Files
optimclaw/tests/e2e/mock_llm.py
T
8a320ae9db fix(routines): complete full_job execution reliability overhaul (#1650)
* fix(routines): persist full LLM transcript and remove sandbox gate for full_job

Routine execution output was invisible — routine_fire returned a one-liner,
routine_history had no actual output, and the conversation thread contained
only a summary. Full-job routines also hard-failed without Docker.

Three fixes:

1. **Full transcript persistence**: execute_lightweight now persists every
   message (prompt, LLM responses, tool calls with params, tool results) to
   the routine's conversation thread as it executes, not just a summary
   after the fact.

2. **Routine output visibility**: routine_history includes conversation_id
   and recent_output messages. routine_fire tells the user to check
   routine_history. Web detail page has a "View Execution Thread" button
   that navigates to the chat tab. ROUTINE_OK stores "No issues found"
   instead of None. Full-job summary pulls actual job output instead of
   generic "Job X finished".

3. **Remove SandboxReadiness gate**: full_job routines dispatch through the
   scheduler like regular /job commands — no Docker required. The
   SandboxReadiness enum is removed entirely.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* style: apply cargo fmt

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(worker): treat AutonomousUnavailable tool errors as recoverable

The job worker crashed the entire job when a tool was denied for
autonomous execution (e.g. secret_list). The error was already recorded
in reason_ctx for the LLM to see, but process_tool_result_job returned
Err which propagated through the agentic loop and terminated the job.

Now all tool errors (including AutonomousUnavailable) return Ok,
letting the LLM see the denial and try a different approach.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(llm): sanitize tool names for OpenAI Codex Responses API

The Codex API requires tool names to match `^[a-zA-Z0-9_-]+$` but
MCP/extension tools can have dots in their names (e.g. `mcp.server.tool`).
This caused HTTP 400 errors when the job worker sent tool calls back
to the LLM.

Sanitize tool names in both `convert_tool_definition` and
`convert_message` (function_call items) by replacing invalid characters
with underscores.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(routines): inject execution context into full_job description [skip-regression-check]

When a full_job routine dispatches a job, the LLM had no context that
it was already executing inside a routine. It wasted iterations on
infrastructure (discovering tools, creating routines, setting up auth)
instead of doing the actual work.

Prepend a clear directive to the job description telling the LLM that
tools and the routine are already configured, and to execute the task
directly.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(mcp): auto-refresh expired OAuth tokens on access [skip-regression-check]

When IronClaw restarts, MCP servers fail with "Secret has expired"
because get_access_token() checks token expiry locally and returns an
error before any HTTP request is made — so the existing 401-retry
refresh logic never triggers.

Now get_access_token() catches SecretError::Expired and automatically
calls refresh_access_token() using the stored refresh token. If the
refresh succeeds, the new token is returned transparently. If it fails,
the error message includes both the expiry and the refresh failure.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(mcp): align refresh token naming and set expiry on stored tokens

Two bugs prevented MCP OAuth token auto-refresh on restart:

1. Naming mismatch: the hosted OAuth flow stored the refresh token as
   `{token_secret_name}_refresh_token` (e.g. `mcp_notion_access_token_refresh_token`)
   but `McpServerConfig::refresh_token_secret_name()` returned
   `mcp_notion_refresh_token`. The refresh token was there but unfindable.

2. Missing expiry: `store_tokens` in auth.rs never called `with_expiry()`
   even though `AccessToken::expires_in` was available. Combined with the
   fix from the previous commit (auto-refresh on Expired), tokens stored
   via the MCP auth flow will now also trigger refresh correctly.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(web): show activity and transitions for agent jobs in job detail [skip-regression-check]

The job events endpoint only checked sandbox jobs for ownership,
returning 404 for agent jobs dispatched from routines. The detail
handler also returned empty transitions for agent jobs.

- events handler: fall back to agent job ownership check
- detail handler: populate transitions from job's state history

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* feat(routines): expose max_iterations for full_job routines (default 25)

The max_iterations parameter was hardcoded to 10 and not configurable
via routine_create or routine_update, causing complex tasks to hit the
iteration cap.

