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feat: AsanaSource for tasks. #843

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bfdf919
fix: nightly builds
mhordynski Sep 22, 2025
0e5bec2
fix: docs deployments
mhordynski Sep 22, 2025
ef012c9
fix: add docs login
mhordynski Sep 22, 2025
e514775
chore: update README.md
mhordynski Sep 25, 2025
71674d9
docs: update index.md in docs
mhordynski Sep 25, 2025
8efdabe
working asana code
Oct 12, 2025
6722754
updated asana
Oct 13, 2025
a00e719
Merge branch 'develop' into feat/asana
eudevkola Oct 13, 2025
5791a55
Merge branch 'develop' into feat/asana
eudevkola Oct 15, 2025
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30 changes: 15 additions & 15 deletions README.md
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Expand Up @@ -21,31 +21,31 @@

### 🔨 Build Reliable & Scalable GenAI Apps

- **Swap LLMs anytime** – Switch between [100+ LLMs via LiteLLM](https://ragbits.deepsense.ai/how-to/llms/use_llms/) or run [local models](https://ragbits.deepsense.ai/how-to/llms/use_local_llms/).
- **Type-safe LLM calls** – Use Python generics to [enforce strict type safety](https://ragbits.deepsense.ai/how-to/prompts/use_prompting/#how-to-configure-prompts-output-data-type) in model interactions.
- **Bring your own vector store** – Connect to [Qdrant](https://ragbits.deepsense.ai/api_reference/core/vector-stores/#ragbits.core.vector_stores.qdrant.QdrantVectorStore), [PgVector](https://ragbits.deepsense.ai/api_reference/core/vector-stores/#ragbits.core.vector_stores.pgvector.PgVectorStore), and more with built-in support.
- **Developer tools included** – [Manage vector stores](https://ragbits.deepsense.ai/cli/main/#ragbits-vector-store), query pipelines, and [test prompts from your terminal](https://ragbits.deepsense.ai/quickstart/quickstart1_prompts/#testing-the-prompt-from-the-cli).
- **Swap LLMs anytime** – Switch between [100+ LLMs via LiteLLM](https://ragbits.deepsense.ai/stable/how-to/llms/use_llms/) or run [local models](https://ragbits.deepsense.ai/stable/how-to/llms/use_local_llms/).
- **Type-safe LLM calls** – Use Python generics to [enforce strict type safety](https://ragbits.deepsense.ai/stable/how-to/prompts/use_prompting/#how-to-configure-prompts-output-data-type) in model interactions.
- **Bring your own vector store** – Connect to [Qdrant](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.qdrant.QdrantVectorStore), [PgVector](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.pgvector.PgVectorStore), and more with built-in support.
- **Developer tools included** – [Manage vector stores](https://ragbits.deepsense.ai/stable/cli/main/#ragbits-vector-store), query pipelines, and [test prompts from your terminal](https://ragbits.deepsense.ai/stable/quickstart/quickstart1_prompts/#testing-the-prompt-from-the-cli).
- **Modular installation** – Install only what you need, reducing dependencies and improving performance.

### 📚 Fast & Flexible RAG Processing

- **Ingest 20+ formats** – Process PDFs, HTML, spreadsheets, presentations, and more. Process data using [Docling](https://github.com/docling-project/docling), [Unstructured](https://github.com/Unstructured-IO/unstructured) or create a custom parser.
- **Handle complex data** – Extract tables, images, and structured content with built-in VLMs support.
- **Connect to any data source** – Use prebuilt connectors for S3, GCS, Azure, or implement your own.
- **Scale ingestion** – Process large datasets quickly with [Ray-based parallel processing](https://ragbits.deepsense.ai/how-to/document_search/distributed_ingestion/#how-to-ingest-documents-in-a-distributed-fashion).
- **Scale ingestion** – Process large datasets quickly with [Ray-based parallel processing](https://ragbits.deepsense.ai/stable/how-to/document_search/distributed_ingestion/#how-to-ingest-documents-in-a-distributed-fashion).

