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Interrupt is LangChain’s real conference series for people building, deploying, evaluating, and operating AI agents. Its inaugural edition ran in San Francisco on May 13–14, 2025. LangChain’s current company listing announces a one-day return to New York City on September 24, 2026, but ticketing, venue, agenda, pricing, and online-access details still need confirmation from the official registration page.
What is Interrupt?
Interrupt: The AI Agent Conference by LangChain is an industry event organized by LangChain, the company behind the LangChain and LangGraph development ecosystem. It is not a software package, programming-language concept, standalone webinar series, or independent conference organizer.
LangChain introduced Interrupt as a conference for software engineers, AI and machine-learning practitioners, data scientists, researchers, engineering leaders, and others building agentic applications. The subject is broad: sessions can cover tool-calling loops, stateful workflows, multi-agent systems, coding agents, long-running automation, and applications that keep people involved in approval or review.
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What happened at Interrupt 2025?
Dates, venue, and format
The first Interrupt took place at The Midway in San Francisco on May 13–14, 2025. May 13 was scheduled for pre-conference workshops and a social hour; May 14 was the main conference, with a keynote, fireside chats, expert talks, lightning demos, networking, and an afterparty.
The initial announcement described capacity as limited to 750 attendees. LangChain’s later recap reported approximately 800 attendees from around the world. These are different figures with different contexts: 750 was the early announced capacity or estimate, while 800 was the post-event attendance report.
Participants and themes
The announcement named contributors including Andrew Ng, Cognition Labs, Replit, and 11x. LangChain’s recap referenced participation or customer stories involving Cisco, Uber, Replit, LinkedIn, BlackRock, JPMorgan, and Harvey, among others.
According to LangChain’s recap, the program concentrated on:
- Agent engineering: LangChain presented it as a discipline combining software engineering, prompting, product judgment, and reasoning about model behavior. That is LangChain’s framing, not a universally standardized professional category.
- Model choice: The company highlighted the ability to work across multiple model providers rather than designing around one model alone.
- Controllable orchestration: LangGraph was presented as a way to build stateful, more explicitly controlled agent workflows.
- Agent observability: Sessions emphasized tracing tool calls, inspecting trajectories, and diagnosing behavior that ordinary application logs may not explain.
- Production readiness: The recurring question was how teams move from an impressive prototype to a system with evaluation, governance, reliability, and operating procedures.
These themes are useful clues about the event’s likely technical level, but they should not be treated as independent proof that a particular architecture or product is best for every team. LangChain’s 2025 recap provides the company’s account of the program.
Product announcements associated with the event
LangChain connected Interrupt 2025 with announcements including:
- LangGraph Platform becoming generally available.
- Open Agent Platform, described as an open-source, no-code agent builder.
- LangGraph Studio v2.
- Pre-built LangGraph architectures.
- Agent-specific metrics in LangSmith Observability.
- Open evaluations and chat simulations.
- A private-preview capability for aligning and calibrating LLM-as-a-judge evaluations.
Those announcements document the 2025 product direction. Names, availability, pricing, and feature scope may have changed by 2026; do not assume that a feature announced at the conference remains in the same release or plan.
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What is announced for Interrupt 2026?
Last checked: August 18, 2026. LangChain’s current company listing says the next edition is scheduled for September 24, 2026, in New York City. It describes a one-day event for builders, engineering leaders, AI teams, and product teams designing, deploying, and scaling agents in production. The listing mentions JPMorganChase, Apollo.io, and Modal in connection with participation.
| 2026 detail | Current status |
|---|---|
| Date | September 24, 2026, according to LangChain’s company listing |
| City | New York City |
| Format | One day |
| Intended audience | Builders, engineering leaders, AI teams, and product teams working on agents in production |
| Named organizations | JPMorganChase, Apollo.io, and Modal |
| Exact venue | Not verified in the available official material |
| Ticket price and taxes | Not verified |
| Workshop eligibility or fees | Not verified |
| Livestream or virtual pass | Not verified |
| Refund, transfer, accessibility, and travel terms | Not verified |
The listing is an announcement, not a complete event guide. Before booking travel or requesting reimbursement, confirm the venue, start and end times, ticket inventory, workshop rules, meals, recording access, cancellation terms, accessibility information, and any livestream on the official registration page. The listing itself is available at LangChain’s company page.
What happens at Interrupt?
The 2025 format indicates the type of experience attendees can expect, although only details explicitly published for 2026 should be treated as confirmed for that edition.
- Keynotes: Broad views of agent development and LangChain’s product direction.
- Technical talks: Architecture, deployment, evaluation, prompting, debugging, and operating practices.
- Fireside conversations: Experience reports from practitioners and company leaders.
- Workshops: More hands-on instruction than a standard conference session; capacity and separate fees must be checked for 2026.
- Lightning demos: Short demonstrations of tools, workflows, or applications.
- Networking: Conversations with engineers, founders, product teams, vendors, and potential hires.
- Product demonstrations: Expect LangChain ecosystem examples alongside customer or partner stories.
Customer case studies can be valuable, but ask what remained manual, how success was measured, what model and data costs were incurred, which safety controls were required, and how much maintenance the system needs. A successful presentation is not independent validation of a product or architecture.
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AI and software engineers
Interrupt is most directly relevant if you are implementing tool use, stateful workflows, human approval, evaluation suites, tracing, or production deployment. The event may help you compare architecture patterns and identify failure modes that do not appear in a small prototype.