- Add max_iterations to full_job execution schema (1-200, default 25)
- Thread it through parse → build → RoutineAction
- Support updating via routine_update
- Raise default from 10 to 25

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(routines): break self-dialogue loop after full_job plan execution

After plan execution, the completion-check Q&A ("Is the job complete?" /
"No, not complete...") was left in the message context, causing the
agentic loop to repeat the same analysis instead of calling tools.

Replace the stale dialogue with an action-oriented continuation prompt
that instructs the LLM to use tools for remaining work. Also strip
<suggestions> tags from all job output since they're only meaningful
for interactive chat sessions.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(repl): prevent test hang in single-message mode

In single-message mode, start() stored a clone of the mpsc sender in
self.msg_tx for approval injection. After the thread sent /quit and
exited, the stored clone kept the stream alive, so stream.next()
blocked forever in the test assertion that the stream ends.

Skip storing the sender in single-message mode since interactive
approval is not needed.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(jobs): treat text responses as final answer in agentic loop

When the LLM produces a non-empty text response with no tool intent
(already filtered by the nudge mechanism), it is the job's final
answer. Previously, handle_text_response only exited the loop if the
text matched rigid completion phrases like "job is complete". Natural
summaries like "Weekly review completed and saved to Notion" were
added to context and the loop continued, causing the LLM to restate
the same summary until max_iterations was hit.

Now any non-empty text response marks the job complete and stops the
loop, matching the chat dispatcher behavior.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* perf(tests): reduce skills catalog network failure test from 10s to 1s

The test_search_returns_error_on_network_failure test connects to an
unreachable RFC 5737 TEST-NET IP and waited for the full 10s production
REQUEST_TIMEOUT. Add with_url_and_timeout test helper and use a 1s
timeout instead. [skip-regression-check]

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(tools): accept 'message' as alias for 'content' in message tool

LLMs frequently call the message tool with {"message": "..."} instead
of {"content": "..."}. Fall back to the 'message' key when 'content'
is missing to avoid InvalidParameters errors during autonomous job
execution.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(tools): attach thread_id for gateway broadcast in message tool

When the message tool broadcasts to all channels (channel=null), it
sent an OutgoingResponse without a thread_id. The gateway silently
dropped these messages (returned Ok but never sent the SSE event),
so they appeared in repl but not in the web UI.

The thread_id was only populated when channel was explicitly "gateway".
Now it is always populated from notify_thread_id metadata, so
broadcast_all delivers to the gateway correctly.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(gateway): return error instead of silently dropping messages

Gateway broadcast() and respond() previously returned Ok(()) when
thread_id was missing, silently swallowing the message. Callers
(message tool, agent loop) believed delivery succeeded when it didn't.

Now returns ChannelError::MissingRoutingTarget so callers can detect
and report the failure. Four regression tests verify the contract:
respond/broadcast with and without thread_id.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: resolve rebase conflicts with staging

Restore sandbox_readiness field removed by pre-rebase commits (staging
still uses it). Update repl test to match staging's single-message
behavior (no longer sends /quit). Add missing reasoning field to
ToolCall in codex test.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix(tools): log error when routine conversation lookup fails

The routine_history tool silently swallowed errors from
get_or_create_routine_conversation, returning empty output without
any diagnostic logging. Add tracing::warn so failures are visible
in logs. [skip-regression-check]

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: address PR #1650 review comments

- E2E test: accept submitted/accepted as success states in job assertion
- TimeTool: remove operation from required schema (defaults to "now")
- jobs handler: log DB errors server-side, return generic message to client
- routines handler: use read-only find_routine_conversation on GET
- codex provider: reverse-map sanitized tool names so MCP tools resolve

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: address zmanian review feedback on PR #1650

- MCP refresh token: fall back to legacy secret name (mcp_{name}_refresh_token)
  so existing users don't need to re-authenticate after the naming fix
- Job worker: replace fragile messages.pop() with truncate-to-saved-count
  to avoid maintenance hazard if message flow changes
- Document cost implications of max_iterations 10->25 default bump
- Revert Cargo.toml dist profile change (thin LTO comment, codegen-units=16)
  as it's unrelated to this PR

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: resolve rebase conflicts and address new Copilot comments

