# Hermes Middleware Hermes middleware is the behavior-changing companion to observer hooks. Observer hooks report what happened. Middleware can change what happens by rewriting a request before execution or by wrapping the execution callback itself. This contract is intentionally backend-neutral. A plugin can use it for local policy, request shaping, tracing, adaptive routing, cache control, sandbox selection, or handoff to runtimes such as NeMo Relay without changing Hermes' planner, model provider adapters, tool registry, memory, or CLI UX. With middleware enabled, plugins can: - Rewrite LLM provider request kwargs before Hermes calls the provider. - Rewrite tool arguments before guardrails, approval checks, hooks, and tool execution see them. - Wrap the actual LLM execution callback while preserving Hermes retry, streaming, interrupt, and hook behavior. - Wrap the actual tool execution callback while preserving Hermes guardrails, approval, post-tool hooks, and tool-result transformation. ## Contract Plugins register middleware from `register(ctx)`: ```python def register(ctx): ctx.register_middleware("llm_request", on_llm_request) ctx.register_middleware("llm_execution", on_llm_execution) ctx.register_middleware("tool_request", on_tool_request) ctx.register_middleware("tool_execution", on_tool_execution) ``` Every middleware callback receives: - `telemetry_schema_version`: currently `hermes.observer.v1` - `middleware_schema_version`: currently `hermes.middleware.v1` - Runtime context such as `session_id`, `task_id`, `turn_id`, `api_request_id`, `provider`, `model`, `api_mode`, `tool_name`, and `tool_call_id` when applicable. Supported middleware kinds: | Kind | Payload | Return shape | Purpose | | --- | --- | --- | --- | | `llm_request` | `request`, `original_request` | `{"request": {...}}` | Replace effective provider kwargs before provider execution. | | `tool_request` | `tool_name`, `args`, `original_args` | `{"args": {...}}` | Replace effective tool args before hooks, guardrails, approvals, and execution. | | `llm_execution` | `request`, `original_request`, `next_call` | Any provider response | Wrap or replace the actual provider call. | | `tool_execution` | `tool_name`, `args`, `original_args`, `next_call` | Any tool result | Wrap or replace the actual tool call. | Request middleware can return optional trace fields: ```python return { "request": updated_request, "source": "my-plugin", "reason": "selected fallback model", } ``` Hermes stores those trace entries in later observer hook payloads as `middleware_trace`. Execution middleware receives a `next_call` callback. Call it to continue the chain: ```python def on_tool_execution(**kwargs): result = kwargs["next_call"](kwargs["args"]) return result ``` If multiple plugins register the same execution middleware kind, Hermes runs them as a nested chain in registration order. Middleware failures are fail-open: Hermes logs a warning and continues with the next middleware or the base runtime path. ## Execution Order ### LLM Calls For each provider request, Hermes applies middleware in this order: 1. Build provider kwargs from the current conversation. 2. Apply `llm_request` middleware. 3. Emit `pre_api_request` observer hooks with the effective request. 4. Run provider execution through `llm_execution` middleware. 5. Emit `post_api_request` or `api_request_error` observer hooks. Request middleware sees the full provider kwargs, including `messages` or Responses API `input`, model settings, tool definitions, stream options, and provider-specific options. Execution middleware receives the same effective request plus `next_call`. ### Tool Calls For each tool call, Hermes applies middleware in this order: 1. Parse and coerce model-provided tool arguments. 2. Apply `tool_request` middleware. 3. Run the normal Hermes pre-execution path against the effective arguments: tool availability checks, observer block directives, guardrails, and approval checks. 4. Run tool execution through `tool_execution` middleware. 5. Emit `post_tool_call` observer hooks. 