### 🤖 Build Multi-Agent Workflows with Ease

- **Multi-agent coordination** – Create teams of specialized agents with role-based collaboration using [A2A protocol](https://ragbits.deepsense.ai/tutorials/agents) for interoperability.
- **Real-time data integration** – Leverage [Model Context Protocol (MCP)](https://ragbits.deepsense.ai/how-to/agents/provide_mcp_tools) for live web access, database queries, and API integrations.
- **Conversation state management** – Maintain context across interactions with [automatic history tracking](https://ragbits.deepsense.ai/how-to/agents/define_and_use_agents/#conversation-history).
- **Multi-agent coordination** – Create teams of specialized agents with role-based collaboration using [A2A protocol](https://ragbits.deepsense.ai/stable/tutorials/agents) for interoperability.
- **Real-time data integration** – Leverage [Model Context Protocol (MCP)](https://ragbits.deepsense.ai/stable/how-to/agents/provide_mcp_tools) for live web access, database queries, and API integrations.
- **Conversation state management** – Maintain context across interactions with [automatic history tracking](https://ragbits.deepsense.ai/stable/how-to/agents/define_and_use_agents/#conversation-history).

### 🚀 Deploy & Monitor with Confidence

- **Real-time observability** – Track performance with [OpenTelemetry](https://ragbits.deepsense.ai/how-to/project/use_tracing/#opentelemetry-trace-handler) and [CLI insights](https://ragbits.deepsense.ai/how-to/project/use_tracing/#cli-trace-handler).
- **Built-in testing** – Validate prompts [with promptfoo](https://ragbits.deepsense.ai/how-to/prompts/promptfoo/) before deployment.
- **Real-time observability** – Track performance with [OpenTelemetry](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#opentelemetry-trace-handler) and [CLI insights](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#cli-trace-handler).
- **Built-in testing** – Validate prompts [with promptfoo](https://ragbits.deepsense.ai/stable/how-to/prompts/promptfoo/) before deployment.
- **Auto-optimization** – Continuously evaluate and refine model performance.
- **Chat UI** – Deploy [chatbot interface](https://ragbits.deepsense.ai/how-to/chatbots/api/) with API, persistance and user feedback.
- **Chat UI** – Deploy [chatbot interface](https://ragbits.deepsense.ai/stable/how-to/chatbots/api/) with API, persistance and user feedback.

## Installation

Expand Down Expand Up @@ -292,10 +292,10 @@ Explore `create-ragbits-app` repo [here](https://github.com/deepsense-ai/create-

## Documentation

- [Tutorials](https://ragbits.deepsense.ai/tutorials/intro) - Get started with Ragbits in a few minutes
- [How-to](https://ragbits.deepsense.ai/how-to/prompts/use_prompting) - Learn how to use Ragbits in your projects
- [CLI](https://ragbits.deepsense.ai/cli/main) - Learn how to run Ragbits in your terminal
- [API reference](https://ragbits.deepsense.ai/api_reference/core/prompt) - Explore the underlying Ragbits API
- [Tutorials](https://ragbits.deepsense.ai/stable/tutorials/intro) - Get started with Ragbits in a few minutes
- [How-to](https://ragbits.deepsense.ai/stable/how-to/prompts/use_prompting) - Learn how to use Ragbits in your projects
- [CLI](https://ragbits.deepsense.ai/stable/cli/main) - Learn how to run Ragbits in your terminal
- [API reference](https://ragbits.deepsense.ai/stable/api_reference/core/prompt) - Explore the underlying Ragbits API

## Contributing

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22 changes: 11 additions & 11 deletions docs/index.md
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Expand Up @@ -41,31 +41,31 @@ hide:

### 🔨 Build Reliable & Scalable GenAI Apps

- **Swap LLMs anytime** – Switch between [100+ LLMs via LiteLLM](https://ragbits.deepsense.ai/how-to/llms/use_llms/) or run [local models](https://ragbits.deepsense.ai/how-to/llms/use_local_llms/)).
- **Type-safe LLM calls** – Use Python generics to [enforce strict type safety](https://ragbits.deepsense.ai/how-to/prompts/use_prompting/#how-to-configure-prompts-output-data-type) in model interactions.
- **Bring your own vector store** – Connect to [Qdrant](https://ragbits.deepsense.ai/api_reference/core/vector-stores/#ragbits.core.vector_stores.qdrant.QdrantVectorStore), [PgVector](https://ragbits.deepsense.ai/api_reference/core/vector-stores/#ragbits.core.vector_stores.pgvector.PgVectorStore), and more with built-in support.
- **Developer tools included** – [Manage vector stores](https://ragbits.deepsense.ai/cli/main/#ragbits-vector-store), query pipelines, and [test prompts from your terminal](https://ragbits.deepsense.ai/quickstart/quickstart1_prompts/#testing-the-prompt-from-the-cli).
- **Swap LLMs anytime** – Switch between [100+ LLMs via LiteLLM](https://ragbits.deepsense.ai/stable/how-to/llms/use_llms/) or run [local models](https://ragbits.deepsense.ai/stable/how-to/llms/use_local_llms/)).
- **Type-safe LLM calls** – Use Python generics to [enforce strict type safety](https://ragbits.deepsense.ai/stable/how-to/prompts/use_prompting/#how-to-configure-prompts-output-data-type) in model interactions.
- **Bring your own vector store** – Connect to [Qdrant](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.qdrant.QdrantVectorStore), [PgVector](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.pgvector.PgVectorStore), and more with built-in support.
- **Developer tools included** – [Manage vector stores](https://ragbits.deepsense.ai/stable/cli/main/#ragbits-vector-store), query pipelines, and [test prompts from your terminal](https://ragbits.deepsense.ai/stable/quickstart/quickstart1_prompts/#testing-the-prompt-from-the-cli).
- **Modular installation** – Install only what you need, reducing dependencies and improving performance.