Engineering leaders
Leaders can use the event to examine reliability, governance, operating cost, build-versus-buy decisions, and the organizational work required to support agent systems. Sessions from enterprise teams may be more useful for this audience than introductory model demonstrations.
Product managers and technical founders
The conference can clarify where an agent is appropriate, where a deterministic workflow is safer, and what practical constraints appear after launch. Networking may also be useful for finding partners, customers, or technical hires.
Researchers and advanced practitioners
Interrupt is oriented toward industry practice rather than a peer-reviewed academic program. It can provide examples of deployed systems, evaluation methods, and trajectory monitoring, but it should supplement—not replace—academic literature and reproducible benchmarks.
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Workshops may help newcomers, but the conference is unlikely to substitute for fundamentals such as programming, APIs, model behavior, retrieval, authentication, and basic application testing. If those topics are still new, documentation or a structured course may produce more value per dollar.
Is Interrupt worth attending?
Attend when
- You are actively deploying or evaluating AI agents.
- You want production lessons rather than general generative-AI commentary.
- You use or are seriously evaluating LangChain, LangGraph, or LangSmith.
- You need to compare orchestration, evaluation, deployment, or observability approaches.
- Meeting enterprise AI teams and practitioners is a meaningful objective.
- Your organization can justify travel, time away from work, and the ticket cost.
Consider skipping when
- You are still learning basic Python, APIs, prompting, or retrieval.
- You need strictly vendor-neutral analysis and cannot separate general lessons from LangChain promotion.
- Your main goal is recorded talks; waiting for published recordings may be cheaper.
- You want a research-heavy academic conference.
- You require a guaranteed livestream, fixed agenda, or published price that is not yet available.
- Your team has no current or planned agent project.
Budget the complete cost, not just admission: transport, lodging, meals, local travel, and lost working time. A technically valuable day can still be poor business value if the sessions are too introductory or your team has no way to apply what it learns.
Tickets, recordings, and online access
No reliable 2026 ticket price, workshop fee, refund policy, or virtual-pass term is established here. Check the registration terms before paying, and ask:
- Does the ticket cover workshops, or are they separate and capacity-limited?
- Are meals, receptions, and the afterparty included?
- Do ticket holders receive recordings?
- Is there a livestream or virtual ticket?
- What are the cancellation and transfer deadlines?
- Are student, enterprise, or group discounts available?
- How technical are the sessions, and how much content comes from customers versus LangChain?
- Which models, frameworks, and infrastructure providers beyond LangChain will be represented?
For 2025, LangChain said it planned to share talk recordings after the event. The original announcement described an in-person conference and did not establish a universal livestream or virtual ticket. A separate LangChain event page discusses livestream access in its own context, but that does not confirm online access for the September 24, 2026 New York event: LangChain event material.
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What LangChain products may appear?
Interrupt is also a showcase for LangChain’s development, deployment, evaluation, and observability strategy. Readers can investigate the products independently rather than treating a conference demonstration as a recommendation.
| Product or resource | What it is intended to do | Questions before adopting |
|---|---|---|
| LangChain | Open-source components and integrations for LLM applications and agent workflows. | Do you need orchestration and tool integrations, and can your team operate another framework? |
| LangGraph | Explicit orchestration for stateful, controllable, multi-step agent workflows. | Do you need durable state, branching, or human approval, or would a simpler workflow suffice? |
| LangSmith | Tracing, evaluation, debugging, and operational visibility for LLM and agent applications. | Are third-party traces permitted, and does it add value beyond your existing observability stack? |
| Documentation and open-source repositories | Learning materials and code for evaluating the ecosystem without immediately buying a managed service. | Can you validate security, maintenance, licensing, and portability for your use case? |
Product availability, naming, pricing, and plan limits can change by release, geography, usage, and contract. Consult LangChain’s events page and current product pages rather than relying on 2025 announcements.
Alternatives and trade-offs
Interrupt is a good fit for teams wanting direct exposure to LangChain and production agent discussions. Other learning routes may be better in different circumstances:
- Cloud-provider AI events: Useful when your organization is already standardized on a cloud platform, though they can increase infrastructure coupling.
- Model-provider SDK events: Often deep on one model family, but less model-neutral.
- Open-source communities: Better for self-hosting and control, with more operational responsibility.
- General observability conferences: Broader application-monitoring coverage, but not necessarily agent trajectory or tool-call analysis.
- Documentation and recordings: Lower cost and easier to consume, but without workshops, live networking, or direct access to speakers.
Teams should also account for framework lock-in. LangChain’s integrated tools can reduce the effort of connecting orchestration, evaluation, and observability, while lower-level or vendor-neutral components may preserve more portability. The right choice depends on governance, model strategy, deployment environment, engineering capacity, and the cost of changing direction later.
Bottom line
Interrupt is a legitimate LangChain conference series, not a product name or a generic online course. The May 2025 San Francisco event provides the clearest evidence of its content: production agent architectures, evaluations, observability, deployment, customer case studies, and LangChain product releases. As of August 18, 2026, the next edition is announced for New York City on September 24, but essential logistics remain unverified. Attend if you are building or evaluating production agents and can benefit from LangChain-focused technical sessions and networking; choose documentation, recordings, or a more vendor-neutral event if you need fundamentals, academic research, or confirmed remote access.
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