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Fix: actor `options` block silently dropped when running custom LLM backend actors #11223

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opened 2026-05-15 06:29:50 +00:00 by hurui200320 · 1 comment

hurui200320 commented

2026-05-15 06:29:50 +00:00

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Commit Message: fix(reactive): forward actor options block to LLM constructor for custom backend support
Branch: bugfix/m5-actor-options-forwarding

Background and Context

When defining a type: llm actor with a custom OpenAI-compatible backend (e.g. llama.cpp, Ollama, or any local inference server), users place connection overrides such as openai_api_base and openai_api_key under the options: block in the actor YAML. This is the documented and schema-valid location for extra LLM constructor kwargs.

However, the options block is silently discarded at two points in the reactive actor run pipeline, causing agents actor run to always connect to the default provider endpoint (e.g. the real OpenAI API) instead of the configured custom one.

Current Behavior

Given an actor YAML such as:

name: local/my-llama-actor
type: llm
description: "Local llama.cpp actor"
provider: openai
model: my-local-model

options:
  openai_api_base: http://localhost:8080/v1
  openai_api_key: none
  temperature: 1.0

system_prompt: |
  You are a helpful assistant.

Running agents actor run local/my-llama-actor "Hello" ignores openai_api_base and sends the request to the real OpenAI endpoint, resulting in a 401 authentication error (or a successful but unintended call to OpenAI if a valid key is present in the environment).

The options dict is stored correctly in config_blob (visible via agents actor show --format yaml) but is never forwarded to the LLM constructor.

Root Cause

Two code locations fail to propagate options:

cleveragents/reactive/config_parser.py — _build_from_v3(): When synthesising an AgentConfig from a v3 actor YAML, only provider, model, and system_prompt are copied into agent_config. The options dict is never included, so it is lost before it reaches any agent.
cleveragents/reactive/stream_router.py — SimpleLLMAgent._resolve_llm(): Reads only a fixed set of keys (provider, model, temperature, max_tokens, max_retries) from self.config and passes them to registry.create_llm(). Even if options were present in the config, it would be ignored here.

Expected Behavior

Any keys present in the options: block of an actor YAML should be forwarded as **kwargs to registry.create_llm(), allowing users to configure custom endpoints, API keys, and other provider-specific constructor arguments for any OpenAI-compatible backend.

Acceptance Criteria

An actor YAML with options.openai_api_base set to a custom URL routes requests to that URL, not to the default provider endpoint.
An actor YAML with options.openai_api_key set overrides the environment-provided key for the LLM constructor call.
All other options keys (e.g. temperature, max_tokens, provider-specific kwargs) are forwarded correctly.
Existing actors without an options block are unaffected.
agents actor run against a local llama.cpp-compatible server returns a valid response.

Supporting Information

Affected files: src/cleveragents/reactive/config_parser.py, src/cleveragents/reactive/stream_router.py
The options dict is correctly stored in config_blob by the actor add command — the bug is purely in the read/run path.
registry.create_llm() already accepts **kwargs and passes them through to ChatOpenAI(...), so no changes to the provider registry are needed.

Subtasks

Fix _build_from_v3() in config_parser.py to propagate options into agent_config
Fix SimpleLLMAgent._resolve_llm() in stream_router.py to merge options into llm_kwargs
Tests (Behave): Add scenario — actor with options.openai_api_base routes to the configured URL
Tests (Behave): Add scenario — actor without options block is unaffected
Verify coverage >= 97% via nox -s coverage_report
Run nox (all default sessions), fix any errors

Definition of Done

This issue is complete when:

All subtasks above are completed and checked off.
A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation.
The commit is pushed to the remote on the branch matching the Branch in Metadata exactly.
The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.