- Fix no_silent_drop tests for updated GatewayConfig (user_id moved to
  GatewayChannel::new second arg, user_tokens removed)
- Fix handle_text_response param name (_reason_ctx -> reason_ctx)
- Fix missing has_text_response field in test JobDelegate
- Propagate row.get errors in find_routine_conversation instead of
  unwrap_or_default
- Only fall back to legacy refresh token name on NotFound/Expired,
  propagate real errors (DB, decryption)

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
2026-03-28 12:27:43 -07:00

601 lines
22 KiB
Python

"""Mock OpenAI-compatible LLM server for E2E tests.
Serves OpenAI-compatible endpoints for chat completions and model listing.
Supports both streaming and non-streaming responses, plus function calling
via TOOL_CALL_PATTERNS.
"""
import argparse
import asyncio
import json
import re
import time
import uuid
from aiohttp import web
CANNED_RESPONSES = [
(re.compile(r"hello|hi|hey", re.IGNORECASE), "Hello! How can I help you today?"),
(re.compile(r"2\s*\+\s*2|two plus two", re.IGNORECASE), "The answer is 4."),
(re.compile(r"skill|install", re.IGNORECASE), "I can help you with skills management."),
(re.compile(r"html.?test|injection.?test", re.IGNORECASE),
'Here is some content: <script>alert("xss")</script> and <img src=x onerror="alert(1)">'
' and <iframe src="javascript:alert(2)"></iframe> end of content.'),
]
DEFAULT_RESPONSE = "I understand your request."
TOOL_CALL_PATTERNS = [
(re.compile(r"echo (.+)", re.IGNORECASE), "echo", lambda m: {"message": m.group(1)}),
(
re.compile(r"make approval post (?P<label>[a-z0-9_-]+)", re.IGNORECASE),
"http",
lambda m: {
"method": "POST",
"url": f"https://example.com/{m.group('label')}",
"body": {"label": m.group("label")},
},
),
(
re.compile(r"check gmail unread|gmail unread", re.IGNORECASE),
"gmail",
lambda _: {
"action": "list_messages",
"query": "is:unread",
"max_results": 1,
},
),
(re.compile(r"what time|current time", re.IGNORECASE), "time", lambda _: {"operation": "now"}),
(
re.compile(
r"create lightweight owner routine (?P<name>[a-z0-9][a-z0-9_-]*)",
re.IGNORECASE,
),
"routine_create",
lambda m: {
"name": m.group("name"),
"description": f"Owner-scope routine {m.group('name')}",
"trigger_type": "manual",
"prompt": f"Confirm that {m.group('name')} executed.",
"action_type": "lightweight",
"use_tools": False,
},
),
(
re.compile(
r"create full[- ]job owner routine (?P<name>[a-z0-9][a-z0-9_-]*)",
re.IGNORECASE,
),
"routine_create",
lambda m: {
"name": m.group("name"),
"description": f"Owner-scope full-job routine {m.group('name')}",
"trigger_type": "manual",
"prompt": f"Complete the routine job for {m.group('name')}.",
"action_type": "full_job",
},
),
(
re.compile(
r"create event routine (?P<name>[a-z0-9][a-z0-9_-]*) "
r"channel (?P<channel>[a-z0-9_-]+) pattern (?P<pattern>[a-z0-9_|-]+)",
re.IGNORECASE,
),
"routine_create",
lambda m: {
"name": m.group("name"),
"description": f"Event routine {m.group('name')}",
"trigger_type": "event",
"event_channel": None if m.group("channel").lower() == "any" else m.group("channel"),
"event_pattern": m.group("pattern"),
"prompt": f"Acknowledge that {m.group('name')} fired.",
"action_type": "lightweight",
"use_tools": False,
"cooldown_secs": 0,
},
),
(
re.compile(r"list owner routines", re.IGNORECASE),
"routine_list",
lambda _: {},
),
]
def _new_oauth_state() -> dict:
return {
"exchange_count": 0,
"refresh_count": 0,
"last_exchange": None,
"last_refresh": None,
}
def _last_user_content(messages: list[dict]) -> str:
for msg in reversed(messages):
if msg.get("role") == "user":
content = msg.get("content", "")
if isinstance(content, list):
content = " ".join(
p.get("text", "") for p in content if p.get("type") == "text"
)
return content
return ""
def _is_job_mode(messages: list[dict]) -> bool:
"""Detect if this conversation is a background job (not chat)."""
for msg in messages:
if msg.get("role") == "system":
content = msg.get("content", "")
