feat: (WIP) improve openrouter tool parsing and openai tool encoding

This commit is contained in:
Shivering Ocelot committed 2026-06-04 11:27:42 -05:00
1 parent 7058cf0771
commit 17d3041a60
5 files changed
+164 -96

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+55 -22
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@@ -3,8 +3,9 @@ import asyncio
import json
import os
import ollama
import traceback
from stream import Stream
from tool import format_tools_for_engine, build_tool_prompt_prefix, ToolSpec
from tool import format_tools_for_engine, build_tool_prompt_prefix, ToolSpec, ToolCall
from llama_cpp import Llama
from openrouter import OpenRouter
@@ -115,11 +116,6 @@ async def chat_completion(app,
model_engine = db_model['engine']
model_name = db_model['model']
# Warn when tools are passed to engines that do not support native tool calling
if tools:
if model_engine not in ("llama-cpp",):
print(f"WARNING: Tool calls not supported for engine '{model_engine}'. Tools will be ignored.")
if model_engine == "llama-cpp":
result = await local_chat_completion(app, messages, model=model_name, tools=tools, opts=opts, agent_run=agent_run)
elif model_engine == "replicate":
@@ -260,10 +256,8 @@ async def ollama_chat_completion(app, messages, model, tools=[], opts={}, agent_
async def openrouter_chat_completion(app, messages, model, tools=[], opts={}, agent_run=None):
if agent_run:
content_stream = agent_run.stream
else:
content_stream = Stream(app)
if not agent_run:
raise Exception("agent_run required")
async def worker():
print("START OPENROUTER INFERENCE")
@@ -284,6 +278,12 @@ async def openrouter_chat_completion(app, messages, model, tools=[], opts={}, ag
try:
stream_response = await app.openrouter_client.chat.send_async(**kwargs)
# OpenAI format streams tool calls in parts
# We could, but I won't assume any tool call is complete until the message is over
# TODO: tool_call_by_index = {}
tool_calls = []
last_tool_call = None
async for event in stream_response:
if agent_run and agent_run.cancelled:
print(f"Cancelling openrouter inference for run {agent_run.id}")
@@ -292,22 +292,55 @@ async def openrouter_chat_completion(app, messages, model, tools=[], opts={}, ag
if event.choices and len(event.choices) > 0:
delta = event.choices[0].delta
if delta.content:
content_stream.feed(delta.content)
except asyncio.CancelledError:
print(f"OpenRouter task cancelled for run {agent_run.id if agent_run else 'unknown'}")
raise
content_stream.close()
if delta.content:
agent_run.feed_output(delta.content)
if delta.reasoning:
agent_run.feed_reasoning(delta.reasoning)
if delta.tool_calls:
print("[openrouter] tool call:" + repr(delta.tool_calls))
for tc in delta.tool_calls:
if not last_tool_call:
last_tool_call = ToolCall(None, arguments="")
tool_calls.append(last_tool_call)
if tc.id:
if last_tool_call.id is None:
last_tool_call.id = tc.id
elif last_tool_call.id != tc.id:
# New id = new tool
# TODO: WRONG! new id must append value to accumulating id. new index signals new tool
last_tool_call = ToolCall(None, arguments="", id=tc.id)
tool_calls.append(last_tool_call)
if tc.function:
if tc.function.name:
last_tool_call.tool_name = tc.function.name
if tc.function.arguments:
last_tool_call.arguments += tc.function.arguments
else:
print("[openrouter] no event choices: " + repr(event))
for tc in tool_calls:
try:
arguments = json.loads(tc.arguments)
tc.arguments = arguments
agent_run.emit_event('tool-call', tc)
except Exception:
print("[openrouter] Bad tool call arguments")
print(traceback.format_exc())
except asyncio.CancelledError:
print(f"[openrouter] task cancelled for run {agent_run.id}")
raise
except Exception:
print(f"[openrouter] exception during inference")
print(traceback.format_exc())
agent_run.close()
print("END OPENROUTER INFERENCE")
task = asyncio.create_task(worker())
if agent_run:
agent_run.task = task
if agent_run:
return None
return content_stream
agent_run.task = task
async def replicate_completion(app, messages, model=None, tools=[], opts={}, agent_run=None):