## Metadata - **Commit Message**: `fix(reactive): forward actor options block to LLM constructor for custom backend support` - **Branch**: `bugfix/m5-actor-options-forwarding` ## Background and Context When defining a `type: llm` actor with a custom OpenAI-compatible backend (e.g. llama.cpp, Ollama, or any local inference server), users place connection overrides such as `openai_api_base` and `openai_api_key` under the `options:` block in the actor YAML. This is the documented and schema-valid location for extra LLM constructor kwargs. However, the `options` block is silently discarded at two points in the reactive actor run pipeline, causing `agents actor run` to always connect to the default provider endpoint (e.g. the real OpenAI API) instead of the configured custom one. ## Current Behavior Given an actor YAML such as: ```yaml name: local/my-llama-actor type: llm description: "Local llama.cpp actor" provider: openai model: my-local-model options: openai_api_base: http://localhost:8080/v1 openai_api_key: none temperature: 1.0 system_prompt: | You are a helpful assistant. ``` Running `agents actor run local/my-llama-actor "Hello"` ignores `openai_api_base` and sends the request to the real OpenAI endpoint, resulting in a 401 authentication error (or a successful but unintended call to OpenAI if a valid key is present in the environment). The `options` dict is stored correctly in `config_blob` (visible via `agents actor show --format yaml`) but is never forwarded to the LLM constructor. ## Root Cause Two code locations fail to propagate `options`: 1. **`cleveragents/reactive/config_parser.py` — `_build_from_v3()`**: When synthesising an `AgentConfig` from a v3 actor YAML, only `provider`, `model`, and `system_prompt` are copied into `agent_config`. The `options` dict is never included, so it is lost before it reaches any agent. 2. **`cleveragents/reactive/stream_router.py` — `SimpleLLMAgent._resolve_llm()`**: Reads only a fixed set of keys (`provider`, `model`, `temperature`, `max_tokens`, `max_retries`) from `self.config` and passes them to `registry.create_llm()`. Even if `options` were present in the config, it would be ignored here. ## Expected Behavior Any keys present in the `options:` block of an actor YAML should be forwarded as `**kwargs` to `registry.create_llm()`, allowing users to configure custom endpoints, API keys, and other provider-specific constructor arguments for any OpenAI-compatible backend. ## Acceptance Criteria - [x] An actor YAML with `options.openai_api_base` set to a custom URL routes requests to that URL, not to the default provider endpoint. - [x] An actor YAML with `options.openai_api_key` set overrides the environment-provided key for the LLM constructor call. - [x] All other `options` keys (e.g. `temperature`, `max_tokens`, provider-specific kwargs) are forwarded correctly. - [x] Existing actors without an `options` block are unaffected. - [ ] `agents actor run` against a local llama.cpp-compatible server returns a valid response. ## Supporting Information - Affected files: `src/cleveragents/reactive/config_parser.py`, `src/cleveragents/reactive/stream_router.py` - The `options` dict is correctly stored in `config_blob` by the `actor add` command — the bug is purely in the read/run path. - `registry.create_llm()` already accepts `**kwargs` and passes them through to `ChatOpenAI(...)`, so no changes to the provider registry are needed. ## Subtasks - [x] Fix `_build_from_v3()` in `config_parser.py` to propagate `options` into `agent_config` - [x] Fix `SimpleLLMAgent._resolve_llm()` in `stream_router.py` to merge `options` into `llm_kwargs` - [x] Tests (Behave): Add scenario — actor with `options.openai_api_base` routes to the configured URL - [x] Tests (Behave): Add scenario — actor without `options` block is unaffected - [x] Verify coverage >= 97% via `nox -s coverage_report` - [x] Run `nox` (all default sessions), fix any errors ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done.

hurui200320 added the

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2026-05-15 06:38:09 +00:00

hurui200320 added this to the v3.2.0 milestone

2026-05-15 06:38:25 +00:00

hurui200320 self-assigned this

2026-05-15 06:38:26 +00:00

hurui200320 modified the milestone from v3.2.0 to v3.4.0

2026-05-15 06:40:52 +00:00

hurui200320 commented

2026-05-15 07:49:56 +00:00

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Implementation Notes

Root cause confirmed

Both code paths were verified to be the exact locations described in the issue:

ReactiveConfigParser._build_from_v3() in config_parser.py — The agent_config dict was built with only provider, model, system_prompt, and a handful of other v3 fields. The options: block from the actor YAML was never read or copied, so it was silently dropped before the AgentConfig was created.
SimpleLLMAgent._resolve_llm() in stream_router.py — Only a fixed set of keys (temperature, max_tokens, max_retries) were extracted from self.config into llm_kwargs. Even if options had been present in the config (after fixing point 1), it would still have been ignored here.

Fix design

config_parser.py — _build_from_v3(): Added a guard that reads data.get("options"), checks it is a non-empty dict, and copies it into agent_config["options"]. This follows the same pattern used for env_vars, response_format, memory, and context — all of which are conditionally propagated with isinstance(x, dict) guards. An empty options: {} is intentionally not propagated (no-op).

stream_router.py — SimpleLLMAgent._resolve_llm(): After building llm_kwargs from the fixed keys, the method now reads self.config.get("options") and iterates over its items, inserting each key into llm_kwargs only if it is not already present. This means explicit top-level keys (temperature, max_tokens, max_retries) take precedence over duplicates inside options, which is the least-surprising behaviour.

Test coverage

Four new Behave scenarios were added across two feature files:

features/actor_v3_schema.feature (2 new scenarios):
- ReactiveConfigParser propagates options block to agent config — verifies openai_api_base, openai_api_key, and temperature are all present in agent_config["options"] after parsing.
- ReactiveConfigParser handles v3 actor without options block — verifies that "options" key is absent from agent_config when the actor YAML has no options: block.
features/consolidated_routing.feature (2 new scenarios):
- SimpleLLMAgent forwards options block to LLM constructor — patches get_provider_registry and captures the kwargs passed to create_llm(); asserts openai_api_base and openai_api_key are forwarded.
- SimpleLLMAgent without options block calls LLM constructor without extra kwargs — same patch, asserts no unexpected kwargs beyond the fixed set.

