
||||
"tools/mysqltool",
|
||||
"tools/multiontool",
|
||||
"tools/nl2sqltool",
|
||||
"tools/patronustools",
|
||||
"tools/pdfsearchtool",
|
||||
"tools/pgsearchtool",
|
||||
"tools/qdrantvectorsearchtool",
|
||||
"tools/ragtool",
|
||||
"tools/scrapewebsitetool",
|
||||
"tools/scrapflyscrapetool",
|
||||
"tools/seleniumscrapingtool",
|
||||
"tools/snowflakesearchtool",
|
||||
"tools/spidertool",
|
||||
"tools/txtsearchtool",
|
||||
"tools/visiontool",
|
||||
"tools/weaviatevectorsearchtool",
|
||||
"tools/websitesearchtool",
|
||||
"tools/xmlsearchtool",
|
||||
"tools/youtubechannelsearchtool",
|
||||
"tools/youtubevideosearchtool"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Telemetry",
|
||||
"pages": [
|
||||
"telemetry"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"tab": "Examples",
|
||||
"groups": [
|
||||
{
|
||||
"group": "Examples",
|
||||
"pages": [
|
||||
"examples/example"
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"global": {
|
||||
"anchors": [
|
||||
{
|
||||
"anchor": "Community",
|
||||
"href": "https://community.crewai.com",
|
||||
"icon": "discourse"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"logo": {
|
||||
"light": "crew_only_logo.png",
|
||||
"dark": "crew_only_logo.png"
|
||||
},
|
||||
"appearance": {
|
||||
"default": "dark",
|
||||
"strict": false
|
||||
},
|
||||
"navbar": {
|
||||
"primary": {
|
||||
"type": "github",
|
||||
"href": "https://github.com/crewAIInc/crewAI"
|
||||
}
|
||||
},
|
||||
"search": {
|
||||
"prompt": "Search CrewAI docs"
|
||||
},
|
||||
"seo": {
|
||||
"indexing": "navigable"
|
||||
},
|
||||
"footer": {
|
||||
"socials": {
|
||||
"website": "https://crewai.com",
|
||||
"x": "https://x.com/crewAIInc",
|
||||
"github": "https://github.com/crewAIInc/crewAI",
|
||||
"linkedin": "https://www.linkedin.com/company/crewai-inc",
|
||||
"youtube": "https://youtube.com/@crewAIInc",
|
||||
"reddit": "https://www.reddit.com/r/crewAIInc/"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,4 +1,5 @@
|
||||
---title: Customizing Prompts
|
||||
---
|
||||
title: Customizing Prompts
|
||||
description: Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.
|
||||
icon: message-pen
|
||||
---
|
||||
|
||||
225
docs/mint.json
225
docs/mint.json
@@ -1,225 +0,0 @@
|
||||
{
|
||||
"name": "CrewAI",
|
||||
"theme": "venus",
|
||||
"logo": {
|
||||
"dark": "crew_only_logo.png",
|
||||
"light": "crew_only_logo.png"
|
||||
},
|
||||
"favicon": "favicon.svg",
|
||||
"colors": {
|
||||
"primary": "#EB6658",
|
||||
"light": "#F3A78B",
|
||||
"dark": "#C94C3C",
|
||||
"anchors": {
|
||||
"from": "#737373",
|
||||
"to": "#EB6658"
|
||||
}
|
||||
},
|
||||
"seo": {
|
||||
"indexHiddenPages": false
|
||||
},
|
||||
"modeToggle": {
|
||||
"default": "dark",
|
||||
"isHidden": false
|
||||
},
|
||||
"feedback": {
|
||||
"suggestEdit": true,
|
||||
"raiseIssue": true,
|
||||
"thumbsRating": true
|
||||
},
|
||||
"topbarCtaButton": {
|
||||
"type": "github",
|
||||
"url": "https://github.com/crewAIInc/crewAI"
|
||||
},
|
||||
"primaryTab": {
|
||||
"name": "Get Started"
|
||||
},
|
||||
"tabs": [
|
||||
{
|
||||
"name": "Examples",
|
||||
"url": "examples"
|
||||
}
|
||||
],
|
||||
"anchors": [
|
||||
{
|
||||
"name": "Community",
|
||||
"icon": "discourse",
|
||||
"url": "https://community.crewai.com"
|
||||
},
|
||||
{
|
||||
"name": "Changelog",
|
||||
"icon": "timeline",
|
||||
"url": "https://github.com/crewAIInc/crewAI/releases"
|
||||
}
|
||||
],
|
||||
"navigation": [
|
||||
{
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"introduction",
|
||||
"installation",
|
||||
"quickstart"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Guides",
|
||||
"pages": [
|
||||