6. Apply `transform_tool_result` hooks before the result is appended back into conversation context. Tool request middleware runs before approval checks. Use it carefully: a rewritten path, command, or URL is the value downstream policy will evaluate. ## Enablement Middleware only runs for enabled plugins. For a bundled plugin: ```bash hermes plugins enable ``` For isolated local testing, use one `HERMES_HOME` for plugin enablement and the agent run: ```bash export HERMES_HOME=/tmp/hermes-middleware-test mkdir -p "$HERMES_HOME" hermes plugins enable hermes chat --query 'Reply exactly ok' ``` For source checkouts, prefer the source command so the runtime sees plugins and middleware from the working tree: ```bash uv sync uv run hermes plugins enable uv run hermes chat --query 'Reply exactly ok' ``` ## Generic Plugin Examples The examples below are intentionally small. They show the middleware contract shape without depending on NeMo Relay. ### LLM Request Middleware This plugin tags provider requests and records a middleware trace entry: ```python def register(ctx): ctx.register_middleware("llm_request", tag_llm_request) def tag_llm_request(**kwargs): request = dict(kwargs["request"]) extra_body = dict(request.get("extra_body") or {}) extra_body.setdefault("metadata", {})["hermes_middleware_demo"] = True request["extra_body"] = extra_body return { "request": request, "source": "middleware-demo", "reason": "tagged provider request", } ``` The effective request is passed to `pre_api_request`, provider execution, and `post_api_request`. ### Tool Request Middleware This plugin constrains `terminal` calls to a known working directory: ```python def register(ctx): ctx.register_middleware("tool_request", normalize_terminal_workdir) def normalize_terminal_workdir(**kwargs): if kwargs.get("tool_name") != "terminal": return None args = dict(kwargs["args"]) args.setdefault("workdir", "/tmp/hermes-middleware-demo") return { "args": args, "source": "middleware-demo", "reason": "defaulted terminal workdir", } ``` Because this runs before hooks and approvals, downstream telemetry and policy observe the rewritten `workdir`. ### LLM Execution Middleware This plugin wraps the provider call and preserves the raw provider response: ```python import time def register(ctx): ctx.register_middleware("llm_execution", time_llm_execution) def time_llm_execution(**kwargs): started = time.monotonic() response = kwargs["next_call"](kwargs["request"]) elapsed_ms = int((time.monotonic() - started) * 1000) print(f"llm_execution elapsed_ms={elapsed_ms}") return response ``` Return the same response shape Hermes expects from the provider adapter. Do not wrap the response in a plugin-specific envelope unless the rest of the runtime expects that envelope. ### Tool Execution Middleware This plugin wraps tool execution while preserving the tool result: ```python def register(ctx): ctx.register_middleware("tool_execution", annotate_tool_execution) def annotate_tool_execution(**kwargs): result = kwargs["next_call"](kwargs["args"]) # Metrics, logging, or external routing can happen here. return result ``` Execution middleware may call `next_call(modified_args)` to pass a changed payload to later middleware and the base tool dispatcher. Plugin-specific examples should live with the plugin that owns the behavior. For NeMo Relay adaptive execution middleware, see [`plugins/observability/nemo_relay/README.md`](../../plugins/observability/nemo_relay/README.md). ## Safety Notes - Middleware should be deterministic for the same input unless it is explicitly routing to a dynamic external system. - Request middleware should return complete replacement payloads, not partial patches. - Execution middleware should call `next_call(...)` exactly once unless it is intentionally short-circuiting execution. - If execution middleware raises before calling `next_call(...)`, Hermes treats that as middleware failure and continues with the remaining middleware chain and base execution. - If execution middleware calls `next_call(...)` successfully and then raises during post-processing, Hermes preserves the downstream result and does not run the provider or tool a second time. - If downstream provider or tool execution fails, middleware may let that error propagate or translate it deliberately. Hermes does not convert downstream failure into a successful `None` result. - Tool request middleware runs before approvals. If it mutates file paths, commands, URLs, or arguments, the mutated values are what guardrails and approvals evaluate. - Observer hooks remain the right place for read-only telemetry. Use middleware only when a plugin needs to alter or wrap behavior.