replace host.docker.internal with localhost in configs and docs

This commit is contained in:
Adil Hafeez 2026-03-04 15:40:01 -08:00
parent e5ea3f9730
commit 9e9de86961
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GPG key ID: 9B18EF7691369645
21 changed files with 42 additions and 42 deletions

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@ -23,7 +23,7 @@ model_providers:
# Ollama Models
- model: ollama/llama3.1
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
# Model aliases - friendly names that map to actual provider names

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@ -7,7 +7,7 @@ listeners:
endpoints:
rag_energy_source_agent:
endpoint: host.docker.internal:18083
endpoint: localhost:18083
connect_timeout: 0.005s
model_providers:

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@ -2,9 +2,9 @@ version: v0.3.0
agents:
- id: weather_agent
url: http://host.docker.internal:10510
url: http://localhost:10510
- id: flight_agent
url: http://host.docker.internal:10520
url: http://localhost:10520
model_providers:
- model: openai/gpt-5.2

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@ -74,16 +74,16 @@ The `config.yaml` defines how agents are connected:
```yaml
filters:
- id: input_guards
url: http://host.docker.internal:10500
url: http://localhost:10500
# type: mcp (default)
# tool: input_guards (default - same as filter id)
- id: query_rewriter
url: http://host.docker.internal:10501
url: http://localhost:10501
# type: mcp (default)
- id: context_builder
url: http://host.docker.internal:10502
url: http://localhost:10502
```
## How It Works

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@ -74,16 +74,16 @@ The `config.yaml` defines how agents are connected:
```yaml
filters:
- id: input_guards
url: http://host.docker.internal:10500
url: http://localhost:10500
# type: mcp (default)
# tool: input_guards (default - same as filter id)
- id: query_rewriter
url: http://host.docker.internal:10501
url: http://localhost:10501
# type: mcp (default)
- id: context_builder
url: http://host.docker.internal:10502
url: http://localhost:10502
```
## How It Works

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@ -2,21 +2,21 @@ version: v0.3.0
agents:
- id: rag_agent
url: http://host.docker.internal:10505
url: http://localhost:10505
filters:
- id: input_guards
url: http://host.docker.internal:10500
url: http://localhost:10500
# type: mcp (default)
# transport: streamable-http (default)
# tool: input_guards (default - same as filter id)
- id: query_rewriter
url: http://host.docker.internal:10501
url: http://localhost:10501
# type: mcp (default)
# transport: streamable-http (default)
# tool: query_rewriter (default - same as filter id)
- id: context_builder
url: http://host.docker.internal:10502
url: http://localhost:10502
model_providers:
- model: openai/gpt-4o-mini

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@ -44,7 +44,7 @@ model_providers:
access_key: $TOGETHER_API_KEY
- model: custom/test-model
base_url: http://host.docker.internal:11223
base_url: http://localhost:11223
provider_interface: openai
tracing:

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@ -11,7 +11,7 @@ listeners:
endpoints:
weather_forecast_service:
endpoint: host.docker.internal:18083
endpoint: localhost:18083
connect_timeout: 0.005s
overrides:

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@ -9,7 +9,7 @@ model_providers:
- model: my_llm_provider/llama3.2
provider_interface: openai
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
default: true
system_prompt: |

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@ -28,7 +28,7 @@ model_providers:
# Ollama Models
- model: ollama/llama3.1
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
# Model aliases - friendly names that map to actual provider names

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@ -49,7 +49,7 @@ model_providers:
# Ollama Models
- model: ollama/llama3.1
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
# Grok (xAI) Models
- model: xai/grok-4-0709

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@ -13,7 +13,7 @@ model_providers:
- name: arch-router
model: arch/hf.co/katanemo/Arch-Router-1.5B.gguf:Q4_K_M
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
- model: openai/gpt-4o-mini
access_key: $OPENAI_API_KEY