{
|
||||
"group": "Concepts",
|
||||
"pages": [
|
||||
"guides/concepts/evaluating-use-cases"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Agents",
|
||||
"pages": [
|
||||
"guides/agents/crafting-effective-agents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Crews",
|
||||
"pages": [
|
||||
"guides/crews/first-crew"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Flows",
|
||||
"pages": [
|
||||
"guides/flows/first-flow",
|
||||
"guides/flows/mastering-flow-state"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Advanced",
|
||||
"pages": [
|
||||
"guides/advanced/customizing-prompts",
|
||||
"guides/advanced/fingerprinting"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Core Concepts",
|
||||
"pages": [
|
||||
"concepts/agents",
|
||||
"concepts/tasks",
|
||||
"concepts/crews",
|
||||
"concepts/flows",
|
||||
"concepts/knowledge",
|
||||
"concepts/llms",
|
||||
"concepts/processes",
|
||||
"concepts/collaboration",
|
||||
"concepts/training",
|
||||
"concepts/memory",
|
||||
"concepts/planning",
|
||||
"concepts/testing",
|
||||
"concepts/cli",
|
||||
"concepts/tools",
|
||||
"concepts/event-listener",
|
||||
"concepts/langchain-tools",
|
||||
"concepts/llamaindex-tools"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "How to Guides",
|
||||
"pages": [
|
||||
"how-to/create-custom-tools",
|
||||
"how-to/sequential-process",
|
||||
"how-to/hierarchical-process",
|
||||
"how-to/custom-manager-agent",
|
||||
"how-to/llm-connections",
|
||||
"how-to/customizing-agents",
|
||||
"how-to/multimodal-agents",
|
||||
"how-to/coding-agents",
|
||||
"how-to/force-tool-output-as-result",
|
||||
"how-to/human-input-on-execution",
|
||||
"how-to/kickoff-async",
|
||||
"how-to/kickoff-for-each",
|
||||
"how-to/replay-tasks-from-latest-crew-kickoff",
|
||||
"how-to/conditional-tasks",
|
||||
"how-to/agentops-observability",
|
||||
"how-to/langtrace-observability",
|
||||
"how-to/mlflow-observability",
|
||||
"how-to/openlit-observability",
|
||||
"how-to/portkey-observability",
|
||||
"how-to/langfuse-observability"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Examples",
|
||||
"pages": [
|
||||
"examples/example"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Tools",
|
||||
"pages": [
|
||||
"tools/aimindtool",
|
||||
"tools/apifyactorstool",
|
||||
"tools/bravesearchtool",
|
||||
"tools/browserbaseloadtool",
|
||||
"tools/codedocssearchtool",
|
||||
"tools/codeinterpretertool",
|
||||
"tools/composiotool",
|
||||
"tools/csvsearchtool",
|
||||
"tools/dalletool",
|
||||
"tools/directorysearchtool",
|
||||
"tools/directoryreadtool",
|
||||
"tools/docxsearchtool",
|
||||
"tools/exasearchtool",
|
||||
"tools/filereadtool",
|
||||
"tools/filewritetool",
|
||||
"tools/firecrawlcrawlwebsitetool",
|
||||
"tools/firecrawlscrapewebsitetool",
|
||||
"tools/firecrawlsearchtool",
|
||||
"tools/githubsearchtool",
|
||||
"tools/hyperbrowserloadtool",
|
||||
"tools/linkupsearchtool",
|
||||
"tools/llamaindextool",
|
||||
"tools/serperdevtool",
|
||||
"tools/s3readertool",
|
||||
"tools/s3writertool",
|
||||
"tools/scrapegraphscrapetool",
|
||||
"tools/scrapeelementfromwebsitetool",
|
||||
"tools/jsonsearchtool",
|
||||
"tools/mdxsearchtool",
|
||||
"tools/mysqltool",
|
||||
"tools/multiontool",
|
||||
"tools/nl2sqltool",
|
||||
"tools/patronustools",
|
||||
"tools/pdfsearchtool",
|
||||
"tools/pgsearchtool",
|
||||
"tools/qdrantvectorsearchtool",
|
||||
"tools/ragtool",
|
||||
"tools/scrapewebsitetool",
|
||||
"tools/scrapflyscrapetool",
|
||||
"tools/seleniumscrapingtool",
|
||||
"tools/snowflakesearchtool",
|
||||
"tools/spidertool",
|
||||
"tools/txtsearchtool",
|
||||
"tools/visiontool",
|
||||
"tools/weaviatevectorsearchtool",
