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The closing stage. mcpd now hosts the Stage 5 SPA, the Docker image bundles the build artifact, a smoke test exercises the personality HTTP surface end-to-end, and the user-facing docs spell out the mental model. mcpd: - Add @fastify/static dep. - New routes/web-ui.ts: registers /ui/* against a static bundle. Looks for the bundle at $MCPD_WEB_ROOT, then /usr/share/mcpd/web (the Docker image path), then a dev-tree fallback. Logs and skips cleanly if missing — API-only deploys keep working. - SPA fallback: any /ui/<path> that doesn't match a file falls through to index.html so direct hits to react-router URLs work. - /ui/* falls through to `kind: skip` in mapUrlToPermission, so the static assets are served unauthenticated. Each API call from the SPA still carries the bearer token. Deploy: - Dockerfile.mcpd builds the @mcpctl/web bundle in the same builder stage and copies dist/ to /usr/share/mcpd/web in the runtime image. Smoke (personality.smoke.test.ts): - Live mcpd flow: create secret/llm/agent/personality, attach an agent-direct prompt, verify the binding listing, reject double- attach (409) + foreign-agent prompt (400), set defaultPersonality by name, detach + delete cleanup. Docs: - New docs/personalities.md: VLAN-on-ethernet model, system-block ordering table, three prompt scopes, CLI walkthrough, web UI walkthrough, full API surface, RBAC notes. - agents.md and chat.md cross-link. - README's Agents section gains a Personalities subsection. Test count after Stage 6: mcpd: 801/801 cli: 430/430 web: 7/7 db: 58/62 (4 pre-existing) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
127 lines
4.4 KiB
Markdown
127 lines
4.4 KiB
Markdown
# `mcpctl chat`
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Open an interactive chat session with an `Agent`, or send a single message
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in one shot. See [agents.md](agents.md) for what an Agent is and how to
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create one.
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## Modes
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```bash
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mcpctl chat <agent> # interactive REPL, new thread
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mcpctl chat <agent> --thread <id> # interactive REPL, resume thread
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mcpctl chat <agent> -m "hi" # one-shot, prints reply, no REPL
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mcpctl chat <agent> -m "hi" --no-stream # one-shot, single JSON response (no SSE)
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```
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Streaming is on by default. Text deltas land on stdout as they arrive; tool
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calls and tool results print to stderr in dim brackets so the chat output
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stays clean.
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## Per-call flags
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All optional. They override the agent's `defaultParams` for this session
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only — use the in-REPL `/save` slash-command to persist the current set
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back to the agent.
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```bash
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--system <text> # replace agent.systemPrompt for this session
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--system-file <path> # read --system text from a file
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--system-append <text> # append to the agent system block (after project Prompts)
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--personality <name> # apply a personality overlay for this turn
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# (additive — see docs/personalities.md)
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--temperature <n> # 0..2
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--top-p <n> # 0..1
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--top-k <n> # integer; Anthropic-only, OpenAI ignores
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--max-tokens <n> # cap on assistant tokens
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--seed <n> # reproducibility (provider-dependent)
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--stop <text> # stop sequence (repeatable, up to 4)
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--allow-tool <name> # repeat to allowlist project MCP tools
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--extra <key=value> # provider-specific knob (repeatable)
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--no-stream # disable SSE; single JSON response
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```
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`--extra` is the LiteLLM-style escape hatch: pass anything the underlying
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adapter understands. Numeric values are auto-parsed (`--extra
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repetition_penalty=1.1`); strings stay strings.
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## In-REPL slash-commands
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```
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/set KEY VALUE adjust an override for the rest of the session
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(temperature, top-p, top-k, max-tokens, seed, stop,
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or any provider-specific knob — unknown keys go
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into `extra`)
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/system <text> set systemAppend for this turn onward (empty = clear)
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/tools list MCP servers the agent can call as tools
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/clear start a fresh thread (same agent)
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/save PATCH agent.defaultParams = current overrides
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(systemOverride / systemAppend are NOT persisted)
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/quit, /exit leave the REPL (Ctrl-D works too)
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```
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## Threads
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Threads persist server-side. To resume:
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```bash
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mcpctl get threads --agent reviewer
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mcpctl chat reviewer --thread <id>
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```
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A `mcpctl get thread <id>` reads the message log:
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```bash
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mcpctl get thread c0abc… -o yaml
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```
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## Examples
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**Quick gut-check on a deploy:**
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```bash
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$ mcpctl chat reviewer -m "is fulldeploy.sh safe to run on the current branch?"
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Yes — I checked: tests are green on commit 727e7d6 and there's no
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in-flight migration. The k8s context is worker0-k8s0 (production); confirm
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that's intended before running.
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(thread: cm9k…)
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```
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**Resuming with overrides:**
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```bash
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$ mcpctl chat deployer --thread cm9k… --temperature 0.0 --max-tokens 256
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> walk me through what changed since the last deploy
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…
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```
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**Pinning sampling defaults to the agent:**
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```
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$ mcpctl chat deployer --temperature 0.0 --max-tokens 8000
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> /save
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(saved current overrides as agent.defaultParams)
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> /quit
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```
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## Troubleshooting
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- **No agents appear in `tools/list`** — check the agent has a project
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attach (`mcpctl describe agent <name>`). The mcplocal plugin only
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exposes agents on their attached project's session.
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- **Tool calls fail with `Project not found`** — the agent has no project
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attach. Either attach it (`mcpctl edit agent <name>` and set the project
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field), or expect text-only chat.
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- **Anthropic agents can't call tools** — known limitation; the Anthropic
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adapter doesn't translate OpenAI tool format yet. Use LiteLLM or a
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direct OpenAI-compatible provider for tool-using agents until the
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translator ships.
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- **`mcpctl chat <agent>` returns 404** — the agent name doesn't resolve.
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`mcpctl get agents` to confirm spelling.
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- **REPL feels stuck** — agent tool calls can take minutes (e.g. running a
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Grafana query). Watch stderr for `[tool_call: …]` / `[tool_result: …]`
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brackets; those tell you the loop is alive.
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