if "autonomous agent working on a job" in content:
return True
return False
def _count_tool_results(messages: list[dict]) -> int:
"""Count how many tool result messages are in the conversation."""
return sum(1 for m in messages if m.get("role") == "tool")
def match_job_response(messages: list[dict], has_tools: bool) -> dict | None:
"""Handle background job conversations.
Returns a dict with either {"text": ...} or {"tool_call": ...},
or None if this isn't a job conversation.
"""
if not _is_job_mode(messages):
return None
last_user = _last_user_content(messages)
tool_result_count = _count_tool_results(messages)
# Planning call (no tools available = complete() not complete_with_tools())
if "create a plan" in last_user.lower():
return {"text": json.dumps({
"goal": "Complete the requested routine job",
"actions": [
{
"tool_name": "echo",
"parameters": {"message": "job-step-1"},
"reasoning": "First step: echo a test message",
"expected_outcome": "Echo returns the message",
},
{
"tool_name": "time",
"parameters": {"operation": "now"},
"reasoning": "Second step: get the current time",
"expected_outcome": "Returns current timestamp",
},
],
"estimated_cost": 0.001,
"estimated_time_secs": 5,
"confidence": 0.95,
})}
# Post-plan completion check: after tool results, say complete
if "planned actions" in last_user.lower() and tool_result_count >= 2:
return {"text": "The job is complete. All tasks are done."}
# Continuation prompt (from our fix): the plan didn't fully complete,
# now the agentic loop should call tools
if "continue executing now" in last_user.lower() and has_tools:
return {"tool_call": {
"tool_name": "echo",
"arguments": {"message": "continuation-step"},
}}
# After a tool result in the agentic loop, signal completion
if tool_result_count > 0 and has_tools:
return {"text": "The job is complete. All requested work has been finished."}
return None
def match_response(messages: list[dict]) -> str:
content = _last_user_content(messages)
for pattern, response in CANNED_RESPONSES:
if pattern.search(content):
return response
return DEFAULT_RESPONSE
def match_tool_call(messages: list[dict], has_tools: bool) -> dict | None:
if not has_tools:
return None
content = _last_user_content(messages)
for pattern, tool_name, args_fn in TOOL_CALL_PATTERNS:
m = pattern.search(content)
if m:
return {"tool_name": tool_name, "arguments": args_fn(m)}
return None
def _extract_tool_name(msg: dict) -> str:
"""Extract tool name from a message, checking both 'name' field and XML content."""
name = msg.get("name")
if name:
return name
# ironclaw wraps tool output as <tool_output name="...">
content = msg.get("content", "")
m = re.search(r'<tool_output\s+name="([^"]+)"', content)
if m:
return m.group(1)
return "unknown"
def _find_tool_result(messages: list[dict]) -> dict | None:
"""Find a pending tool result that appears after the last user message.
Only returns a tool result if it's a fresh result the agent is waiting
for the LLM to summarize (i.e., it follows the most recent user message).
This prevents stale tool results from earlier conversation turns from
being re-processed.
"""
# Find the position of the last user message
last_user_idx = -1
for i in range(len(messages) - 1, -1, -1):
if messages[i].get("role") == "user":
last_user_idx = i
break
# Only look for tool results after the last user message
for i in range(len(messages) - 1, last_user_idx, -1):
if messages[i].get("role") == "tool":
return {"name": _extract_tool_name(messages[i]),
"content": messages[i].get("content", "")}
return None
def _make_base(completion_id: str) -> dict:
return {"id": completion_id, "object": "chat.completion.chunk",
"created": int(time.time()), "model": "mock-model"}
async def _send_sse(resp: web.StreamResponse, data: dict):
await resp.write(f"data: {json.dumps(data)}\n\n".encode())
async def chat_completions(request: web.Request) -> web.StreamResponse:
"""Handle POST /v1/chat/completions and /chat/completions."""
body = await request.json()