### 📚 Fast & Flexible RAG Processing

- **Ingest 20+ formats** – Process PDFs, HTML, spreadsheets, presentations, and more. Process data using [Docling](https://github.com/docling-project/docling), [Unstructured](https://github.com/Unstructured-IO/unstructured) or create a custom parser.
- **Handle complex data** – Extract tables, images, and structured content with built-in VLMs support.
- **Connect to any data source** – Use prebuilt connectors for S3, GCS, Azure, or implement your own.
- **Scale ingestion** – Process large datasets quickly with [Ray-based parallel processing](https://ragbits.deepsense.ai/how-to/document_search/distributed_ingestion/#how-to-ingest-documents-in-a-distributed-fashion).
- **Scale ingestion** – Process large datasets quickly with [Ray-based parallel processing](https://ragbits.deepsense.ai/stable/how-to/document_search/distributed_ingestion/#how-to-ingest-documents-in-a-distributed-fashion).

### 🤖 Build Multi-Agent Workflows with Ease

- **Multi-agent coordination** – Create teams of specialized agents with role-based collaboration using [A2A protocol](https://ragbits.deepsense.ai/tutorials/agents/) for interoperability.
- **Real-time data integration** – Leverage [Model Context Protocol (MCP)](https://ragbits.deepsense.ai/how-to/provide_mcp_tools/) for live web access, database queries, and API integrations.
- **Conversation state management** – Maintain context across interactions with [automatic history tracking](https://ragbits.deepsense.ai/how-to/agents/define_and_use_agents/#conversation-history/).
- **Multi-agent coordination** – Create teams of specialized agents with role-based collaboration using [A2A protocol](https://ragbits.deepsense.ai/stable/tutorials/agents/) for interoperability.
- **Real-time data integration** – Leverage [Model Context Protocol (MCP)](https://ragbits.deepsense.ai/stable/how-to/provide_mcp_tools/) for live web access, database queries, and API integrations.
- **Conversation state management** – Maintain context across interactions with [automatic history tracking](https://ragbits.deepsense.ai/stable/how-to/agents/define_and_use_agents/#conversation-history/).

### 🚀 Deploy & Monitor with Confidence

- **Real-time observability** – Track performance with [OpenTelemetry](https://ragbits.deepsense.ai/how-to/project/use_tracing/#opentelemetry-trace-handler) and [CLI insights](https://ragbits.deepsense.ai/how-to/project/use_tracing/#cli-trace-handler).
- **Built-in testing** – Validate prompts [with promptfoo](https://ragbits.deepsense.ai/how-to/prompts/promptfoo/) before deployment.
- **Real-time observability** – Track performance with [OpenTelemetry](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#opentelemetry-trace-handler) and [CLI insights](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#cli-trace-handler).
- **Built-in testing** – Validate prompts [with promptfoo](https://ragbits.deepsense.ai/stable/how-to/prompts/promptfoo/) before deployment.
- **Auto-optimization** – Continuously evaluate and refine model performance.
- **Chat UI** – Deploy [chatbot interface](https://ragbits.deepsense.ai/how-to/chatbots/api/) with API, persistance and user feedback.
- **Chat UI** – Deploy [chatbot interface](https://ragbits.deepsense.ai/stable/how-to/chatbots/api/) with API, persistance and user feedback.


## Installation
Expand Down
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