WeaveA no-code AI workflow builder that enables businesses to automate operations by integrating multiple large language models (LLMs) and connecting prompts seam...

4.8 (5)

Reviewed by Daniel Nikulshyn·Updated June 2026

No-Code Workflow Automation LLM Integration Business Automation AI Orchestration Prompt Chaining

Overview

W&B Weave is an observability and evaluation platform that helps track and improve large language model (LLM) applications. Weave provides tools to trace, collect metrics, and evaluate application responses using LLM judges and custom scorers. Key features include tracing sessions, LLM calls, and tool calls, as well as manual instrumentation of custom agents. The platform supports integrations with popular SDKs and harnesses, as well as custom agent observability. Weave provides Python and TypeScript libraries for installing and using the platform. It is hosted on Weights & Biases (W&B), requiring a W&B account and API key for authentication. Users can trace calls to LLMs, review inputs and outputs, and view agent metrics in the Weave UI. While Weave facilitates automation and evaluation of LLM applications, it is not a no-code AI workflow builder as suggested by its name.

Key features

Agent tracing and metric collection
Custom agent observability
LLM tracing and evaluation
OpenTelemetry span support
Weights & Biases (W&B) integrations
Python and TypeScript libraries

Pricing

Model: Free
Category: Observability
Rating: 4.8 / 5 (5)

Use cases

Automate Multi-Step Business Operations

Build no-code workflows that chain prompts across multiple LLMs to automate repetitive business processes without writing code.

Integrate Multiple LLMs in One Pipeline

Connect and orchestrate different large language models within a single workflow to leverage the strengths of each for specific tasks.

Streamline Prompt Chaining

Visually link prompts together so outputs from one step feed into the next, enabling complex AI-driven sequences for teams.

Pros & Cons

Pros

Supports popular SDKs and harnesses
Provides custom agent observability
Integrations with Weights & Biases (W&B) for data collection
Tracing and metric collection capabilities
Evaluation of application responses using LLM judges and custom scorers

Cons

Does not function as a no-code AI workflow builder
May contain mistakes in generated assistant responses
Requires W&B account and API key for authentication

Battle record

Across 1 battle in the Pantheon.

1st

2nd

3rd

Last battle

#4
Observability Showdown — July 25, 2026
Jul 25, 2026 · #4 of 9

Reviews

4.8

Average from 5 ratings.

Wei Chen

Mar 23, 2026

Use it every day

Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and the value for money is strong. but I reach for it almost every day now and it just clicks.

George Papadakis

Feb 7, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and it is genuinely easy to set up. Where it lags: the docs could be deeper. On balance the feature set — especially the dashboard — justifies the 4 stars for our use case.

Ahmed Saleh

Dec 10, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the onboarding and the value for money is strong. Where it lags: pricing gets steep at scale. On balance the feature set — especially the onboarding — justifies the 5 stars for our use case.

Marcus Bell

Oct 16, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the integrations and it saves real time. On balance the feature set — especially the dashboard — justifies the 5 stars for our use case.

Fatima Zahra

Sep 27, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the integrations and the value for money is strong. On balance the feature set — especially the API — justifies the 5 stars for our use case.

Q&A

What observability features does Weave provide for custom agents?

Weave supports manual instrumentation of custom agents, capturing OpenTelemetry spans, tracing session and tool calls, and displaying metrics in the Weave UI. You can also apply LLM judges or custom scorers to evaluate agent responses.

Asked by Tomáš Novák · Jun 9, 2026

What are the prerequisites for using Weave?

You need a Weights & Biases (W&B) account and an API key for authentication. After installing the Python or TypeScript library, you can start tracing LLM calls and viewing data in the hosted Weave dashboard.

Asked by Rasheed Osman · Jun 10, 2026

How does Weave integrate with existing LLM SDKs and harnesses?

Weave offers Python and TypeScript libraries that hook into popular LLM SDKs and harnesses, automatically tracing calls, inputs, and outputs. The integrations let you collect metrics and evaluate responses without writing custom instrumentation.

Asked by Dumisani Ndlovu · Apr 17, 2026