|
||||
"tools/websitesearchtool",
|
||||
"tools/xmlsearchtool",
|
||||
"tools/youtubechannelsearchtool",
|
||||
"tools/youtubevideosearchtool"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Telemetry",
|
||||
"pages": [
|
||||
"telemetry"
|
||||
]
|
||||
}
|
||||
],
|
||||
"search": {
|
||||
"prompt": "Search CrewAI docs"
|
||||
},
|
||||
"footerSocials": {
|
||||
"website": "https://crewai.com",
|
||||
"x": "https://x.com/crewAIInc",
|
||||
"github": "https://github.com/crewAIInc/crewAI",
|
||||
"linkedin": "https://www.linkedin.com/company/crewai-inc",
|
||||
"youtube": "https://youtube.com/@crewAIInc"
|
||||
}
|
||||
}
|
||||
@@ -7,8 +7,10 @@ icon: file-code
|
||||
# `JSONSearchTool`
|
||||
|
||||
<Note>
|
||||
The JSONSearchTool is currently in an experimental phase. This means the tool is under active development, and users might encounter unexpected behavior or changes.
|
||||
We highly encourage feedback on any issues or suggestions for improvements.
|
||||
The JSONSearchTool is currently in an experimental phase. This means the tool
|
||||
is under active development, and users might encounter unexpected behavior or
|
||||
changes. We highly encourage feedback on any issues or suggestions for
|
||||
improvements.
|
||||
</Note>
|
||||
|
||||
## Description
|
||||
@@ -60,7 +62,7 @@ tool = JSONSearchTool(
|
||||
# stream=true,
|
||||
},
|
||||
},
|
||||
"embedder": {
|
||||
"embedding_model": {
|
||||
"provider": "google", # or openai, ollama, ...
|
||||
"config": {
|
||||
"model": "models/embedding-001",
|
||||
@@ -70,4 +72,4 @@ tool = JSONSearchTool(
|
||||
},
|
||||
}
|
||||
)
|
||||
```
|
||||
```
|
||||
|
||||
@@ -8,8 +8,8 @@ icon: vector-square
|
||||
|
||||
## Description
|
||||
|
||||
The `RagTool` is designed to answer questions by leveraging the power of Retrieval-Augmented Generation (RAG) through EmbedChain.
|
||||
It provides a dynamic knowledge base that can be queried to retrieve relevant information from various data sources.
|
||||
The `RagTool` is designed to answer questions by leveraging the power of Retrieval-Augmented Generation (RAG) through EmbedChain.
|
||||
It provides a dynamic knowledge base that can be queried to retrieve relevant information from various data sources.
|
||||
This tool is particularly useful for applications that require access to a vast array of information and need to provide contextually relevant answers.
|
||||
|
||||
## Example
|
||||
@@ -138,7 +138,7 @@ config = {
|
||||
"model": "gpt-4",
|
||||
}
|
||||
},
|
||||
"embedder": {
|
||||
"embedding_model": {
|
||||
"provider": "openai",
|
||||
"config": {
|
||||
"model": "text-embedding-ada-002"
|
||||
@@ -151,4 +151,4 @@ rag_tool = RagTool(config=config, summarize=True)
|
||||
|
||||
## Conclusion
|
||||
|
||||
The `RagTool` provides a powerful way to create and query knowledge bases from various data sources. By leveraging Retrieval-Augmented Generation, it enables agents to access and retrieve relevant information efficiently, enhancing their ability to provide accurate and contextually appropriate responses.
|
||||
The `RagTool` provides a powerful way to create and query knowledge bases from various data sources. By leveraging Retrieval-Augmented Generation, it enables agents to access and retrieve relevant information efficiently, enhancing their ability to provide accurate and contextually appropriate responses.
|
||||
|
||||
@@ -10,6 +10,7 @@ dependencies = [
|
||||
|
||||
[project.scripts]
|
||||
kickoff = "{{folder_name}}.main:kickoff"
|
||||
run_crew = "{{folder_name}}.main:kickoff"
|
||||
plot = "{{folder_name}}.main:plot"
|
||||
|
||||
[build-system]
|
||||
|
||||
Reference in New Issue
Block a user