copaw-api-chatCommunicate with a CoPaw instance through its HTTP API. Use when: (1) you need to inspect available CoPaw agents or chats, (2) create a chat or session and s...
Install via ClawdBot CLI:
clawdbot install erview/copaw-api-chatGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:8088/api/chatsCalls external URL not in known-safe list
http://127.0.0.1:8088/api/chatsAI Analysis
The skill's external API calls (127.0.0.1:8088) target a local CoPaw instance, consistent with its stated purpose of programmatic interaction with a local deployment. While external calls exist, they are to a user-controlled local service, not unauthorized external servers, and no credential harvesting or obfuscation is present.
Audited Apr 16, 2026 · audit v1.0
Generated Oct 3, 2026
A platform team wants to trigger CoPaw agents from their internal dashboard so employees can ask operational questions without opening the CoPaw web UI. They use the chat/session API to create a chat per user request and stream answers back over SSE. This keeps agent usage centralized and auditable.
A support operations team builds a backend service that creates a CoPaw chat for each incoming ticket, sends the customer message to a specialized agent, and reads the SSE response to draft a reply. Human agents review and send the final answer, reducing first-response time. The agent ID and session context are managed per ticket.
A DevOps group embeds CoPaw chat calls into their CI/CD tooling to explain build failures and suggest fixes inside pull request comments. The integration uses agent-scoped routes and Basic Auth via nginx to reach the CoPaw instance. Responses are streamed and parsed to keep CI logs clean.
A solutions engineer creates reusable wrappers and skills on top of the CoPaw HTTP API for clients who need tailored chat automations. They inspect available agents and chats, then compose request sequences for specific workflows. Reference recipes and auth scoping notes guide the integration.
A data analytics team runs a local CoPaw instance and connects it to their notebooks and scripts for ad-hoc analysis questions. They create chats and send messages via Python requests, consuming SSE output to display answers inline. Agent scoping ensures each analysis context stays isolated.
Consultancies help businesses integrate CoPaw HTTP APIs into their internal tools, dashboards, and automations. They scope auth, agent routing, and SSE handling for each client environment. Deliverables include working wrappers, documentation, and handoff training.
A provider hosts CoPaw instances behind nginx with Basic Auth and offers prebuilt API wrappers and SDKs for common languages. Customers get secure endpoints, agent scoping presets, and chat/session management out of the box. This lowers the barrier for teams without infrastructure expertise.
Companies build niche products on top of CoPaw APIs, such as support triage assistants or CI/CD copilots, sold as SaaS. The CoPaw integration handles chat lifecycle, SSE streaming, and agent scoping under the hood. Customers interact with the product UI, not the raw API.
💬 Integration Tip
Start by reading references/overview-auth-scoping.md to confirm auth layers and agent scoping, then follow the minimal path: create a chat via POST /api/chats, reuse session context, and stream the reply from POST /api/agents/{agentId}/console/chat as SSE.
Scored May 29, 2026
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