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@ -54,6 +54,6 @@ endpoints:
# value could be ip address or a hostname with port
# this could also be a list of endpoints for load balancing
# for example endpoint: [ ip1:port, ip2:port ]
endpoint: host.docker.internal:18083
endpoint: localhost:18083
# max time to wait for a connection to be established
connect_timeout: 0.005s

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@ -32,7 +32,7 @@ Basic Configuration
access_key: $ANTHROPIC_API_KEY
- model: ollama/llama3.1
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
# Define aliases that map to the models above
model_aliases:

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@ -598,9 +598,9 @@ Ollama
- model: ollama/llama3.1
base_url: http://localhost:11434
# Ollama in Docker (from host)
# Ollama running locally
- model: ollama/codellama
base_url: http://host.docker.internal:11434
base_url: http://localhost:11434
OpenAI-Compatible Providers

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@ -194,9 +194,9 @@ Here is a minimal configuration that wires Plano-Orchestrator to two HTTP servic
agents:
- id: flight_agent
url: http://host.docker.internal:10520 # your flights service
url: http://localhost:10520 # your flights service
- id: hotel_agent
url: http://host.docker.internal:10530 # your hotels service
url: http://localhost:10530 # your hotels service
model_providers:
- model: openai/gpt-4o

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@ -59,7 +59,7 @@ are some sample configuration files for both, respectively.
scheme: http
static_configs:
- targets:
- host.docker.internal:19901
- localhost:19901
params:
format: ["prometheus"]

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@ -2,9 +2,9 @@ version: v0.3.0
agents:
- id: weather_agent
url: http://host.docker.internal:10510
url: http://localhost:10510
- id: flight_agent
url: http://host.docker.internal:10520
url: http://localhost:10520
model_providers:
- model: openai/gpt-4o

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@ -2,16 +2,16 @@ version: v0.3.0
agents:
- id: rag_agent
url: http://host.docker.internal:10505
url: http://localhost:10505
filters:
- id: query_rewriter
url: http://host.docker.internal:10501
url: http://localhost:10501
# type: mcp # default is mcp
# transport: streamable-http # default is streamable-http
# tool: query_rewriter # default name is the filter id
- id: context_builder
url: http://host.docker.internal:10502
url: http://localhost:10502
model_providers:
- model: openai/gpt-4o-mini

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@ -4,15 +4,15 @@ version: v0.3.0
# External HTTP agents - API type is controlled by request path (/v1/responses, /v1/messages, /v1/chat/completions)
agents:
- id: weather_agent # Example agent for weather
url: http://host.docker.internal:10510
url: http://localhost:10510
- id: flight_agent # Example agent for flights
url: http://host.docker.internal:10520
url: http://localhost:10520
# MCP filters applied to requests/responses (e.g., input validation, query rewriting)
filters:
- id: input_guards # Example filter for input validation
url: http://host.docker.internal:10500
url: http://localhost:10500
# type: mcp (default)
# transport: streamable-http (default)
# tool: input_guards (default - same as filter id)

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@ -1,31 +1,31 @@
agents:
- id: weather_agent
url: http://host.docker.internal:10510
url: http://localhost:10510
- id: flight_agent
url: http://host.docker.internal:10520
url: http://localhost:10520
endpoints:
app_server:
connect_timeout: 0.005s
endpoint: 127.0.0.1
port: 80
flight_agent:
endpoint: host.docker.internal
endpoint: localhost
port: 10520
protocol: http
input_guards:
endpoint: host.docker.internal
endpoint: localhost
port: 10500
protocol: http
mistral_local:
endpoint: 127.0.0.1
port: 8001
weather_agent:
endpoint: host.docker.internal
endpoint: localhost
port: 10510
protocol: http
filters:
- id: input_guards
url: http://host.docker.internal:10500
url: http://localhost:10500
listeners:
- address: 0.0.0.0
agents:
@ -130,6 +130,6 @@ prompt_targets:
required: true
type: int
tracing:
opentracing_grpc_endpoint: http://host.docker.internal:4317
opentracing_grpc_endpoint: http://localhost:4317
random_sampling: 100
version: v0.3.0