messages = body.get("messages", [])
stream = body.get("stream", False)
has_tools = bool(body.get("tools"))
cid = f"mock-{uuid.uuid4().hex[:8]}"
# Job-mode conversations (background routine/job execution)
job_resp = match_job_response(messages, has_tools)
if job_resp:
if "tool_call" in job_resp:
tc = job_resp["tool_call"]
if not stream:
return _tool_call_response(cid, tc)
return await _stream_tool_call(request, cid, tc)
text = job_resp["text"]
if not stream:
return _text_response(cid, text)
return await _stream_text(request, cid, text)
# Tool result in messages -> text summary
tr = _find_tool_result(messages)
if tr:
text = f"The {tr['name']} tool returned: {tr['content']}"
if not stream:
return _text_response(cid, text)
return await _stream_text(request, cid, text)
# Tool-call pattern match
tc = match_tool_call(messages, has_tools)
if tc:
if not stream:
return _tool_call_response(cid, tc)
return await _stream_tool_call(request, cid, tc)
# Default text response
text = match_response(messages)
if not stream:
return _text_response(cid, text)
return await _stream_text(request, cid, text)
def _text_response(cid: str, text: str) -> web.Response:
return web.json_response({
"id": cid, "object": "chat.completion", "created": int(time.time()),
"model": "mock-model",
"choices": [{"index": 0, "message": {"role": "assistant", "content": text},
"finish_reason": "stop"}],
"usage": {"prompt_tokens": 10, "completion_tokens": len(text.split()), "total_tokens": 15},
})
def _tool_call_response(cid: str, tc: dict) -> web.Response:
return web.json_response({
"id": cid, "object": "chat.completion", "created": int(time.time()),
"model": "mock-model",
"choices": [{"index": 0, "message": {
"role": "assistant", "content": None,
"tool_calls": [{"id": f"call_{uuid.uuid4().hex[:8]}", "type": "function",
"function": {"name": tc["tool_name"],
"arguments": json.dumps(tc["arguments"])}}],
}, "finish_reason": "tool_calls"}],
"usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15},
})
async def _stream_text(request: web.Request, cid: str, text: str) -> web.StreamResponse:
resp = web.StreamResponse(status=200, headers={
"Content-Type": "text/event-stream", "Cache-Control": "no-cache"})
await resp.prepare(request)
base = _make_base(cid)
chunk = {**base, "choices": [{"index": 0, "delta": {"role": "assistant", "content": ""},
"finish_reason": None}]}
await _send_sse(resp, chunk)
for i, word in enumerate(text.split(" ")):
chunk["choices"][0]["delta"] = {"content": word if i == 0 else f" {word}"}
await _send_sse(resp, chunk)
chunk["choices"][0]["delta"] = {}
chunk["choices"][0]["finish_reason"] = "stop"
await _send_sse(resp, chunk)
await resp.write(b"data: [DONE]\n\n")
return resp
async def _stream_tool_call(request: web.Request, cid: str, tc: dict) -> web.StreamResponse:
resp = web.StreamResponse(status=200, headers={
"Content-Type": "text/event-stream", "Cache-Control": "no-cache"})
await resp.prepare(request)
call_id = f"call_{uuid.uuid4().hex[:8]}"
base = _make_base(cid)
# First chunk: role + tool call header with empty arguments
chunk = {**base, "choices": [{"index": 0, "delta": {
"role": "assistant",
"tool_calls": [{"index": 0, "id": call_id, "type": "function",
"function": {"name": tc["tool_name"], "arguments": ""}}],
}, "finish_reason": None}]}
await _send_sse(resp, chunk)
# Second chunk: arguments payload
chunk["choices"][0]["delta"] = {
"tool_calls": [{"index": 0, "function": {"arguments": json.dumps(tc["arguments"])}}]}
await _send_sse(resp, chunk)
# Final chunk: finish reason
chunk["choices"][0]["delta"] = {}
chunk["choices"][0]["finish_reason"] = "tool_calls"
await _send_sse(resp, chunk)
await resp.write(b"data: [DONE]\n\n")
return resp
async def oauth_exchange(request: web.Request) -> web.Response:
"""Mock OAuth token exchange proxy for E2E tests.
Accepts the generic hosted OAuth proxy contract used by IronClaw and
returns a fake token response. MCP callback tests assert that provider-