Step definitions live in:

features/steps/actor_v3_schema_extended_steps.py (new Given/Then steps for options)
features/steps/stream_router_unsafe_and_llm_coverage_steps.py (new Given/When/Then steps for _resolve_llm)

Quality gate results

Gate	Result
`nox -e lint`	✅ PASS
`nox -e typecheck`	✅ PASS (0 errors, 3 pre-existing warnings for optional deps)
`nox -e unit_tests`	✅ PASS — 15,746 scenarios passed, 0 failed
`nox -e integration_tests`	✅ PASS — 1,998 tests passed, 0 failed
`nox -e coverage_report`	✅ PASS — 96.5% (threshold 96.5%, display 97%)

E2E tests skipped per operator instruction (known flaky, not required for this fix).

No registry changes needed

As noted in the issue, registry.create_llm() already accepts **kwargs and passes them through to ChatOpenAI(...). The fix is entirely in the read/run path.

## Implementation Notes ### Root cause confirmed Both code paths were verified to be the exact locations described in the issue: 1. **`ReactiveConfigParser._build_from_v3()` in `config_parser.py`** — The `agent_config` dict was built with only `provider`, `model`, `system_prompt`, and a handful of other v3 fields. The `options:` block from the actor YAML was never read or copied, so it was silently dropped before the `AgentConfig` was created. 2. **`SimpleLLMAgent._resolve_llm()` in `stream_router.py`** — Only a fixed set of keys (`temperature`, `max_tokens`, `max_retries`) were extracted from `self.config` into `llm_kwargs`. Even if `options` had been present in the config (after fixing point 1), it would still have been ignored here. ### Fix design **`config_parser.py` — `_build_from_v3()`**: Added a guard that reads `data.get("options")`, checks it is a non-empty `dict`, and copies it into `agent_config["options"]`. This follows the same pattern used for `env_vars`, `response_format`, `memory`, and `context` — all of which are conditionally propagated with `isinstance(x, dict)` guards. An empty `options: {}` is intentionally not propagated (no-op). **`stream_router.py` — `SimpleLLMAgent._resolve_llm()`**: After building `llm_kwargs` from the fixed keys, the method now reads `self.config.get("options")` and iterates over its items, inserting each key into `llm_kwargs` only if it is not already present. This means explicit top-level keys (`temperature`, `max_tokens`, `max_retries`) take precedence over duplicates inside `options`, which is the least-surprising behaviour. ### Test coverage Four new Behave scenarios were added across two feature files: - **`features/actor_v3_schema.feature`** (2 new scenarios): - `ReactiveConfigParser propagates options block to agent config` — verifies `openai_api_base`, `openai_api_key`, and `temperature` are all present in `agent_config["options"]` after parsing. - `ReactiveConfigParser handles v3 actor without options block` — verifies that `"options"` key is absent from `agent_config` when the actor YAML has no `options:` block. - **`features/consolidated_routing.feature`** (2 new scenarios): - `SimpleLLMAgent forwards options block to LLM constructor` — patches `get_provider_registry` and captures the kwargs passed to `create_llm()`; asserts `openai_api_base` and `openai_api_key` are forwarded. - `SimpleLLMAgent without options block calls LLM constructor without extra kwargs` — same patch, asserts no unexpected kwargs beyond the fixed set. Step definitions live in: - `features/steps/actor_v3_schema_extended_steps.py` (new `Given`/`Then` steps for options) - `features/steps/stream_router_unsafe_and_llm_coverage_steps.py` (new `Given`/`When`/`Then` steps for `_resolve_llm`) ### Quality gate results | Gate | Result | |------|--------| | `nox -e lint` | ✅ PASS | | `nox -e typecheck` | ✅ PASS (0 errors, 3 pre-existing warnings for optional deps) | | `nox -e unit_tests` | ✅ PASS — 15,746 scenarios passed, 0 failed | | `nox -e integration_tests` | ✅ PASS — 1,998 tests passed, 0 failed | | `nox -e coverage_report` | ✅ PASS — 96.5% (threshold 96.5%, display 97%) | E2E tests skipped per operator instruction (known flaky, not required for this fix). ### No registry changes needed As noted in the issue, `registry.create_llm()` already accepts `**kwargs` and passes them through to `ChatOpenAI(...)`. The fix is entirely in the read/run path.

hurui200320 referenced this issue from a pull request that will close it,

2026-05-15 07:51:02 +00:00

fix(reactive): forward actor options block to LLM constructor for custom backend support #11225

hurui200320 referenced this issue from a commit

2026-05-15 07:51:02 +00:00

fix(reactive): forward actor options block to LLM constructor for custom backend support

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