specific token params such as RFC 8707 `resource` are forwarded here.
"""
data = await request.post()
oauth_state = request.app["oauth_state"]
oauth_state["exchange_count"] += 1
oauth_state["last_exchange"] = {
"authorization": request.headers.get("Authorization"),
"form": dict(data),
}
code = data.get("code", "")
access_token_field = data.get("access_token_field", "access_token")
if code == "mock_mcp_code":
if not data.get("token_url", "").endswith("/oauth/token"):
return web.json_response({"error": "missing_token_url"}, status=400)
if not data.get("client_id"):
return web.json_response({"error": "missing_client_id"}, status=400)
if not data.get("resource"):
return web.json_response({"error": "missing_resource"}, status=400)
return web.json_response({
access_token_field: f"mock-token-{code}",
"refresh_token": "mock-refresh-token",
"expires_in": 3600,
})
async def oauth_refresh(request: web.Request) -> web.Response:
"""Mock OAuth token refresh proxy for hosted refresh E2E tests."""
data = await request.post()
oauth_state = request.app["oauth_state"]
oauth_state["refresh_count"] += 1
oauth_state["last_refresh"] = {
"authorization": request.headers.get("Authorization"),
"form": dict(data),
}
if request.headers.get("Authorization") != "Bearer e2e-test-token":
return web.json_response({"error": "invalid_gateway_auth"}, status=401)
if data.get("client_id") != "hosted-google-client-id":
return web.json_response({"error": "invalid_client_id"}, status=400)
if "client_secret" in data:
return web.json_response({"error": "unexpected_client_secret"}, status=400)
return web.json_response({
"access_token": "mock-refreshed-access-token",
"refresh_token": "mock-rotated-refresh-token",
"expires_in": 3600,
})
async def oauth_state_handler(request: web.Request) -> web.Response:
return web.json_response(request.app["oauth_state"])
async def oauth_reset(request: web.Request) -> web.Response:
request.app["oauth_state"] = _new_oauth_state()
return web.json_response({"ok": True})
async def models(_request: web.Request) -> web.Response:
return web.json_response({
"object": "list",
"data": [{"id": "mock-model", "object": "model", "owned_by": "test"}],
})
# ── Mock MCP Server ──────────────────────────────────────────────────────────
#
# Simulates an MCP server that requires OAuth. Unauthenticated requests get
# 401 + WWW-Authenticate (standard MCP flow) or 400 "Authorization header is
# badly formatted" (GitHub-style). Authenticated requests return valid
# JSON-RPC responses for initialize and tools/list.
async def mcp_endpoint(request: web.Request) -> web.Response:
"""Handle POST /mcp — JSON-RPC MCP endpoint requiring Bearer auth."""
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer ") or len(auth.split(" ", 1)[1].strip()) == 0:
# Return 401 with WWW-Authenticate header for OAuth discovery
resource_meta_url = f"http://127.0.0.1:{request.app['port']}/.well-known/oauth-protected-resource"
return web.Response(
status=401,
headers={"WWW-Authenticate": f'Bearer resource_metadata="{resource_meta_url}"'},
text="Unauthorized",
)
return await _mcp_handle_authed(request)
async def mcp_endpoint_400(request: web.Request) -> web.Response:
"""Handle POST /mcp-400 — MCP endpoint that returns 400 (GitHub-style).
Simulates GitHub's MCP server which returns 400 "Authorization header
is badly formatted" instead of 401 when auth is missing or invalid.
"""
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer ") or len(auth.split(" ", 1)[1].strip()) == 0:
return web.Response(
status=400,
text="bad request: Authorization header is badly formatted",
)
return await _mcp_handle_authed(request)
async def _mcp_handle_authed(request: web.Request) -> web.Response:
"""Handle an authenticated MCP JSON-RPC request."""
body = await request.json()
method = body.get("method", "")
req_id = body.get("id")
if method == "initialize":
return web.json_response({
"jsonrpc": "2.0", "id": req_id,
"result": {
"protocolVersion": "2024-11-05",
"capabilities": {"tools": {}},
"serverInfo": {"name": "mock-mcp", "version": "1.0.0"},
},
})
if method == "notifications/initialized":
return web.json_response({"jsonrpc": "2.0", "id": req_id, "result": {}})
if method == "tools/list":
return web.json_response({
"jsonrpc": "2.0", "id": req_id,
"result": {"tools": [{
"name": "mock_search",
"description": "A mock search tool for testing",
"inputSchema": {"type": "object", "properties": {
"query": {"type": "string"},
}},
}]},
})
return web.json_response({"jsonrpc": "2.0", "id": req_id, "error": {
"code": -32601, "message": f"Method not found: {method}",
}})
async def mcp_protected_resource(request: web.Request) -> web.Response:
"""GET /.well-known/oauth-protected-resource[/{path}] — RFC 9728 discovery.
Production code appends the MCP server path after the well-known suffix
(e.g. /.well-known/oauth-protected-resource/mcp-400), so this handler
accepts an optional tail and returns a resource matching the request.
"""
port = request.app["port"]
tail = request.match_info.get("tail", "mcp")
return web.json_response({
"resource": f"http://127.0.0.1:{port}/{tail}",
"authorization_servers": [f"http://127.0.0.1:{port}"],
})
async def mcp_auth_server_metadata(request: web.Request) -> web.Response:
"""GET /.well-known/oauth-authorization-server[/{path}] — OAuth metadata."""
port = request.app["port"]
base = f"http://127.0.0.1:{port}"
return web.json_response({
"issuer": base,
"authorization_endpoint": f"{base}/oauth/authorize",
"token_endpoint": f"{base}/oauth/token",
"registration_endpoint": f"{base}/oauth/register",
"scopes_supported": ["read", "write"],
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"code_challenge_methods_supported": ["S256"],
})
async def mcp_oauth_register(request: web.Request) -> web.Response:
"""POST /oauth/register — Dynamic Client Registration."""
body = await request.json()
return web.json_response({
"client_id": "mock-mcp-client-id",
"client_name": body.get("client_name", "IronClaw"),
"redirect_uris": body.get("redirect_uris", []),
})
async def mcp_oauth_token(request: web.Request) -> web.Response:
"""POST /oauth/token — Token endpoint for MCP OAuth."""
data = await request.post()
code = data.get("code", "")
return web.json_response({
"access_token": f"mcp-token-{code}",
"token_type": "Bearer",
"expires_in": 3600,
})
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=0)
args = parser.parse_args()
app = web.Application()
app["oauth_state"] = _new_oauth_state()
# Register both /v1/ and non-/v1/ paths (rig-core omits the /v1/ prefix)
app.router.add_post("/v1/chat/completions", chat_completions)
app.router.add_post("/chat/completions", chat_completions)
app.router.add_get("/v1/models", models)
app.router.add_get("/models", models)
app.router.add_post("/oauth/exchange", oauth_exchange)
app.router.add_post("/oauth/refresh", oauth_refresh)
app.router.add_get("/__mock/oauth/state", oauth_state_handler)
app.router.add_post("/__mock/oauth/reset", oauth_reset)
# Mock MCP server endpoints
app.router.add_post("/mcp", mcp_endpoint)
app.router.add_post("/mcp-400", mcp_endpoint_400)
app.router.add_get("/.well-known/oauth-protected-resource", mcp_protected_resource)
app.router.add_get("/.well-known/oauth-protected-resource/{tail:.*}", mcp_protected_resource)
app.router.add_get("/.well-known/oauth-authorization-server", mcp_auth_server_metadata)
app.router.add_get("/.well-known/oauth-authorization-server/{tail:.*}", mcp_auth_server_metadata)
app.router.add_post("/oauth/register", mcp_oauth_register)
app.router.add_post("/oauth/token", mcp_oauth_token)
async def start():
runner = web.AppRunner(app)
await runner.setup()
site = web.TCPSite(runner, "127.0.0.1", args.port)
await site.start()
port = site._server.sockets[0].getsockname()[1]
app["port"] = port # used by MCP handlers
print(f"MOCK_LLM_PORT={port}", flush=True)
await asyncio.Event().wait()
asyncio.run(start())
if __name__ == "__main__":
main()